From b4c49bd5ef915640e59b5b3245a947e4ecc63713 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 11 Oct 2024 16:19:25 +0200 Subject: [PATCH 01/28] added dditional_files arg to all save() functions of object models. --- flood_adapt/dbs_classes/dbs_benefit.py | 6 ++++-- flood_adapt/dbs_classes/dbs_template.py | 18 +++++++++++++++--- flood_adapt/object_model/benefit.py | 9 ++++++++- .../direct_impact/measure/buyout.py | 6 +++++- .../direct_impact/measure/elevate.py | 6 +++++- .../direct_impact/measure/floodproof.py | 6 +++++- .../hazard/event/historical_hurricane.py | 6 +++++- .../hazard/event/historical_nearshore.py | 6 +++++- .../hazard/event/historical_offshore.py | 6 +++++- .../object_model/hazard/event/synthetic.py | 6 +++++- .../object_model/hazard/measure/floodwall.py | 6 +++++- .../hazard/measure/green_infrastructure.py | 6 +++++- .../object_model/hazard/measure/pump.py | 8 ++++++-- flood_adapt/object_model/interface/benefits.py | 4 ++-- flood_adapt/object_model/interface/events.py | 5 +++-- flood_adapt/object_model/interface/measures.py | 5 +++-- .../object_model/interface/projections.py | 5 +++-- .../object_model/interface/scenarios.py | 4 ++-- flood_adapt/object_model/interface/site.py | 4 ++-- .../object_model/interface/strategies.py | 6 ++++++ flood_adapt/object_model/projection.py | 7 ++++++- flood_adapt/object_model/scenario.py | 7 ++++++- flood_adapt/object_model/site.py | 8 +++++++- flood_adapt/object_model/strategy.py | 6 +++++- 24 files changed, 123 insertions(+), 33 deletions(-) diff --git a/flood_adapt/dbs_classes/dbs_benefit.py b/flood_adapt/dbs_classes/dbs_benefit.py index 364d644da..cbf97c86d 100644 --- a/flood_adapt/dbs_classes/dbs_benefit.py +++ b/flood_adapt/dbs_classes/dbs_benefit.py @@ -10,7 +10,9 @@ class DbsBenefit(DbsTemplate): _folder_name = "benefits" _object_model_class = Benefit - def save(self, benefit: IBenefit, overwrite: bool = False): + def save( + self, benefit: IBenefit, overwrite: bool = False, additional_files: bool = False + ): """Save a benefit object in the database. Parameters @@ -32,7 +34,7 @@ def save(self, benefit: IBenefit, overwrite: bool = False): ) # Save the benefit - super().save(benefit, overwrite=overwrite) + super().save(benefit, overwrite=overwrite, additional_files=additional_files) def delete(self, name: str, toml_only: bool = False): """Delete an already existing benefit in the database. diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index f011486c9..7a23594ca 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -114,8 +114,16 @@ def copy(self, old_name: str, new_name: str, new_description: str): continue shutil.copy(file, dest / file.name) - def save(self, object_model: ObjectModel, overwrite: bool = False): - """Save an object in the database. This only saves the toml file. If the object also contains a geojson file, this should be saved separately. + def save( + self, + object_model: ObjectModel, + overwrite: bool = False, + additional_files: bool = False, + ): + """Save an object in the database and all associated files. + + By default, this only saves the toml file. + Any additional files attached to the object can be saved by setting additional_files to True. Parameters ---------- @@ -124,6 +132,8 @@ def save(self, object_model: ObjectModel, overwrite: bool = False): overwrite : bool, optional whether to overwrite the object if it already exists in the database, by default False + additional_files : bool, optional + whether to save additional files, by default False Raises ------ @@ -145,8 +155,10 @@ def save(self, object_model: ObjectModel, overwrite: bool = False): if not (self._path / object_model.attrs.name).exists(): (self._path / object_model.attrs.name).mkdir() + # Save the object object_model.save( - self._path / object_model.attrs.name / f"{object_model.attrs.name}.toml" + self._path / object_model.attrs.name / f"{object_model.attrs.name}.toml", + additional_files=additional_files, ) def edit(self, object_model: ObjectModel): diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index 8405cbfbe..d0d22a265 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -597,13 +597,20 @@ def load_dict( obj._init() return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save the Benefit attributes as a toml file. Parameters ---------- filepath : Union[str, os.PathLike] path for saving the toml file + additional_files : bool, optional + Save additional input files in the database instead of referencing them from where the user imported them. """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Benefit objects." + ) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/buyout.py b/flood_adapt/object_model/direct_impact/measure/buyout.py index 530fea4d4..9a3b163c6 100644 --- a/flood_adapt/object_model/direct_impact/measure/buyout.py +++ b/flood_adapt/object_model/direct_impact/measure/buyout.py @@ -38,7 +38,11 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Buyout to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Buyout objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/elevate.py b/flood_adapt/object_model/direct_impact/measure/elevate.py index 9b895a0ae..4a96b8922 100644 --- a/flood_adapt/object_model/direct_impact/measure/elevate.py +++ b/flood_adapt/object_model/direct_impact/measure/elevate.py @@ -38,7 +38,11 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Elevate to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Elevate objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/floodproof.py b/flood_adapt/object_model/direct_impact/measure/floodproof.py index 870601d71..23f067f27 100644 --- a/flood_adapt/object_model/direct_impact/measure/floodproof.py +++ b/flood_adapt/object_model/direct_impact/measure/floodproof.py @@ -38,7 +38,11 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save FloodProof to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for FloodProof objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index fd8f12c05..74fad76e3 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -84,7 +84,7 @@ def load_dict(data: dict[str, Any]): # return object return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save event toml. Parameters @@ -92,6 +92,10 @@ def save(self, filepath: Union[str, os.PathLike]): file : Path path to the location where file will be saved """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for HisticalHurricane objects." + ) # save toml file with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 3cc3b5e44..60f60edf2 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -50,7 +50,7 @@ def load_dict(data: dict[str, Any]): obj.attrs = HistoricalNearshoreModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save event toml. Parameters @@ -58,6 +58,10 @@ def save(self, filepath: Union[str, os.PathLike]): file : Path path to the location where file will be saved """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for HistoricalNearshore objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index f0aad124e..87f5d39bc 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -37,7 +37,7 @@ def load_dict(data: dict[str, Any]): obj.attrs = HistoricalOffshoreModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save event toml. Parameters @@ -45,5 +45,9 @@ def save(self, filepath: Union[str, os.PathLike]): file : Path path to the location where file will be saved """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for HistoricalOffshore objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/synthetic.py b/flood_adapt/object_model/hazard/event/synthetic.py index 22984153a..c596e5dfc 100644 --- a/flood_adapt/object_model/hazard/event/synthetic.py +++ b/flood_adapt/object_model/hazard/event/synthetic.py @@ -54,7 +54,7 @@ def load_dict(data: dict[str, Any]): obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save event toml. Parameters @@ -62,6 +62,10 @@ def save(self, filepath: Union[str, os.PathLike]): file : Path path to the location where file will be saved """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for SyntheticEvent objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/floodwall.py b/flood_adapt/object_model/hazard/measure/floodwall.py index 1bcb66c9c..2b146bc0f 100644 --- a/flood_adapt/object_model/hazard/measure/floodwall.py +++ b/flood_adapt/object_model/hazard/measure/floodwall.py @@ -41,7 +41,11 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Floodwall to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for FloodWall objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index a36d20172..3a4da8d62 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -48,8 +48,12 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Green Infra to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for GreenInfrastructure objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/pump.py b/flood_adapt/object_model/hazard/measure/pump.py index cdadf3be0..e8fe2735e 100644 --- a/flood_adapt/object_model/hazard/measure/pump.py +++ b/flood_adapt/object_model/hazard/measure/pump.py @@ -41,7 +41,11 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): - """Save Floodwall to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Pump to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Pump objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/interface/benefits.py b/flood_adapt/object_model/interface/benefits.py index 39063dda9..44dc8e36b 100644 --- a/flood_adapt/object_model/interface/benefits.py +++ b/flood_adapt/object_model/interface/benefits.py @@ -47,8 +47,8 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Benefit attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Benefit attributes to a toml file, and optionally additional files.""" ... @abstractmethod diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 224a71415..3fda44f0b 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -222,8 +222,9 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Event attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Event attributes to a toml file, and optionally additional files.""" + ... class ISynthetic(IEvent): diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index f6c2da3e6..329ee33e5 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -225,8 +225,9 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Measure attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Measure attributes to a toml file, and optionally additional files.""" + ... class IElevate(IMeasure): diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 0175aa124..894bddd91 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -54,5 +54,6 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Projection attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Projection attributes to a toml file, and optionally additional files.""" + ... diff --git a/flood_adapt/object_model/interface/scenarios.py b/flood_adapt/object_model/interface/scenarios.py index e646832af..4a9fe31db 100644 --- a/flood_adapt/object_model/interface/scenarios.py +++ b/flood_adapt/object_model/interface/scenarios.py @@ -32,8 +32,8 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Scenario attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Scenario attributes to a toml file, and optionally additional files.""" ... @abstractmethod diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index 0c8a7438d..df1bb499f 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -354,6 +354,6 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Site attributes to a toml file.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save site attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index 95d79a844..3243ee685 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -1,5 +1,6 @@ import os from abc import ABC, abstractmethod +from pathlib import Path from typing import Any, Optional, Union from pydantic import BaseModel, Field @@ -34,3 +35,8 @@ def load_dict( @abstractmethod def save(self, filepath: Union[str, os.PathLike]): """Save Strategy attributes to a toml file.""" + + @abstractmethod + def save_additional_files(self, input_dir: Path): + """Save additional files to the objects input directory.""" + ... diff --git a/flood_adapt/object_model/projection.py b/flood_adapt/object_model/projection.py index c814c9568..62dbd1cc1 100644 --- a/flood_adapt/object_model/projection.py +++ b/flood_adapt/object_model/projection.py @@ -38,8 +38,13 @@ def load_dict(data: dict[str, Any]): obj.attrs = ProjectionModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Projection to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Projection objects." + ) + if not os.path.exists(filepath): os.makedirs(os.path.dirname(filepath), exist_ok=True) diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index c29fa4f3c..68fc56271 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -59,8 +59,13 @@ def load_dict(data: dict[str, Any], database_input_path: os.PathLike): obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Scenario to a toml file.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Scenario objects." + ) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/site.py b/flood_adapt/object_model/site.py index 03c09c0f9..e21e59f3d 100644 --- a/flood_adapt/object_model/site.py +++ b/flood_adapt/object_model/site.py @@ -36,7 +36,13 @@ def load_dict(data: dict[str, Any]): obj.attrs = SiteModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike]) -> None: + def save( + self, filepath: Union[str, os.PathLike], additional_files: bool = False + ) -> None: """Write toml file from model object.""" + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Site objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self._attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index 124442951..f0511cf8c 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -117,7 +117,7 @@ def load_dict( return obj - def save(self, filepath: Union[str, os.PathLike]): + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Strategy to a toml file. Parameters @@ -125,5 +125,9 @@ def save(self, filepath: Union[str, os.PathLike]): filepath : Union[str, os.PathLike] path of the toml file to be saved """ + if additional_files: + raise NotImplementedError( + "Additional files are not yet implemented for Strategy objects." + ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) From 618301b5171258c7e8eb90f4946a1933d7033f0a Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 11 Oct 2024 18:13:26 +0200 Subject: [PATCH 02/28] implement saving additional files for all object_models. TODO add tests and fix broken ones --- flood_adapt/api/events.py | 4 ++ flood_adapt/api/measures.py | 4 +- flood_adapt/api/projections.py | 4 +- flood_adapt/dbs_classes/dbs_interface.py | 9 +++- flood_adapt/dbs_classes/dbs_template.py | 2 +- flood_adapt/object_model/benefit.py | 2 +- .../direct_impact/measure/buyout.py | 9 ++-- .../direct_impact/measure/elevate.py | 10 +++-- .../direct_impact/measure/floodproof.py | 9 ++-- .../hazard/event/historical_hurricane.py | 27 +++++++---- .../hazard/event/historical_nearshore.py | 45 +++++++++++++++++-- .../hazard/event/historical_offshore.py | 45 +++++++++++++++++-- .../object_model/hazard/measure/floodwall.py | 9 ++-- .../hazard/measure/green_infrastructure.py | 10 +++-- .../object_model/hazard/measure/pump.py | 10 +++-- .../object_model/interface/strategies.py | 9 +--- flood_adapt/object_model/projection.py | 14 +++--- flood_adapt/object_model/scenario.py | 2 +- flood_adapt/object_model/site.py | 2 +- flood_adapt/object_model/strategy.py | 4 +- flood_adapt/object_model/utils.py | 35 +++++++++++++++ tests/test_object_model/test_events.py | 35 ++++----------- tests/test_object_model/test_projections.py | 2 + 23 files changed, 220 insertions(+), 82 deletions(-) diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index 43e73361b..f4c9a1f9c 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -99,6 +99,10 @@ def create_historical_hurricane_event(attrs: dict[str, Any]) -> IHistoricalHurri return EventFactory.get_event("Historical_hurricane").load_dict(attrs) +def save_event(event: IEvent, additional_files: bool = True) -> None: + Database().events.save(event, additional_files=additional_files) + + def save_event_toml(event: IEvent) -> None: Database().events.save(event) diff --git a/flood_adapt/api/measures.py b/flood_adapt/api/measures.py index dcd0ab492..d38e71e7a 100644 --- a/flood_adapt/api/measures.py +++ b/flood_adapt/api/measures.py @@ -60,8 +60,8 @@ def create_measure(attrs: dict[str, Any], type: str = None) -> IMeasure: return GreenInfrastructure.load_dict(attrs, database_path) -def save_measure(measure: IMeasure) -> None: - Database().measures.save(measure) +def save_measure(measure: IMeasure, additional_files: bool = True) -> None: + Database().measures.save(measure, additional_files=additional_files) def edit_measure(measure: IMeasure) -> None: diff --git a/flood_adapt/api/projections.py b/flood_adapt/api/projections.py index c8b05984c..ba962f2f1 100644 --- a/flood_adapt/api/projections.py +++ b/flood_adapt/api/projections.py @@ -18,8 +18,8 @@ def create_projection(attrs: dict[str, Any]) -> IProjection: return Projection.load_dict(attrs) -def save_projection(projection: IProjection) -> None: - Database().projections.save(projection) +def save_projection(projection: IProjection, additional_files: bool = False) -> None: + Database().projections.save(projection, additional_files=additional_files) def edit_projection(projection: IProjection) -> None: diff --git a/flood_adapt/dbs_classes/dbs_interface.py b/flood_adapt/dbs_classes/dbs_interface.py index 45912d755..7bc081073 100644 --- a/flood_adapt/dbs_classes/dbs_interface.py +++ b/flood_adapt/dbs_classes/dbs_interface.py @@ -60,7 +60,12 @@ def copy(self, old_name: str, new_name: str, new_description: str): pass @abstractmethod - def save(self, object_model: ObjectModel, overwrite: bool = False): + def save( + self, + object_model: ObjectModel, + overwrite: bool = False, + additional_files: bool = False, + ): """Save an object in the database. This only saves the toml file. If the object also contains a geojson file, this should be saved separately. @@ -72,6 +77,8 @@ def save(self, object_model: ObjectModel, overwrite: bool = False): overwrite : OverwriteMode, optional whether to overwrite the object if it already exists in the database, by default False + additional_files : bool, optional + whether to save additional files, such as geojson files, by default False Raises ------ diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index 7a23594ca..613d22b53 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -133,7 +133,7 @@ def save( whether to overwrite the object if it already exists in the database, by default False additional_files : bool, optional - whether to save additional files, by default False + whether to save additional files attached to the object in the database, by default False Raises ------ diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index d0d22a265..18fa55098 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -609,7 +609,7 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False """ if additional_files: raise NotImplementedError( - "Additional files are not yet implemented for Benefit objects." + f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." ) with open(filepath, "wb") as f: diff --git a/flood_adapt/object_model/direct_impact/measure/buyout.py b/flood_adapt/object_model/direct_impact/measure/buyout.py index 9a3b163c6..f55113de8 100644 --- a/flood_adapt/object_model/direct_impact/measure/buyout.py +++ b/flood_adapt/object_model/direct_impact/measure/buyout.py @@ -9,6 +9,7 @@ ImpactMeasure, ) from flood_adapt.object_model.interface.measures import BuyoutModel, IBuyout +from flood_adapt.object_model.utils import import_external_file class Buyout(ImpactMeasure, IBuyout): @@ -41,8 +42,10 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Buyout to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for Buyout objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/elevate.py b/flood_adapt/object_model/direct_impact/measure/elevate.py index 4a96b8922..52b8edb8a 100644 --- a/flood_adapt/object_model/direct_impact/measure/elevate.py +++ b/flood_adapt/object_model/direct_impact/measure/elevate.py @@ -9,6 +9,7 @@ ImpactMeasure, ) from flood_adapt.object_model.interface.measures import ElevateModel, IElevate +from flood_adapt.object_model.utils import import_external_file class Elevate(ImpactMeasure, IElevate): @@ -41,8 +42,11 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Elevate to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for Elevate objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/floodproof.py b/flood_adapt/object_model/direct_impact/measure/floodproof.py index 23f067f27..abe1e75b4 100644 --- a/flood_adapt/object_model/direct_impact/measure/floodproof.py +++ b/flood_adapt/object_model/direct_impact/measure/floodproof.py @@ -9,6 +9,7 @@ ImpactMeasure, ) from flood_adapt.object_model.interface.measures import FloodProofModel, IFloodProof +from flood_adapt.object_model.utils import import_external_file class FloodProof(ImpactMeasure, IFloodProof): @@ -41,8 +42,10 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save FloodProof to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for FloodProof objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 74fad76e3..8649788d7 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -13,7 +13,6 @@ HistoricalHurricaneModel, IHistoricalHurricane, ) -from flood_adapt.object_model.site import Site class HistoricalHurricane(Event, IHistoricalHurricane): @@ -34,7 +33,7 @@ class HistoricalHurricane(Event, IHistoricalHurricane): Save event toml """ - attrs = HistoricalHurricaneModel + attrs: HistoricalHurricaneModel @staticmethod def load_file(filepath: Union[str, os.PathLike]): @@ -93,14 +92,22 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False path to the location where file will be saved """ if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for HisticalHurricane objects." - ) + if ( + self.attrs.rainfall.source == "track" + or self.attrs.rainfall.source == "map" + ): + # @gundula is this the correct way to handle this? + # This creates the spw file when saving instead of when running a scenario + # We should then also only reference it in the sfincs adapter and only copy it over when needed + self.make_spw_file( + event_path=Path(filepath).parent, model_dir=Path(filepath).parent + ) + # save toml file with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) - def make_spw_file(self, event_path: Path, model_dir: Path, site=Site): + def make_spw_file(self, event_path: Path, model_dir: Path): # Location of tropical cyclone database cyc_file = event_path.joinpath(f"{self.attrs.track_name}.cyc") # Initialize the tropical cyclone database @@ -112,7 +119,7 @@ def make_spw_file(self, event_path: Path, model_dir: Path, site=Site): self.attrs.hurricane_translation.eastwest_translation.value != 0 or self.attrs.hurricane_translation.northsouth_translation.value != 0 ): - tc = self.translate_tc_track(tc=tc, site=site) + tc = self.translate_tc_track(tc=tc) if self.attrs.rainfall.source == "track": tc.include_rainfall = True @@ -125,9 +132,11 @@ def make_spw_file(self, event_path: Path, model_dir: Path, site=Site): # Create spiderweb file from the track tc.to_spiderweb(spw_file) - def translate_tc_track(self, tc: TropicalCyclone, site: Site): + def translate_tc_track(self, tc: TropicalCyclone): + from flood_adapt.dbs_controller import Database + # First convert geodataframe to the local coordinate system - crs = pyproj.CRS.from_string(site.attrs.sfincs.csname) + crs = pyproj.CRS.from_string(Database().site.attrs.sfincs.csname) tc.track = tc.track.to_crs(crs) # Translate the track in the local coordinate system diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 60f60edf2..1d6fd44ec 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -14,6 +14,7 @@ IHistoricalNearshore, ) from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength +from flood_adapt.object_model.utils import import_external_file class HistoricalNearshore(Event, IHistoricalNearshore): @@ -59,9 +60,47 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False path to the location where file will be saved """ if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for HistoricalNearshore objects." - ) + if self.attrs.rainfall.source == "timeseries": + if self.attrs.rainfall.timeseries_file is None: + raise ValueError( + "The timeseries file for the rainfall source is not set." + ) + new_path = import_external_file( + self.attrs.rainfall.timeseries_file, Path(filepath).parent + ) + self.attrs.rainfall.timeseries_file = str(new_path) + + if self.attrs.wind.source == "timeseries": + if self.attrs.wind.timeseries_file is None: + raise ValueError( + "The timeseries file for the wind source is not set." + ) + new_path = import_external_file( + self.attrs.wind.timeseries_file, Path(filepath).parent + ) + self.attrs.wind.timeseries_file = str(new_path) + + for river in self.attrs.river: + if river.source == "timeseries": + if river.timeseries_file is None: + raise ValueError( + "The timeseries file for the river source is not set." + ) + new_path = import_external_file( + river.timeseries_file, Path(filepath).parent + ) + river.timeseries_file = str(new_path) + + if self.attrs.tide.source == "timeseries": + if self.attrs.tide.timeseries_file is None: + raise ValueError( + "The timeseries file for the tide source is not set." + ) + new_path = import_external_file( + self.attrs.tide.timeseries_file, Path(filepath).parent + ) + self.attrs.tide.timeseries_file = str(new_path) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index 87f5d39bc..e6c1698ed 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -10,6 +10,7 @@ HistoricalOffshoreModel, IHistoricalOffshore, ) +from flood_adapt.object_model.utils import import_external_file class HistoricalOffshore(Event, IHistoricalOffshore): @@ -46,8 +47,46 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False path to the location where file will be saved """ if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for HistoricalOffshore objects." - ) + if self.attrs.rainfall.source == "timeseries": + if self.attrs.rainfall.timeseries_file is None: + raise ValueError( + "The timeseries file for the rainfall source is not set." + ) + new_path = import_external_file( + self.attrs.rainfall.timeseries_file, Path(filepath).parent + ) + self.attrs.rainfall.timeseries_file = str(new_path) + + if self.attrs.wind.source == "timeseries": + if self.attrs.wind.timeseries_file is None: + raise ValueError( + "The timeseries file for the wind source is not set." + ) + new_path = import_external_file( + self.attrs.wind.timeseries_file, Path(filepath).parent + ) + self.attrs.wind.timeseries_file = str(new_path) + + for river in self.attrs.river: + if river.source == "timeseries": + if river.timeseries_file is None: + raise ValueError( + "The timeseries file for the river source is not set." + ) + new_path = import_external_file( + river.timeseries_file, Path(filepath).parent + ) + river.timeseries_file = str(new_path) + + if self.attrs.tide.source == "timeseries": + if self.attrs.tide.timeseries_file is None: + raise ValueError( + "The timeseries file for the tide source is not set." + ) + new_path = import_external_file( + self.attrs.tide.timeseries_file, Path(filepath).parent + ) + self.attrs.tide.timeseries_file = str(new_path) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/floodwall.py b/flood_adapt/object_model/hazard/measure/floodwall.py index 2b146bc0f..98b62ac73 100644 --- a/flood_adapt/object_model/hazard/measure/floodwall.py +++ b/flood_adapt/object_model/hazard/measure/floodwall.py @@ -12,6 +12,7 @@ FloodWallModel, IFloodWall, ) +from flood_adapt.object_model.utils import import_external_file class FloodWall(HazardMeasure, IFloodWall): @@ -44,8 +45,10 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Floodwall to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for FloodWall objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index 3a4da8d62..aeecf2acd 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -19,6 +19,7 @@ UnitfulArea, UnitfulHeight, ) +from flood_adapt.object_model.utils import import_external_file class GreenInfrastructure(HazardMeasure, IGreenInfrastructure): @@ -51,9 +52,12 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Green Infra to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for GreenInfrastructure objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/pump.py b/flood_adapt/object_model/hazard/measure/pump.py index e8fe2735e..c6b404255 100644 --- a/flood_adapt/object_model/hazard/measure/pump.py +++ b/flood_adapt/object_model/hazard/measure/pump.py @@ -12,6 +12,7 @@ IPump, PumpModel, ) +from flood_adapt.object_model.utils import import_external_file class Pump(HazardMeasure, IPump): @@ -44,8 +45,11 @@ def load_dict( def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Pump to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for Pump objects." - ) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) + with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index 3243ee685..8df670204 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -1,6 +1,5 @@ import os from abc import ABC, abstractmethod -from pathlib import Path from typing import Any, Optional, Union from pydantic import BaseModel, Field @@ -33,10 +32,6 @@ def load_dict( ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Strategy attributes to a toml file.""" - - @abstractmethod - def save_additional_files(self, input_dir: Path): - """Save additional files to the objects input directory.""" + def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + """Save Strategy attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/projection.py b/flood_adapt/object_model/projection.py index 62dbd1cc1..795b75e17 100644 --- a/flood_adapt/object_model/projection.py +++ b/flood_adapt/object_model/projection.py @@ -1,4 +1,5 @@ import os +from pathlib import Path from typing import Any, Union import tomli @@ -9,6 +10,7 @@ ) from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection from flood_adapt.object_model.interface.projections import IProjection, ProjectionModel +from flood_adapt.object_model.utils import import_external_file class Projection(IProjection): @@ -41,12 +43,14 @@ def load_dict(data: dict[str, Any]): def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): """Save Projection to a toml file.""" if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for Projection objects." + if self.attrs.socio_economic_change.new_development_shapefile is None: + raise ValueError("The shapefile for the new development is not set.") + new_path = import_external_file( + self.attrs.socio_economic_change.new_development_shapefile, + Path(filepath).parent, ) - - if not os.path.exists(filepath): - os.makedirs(os.path.dirname(filepath), exist_ok=True) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.socio_economic_change.new_development_shapefile = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index 68fc56271..89b8dcea5 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -63,7 +63,7 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False """Save Scenario to a toml file.""" if additional_files: raise NotImplementedError( - "Additional files are not yet implemented for Scenario objects." + f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." ) with open(filepath, "wb") as f: diff --git a/flood_adapt/object_model/site.py b/flood_adapt/object_model/site.py index e21e59f3d..6454f7739 100644 --- a/flood_adapt/object_model/site.py +++ b/flood_adapt/object_model/site.py @@ -42,7 +42,7 @@ def save( """Write toml file from model object.""" if additional_files: raise NotImplementedError( - "Additional files are not yet implemented for Site objects." + f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." ) with open(filepath, "wb") as f: tomli_w.dump(self._attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index f0511cf8c..c7dfdfc90 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -124,10 +124,12 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False ---------- filepath : Union[str, os.PathLike] path of the toml file to be saved + additional_files : bool, optional + if True, additional files will be saved, by default False """ if additional_files: raise NotImplementedError( - "Additional files are not yet implemented for Strategy objects." + f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index 43fc008e0..e9dcb49c3 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -1,4 +1,5 @@ import os +import shutil from contextlib import contextmanager from pathlib import Path @@ -22,3 +23,37 @@ def write_finished_file(path: Path): def finished_file_exists(path: Path): return (Path(path) / "finished.txt").exists() + + +def import_external_file( + external_file: Path | str | os.PathLike, dst_dir: Path | str | os.PathLike +) -> Path: + """Copy an external file to the destination directory. + + Parameters + ---------- + external_file : Path | str | os.PathLike + Path to the external file to be copied. + dst_dir : Path | str | os.PathLike + Path to the destination directory. + + Returns + ------- + Path + Path to the copied file. + + Raises + ------ + FileNotFoundError + If the external file does not exist. + """ + external_file = Path(external_file).resolve() + dst_dir = Path(dst_dir).resolve() + if not external_file.exists(): + raise FileNotFoundError( + f"Could not import file {external_file} as it does not exist." + ) + dst_dir.mkdir(parents=True, exist_ok=True) + shutil.copy2(external_file, dst_dir / external_file.name) + + return dst_dir / external_file.name diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index cbfb46034..dcefc8da5 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -30,9 +30,6 @@ UnitfulLength, UnitfulVelocity, ) -from flood_adapt.object_model.site import ( - Site, -) def test_get_template(test_db): @@ -155,11 +152,8 @@ def test_download_meteo(test_db): kingTide = HistoricalOffshore.load_file(event_toml) - site_toml = test_db.static_path / "site" / "site.toml" - - site = Site.load_file(site_toml) path = test_db.input_path / "events" / "kingTideNov2021" - gfs_conus = kingTide.download_meteo(site=site, path=path) + gfs_conus = kingTide.download_meteo(site=test_db.site, path=path) assert gfs_conus @@ -182,14 +176,13 @@ def test_download_wl_timeseries(test_db): station_id = 8665530 start_time_str = "20230101 000000" stop_time_str = "20230102 000000" - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) + wl_df = HistoricalNearshore.download_wl_data( station_id, start_time_str, stop_time_str, units="feet", - source=site.attrs.tide_gauge.source, + source=test_db.site.attrs.tide_gauge.source, file=None, ) @@ -203,13 +196,9 @@ def test_make_spw_file(test_db): template = Event.get_template(event_toml) FLORENCE = EventFactory.get_event(template).load_file(event_toml) - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) - FLORENCE.make_spw_file( event_path=event_toml.parent, model_dir=event_toml.parent, - site=site, ) assert event_toml.parent.joinpath("hurricane.spw").is_file() @@ -227,9 +216,6 @@ def test_translate_hurricane_track(test_db): template = Event.get_template(event_toml) FLORENCE = EventFactory.get_event(template).load_file(event_toml) - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) - tc = TropicalCyclone() tc.read_track(filename=event_toml.parent.joinpath("FLORENCE.cyc"), fmt="ddb_cyc") ref = tc.track @@ -242,7 +228,7 @@ def test_translate_hurricane_track(test_db): FLORENCE.attrs.hurricane_translation.northsouth_translation.value = dy FLORENCE.attrs.hurricane_translation.northsouth_translation.units = "meters" - tc = FLORENCE.translate_tc_track(tc=tc, site=site) + tc = FLORENCE.translate_tc_track(tc=tc) new = tc.track # Determine difference in coordinates between the tracks @@ -408,9 +394,7 @@ def test_constant_discharge(test_db): constant_discharge=UnitfulDischarge(value=2000.0, units="cfs"), ) ] - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) - event.add_dis_ts(event_dir=test_toml.parent, site_river=site.attrs.river) + event.add_dis_ts(event_dir=test_toml.parent, site_river=test_db.site.attrs.river) assert isinstance(event.dis_df, pd.DataFrame) assert isinstance(event.dis_df.index, pd.DatetimeIndex) const_dis = event.attrs.river[0].constant_discharge.value @@ -434,9 +418,7 @@ def test_gaussian_discharge(test_db): shape_peak=UnitfulDischarge(value=10000, units="cfs"), ) ] - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) - event.add_dis_ts(event_dir=test_toml.parent, site_river=site.attrs.river) + event.add_dis_ts(event_dir=test_toml.parent, site_river=test_db.site.attrs.river) assert isinstance(event.dis_df, pd.DataFrame) assert isinstance(event.dis_df.index, pd.DatetimeIndex) # event.dis_df.to_csv( @@ -475,9 +457,8 @@ def test_block_discharge(test_db): shape_end_time=-20.0, ) ] - site_toml = test_db.static_path / "site" / "site.toml" - site = Site.load_file(site_toml) - event.add_dis_ts(event_dir=test_toml.parent, site_river=site.attrs.river) + + event.add_dis_ts(event_dir=test_toml.parent, site_river=test_db.site.attrs.river) assert isinstance(event.dis_df, pd.DataFrame) assert isinstance(event.dis_df.index, pd.DatetimeIndex) # event.dis_df.to_csv( diff --git a/tests/test_object_model/test_projections.py b/tests/test_object_model/test_projections.py index 78d144d0b..487c6254f 100644 --- a/tests/test_object_model/test_projections.py +++ b/tests/test_object_model/test_projections.py @@ -61,6 +61,7 @@ def test_projection_save_createsFile(test_db, test_dict): file_path = ( test_db.input_path / "projections" / "new_projection" / "new_projection.toml" ) + file_path.parent.mkdir(parents=True, exist_ok=True) test_projection.save(file_path) assert file_path.is_file() @@ -70,6 +71,7 @@ def test_projection_loadFile_checkAllAttrs(test_db, test_dict): file_path = ( test_db.input_path / "projections" / "new_projection" / "new_projection.toml" ) + file_path.parent.mkdir(parents=True, exist_ok=True) test_projection.save(file_path) test_projection = Projection.load_file(file_path) From 377fea319c7a28e6c0e7440b6ab0cefda5fe2b35 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Mon, 14 Oct 2024 13:50:16 +0200 Subject: [PATCH 03/28] WIP tests additional files. TODO finish event tests --- .../object_model/interface/measures.py | 2 +- tests/conftest.py | 5 + tests/data/cooper.csv | 289 ++++++++++++++++++ tests/data/polygon.geojson | 1 + tests/data/polyline.geojson | 1 + tests/data/rainfall.csv | 289 ++++++++++++++++++ tests/data/river.csv | 289 ++++++++++++++++++ tests/data/shapefiles/pop_growth_new_20.dbf | Bin 0 -> 77 bytes tests/data/shapefiles/pop_growth_new_20.shp | Bin 0 -> 284 bytes tests/data/shapefiles/pop_growth_new_20.shx | Bin 0 -> 108 bytes tests/data/tide.csv | 289 ++++++++++++++++++ tests/test_object_model/test_benefit.py | 16 + tests/test_object_model/test_events.py | 189 ++++++++++++ tests/test_object_model/test_measures.py | 183 ++++++++++- tests/test_object_model/test_projections.py | 62 ++++ .../test_object_model/test_save_additional.py | 106 +++++++ tests/test_object_model/test_scenarios.py | 11 + tests/test_object_model/test_site.py | 15 + tests/test_object_model/test_strategies.py | 20 +- 19 files changed, 1757 insertions(+), 10 deletions(-) create mode 100644 tests/data/cooper.csv create mode 100644 tests/data/polygon.geojson create mode 100644 tests/data/polyline.geojson create mode 100644 tests/data/rainfall.csv create mode 100644 tests/data/river.csv create mode 100644 tests/data/shapefiles/pop_growth_new_20.dbf create mode 100644 tests/data/shapefiles/pop_growth_new_20.shp create mode 100644 tests/data/shapefiles/pop_growth_new_20.shx create mode 100644 tests/data/tide.csv create mode 100644 tests/test_object_model/test_save_additional.py diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 329ee33e5..8a15f5ba7 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -89,7 +89,7 @@ class ImpactMeasureModel(MeasureModel): aggregation_area_type: Optional[str] = None aggregation_area_name: Optional[str] = None polygon_file: Optional[str] = None - property_type: str + property_type: str # TODO make enum # TODO #94 pydantic validators do not currently work diff --git a/tests/conftest.py b/tests/conftest.py index 41199dd6d..ef6af3448 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -161,6 +161,11 @@ def test_some_test(test_db): test_db_session = make_db_fixture("session") +@pytest.fixture +def test_data_dir(): + return Path(__file__).parent / "data" + + @pytest.hookimpl(tryfirst=True) def pytest_runtest_setup(item): test_name = item.name diff --git a/tests/data/cooper.csv b/tests/data/cooper.csv new file mode 100644 index 000000000..f5ae296ad --- /dev/null +++ b/tests/data/cooper.csv @@ -0,0 +1,289 @@ +2020-01-01 00:00:00,0.0 +2020-01-01 00:10:00,0.0 +2020-01-01 00:20:00,0.0 +2020-01-01 00:30:00,0.0 +2020-01-01 00:40:00,0.0 +2020-01-01 00:50:00,0.0 +2020-01-01 01:00:00,0.0 +2020-01-01 01:10:00,0.0 +2020-01-01 01:20:00,0.0 +2020-01-01 01:30:00,0.0 +2020-01-01 01:40:00,0.0 +2020-01-01 01:50:00,0.0 +2020-01-01 02:00:00,0.0 +2020-01-01 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assert output_path.exists() +def test_save_additional_files_raise_NotImplementedError(test_db, tmp_path): + benefit = Benefit.load_dict(_TEST_DICT, test_db.input_path) + output_path = test_db.input_path.joinpath( + "benefits", "test_benefit", "test_benefit.toml" + ) + if not output_path.parent.exists(): + output_path.parent.mkdir() + assert not output_path.exists() + + with pytest.raises(NotImplementedError) as exception_info: + benefit.save(output_path, additional_files=True) + assert "Saving additional files is not implemented for Benefit objects" in str( + exception_info.value + ) + + # Tests for when the scenarios needed for the benefit analysis are not there yet class TestBenefitScenariosNotCreated: # Fixture to create a Benefit object diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index dcefc8da5..7f37bece3 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -1,6 +1,7 @@ import glob import os from datetime import datetime +from pathlib import Path import numpy as np import pandas as pd @@ -9,19 +10,34 @@ from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.hazard.event.event_factory import EventFactory +from flood_adapt.object_model.hazard.event.historical_hurricane import ( + HistoricalHurricane, +) from flood_adapt.object_model.hazard.event.historical_nearshore import ( HistoricalNearshore, ) from flood_adapt.object_model.hazard.event.historical_offshore import HistoricalOffshore +from flood_adapt.object_model.hazard.event.synthetic import Synthetic from flood_adapt.object_model.interface.events import ( + HistoricalHurricaneModel, + HistoricalNearshoreModel, + HistoricalOffshoreModel, Mode, RainfallModel, + RainfallSource, RiverModel, + RiverSource, + SurgeModel, + SurgeSource, + SyntheticModel, Template, TideModel, + TideSource, TimeModel, Timing, + TranslationModel, WindModel, + WindSource, ) from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDirection, @@ -29,6 +45,9 @@ UnitfulIntensity, UnitfulLength, UnitfulVelocity, + UnitTypesDirection, + UnitTypesLength, + UnitTypesVelocity, ) @@ -545,3 +564,173 @@ def test_read_file_multiple_columns(self, tmp_path): assert isinstance(df.index, pd.DatetimeIndex) pd.testing.assert_frame_equal(df, test_df) + + +@pytest.fixture +def test_event_model_no_name_template_timing(test_data_dir): + return { + "description": "test description", + "mode": Mode.single_event, + "water_level_offset": UnitfulLength(value=0.0, units=UnitTypesLength.meters), + "time": TimeModel(), + "tide": TideModel( + source=TideSource.timeseries, + timeseries_file=str(test_data_dir / "tide.csv"), + ), + "surge": SurgeModel(source=SurgeSource.none), + "wind": WindModel( + source=WindSource.constant, + constant_speed=UnitfulVelocity(value=0.0, units=UnitTypesVelocity.meters), + constant_direction=UnitfulDirection( + value=0.0, units=UnitTypesDirection.degrees + ), + ), + "rainfall": RainfallModel( + source=RainfallSource.timeseries, + timeseries_file=str(test_data_dir / "rainfall.csv"), + ), + "river": [ + RiverModel( + source=RiverSource.timeseries, + timeseries_file=str(test_data_dir / "river.csv"), + ) + ], + } + + +@pytest.fixture +def test_synthetic_event(test_event_model_no_name_template_timing): + test_event_model_no_name_template_timing.update( + name="test_synthetic", + template=Template.Synthetic, + timing=Timing.idealized, + time=TimeModel( + duration_before_t0=24, + duration_after_t0=24, + ), + ) + data = SyntheticModel(**test_event_model_no_name_template_timing) + return Synthetic.load_dict(data) + + +@pytest.fixture +def test_nearshore_event(test_event_model_no_name_template_timing): + test_event_model_no_name_template_timing.update( + name="test_historical_nearshore", + template=Template.Historical_nearshore, + timing=Timing.historical, + ) + data = HistoricalNearshoreModel(**test_event_model_no_name_template_timing) + return HistoricalNearshore.load_dict(data) + + +@pytest.fixture +def test_offshore_event(test_event_model_no_name_template_timing): + test_event_model_no_name_template_timing.update( + name="test_historical_offshore", + template=Template.Historical_offshore, + timing=Timing.historical, + ) + data = HistoricalOffshoreModel(**test_event_model_no_name_template_timing) + return HistoricalOffshore.load_dict(data) + + +@pytest.fixture +def test_hurricane_event(test_data_dir, test_event_model_no_name_template_timing): + test_event_model_no_name_template_timing.update( + name="test_historical_hurricane", + template=Template.Hurricane, + timing=Timing.historical, + track_name="BONNIE", + hurricane_translation=TranslationModel(), + tide=TideModel(source=TideSource.model), + surge=SurgeModel(source=SurgeSource.none), + wind=WindModel(source=WindSource.track), # or map? + rainfall=RainfallModel(source=RainfallSource.track), # or map? + river=[ + RiverModel( + source=RiverSource.timeseries, + timeseries_file=str(test_data_dir / "river.csv"), + ) + ], + ) + data = HistoricalHurricaneModel(**test_event_model_no_name_template_timing) + return HistoricalHurricane.load_dict(data) + + +def test_synthetic_save_additional_raises_NotImplementedError( + tmp_path, test_synthetic_event +): + toml_path = tmp_path / "test_synthetic.toml" + with pytest.raises( + NotImplementedError, + match="Additional files are not yet implemented for SyntheticEvent objects.", + ): + test_synthetic_event.save(toml_path, additional_files=True) + + +def validate_event_saves_tide_rainfall_river_csv_files(output_dir, event_obj): + # Arrange + toml_path = output_dir / event_obj.attrs.name / f"{event_obj.attrs.name}.toml" + expected_tide_path = ( + toml_path.parent / Path(event_obj.attrs.tide.timeseries_file).name + ) + expected_rainfall_path = ( + toml_path.parent / Path(event_obj.attrs.rainfall.timeseries_file).name + ) + expected_river_path = ( + toml_path.parent / Path(event_obj.attrs.river[0].timeseries_file).name + ) + toml_path.parent.mkdir(parents=True, exist_ok=True) + + # Act + event_obj.save(toml_path, additional_files=True) + + # Assert + assert toml_path.exists() + assert expected_tide_path.exists() + assert expected_rainfall_path.exists() + + with open(toml_path, "rb") as f: + data = tomli.load(f) + + assert data["tide"]["timeseries_file"] == str(expected_tide_path) + assert data["rainfall"]["timeseries_file"] == str(expected_rainfall_path) + assert data["river"][0]["timeseries_file"] == str(expected_river_path) + + +def test_nearshore_save_additional_saves_all_csv_files(tmp_path, test_nearshore_event): + validate_event_saves_tide_rainfall_river_csv_files( + output_dir=tmp_path, + event_obj=test_nearshore_event, + ) + + +def test_offshore_save_additional_saves_all_csv_files(tmp_path, test_offshore_event): + validate_event_saves_tide_rainfall_river_csv_files( + output_dir=tmp_path, + event_obj=test_offshore_event, + ) + + +def test_hurricane_save_additional_saves_spw_file(tmp_path, test_hurricane_event): + # Arrange + toml_path = ( + tmp_path + / test_hurricane_event.attrs.name + / f"{test_hurricane_event.attrs.name}.toml" + ) + expected_spw_path = toml_path.parent / "hurricane.spw" + toml_path.parent.mkdir(parents=True, exist_ok=True) + + # Act + test_hurricane_event.save(toml_path, additional_files=True) + + # Assert + assert toml_path.exists() + assert expected_spw_path.exists() + + with open(toml_path, "rb") as f: + _ = tomli.load(f) + + assert expected_spw_path.exists() diff --git a/tests/test_object_model/test_measures.py b/tests/test_object_model/test_measures.py index df70ae611..ff60dff87 100644 --- a/tests/test_object_model/test_measures.py +++ b/tests/test_object_model/test_measures.py @@ -1,6 +1,7 @@ from pathlib import Path import geopandas as gpd +import pytest import tomli from flood_adapt.object_model.direct_impact.measure.buyout import Buyout @@ -12,15 +13,24 @@ ) from flood_adapt.object_model.hazard.measure.pump import Pump from flood_adapt.object_model.interface.measures import ( + BuyoutModel, + ElevateModel, + FloodProofModel, + GreenInfrastructureModel, HazardType, ImpactType, + PumpModel, SelectionType, ) from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, + UnitfulHeight, UnitfulLength, UnitfulLengthRefValue, UnitfulVolume, + UnitTypesLength, + UnitTypesVolume, + VerticalReference, ) @@ -39,7 +49,7 @@ def test_floodwall_read(test_db): assert floodwall.attrs.description == "seawall" assert floodwall.attrs.type == "floodwall" assert floodwall.attrs.elevation.value == 12 - assert floodwall.attrs.elevation.units == "feet" + assert floodwall.attrs.elevation.units == UnitTypesLength.feet def test_elevate_aggr_area_read(test_db): @@ -64,7 +74,7 @@ def test_elevate_aggr_area_read(test_db): assert elevate.attrs.description == "raise_property_aggregation_area" assert elevate.attrs.type == "elevate_properties" assert elevate.attrs.elevation.value == 1 - assert elevate.attrs.elevation.units == "feet" + assert elevate.attrs.elevation.units == UnitTypesLength.feet assert elevate.attrs.elevation.type == "floodmap" assert elevate.attrs.selection_type == "aggregation_area" assert elevate.attrs.aggregation_area_type == "aggr_lvl_2" @@ -77,7 +87,7 @@ def test_elevate_aggr_area_read_fail(test_db): "name": "test1", "description": "test1", "type": "elevate_properties", - "elevation": {"value": 1, "units": "feet", "type": "floodmap"}, + "elevation": {"value": 1, "units": UnitTypesLength.feet, "type": "floodmap"}, "selection_type": "aggregation_area", # "aggregation_area_name": "test_area", "property_type": "RES", @@ -137,7 +147,7 @@ def test_elevate_polygon_read(test_db): assert elevate.attrs.description == "raise_property_polygon" assert elevate.attrs.type == "elevate_properties" assert elevate.attrs.elevation.value == 1 - assert elevate.attrs.elevation.units == "feet" + assert elevate.attrs.elevation.units == UnitTypesLength.feet assert elevate.attrs.elevation.type == "floodmap" assert elevate.attrs.selection_type == "polygon" assert elevate.attrs.polygon_file == "raise_property_polygon.geojson" @@ -216,3 +226,168 @@ def test_green_infra_read(test_db): # / "green_infra" # / "green_infra.toml" # ) + + +@pytest.fixture +def test_pump(test_db, test_data_dir): + data = PumpModel( + name="test_pump", + description="test_pump", + type=HazardType.pump, + discharge=UnitfulDischarge(value=100, units="cfs"), + selection_type=SelectionType.polygon, + polygon_file=str(test_data_dir / "polyline.geojson"), + ) + return Pump.load_dict( + data=data, + database_input_path=test_db.input_path, + ) + + +@pytest.fixture +def test_elevate(test_db, test_data_dir): + data = ElevateModel( + name="test_elevate", + description="test_elevate", + type=ImpactType.elevate_properties, + elevation=UnitfulLengthRefValue( + value=1, units=UnitTypesLength.feet, type="floodmap" + ), + selection_type=SelectionType.polygon, + property_type="RES", + polygon_file=str(test_data_dir / "polygon.geojson"), + ) + return Elevate.load_dict( + data=data, + database_input_path=test_db.input_path, + ) + + +@pytest.fixture +def test_buyout(test_db, test_data_dir): + data = BuyoutModel( + name="test_buyout", + description="test_buyout", + type=ImpactType.buyout_properties, + selection_type=SelectionType.polygon, + property_type="RES", + polygon_file=str(test_data_dir / "polygon.geojson"), + ) + + return Buyout.load_dict( + data=data, + database_input_path=test_db.input_path, + ) + + +@pytest.fixture +def test_floodproof(test_db, test_data_dir): + data = FloodProofModel( + name="test_floodproof", + description="test_floodproof", + type=ImpactType.floodproof_properties, + selection_type=SelectionType.polygon, + elevation=UnitfulLengthRefValue( + value=1, units=UnitTypesLength.feet, type=VerticalReference.floodmap + ), + property_type="RES", + polygon_file=str(test_data_dir / "polygon.geojson"), + ) + + return FloodProof.load_dict( + data=data, + database_input_path=test_db.input_path, + ) + + +@pytest.fixture +def test_green_infra(test_db, test_data_dir): + data = GreenInfrastructureModel( + name="test_green_infra", + description="test_green_infra", + type=HazardType.greening, + volume=UnitfulVolume(value=100, units=UnitTypesVolume.cf), + height=UnitfulHeight(value=1, units=UnitTypesLength.feet), + selection_type=SelectionType.polygon, + polygon_file=str(test_data_dir / "polygon.geojson"), + percent_area=10, + ) + + return GreenInfrastructure.load_dict( + data=data, + database_input_path=test_db.input_path, + ) + + +def test_pump_save_additional_files_save_geojson(test_pump, tmp_path): + # Arrange + output_path = tmp_path / "test_pump.toml" + expected_geojson = output_path.parent / Path(test_pump.attrs.polygon_file).name + + # Act + test_pump.save(output_path, additional_files=True) + + # Assert + assert output_path.exists() + assert expected_geojson.exists() + assert test_pump.attrs.polygon_file == str(expected_geojson) + + +def test_elevate_save_additional_files_save_geojson(test_elevate, tmp_path): + # Arrange + output_path = tmp_path / "test_elevate.toml" + expected_geojson = output_path.parent / Path(test_elevate.attrs.polygon_file).name + + # Act + test_elevate.save(output_path, additional_files=True) + + # Assert + assert output_path.exists() + assert expected_geojson.exists() + assert test_elevate.attrs.polygon_file == str(expected_geojson) + + +def test_buyout_save_additional_files_save_geojson(test_buyout, tmp_path): + # Arrange + output_path = tmp_path / "test_buyout.toml" + expected_geojson = output_path.parent / Path(test_buyout.attrs.polygon_file).name + + # Act + test_buyout.save(output_path, additional_files=True) + + # Assert + assert output_path.exists() + assert expected_geojson.exists() + assert test_buyout.attrs.polygon_file == str(expected_geojson) + + +def test_floodproof_save_additional_files_save_geojson(test_floodproof, tmp_path): + # Arrange + output_path = tmp_path / "test_floodproof.toml" + expected_geojson = ( + output_path.parent / Path(test_floodproof.attrs.polygon_file).name + ) + + # Act + test_floodproof.save(output_path, additional_files=True) + + # Assert + assert output_path.exists() + assert expected_geojson.exists() + assert test_floodproof.attrs.polygon_file == str(expected_geojson) + + +def test_green_infra_save_additional_files_save_geojson(test_green_infra, tmp_path): + # Arrange + output_path = tmp_path / "test_greeninfra.toml" + expected_geojson = ( + output_path.parent / Path(test_green_infra.attrs.polygon_file).name + ) + + # Act + test_green_infra.save(output_path, additional_files=True) + + # Assert + assert output_path.exists() + assert expected_geojson.exists() + assert test_green_infra.attrs.polygon_file == str(expected_geojson) diff --git a/tests/test_object_model/test_projections.py b/tests/test_object_model/test_projections.py index 487c6254f..41e772f8d 100644 --- a/tests/test_object_model/test_projections.py +++ b/tests/test_object_model/test_projections.py @@ -1,6 +1,7 @@ from pathlib import Path import pytest +import tomli from flood_adapt.object_model.direct_impact.socio_economic_change import ( SocioEconomicChange, @@ -8,6 +9,11 @@ from flood_adapt.object_model.hazard.physical_projection import ( PhysicalProjection, ) +from flood_adapt.object_model.interface.projections import ( + PhysicalProjectionModel, + ProjectionModel, + SocioEconomicChangeModel, +) from flood_adapt.object_model.projection import Projection @@ -49,6 +55,24 @@ def test_dict(): yield config_values +@pytest.fixture +def dummy_projection(): + attrs = ProjectionModel( + name="test_projection", + description="test description", + physical_projection=PhysicalProjectionModel(), + socio_economic_change=SocioEconomicChangeModel(), + ) + return Projection.load_dict(attrs) + + +@pytest.fixture +def dummy_shapefile(tmp_path, test_data_dir): + shpfile = test_data_dir / "shapefiles" / "pop_growth_new_20.shp" + assert shpfile.exists() + return shpfile + + def test_projection_load_dict(test_dict): projection = Projection.load_dict(test_dict) for key, value in test_dict.items(): @@ -155,3 +179,41 @@ def test_projection_only_slr(test_projections): assert ( test_projection.get_physical_projection().attrs.sea_level_rise.units == "feet" ) + + +def test_save_with_new_development_areas_also_saves_shapefile( + dummy_projection, dummy_shapefile, tmp_path +): + # Arrange + dummy_projection.attrs.socio_economic_change.new_development_shapefile = str( + dummy_shapefile + ) + toml_path = tmp_path / "test_file.toml" + expected_new_path = toml_path.parent / dummy_shapefile.name + + # Act + dummy_projection.save(toml_path, additional_files=True) + + # Assert + assert toml_path.exists() + assert expected_new_path.exists() + + with open(toml_path, "rb") as f: + data = tomli.load(f) + assert data["socio_economic_change"]["new_development_shapefile"] == str( + expected_new_path + ) + + +def test_save_with_new_development_areas_isNone_raises_ValueError( + dummy_projection, tmp_path +): + # Arrange + dummy_projection.attrs.socio_economic_change.new_development_shapefile = None + toml_path = tmp_path / "test_file.toml" + + # Act Assert + with pytest.raises( + ValueError, match="The shapefile for the new development is not set." + ): + dummy_projection.save(toml_path, additional_files=True) diff --git a/tests/test_object_model/test_save_additional.py b/tests/test_object_model/test_save_additional.py new file mode 100644 index 000000000..6e859755c --- /dev/null +++ b/tests/test_object_model/test_save_additional.py @@ -0,0 +1,106 @@ +import pytest +import tomli + +from flood_adapt.object_model.interface.projections import ( + PhysicalProjectionModel, + ProjectionModel, + SocioEconomicChangeModel, +) +from flood_adapt.object_model.projection import Projection + +# to_test = [ +# events: historical hurricane / synthetic / offshore / nearshore +# ] +# def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): +# """Save Projection to a toml file.""" +# if additional_files: +# if self.attrs.socio_economic_change.new_development_shapefile is None: +# raise ValueError("The shapefile for the new development is not set.") +# new_path = import_external_file( +# self.attrs.socio_economic_change.new_development_shapefile, +# Path(filepath).parent, +# ) +# # Update the shapefile path in the object so it is saved in the toml file as well +# self.attrs.socio_economic_change.new_development_shapefile = str(new_path) + +# with open(filepath, "wb") as f: +# tomli_w.dump(self.attrs.dict(exclude_none=True), f) + + +@pytest.fixture +def dummy_projection(): + attrs = ProjectionModel( + name="test_projection", + description="test description", + physical_projection=PhysicalProjectionModel(), + socio_economic_change=SocioEconomicChangeModel(), + ) + return Projection.load_dict(attrs) + + +@pytest.fixture +def dummy_shapefile(tmp_path, test_data_dir): + shpfile = test_data_dir / "shapefiles" / "pop_growth_new_20.shp" + assert shpfile.exists() + return shpfile + + +def test_save_with_additional_files(dummy_projection, dummy_shapefile, tmp_path): + # Arrange + dummy_projection.attrs.socio_economic_change.new_development_shapefile = str( + dummy_shapefile + ) + toml_path = tmp_path / "test_file.toml" + + # Act + dummy_projection.save(toml_path, additional_files=True) + + # Assert + expected_new_path = toml_path.parent / dummy_shapefile.name + assert toml_path.exists() + assert expected_new_path.exists() + + with open(toml_path, "rb") as f: + data = tomli.load(f) + assert data["socio_economic_change"]["new_development_shapefile"] == str( + expected_new_path + ) + + +# def test_save_without_additional_files(object_model, object_model_data, tmp_path): +# # Arrange +# filepath = tmp_path / "test_file.toml" + +# # Act +# object_model.save(filepath, additional_files=False) + +# # Assert +# assert filepath.exists() +# with open(filepath, "rb") as f: +# data = tomli_w.load(f) +# assert "new_development_shapefile" not in data["socio_economic_change"] + +# def test_save_raises_value_error_when_shapefile_not_set(object_model, object_model_data, tmp_path): +# # Arrange +# filepath = tmp_path / "test_file.toml" + +# # Act & Assert +# with pytest.raises(ValueError, match="The shapefile for the new development is not set."): +# object_model.save(filepath, additional_files=True) + + +# def test_save_additional(object_model, object_model_data, ): +# # Arrange +# hazard_measure = HazardMeasureModel( +# name="test_hazard_measure", +# description="test description", +# type=HazardType.floodwall, +# selection_type=SelectionType.polyline, +# ) + +# # Assert +# assert hazard_measure.name == "test_hazard_measure" +# assert hazard_measure.description == "test description" +# assert hazard_measure.type == "floodwall" +# assert hazard_measure.polygon_file is None +# assert hazard_measure.selection_type == "aggregation_area" diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index 657fb94df..a795a97ae 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -61,6 +61,17 @@ def test_initObjectModel_validInput(test_db, test_scenarios): ) +def test_save_additional_files_raises_error(test_db, test_scenarios): + test_scenario = test_scenarios["all_projections_extreme12ft_strategy_comb.toml"] + test_scenario.init_object_model() + + with pytest.raises( + NotImplementedError, + match="Saving additional files is not yet implemented for Scenario objects.", + ): + test_scenario.save(test_db.output_path, additional_files=True) + + def test_hazard_load(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] diff --git a/tests/test_object_model/test_site.py b/tests/test_object_model/test_site.py index c41a0352e..7ad666e40 100644 --- a/tests/test_object_model/test_site.py +++ b/tests/test_object_model/test_site.py @@ -286,3 +286,18 @@ def test_save_addedRiversToModel_savedCorrectly(test_db, test_sites): test_site_multiple_rivers.attrs.river[i].mean_discharge.value == test_site_1_river.attrs.river[i].mean_discharge.value ) + + +def test_save_additional_files_raise_NotImplementedError(test_sites, tmp_path): + test_site = test_sites["site.toml"] + output_path = tmp_path / "test_site.toml" + + if not output_path.parent.exists(): + output_path.parent.mkdir() + assert not output_path.exists() + + with pytest.raises(NotImplementedError) as exception_info: + test_site.save(output_path, additional_files=True) + assert "Saving additional files is not implemented for Site objects" in str( + exception_info.value + ) diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index 8ed286122..34069c795 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -1,4 +1,4 @@ -from pathlib import Path +import pytest from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.measure.buyout import Buyout @@ -13,17 +13,19 @@ from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure from flood_adapt.object_model.strategy import Strategy -test_database = Path().absolute() / "tests" / "test_database" - -def test_strategy_comb_read(test_db): +@pytest.fixture() +def test_strategy(test_db): test_toml = ( test_db.input_path / "strategies" / "strategy_comb" / "strategy_comb.toml" ) assert test_toml.is_file() - strategy = Strategy.load_file(test_toml) + return Strategy.load_file(test_toml) + +def test_strategy_comb_read(test_db, test_strategy): + strategy = test_strategy assert strategy.attrs.name == "strategy_comb" assert strategy.attrs.description == "strategy_comb" assert len(strategy.attrs.measures) == 4 @@ -55,6 +57,14 @@ def test_strategy_no_measures(test_db): assert len(strategy.get_impact_strategy().measures) == 0 +def test_save_additional_files_raises_error(test_strategy, tmp_path): + with pytest.raises( + NotImplementedError, + match="Saving additional files is not yet implemented for Strategy objects.", + ): + test_strategy.save(tmp_path, additional_files=True) + + def test_elevate_comb_correct(test_db): test_toml = ( test_db.input_path From 15b0e8e4537ae6f310eb087dbe0b3b0c0a8d72b0 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Mon, 14 Oct 2024 15:10:53 +0200 Subject: [PATCH 04/28] finish tests for events and measures --- flood_adapt/dbs_controller.py | 11 ++ .../hazard/event/historical_hurricane.py | 19 +++- tests/test_object_model/test_events.py | 14 ++- .../test_object_model/test_save_additional.py | 106 ------------------ 4 files changed, 35 insertions(+), 115 deletions(-) delete mode 100644 tests/test_object_model/test_save_additional.py diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index f36901030..eac5a53b2 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -7,6 +7,7 @@ import geopandas as gpd import numpy as np import pandas as pd +from cht_cyclones.cyclone_track_database import CycloneTrackDatabase from cht_cyclones.tropical_cyclone import TropicalCyclone from geopandas import GeoDataFrame from plotly.express import line @@ -56,6 +57,7 @@ class Database(IDatabase): _site: ISite static_sfincs_model: SfincsAdapter + cyclone_track_database: CycloneTrackDatabase _events: DbsEvent _scenarios: DbsScenario @@ -125,6 +127,15 @@ def __init__( model_root=sfincs_path, site=self._site ) + # Get the cyclone track database + if self._site.attrs.cyclone_track_database: + self.cyclone_track_database = CycloneTrackDatabase( + name="ibtracs", + file_name=self.static_path + / "cyclone_track_database" + / self._site.attrs.cyclone_track_database.file, + ) + # Initialize the different database objects self._static = DbsStatic(self) self._events = DbsEvent(self) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 8649788d7..71e47eec0 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -96,12 +96,17 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False self.attrs.rainfall.source == "track" or self.attrs.rainfall.source == "map" ): + from flood_adapt.dbs_controller import Database + # @gundula is this the correct way to handle this? - # This creates the spw file when saving instead of when running a scenario - # We should then also only reference it in the sfincs adapter and only copy it over when needed - self.make_spw_file( - event_path=Path(filepath).parent, model_dir=Path(filepath).parent + # Should we save .cyc AND/ OR .spw files? + ind = ( + Database() + .cyclone_track_database.list_names() + .index(self.attrs.track_name) ) + track = Database().cyclone_track_database.get_track(ind) + self.write_cyc(Path(filepath).parent, track) # save toml file with open(filepath, "wb") as f: @@ -132,6 +137,12 @@ def make_spw_file(self, event_path: Path, model_dir: Path): # Create spiderweb file from the track tc.to_spiderweb(spw_file) + def write_cyc(self, output_dir: Path, track: TropicalCyclone): + cyc_file = output_dir / f"{self.attrs.track_name}.cyc" + + # cht_cyclone function to write TropicalCyclone as .cyc file + track.write_track(filename=cyc_file, fmt="ddb_cyc") + def translate_tc_track(self, tc: TropicalCyclone): from flood_adapt.dbs_controller import Database diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index 7f37bece3..8e7f12f3c 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -713,14 +713,18 @@ def test_offshore_save_additional_saves_all_csv_files(tmp_path, test_offshore_ev ) -def test_hurricane_save_additional_saves_spw_file(tmp_path, test_hurricane_event): +def test_hurricane_save_additional_saves_cyc_file( + test_db, tmp_path, test_hurricane_event +): # Arrange toml_path = ( tmp_path / test_hurricane_event.attrs.name / f"{test_hurricane_event.attrs.name}.toml" ) - expected_spw_path = toml_path.parent / "hurricane.spw" + expected_cyc_path = ( + toml_path.parent / f"{test_hurricane_event.attrs.track_name}.cyc" + ) toml_path.parent.mkdir(parents=True, exist_ok=True) # Act @@ -728,9 +732,9 @@ def test_hurricane_save_additional_saves_spw_file(tmp_path, test_hurricane_event # Assert assert toml_path.exists() - assert expected_spw_path.exists() + assert expected_cyc_path.exists() with open(toml_path, "rb") as f: - _ = tomli.load(f) + data = tomli.load(f) - assert expected_spw_path.exists() + assert data["track_name"] == str(expected_cyc_path.stem) diff --git a/tests/test_object_model/test_save_additional.py b/tests/test_object_model/test_save_additional.py deleted file mode 100644 index 6e859755c..000000000 --- a/tests/test_object_model/test_save_additional.py +++ /dev/null @@ -1,106 +0,0 @@ -import pytest -import tomli - -from flood_adapt.object_model.interface.projections import ( - PhysicalProjectionModel, - ProjectionModel, - SocioEconomicChangeModel, -) -from flood_adapt.object_model.projection import Projection - -# to_test = [ -# events: historical hurricane / synthetic / offshore / nearshore -# ] -# def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): -# """Save Projection to a toml file.""" -# if additional_files: -# if self.attrs.socio_economic_change.new_development_shapefile is None: -# raise ValueError("The shapefile for the new development is not set.") -# new_path = import_external_file( -# self.attrs.socio_economic_change.new_development_shapefile, -# Path(filepath).parent, -# ) -# # Update the shapefile path in the object so it is saved in the toml file as well -# self.attrs.socio_economic_change.new_development_shapefile = str(new_path) - -# with open(filepath, "wb") as f: -# tomli_w.dump(self.attrs.dict(exclude_none=True), f) - - -@pytest.fixture -def dummy_projection(): - attrs = ProjectionModel( - name="test_projection", - description="test description", - physical_projection=PhysicalProjectionModel(), - socio_economic_change=SocioEconomicChangeModel(), - ) - return Projection.load_dict(attrs) - - -@pytest.fixture -def dummy_shapefile(tmp_path, test_data_dir): - shpfile = test_data_dir / "shapefiles" / "pop_growth_new_20.shp" - assert shpfile.exists() - return shpfile - - -def test_save_with_additional_files(dummy_projection, dummy_shapefile, tmp_path): - # Arrange - dummy_projection.attrs.socio_economic_change.new_development_shapefile = str( - dummy_shapefile - ) - toml_path = tmp_path / "test_file.toml" - - # Act - dummy_projection.save(toml_path, additional_files=True) - - # Assert - expected_new_path = toml_path.parent / dummy_shapefile.name - assert toml_path.exists() - assert expected_new_path.exists() - - with open(toml_path, "rb") as f: - data = tomli.load(f) - assert data["socio_economic_change"]["new_development_shapefile"] == str( - expected_new_path - ) - - -# def test_save_without_additional_files(object_model, object_model_data, tmp_path): -# # Arrange -# filepath = tmp_path / "test_file.toml" - -# # Act -# object_model.save(filepath, additional_files=False) - -# # Assert -# assert filepath.exists() -# with open(filepath, "rb") as f: -# data = tomli_w.load(f) -# assert "new_development_shapefile" not in data["socio_economic_change"] - -# def test_save_raises_value_error_when_shapefile_not_set(object_model, object_model_data, tmp_path): -# # Arrange -# filepath = tmp_path / "test_file.toml" - -# # Act & Assert -# with pytest.raises(ValueError, match="The shapefile for the new development is not set."): -# object_model.save(filepath, additional_files=True) - - -# def test_save_additional(object_model, object_model_data, ): -# # Arrange -# hazard_measure = HazardMeasureModel( -# name="test_hazard_measure", -# description="test description", -# type=HazardType.floodwall, -# selection_type=SelectionType.polyline, -# ) - -# # Assert -# assert hazard_measure.name == "test_hazard_measure" -# assert hazard_measure.description == "test description" -# assert hazard_measure.type == "floodwall" -# assert hazard_measure.polygon_file is None -# assert hazard_measure.selection_type == "aggregation_area" From 613e76ad607fafeca61195b04f78ad17c93fcf65 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 15 Oct 2024 10:01:35 +0200 Subject: [PATCH 05/28] go through PR and fix mistakes --- tests/test_object_model/test_events.py | 1 + tests/test_object_model/test_projections.py | 35 ++++++++++----------- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index 8e7f12f3c..d7c97d63f 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -690,6 +690,7 @@ def validate_event_saves_tide_rainfall_river_csv_files(output_dir, event_obj): assert toml_path.exists() assert expected_tide_path.exists() assert expected_rainfall_path.exists() + assert expected_river_path.exists() with open(toml_path, "rb") as f: data = tomli.load(f) diff --git a/tests/test_object_model/test_projections.py b/tests/test_object_model/test_projections.py index 41e772f8d..c65e112eb 100644 --- a/tests/test_object_model/test_projections.py +++ b/tests/test_object_model/test_projections.py @@ -56,23 +56,20 @@ def test_dict(): @pytest.fixture -def dummy_projection(): +def test_projection(test_data_dir): attrs = ProjectionModel( name="test_projection", description="test description", physical_projection=PhysicalProjectionModel(), - socio_economic_change=SocioEconomicChangeModel(), + socio_economic_change=SocioEconomicChangeModel( + new_development_shapefile=str( + test_data_dir / "shapefiles" / "pop_growth_new_20.shp" + ) + ), ) return Projection.load_dict(attrs) -@pytest.fixture -def dummy_shapefile(tmp_path, test_data_dir): - shpfile = test_data_dir / "shapefiles" / "pop_growth_new_20.shp" - assert shpfile.exists() - return shpfile - - def test_projection_load_dict(test_dict): projection = Projection.load_dict(test_dict) for key, value in test_dict.items(): @@ -182,17 +179,19 @@ def test_projection_only_slr(test_projections): def test_save_with_new_development_areas_also_saves_shapefile( - dummy_projection, dummy_shapefile, tmp_path + test_projection, tmp_path ): # Arrange - dummy_projection.attrs.socio_economic_change.new_development_shapefile = str( - dummy_shapefile - ) toml_path = tmp_path / "test_file.toml" - expected_new_path = toml_path.parent / dummy_shapefile.name + expected_new_path = ( + toml_path.parent + / Path( + test_projection.attrs.socio_economic_change.new_development_shapefile + ).name + ) # Act - dummy_projection.save(toml_path, additional_files=True) + test_projection.save(toml_path, additional_files=True) # Assert assert toml_path.exists() @@ -206,14 +205,14 @@ def test_save_with_new_development_areas_also_saves_shapefile( def test_save_with_new_development_areas_isNone_raises_ValueError( - dummy_projection, tmp_path + test_projection, tmp_path ): # Arrange - dummy_projection.attrs.socio_economic_change.new_development_shapefile = None + test_projection.attrs.socio_economic_change.new_development_shapefile = None toml_path = tmp_path / "test_file.toml" # Act Assert with pytest.raises( ValueError, match="The shapefile for the new development is not set." ): - dummy_projection.save(toml_path, additional_files=True) + test_projection.save(toml_path, additional_files=True) From 50f2408b58df5a32405c51bb8838226563c44630 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 15 Oct 2024 16:23:20 +0200 Subject: [PATCH 06/28] remove dditional_files argument and make default behaviour to always save any attached input files in the database --- flood_adapt/api/events.py | 4 +- flood_adapt/api/measures.py | 4 +- flood_adapt/api/projections.py | 4 +- flood_adapt/dbs_classes/dbs_benefit.py | 6 +- flood_adapt/dbs_classes/dbs_interface.py | 3 - flood_adapt/dbs_classes/dbs_template.py | 7 +- flood_adapt/object_model/benefit.py | 9 +-- .../direct_impact/measure/buyout.py | 13 ++-- .../direct_impact/measure/elevate.py | 13 ++-- .../direct_impact/measure/floodproof.py | 13 ++-- .../hazard/event/historical_hurricane.py | 30 ++++----- .../hazard/event/historical_nearshore.py | 65 +++++++++---------- .../hazard/event/historical_offshore.py | 65 +++++++++---------- .../object_model/hazard/event/synthetic.py | 6 +- .../object_model/hazard/measure/floodwall.py | 13 ++-- .../hazard/measure/green_infrastructure.py | 13 ++-- .../object_model/hazard/measure/pump.py | 13 ++-- .../object_model/interface/benefits.py | 2 +- flood_adapt/object_model/interface/events.py | 2 +- .../object_model/interface/measures.py | 2 +- .../object_model/interface/projections.py | 2 +- .../object_model/interface/scenarios.py | 2 +- flood_adapt/object_model/interface/site.py | 2 +- .../object_model/interface/strategies.py | 2 +- flood_adapt/object_model/projection.py | 8 +-- flood_adapt/object_model/scenario.py | 7 +- flood_adapt/object_model/site.py | 8 +-- flood_adapt/object_model/strategy.py | 8 +-- tests/data/new_areas.geojson | 8 +++ tests/test_object_model/test_benefit.py | 16 ----- tests/test_object_model/test_events.py | 15 +---- tests/test_object_model/test_measures.py | 20 +++--- tests/test_object_model/test_projections.py | 20 +----- tests/test_object_model/test_scenarios.py | 11 ---- tests/test_object_model/test_site.py | 15 ----- tests/test_object_model/test_strategies.py | 8 --- 36 files changed, 156 insertions(+), 283 deletions(-) create mode 100644 tests/data/new_areas.geojson diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index f4c9a1f9c..5becd6659 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -99,8 +99,8 @@ def create_historical_hurricane_event(attrs: dict[str, Any]) -> IHistoricalHurri return EventFactory.get_event("Historical_hurricane").load_dict(attrs) -def save_event(event: IEvent, additional_files: bool = True) -> None: - Database().events.save(event, additional_files=additional_files) +def save_event(event: IEvent) -> None: + Database().events.save(event) def save_event_toml(event: IEvent) -> None: diff --git a/flood_adapt/api/measures.py b/flood_adapt/api/measures.py index d38e71e7a..dcd0ab492 100644 --- a/flood_adapt/api/measures.py +++ b/flood_adapt/api/measures.py @@ -60,8 +60,8 @@ def create_measure(attrs: dict[str, Any], type: str = None) -> IMeasure: return GreenInfrastructure.load_dict(attrs, database_path) -def save_measure(measure: IMeasure, additional_files: bool = True) -> None: - Database().measures.save(measure, additional_files=additional_files) +def save_measure(measure: IMeasure) -> None: + Database().measures.save(measure) def edit_measure(measure: IMeasure) -> None: diff --git a/flood_adapt/api/projections.py b/flood_adapt/api/projections.py index ba962f2f1..c8b05984c 100644 --- a/flood_adapt/api/projections.py +++ b/flood_adapt/api/projections.py @@ -18,8 +18,8 @@ def create_projection(attrs: dict[str, Any]) -> IProjection: return Projection.load_dict(attrs) -def save_projection(projection: IProjection, additional_files: bool = False) -> None: - Database().projections.save(projection, additional_files=additional_files) +def save_projection(projection: IProjection) -> None: + Database().projections.save(projection) def edit_projection(projection: IProjection) -> None: diff --git a/flood_adapt/dbs_classes/dbs_benefit.py b/flood_adapt/dbs_classes/dbs_benefit.py index cbf97c86d..364d644da 100644 --- a/flood_adapt/dbs_classes/dbs_benefit.py +++ b/flood_adapt/dbs_classes/dbs_benefit.py @@ -10,9 +10,7 @@ class DbsBenefit(DbsTemplate): _folder_name = "benefits" _object_model_class = Benefit - def save( - self, benefit: IBenefit, overwrite: bool = False, additional_files: bool = False - ): + def save(self, benefit: IBenefit, overwrite: bool = False): """Save a benefit object in the database. Parameters @@ -34,7 +32,7 @@ def save( ) # Save the benefit - super().save(benefit, overwrite=overwrite, additional_files=additional_files) + super().save(benefit, overwrite=overwrite) def delete(self, name: str, toml_only: bool = False): """Delete an already existing benefit in the database. diff --git a/flood_adapt/dbs_classes/dbs_interface.py b/flood_adapt/dbs_classes/dbs_interface.py index 7bc081073..f9a87cb99 100644 --- a/flood_adapt/dbs_classes/dbs_interface.py +++ b/flood_adapt/dbs_classes/dbs_interface.py @@ -64,7 +64,6 @@ def save( self, object_model: ObjectModel, overwrite: bool = False, - additional_files: bool = False, ): """Save an object in the database. @@ -77,8 +76,6 @@ def save( overwrite : OverwriteMode, optional whether to overwrite the object if it already exists in the database, by default False - additional_files : bool, optional - whether to save additional files, such as geojson files, by default False Raises ------ diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index 613d22b53..c14113abf 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -118,12 +118,10 @@ def save( self, object_model: ObjectModel, overwrite: bool = False, - additional_files: bool = False, ): """Save an object in the database and all associated files. - By default, this only saves the toml file. - Any additional files attached to the object can be saved by setting additional_files to True. + This saves the toml file and any additional files attached to the object. Parameters ---------- @@ -132,8 +130,6 @@ def save( overwrite : bool, optional whether to overwrite the object if it already exists in the database, by default False - additional_files : bool, optional - whether to save additional files attached to the object in the database, by default False Raises ------ @@ -158,7 +154,6 @@ def save( # Save the object object_model.save( self._path / object_model.attrs.name / f"{object_model.attrs.name}.toml", - additional_files=additional_files, ) def edit(self, object_model: ObjectModel): diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index 18fa55098..8405cbfbe 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -597,20 +597,13 @@ def load_dict( obj._init() return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save the Benefit attributes as a toml file. Parameters ---------- filepath : Union[str, os.PathLike] path for saving the toml file - additional_files : bool, optional - Save additional input files in the database instead of referencing them from where the user imported them. """ - if additional_files: - raise NotImplementedError( - f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." - ) - with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/buyout.py b/flood_adapt/object_model/direct_impact/measure/buyout.py index f55113de8..79eef93b6 100644 --- a/flood_adapt/object_model/direct_impact/measure/buyout.py +++ b/flood_adapt/object_model/direct_impact/measure/buyout.py @@ -39,13 +39,12 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Buyout to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/elevate.py b/flood_adapt/object_model/direct_impact/measure/elevate.py index 52b8edb8a..d7d6e5c3f 100644 --- a/flood_adapt/object_model/direct_impact/measure/elevate.py +++ b/flood_adapt/object_model/direct_impact/measure/elevate.py @@ -39,14 +39,13 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Elevate to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/floodproof.py b/flood_adapt/object_model/direct_impact/measure/floodproof.py index abe1e75b4..b6636e5bb 100644 --- a/flood_adapt/object_model/direct_impact/measure/floodproof.py +++ b/flood_adapt/object_model/direct_impact/measure/floodproof.py @@ -39,13 +39,12 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save FloodProof to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 71e47eec0..aac7962fa 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -83,7 +83,7 @@ def load_dict(data: dict[str, Any]): # return object return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save event toml. Parameters @@ -91,22 +91,18 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False file : Path path to the location where file will be saved """ - if additional_files: - if ( - self.attrs.rainfall.source == "track" - or self.attrs.rainfall.source == "map" - ): - from flood_adapt.dbs_controller import Database - - # @gundula is this the correct way to handle this? - # Should we save .cyc AND/ OR .spw files? - ind = ( - Database() - .cyclone_track_database.list_names() - .index(self.attrs.track_name) - ) - track = Database().cyclone_track_database.get_track(ind) - self.write_cyc(Path(filepath).parent, track) + if self.attrs.rainfall.source == "track" or self.attrs.rainfall.source == "map": + from flood_adapt.dbs_controller import Database + + # @gundula is this the correct way to handle this? + # Should we save .cyc AND/ OR .spw files? + ind = ( + Database() + .cyclone_track_database.list_names() + .index(self.attrs.track_name) + ) + track = Database().cyclone_track_database.get_track(ind) + self.write_cyc(Path(filepath).parent, track) # save toml file with open(filepath, "wb") as f: diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 1d6fd44ec..1fbd225ef 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -51,7 +51,7 @@ def load_dict(data: dict[str, Any]): obj.attrs = HistoricalNearshoreModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save event toml. Parameters @@ -59,47 +59,42 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False file : Path path to the location where file will be saved """ - if additional_files: - if self.attrs.rainfall.source == "timeseries": - if self.attrs.rainfall.timeseries_file is None: - raise ValueError( - "The timeseries file for the rainfall source is not set." - ) - new_path = import_external_file( - self.attrs.rainfall.timeseries_file, Path(filepath).parent + if self.attrs.rainfall.source == "timeseries": + if self.attrs.rainfall.timeseries_file is None: + raise ValueError( + "The timeseries file for the rainfall source is not set." ) - self.attrs.rainfall.timeseries_file = str(new_path) + new_path = import_external_file( + self.attrs.rainfall.timeseries_file, Path(filepath).parent + ) + self.attrs.rainfall.timeseries_file = str(new_path) - if self.attrs.wind.source == "timeseries": - if self.attrs.wind.timeseries_file is None: - raise ValueError( - "The timeseries file for the wind source is not set." - ) - new_path = import_external_file( - self.attrs.wind.timeseries_file, Path(filepath).parent - ) - self.attrs.wind.timeseries_file = str(new_path) - - for river in self.attrs.river: - if river.source == "timeseries": - if river.timeseries_file is None: - raise ValueError( - "The timeseries file for the river source is not set." - ) - new_path = import_external_file( - river.timeseries_file, Path(filepath).parent - ) - river.timeseries_file = str(new_path) + if self.attrs.wind.source == "timeseries": + if self.attrs.wind.timeseries_file is None: + raise ValueError("The timeseries file for the wind source is not set.") + new_path = import_external_file( + self.attrs.wind.timeseries_file, Path(filepath).parent + ) + self.attrs.wind.timeseries_file = str(new_path) - if self.attrs.tide.source == "timeseries": - if self.attrs.tide.timeseries_file is None: + for river in self.attrs.river: + if river.source == "timeseries": + if river.timeseries_file is None: raise ValueError( - "The timeseries file for the tide source is not set." + "The timeseries file for the river source is not set." ) new_path = import_external_file( - self.attrs.tide.timeseries_file, Path(filepath).parent + river.timeseries_file, Path(filepath).parent ) - self.attrs.tide.timeseries_file = str(new_path) + river.timeseries_file = str(new_path) + + if self.attrs.tide.source == "timeseries": + if self.attrs.tide.timeseries_file is None: + raise ValueError("The timeseries file for the tide source is not set.") + new_path = import_external_file( + self.attrs.tide.timeseries_file, Path(filepath).parent + ) + self.attrs.tide.timeseries_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index e6c1698ed..0197a9970 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -38,7 +38,7 @@ def load_dict(data: dict[str, Any]): obj.attrs = HistoricalOffshoreModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save event toml. Parameters @@ -46,47 +46,42 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False file : Path path to the location where file will be saved """ - if additional_files: - if self.attrs.rainfall.source == "timeseries": - if self.attrs.rainfall.timeseries_file is None: - raise ValueError( - "The timeseries file for the rainfall source is not set." - ) - new_path = import_external_file( - self.attrs.rainfall.timeseries_file, Path(filepath).parent - ) - self.attrs.rainfall.timeseries_file = str(new_path) - - if self.attrs.wind.source == "timeseries": - if self.attrs.wind.timeseries_file is None: - raise ValueError( - "The timeseries file for the wind source is not set." - ) - new_path = import_external_file( - self.attrs.wind.timeseries_file, Path(filepath).parent + if self.attrs.rainfall.source == "timeseries": + if self.attrs.rainfall.timeseries_file is None: + raise ValueError( + "The timeseries file for the rainfall source is not set." ) - self.attrs.wind.timeseries_file = str(new_path) + new_path = import_external_file( + self.attrs.rainfall.timeseries_file, Path(filepath).parent + ) + self.attrs.rainfall.timeseries_file = str(new_path) - for river in self.attrs.river: - if river.source == "timeseries": - if river.timeseries_file is None: - raise ValueError( - "The timeseries file for the river source is not set." - ) - new_path = import_external_file( - river.timeseries_file, Path(filepath).parent - ) - river.timeseries_file = str(new_path) + if self.attrs.wind.source == "timeseries": + if self.attrs.wind.timeseries_file is None: + raise ValueError("The timeseries file for the wind source is not set.") + new_path = import_external_file( + self.attrs.wind.timeseries_file, Path(filepath).parent + ) + self.attrs.wind.timeseries_file = str(new_path) - if self.attrs.tide.source == "timeseries": - if self.attrs.tide.timeseries_file is None: + for river in self.attrs.river: + if river.source == "timeseries": + if river.timeseries_file is None: raise ValueError( - "The timeseries file for the tide source is not set." + "The timeseries file for the river source is not set." ) new_path = import_external_file( - self.attrs.tide.timeseries_file, Path(filepath).parent + river.timeseries_file, Path(filepath).parent ) - self.attrs.tide.timeseries_file = str(new_path) + river.timeseries_file = str(new_path) + + if self.attrs.tide.source == "timeseries": + if self.attrs.tide.timeseries_file is None: + raise ValueError("The timeseries file for the tide source is not set.") + new_path = import_external_file( + self.attrs.tide.timeseries_file, Path(filepath).parent + ) + self.attrs.tide.timeseries_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/event/synthetic.py b/flood_adapt/object_model/hazard/event/synthetic.py index c596e5dfc..22984153a 100644 --- a/flood_adapt/object_model/hazard/event/synthetic.py +++ b/flood_adapt/object_model/hazard/event/synthetic.py @@ -54,7 +54,7 @@ def load_dict(data: dict[str, Any]): obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save event toml. Parameters @@ -62,10 +62,6 @@ def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False file : Path path to the location where file will be saved """ - if additional_files: - raise NotImplementedError( - "Additional files are not yet implemented for SyntheticEvent objects." - ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/floodwall.py b/flood_adapt/object_model/hazard/measure/floodwall.py index 98b62ac73..68d471e33 100644 --- a/flood_adapt/object_model/hazard/measure/floodwall.py +++ b/flood_adapt/object_model/hazard/measure/floodwall.py @@ -42,13 +42,12 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Floodwall to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index aeecf2acd..ced7a1ad9 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -49,14 +49,13 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Green Infra to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/hazard/measure/pump.py b/flood_adapt/object_model/hazard/measure/pump.py index c6b404255..4ab5fe847 100644 --- a/flood_adapt/object_model/hazard/measure/pump.py +++ b/flood_adapt/object_model/hazard/measure/pump.py @@ -42,14 +42,13 @@ def load_dict( obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Pump to a toml file.""" - if additional_files: - if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent - ) - self.attrs.polygon_file = str(new_path) + if self.attrs.polygon_file: + new_path = import_external_file( + self.attrs.polygon_file, Path(filepath).parent + ) + self.attrs.polygon_file = str(new_path) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/interface/benefits.py b/flood_adapt/object_model/interface/benefits.py index 44dc8e36b..602b1ef0c 100644 --- a/flood_adapt/object_model/interface/benefits.py +++ b/flood_adapt/object_model/interface/benefits.py @@ -47,7 +47,7 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Benefit attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 3fda44f0b..2296ab296 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -222,7 +222,7 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Event attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 8a15f5ba7..6a369a9df 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -225,7 +225,7 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Measure attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 894bddd91..05c78e60e 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -54,6 +54,6 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Projection attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/scenarios.py b/flood_adapt/object_model/interface/scenarios.py index 4a9fe31db..918aebca2 100644 --- a/flood_adapt/object_model/interface/scenarios.py +++ b/flood_adapt/object_model/interface/scenarios.py @@ -32,7 +32,7 @@ def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike] ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Scenario attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index df1bb499f..05c5237e0 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -354,6 +354,6 @@ def load_dict(data: dict[str, Any]): ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save site attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index 8df670204..a054a4014 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -32,6 +32,6 @@ def load_dict( ... @abstractmethod - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Strategy attributes to a toml file, and optionally additional files.""" ... diff --git a/flood_adapt/object_model/projection.py b/flood_adapt/object_model/projection.py index 795b75e17..5ea1463ae 100644 --- a/flood_adapt/object_model/projection.py +++ b/flood_adapt/object_model/projection.py @@ -40,11 +40,9 @@ def load_dict(data: dict[str, Any]): obj.attrs = ProjectionModel.model_validate(data) return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): - """Save Projection to a toml file.""" - if additional_files: - if self.attrs.socio_economic_change.new_development_shapefile is None: - raise ValueError("The shapefile for the new development is not set.") + def save(self, filepath: Union[str, os.PathLike]): + """Save ProjectionModel to a toml file, save any external files and update the paths in the object.""" + if self.attrs.socio_economic_change.new_development_shapefile: new_path = import_external_file( self.attrs.socio_economic_change.new_development_shapefile, Path(filepath).parent, diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index 89b8dcea5..c29fa4f3c 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -59,13 +59,8 @@ def load_dict(data: dict[str, Any], database_input_path: os.PathLike): obj.database_input_path = database_input_path return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Scenario to a toml file.""" - if additional_files: - raise NotImplementedError( - f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." - ) - with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/site.py b/flood_adapt/object_model/site.py index 6454f7739..03c09c0f9 100644 --- a/flood_adapt/object_model/site.py +++ b/flood_adapt/object_model/site.py @@ -36,13 +36,7 @@ def load_dict(data: dict[str, Any]): obj.attrs = SiteModel.model_validate(data) return obj - def save( - self, filepath: Union[str, os.PathLike], additional_files: bool = False - ) -> None: + def save(self, filepath: Union[str, os.PathLike]) -> None: """Write toml file from model object.""" - if additional_files: - raise NotImplementedError( - f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." - ) with open(filepath, "wb") as f: tomli_w.dump(self._attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index c7dfdfc90..124442951 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -117,19 +117,13 @@ def load_dict( return obj - def save(self, filepath: Union[str, os.PathLike], additional_files: bool = False): + def save(self, filepath: Union[str, os.PathLike]): """Save Strategy to a toml file. Parameters ---------- filepath : Union[str, os.PathLike] path of the toml file to be saved - additional_files : bool, optional - if True, additional files will be saved, by default False """ - if additional_files: - raise NotImplementedError( - f"Saving additional files is not yet implemented for {self.__class__.__name__} objects." - ) with open(filepath, "wb") as f: tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/tests/data/new_areas.geojson b/tests/data/new_areas.geojson new file mode 100644 index 000000000..40d867954 --- /dev/null +++ b/tests/data/new_areas.geojson @@ -0,0 +1,8 @@ +{ +"type": "FeatureCollection", +"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } }, +"features": [ +{ "type": "Feature", "properties": { "id": 1, "name": "new_area_1", "FID": 0 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -79.932658540024306, 32.776542492844499 ], [ -79.933197835702856, 32.780587210433609 ], [ -79.927288053892099, 32.780969211539251 ], [ -79.927063347359365, 32.776969435256682 ], [ -79.932658540024306, 32.776542492844499 ] ] ] ] } }, +{ "type": "Feature", "properties": { "id": 2, "name": "new_area_2", "FID": 1 }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -79.940882799122178, 32.778385086412868 ], [ -79.93650102173396, 32.780137797368155 ], [ -79.935961726055424, 32.776160491738857 ], [ -79.939534559925804, 32.775733549326674 ], [ -79.939534559925804, 32.775733549326674 ], [ -79.940882799122178, 32.778385086412868 ] ] ] ] } } +] +} diff --git a/tests/test_object_model/test_benefit.py b/tests/test_object_model/test_benefit.py index 7764f3a92..73ae680bd 100644 --- a/tests/test_object_model/test_benefit.py +++ b/tests/test_object_model/test_benefit.py @@ -89,22 +89,6 @@ def test_save_fromTestDict_saveToml(test_db): assert output_path.exists() -def test_save_additional_files_raise_NotImplementedError(test_db, tmp_path): - benefit = Benefit.load_dict(_TEST_DICT, test_db.input_path) - output_path = test_db.input_path.joinpath( - "benefits", "test_benefit", "test_benefit.toml" - ) - if not output_path.parent.exists(): - output_path.parent.mkdir() - assert not output_path.exists() - - with pytest.raises(NotImplementedError) as exception_info: - benefit.save(output_path, additional_files=True) - assert "Saving additional files is not implemented for Benefit objects" in str( - exception_info.value - ) - - # Tests for when the scenarios needed for the benefit analysis are not there yet class TestBenefitScenariosNotCreated: # Fixture to create a Benefit object diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index d7c97d63f..bf34885b2 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -658,17 +658,6 @@ def test_hurricane_event(test_data_dir, test_event_model_no_name_template_timing return HistoricalHurricane.load_dict(data) -def test_synthetic_save_additional_raises_NotImplementedError( - tmp_path, test_synthetic_event -): - toml_path = tmp_path / "test_synthetic.toml" - with pytest.raises( - NotImplementedError, - match="Additional files are not yet implemented for SyntheticEvent objects.", - ): - test_synthetic_event.save(toml_path, additional_files=True) - - def validate_event_saves_tide_rainfall_river_csv_files(output_dir, event_obj): # Arrange toml_path = output_dir / event_obj.attrs.name / f"{event_obj.attrs.name}.toml" @@ -684,7 +673,7 @@ def validate_event_saves_tide_rainfall_river_csv_files(output_dir, event_obj): toml_path.parent.mkdir(parents=True, exist_ok=True) # Act - event_obj.save(toml_path, additional_files=True) + event_obj.save(toml_path) # Assert assert toml_path.exists() @@ -729,7 +718,7 @@ def test_hurricane_save_additional_saves_cyc_file( toml_path.parent.mkdir(parents=True, exist_ok=True) # Act - test_hurricane_event.save(toml_path, additional_files=True) + test_hurricane_event.save(toml_path) # Assert assert toml_path.exists() diff --git a/tests/test_object_model/test_measures.py b/tests/test_object_model/test_measures.py index ff60dff87..abf67f2ea 100644 --- a/tests/test_object_model/test_measures.py +++ b/tests/test_object_model/test_measures.py @@ -319,13 +319,13 @@ def test_green_infra(test_db, test_data_dir): ) -def test_pump_save_additional_files_save_geojson(test_pump, tmp_path): +def test_pump_save_saves_geojson(test_pump, tmp_path): # Arrange output_path = tmp_path / "test_pump.toml" expected_geojson = output_path.parent / Path(test_pump.attrs.polygon_file).name # Act - test_pump.save(output_path, additional_files=True) + test_pump.save(output_path) # Assert assert output_path.exists() @@ -333,13 +333,13 @@ def test_pump_save_additional_files_save_geojson(test_pump, tmp_path): assert test_pump.attrs.polygon_file == str(expected_geojson) -def test_elevate_save_additional_files_save_geojson(test_elevate, tmp_path): +def test_elevate_save_saves_geojson(test_elevate, tmp_path): # Arrange output_path = tmp_path / "test_elevate.toml" expected_geojson = output_path.parent / Path(test_elevate.attrs.polygon_file).name # Act - test_elevate.save(output_path, additional_files=True) + test_elevate.save(output_path) # Assert assert output_path.exists() @@ -347,13 +347,13 @@ def test_elevate_save_additional_files_save_geojson(test_elevate, tmp_path): assert test_elevate.attrs.polygon_file == str(expected_geojson) -def test_buyout_save_additional_files_save_geojson(test_buyout, tmp_path): +def test_buyout_save_saves_geojson(test_buyout, tmp_path): # Arrange output_path = tmp_path / "test_buyout.toml" expected_geojson = output_path.parent / Path(test_buyout.attrs.polygon_file).name # Act - test_buyout.save(output_path, additional_files=True) + test_buyout.save(output_path) # Assert assert output_path.exists() @@ -361,7 +361,7 @@ def test_buyout_save_additional_files_save_geojson(test_buyout, tmp_path): assert test_buyout.attrs.polygon_file == str(expected_geojson) -def test_floodproof_save_additional_files_save_geojson(test_floodproof, tmp_path): +def test_floodproof_save_saves_geojson(test_floodproof, tmp_path): # Arrange output_path = tmp_path / "test_floodproof.toml" expected_geojson = ( @@ -369,7 +369,7 @@ def test_floodproof_save_additional_files_save_geojson(test_floodproof, tmp_path ) # Act - test_floodproof.save(output_path, additional_files=True) + test_floodproof.save(output_path) # Assert assert output_path.exists() @@ -377,7 +377,7 @@ def test_floodproof_save_additional_files_save_geojson(test_floodproof, tmp_path assert test_floodproof.attrs.polygon_file == str(expected_geojson) -def test_green_infra_save_additional_files_save_geojson(test_green_infra, tmp_path): +def test_green_infra_save_saves_geojson(test_green_infra, tmp_path): # Arrange output_path = tmp_path / "test_greeninfra.toml" expected_geojson = ( @@ -385,7 +385,7 @@ def test_green_infra_save_additional_files_save_geojson(test_green_infra, tmp_pa ) # Act - test_green_infra.save(output_path, additional_files=True) + test_green_infra.save(output_path) # Assert assert output_path.exists() diff --git a/tests/test_object_model/test_projections.py b/tests/test_object_model/test_projections.py index c65e112eb..d42d68db2 100644 --- a/tests/test_object_model/test_projections.py +++ b/tests/test_object_model/test_projections.py @@ -30,7 +30,7 @@ def test_projections(test_db): @pytest.fixture() -def test_dict(): +def test_dict(test_data_dir): config_values = { "name": "new_projection", "description": "new_unsaved_projection", @@ -49,7 +49,7 @@ def test_dict(): "units": "feet", "type": "floodmap", }, - "new_development_shapefile": "new_areas.geojson", + "new_development_shapefile": str(Path(test_data_dir, "new_areas.geojson")), }, } yield config_values @@ -191,7 +191,7 @@ def test_save_with_new_development_areas_also_saves_shapefile( ) # Act - test_projection.save(toml_path, additional_files=True) + test_projection.save(toml_path) # Assert assert toml_path.exists() @@ -202,17 +202,3 @@ def test_save_with_new_development_areas_also_saves_shapefile( assert data["socio_economic_change"]["new_development_shapefile"] == str( expected_new_path ) - - -def test_save_with_new_development_areas_isNone_raises_ValueError( - test_projection, tmp_path -): - # Arrange - test_projection.attrs.socio_economic_change.new_development_shapefile = None - toml_path = tmp_path / "test_file.toml" - - # Act Assert - with pytest.raises( - ValueError, match="The shapefile for the new development is not set." - ): - test_projection.save(toml_path, additional_files=True) diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index a795a97ae..657fb94df 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -61,17 +61,6 @@ def test_initObjectModel_validInput(test_db, test_scenarios): ) -def test_save_additional_files_raises_error(test_db, test_scenarios): - test_scenario = test_scenarios["all_projections_extreme12ft_strategy_comb.toml"] - test_scenario.init_object_model() - - with pytest.raises( - NotImplementedError, - match="Saving additional files is not yet implemented for Scenario objects.", - ): - test_scenario.save(test_db.output_path, additional_files=True) - - def test_hazard_load(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] diff --git a/tests/test_object_model/test_site.py b/tests/test_object_model/test_site.py index 7ad666e40..c41a0352e 100644 --- a/tests/test_object_model/test_site.py +++ b/tests/test_object_model/test_site.py @@ -286,18 +286,3 @@ def test_save_addedRiversToModel_savedCorrectly(test_db, test_sites): test_site_multiple_rivers.attrs.river[i].mean_discharge.value == test_site_1_river.attrs.river[i].mean_discharge.value ) - - -def test_save_additional_files_raise_NotImplementedError(test_sites, tmp_path): - test_site = test_sites["site.toml"] - output_path = tmp_path / "test_site.toml" - - if not output_path.parent.exists(): - output_path.parent.mkdir() - assert not output_path.exists() - - with pytest.raises(NotImplementedError) as exception_info: - test_site.save(output_path, additional_files=True) - assert "Saving additional files is not implemented for Site objects" in str( - exception_info.value - ) diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index 34069c795..9c340f090 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -57,14 +57,6 @@ def test_strategy_no_measures(test_db): assert len(strategy.get_impact_strategy().measures) == 0 -def test_save_additional_files_raises_error(test_strategy, tmp_path): - with pytest.raises( - NotImplementedError, - match="Saving additional files is not yet implemented for Strategy objects.", - ): - test_strategy.save(tmp_path, additional_files=True) - - def test_elevate_comb_correct(test_db): test_toml = ( test_db.input_path From 1a038967c6896e0cc578a6d6c1180c5736676195 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Mon, 21 Oct 2024 21:51:44 +0200 Subject: [PATCH 07/28] Whoops huge commit. 1. Made generic IObject/IObjectModel classes that all FloodAdapt Objects/ObjectModels should inherit from to reduce code duplication. 2. Implemented all save_additional functions + tests. 3. Added esolve_filepath() to resolve loading of external file attritbutes when they are set as a path vs a filename. 4. Cleanup: removed all occurences of storing a database path in an object. 5. Cleanup: moved all init code from functions like init_object_model and _init to the actual __init__ --- flood_adapt/api/events.py | 2 +- flood_adapt/api/measures.py | 19 +- flood_adapt/api/output.py | 20 +- flood_adapt/api/scenarios.py | 2 +- .../database_builder/create_database.py | 3 +- flood_adapt/dbs_classes/dbs_benefit.py | 15 +- flood_adapt/dbs_classes/dbs_event.py | 41 ++-- flood_adapt/dbs_classes/dbs_interface.py | 45 ++-- flood_adapt/dbs_classes/dbs_measure.py | 29 ++- flood_adapt/dbs_classes/dbs_projection.py | 16 +- flood_adapt/dbs_classes/dbs_scenario.py | 40 +--- flood_adapt/dbs_classes/dbs_static.py | 2 +- flood_adapt/dbs_classes/dbs_strategy.py | 12 +- flood_adapt/dbs_classes/dbs_template.py | 131 +++++------- flood_adapt/dbs_classes/path_builder.py | 61 ++++++ flood_adapt/dbs_controller.py | 69 +++---- flood_adapt/integrator/fiat_adapter.py | 2 +- flood_adapt/integrator/sfincs_adapter.py | 18 +- flood_adapt/object_model/benefit.py | 157 +++++++------- .../direct_impact/measure/buyout.py | 54 ++--- .../direct_impact/measure/elevate.py | 53 ++--- .../direct_impact/measure/floodproof.py | 51 ++--- .../direct_impact/measure/impact_measure.py | 24 +-- flood_adapt/object_model/direct_impacts.py | 27 +-- .../object_model/hazard/event/event.py | 18 +- .../hazard/event/event_factory.py | 14 +- .../object_model/hazard/event/eventset.py | 31 +-- .../hazard/event/historical_hurricane.py | 76 +------ .../hazard/event/historical_nearshore.py | 104 ++++------ .../hazard/event/historical_offshore.py | 99 ++++----- .../object_model/hazard/event/synthetic.py | 91 +++++---- flood_adapt/object_model/hazard/hazard.py | 31 +-- .../object_model/hazard/measure/floodwall.py | 51 ++--- .../hazard/measure/green_infrastructure.py | 59 ++---- .../hazard/measure/hazard_measure.py | 9 +- .../object_model/hazard/measure/pump.py | 52 ++--- .../object_model/interface/benefits.py | 39 ++-- .../object_model/interface/database.py | 42 +++- flood_adapt/object_model/interface/events.py | 47 ++--- .../object_model/interface/measures.py | 86 ++++---- .../object_model/interface/object_model.py | 124 +++++++++++ .../object_model/interface/projections.py | 34 +-- .../object_model/interface/scenarios.py | 32 +-- flood_adapt/object_model/interface/site.py | 66 ++---- .../object_model/interface/strategies.py | 38 +--- flood_adapt/object_model/measure.py | 17 +- flood_adapt/object_model/measure_factory.py | 11 +- flood_adapt/object_model/projection.py | 44 ++-- flood_adapt/object_model/scenario.py | 67 ++---- flood_adapt/object_model/site.py | 49 +---- flood_adapt/object_model/strategy.py | 193 +++++++++--------- flood_adapt/object_model/utils.py | 73 +++++-- tests/test_database.py | 2 +- tests/test_integrator/test_fiat_adapter.py | 16 +- tests/test_integrator/test_hazard_run.py | 32 +-- tests/test_integrator/test_sfincs_adapter.py | 2 +- .../interface/test_measures.py | 24 +-- tests/test_object_model/test_benefit.py | 5 +- tests/test_object_model/test_events.py | 6 +- tests/test_object_model/test_measures.py | 17 +- tests/test_object_model/test_projections.py | 35 +++- tests/test_object_model/test_scenarios.py | 16 +- tests/test_object_model/test_site.py | 4 +- tests/test_object_model/test_strategies.py | 17 +- tests/test_utils.py | 58 ++++++ 65 files changed, 1247 insertions(+), 1477 deletions(-) create mode 100644 flood_adapt/dbs_classes/path_builder.py create mode 100644 flood_adapt/object_model/interface/object_model.py create mode 100644 tests/test_utils.py diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index 5becd6659..91308de99 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -31,7 +31,7 @@ def get_event(name: str) -> IEvent: def get_event_mode(name: str) -> str: - filename = Database().events.get_database_path() / f"{name}" / f"{name}.toml" + filename = Database().events.input_path / f"{name}" / f"{name}.toml" return Event.get_mode(filename) diff --git a/flood_adapt/api/measures.py b/flood_adapt/api/measures.py index dcd0ab492..57b46985c 100644 --- a/flood_adapt/api/measures.py +++ b/flood_adapt/api/measures.py @@ -15,7 +15,7 @@ from flood_adapt.object_model.interface.measures import ( IMeasure, ) -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site def get_measures() -> dict[str, Any]: @@ -43,21 +43,18 @@ def create_measure(attrs: dict[str, Any], type: str = None) -> IMeasure: IMeasure Measure object. """ - # If a database is provided, use it to set the input path for the measure. Otherwise, set it to None. - database_path = Database().input_path - if type == "elevate_properties": - return Elevate.load_dict(attrs, database_path) + return Elevate.load_dict(attrs) elif type == "buyout_properties": - return Buyout.load_dict(attrs, database_path) + return Buyout.load_dict(attrs) elif type == "floodproof_properties": - return FloodProof.load_dict(attrs, database_path) + return FloodProof.load_dict(attrs) elif type in ["floodwall", "thin_dam", "levee"]: - return FloodWall.load_dict(attrs, database_path) + return FloodWall.load_dict(attrs) elif type in ["pump", "culvert"]: - return Pump.load_dict(attrs, database_path) + return Pump.load_dict(attrs) elif type in ["water_square", "total_storage", "greening"]: - return GreenInfrastructure.load_dict(attrs, database_path) + return GreenInfrastructure.load_dict(attrs) def save_measure(measure: IMeasure) -> None: @@ -77,7 +74,7 @@ def copy_measure(old_name: str, new_name: str, new_description: str) -> None: # Green infrastructure -def calculate_polygon_area(gdf: gpd.GeoDataFrame, site: ISite) -> float: +def calculate_polygon_area(gdf: gpd.GeoDataFrame, site: Site) -> float: return GreenInfrastructure.calculate_polygon_area(gdf=gdf, site=site) diff --git a/flood_adapt/api/output.py b/flood_adapt/api/output.py index fd2baf93d..9b0950c9c 100644 --- a/flood_adapt/api/output.py +++ b/flood_adapt/api/output.py @@ -66,11 +66,7 @@ def get_obs_point_timeseries(name: str) -> gpd.GeoDataFrame: f"Scenario {name} has not been run. Please run the scenario first." ) - output_path = ( - Database() - .scenarios.get_database_path(get_input_path=False) - .joinpath(hazard.name) - ) + output_path = Database().scenarios.output_path.joinpath(hazard.name) gdf = Database().static.get_obs_points() gdf["html"] = [ str(output_path.joinpath("Flooding", f"{station}_timeseries.html")) @@ -106,9 +102,7 @@ def get_infographic(name: str) -> str: ) config_path = database.static_path.joinpath("templates", "infographics") - output_path = database.scenarios.get_database_path(get_input_path=False).joinpath( - impact.name - ) + output_path = database.scenarios.output_path.joinpath(impact.name) metrics_outputs_path = output_path.joinpath(f"Infometrics_{impact.name}.csv") infographic_path = InforgraphicFactory.create_infographic_file_writer( @@ -142,13 +136,9 @@ def get_infometrics(name: str) -> pd.DataFrame: If the metrics file does not exist. """ # Create the infographic path - metrics_path = ( - Database() - .scenarios.get_database_path(get_input_path=False) - .joinpath( - name, - f"Infometrics_{name}.csv", - ) + metrics_path = Database().scenarios.output_path.joinpath( + name, + f"Infometrics_{name}.csv", ) # Check if the file exists diff --git a/flood_adapt/api/scenarios.py b/flood_adapt/api/scenarios.py index 079a9db11..14b4577ed 100644 --- a/flood_adapt/api/scenarios.py +++ b/flood_adapt/api/scenarios.py @@ -15,7 +15,7 @@ def get_scenario(name: str) -> IScenario: def create_scenario(attrs: dict[str, Any]) -> IScenario: - return Scenario.load_dict(attrs, Database().input_path) + return Scenario.load_dict(attrs) def save_scenario(scenario: IScenario) -> tuple[bool, str]: diff --git a/flood_adapt/database_builder/create_database.py b/flood_adapt/database_builder/create_database.py index 97e68f7af..75a45f2a3 100644 --- a/flood_adapt/database_builder/create_database.py +++ b/flood_adapt/database_builder/create_database.py @@ -25,9 +25,8 @@ from flood_adapt.api.static import read_database from flood_adapt.api.strategies import create_strategy, save_strategy from flood_adapt.log import FloodAdaptLogging -from flood_adapt.object_model.interface.site import Obs_pointModel, SlrModel +from flood_adapt.object_model.interface.site import Obs_pointModel, Site, SlrModel from flood_adapt.object_model.io.unitfulvalue import UnitfulDischarge, UnitfulLength -from flood_adapt.object_model.site import Site config_path = None diff --git a/flood_adapt/dbs_classes/dbs_benefit.py b/flood_adapt/dbs_classes/dbs_benefit.py index 364d644da..e5bf2bdec 100644 --- a/flood_adapt/dbs_classes/dbs_benefit.py +++ b/flood_adapt/dbs_classes/dbs_benefit.py @@ -6,9 +6,7 @@ class DbsBenefit(DbsTemplate): - _type = "benefit" - _folder_name = "benefits" - _object_model_class = Benefit + _object_class = Benefit def save(self, benefit: IBenefit, overwrite: bool = False): """Save a benefit object in the database. @@ -54,10 +52,7 @@ def delete(self, name: str, toml_only: bool = False): super().delete(name, toml_only=toml_only) # Delete output if edited - output_path = ( - self._database.benefits.get_database_path(get_input_path=False) / name - ) - + output_path = self.output_path / name if output_path.exists(): shutil.rmtree(output_path, ignore_errors=True) @@ -78,10 +73,6 @@ def edit(self, benefit: IBenefit): super().edit(benefit) # Delete output if edited - output_path = ( - self._database.benefits.get_database_path(get_input_path=False) - / benefit.attrs.name - ) - + output_path = self.output_path / benefit.attrs.name if output_path.exists(): shutil.rmtree(output_path, ignore_errors=True) diff --git a/flood_adapt/dbs_classes/dbs_event.py b/flood_adapt/dbs_classes/dbs_event.py index 183bc54d8..1c1d71ca1 100644 --- a/flood_adapt/dbs_classes/dbs_event.py +++ b/flood_adapt/dbs_classes/dbs_event.py @@ -6,15 +6,13 @@ from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.hazard.event.event_factory import EventFactory from flood_adapt.object_model.hazard.event.eventset import EventSet -from flood_adapt.object_model.interface.events import IEvent, Mode +from flood_adapt.object_model.interface.events import Mode class DbsEvent(DbsTemplate): - _type = "event" - _folder_name = "events" - _object_model_class = Event + _object_class = Event - def get(self, name: str) -> IEvent: + def get(self, name: str) -> Event: """Return an event object. Parameters @@ -28,11 +26,13 @@ def get(self, name: str) -> IEvent: event object """ # Get event path - event_path = self._path / f"{name}" / f"{name}.toml" + event_path = self.input_path / f"{name}" / f"{name}.toml" # Check if the object exists if not Path(event_path).is_file(): - raise ValueError(f"{self._type.capitalize()} '{name}' does not exist.") + raise ValueError( + f"{self._object_class.class_name} '{name}' does not exist." + ) # Load event mode = Event.get_mode(event_path) @@ -44,7 +44,7 @@ def get(self, name: str) -> IEvent: elif mode == Mode.risk: return EventSet.load_file(event_path) - def list_objects(self) -> dict[str, Any]: + def list_objects(self) -> dict[str, list[Any]]: """Return a dictionary with info on the events that currently exist in the database. Returns @@ -53,7 +53,7 @@ def list_objects(self) -> dict[str, Any]: Includes 'name', 'description', 'path' and 'last_modification_date' info """ events = self._get_object_list() - objects = [self._database.events.get(name) for name in events["name"]] + objects = [self.get(name) for name in events["name"]] events["description"] = [obj.attrs.description for obj in objects] events["objects"] = objects return events @@ -72,7 +72,9 @@ def copy(self, old_name: str, new_name: str, new_description: str): """ # Check if the provided old_name is valid if old_name not in self.list_objects()["name"]: - raise ValueError(f"'{old_name}' {self._type} does not exist.") + raise ValueError( + f"{self._object_class.class_name} '{old_name}' does not exist." + ) # First do a get and change the name and description copy_object = self.get(old_name) @@ -80,14 +82,14 @@ def copy(self, old_name: str, new_name: str, new_description: str): copy_object.attrs.description = new_description # After changing the name and description, receate the model to re-trigger the validators - copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.dict()) + copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.model_dump()) # Then a save. Checking whether the name is already in use is done in the save function self.save(copy_object) # Then save all the accompanied files - src = self._path / old_name - dest = self._path / new_name + src = self.input_path / old_name + dest = self.input_path / new_name EXCLUDE = [".spw", ".toml"] for file in src.glob("*"): @@ -109,10 +111,10 @@ def _check_standard_objects(self, name: str) -> bool: True if the event is a standard event, False otherwise """ # Check if event is a standard event - if self._database.site.attrs.standard_objects.events: - if name in self._database.site.attrs.standard_objects.events: - return True - + if self._database.site.attrs.standard_objects: + if self._database.site.attrs.standard_objects.events: + if name in self._database.site.attrs.standard_objects.events: + return True return False def check_higher_level_usage(self, name: str) -> list[str]: @@ -129,10 +131,7 @@ def check_higher_level_usage(self, name: str) -> list[str]: list of scenarios that use the event """ # Get all the scenarios - scenarios = [ - self._database.scenarios.get(name) - for name in self._database.scenarios.list_objects()["name"] - ] + scenarios = self._database.scenarios.list_objects()["objects"] # Check if event is used in a scenario used_in_scenario = [ diff --git a/flood_adapt/dbs_classes/dbs_interface.py b/flood_adapt/dbs_classes/dbs_interface.py index f9a87cb99..c81e8ef07 100644 --- a/flood_adapt/dbs_classes/dbs_interface.py +++ b/flood_adapt/dbs_classes/dbs_interface.py @@ -1,24 +1,23 @@ from abc import ABC, abstractmethod from pathlib import Path -from typing import Any, Union +from typing import Any, Type -from flood_adapt.object_model.interface.benefits import IBenefit -from flood_adapt.object_model.interface.events import IEvent -from flood_adapt.object_model.interface.measures import IMeasure -from flood_adapt.object_model.interface.projections import IProjection -from flood_adapt.object_model.interface.scenarios import IScenario -from flood_adapt.object_model.interface.strategies import IStrategy - -ObjectModel = Union[IScenario, IEvent, IProjection, IStrategy, IMeasure, IBenefit] +from flood_adapt.object_model.interface.object_model import IObject class AbstractDatabaseElement(ABC): + _object_class: Type[IObject] + + input_path: Path + output_path: Path + + @abstractmethod def __init__(self): """Initialize any necessary attributes.""" pass @abstractmethod - def get(self, name: str) -> ObjectModel: + def get(self, name: str) -> IObject: """Return the object of the type of the database with the given name. Parameters @@ -28,13 +27,13 @@ def get(self, name: str) -> ObjectModel: Returns ------- - ObjectModel + IObject object of the type of the specified object model """ pass @abstractmethod - def list_objects(self) -> dict[str, Any]: + def list_objects(self) -> dict[str, list[Any]]: """Return a dictionary with info on the objects that currently exist in the database. Returns @@ -62,7 +61,7 @@ def copy(self, old_name: str, new_name: str, new_description: str): @abstractmethod def save( self, - object_model: ObjectModel, + object_model: IObject, overwrite: bool = False, ): """Save an object in the database. @@ -85,12 +84,12 @@ def save( pass @abstractmethod - def edit(self, object_model: ObjectModel): + def edit(self, object_model: IObject): """Edits an already existing object in the database. Parameters ---------- - object : ObjectModel + object : IObject object to be edited in the database Raises @@ -134,19 +133,3 @@ def check_higher_level_usage(self, name: str) -> list[str]: list of higher level objects that use the object """ pass - - @abstractmethod - def get_database_path(self, get_input_path: bool) -> Path: - """Return the path to the database. - - Parameters - ---------- - get_input_path : bool - whether to return the input or output path - - Returns - ------- - Path - path to the database - """ - pass diff --git a/flood_adapt/dbs_classes/dbs_measure.py b/flood_adapt/dbs_classes/dbs_measure.py index ee94dbbcb..4ab05f961 100644 --- a/flood_adapt/dbs_classes/dbs_measure.py +++ b/flood_adapt/dbs_classes/dbs_measure.py @@ -1,18 +1,17 @@ +from pathlib import Path from typing import Any import geopandas as gpd from flood_adapt.dbs_classes.dbs_template import DbsTemplate from flood_adapt.object_model.interface.measures import IMeasure -from flood_adapt.object_model.measure import Measure + +# from flood_adapt.object_model.measure import Measure from flood_adapt.object_model.measure_factory import MeasureFactory -from flood_adapt.object_model.strategy import Strategy class DbsMeasure(DbsTemplate): - _type = "measure" - _folder_name = "measures" - _object_model_class = Measure + _object_class = IMeasure def get(self, name: str) -> IMeasure: """Return a measure object. @@ -27,11 +26,11 @@ def get(self, name: str) -> IMeasure: IMeasure measure object """ - measure_path = self._path / name / f"{name}.toml" + measure_path = self.input_path / name / f"{name}.toml" measure = MeasureFactory.get_measure_object(measure_path) return measure - def list_objects(self) -> dict[str, Any]: + def list_objects(self) -> dict[str, list[Any]]: """Return a dictionary with info on the measures that currently exist in the database. Returns @@ -48,12 +47,11 @@ def list_objects(self) -> dict[str, Any]: for path, obj in zip(measures["path"], objects): # If polygon is used read the polygon file if obj.attrs.polygon_file: - file_path = path.parent.joinpath(obj.attrs.polygon_file) - if not file_path.exists(): - raise FileNotFoundError( - f"Polygon file {obj.attrs.polygon_file} for measure {obj.attrs.name} does not exist." - ) - geometries.append(gpd.read_file(file_path)) + if Path(obj.attrs.polygon_file).exists(): + _path = Path(obj.attrs.polygon_file) + else: + _path = self.input_path / obj.attrs.name / obj.attrs.polygon_file + geometries.append(gpd.read_file(_path)) # If aggregation area is used read the polygon from the aggregation area name elif obj.attrs.aggregation_area_name: if ( @@ -94,10 +92,7 @@ def check_higher_level_usage(self, name: str) -> list[str]: list of strategies that use the measure """ # Get all the strategies - strategies = [ - Strategy.load_file(path) - for path in self._database.strategies.list_objects()["path"] - ] + strategies = self._database.strategies.list_objects()["objects"] # Check if measure is used in a strategy used_in_strategy = [ diff --git a/flood_adapt/dbs_classes/dbs_projection.py b/flood_adapt/dbs_classes/dbs_projection.py index ac0c56fb3..e1e8ca3af 100644 --- a/flood_adapt/dbs_classes/dbs_projection.py +++ b/flood_adapt/dbs_classes/dbs_projection.py @@ -3,9 +3,7 @@ class DbsProjection(DbsTemplate): - _type = "projection" - _folder_name = "projections" - _object_model_class = Projection + _object_class = Projection def _check_standard_objects(self, name: str) -> bool: """Check if a projection is a standard projection. @@ -21,9 +19,10 @@ def _check_standard_objects(self, name: str) -> bool: Raise error if projection is a standard projection. """ # Check if projection is a standard projection - if self._database.site.attrs.standard_objects.projections: - if name in self._database.site.attrs.standard_objects.projections: - return True + if self._database.site.attrs.standard_objects: + if self._database.site.attrs.standard_objects.projections: + if name in self._database.site.attrs.standard_objects.projections: + return True return False @@ -41,10 +40,7 @@ def check_higher_level_usage(self, name: str) -> list[str]: list of scenarios that use the projection """ # Get all the scenarios - scenarios = [ - self._database.scenarios.get(name) - for name in self._database.scenarios.list_objects()["name"] - ] + scenarios = self._database.scenarios.list_objects()["objects"] # Check if projection is used in a scenario used_in_scenario = [ diff --git a/flood_adapt/dbs_classes/dbs_scenario.py b/flood_adapt/dbs_classes/dbs_scenario.py index 5cc9e799f..118f610f6 100644 --- a/flood_adapt/dbs_classes/dbs_scenario.py +++ b/flood_adapt/dbs_classes/dbs_scenario.py @@ -2,31 +2,13 @@ from typing import Any from flood_adapt.dbs_classes.dbs_template import DbsTemplate -from flood_adapt.object_model.interface.scenarios import IScenario from flood_adapt.object_model.scenario import Scenario class DbsScenario(DbsTemplate): - _type = "scenario" - _folder_name = "scenarios" - _object_model_class = Scenario + _object_class = Scenario - def get(self, name: str) -> IScenario: - """Return a scenario object. - - Parameters - ---------- - name : str - name of the scenario to be returned - - Returns - ------- - IScenario - scenario object - """ - return super().get(name).init_object_model() - - def list_objects(self) -> dict[str, Any]: + def list_objects(self) -> dict[str, list[Any]]: """Return a dictionary with info on the events that currently exist in the database. Returns @@ -39,9 +21,7 @@ def list_objects(self) -> dict[str, Any]: scenarios["Projection"] = [obj.attrs.projection for obj in objects] scenarios["Event"] = [obj.attrs.event for obj in objects] scenarios["Strategy"] = [obj.attrs.strategy for obj in objects] - scenarios["finished"] = [ - obj.init_object_model().has_run_check() for obj in objects - ] + scenarios["finished"] = [obj.has_run_check() for obj in objects] return scenarios @@ -65,16 +45,15 @@ def delete(self, name: str, toml_only: bool = False): super().delete(name, toml_only) # Then delete the results - results_path = self._database.output_path / self._folder_name / name - if results_path.exists(): - shutil.rmtree(results_path, ignore_errors=False) + if (self.output_path / name).exists(): + shutil.rmtree(self.output_path / name, ignore_errors=False) - def edit(self, scenario: IScenario): + def edit(self, scenario: Scenario): """Edits an already existing scenario in the database. Parameters ---------- - scenario : IScenario + scenario : Scenario scenario to be edited in the database Raises @@ -87,10 +66,7 @@ def edit(self, scenario: IScenario): super().edit(scenario) # Delete output if edited - output_path = ( - self._database.output_path / self._folder_name / scenario.attrs.name - ) - + output_path = self.output_path / scenario.attrs.name if output_path.exists(): shutil.rmtree(output_path, ignore_errors=True) diff --git a/flood_adapt/dbs_classes/dbs_static.py b/flood_adapt/dbs_classes/dbs_static.py index 37e983917..944b1fd73 100644 --- a/flood_adapt/dbs_classes/dbs_static.py +++ b/flood_adapt/dbs_classes/dbs_static.py @@ -31,7 +31,7 @@ def wrapper(self, *args: Tuple[Any], **kwargs: dict[str, Any]) -> Any: class DbsStatic: _cached_data: dict[str, Any] = {} - _database: IDatabase = None + _database: IDatabase def __init__(self, database: IDatabase): """Initialize any necessary attributes.""" diff --git a/flood_adapt/dbs_classes/dbs_strategy.py b/flood_adapt/dbs_classes/dbs_strategy.py index 694fa8f53..ff4df0d3d 100644 --- a/flood_adapt/dbs_classes/dbs_strategy.py +++ b/flood_adapt/dbs_classes/dbs_strategy.py @@ -3,9 +3,7 @@ class DbsStrategy(DbsTemplate): - _type = "strategy" - _folder_name = "strategies" - _object_model_class = Strategy + _object_class = Strategy def _check_standard_objects(self, name: str) -> bool: """Check if a strategy is a standard strategy. @@ -21,10 +19,10 @@ def _check_standard_objects(self, name: str) -> bool: Raise error if strategy is a standard strategy. """ # Check if strategy is a standard strategy - if self._database.site.attrs.standard_objects.strategies: - if name in self._database.site.attrs.standard_objects.strategies: - return True - + if self._database.site.attrs.standard_objects: + if self._database.site.attrs.standard_objects.strategies: + if name in self._database.site.attrs.standard_objects.strategies: + return True return False def check_higher_level_usage(self, name: str) -> list[str]: diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index c14113abf..33469afa3 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -1,34 +1,29 @@ +import os import shutil from datetime import datetime from pathlib import Path -from typing import Union +from typing import Any, Type from flood_adapt.dbs_classes.dbs_interface import AbstractDatabaseElement -from flood_adapt.object_model.interface.benefits import IBenefit +from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path from flood_adapt.object_model.interface.database import IDatabase -from flood_adapt.object_model.interface.events import IEvent -from flood_adapt.object_model.interface.measures import IMeasure -from flood_adapt.object_model.interface.projections import IProjection -from flood_adapt.object_model.interface.scenarios import IScenario -from flood_adapt.object_model.interface.strategies import IStrategy - -ObjectModel = Union[IScenario, IEvent, IProjection, IStrategy, IMeasure, IBenefit] +from flood_adapt.object_model.interface.object_model import IObject class DbsTemplate(AbstractDatabaseElement): - _type = "" - _folder_name = "" - _object_model_class = None - _path = None - _database = None + _object_class: Type[IObject] def __init__(self, database: IDatabase): - """Initialize any necessary attributes.""" - self.input_path = database.input_path - self._path = self.input_path / self._folder_name self._database = database + self.input_path = abs_path( + top_level_dir=TopLevelDir.input, object_dir=self._object_class.dir_name + ) + self.output_path = abs_path( + top_level_dir=TopLevelDir.output, object_dir=self._object_class.dir_name + ) + self.standard_objects = [] - def get(self, name: str) -> ObjectModel: + def get(self, name: str) -> IObject: """Return an object of the type of the database with the given name. Parameters @@ -42,35 +37,36 @@ def get(self, name: str) -> ObjectModel: object of the type of the specified object model """ # Make the full path to the object - full_path = self._path / name / f"{name}.toml" + full_path = self.input_path / name / f"{name}.toml" # Check if the object exists if not Path(full_path).is_file(): - raise ValueError(f"{self._type.capitalize()} '{name}' does not exist.") + raise ValueError( + f"{self._object_class.class_name} '{name}' does not exist." + ) # Load and return the object - object_model = self._object_model_class.load_file(full_path) + object_model = self._object_class.load_file(full_path) return object_model - def list_objects(self): + def list_objects(self) -> dict[str, list[Any]]: """Return a dictionary with info on the objects that currently exist in the database. Returns ------- - dict[str, Any] - Includes 'name', 'description', 'path' and 'last_modification_date' info, as well as the objects themselves + dict[str, list[Any]] + A dictionary that contains the keys: `name`, 'path', 'last_modification_date', 'description', 'objects' + Each key has a list of the corresponding values, where the index of the values corresponds to the same object. """ # Check if all objects exist object_list = self._get_object_list() if not all(Path(path).is_file() for path in object_list["path"]): raise ValueError( - f"Error in {self._type} database. Some {self._type} are missing from the database." + f"Error in {self._object_class.class_name} database. Some {self._object_class.class_name} are missing from the database." ) # Load all objects - objects = [ - self._object_model_class.load_file(path) for path in object_list["path"] - ] + objects = [self._object_class.load_file(path) for path in object_list["path"]] # From the loaded objects, get the name and description and add them to the object_list object_list["name"] = [obj.attrs.name for obj in objects] @@ -92,7 +88,9 @@ def copy(self, old_name: str, new_name: str, new_description: str): """ # Check if the provided old_name is valid if old_name not in self.list_objects()["name"]: - raise ValueError(f"'{old_name}' {self._type} does not exist.") + raise ValueError( + f"'{old_name}' {self._object_class.class_name} does not exist." + ) # First do a get and change the name and description copy_object = self.get(old_name) @@ -100,23 +98,14 @@ def copy(self, old_name: str, new_name: str, new_description: str): copy_object.attrs.description = new_description # After changing the name and description, receate the model to re-trigger the validators - copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.dict()) + copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.model_dump()) - # Then a save. Checking whether the name is already in use is done in the save function + # Then save. Checking whether the name is already in use is done in the save function self.save(copy_object) - # Then save accompanied files excluding the toml file - src = self._path / old_name - dest = self._path / new_name - EXCLUDE = [".toml"] - for file in src.glob("*"): - if file.suffix in EXCLUDE: - continue - shutil.copy(file, dest / file.name) - def save( self, - object_model: ObjectModel, + object_model: IObject, overwrite: bool = False, ): """Save an object in the database and all associated files. @@ -144,19 +133,21 @@ def save( self.delete(object_model.attrs.name, toml_only=True) elif not overwrite and object_exists: raise ValueError( - f"'{object_model.attrs.name}' name is already used by another {self._type}. Choose a different name" + f"'{object_model.attrs.name}' name is already used by another {self._object_class.class_name}. Choose a different name" ) # If the folder doesnt exist yet, make the folder and save the object - if not (self._path / object_model.attrs.name).exists(): - (self._path / object_model.attrs.name).mkdir() + if not (self.input_path / object_model.attrs.name).exists(): + (self.input_path / object_model.attrs.name).mkdir() - # Save the object + # Save the object and any additional files object_model.save( - self._path / object_model.attrs.name / f"{object_model.attrs.name}.toml", + self.input_path + / object_model.attrs.name + / f"{object_model.attrs.name}.toml", ) - def edit(self, object_model: ObjectModel): + def edit(self, object_model: IObject): """Edit an already existing object in the database. Parameters @@ -172,7 +163,7 @@ def edit(self, object_model: ObjectModel): # Check if the object exists if object_model.attrs.name not in self.list_objects()["name"]: raise ValueError( - f"'{object_model.attrs.name}' {self._type} does not exist. You cannot edit an {self._type} that does not exist." + f"'{object_model.attrs.name}' {self._object_class.class_name} does not exist. You cannot edit an {self._object_class.class_name} that does not exist." ) # Check if it is possible to delete the object by saving with overwrite. This then @@ -199,28 +190,28 @@ def delete(self, name: str, toml_only: bool = False): # Check if the object is a standard object. If it is, raise an error if self._check_standard_objects(name): raise ValueError( - f"'{name}' cannot be deleted/modified since it is a standard {self._type}." + f"'{name}' cannot be deleted/modified since it is a standard {self._object_class.class_name}." ) # Check if object is used in a higher level object. If it is, raise an error if used_in := self.check_higher_level_usage(name): raise ValueError( - f"'{name}' {self._type} cannot be deleted/modified since it is already used in: {', '.join(used_in)}" + f"'{name}' {self._object_class.class_name} cannot be deleted/modified since it is already used in: {', '.join(used_in)}" ) # Once all checks are passed, delete the object - path = self._path / name + toml_path = self.input_path / name / f"{name}.toml" if toml_only: # Only delete the toml file - toml_path = path / f"{name}.toml" - if toml_path.exists(): - toml_path.unlink() + toml_path.unlink(missing_ok=True) # If the folder is empty, delete the folder - if not list(path.iterdir()): - path.rmdir() + if not list(toml_path.parent.iterdir()): + toml_path.parent.rmdir() else: # Delete the entire folder - shutil.rmtree(path, ignore_errors=True) + shutil.rmtree(toml_path.parent, ignore_errors=True) + if (self.output_path / name).exists(): + shutil.rmtree(self.output_path / name, ignore_errors=True) def _check_standard_objects(self, name: str) -> bool: """Check if an object is a standard object. @@ -256,34 +247,16 @@ def check_higher_level_usage(self, name: str) -> list[str]: # level object. By default, return an empty list return [] - def get_database_path(self, get_input_path: bool = True) -> Path: - """Return the path to the database. - - Parameters - ---------- - get_input_path : bool - whether to return the input path or the output path - - Returns - ------- - Path - path to the database - """ - if get_input_path: - return Path(self._path) - else: - return Path(self._database.output_path / self._folder_name) - - def _get_object_list(self) -> dict[Path, datetime]: + def _get_object_list(self) -> dict[str, list[Any]]: """Get a dictionary with all the toml paths and last modification dates that exist in the database of the given object_type. Returns ------- dict[str, Any] - Includes 'path' and 'last_modification_date' info + A dictionary that contains the keys: `name` to 'path' and 'last_modification_date' + Each key has a list of the corresponding values, where the index of the values corresponds to the same object. """ - base_path = self.input_path / self._folder_name - directories = list(base_path.iterdir()) + directories = [self.input_path / d for d in os.listdir(self.input_path)] paths = [Path(dir / f"{dir.name}.toml") for dir in directories] names = [dir.name for dir in directories] last_modification_date = [ diff --git a/flood_adapt/dbs_classes/path_builder.py b/flood_adapt/dbs_classes/path_builder.py new file mode 100644 index 000000000..1ef7ab3eb --- /dev/null +++ b/flood_adapt/dbs_classes/path_builder.py @@ -0,0 +1,61 @@ +from enum import Enum +from pathlib import Path +from typing import Optional + +from flood_adapt.config import Settings + + +class TopLevelDir(str, Enum): + input = "input" + output = "output" + static = "static" + temp = "temp" + + +class ObjectDir(str, Enum): + site = "site" + + benefit = "benefits" + event = "events" + strategy = "strategies" + measure = "measures" + projection = "projections" + scenario = "scenarios" + + buyout = "measures" + elevate = "measures" + floodproof = "measures" + greening = "measures" + floodwall = "measures" + pump = "measures" + + +def abs_path( + top_level_dir: TopLevelDir = TopLevelDir.input, + object_dir: Optional[ObjectDir] = None, + obj_name: Optional[str] = None, +) -> Path: + """Return an absolute path to a directory from arguments.""" + return Settings().database_path / rel_path( + top_level_dir=top_level_dir, object_dir=object_dir, obj_name=obj_name + ) + + +def rel_path( + top_level_dir: TopLevelDir = TopLevelDir.input, + object_dir: Optional[ObjectDir] = None, + obj_name: Optional[str] = None, +) -> Path: + """Return a relative path to a directory from arguments.""" + _path = Path(top_level_dir.value) + + if object_dir is not None: + if isinstance(object_dir, ObjectDir): + _path = _path / object_dir.value + else: + _path = _path / str(object_dir) + + if obj_name is not None: + _path = _path / obj_name + + return _path diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index 7dc9bf4c1..f408dad37 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -24,16 +24,16 @@ from flood_adapt.dbs_classes.dbs_scenario import DbsScenario from flood_adapt.dbs_classes.dbs_static import DbsStatic from flood_adapt.dbs_classes.dbs_strategy import DbsStrategy +from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event_factory import EventFactory from flood_adapt.object_model.interface.benefits import IBenefit from flood_adapt.object_model.interface.database import IDatabase from flood_adapt.object_model.interface.events import IEvent -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength from flood_adapt.object_model.scenario import Scenario -from flood_adapt.object_model.site import Site from flood_adapt.object_model.utils import finished_file_exists @@ -54,7 +54,7 @@ class Database(IDatabase): static_path: Path output_path: Path - _site: ISite + _site: Site static_sfincs_model: SfincsAdapter cyclone_track_database: CycloneTrackDatabase @@ -112,16 +112,19 @@ def __init__( self.database_name = database_name # Set the paths + self.base_path = Path(database_path) / database_name - self.input_path = self.base_path / "input" - self.static_path = self.base_path / "static" - self.output_path = self.base_path / "output" + self.input_path = abs_path(TopLevelDir.input) + self.static_path = abs_path(TopLevelDir.static) + self.output_path = abs_path(TopLevelDir.output) self._site = Site.load_file(self.static_path / "site" / "site.toml") # Get the static sfincs model - sfincs_path = self.static_path.joinpath( - "templates", self._site.attrs.sfincs.overland_model + sfincs_path = str( + abs_path(TopLevelDir.static) + / "templates" + / self._site.attrs.sfincs.overland_model ) self.static_sfincs_model = SfincsAdapter( model_root=sfincs_path, site=self._site @@ -175,7 +178,7 @@ def shutdown(self): # Property methods @property - def site(self) -> ISite: + def site(self) -> Site: return self._site @property @@ -526,7 +529,7 @@ def plot_river( ) return "" - event_dir = self.events.get_database_path().joinpath(event.attrs.name) + event_dir = self.events.input_path.joinpath(event.attrs.name) event.add_dis_ts(event_dir, self.site.attrs.river, input_river_df) river_descriptions = [i.description for i in self.site.attrs.river] river_names = [i.description for i in self.site.attrs.river] @@ -683,15 +686,13 @@ def plot_wind( def write_to_csv(self, name: str, event: IEvent, df: pd.DataFrame): df.to_csv( - self.events.get_database_path().joinpath(event.attrs.name, f"{name}.csv"), + self.events.input_path.joinpath(event.attrs.name, f"{name}.csv"), header=False, ) def write_cyc(self, event: IEvent, track: TropicalCyclone): cyc_file = ( - self.events.get_database_path() - / event.attrs.name - / f"{event.attrs.track_name}.cyc" + self.events.input_path / event.attrs.name / f"{event.attrs.track_name}.cyc" ) # cht_cyclone function to write TropicalCyclone as .cyc file track.write_track(filename=cyc_file, fmt="ddb_cyc") @@ -727,7 +728,7 @@ def create_benefit_scenarios(self, benefit: IBenefit) -> None: [row["projection"], row["event"], row["strategy"]] ) - scenario_obj = Scenario.load_dict(scenario_dict, self.input_path) + scenario_obj = Scenario.load_dict(scenario_dict) # Check if scenario already exists (because it was created before in the loop) try: self.scenarios.save(scenario_obj) @@ -835,7 +836,7 @@ def get_max_water_level( """ # If single event read with hydromt-sfincs if not return_period: - map_path = self.scenarios.get_database_path(get_input_path=False).joinpath( + map_path = self.scenarios.output_path.joinpath( scenario_name, "Flooding", "max_water_level_map.nc", @@ -845,7 +846,7 @@ def get_max_water_level( zsmax = map.to_numpy() else: - file_path = self.scenarios.get_database_path(get_input_path=False).joinpath( + file_path = self.scenarios.output_path.joinpath( scenario_name, "Flooding", f"RP_{return_period:04d}_maps.nc", @@ -866,9 +867,7 @@ def get_fiat_footprints(self, scenario_name: str) -> GeoDataFrame: GeoDataFrame impacts at footprint level """ - out_path = self.scenarios.get_database_path(get_input_path=False).joinpath( - scenario_name, "Impacts" - ) + out_path = self.scenarios.output_path.joinpath(scenario_name, "Impacts") footprints = out_path / f"Impacts_building_footprints_{scenario_name}.gpkg" gdf = gpd.read_file(footprints, engine="pyogrio") gdf = gdf.to_crs(4326) @@ -887,9 +886,7 @@ def get_roads(self, scenario_name: str) -> GeoDataFrame: GeoDataFrame Impacts at roads """ - out_path = self.scenarios.get_database_path(get_input_path=False).joinpath( - scenario_name, "Impacts" - ) + out_path = self.scenarios.output_path.joinpath(scenario_name, "Impacts") roads = out_path / f"Impacts_roads_{scenario_name}.gpkg" gdf = gpd.read_file(roads, engine="pyogrio") gdf = gdf.to_crs(4326) @@ -908,9 +905,7 @@ def get_aggregation(self, scenario_name: str) -> dict[GeoDataFrame]: dict[GeoDataFrame] dictionary with aggregated damages per aggregation type """ - out_path = self.scenarios.get_database_path(get_input_path=False).joinpath( - scenario_name, "Impacts" - ) + out_path = self.scenarios.output_path.joinpath(scenario_name, "Impacts") gdfs = {} for aggr_area in out_path.glob(f"Impacts_aggregated_{scenario_name}_*.gpkg"): label = aggr_area.stem.split(f"{scenario_name}_")[-1] @@ -931,7 +926,7 @@ def get_aggregation_benefits(self, benefit_name: str) -> dict[GeoDataFrame]: dict[GeoDataFrame] dictionary with aggregated benefits per aggregation type """ - out_path = self.benefits.get_database_path(get_input_path=False).joinpath( + out_path = self.benefits.output_path.joinpath( benefit_name, ) gdfs = {} @@ -993,12 +988,10 @@ def has_run_hazard(self, scenario_name: str) -> None: for scn in scns_simulated: if scn.direct_impacts.hazard == scenario.direct_impacts.hazard: - path_0 = self.scenarios.get_database_path( - get_input_path=False - ).joinpath(scn.attrs.name, "Flooding") - path_new = self.scenarios.get_database_path( - get_input_path=False - ).joinpath(scenario.attrs.name, "Flooding") + path_0 = self.scenarios.output_path.joinpath(scn.attrs.name, "Flooding") + path_new = self.scenarios.output_path.joinpath( + scenario.attrs.name, "Flooding" + ) if scn.direct_impacts.hazard.has_run_check(): # only copy results if the hazard model has actually finished and skip simulation folders shutil.copytree( path_0, @@ -1055,16 +1048,16 @@ def cleanup(self) -> None: if not Settings().delete_crashed_runs: return - scn_input_path = self.scenarios.get_database_path() - scn_output_path = self.scenarios.get_database_path(get_input_path=False) - if not scn_output_path.is_dir(): + if not self.scenarios.output_path.is_dir(): return input_scenarios = [ - (scn_input_path / dir).resolve() for dir in os.listdir(scn_input_path) + (self.scenarios.input_path / dir).resolve() + for dir in os.listdir(self.scenarios.input_path) ] output_scenarios = [ - (scn_output_path / dir).resolve() for dir in os.listdir(scn_output_path) + (self.scenarios.output_path / dir).resolve() + for dir in os.listdir(self.scenarios.output_path) ] for dir in output_scenarios: diff --git a/flood_adapt/integrator/fiat_adapter.py b/flood_adapt/integrator/fiat_adapter.py index 11d50506c..bf4a540f7 100644 --- a/flood_adapt/integrator/fiat_adapter.py +++ b/flood_adapt/integrator/fiat_adapter.py @@ -11,8 +11,8 @@ from flood_adapt.object_model.direct_impact.measure.floodproof import FloodProof from flood_adapt.object_model.hazard.hazard import Hazard from flood_adapt.object_model.interface.events import Mode +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength -from flood_adapt.object_model.site import Site class FiatAdapter: diff --git a/flood_adapt/integrator/sfincs_adapter.py b/flood_adapt/integrator/sfincs_adapter.py index 18035c635..48ada870a 100644 --- a/flood_adapt/integrator/sfincs_adapter.py +++ b/flood_adapt/integrator/sfincs_adapter.py @@ -14,24 +14,25 @@ from hydromt_sfincs import SfincsModel from hydromt_sfincs.quadtree import QuadtreeGrid +from flood_adapt.config import Settings from flood_adapt.log import FloodAdaptLogging -from flood_adapt.object_model.hazard.event.event import EventModel from flood_adapt.object_model.hazard.event.historical_hurricane import ( HistoricalHurricane, ) -from flood_adapt.object_model.hazard.measure.floodwall import FloodWallModel -from flood_adapt.object_model.hazard.measure.green_infrastructure import ( +from flood_adapt.object_model.interface.events import EventModel +from flood_adapt.object_model.interface.measures import ( + FloodWallModel, GreenInfrastructureModel, + PumpModel, ) -from flood_adapt.object_model.hazard.measure.pump import PumpModel from flood_adapt.object_model.interface.projections import PhysicalProjectionModel +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import ( UnitfulLength, UnitTypesDischarge, UnitTypesLength, UnitTypesVolume, ) -from flood_adapt.object_model.site import Site class SfincsAdapter: @@ -278,7 +279,7 @@ def add_floodwall(self, floodwall: FloodWallModel, measure_path=Path): floodwall information """ # HydroMT function: get geodataframe from filename - polygon_file = measure_path.joinpath(floodwall.polygon_file) + polygon_file = Settings().database_path / floodwall.polygon_file gdf_floodwall = self.sf_model.data_catalog.get_geodataframe( polygon_file, geom=self.sf_model.region, crs=self.sf_model.crs ) @@ -329,7 +330,7 @@ def add_green_infrastructure( """ # HydroMT function: get geodataframe from filename if green_infrastructure.selection_type == "polygon": - polygon_file = measure_path.joinpath(green_infrastructure.polygon_file) + polygon_file = Settings().database_path / green_infrastructure.polygon_file elif green_infrastructure.selection_type == "aggregation_area": # TODO this logic already exists in the database controller but cannot be used due to cyclic imports # Loop through available aggregation area types @@ -380,7 +381,8 @@ def add_pump(self, pump: PumpModel, measure_path: Path): pump information """ # HydroMT function: get geodataframe from filename - polygon_file = measure_path.joinpath(pump.polygon_file) + polygon_file = Settings().database_path / pump.polygon_file + gdf_pump = self.sf_model.data_catalog.get_geodataframe( polygon_file, geom=self.sf_model.region, crs=self.sf_model.crs ) diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index 8405cbfbe..501504ee8 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -1,7 +1,6 @@ -import os import shutil from pathlib import Path -from typing import Any, Union +from typing import Any import geopandas as gpd import numpy as np @@ -12,34 +11,36 @@ import tomli_w from fiat_toolbox.metrics_writer.fiat_read_metrics_file import MetricsFileReader +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path from flood_adapt.object_model.interface.benefits import BenefitModel, IBenefit +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.scenario import Scenario -from flood_adapt.object_model.site import Site class Benefit(IBenefit): """Object holding all attributes and methods related to a benefit analysis.""" attrs: BenefitModel - database_input_path: Union[str, os.PathLike] - results_path: Union[str, os.PathLike] + results_path: Path scenarios: pd.DataFrame - def _init(self): + def __init__(self, data: dict[str, Any]): """Initialize function called when object is created through the load_file or load_dict methods.""" + if isinstance(data, BenefitModel): + self.attrs = data + else: + self.attrs = BenefitModel.model_validate(data) + # Get output path based on database path - self.results_path = Path(self.database_input_path).parent.joinpath( - "output", "Benefits", self.attrs.name - ) + self.results_path = abs_path(TopLevelDir.output, self.dir_name, self.attrs.name) self.check_scenarios() if self.has_run: self.get_output() # Get site config - self.site_toml_path = ( - Path(self.database_input_path).parent / "static" / "site" / "site.toml" + self.site_info = Site.load_file( + abs_path(TopLevelDir.static, ObjectDir.site, "site.toml") ) - self.site_info = Site.load_file(self.site_toml_path) # Get monetary units self.unit = self.site_info.attrs.fiat.damage_unit @@ -124,7 +125,7 @@ def check_scenarios(self) -> pd.DataFrame: # but the way it is set-up now there will be issues with cyclic imports scenarios_avail = [] for scenario_path in list( - self.database_input_path.joinpath("scenarios").glob("*") + abs_path(TopLevelDir.input, ObjectDir.scenario).glob("*") ): scenarios_avail.append( Scenario.load_file(scenario_path.joinpath(f"{scenario_path.name}.toml")) @@ -134,15 +135,15 @@ def check_scenarios(self) -> pd.DataFrame: for scenario in scenarios_calc.keys(): scn_dict = scenarios_calc[scenario].copy() scn_dict["name"] = scenario - scenario_obj = Scenario.load_dict(scn_dict, self.database_input_path) + scenario_obj = Scenario.load_dict(scn_dict) created = [ scn_avl for scn_avl in scenarios_avail if scenario_obj == scn_avl ] if len(created) > 0: scenarios_calc[scenario]["scenario created"] = created[0].attrs.name - scenarios_calc[scenario]["scenario run"] = ( - created[0].init_object_model().direct_impacts.has_run - ) + scenarios_calc[scenario]["scenario run"] = created[ + 0 + ].direct_impacts.has_run else: scenarios_calc[scenario]["scenario created"] = "No" scenarios_calc[scenario]["scenario run"] = False @@ -205,7 +206,7 @@ def cba(self): scenarios = self.scenarios.copy(deep=True) scenarios["EAD"] = None - results_path = self.database_input_path.parent.joinpath("output", "scenarios") + results_path = abs_path(TopLevelDir.output, ObjectDir.scenario) # Get metrics per scenario for index, scenario in scenarios.iterrows(): @@ -283,7 +284,7 @@ def cba(self): def cba_aggregation(self): """Zonal Benefits analysis for the different aggregation areas.""" - results_path = self.database_input_path.parent.joinpath("output", "scenarios") + results_path = abs_path(TopLevelDir.output, ObjectDir.scenario) # Get years of interest year_start = self.attrs.current_situation.year year_end = self.attrs.future_year @@ -375,10 +376,10 @@ def cba_aggregation(self): for i, n in enumerate(self.site_info.attrs.fiat.aggregation) if n.name == aggr_name ][0] - aggr_areas_path = self.database_input_path.parent.joinpath( - "static", self.site_info.attrs.fiat.aggregation[ind].file + aggr_areas_path = ( + abs_path(TopLevelDir.static) + / self.site_info.attrs.fiat.aggregation[ind].file ) - aggr_areas = gpd.read_file(aggr_areas_path, engine="pyogrio") # Define output path outpath = self.results_path.joinpath(f"benefits_{aggr_name}.gpkg") @@ -550,60 +551,58 @@ def _make_html(self, cba): html = self.results_path.joinpath("benefits.html") fig.write_html(html) - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IBenefit: - """Create a Benefit object from a toml file. - - Parameters - ---------- - filepath : Union[str, os.PathLike] - path to a toml file holding the attributes of a Benefit object - - Returns - ------- - IBenefit - a Benefit object - """ - obj = Benefit() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = BenefitModel.model_validate(toml) - # if benefits is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - obj._init() - return obj - - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike] - ) -> IBenefit: - """Create a Benefit object from a dictionary, e.g. when initialized from GUI. - - Parameters - ---------- - data : dict[str, Any] - a dictionary with the Benefit attributes - database_input_path : Union[str, os.PathLike] - the path where the FloodAdapt database is located - - Returns - ------- - IBenefit - a Benefit object - """ - obj = Benefit() - obj.attrs = BenefitModel.model_validate(data) - obj.database_input_path = Path(database_input_path) - obj._init() - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save the Benefit attributes as a toml file. - - Parameters - ---------- - filepath : Union[str, os.PathLike] - path for saving the toml file - """ - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + # @staticmethod + # def load_file(filepath: Union[str, os.PathLike]) -> IBenefit: + # """Create a Benefit object from a toml file. + + # Parameters + # ---------- + # filepath : Union[str, os.PathLike] + # path to a toml file holding the attributes of a Benefit object + + # Returns + # ------- + # IBenefit + # a Benefit object + # """ + # obj = Benefit() + # with open(filepath, mode="rb") as fp: + # toml = tomli.load(fp) + # obj.attrs = BenefitModel.model_validate(toml) + # # if benefits is created by path use that to get to the database path + # obj._init() + # return obj + + # @staticmethod + # def load_dict( + # data: dict[str, Any], database_input_path: Union[str, os.PathLike] + # ) -> IBenefit: + # """Create a Benefit object from a dictionary, e.g. when initialized from GUI. + + # Parameters + # ---------- + # data : dict[str, Any] + # a dictionary with the Benefit attributes + # database_input_path : Union[str, os.PathLike] + # the path where the FloodAdapt database is located + + # Returns + # ------- + # IBenefit + # a Benefit object + # """ + # obj = Benefit() + # obj.attrs = BenefitModel.model_validate(data) + # obj._init() + # return obj + + # def save(self, filepath: Union[str, os.PathLike]): + # """Save the Benefit attributes as a toml file. + + # Parameters + # ---------- + # filepath : Union[str, os.PathLike] + # path for saving the toml file + # """ + # with open(filepath, "wb") as f: + # tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/buyout.py b/flood_adapt/object_model/direct_impact/measure/buyout.py index 79eef93b6..886c320a4 100644 --- a/flood_adapt/object_model/direct_impact/measure/buyout.py +++ b/flood_adapt/object_model/direct_impact/measure/buyout.py @@ -1,50 +1,26 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any -import tomli -import tomli_w - -from flood_adapt.object_model.direct_impact.measure.impact_measure import ( - ImpactMeasure, -) from flood_adapt.object_model.interface.measures import BuyoutModel, IBuyout -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Buyout(ImpactMeasure, IBuyout): +class Buyout(IBuyout): """Subclass of ImpactMeasure describing the measure of buying-out buildings.""" - attrs: BuyoutModel - database_input_path: Union[str, os.PathLike, None] - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IBuyout: - """Create Buyout from toml file.""" - obj = Buyout() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = BuyoutModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IBuyout: - """Create Buyout from object, e.g. when initialized from GUI.""" - obj = Buyout() - obj.attrs = BuyoutModel.model_validate(data) - obj.database_input_path = database_input_path - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, BuyoutModel): + self.attrs = data + else: + self.attrs = BuyoutModel.model_validate(data) - def save(self, filepath: Union[str, os.PathLike]): - """Save Buyout to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: + """Save the additional files to the database.""" if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name diff --git a/flood_adapt/object_model/direct_impact/measure/elevate.py b/flood_adapt/object_model/direct_impact/measure/elevate.py index d7d6e5c3f..44c0c8beb 100644 --- a/flood_adapt/object_model/direct_impact/measure/elevate.py +++ b/flood_adapt/object_model/direct_impact/measure/elevate.py @@ -1,51 +1,28 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any -import tomli -import tomli_w - -from flood_adapt.object_model.direct_impact.measure.impact_measure import ( - ImpactMeasure, -) from flood_adapt.object_model.interface.measures import ElevateModel, IElevate -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Elevate(ImpactMeasure, IElevate): +class Elevate(IElevate): """Subclass of ImpactMeasure describing the measure of elevating buildings by a specific height.""" attrs: ElevateModel - database_input_path: Union[str, os.PathLike, None] - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IElevate: - """Create Elevate from toml file.""" - obj = Elevate() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = ElevateModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IElevate: - """Create Elevate from object, e.g. when initialized from GUI.""" - obj = Elevate() - obj.attrs = ElevateModel.model_validate(data) - obj.database_input_path = database_input_path - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, ElevateModel): + self.attrs = data + else: + self.attrs = ElevateModel.model_validate(data) - def save(self, filepath: Union[str, os.PathLike]): - """Save Elevate to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: + """Save the additional files to the database.""" if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name diff --git a/flood_adapt/object_model/direct_impact/measure/floodproof.py b/flood_adapt/object_model/direct_impact/measure/floodproof.py index b6636e5bb..57a25cdba 100644 --- a/flood_adapt/object_model/direct_impact/measure/floodproof.py +++ b/flood_adapt/object_model/direct_impact/measure/floodproof.py @@ -1,50 +1,27 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any -import tomli -import tomli_w - -from flood_adapt.object_model.direct_impact.measure.impact_measure import ( - ImpactMeasure, -) from flood_adapt.object_model.interface.measures import FloodProofModel, IFloodProof -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class FloodProof(ImpactMeasure, IFloodProof): +class FloodProof(IFloodProof): """Subclass of ImpactMeasure describing the measure of flood-proof buildings.""" attrs: FloodProofModel - database_input_path: Union[str, os.PathLike, None] - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IFloodProof: - """Create FloodProof from toml file.""" - obj = FloodProof() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = FloodProofModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IFloodProof: - """Create FloodProof from object, e.g. when initialized from GUI.""" - obj = FloodProof() - obj.attrs = FloodProofModel.model_validate(data) - obj.database_input_path = database_input_path - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, FloodProofModel): + self.attrs = data + else: + self.attrs = FloodProofModel.model_validate(data) - def save(self, filepath: Union[str, os.PathLike]): - """Save FloodProof to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name diff --git a/flood_adapt/object_model/direct_impact/measure/impact_measure.py b/flood_adapt/object_model/direct_impact/measure/impact_measure.py index 6a49b1e71..a3fe5efa4 100644 --- a/flood_adapt/object_model/direct_impact/measure/impact_measure.py +++ b/flood_adapt/object_model/direct_impact/measure/impact_measure.py @@ -1,19 +1,16 @@ -import os -from abc import ABC -from pathlib import Path -from typing import Any, Optional, Union +from typing import Any, Optional from hydromt_fiat.fiat import FiatModel -from flood_adapt.object_model.interface.measures import ImpactMeasureModel -from flood_adapt.object_model.site import Site +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path +from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel +from flood_adapt.object_model.interface.site import Site -class ImpactMeasure(ABC): +class ImpactMeasure(IMeasure[ImpactMeasureModel]): """All the information for a specific measure type that affects the impact model.""" attrs: ImpactMeasureModel - database_input_path: Union[str, os.PathLike] def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: """Get ids of objects that are affected by the measure. @@ -25,16 +22,13 @@ def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: """ # get the site information site = Site.load_file( - Path(self.database_input_path).parent / "static" / "site" / "site.toml" + abs_path(TopLevelDir.static, object_dir=ObjectDir.site) / "site.toml" ) # use hydromt-fiat to load the fiat model if it is not provided if fiat_model is None: fiat_model = FiatModel( - root=Path(self.database_input_path).parent - / "static" - / "templates" - / "fiat", + root=str(abs_path(TopLevelDir.static) / "templates" / "fiat"), mode="r", ) fiat_model.read() @@ -42,9 +36,7 @@ def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: # check if polygon file is used, then get the absolute path if self.attrs.polygon_file: polygon_file = ( - Path(self.database_input_path) - / "measures" - / self.attrs.name + abs_path(TopLevelDir.input, ObjectDir.measure, self.attrs.name) / self.attrs.polygon_file ) else: diff --git a/flood_adapt/object_model/direct_impacts.py b/flood_adapt/object_model/direct_impacts.py index 322caec44..c91da34b1 100644 --- a/flood_adapt/object_model/direct_impacts.py +++ b/flood_adapt/object_model/direct_impacts.py @@ -39,18 +39,23 @@ class DirectImpacts: hazard: Hazard has_run: bool = False - def __init__(self, scenario: ScenarioModel, database, results_path: Path) -> None: + @property + def database(self): + if not hasattr(self, "_database"): + from flood_adapt.dbs_controller import Database + + self._database = Database() + return self._database + + def __init__(self, scenario: ScenarioModel, results_path: Path) -> None: self._logger = FloodAdaptLogging.getLogger(__name__) self.name = scenario.name - self.database = database self.scenario = scenario self.results_path = results_path self.set_socio_economic_change(scenario.projection) self.set_impact_strategy(scenario.strategy) - self.set_hazard(scenario, database, self.results_path.joinpath("Flooding")) - # Get site config - self.site_toml_path = self.database.static_path / "site" / "site.toml" - self.site_info = database.site + self.set_hazard(scenario, self.database, self.results_path.joinpath("Flooding")) + self.site_info = self.database.site # Define results path self.impacts_path = self.results_path.joinpath("Impacts") self.fiat_path = self.impacts_path.joinpath("fiat_model") @@ -182,7 +187,7 @@ def preprocess_fiat(self): if self.socio_economic_change.attrs.population_growth_new != 0: # Get path of new development area geometry area_path = ( - self.database.projections.get_database_path() + self.database.projections.input_path / self.scenario.projection / self.socio_economic_change.attrs.new_development_shapefile ) @@ -521,9 +526,7 @@ def _create_infometrics(self, fiat_results_df) -> Path: ] # Specify the metrics output path - metrics_outputs_path = self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath( + metrics_outputs_path = self.database.scenarios.output_path.joinpath( self.name, f"Infometrics_{self.name}.csv", ) @@ -575,7 +578,5 @@ def _create_infographics(self, mode, metrics_path): config_base_path=self.database.static_path.joinpath( "templates", "Infographics" ), - output_base_path=self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath(self.name), + output_base_path=self.database.scenarios.output_path.joinpath(self.name), ).write_infographics_to_file() diff --git a/flood_adapt/object_model/hazard/event/event.py b/flood_adapt/object_model/hazard/event/event.py index fcc03e2a6..8aa04caab 100644 --- a/flood_adapt/object_model/hazard/event/event.py +++ b/flood_adapt/object_model/hazard/event/event.py @@ -4,7 +4,6 @@ from pathlib import Path from typing import Optional, Union -import hydromt.raster # noqa: F401 import numpy as np import pandas as pd import tomli @@ -18,31 +17,32 @@ from flood_adapt.object_model.interface.events import ( EventModel, + IEvent, Mode, + Template, ) -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site -class Event: - """abstract parent class for all event types.""" +class Event(IEvent): + """Base class for all event types.""" attrs: EventModel @staticmethod def get_template(filepath: Path): """Create Synthetic from toml file.""" - obj = Event() with open(filepath, mode="rb") as fp: toml = tomli.load(fp) - obj.attrs = EventModel.model_validate(toml) - return obj.attrs.template + template = Template(toml.get("template")) + return template @staticmethod def get_mode(filepath: Path) -> Mode: """Get mode of the event (single or risk) from toml file.""" with open(filepath, mode="rb") as fp: event_data = tomli.load(fp) - mode = event_data["mode"] + mode = Mode(event_data.get("mode")) return mode @staticmethod @@ -147,7 +147,7 @@ def read_csv(csvpath: Union[str, Path]) -> pd.DataFrame: df.index.names = ["time"] return df - def download_meteo(self, site: ISite, path: Path): + def download_meteo(self, site: Site, path: Path): params = ["wind", "barometric_pressure", "precipitation"] lon = site.attrs.lon lat = site.attrs.lat diff --git a/flood_adapt/object_model/hazard/event/event_factory.py b/flood_adapt/object_model/hazard/event/event_factory.py index 70ff1383d..154de0696 100644 --- a/flood_adapt/object_model/hazard/event/event_factory.py +++ b/flood_adapt/object_model/hazard/event/event_factory.py @@ -1,4 +1,5 @@ -from flood_adapt.object_model.hazard.event.event import Event +from typing import Type + from flood_adapt.object_model.hazard.event.historical_hurricane import ( HistoricalHurricane, ) @@ -7,6 +8,7 @@ ) from flood_adapt.object_model.hazard.event.historical_offshore import HistoricalOffshore from flood_adapt.object_model.hazard.event.synthetic import Synthetic +from flood_adapt.object_model.interface.events import IEvent class EventFactory: @@ -19,7 +21,7 @@ class EventFactory: """ @staticmethod - def get_event(template: str) -> Event: + def get_event(template: str) -> Type[IEvent]: """Return event object based on template name. Parameters @@ -34,10 +36,10 @@ def get_event(template: str) -> Event: """ # Check template name and return object if template == "Synthetic": - return Synthetic() + return Synthetic elif template == "Historical_hurricane": - return HistoricalHurricane() + return HistoricalHurricane elif template == "Historical_offshore": - return HistoricalOffshore() + return HistoricalOffshore elif template == "Historical_nearshore": - return HistoricalNearshore() + return HistoricalNearshore diff --git a/flood_adapt/object_model/hazard/event/eventset.py b/flood_adapt/object_model/hazard/event/eventset.py index a35876e9e..ab770462d 100644 --- a/flood_adapt/object_model/hazard/event/eventset.py +++ b/flood_adapt/object_model/hazard/event/eventset.py @@ -1,31 +1,20 @@ from pathlib import Path -from typing import Union - -import tomli +from typing import Any +from flood_adapt.dbs_classes.path_builder import ObjectDir from flood_adapt.object_model.interface.events import EventSetModel +from flood_adapt.object_model.interface.object_model import IObject -class EventSet: +class EventSet(IObject[EventSetModel]): """class for all event sets.""" attrs: EventSetModel + dir_name = ObjectDir.event event_paths: list[Path] - @staticmethod - def load_file(filepath: Union[str, Path]): - """Create risk event from toml file.""" - obj = EventSet() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = EventSetModel.model_validate(toml) - return obj - - def __eq__(self, other): - if not isinstance(other, EventSet): - # don't attempt to compare against unrelated types - return NotImplemented - attrs_1, attrs_2 = self.attrs.copy(), other.attrs.copy() - attrs_1.__delattr__("name"), attrs_2.__delattr__("name") - attrs_1.__delattr__("description"), attrs_2.__delattr__("description") - return attrs_1 == attrs_2 + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, EventSetModel): + self.attrs = data + else: + self.attrs = EventSetModel.model_validate(data) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index aac7962fa..32f64499c 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -1,21 +1,18 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any import pyproj -import tomli -import tomli_w from cht_cyclones.tropical_cyclone import TropicalCyclone from shapely.affinity import translate -from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.interface.events import ( HistoricalHurricaneModel, IHistoricalHurricane, ) -class HistoricalHurricane(Event, IHistoricalHurricane): +class HistoricalHurricane(IHistoricalHurricane): """HistoricalHurricane class object for storing historical hurricane data in a standardized format for use in flood_adapt. Attributes @@ -35,62 +32,13 @@ class HistoricalHurricane(Event, IHistoricalHurricane): attrs: HistoricalHurricaneModel - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Load event toml. - - Parameters - ---------- - file : Path - path to the location where file will be loaded from - - Returns - ------- - HistoricalHurricane - HistoricalHurricane object - """ - # load toml file - obj = HistoricalHurricane() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - - # load toml into object - obj.attrs = HistoricalHurricaneModel.model_validate(toml) - - # return object - return obj - - @staticmethod - def load_dict(data: dict[str, Any]): - """Load event toml. - - Parameters - ---------- - data : dict - dictionary containing event data - - Returns - ------- - HistoricalHurricane - HistoricalHurricane object - """ - # Initialize object - obj = HistoricalHurricane() - - # load data into object - obj.attrs = HistoricalHurricaneModel.model_validate(data) - - # return object - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save event toml. - - Parameters - ---------- - file : Path - path to the location where file will be saved - """ + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, HistoricalHurricaneModel): + self.attrs = data + else: + self.attrs = HistoricalHurricaneModel.model_validate(data) + + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "track" or self.attrs.rainfall.source == "map": from flood_adapt.dbs_controller import Database @@ -102,11 +50,7 @@ def save(self, filepath: Union[str, os.PathLike]): .index(self.attrs.track_name) ) track = Database().cyclone_track_database.get_track(ind) - self.write_cyc(Path(filepath).parent, track) - - # save toml file - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + self.write_cyc(Path(toml_path).parent, track) def make_spw_file(self, event_path: Path, model_dir: Path): # Location of tropical cyclone database diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 1fbd225ef..00e117eed 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -5,77 +5,60 @@ import cht_observations.observation_stations as cht_station import pandas as pd -import tomli -import tomli_w -from flood_adapt.object_model.hazard.event.event import Event +from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path from flood_adapt.object_model.interface.events import ( HistoricalNearshoreModel, IHistoricalNearshore, ) from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class HistoricalNearshore(Event, IHistoricalNearshore): - attrs = HistoricalNearshoreModel +class HistoricalNearshore(IHistoricalNearshore): + rain_ts: pd.DataFrame + wind_ts: pd.DataFrame tide_surge_ts: pd.DataFrame - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Historical Nearshore from toml file.""" - obj = HistoricalNearshore() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = HistoricalNearshoreModel.model_validate(toml) + def __init__(self, data: dict[str, Any]) -> None: + """Initialize function called when object is created through the load_file or load_dict methods.""" + if isinstance(data, HistoricalNearshoreModel): + self.attrs = data + else: + self.attrs = HistoricalNearshoreModel.model_validate(data) - wl_csv_path = Path(Path(filepath).parents[0], obj.attrs.tide.timeseries_file) - obj.tide_surge_ts = HistoricalNearshore.read_csv(wl_csv_path) - if obj.attrs.rainfall.source == "timeseries": - rainfall_csv_path = Path( - Path(filepath).parents[0], obj.attrs.rainfall.timeseries_file - ) - obj.rain_ts = HistoricalNearshore.read_csv(rainfall_csv_path) - if obj.attrs.wind.source == "timeseries": - wind_csv_path = Path( - Path(filepath).parents[0], obj.attrs.wind.timeseries_file + if self.attrs.rainfall.source == "timeseries": + path = abs_path( + TopLevelDir.input, self.dir_name, self.attrs.rainfall.timeseries_file ) - obj.wind_ts = HistoricalNearshore.read_csv(wind_csv_path) + self.rain_ts = HistoricalNearshore.read_csv(path) - return obj - - @staticmethod - def load_dict(data: dict[str, Any]): - """Create Historical Nearshore from object, e.g. when initialized from GUI.""" - obj = HistoricalNearshore() - obj.attrs = HistoricalNearshoreModel.model_validate(data) - return obj + if self.attrs.wind.source == "timeseries": + path = abs_path( + TopLevelDir.input, self.dir_name, self.attrs.wind.timeseries_file + ) + self.wind_ts = HistoricalNearshore.read_csv(path) - def save(self, filepath: Union[str, os.PathLike]): - """Save event toml. + if self.attrs.tide.source == "timeseries": + path = abs_path( + TopLevelDir.input, self.dir_name, self.attrs.tide.timeseries_file + ) + self.tide_surge_ts = HistoricalNearshore.read_csv(path) - Parameters - ---------- - file : Path - path to the location where file will be saved - """ + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": - if self.attrs.rainfall.timeseries_file is None: - raise ValueError( - "The timeseries file for the rainfall source is not set." - ) - new_path = import_external_file( - self.attrs.rainfall.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.rainfall.timeseries_file ) - self.attrs.rainfall.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.rainfall.timeseries_file = path.name if self.attrs.wind.source == "timeseries": - if self.attrs.wind.timeseries_file is None: - raise ValueError("The timeseries file for the wind source is not set.") - new_path = import_external_file( - self.attrs.wind.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.wind.timeseries_file ) - self.attrs.wind.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.wind.timeseries_file = path.name for river in self.attrs.river: if river.source == "timeseries": @@ -83,21 +66,18 @@ def save(self, filepath: Union[str, os.PathLike]): raise ValueError( "The timeseries file for the river source is not set." ) - new_path = import_external_file( - river.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, river.timeseries_file ) - river.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + river.timeseries_file = path.name if self.attrs.tide.source == "timeseries": - if self.attrs.tide.timeseries_file is None: - raise ValueError("The timeseries file for the tide source is not set.") - new_path = import_external_file( - self.attrs.tide.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.tide.timeseries_file ) - self.attrs.tide.timeseries_file = str(new_path) - - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.tide.timeseries_file = path.name @staticmethod def download_wl_data( diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index 0197a9970..a77319607 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -1,68 +1,56 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any, Optional -import tomli -import tomli_w +import pandas as pd -from flood_adapt.object_model.hazard.event.event import Event +from flood_adapt.dbs_classes.path_builder import abs_path from flood_adapt.object_model.interface.events import ( HistoricalOffshoreModel, IHistoricalOffshore, ) -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class HistoricalOffshore(Event, IHistoricalOffshore): - attrs = HistoricalOffshoreModel +class HistoricalOffshore(IHistoricalOffshore): + rain_ts: Optional[pd.DataFrame] = None + wind_ts: Optional[pd.DataFrame] = None - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Synthetic from toml file.""" - obj = HistoricalOffshore() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = HistoricalOffshoreModel.model_validate(toml) - if obj.attrs.rainfall.source == "timeseries": - rainfall_csv_path = Path(Path(filepath).parents[0], "rainfall.csv") - obj.rain_ts = HistoricalOffshore.read_csv(rainfall_csv_path) - if obj.attrs.wind.source == "timeseries": - wind_csv_path = Path(Path(filepath).parents[0], "wind.csv") - obj.wind_ts = HistoricalOffshore.read_csv(wind_csv_path) - return obj + def __init__(self, data: dict[str, Any]): + """Initialize function called when object is created through the load_file or load_dict methods.""" + if isinstance(data, HistoricalOffshoreModel): + self.attrs = data + else: + self.attrs = HistoricalOffshoreModel.model_validate(data) - @staticmethod - def load_dict(data: dict[str, Any]): - """Create Synthetic from object, e.g. when initialized from GUI.""" - obj = HistoricalOffshore() - obj.attrs = HistoricalOffshoreModel.model_validate(data) - return obj + if self.attrs.rainfall.source == "timeseries": + path = ( + abs_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.rainfall.timeseries_file + ) + self.rain_ts = HistoricalOffshore.read_csv(path) - def save(self, filepath: Union[str, os.PathLike]): - """Save event toml. + if self.attrs.wind.source == "timeseries": + path = ( + abs_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.wind.timeseries_file + ) + self.wind_ts = HistoricalOffshore.read_csv(path) - Parameters - ---------- - file : Path - path to the location where file will be saved - """ + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": - if self.attrs.rainfall.timeseries_file is None: - raise ValueError( - "The timeseries file for the rainfall source is not set." - ) - new_path = import_external_file( - self.attrs.rainfall.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.rainfall.timeseries_file ) - self.attrs.rainfall.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.rainfall.timeseries_file = path.name if self.attrs.wind.source == "timeseries": - if self.attrs.wind.timeseries_file is None: - raise ValueError("The timeseries file for the wind source is not set.") - new_path = import_external_file( - self.attrs.wind.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.wind.timeseries_file ) - self.attrs.wind.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.wind.timeseries_file = path.name for river in self.attrs.river: if river.source == "timeseries": @@ -70,18 +58,15 @@ def save(self, filepath: Union[str, os.PathLike]): raise ValueError( "The timeseries file for the river source is not set." ) - new_path = import_external_file( - river.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, river.timeseries_file ) - river.timeseries_file = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) + river.timeseries_file = path.name if self.attrs.tide.source == "timeseries": - if self.attrs.tide.timeseries_file is None: - raise ValueError("The timeseries file for the tide source is not set.") - new_path = import_external_file( - self.attrs.tide.timeseries_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.tide.timeseries_file ) - self.attrs.tide.timeseries_file = str(new_path) - - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.tide.timeseries_file = path.name diff --git a/flood_adapt/object_model/hazard/event/synthetic.py b/flood_adapt/object_model/hazard/event/synthetic.py index 22984153a..57f715b24 100644 --- a/flood_adapt/object_model/hazard/event/synthetic.py +++ b/flood_adapt/object_model/hazard/event/synthetic.py @@ -1,12 +1,9 @@ import math -import os from datetime import datetime, timedelta -from typing import Any, Union +from typing import Any import numpy as np import pandas as pd -import tomli -import tomli_w from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.interface.events import ( @@ -21,49 +18,63 @@ class Synthetic(Event, ISynthetic): attrs: SyntheticModel tide_surge_ts: pd.DataFrame - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Synthetic from toml file.""" - obj = Synthetic() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = SyntheticModel.model_validate(toml) - - # synthetic event is the only one without start and stop time, so set this here. - # Default start time is defined in TimeModel, setting end_time here - # based on duration before and after T0 - tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") - end_time = tstart + timedelta( - hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 - ) - obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - return obj - - @staticmethod - def load_dict(data: dict[str, Any]): - """Create Synthetic from object, e.g. when initialized from GUI.""" - obj = Synthetic() - obj.attrs = SyntheticModel.model_validate(data) + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, SyntheticModel): + self.attrs = data + else: + self.attrs = SyntheticModel.model_validate(data) # synthetic event is the only one without start and stop time, so set this here. # Default start time is defined in TimeModel, setting end_time here # based on duration before and after T0 - tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") + tstart = datetime.strptime(self.attrs.time.start_time, "%Y%m%d %H%M%S") end_time = tstart + timedelta( - hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 + hours=self.attrs.time.duration_before_t0 + self.attrs.time.duration_after_t0 ) - obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - return obj + self.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - def save(self, filepath: Union[str, os.PathLike]): - """Save event toml. + # @staticmethod + # def load_file(filepath: Union[str, os.PathLike]): + # """Create Synthetic from toml file.""" + # obj = Synthetic() + # with open(filepath, mode="rb") as fp: + # toml = tomli.load(fp) + # obj.attrs = SyntheticModel.model_validate(toml) - Parameters - ---------- - file : Path - path to the location where file will be saved - """ - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + # # synthetic event is the only one without start and stop time, so set this here. + # # Default start time is defined in TimeModel, setting end_time here + # # based on duration before and after T0 + # tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") + # end_time = tstart + timedelta( + # hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 + # ) + # obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") + # return obj + + # @staticmethod + # def load_dict(data: dict[str, Any]): + # """Create Synthetic from object, e.g. when initialized from GUI.""" + # obj = Synthetic() + # obj.attrs = SyntheticModel.model_validate(data) + # # synthetic event is the only one without start and stop time, so set this here. + # # Default start time is defined in TimeModel, setting end_time here + # # based on duration before and after T0 + # tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") + # end_time = tstart + timedelta( + # hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 + # ) + # obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") + # return obj + + # def save(self, filepath: Union[str, os.PathLike]): + # """Save event toml. + + # Parameters + # ---------- + # file : Path + # path to the location where file will be saved + # """ + # with open(filepath, "wb") as f: + # tomli_w.dump(self.attrs.dict(exclude_none=True), f) def add_tide_and_surge_ts(self): """Generate time series of harmoneous tide (cosine) and gaussian surge shape. diff --git a/flood_adapt/object_model/hazard/hazard.py b/flood_adapt/object_model/hazard/hazard.py index a233bf326..9ed4e0fd8 100644 --- a/flood_adapt/object_model/hazard/hazard.py +++ b/flood_adapt/object_model/hazard/hazard.py @@ -25,7 +25,7 @@ from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection from flood_adapt.object_model.interface.events import Mode from flood_adapt.object_model.interface.scenarios import ScenarioModel -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, UnitfulIntensity, @@ -47,12 +47,11 @@ class Hazard: """ name: str - database_input_path: Path mode: Mode event_set: EventSet physical_projection: PhysicalProjection hazard_strategy: HazardStrategy - site: ISite + site: Site def __init__(self, scenario: ScenarioModel, database, results_dir: Path) -> None: self._logger = FloodAdaptLogging.getLogger(__name__) @@ -83,9 +82,7 @@ def has_run(self) -> bool: def set_simulation_paths(self) -> None: if self._mode == Mode.single_event: self.simulation_paths = [ - self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath( + self.database.scenarios.output_path.joinpath( self.name, "Flooding", "simulations", @@ -95,9 +92,7 @@ def set_simulation_paths(self) -> None: # Create a folder name for the offshore model (will not be used if offshore model is not created) if self.site.attrs.sfincs.offshore_model is not None: self.simulation_paths_offshore = [ - self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath( + self.database.scenarios.output_path.joinpath( self.name, "Flooding", "simulations", @@ -109,9 +104,7 @@ def set_simulation_paths(self) -> None: self.simulation_paths_offshore = [] for subevent in self.event_list: self.simulation_paths.append( - self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath( + self.database.scenarios.output_path.joinpath( self.name, "Flooding", "simulations", @@ -122,9 +115,7 @@ def set_simulation_paths(self) -> None: # Create a folder name for the offshore model (will not be used if offshore model is not created) if self.site.attrs.sfincs.offshore_model is not None: self.simulation_paths_offshore.append( - self.database.scenarios.get_database_path( - get_input_path=False - ).joinpath( + self.database.scenarios.output_path.joinpath( self.name, "Flooding", "simulations", @@ -180,7 +171,7 @@ def set_event(self) -> None: event_name (str): name of event used in scenario. """ self.event_set_path = ( - self.database.events.get_database_path() + self.database.events.input_path / self.event_name / f"{self.event_name}.toml" ) @@ -199,7 +190,7 @@ def _set_event_objects(self) -> None: for subevent in subevents: event_path = ( - self.database.events.get_database_path() + self.database.events.input_path / self.event_name / subevent / f"{subevent}.toml" @@ -538,7 +529,7 @@ def preprocess_sfincs( # Add hazard measures if included if self.hazard_strategy.measures is not None: for measure in self.hazard_strategy.measures: - measure_path = self.database.measures.get_database_path().joinpath( + measure_path = self.database.measures.input_path.joinpath( measure.attrs.name ) if measure.attrs.type == "floodwall": @@ -598,12 +589,12 @@ def preprocess_sfincs_offshore(self, ds: xr.DataArray, ii: int): ) if self.event_mode == Mode.risk: event_dir = ( - self.database.events.get_database_path() + self.database.events.input_path / self.event_set.attrs.name / self.event.attrs.name ) else: - event_dir = self.database.events.get_database_path() / self.event.attrs.name + event_dir = self.database.events.input_path / self.event.attrs.name # Create folders for offshore model self.simulation_paths_offshore[ii].mkdir(parents=True, exist_ok=True) diff --git a/flood_adapt/object_model/hazard/measure/floodwall.py b/flood_adapt/object_model/hazard/measure/floodwall.py index 68d471e33..0a76f3f90 100644 --- a/flood_adapt/object_model/hazard/measure/floodwall.py +++ b/flood_adapt/object_model/hazard/measure/floodwall.py @@ -1,53 +1,30 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any -import tomli -import tomli_w - -from flood_adapt.object_model.hazard.measure.hazard_measure import ( - HazardMeasure, -) from flood_adapt.object_model.interface.measures import ( FloodWallModel, IFloodWall, ) -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class FloodWall(HazardMeasure, IFloodWall): +class FloodWall(IFloodWall): """Subclass of HazardMeasure describing the measure of building a floodwall with a specific height.""" attrs: FloodWallModel - database_input_path: Union[str, os.PathLike, None] - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IFloodWall: - """Create Floodwall from toml file.""" - obj = FloodWall() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = FloodWallModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IFloodWall: - """Create Floodwall from object, e.g. when initialized from GUI.""" - obj = FloodWall() - obj.attrs = FloodWallModel.model_validate(data) - obj.database_input_path = database_input_path - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, FloodWallModel): + self.attrs = data + else: + self.attrs = FloodWallModel.model_validate(data) - def save(self, filepath: Union[str, os.PathLike]): - """Save Floodwall to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index ced7a1ad9..18758c05b 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -1,64 +1,39 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any import geopandas as gpd import pyproj -import tomli -import tomli_w -from flood_adapt.object_model.hazard.measure.hazard_measure import ( - HazardMeasure, -) from flood_adapt.object_model.interface.measures import ( GreenInfrastructureModel, IGreenInfrastructure, ) -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import ( UnitfulArea, UnitfulHeight, ) -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class GreenInfrastructure(HazardMeasure, IGreenInfrastructure): +class GreenInfrastructure(IGreenInfrastructure): """Subclass of HazardMeasure describing the measure of urban green infrastructure with a specific storage volume that is calculated based on are, storage height and percentage of area coverage.""" - attrs: GreenInfrastructureModel - database_input_path: Union[str, os.PathLike, None] - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IGreenInfrastructure: - """Create GreenInfrastructure from toml file.""" - obj = GreenInfrastructure() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = GreenInfrastructureModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IGreenInfrastructure: - """Create Green Infrastructure from object, e.g. when initialized from GUI.""" - obj = GreenInfrastructure() - obj.attrs = GreenInfrastructureModel.model_validate(data) - obj.database_input_path = database_input_path - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, GreenInfrastructureModel): + self.attrs = data + else: + self.attrs = GreenInfrastructureModel.model_validate(data) - def save(self, filepath: Union[str, os.PathLike]): - """Save Green Infra to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name @staticmethod def calculate_volume( @@ -91,14 +66,14 @@ def calculate_volume( return volume @staticmethod - def calculate_polygon_area(gdf: gpd.GeoDataFrame, site: ISite) -> float: + def calculate_polygon_area(gdf: gpd.GeoDataFrame, site: Site) -> float: """Calculate area of a GeoDataFrame Polygon. Parameters ---------- gdf : gpd.GeoDataFrame Polygon object - site : ISite + site : Site site config (used for CRS) Returns diff --git a/flood_adapt/object_model/hazard/measure/hazard_measure.py b/flood_adapt/object_model/hazard/measure/hazard_measure.py index f8395e083..ab74e7fdd 100644 --- a/flood_adapt/object_model/hazard/measure/hazard_measure.py +++ b/flood_adapt/object_model/hazard/measure/hazard_measure.py @@ -1,12 +1,7 @@ -import os -from abc import ABC -from typing import Union +from flood_adapt.object_model.interface.measures import HazardMeasureModel, IMeasure -from flood_adapt.object_model.interface.measures import HazardMeasureModel - -class HazardMeasure(ABC): +class HazardMeasure(IMeasure[HazardMeasureModel]): """HazardMeasure class that holds all the information for a specific measure type that affects the impact model.""" attrs: HazardMeasureModel - database_input_path: Union[str, os.PathLike] diff --git a/flood_adapt/object_model/hazard/measure/pump.py b/flood_adapt/object_model/hazard/measure/pump.py index 4ab5fe847..7fec0f015 100644 --- a/flood_adapt/object_model/hazard/measure/pump.py +++ b/flood_adapt/object_model/hazard/measure/pump.py @@ -1,54 +1,30 @@ import os from pathlib import Path -from typing import Any, Union +from typing import Any -import tomli -import tomli_w - -from flood_adapt.object_model.hazard.measure.hazard_measure import ( - HazardMeasure, -) from flood_adapt.object_model.interface.measures import ( IPump, PumpModel, ) -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Pump(HazardMeasure, IPump): +class Pump(IPump): """Subclass of HazardMeasure describing the measure of building a floodwall with a specific height.""" attrs: PumpModel - database_input_path: Union[str, os.PathLike, None] - @staticmethod - def load_file(filepath: Union[str, os.PathLike]) -> IPump: - """Create Floodwall from toml file.""" - obj = Pump() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = PumpModel.model_validate(toml) - # if measure is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, PumpModel): + self.attrs = data + else: + self.attrs = PumpModel.model_validate(data) - @staticmethod - def load_dict( - data: dict[str, Any], database_input_path: Union[str, os.PathLike, None] - ) -> IPump: - """Create Floodwall from object, e.g. when initialized from GUI.""" - obj = Pump() - obj.attrs = PumpModel.model_validate(data) - obj.database_input_path = database_input_path - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save Pump to a toml file.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.polygon_file: - new_path = import_external_file( - self.attrs.polygon_file, Path(filepath).parent + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.polygon_file ) - self.attrs.polygon_file = str(new_path) - - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.polygon_file = path.name diff --git a/flood_adapt/object_model/interface/benefits.py b/flood_adapt/object_model/interface/benefits.py index 602b1ef0c..8b36c8ff7 100644 --- a/flood_adapt/object_model/interface/benefits.py +++ b/flood_adapt/object_model/interface/benefits.py @@ -1,9 +1,12 @@ -import os -from abc import ABC, abstractmethod -from typing import Any, Optional, Union +from abc import abstractmethod +from pathlib import Path +from typing import Optional import pandas as pd -from pydantic import BaseModel, Field +from pydantic import BaseModel + +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel class CurrentSituationModel(BaseModel): @@ -11,11 +14,9 @@ class CurrentSituationModel(BaseModel): year: int -class BenefitModel(BaseModel): +class BenefitModel(IObjectModel): """BaseModel describing the expected variables and data types of a Benefit analysis object.""" - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" strategy: str event_set: str projection: str @@ -27,30 +28,14 @@ class BenefitModel(BaseModel): annual_maint_cost: Optional[float] = None -class IBenefit(ABC): +class IBenefit(IObject[BenefitModel]): attrs: BenefitModel - database_input_path: Union[str, os.PathLike] - results_path: Union[str, os.PathLike] + dir_name = ObjectDir.benefit + + results_path: Path scenarios: pd.DataFrame has_run: bool = False - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Benefit attributes from toml file.""" - ... - - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike]): - """Get Benefit attributes from an object, e.g. when initialized from GUI.""" - ... - - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Benefit attributes to a toml file, and optionally additional files.""" - ... - @abstractmethod def check_scenarios(self) -> pd.DataFrame: """Check which scenarios are needed for this benefit calculation and if they have already been created.""" diff --git a/flood_adapt/object_model/interface/database.py b/flood_adapt/object_model/interface/database.py index 8b80f0d30..ad694565f 100644 --- a/flood_adapt/object_model/interface/database.py +++ b/flood_adapt/object_model/interface/database.py @@ -6,16 +6,52 @@ import pandas as pd from cht_cyclones.tropical_cyclone import TropicalCyclone +from flood_adapt.dbs_classes.dbs_template import AbstractDatabaseElement +from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.object_model.interface.benefits import IBenefit from flood_adapt.object_model.interface.events import IEvent -from flood_adapt.object_model.interface.site import ISite +from flood_adapt.object_model.interface.site import Site class IDatabase(ABC): + base_path: Path input_path: Path output_path: Path - static_path = Path - site: ISite + static_path: Path + + static_sfincs_model: SfincsAdapter + + @property + @abstractmethod + def site(self) -> Site: ... + + @property + @abstractmethod + def static(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def events(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def scenarios(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def strategies(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def measures(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def projections(self) -> AbstractDatabaseElement: ... + + @property + @abstractmethod + def benefits(self) -> AbstractDatabaseElement: ... @abstractmethod def __init__( diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 2296ab296..77784b883 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -1,10 +1,10 @@ -import os -from abc import ABC, abstractmethod from enum import Enum -from typing import Any, Optional, Union +from typing import Optional, TypeVar -from pydantic import BaseModel, Field +from pydantic import BaseModel +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDirection, UnitfulDischarge, @@ -158,11 +158,9 @@ class TranslationModel(BaseModel): ) -class EventModel(BaseModel): # add WindModel etc as this is shared among all? templates +class EventModel(IObjectModel): """BaseModel describing the expected variables and data types of attributes common to all event types.""" - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" mode: Mode template: Template timing: Timing @@ -175,13 +173,9 @@ class EventModel(BaseModel): # add WindModel etc as this is shared among all? t surge: SurgeModel -class EventSetModel( - BaseModel -): # add WindModel etc as this is shared among all? templates +class EventSetModel(IObjectModel): """BaseModel describing the expected variables and data types of attributes common to a risk event that describes the probabilistic event set.""" - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" mode: Mode subevent_name: Optional[list[str]] = [] frequency: Optional[list[float]] = [] @@ -206,38 +200,25 @@ class HistoricalHurricaneModel(EventModel): track_name: str -class IEvent(ABC): - attrs: EventModel +EventModelType = TypeVar("EventModelType", bound=EventModel) - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Event attributes from toml file.""" - ... - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any]): - """Get Event attributes from an object, e.g. when initialized from GUI.""" - ... +class IEvent(IObject[EventModelType]): + attrs: EventModelType + dir_name = ObjectDir.event - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Event attributes to a toml file, and optionally additional files.""" - ... - -class ISynthetic(IEvent): +class ISynthetic(IEvent[SyntheticModel]): attrs: SyntheticModel -class IHistoricalNearshore(IEvent): +class IHistoricalNearshore(IEvent[HistoricalNearshoreModel]): attrs: HistoricalNearshoreModel -class IHistoricalOffshore(IEvent): +class IHistoricalOffshore(IEvent[HistoricalOffshoreModel]): attrs: HistoricalOffshoreModel -class IHistoricalHurricane(IEvent): +class IHistoricalHurricane(IEvent[HistoricalHurricaneModel]): attrs: HistoricalHurricaneModel diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 6a369a9df..ab2d3ccea 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -1,10 +1,10 @@ -import os -from abc import ABC, abstractmethod from enum import Enum -from typing import Any, Optional, Union +from typing import Any, Generic, Optional, TypeVar -from pydantic import BaseModel, Field, field_validator, model_validator, validator +from pydantic import Field, model_validator, validator +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, UnitfulHeight, @@ -46,27 +46,33 @@ class SelectionType(str, Enum): all = "all" -class MeasureModel(BaseModel): +T = TypeVar("T") + + +class MeasureModel(IObjectModel, Generic[T]): """BaseModel describing the expected variables and data types of attributes common to all measures.""" - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" - type: Union[HazardType, ImpactType] + type: T + + @model_validator(mode="after") + def validate_type(self) -> "MeasureModel": + if not isinstance(self.type, (ImpactType, HazardType)): + raise ValueError( + f"Type must be one of {ImpactType.__members__} or {HazardType.__members__}" + ) + return self -class HazardMeasureModel(MeasureModel): +class HazardMeasureModel(MeasureModel[HazardType]): """BaseModel describing the expected variables and data types of attributes common to all impact measures.""" type: HazardType selection_type: SelectionType - polygon_file: Optional[str] = None - - @field_validator("polygon_file") - @classmethod - def validate_polygon_file(cls, v: Optional[str]) -> Optional[str]: - if len(v) == 0: - raise ValueError("Polygon file path cannot be empty") - return v + polygon_file: Optional[str] = Field( + None, + min_length=1, + description="Path to a polygon file, relative to the database path.", + ) @model_validator(mode="after") def validate_selection_type(self) -> "HazardMeasureModel": @@ -81,14 +87,18 @@ def validate_selection_type(self) -> "HazardMeasureModel": return self -class ImpactMeasureModel(MeasureModel): +class ImpactMeasureModel(MeasureModel[ImpactType]): """BaseModel describing the expected variables and data types of attributes common to all impact measures.""" type: ImpactType selection_type: SelectionType aggregation_area_type: Optional[str] = None aggregation_area_name: Optional[str] = None - polygon_file: Optional[str] = None + polygon_file: Optional[str] = Field( + None, + min_length=1, + description="Path to a polygon file, relative to the database path.", + ) property_type: str # TODO make enum # TODO #94 pydantic validators do not currently work @@ -117,6 +127,7 @@ def validate_polygon_file( raise ValueError( "If `selection_type` is 'polygon', then `polygon_file` needs to be set." ) + return polygon_file @@ -207,60 +218,49 @@ def validate_selection_type_values(self) -> "GreenInfrastructureModel": return self -class IMeasure(ABC): - """A class for a FloodAdapt measure.""" - - attrs: MeasureModel +# Can probably remove all of these I-classes and just use the classes directly +# The I-classes are only used to inherit from +MeasureModelType = TypeVar("MeasureModelType", bound=MeasureModel) - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Measure attributes from toml file.""" - ... - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike]): - """Get Measure attributes from an object, e.g. when initialized from GUI.""" - ... +class IMeasure(IObject[MeasureModelType]): + """A class for a FloodAdapt measure.""" - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Measure attributes to a toml file, and optionally additional files.""" - ... + dir_name = ObjectDir.measure + attrs: MeasureModelType -class IElevate(IMeasure): +class IElevate(IMeasure[ElevateModel]): """A class for a FloodAdapt "elevate" measure.""" attrs: ElevateModel -class IBuyout(IMeasure): +class IBuyout(IMeasure[BuyoutModel]): """A class for a FloodAdapt "buyout" measure.""" attrs: BuyoutModel -class IFloodProof(IMeasure): +class IFloodProof(IMeasure[FloodProofModel]): """A class for a FloodAdapt "floodproof" measure.""" attrs: FloodProofModel -class IFloodWall(IMeasure): +class IFloodWall(IMeasure[FloodWallModel]): """A class for a FloodAdapt "floodwall" measure.""" attrs: FloodWallModel -class IPump(IMeasure): +class IPump(IMeasure[PumpModel]): """A class for a FloodAdapt "pump" measure.""" attrs: PumpModel -class IGreenInfrastructure(IMeasure): +class IGreenInfrastructure(IMeasure[GreenInfrastructureModel]): """A class for a FloodAdapt "green infrastrcutre" measure.""" attrs: GreenInfrastructureModel diff --git a/flood_adapt/object_model/interface/object_model.py b/flood_adapt/object_model/interface/object_model.py new file mode 100644 index 000000000..53d1306ce --- /dev/null +++ b/flood_adapt/object_model/interface/object_model.py @@ -0,0 +1,124 @@ +import os +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Any, Generic, Optional, TypeVar + +import tomli +import tomli_w +from pydantic import BaseModel, Field + +from flood_adapt.dbs_classes.path_builder import ObjectDir + + +class IObjectModel(BaseModel): + """Base class for object models. + + Attributes + ---------- + name : str + Name of the object. + description : str (optional) + Description of the object. + """ + + name: str = Field( + ..., + description="Name of the object.", + min_length=1, + pattern='^[^<>:"/\\\\|?* ]*$', + ) + description: Optional[str] = Field("", description="Description of the object.") + + +ObjectModel = TypeVar("ObjectModel", bound=IObjectModel) + + +class IObject(ABC, Generic[ObjectModel]): + """Base class for all FloodAdapt objects. + + Contains methods for loading and saving objects to disk. + + Attributes + ---------- + attrs : ObjectModel + The object model containing the data for the object. It should be a subclass of IObjectModel. + dir_name : ObjectDir + The directory name of the object used in the database. + + Methods + ------- + load_file(file_path: Path | str | os.PathLike) -> IObject + Load object from file. + load_dict(data: dict[str, Any]) -> IObject + Load object from dictionary. + save_additional(toml_path: Path | str | os.PathLike) -> None + Save additional files to database if the object has any and update attrs to reflect the change in file location. + save(toml_path: Path | str | os.PathLike) -> None + Save object to disk, including any additional files. + """ + + attrs: ObjectModel + + dir_name: ObjectDir + + @abstractmethod + def __init__(self, data: dict[str, Any]) -> None: + """Implement this method in the subclass to initialize the object. + + This method should validate the object model passed in as 'data' and assign it to self.attrs. + + Example: + -------- + ```python + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, ObjectModel): + self.attrs = data # load the provided model directly + else: + self.attrs = ObjectModel.model_validate( + data + ) # create a new model from the provided data + + # ... Additional initialization code here ... + ``` + """ + ... + + @property + def class_name(self) -> str: + """Return the capitalized class name of the object.""" + return self.__class__.__name__.capitalize() + + @classmethod + def load_file(cls, file_path: Path | str | os.PathLike) -> "IObject": + """Load object from file.""" + with open(file_path, mode="rb") as fp: + toml = tomli.load(fp) + return cls.load_dict(toml) + + @classmethod + def load_dict(cls, data: dict[str, Any]) -> "IObject": + """Load object from dictionary.""" + obj = cls(data) + return obj + + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: + """ + Save additional files to database if the object has any and update attrs to reflect the change in file location. + + This method should be overridden if the object has additional files. + """ + pass + + def save(self, toml_path: Path | str | os.PathLike) -> None: + """Save object to disk, including any additional files.""" + self.save_additional(toml_path) + with open(toml_path, "wb") as f: + tomli_w.dump(self.attrs.model_dump(exclude_none=True), f) + + def __eq__(self, other) -> bool: + if not isinstance(other, type(self)): + # don't attempt to compare against unrelated types + return False + attrs_1 = self.attrs.model_dump(exclude={"name", "description"}) + attrs_2 = other.attrs.model_dump(exclude={"name", "description"}) + return attrs_1 == attrs_2 diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 05c78e60e..3e30c65ff 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -1,9 +1,9 @@ -import os -from abc import ABC, abstractmethod -from typing import Any, Optional, Union +from typing import Optional -from pydantic import BaseModel, Field +from pydantic import BaseModel +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulLength, UnitfulLengthRefValue, @@ -31,29 +31,11 @@ class SocioEconomicChangeModel(BaseModel): new_development_shapefile: Optional[str] = None -class ProjectionModel(BaseModel): - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" +class ProjectionModel(IObjectModel): physical_projection: PhysicalProjectionModel socio_economic_change: SocioEconomicChangeModel -class IProjection(ABC): - attrs: ProjectionModel - - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Projection attributes from toml file.""" - ... - - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any]): - """Get Projection attributes from an object, e.g. when initialized from GUI.""" - ... - - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Projection attributes to a toml file, and optionally additional files.""" - ... +class IProjection(IObject[ProjectionModel]): + attrs = ProjectionModel + dir_name = ObjectDir.projection diff --git a/flood_adapt/object_model/interface/scenarios.py b/flood_adapt/object_model/interface/scenarios.py index 918aebca2..91f59f2dc 100644 --- a/flood_adapt/object_model/interface/scenarios.py +++ b/flood_adapt/object_model/interface/scenarios.py @@ -1,40 +1,20 @@ -import os -from abc import ABC, abstractmethod -from typing import Any, Optional, Union +from abc import abstractmethod -from pydantic import BaseModel, Field +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel -class ScenarioModel(BaseModel): +class ScenarioModel(IObjectModel): """BaseModel describing the expected variables and data types of a scenario.""" - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" event: str projection: str strategy: str -class IScenario(ABC): +class IScenario(IObject[ScenarioModel]): attrs: ScenarioModel - database_input_path: Union[str, os.PathLike] - - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Scenario attributes from toml file.""" - ... - - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any], database_input_path: Union[str, os.PathLike]): - """Get Scenario attributes from an object, e.g. when initialized from GUI.""" - ... - - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Scenario attributes to a toml file, and optionally additional files.""" - ... + dir_name = ObjectDir.scenario @abstractmethod def run(self) -> None: ... diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index 05c5237e0..63c4ce4d9 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -1,10 +1,10 @@ -import os -from abc import ABC, abstractmethod from enum import Enum from typing import Any, Optional, Union from pydantic import BaseModel, model_validator +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, UnitfulLength, @@ -284,11 +284,9 @@ class StandardObjectModel(BaseModel): strategies: Optional[list[str]] = [] -class SiteModel(BaseModel): +class SiteModel(IObjectModel): """The expected variables and data types of attributes of the Site class.""" - name: str - description: Optional[str] = "" lat: float lon: float sfincs: SfincsModel @@ -298,9 +296,9 @@ class SiteModel(BaseModel): gui: GuiModel risk: RiskModel # TODO what should the default be - flood_frequency: Optional[FloodFrequencyModel] = { - "flooding_threshold": UnitfulLength(value=0.0, units="meters") - } + flood_frequency: Optional[FloodFrequencyModel] = FloodFrequencyModel( + flooding_threshold=UnitfulLength(value=0.0, units=UnitTypesLength.meters) + ) dem: DemModel fiat: FiatModel tide_gauge: Optional[TideGaugeModel] = None @@ -314,46 +312,12 @@ class SiteModel(BaseModel): ) # optional for the US to use standard objects -class ISite(ABC): - _attrs: SiteModel - - @property - @abstractmethod - def attrs(self) -> SiteModel: - """Get the site attributes as a dictionary. - - Returns - ------- - SiteModel - Pydantic model with the site attributes - """ - ... - - @attrs.setter - @abstractmethod - def attrs(self, value: SiteModel): - """Set the site attributes from a dictionary. - - Parameters - ---------- - value : SiteModel - Pydantic model with the site attributes - """ - ... - - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike]): - """Get Site attributes from toml file.""" - ... - - @staticmethod - @abstractmethod - def load_dict(data: dict[str, Any]): - """Get Site attributes from an object, e.g. when initialized from GUI.""" - ... - - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save site attributes to a toml file, and optionally additional files.""" - ... +class Site(IObject[SiteModel]): + attrs: SiteModel + dir_name = ObjectDir.site + + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, SiteModel): + self.attrs = data + else: + self.attrs = SiteModel.model_validate(data) diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index a054a4014..2504c2c7b 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -1,37 +1,11 @@ -import os -from abc import ABC, abstractmethod -from typing import Any, Optional, Union +from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel -from pydantic import BaseModel, Field +class StrategyModel(IObjectModel): + measures: list[str] = [] -class StrategyModel(BaseModel): - name: str = Field(..., min_length=1, pattern='^[^<>:"/\\\\|?* ]*$') - description: Optional[str] = "" - measures: Optional[list[str]] = [] - -class IStrategy(ABC): +class IStrategy(IObject[StrategyModel]): + dir_name = ObjectDir.strategy attrs: StrategyModel - database_input_path: Union[str, os.PathLike] - - @staticmethod - @abstractmethod - def load_file(filepath: Union[str, os.PathLike], validate: bool = False): - """Get Strategy attributes from toml file.""" - ... - - @staticmethod - @abstractmethod - def load_dict( - data: dict[str, Any], - database_input_path: Union[str, os.PathLike], - validate: bool = True, - ): - """Get Strategy attributes from an object, e.g. when initialized from GUI.""" - ... - - @abstractmethod - def save(self, filepath: Union[str, os.PathLike]): - """Save Strategy attributes to a toml file, and optionally additional files.""" - ... diff --git a/flood_adapt/object_model/measure.py b/flood_adapt/object_model/measure.py index f5dbc1675..8d0b74f04 100644 --- a/flood_adapt/object_model/measure.py +++ b/flood_adapt/object_model/measure.py @@ -3,17 +3,26 @@ import tomli -from flood_adapt.object_model.interface.measures import MeasureModel +from flood_adapt.object_model.interface.measures import ( + HazardType, + ImpactType, + MeasureModel, +) +# I think this is not used anywhere, TODO check & remove this class if its not used class Measure: attrs: MeasureModel @staticmethod def get_measure_type(filepath: Union[str, os.PathLike]): """Get a measure type from toml file.""" - obj = Measure() with open(filepath, mode="rb") as fp: toml = tomli.load(fp) - obj.attrs = MeasureModel.model_validate(toml) - return obj.attrs.type + type = toml.get("type") + if type in ImpactType.__members__.values(): + return ImpactType(type) + elif type in HazardType.__members__.values(): + return HazardType(type) + else: + raise ValueError(f"Invalid measure type: {type}") diff --git a/flood_adapt/object_model/measure_factory.py b/flood_adapt/object_model/measure_factory.py index b57c9fcfd..45bf72d54 100644 --- a/flood_adapt/object_model/measure_factory.py +++ b/flood_adapt/object_model/measure_factory.py @@ -18,15 +18,16 @@ class MeasureFactory: def get_measure_object(filepath: Union[str, os.PathLike]): measure_type = Measure.get_measure_type(filepath) - if measure_type in iter(ImpactType): + if isinstance(measure_type, ImpactType): return ImpactMeasureFactory.get_impact_measure(measure_type).load_file( filepath ) - - elif measure_type in iter(HazardType): + elif isinstance(measure_type, HazardType): return HazardMeasureFactory.get_hazard_measure(measure_type).load_file( filepath ) + else: + raise ValueError(f"Measure type {measure_type} not recognized.") class ImpactMeasureFactory: @@ -48,6 +49,8 @@ def get_impact_measure(impact_measure: str): return Buyout elif impact_measure == "floodproof_properties": return FloodProof + else: + raise ValueError(f"Measure type {impact_measure} not recognized.") class HazardMeasureFactory: @@ -75,3 +78,5 @@ def get_hazard_measure(hazard_measure: str): return GreenInfrastructure elif hazard_measure == "pump": return Pump + else: + raise ValueError(f"Measure type {hazard_measure} not recognized.") diff --git a/flood_adapt/object_model/projection.py b/flood_adapt/object_model/projection.py index 5ea1463ae..6304fcbe5 100644 --- a/flood_adapt/object_model/projection.py +++ b/flood_adapt/object_model/projection.py @@ -1,16 +1,13 @@ import os from pathlib import Path -from typing import Any, Union - -import tomli -import tomli_w +from typing import Any from flood_adapt.object_model.direct_impact.socio_economic_change import ( SocioEconomicChange, ) from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection from flood_adapt.object_model.interface.projections import IProjection, ProjectionModel -from flood_adapt.object_model.utils import import_external_file +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database class Projection(IProjection): @@ -18,37 +15,26 @@ class Projection(IProjection): attrs: ProjectionModel + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, ProjectionModel): + self.attrs = data + else: + self.attrs = ProjectionModel.model_validate(data) + def get_physical_projection(self) -> PhysicalProjection: return PhysicalProjection(self.attrs.physical_projection) def get_socio_economic_change(self) -> SocioEconomicChange: return SocioEconomicChange(self.attrs.socio_economic_change) - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Projection from toml file.""" - obj = Projection() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = ProjectionModel.model_validate(toml) - return obj - - @staticmethod - def load_dict(data: dict[str, Any]): - """Create Projection from object, e.g. when initialized from GUI.""" - obj = Projection() - obj.attrs = ProjectionModel.model_validate(data) - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save ProjectionModel to a toml file, save any external files and update the paths in the object.""" + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.socio_economic_change.new_development_shapefile: - new_path = import_external_file( + src_path = resolve_filepath( + self.dir_name, + self.attrs.name, self.attrs.socio_economic_change.new_development_shapefile, - Path(filepath).parent, ) - # Update the shapefile path in the object so it is saved in the toml file as well - self.attrs.socio_economic_change.new_development_shapefile = str(new_path) + path = save_file_to_database(src_path, Path(toml_path).parent) - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + # Update the shapefile path in the object so it is saved in the toml file as well + self.attrs.socio_economic_change.new_development_shapefile = path.name diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index c29fa4f3c..d79cd7604 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -1,15 +1,13 @@ import os -from pathlib import Path -from typing import Any, Union - -import tomli -import tomli_w +from typing import Any from flood_adapt import __version__ +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.direct_impacts import DirectImpacts from flood_adapt.object_model.hazard.hazard import ScenarioModel from flood_adapt.object_model.interface.scenarios import IScenario +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.utils import finished_file_exists, write_finished_file @@ -18,55 +16,28 @@ class Scenario(IScenario): attrs: ScenarioModel direct_impacts: DirectImpacts - database_input_path: Union[str, os.PathLike] - def init_object_model(self) -> "Scenario": + def __init__(self, data: dict[str, Any]) -> None: """Create a Direct Impact object.""" - from flood_adapt.dbs_controller import ( - Database, # TODO: Fix circular import and move to top of file. There is too much entanglement between classes to fix this now - ) - self._logger = FloodAdaptLogging.getLogger(__name__) - database = Database() - self.site_info = database.site - self.results_path = database.scenarios.get_database_path( - get_input_path=False - ).joinpath(self.attrs.name) + if isinstance(data, ScenarioModel): + self.attrs = data + else: + self.attrs = ScenarioModel.model_validate(data) + + self.site_info = Site.load_file( + abs_path(TopLevelDir.static, ObjectDir.site) / "site.toml" + ) + self.results_path = abs_path(TopLevelDir.output, self.dir_name, self.attrs.name) self.direct_impacts = DirectImpacts( scenario=self.attrs, - database=database, results_path=self.results_path, ) - return self - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Scenario from toml file.""" - obj = Scenario() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = ScenarioModel.model_validate(toml) - # if scenario is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - return obj - - @staticmethod - def load_dict(data: dict[str, Any], database_input_path: os.PathLike): - """Create Scenario from object, e.g. when initialized from GUI.""" - obj = Scenario() - obj.attrs = ScenarioModel.model_validate(data) - obj.database_input_path = database_input_path - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save Scenario to a toml file.""" - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) def run(self): """Run direct impact models for the scenario.""" - self.init_object_model() + # self.init_object_model() os.makedirs(self.results_path, exist_ok=True) # Initiate the logger for all the integrator scripts. @@ -101,13 +72,3 @@ def run(self): def has_run_check(self): """Check if the scenario has been run.""" return finished_file_exists(self.results_path) - - def __eq__(self, other): - if not isinstance(other, Scenario): - # don't attempt to compare against unrelated types - return NotImplemented - - test1 = self.attrs.event == other.attrs.event - test2 = self.attrs.projection == other.attrs.projection - test3 = self.attrs.strategy == other.attrs.strategy - return test1 & test2 & test3 diff --git a/flood_adapt/object_model/site.py b/flood_adapt/object_model/site.py index 03c09c0f9..158cb3890 100644 --- a/flood_adapt/object_model/site.py +++ b/flood_adapt/object_model/site.py @@ -1,42 +1,11 @@ -import os -from typing import Any, Union +# from typing import Any +# from flood_adapt.object_model.interface.site import Site +# , SiteModel -import tomli -import tomli_w +# TODO Remove this class if no additional variables are needed for the site. +# class Site(Site): +# """Class for general variables of the object_model.""" +# attrs: SiteModel -from flood_adapt.object_model.interface.site import ISite, SiteModel - - -class Site(ISite): - """Class for general variables of the object_model.""" - - _attrs: SiteModel - - @property - def attrs(self) -> SiteModel: - return self._attrs - - @attrs.setter - def attrs(self, value: SiteModel): - self._attrs = value - - @staticmethod - def load_file(filepath: Union[str, os.PathLike]): - """Create Site from toml file.""" - obj = Site() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = SiteModel.model_validate(toml) - return obj - - @staticmethod - def load_dict(data: dict[str, Any]): - """Create Synthetic from object, e.g. when initialized from GUI.""" - obj = Site() - obj.attrs = SiteModel.model_validate(data) - return obj - - def save(self, filepath: Union[str, os.PathLike]) -> None: - """Write toml file from model object.""" - with open(filepath, "wb") as f: - tomli_w.dump(self._attrs.dict(exclude_none=True), f) +# def __init__(self, data: dict[str, Any]) -> None: +# super().__init__(data) diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index 124442951..02b9378c3 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -1,14 +1,11 @@ -import os -from pathlib import Path from typing import Any, Union -import tomli -import tomli_w - +from flood_adapt.dbs_classes.path_builder import ObjectDir, abs_path from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure +from flood_adapt.object_model.interface.measures import HazardType, ImpactType from flood_adapt.object_model.interface.strategies import IStrategy, StrategyModel from flood_adapt.object_model.measure_factory import ( MeasureFactory, @@ -18,112 +15,108 @@ class Strategy(IStrategy): """Strategy class that holds all the information for a specific strategy.""" - attrs: StrategyModel - database_input_path: Union[str, os.PathLike] + def __init__(self, data: dict[str, Any]) -> None: + if isinstance(data, StrategyModel): + self.attrs = data + else: + self.attrs = StrategyModel.model_validate(data) + self.impact_strategy = self.get_impact_strategy() + self.hazard_strategy = self.get_hazard_strategy() def get_measures(self) -> list[Union[ImpactMeasure, HazardMeasure]]: """Get the measures paths and types.""" - assert self.attrs.measures is not None # Get measure paths using a database structure measure_paths = [ - Path(self.database_input_path) - / "measures" - / measure - / "{}.toml".format(measure) + abs_path(object_dir=ObjectDir.measure, obj_name=measure) / f"{measure}.toml" for measure in self.attrs.measures ] - - measures = [MeasureFactory.get_measure_object(path) for path in measure_paths] - - return measures + return [MeasureFactory.get_measure_object(path) for path in measure_paths] def get_impact_strategy(self, validate=False) -> ImpactStrategy: + measures = [ + measure + for measure in self.get_measures() + if isinstance(measure.attrs.type, ImpactType) + ] return ImpactStrategy( - [ - measure - for measure in self.get_measures() - if issubclass(measure.__class__, ImpactMeasure) - ], + measures=measures, validate=validate, ) def get_hazard_strategy(self) -> HazardStrategy: - return HazardStrategy( - [ - measure - for measure in self.get_measures() - if issubclass(measure.__class__, HazardMeasure) - ] - ) - - @staticmethod - def load_file(filepath: Union[str, os.PathLike], validate: bool = False): - """Create Strategy object from toml file. - - Parameters - ---------- - filepath : Union[str, os.PathLike] - path to the Strategy's toml file - validate : bool, optional - if this is true the affected buildings from the impact-measures - will be checked to ensure they do not overlap, by default False - - Returns - ------- - IStrategy - Strategy object - """ - obj = Strategy() - with open(filepath, mode="rb") as fp: - toml = tomli.load(fp) - obj.attrs = StrategyModel.model_validate(toml) - # if strategy is created by path use that to get to the database path - obj.database_input_path = Path(filepath).parents[2] - # Need to ensure that the strategy can be created - if validate: - obj.get_impact_strategy(validate=True) - - return obj - - @staticmethod - def load_dict( - data: dict[str, Any], - database_input_path: Union[str, os.PathLike], - validate: bool = True, - ): - """_summary_. - - Parameters - ---------- - data : dict[str, Any] - dictionary with the data - database_input_path : Union[str, os.PathLike] - path like object pointing to the location of the input files - validate : bool, optional - if this is true the affected buildings from the impact-measures - will be checked to ensure they do not overlap, by default True - - Returns - ------- - IStrategy - _description_ - """ - obj = Strategy() - obj.attrs = StrategyModel.model_validate(data) - obj.database_input_path = database_input_path - # Need to ensure that the strategy can be created - if validate: - obj.get_impact_strategy(validate=True) - - return obj - - def save(self, filepath: Union[str, os.PathLike]): - """Save Strategy to a toml file. - - Parameters - ---------- - filepath : Union[str, os.PathLike] - path of the toml file to be saved - """ - with open(filepath, "wb") as f: - tomli_w.dump(self.attrs.dict(exclude_none=True), f) + measures = [ + measure + for measure in self.get_measures() + if isinstance(measure.attrs.type, HazardType) + ] + return HazardStrategy(measures=measures) + + # @staticmethod + # def load_file(filepath: Union[str, os.PathLike], validate: bool = False): + # """Create Strategy object from toml file. + + # Parameters + # ---------- + # filepath : Union[str, os.PathLike] + # path to the Strategy's toml file + # validate : bool, optional + # if this is true the affected buildings from the impact-measures + # will be checked to ensure they do not overlap, by default False + + # Returns + # ------- + # IStrategy + # Strategy object + # """ + # obj = Strategy() + # with open(filepath, mode="rb") as fp: + # toml = tomli.load(fp) + # obj.attrs = StrategyModel.model_validate(toml) + + # # Need to ensure that the strategy can be created + # if validate: + # obj.get_impact_strategy(validate=True) + + # return obj + + # @staticmethod + # def load_dict( + # data: dict[str, Any], + # database_input_path: Union[str, os.PathLike], + # validate: bool = True, + # ): + # """_summary_. + + # Parameters + # ---------- + # data : dict[str, Any] + # dictionary with the data + # database_input_path : Union[str, os.PathLike] + # path like object pointing to the location of the input files + # validate : bool, optional + # if this is true the affected buildings from the impact-measures + # will be checked to ensure they do not overlap, by default True + + # Returns + # ------- + # IStrategy + # _description_ + # """ + # obj = Strategy() + # obj.attrs = StrategyModel.model_validate(data) + # # Need to ensure that the strategy can be created + # if validate: + # obj.get_impact_strategy(validate=True) + + # return obj + + # def save(self, filepath: Union[str, os.PathLike]): + # """Save Strategy to a toml file. + + # Parameters + # ---------- + # filepath : Union[str, os.PathLike] + # path of the toml file to be saved + # """ + # with open(filepath, "wb") as f: + # tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index e9dcb49c3..8a5a34a0c 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -3,6 +3,8 @@ from contextlib import contextmanager from pathlib import Path +from flood_adapt.dbs_classes.path_builder import ObjectDir, abs_path + @contextmanager def cd(newdir: Path): @@ -25,35 +27,78 @@ def finished_file_exists(path: Path): return (Path(path) / "finished.txt").exists() -def import_external_file( - external_file: Path | str | os.PathLike, dst_dir: Path | str | os.PathLike +def resolve_filepath( + object_dir: ObjectDir, obj_name: str, path: Path | str | os.PathLike ) -> Path: - """Copy an external file to the destination directory. + """ + Determine whether a given path is an external file or a file in the database. + + Users can set the path to a file in the database directly, meaning it will be an absolute path. + Users can also read the path from loading a toml file, meaning it will be a filename relative to the toml file. Parameters ---------- - external_file : Path | str | os.PathLike - Path to the external file to be copied. + object_dir : ObjectDir + The directory name of the object in the database. + obj_name : str + The name of the object. + path : Union[Path, str, os.PathLike] + The path to the file, which can be an absolute path or a relative path. + + Returns + ------- + Path + The resolved path to the file. + + Raises + ------ + FileNotFoundError + If the file does not exist in either the provided path or the database path. + """ + _path = Path(path) + if str(_path) == _path.name: + # this is a filename, so it is in the database + src_path = abs_path(object_dir=object_dir, obj_name=obj_name) / path + else: + # this is a path, so it is an external file + src_path = Path(path) + return src_path + + +def save_file_to_database( + src_file: Path | str | os.PathLike, dst_dir: Path | str | os.PathLike +) -> Path: + """Save a file to the database. + + Parameters + ---------- + src_file : Path | str | os.PathLike + Path to the file to be copied. dst_dir : Path | str | os.PathLike Path to the destination directory. Returns ------- Path - Path to the copied file. + Path to the copied file Raises ------ FileNotFoundError - If the external file does not exist. + If the src_file does not exist at the given path """ - external_file = Path(external_file).resolve() - dst_dir = Path(dst_dir).resolve() - if not external_file.exists(): + src_file = Path(src_file).resolve() + dst_file = Path(dst_dir).resolve() / src_file.name + + if not src_file.exists(): raise FileNotFoundError( - f"Could not import file {external_file} as it does not exist." + f"Failed to find {src_file} when saving external file to the database as it does not exist." ) - dst_dir.mkdir(parents=True, exist_ok=True) - shutil.copy2(external_file, dst_dir / external_file.name) - return dst_dir / external_file.name + if src_file != dst_file and dst_file.exists(): + os.remove(dst_file) + + dst_file.parent.mkdir(parents=True, exist_ok=True) + shutil.copy2(src_file, dst_file) + + return dst_file diff --git a/tests/test_database.py b/tests/test_database.py index b99438e54..a192c43f1 100644 --- a/tests/test_database.py +++ b/tests/test_database.py @@ -5,7 +5,7 @@ from flood_adapt.api.static import read_database from flood_adapt.config import Settings from flood_adapt.object_model.benefit import Benefit -from flood_adapt.object_model.site import Site +from flood_adapt.object_model.interface.site import Site def test_database_controller(test_db): diff --git a/tests/test_integrator/test_fiat_adapter.py b/tests/test_integrator/test_fiat_adapter.py index 483eab121..fa83e6ffe 100644 --- a/tests/test_integrator/test_fiat_adapter.py +++ b/tests/test_integrator/test_fiat_adapter.py @@ -2,6 +2,7 @@ import pytest from pandas.testing import assert_frame_equal +from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path from flood_adapt.object_model.scenario import Scenario @@ -34,11 +35,11 @@ def test_no_measures(self, run_scenario_no_measures): test_db.static_path / "templates" / "fiat" / "exposure" / "exposure.csv" ) exposure_scenario = pd.read_csv( - test_db.scenarios.get_database_path(get_input_path=False).joinpath( + test_db.scenarios.output_path.joinpath( scenario_name, "Impacts", f"Impacts_detailed_{scenario_name}.csv" ) ) - path = test_db.scenarios.get_database_path(get_input_path=False).joinpath( + path = test_db.scenarios.output_path.joinpath( scenario_name, "Impacts", "fiat_model", "exposure", "exposure.csv" ) exposure_scenario = pd.read_csv(path) @@ -53,7 +54,7 @@ def test_all_measures(self, run_scenario_all_measures): test_db.static_path / "templates" / "fiat" / "exposure" / "exposure.csv" ) exposure_scenario = pd.read_csv( - test_db.scenarios.get_database_path(get_input_path=False).joinpath( + test_db.scenarios.output_path.joinpath( scenario_name, "Impacts", f"Impacts_detailed_{scenario_name}.csv" ) ) @@ -112,11 +113,8 @@ def test_all_measures(self, run_scenario_all_measures): 0 ].attrs.elevation.value # Read the base flood map information - bfes = pd.read_csv( - test_scenario.database_input_path.parent.joinpath( - "static", "bfe", "bfe.csv" - ) - ) + bfes = pd.read_csv(abs_path(TopLevelDir.static) / "bfe" / "bfe.csv") + # Create a dataframe to save the initial object attributes exposures = exposure_template.merge(bfes, on="Object ID")[ ["Object ID", "bfe", "Ground Floor Height"] @@ -199,7 +197,7 @@ def test_raise_datum(self, run_scenario_raise_datum): test_db.static_path / "templates" / "fiat" / "exposure" / "exposure.csv" ) exposure_scenario = pd.read_csv( - test_db.scenarios.get_database_path(get_input_path=False).joinpath( + test_db.scenarios.output_path.joinpath( scenario_name, "Impacts", f"Impacts_detailed_{scenario_name}.csv" ) ) diff --git a/tests/test_integrator/test_hazard_run.py b/tests/test_integrator/test_hazard_run.py index d3b1b999b..62038796a 100644 --- a/tests/test_integrator/test_hazard_run.py +++ b/tests/test_integrator/test_hazard_run.py @@ -39,7 +39,7 @@ def test_scenarios(test_db): # @pytest.mark.skip(reason="running the model takes long") def test_hazard_preprocess_synthetic_wl(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() fn_bc = ( @@ -75,7 +75,7 @@ def test_hazard_preprocess_synthetic_wl(test_db, test_scenarios): def test_hazard_preprocess_synthetic_discharge(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.attrs.name = f"{test_scenario.attrs.name}_2" @@ -99,7 +99,7 @@ def test_preprocess_rainfall_timeseriesfile(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] event_path = test_db.input_path / "events" / "extreme12ft" - test_scenario.init_object_model() + # test_scenario.init_object_model() hazard = test_scenario.direct_impacts.hazard hazard.event.attrs.rainfall.source = "timeseries" @@ -129,7 +129,7 @@ def test_preprocess_pump(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "pump" test_scenario.attrs.name = test_scenario.attrs.name.replace("no_measures", "pump") - test_scenario.init_object_model() + # test_scenario.init_object_model() hazard = test_scenario.direct_impacts.hazard @@ -148,7 +148,7 @@ def test_preprocess_greenInfra(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "greeninfra" - test_scenario.init_object_model() + # test_scenario.init_object_model() assert isinstance( test_scenario.direct_impacts.hazard.hazard_strategy.measures[0], GreenInfrastructure, @@ -169,7 +169,7 @@ def test_preprocess_greenInfra_aggr_area(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "total_storage_aggregation_area" - test_scenario.init_object_model() + # test_scenario.init_object_model() assert isinstance( test_scenario.direct_impacts.hazard.hazard_strategy.measures[0], GreenInfrastructure, @@ -181,7 +181,7 @@ def test_preprocess_greenInfra_aggr_area(test_scenarios): def test_write_floodmap_geotiff(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.direct_impacts.hazard.run_models() test_scenario.direct_impacts.hazard.postprocess_models() @@ -195,7 +195,7 @@ def test_write_floodmap_geotiff(test_scenarios): @pytest.mark.skip(reason="Fails in CICD. REFACTOR HAZARD!") def test_preprocess_prob_eventset(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() bzs_file1 = ( @@ -230,7 +230,7 @@ def test_preprocess_rainfall_increase(test_db, test_scenarios): test_scenario: Scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.projection = "SLR_2ft" test_scenario.attrs.name = "SLR_2ft_test_set_no_measures" - test_scenario.init_object_model() + # test_scenario.init_object_model() slr = test_scenario.direct_impacts.hazard.physical_projection.attrs.sea_level_rise test_scenario.direct_impacts.hazard.preprocess_models() @@ -264,7 +264,7 @@ def test_preprocess_rainfall_increase(test_db, test_scenarios): def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.name = "current_extreme12ft_precip_no_measures" - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.event.attrs.rainfall.source = "shape" test_scenario.direct_impacts.hazard.event.attrs.rainfall.shape_type = "block" test_scenario.direct_impacts.hazard.event.attrs.rainfall.cumulative = ( @@ -288,7 +288,7 @@ def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): cum_precip1 = df1.sum()[1] test_scenario.attrs.name = "current_extreme12ft_precip_rainfall_incr_no_measures" - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.event.attrs.rainfall.source = "shape" test_scenario.direct_impacts.hazard.event.attrs.rainfall.shape_type = "block" test_scenario.direct_impacts.hazard.event.attrs.rainfall.cumulative = ( @@ -320,7 +320,7 @@ def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): @pytest.mark.skip(reason="Running models takes a couple of minutes") def test_run_prob_eventset(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.direct_impacts.hazard.run_models() zs_file1 = ( @@ -353,7 +353,7 @@ def test_run_prob_eventset(test_db, test_scenarios): def test_rp_floodmap_calculation(test_db, test_scenarios): test_scenario = test_scenarios["current_test_set_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.calculate_rp_floodmaps() nc_file = ( test_db.output_path @@ -418,7 +418,7 @@ def test_rp_floodmap_calculation(test_db, test_scenarios): def test_multiple_rivers(test_db, test_scenarios): test_scenario: Scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() # Add an extra river test_scenario.direct_impacts.hazard.event.attrs.river.append( @@ -505,7 +505,7 @@ def test_multiple_rivers(test_db, test_scenarios): def test_no_rivers(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() # Overwrite river data of Event test_scenario.direct_impacts.hazard.event.attrs.river = [] @@ -543,7 +543,7 @@ def test_no_rivers(test_db, test_scenarios): def test_plot_wl_obs(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() # Preprocess the models test_scenario.direct_impacts.hazard.preprocess_models() diff --git a/tests/test_integrator/test_sfincs_adapter.py b/tests/test_integrator/test_sfincs_adapter.py index 57730330b..69ca57c6c 100644 --- a/tests/test_integrator/test_sfincs_adapter.py +++ b/tests/test_integrator/test_sfincs_adapter.py @@ -25,7 +25,7 @@ def test_scenarios(test_db): def test_add_obs_points(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() path_in = ( test_db.static_path / "templates" diff --git a/tests/test_object_model/interface/test_measures.py b/tests/test_object_model/interface/test_measures.py index 309e89b09..1883aaf8b 100644 --- a/tests/test_object_model/interface/test_measures.py +++ b/tests/test_object_model/interface/test_measures.py @@ -5,7 +5,6 @@ GreenInfrastructureModel, HazardMeasureModel, HazardType, - ImpactType, MeasureModel, SelectionType, ) @@ -65,24 +64,19 @@ def test_measure_model_invalid_name(self): def test_measure_model_invalid_type(self): # Arrange with pytest.raises(ValidationError) as excinfo: - MeasureModel( - name="test_measure", description="test description", type="invalid_type" - ) + data = { + "name": "test_measure", + "description": "test description", + "type": "invalid_type", + } + MeasureModel.model_validate(data) # Assert - assert len(excinfo.value.errors()) == 2 + assert len(excinfo.value.errors()) == 1 error = excinfo.value.errors()[0] - assert error["type"] == "enum", error["type"] - assert error["loc"] == ("type", "str-enum[HazardType]"), error["loc"] - HazardTypeMembers = [member.value for member in HazardType] - assert [member in error["msg"] for member in HazardTypeMembers], error["msg"] - - error = excinfo.value.errors()[1] - assert error["type"] == "enum", error["type"] - assert error["loc"] == ("type", "str-enum[ImpactType]"), error["loc"] - ImpactTypeMembers = [member.value for member in ImpactType] - assert [member in error["msg"] for member in ImpactTypeMembers], error["msg"] + assert error["type"] == "value_error", error["type"] + assert "Type must be one of" in error["msg"], error["msg"] class TestHazardMeasureModel: diff --git a/tests/test_object_model/test_benefit.py b/tests/test_object_model/test_benefit.py index 73ae680bd..1c2ff4666 100644 --- a/tests/test_object_model/test_benefit.py +++ b/tests/test_object_model/test_benefit.py @@ -71,14 +71,13 @@ def test_loadFile_nonExistingFile_FileNotFoundError(test_db): # Create Benefit object using using a dictionary def test_loadDict_fromTestDict_createBenefit(test_db): - benefit = Benefit.load_dict(_TEST_DICT, test_db.input_path) - + benefit = Benefit.load_dict(_TEST_DICT) assert isinstance(benefit, IBenefit) # Save a toml from a test benefit dictionary def test_save_fromTestDict_saveToml(test_db): - benefit = Benefit.load_dict(_TEST_DICT, test_db.input_path) + benefit = Benefit.load_dict(_TEST_DICT) output_path = test_db.input_path.joinpath( "benefits", "test_benefit", "test_benefit.toml" ) diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index bf34885b2..0de8d9bf2 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -684,9 +684,9 @@ def validate_event_saves_tide_rainfall_river_csv_files(output_dir, event_obj): with open(toml_path, "rb") as f: data = tomli.load(f) - assert data["tide"]["timeseries_file"] == str(expected_tide_path) - assert data["rainfall"]["timeseries_file"] == str(expected_rainfall_path) - assert data["river"][0]["timeseries_file"] == str(expected_river_path) + assert data["tide"]["timeseries_file"] == expected_tide_path.name + assert data["rainfall"]["timeseries_file"] == expected_rainfall_path.name + assert data["river"][0]["timeseries_file"] == expected_river_path.name def test_nearshore_save_additional_saves_all_csv_files(tmp_path, test_nearshore_event): diff --git a/tests/test_object_model/test_measures.py b/tests/test_object_model/test_measures.py index abf67f2ea..98e5158a8 100644 --- a/tests/test_object_model/test_measures.py +++ b/tests/test_object_model/test_measures.py @@ -93,7 +93,7 @@ def test_elevate_aggr_area_read_fail(test_db): "property_type": "RES", } - Elevate.load_dict(test_dict, test_db.input_path) + Elevate.load_dict(test_dict) def test_elevate_aggr_area_save(test_db): @@ -240,7 +240,6 @@ def test_pump(test_db, test_data_dir): ) return Pump.load_dict( data=data, - database_input_path=test_db.input_path, ) @@ -259,7 +258,6 @@ def test_elevate(test_db, test_data_dir): ) return Elevate.load_dict( data=data, - database_input_path=test_db.input_path, ) @@ -276,7 +274,6 @@ def test_buyout(test_db, test_data_dir): return Buyout.load_dict( data=data, - database_input_path=test_db.input_path, ) @@ -296,7 +293,6 @@ def test_floodproof(test_db, test_data_dir): return FloodProof.load_dict( data=data, - database_input_path=test_db.input_path, ) @@ -315,7 +311,6 @@ def test_green_infra(test_db, test_data_dir): return GreenInfrastructure.load_dict( data=data, - database_input_path=test_db.input_path, ) @@ -330,7 +325,7 @@ def test_pump_save_saves_geojson(test_pump, tmp_path): # Assert assert output_path.exists() assert expected_geojson.exists() - assert test_pump.attrs.polygon_file == str(expected_geojson) + assert test_pump.attrs.polygon_file == expected_geojson.name def test_elevate_save_saves_geojson(test_elevate, tmp_path): @@ -344,7 +339,7 @@ def test_elevate_save_saves_geojson(test_elevate, tmp_path): # Assert assert output_path.exists() assert expected_geojson.exists() - assert test_elevate.attrs.polygon_file == str(expected_geojson) + assert test_elevate.attrs.polygon_file == expected_geojson.name def test_buyout_save_saves_geojson(test_buyout, tmp_path): @@ -358,7 +353,7 @@ def test_buyout_save_saves_geojson(test_buyout, tmp_path): # Assert assert output_path.exists() assert expected_geojson.exists() - assert test_buyout.attrs.polygon_file == str(expected_geojson) + assert test_buyout.attrs.polygon_file == expected_geojson.name def test_floodproof_save_saves_geojson(test_floodproof, tmp_path): @@ -374,7 +369,7 @@ def test_floodproof_save_saves_geojson(test_floodproof, tmp_path): # Assert assert output_path.exists() assert expected_geojson.exists() - assert test_floodproof.attrs.polygon_file == str(expected_geojson) + assert test_floodproof.attrs.polygon_file == expected_geojson.name def test_green_infra_save_saves_geojson(test_green_infra, tmp_path): @@ -390,4 +385,4 @@ def test_green_infra_save_saves_geojson(test_green_infra, tmp_path): # Assert assert output_path.exists() assert expected_geojson.exists() - assert test_green_infra.attrs.polygon_file == str(expected_geojson) + assert test_green_infra.attrs.polygon_file == expected_geojson.name diff --git a/tests/test_object_model/test_projections.py b/tests/test_object_model/test_projections.py index d42d68db2..550f2b69e 100644 --- a/tests/test_object_model/test_projections.py +++ b/tests/test_object_model/test_projections.py @@ -199,6 +199,37 @@ def test_save_with_new_development_areas_also_saves_shapefile( with open(toml_path, "rb") as f: data = tomli.load(f) - assert data["socio_economic_change"]["new_development_shapefile"] == str( - expected_new_path + assert ( + data["socio_economic_change"]["new_development_shapefile"] + == expected_new_path.name + ) + + +def test_save_with_new_development_areas_shapefile_already_exists( + test_projection, test_db +): + # Arrange + toml_path = ( + test_db.input_path + / "projections" + / test_projection.attrs.name + / f"{test_projection.attrs.name}.toml" + ) + expected_new_path = ( + toml_path.parent + / Path( + test_projection.attrs.socio_economic_change.new_development_shapefile # "pop_growth_new_20.shp" + ).name + ) + + # Act + test_projection.save(toml_path) + test_projection.save(toml_path) + + # Assert + assert toml_path.exists() + assert expected_new_path.exists() + assert ( + test_projection.attrs.socio_economic_change.new_development_shapefile + == expected_new_path.name ) diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index 657fb94df..3db5a1267 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -2,6 +2,7 @@ import pandas as pd import pytest +from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path from flood_adapt.dbs_controller import Database from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.socio_economic_change import ( @@ -12,10 +13,9 @@ from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection from flood_adapt.object_model.interface.events import RainfallModel, TideModel -from flood_adapt.object_model.interface.site import SCSModel +from flood_adapt.object_model.interface.site import SCSModel, Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength from flood_adapt.object_model.scenario import Scenario -from flood_adapt.object_model.site import Site @pytest.fixture(autouse=True) @@ -44,7 +44,7 @@ def test_scenarios(test_db, test_tomls) -> dict[str, Scenario]: def test_initObjectModel_validInput(test_db, test_scenarios): test_scenario = test_scenarios["all_projections_extreme12ft_strategy_comb.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() assert isinstance(test_scenario.site_info, Site) assert isinstance(test_scenario.direct_impacts, DirectImpacts) @@ -64,7 +64,7 @@ def test_initObjectModel_validInput(test_db, test_scenarios): def test_hazard_load(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) assert event.attrs.timing == "idealized" @@ -75,7 +75,7 @@ def test_hazard_load(test_db, test_scenarios): def test_scs_rainfall(test_db: Database, test_scenarios: dict[str, Scenario]): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - test_scenario.init_object_model() + # test_scenario.init_object_model() event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) @@ -93,9 +93,7 @@ def test_scs_rainfall(test_db: Database, test_scenarios: dict[str, Scenario]): type="type_3", ) - scsfile = hazard.database_input_path.parent.joinpath( - "static", "scs", hazard.site.attrs.scs.file - ) + scsfile = abs_path(TopLevelDir.static) / "scs" / hazard.site.attrs.scs.file scstype = hazard.site.attrs.scs.type event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) @@ -152,5 +150,5 @@ def test_infographic(self, test_db): # use event template to get the associated Event child class test_scenario = Scenario.load_file(test_toml) - test_scenario.init_object_model() + # test_scenario.init_object_model() test_scenario.infographic() diff --git a/tests/test_object_model/test_site.py b/tests/test_object_model/test_site.py index c41a0352e..92583dfa8 100644 --- a/tests/test_object_model/test_site.py +++ b/tests/test_object_model/test_site.py @@ -4,13 +4,11 @@ DemModel, RiverModel, SfincsModel, + Site, SiteModel, TideGaugeModel, ) from flood_adapt.object_model.io.unitfulvalue import UnitfulDischarge, UnitfulLength -from flood_adapt.object_model.site import ( - Site, -) @pytest.fixture() diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index 9c340f090..92046d87c 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -4,13 +4,12 @@ from flood_adapt.object_model.direct_impact.measure.buyout import Buyout from flood_adapt.object_model.direct_impact.measure.elevate import Elevate from flood_adapt.object_model.direct_impact.measure.floodproof import FloodProof -from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.measure.floodwall import FloodWall from flood_adapt.object_model.hazard.measure.green_infrastructure import ( GreenInfrastructure, ) -from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure +from flood_adapt.object_model.interface.measures import HazardType, ImpactType from flood_adapt.object_model.strategy import Strategy @@ -32,13 +31,15 @@ def test_strategy_comb_read(test_db, test_strategy): assert isinstance(strategy.get_hazard_strategy(), HazardStrategy) assert isinstance(strategy.get_impact_strategy(), ImpactStrategy) assert all( - isinstance(measure, ImpactMeasure) + measure for measure in strategy.get_impact_strategy().measures - ) + if measure.attrs.type in ImpactType.__members__.values() + ), strategy.get_impact_strategy().measures assert all( - isinstance(measure, HazardMeasure) + measure for measure in strategy.get_hazard_strategy().measures - ) + if measure.attrs.type in HazardType.__members__.values() + ), strategy.get_hazard_strategy().measures assert isinstance(strategy.get_impact_strategy().measures[0], Elevate) assert isinstance(strategy.get_impact_strategy().measures[1], Buyout) assert isinstance(strategy.get_impact_strategy().measures[2], FloodProof) @@ -81,6 +82,10 @@ def test_green_infra(test_db): strategy = Strategy.load_file(test_toml) + print(strategy) + print(strategy.attrs) + print(strategy.get_hazard_strategy()) + print(strategy.get_hazard_strategy().measures) assert strategy.attrs.name == "greeninfra" assert isinstance(strategy.attrs.measures, list) assert isinstance(strategy.get_hazard_strategy().measures[0], GreenInfrastructure) diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 000000000..4898a472f --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,58 @@ +from unittest import mock + +import pytest + +from flood_adapt.object_model.utils import save_file_to_database + + +@pytest.fixture +def mock_settings(tmp_path): + with mock.patch("flood_adapt.object_model.utils.Settings") as MockSettings: + instance = MockSettings.return_value + instance.database_path = tmp_path / "Database" / "test" + yield instance + + +class TestSaveFileToDatabase: + def test_save_absfile_success(self, mock_settings, tmp_path): + # Arrange + src_file = tmp_path / "source.txt" + src_file.write_text("test content") + + dst_file = mock_settings.database_path / "subdir" / "source.txt" + + # Act + result = save_file_to_database(src_file, dst_file.parent) + + # Assert + assert dst_file.exists() + assert result == dst_file + + def test_overwrite_existing_dst_file_with_file(self, mock_settings, tmp_path): + # Arrange + src_file = tmp_path / "source.txt" + src_file.write_text("new content") + + dst_file = mock_settings.database_path / "subdir" / "source.txt" + dst_file.parent.mkdir(parents=True, exist_ok=True) + dst_file.write_text("old content") + + # Act + result = save_file_to_database(src_file, dst_file.parent) + + # Assert + assert result == dst_file + assert dst_file.read_text() == "new content" + + def test_non_existent_file_raise_file_not_found(self, mock_settings, tmp_path): + # Arrange + not_exists_src_file = tmp_path / "source.txt" + dst_file = mock_settings.database_path / "subdir" / "source.txt" + + # Act & Assert + with pytest.raises(FileNotFoundError) as excinfo: + save_file_to_database(not_exists_src_file, dst_file.parent) + assert ( + f"Failed to save external file to the database {not_exists_src_file} as it does not exist." + in str(excinfo.value) + ) From 81396add8d87ea191bf5ecb810d881a53b143a50 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Mon, 21 Oct 2024 22:05:57 +0200 Subject: [PATCH 08/28] small bug fixes + rename of util func --- flood_adapt/dbs_classes/dbs_template.py | 6 +- flood_adapt/dbs_classes/path_builder.py | 4 +- flood_adapt/dbs_controller.py | 10 +-- flood_adapt/object_model/benefit.py | 70 ++---------------- .../direct_impact/measure/impact_measure.py | 8 +- .../hazard/event/historical_nearshore.py | 8 +- .../hazard/event/historical_offshore.py | 6 +- .../object_model/hazard/event/synthetic.py | 44 ----------- flood_adapt/object_model/scenario.py | 6 +- flood_adapt/object_model/strategy.py | 74 +------------------ flood_adapt/object_model/utils.py | 8 +- tests/test_integrator/test_fiat_adapter.py | 4 +- tests/test_object_model/test_scenarios.py | 4 +- tests/test_utils.py | 2 +- 14 files changed, 43 insertions(+), 211 deletions(-) diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index 33469afa3..7cbc441e0 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -5,7 +5,7 @@ from typing import Any, Type from flood_adapt.dbs_classes.dbs_interface import AbstractDatabaseElement -from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.object_model.interface.database import IDatabase from flood_adapt.object_model.interface.object_model import IObject @@ -15,10 +15,10 @@ class DbsTemplate(AbstractDatabaseElement): def __init__(self, database: IDatabase): self._database = database - self.input_path = abs_path( + self.input_path = db_path( top_level_dir=TopLevelDir.input, object_dir=self._object_class.dir_name ) - self.output_path = abs_path( + self.output_path = db_path( top_level_dir=TopLevelDir.output, object_dir=self._object_class.dir_name ) self.standard_objects = [] diff --git a/flood_adapt/dbs_classes/path_builder.py b/flood_adapt/dbs_classes/path_builder.py index 1ef7ab3eb..20cc723d1 100644 --- a/flood_adapt/dbs_classes/path_builder.py +++ b/flood_adapt/dbs_classes/path_builder.py @@ -30,12 +30,12 @@ class ObjectDir(str, Enum): pump = "measures" -def abs_path( +def db_path( top_level_dir: TopLevelDir = TopLevelDir.input, object_dir: Optional[ObjectDir] = None, obj_name: Optional[str] = None, ) -> Path: - """Return an absolute path to a directory from arguments.""" + """Return an path to a database directory from arguments.""" return Settings().database_path / rel_path( top_level_dir=top_level_dir, object_dir=object_dir, obj_name=obj_name ) diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index f408dad37..e8f8fa54d 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -24,7 +24,7 @@ from flood_adapt.dbs_classes.dbs_scenario import DbsScenario from flood_adapt.dbs_classes.dbs_static import DbsStatic from flood_adapt.dbs_classes.dbs_strategy import DbsStrategy -from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event_factory import EventFactory @@ -114,15 +114,15 @@ def __init__( # Set the paths self.base_path = Path(database_path) / database_name - self.input_path = abs_path(TopLevelDir.input) - self.static_path = abs_path(TopLevelDir.static) - self.output_path = abs_path(TopLevelDir.output) + self.input_path = db_path(TopLevelDir.input) + self.static_path = db_path(TopLevelDir.static) + self.output_path = db_path(TopLevelDir.output) self._site = Site.load_file(self.static_path / "site" / "site.toml") # Get the static sfincs model sfincs_path = str( - abs_path(TopLevelDir.static) + db_path(TopLevelDir.static) / "templates" / self._site.attrs.sfincs.overland_model ) diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index 501504ee8..f20967bd6 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -11,7 +11,7 @@ import tomli_w from fiat_toolbox.metrics_writer.fiat_read_metrics_file import MetricsFileReader -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path from flood_adapt.object_model.interface.benefits import BenefitModel, IBenefit from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.scenario import Scenario @@ -32,14 +32,14 @@ def __init__(self, data: dict[str, Any]): self.attrs = BenefitModel.model_validate(data) # Get output path based on database path - self.results_path = abs_path(TopLevelDir.output, self.dir_name, self.attrs.name) + self.results_path = db_path(TopLevelDir.output, self.dir_name, self.attrs.name) self.check_scenarios() if self.has_run: self.get_output() # Get site config self.site_info = Site.load_file( - abs_path(TopLevelDir.static, ObjectDir.site, "site.toml") + db_path(TopLevelDir.static, ObjectDir.site, "site.toml") ) # Get monetary units self.unit = self.site_info.attrs.fiat.damage_unit @@ -125,7 +125,7 @@ def check_scenarios(self) -> pd.DataFrame: # but the way it is set-up now there will be issues with cyclic imports scenarios_avail = [] for scenario_path in list( - abs_path(TopLevelDir.input, ObjectDir.scenario).glob("*") + db_path(TopLevelDir.input, ObjectDir.scenario).glob("*") ): scenarios_avail.append( Scenario.load_file(scenario_path.joinpath(f"{scenario_path.name}.toml")) @@ -206,7 +206,7 @@ def cba(self): scenarios = self.scenarios.copy(deep=True) scenarios["EAD"] = None - results_path = abs_path(TopLevelDir.output, ObjectDir.scenario) + results_path = db_path(TopLevelDir.output, ObjectDir.scenario) # Get metrics per scenario for index, scenario in scenarios.iterrows(): @@ -284,7 +284,7 @@ def cba(self): def cba_aggregation(self): """Zonal Benefits analysis for the different aggregation areas.""" - results_path = abs_path(TopLevelDir.output, ObjectDir.scenario) + results_path = db_path(TopLevelDir.output, ObjectDir.scenario) # Get years of interest year_start = self.attrs.current_situation.year year_end = self.attrs.future_year @@ -377,7 +377,7 @@ def cba_aggregation(self): if n.name == aggr_name ][0] aggr_areas_path = ( - abs_path(TopLevelDir.static) + db_path(TopLevelDir.static) / self.site_info.attrs.fiat.aggregation[ind].file ) aggr_areas = gpd.read_file(aggr_areas_path, engine="pyogrio") @@ -550,59 +550,3 @@ def _make_html(self, cba): # write html to results folder html = self.results_path.joinpath("benefits.html") fig.write_html(html) - - # @staticmethod - # def load_file(filepath: Union[str, os.PathLike]) -> IBenefit: - # """Create a Benefit object from a toml file. - - # Parameters - # ---------- - # filepath : Union[str, os.PathLike] - # path to a toml file holding the attributes of a Benefit object - - # Returns - # ------- - # IBenefit - # a Benefit object - # """ - # obj = Benefit() - # with open(filepath, mode="rb") as fp: - # toml = tomli.load(fp) - # obj.attrs = BenefitModel.model_validate(toml) - # # if benefits is created by path use that to get to the database path - # obj._init() - # return obj - - # @staticmethod - # def load_dict( - # data: dict[str, Any], database_input_path: Union[str, os.PathLike] - # ) -> IBenefit: - # """Create a Benefit object from a dictionary, e.g. when initialized from GUI. - - # Parameters - # ---------- - # data : dict[str, Any] - # a dictionary with the Benefit attributes - # database_input_path : Union[str, os.PathLike] - # the path where the FloodAdapt database is located - - # Returns - # ------- - # IBenefit - # a Benefit object - # """ - # obj = Benefit() - # obj.attrs = BenefitModel.model_validate(data) - # obj._init() - # return obj - - # def save(self, filepath: Union[str, os.PathLike]): - # """Save the Benefit attributes as a toml file. - - # Parameters - # ---------- - # filepath : Union[str, os.PathLike] - # path for saving the toml file - # """ - # with open(filepath, "wb") as f: - # tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/direct_impact/measure/impact_measure.py b/flood_adapt/object_model/direct_impact/measure/impact_measure.py index a3fe5efa4..5f59dc6b1 100644 --- a/flood_adapt/object_model/direct_impact/measure/impact_measure.py +++ b/flood_adapt/object_model/direct_impact/measure/impact_measure.py @@ -2,7 +2,7 @@ from hydromt_fiat.fiat import FiatModel -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel from flood_adapt.object_model.interface.site import Site @@ -22,13 +22,13 @@ def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: """ # get the site information site = Site.load_file( - abs_path(TopLevelDir.static, object_dir=ObjectDir.site) / "site.toml" + db_path(TopLevelDir.static, object_dir=ObjectDir.site) / "site.toml" ) # use hydromt-fiat to load the fiat model if it is not provided if fiat_model is None: fiat_model = FiatModel( - root=str(abs_path(TopLevelDir.static) / "templates" / "fiat"), + root=str(db_path(TopLevelDir.static) / "templates" / "fiat"), mode="r", ) fiat_model.read() @@ -36,7 +36,7 @@ def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: # check if polygon file is used, then get the absolute path if self.attrs.polygon_file: polygon_file = ( - abs_path(TopLevelDir.input, ObjectDir.measure, self.attrs.name) + db_path(TopLevelDir.input, ObjectDir.measure, self.attrs.name) / self.attrs.polygon_file ) else: diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 00e117eed..ab578f4b3 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -6,7 +6,7 @@ import cht_observations.observation_stations as cht_station import pandas as pd -from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.object_model.interface.events import ( HistoricalNearshoreModel, IHistoricalNearshore, @@ -28,19 +28,19 @@ def __init__(self, data: dict[str, Any]) -> None: self.attrs = HistoricalNearshoreModel.model_validate(data) if self.attrs.rainfall.source == "timeseries": - path = abs_path( + path = db_path( TopLevelDir.input, self.dir_name, self.attrs.rainfall.timeseries_file ) self.rain_ts = HistoricalNearshore.read_csv(path) if self.attrs.wind.source == "timeseries": - path = abs_path( + path = db_path( TopLevelDir.input, self.dir_name, self.attrs.wind.timeseries_file ) self.wind_ts = HistoricalNearshore.read_csv(path) if self.attrs.tide.source == "timeseries": - path = abs_path( + path = db_path( TopLevelDir.input, self.dir_name, self.attrs.tide.timeseries_file ) self.tide_surge_ts = HistoricalNearshore.read_csv(path) diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index a77319607..fa3f0695b 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -4,7 +4,7 @@ import pandas as pd -from flood_adapt.dbs_classes.path_builder import abs_path +from flood_adapt.dbs_classes.path_builder import db_path from flood_adapt.object_model.interface.events import ( HistoricalOffshoreModel, IHistoricalOffshore, @@ -25,14 +25,14 @@ def __init__(self, data: dict[str, Any]): if self.attrs.rainfall.source == "timeseries": path = ( - abs_path(object_dir=self.dir_name, obj_name=self.attrs.name) + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) / self.attrs.rainfall.timeseries_file ) self.rain_ts = HistoricalOffshore.read_csv(path) if self.attrs.wind.source == "timeseries": path = ( - abs_path(object_dir=self.dir_name, obj_name=self.attrs.name) + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) / self.attrs.wind.timeseries_file ) self.wind_ts = HistoricalOffshore.read_csv(path) diff --git a/flood_adapt/object_model/hazard/event/synthetic.py b/flood_adapt/object_model/hazard/event/synthetic.py index 57f715b24..cb024b0d4 100644 --- a/flood_adapt/object_model/hazard/event/synthetic.py +++ b/flood_adapt/object_model/hazard/event/synthetic.py @@ -32,50 +32,6 @@ def __init__(self, data: dict[str, Any]) -> None: ) self.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - # @staticmethod - # def load_file(filepath: Union[str, os.PathLike]): - # """Create Synthetic from toml file.""" - # obj = Synthetic() - # with open(filepath, mode="rb") as fp: - # toml = tomli.load(fp) - # obj.attrs = SyntheticModel.model_validate(toml) - - # # synthetic event is the only one without start and stop time, so set this here. - # # Default start time is defined in TimeModel, setting end_time here - # # based on duration before and after T0 - # tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") - # end_time = tstart + timedelta( - # hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 - # ) - # obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - # return obj - - # @staticmethod - # def load_dict(data: dict[str, Any]): - # """Create Synthetic from object, e.g. when initialized from GUI.""" - # obj = Synthetic() - # obj.attrs = SyntheticModel.model_validate(data) - # # synthetic event is the only one without start and stop time, so set this here. - # # Default start time is defined in TimeModel, setting end_time here - # # based on duration before and after T0 - # tstart = datetime.strptime(obj.attrs.time.start_time, "%Y%m%d %H%M%S") - # end_time = tstart + timedelta( - # hours=obj.attrs.time.duration_before_t0 + obj.attrs.time.duration_after_t0 - # ) - # obj.attrs.time.end_time = datetime.strftime(end_time, "%Y%m%d %H%M%S") - # return obj - - # def save(self, filepath: Union[str, os.PathLike]): - # """Save event toml. - - # Parameters - # ---------- - # file : Path - # path to the location where file will be saved - # """ - # with open(filepath, "wb") as f: - # tomli_w.dump(self.attrs.dict(exclude_none=True), f) - def add_tide_and_surge_ts(self): """Generate time series of harmoneous tide (cosine) and gaussian surge shape. diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index d79cd7604..b363b4dee 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -2,7 +2,7 @@ from typing import Any from flood_adapt import __version__ -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.direct_impacts import DirectImpacts from flood_adapt.object_model.hazard.hazard import ScenarioModel @@ -27,9 +27,9 @@ def __init__(self, data: dict[str, Any]) -> None: self.attrs = ScenarioModel.model_validate(data) self.site_info = Site.load_file( - abs_path(TopLevelDir.static, ObjectDir.site) / "site.toml" + db_path(TopLevelDir.static, ObjectDir.site) / "site.toml" ) - self.results_path = abs_path(TopLevelDir.output, self.dir_name, self.attrs.name) + self.results_path = db_path(TopLevelDir.output, self.dir_name, self.attrs.name) self.direct_impacts = DirectImpacts( scenario=self.attrs, results_path=self.results_path, diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index 02b9378c3..8a3661a83 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -1,6 +1,6 @@ from typing import Any, Union -from flood_adapt.dbs_classes.path_builder import ObjectDir, abs_path +from flood_adapt.dbs_classes.path_builder import ObjectDir, db_path from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy @@ -27,7 +27,7 @@ def get_measures(self) -> list[Union[ImpactMeasure, HazardMeasure]]: """Get the measures paths and types.""" # Get measure paths using a database structure measure_paths = [ - abs_path(object_dir=ObjectDir.measure, obj_name=measure) / f"{measure}.toml" + db_path(object_dir=ObjectDir.measure, obj_name=measure) / f"{measure}.toml" for measure in self.attrs.measures ] return [MeasureFactory.get_measure_object(path) for path in measure_paths] @@ -50,73 +50,3 @@ def get_hazard_strategy(self) -> HazardStrategy: if isinstance(measure.attrs.type, HazardType) ] return HazardStrategy(measures=measures) - - # @staticmethod - # def load_file(filepath: Union[str, os.PathLike], validate: bool = False): - # """Create Strategy object from toml file. - - # Parameters - # ---------- - # filepath : Union[str, os.PathLike] - # path to the Strategy's toml file - # validate : bool, optional - # if this is true the affected buildings from the impact-measures - # will be checked to ensure they do not overlap, by default False - - # Returns - # ------- - # IStrategy - # Strategy object - # """ - # obj = Strategy() - # with open(filepath, mode="rb") as fp: - # toml = tomli.load(fp) - # obj.attrs = StrategyModel.model_validate(toml) - - # # Need to ensure that the strategy can be created - # if validate: - # obj.get_impact_strategy(validate=True) - - # return obj - - # @staticmethod - # def load_dict( - # data: dict[str, Any], - # database_input_path: Union[str, os.PathLike], - # validate: bool = True, - # ): - # """_summary_. - - # Parameters - # ---------- - # data : dict[str, Any] - # dictionary with the data - # database_input_path : Union[str, os.PathLike] - # path like object pointing to the location of the input files - # validate : bool, optional - # if this is true the affected buildings from the impact-measures - # will be checked to ensure they do not overlap, by default True - - # Returns - # ------- - # IStrategy - # _description_ - # """ - # obj = Strategy() - # obj.attrs = StrategyModel.model_validate(data) - # # Need to ensure that the strategy can be created - # if validate: - # obj.get_impact_strategy(validate=True) - - # return obj - - # def save(self, filepath: Union[str, os.PathLike]): - # """Save Strategy to a toml file. - - # Parameters - # ---------- - # filepath : Union[str, os.PathLike] - # path of the toml file to be saved - # """ - # with open(filepath, "wb") as f: - # tomli_w.dump(self.attrs.dict(exclude_none=True), f) diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index 8a5a34a0c..8369c14c8 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -3,7 +3,7 @@ from contextlib import contextmanager from pathlib import Path -from flood_adapt.dbs_classes.path_builder import ObjectDir, abs_path +from flood_adapt.dbs_classes.path_builder import ObjectDir, db_path @contextmanager @@ -58,7 +58,7 @@ def resolve_filepath( _path = Path(path) if str(_path) == _path.name: # this is a filename, so it is in the database - src_path = abs_path(object_dir=object_dir, obj_name=obj_name) / path + src_path = db_path(object_dir=object_dir, obj_name=obj_name) / path else: # this is a path, so it is an external file src_path = Path(path) @@ -95,7 +95,9 @@ def save_file_to_database( f"Failed to find {src_file} when saving external file to the database as it does not exist." ) - if src_file != dst_file and dst_file.exists(): + if src_file == dst_file: + return dst_file + elif dst_file.exists(): os.remove(dst_file) dst_file.parent.mkdir(parents=True, exist_ok=True) diff --git a/tests/test_integrator/test_fiat_adapter.py b/tests/test_integrator/test_fiat_adapter.py index fa83e6ffe..eaa4fa477 100644 --- a/tests/test_integrator/test_fiat_adapter.py +++ b/tests/test_integrator/test_fiat_adapter.py @@ -2,7 +2,7 @@ import pytest from pandas.testing import assert_frame_equal -from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.object_model.scenario import Scenario @@ -113,7 +113,7 @@ def test_all_measures(self, run_scenario_all_measures): 0 ].attrs.elevation.value # Read the base flood map information - bfes = pd.read_csv(abs_path(TopLevelDir.static) / "bfe" / "bfe.csv") + bfes = pd.read_csv(db_path(TopLevelDir.static) / "bfe" / "bfe.csv") # Create a dataframe to save the initial object attributes exposures = exposure_template.merge(bfes, on="Object ID")[ diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index 3db5a1267..c3906af36 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -2,7 +2,7 @@ import pandas as pd import pytest -from flood_adapt.dbs_classes.path_builder import TopLevelDir, abs_path +from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.dbs_controller import Database from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.socio_economic_change import ( @@ -93,7 +93,7 @@ def test_scs_rainfall(test_db: Database, test_scenarios: dict[str, Scenario]): type="type_3", ) - scsfile = abs_path(TopLevelDir.static) / "scs" / hazard.site.attrs.scs.file + scsfile = db_path(TopLevelDir.static) / "scs" / hazard.site.attrs.scs.file scstype = hazard.site.attrs.scs.type event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) diff --git a/tests/test_utils.py b/tests/test_utils.py index 4898a472f..edf9c52e7 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -7,7 +7,7 @@ @pytest.fixture def mock_settings(tmp_path): - with mock.patch("flood_adapt.object_model.utils.Settings") as MockSettings: + with mock.patch("flood_adapt.dbs_classes.path_builder.Settings") as MockSettings: instance = MockSettings.return_value instance.database_path = tmp_path / "Database" / "test" yield instance From 8ff7f386f293b2082262018edb0b3fa0b3d171f0 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 22 Oct 2024 09:36:37 +0200 Subject: [PATCH 09/28] moved code from pathbuilder to interface.database --- flood_adapt/dbs_classes/dbs_template.py | 3 +- flood_adapt/dbs_classes/path_builder.py | 61 ------------------- flood_adapt/dbs_controller.py | 3 +- flood_adapt/object_model/benefit.py | 2 +- .../direct_impact/measure/impact_measure.py | 6 +- .../object_model/hazard/event/event.py | 11 +--- .../object_model/hazard/event/eventset.py | 4 +- .../hazard/event/historical_nearshore.py | 8 ++- .../hazard/event/historical_offshore.py | 9 ++- .../object_model/interface/benefits.py | 4 +- .../object_model/interface/database.py | 52 +++++++++++++++- flood_adapt/object_model/interface/events.py | 4 +- .../object_model/interface/measures.py | 4 +- .../object_model/interface/object_model.py | 4 +- .../object_model/interface/projections.py | 4 +- .../object_model/interface/scenarios.py | 4 +- flood_adapt/object_model/interface/site.py | 4 +- .../object_model/interface/strategies.py | 2 +- flood_adapt/object_model/scenario.py | 2 +- flood_adapt/object_model/strategy.py | 2 +- flood_adapt/object_model/utils.py | 5 +- tests/test_integrator/test_fiat_adapter.py | 5 +- tests/test_object_model/test_scenarios.py | 5 +- tests/test_utils.py | 4 +- 24 files changed, 114 insertions(+), 98 deletions(-) delete mode 100644 flood_adapt/dbs_classes/path_builder.py diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index 7cbc441e0..ca9e03798 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -5,8 +5,7 @@ from typing import Any, Type from flood_adapt.dbs_classes.dbs_interface import AbstractDatabaseElement -from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path -from flood_adapt.object_model.interface.database import IDatabase +from flood_adapt.object_model.interface.database import IDatabase, TopLevelDir, db_path from flood_adapt.object_model.interface.object_model import IObject diff --git a/flood_adapt/dbs_classes/path_builder.py b/flood_adapt/dbs_classes/path_builder.py deleted file mode 100644 index 20cc723d1..000000000 --- a/flood_adapt/dbs_classes/path_builder.py +++ /dev/null @@ -1,61 +0,0 @@ -from enum import Enum -from pathlib import Path -from typing import Optional - -from flood_adapt.config import Settings - - -class TopLevelDir(str, Enum): - input = "input" - output = "output" - static = "static" - temp = "temp" - - -class ObjectDir(str, Enum): - site = "site" - - benefit = "benefits" - event = "events" - strategy = "strategies" - measure = "measures" - projection = "projections" - scenario = "scenarios" - - buyout = "measures" - elevate = "measures" - floodproof = "measures" - greening = "measures" - floodwall = "measures" - pump = "measures" - - -def db_path( - top_level_dir: TopLevelDir = TopLevelDir.input, - object_dir: Optional[ObjectDir] = None, - obj_name: Optional[str] = None, -) -> Path: - """Return an path to a database directory from arguments.""" - return Settings().database_path / rel_path( - top_level_dir=top_level_dir, object_dir=object_dir, obj_name=obj_name - ) - - -def rel_path( - top_level_dir: TopLevelDir = TopLevelDir.input, - object_dir: Optional[ObjectDir] = None, - obj_name: Optional[str] = None, -) -> Path: - """Return a relative path to a directory from arguments.""" - _path = Path(top_level_dir.value) - - if object_dir is not None: - if isinstance(object_dir, ObjectDir): - _path = _path / object_dir.value - else: - _path = _path / str(object_dir) - - if obj_name is not None: - _path = _path / obj_name - - return _path diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index e8f8fa54d..514a359d8 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -24,12 +24,11 @@ from flood_adapt.dbs_classes.dbs_scenario import DbsScenario from flood_adapt.dbs_classes.dbs_static import DbsStatic from flood_adapt.dbs_classes.dbs_strategy import DbsStrategy -from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event_factory import EventFactory from flood_adapt.object_model.interface.benefits import IBenefit -from flood_adapt.object_model.interface.database import IDatabase +from flood_adapt.object_model.interface.database import IDatabase, TopLevelDir, db_path from flood_adapt.object_model.interface.events import IEvent from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index f20967bd6..29e6582ac 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -11,8 +11,8 @@ import tomli_w from fiat_toolbox.metrics_writer.fiat_read_metrics_file import MetricsFileReader -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path from flood_adapt.object_model.interface.benefits import BenefitModel, IBenefit +from flood_adapt.object_model.interface.database import ObjectDir, TopLevelDir, db_path from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.scenario import Scenario diff --git a/flood_adapt/object_model/direct_impact/measure/impact_measure.py b/flood_adapt/object_model/direct_impact/measure/impact_measure.py index 5f59dc6b1..6ecce77f2 100644 --- a/flood_adapt/object_model/direct_impact/measure/impact_measure.py +++ b/flood_adapt/object_model/direct_impact/measure/impact_measure.py @@ -2,7 +2,11 @@ from hydromt_fiat.fiat import FiatModel -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path +from flood_adapt.object_model.interface.database import ( + ObjectDir, + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel from flood_adapt.object_model.interface.site import Site diff --git a/flood_adapt/object_model/hazard/event/event.py b/flood_adapt/object_model/hazard/event/event.py index 8aa04caab..77cdf9b08 100644 --- a/flood_adapt/object_model/hazard/event/event.py +++ b/flood_adapt/object_model/hazard/event/event.py @@ -24,7 +24,7 @@ from flood_adapt.object_model.interface.site import Site -class Event(IEvent): +class Event(IEvent[EventModel]): """Base class for all event types.""" attrs: EventModel @@ -457,12 +457,3 @@ def add_wind_ts(self): # df.index.names = ["time"] # df.index = pd.to_datetime(df.index) # return df - - def __eq__(self, other): - if not isinstance(other, Event): - # don't attempt to compare against unrelated types - return NotImplemented - attrs_1, attrs_2 = self.attrs.copy(), other.attrs.copy() - attrs_1.__delattr__("name"), attrs_2.__delattr__("name") - attrs_1.__delattr__("description"), attrs_2.__delattr__("description") - return attrs_1 == attrs_2 diff --git a/flood_adapt/object_model/hazard/event/eventset.py b/flood_adapt/object_model/hazard/event/eventset.py index ab770462d..259300070 100644 --- a/flood_adapt/object_model/hazard/event/eventset.py +++ b/flood_adapt/object_model/hazard/event/eventset.py @@ -1,7 +1,9 @@ from pathlib import Path from typing import Any -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.events import EventSetModel from flood_adapt.object_model.interface.object_model import IObject diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index ab578f4b3..3cf6a022b 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -6,7 +6,11 @@ import cht_observations.observation_stations as cht_station import pandas as pd -from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path +from flood_adapt.object_model.hazard.event.event import Event +from flood_adapt.object_model.interface.database import ( + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.events import ( HistoricalNearshoreModel, IHistoricalNearshore, @@ -31,7 +35,7 @@ def __init__(self, data: dict[str, Any]) -> None: path = db_path( TopLevelDir.input, self.dir_name, self.attrs.rainfall.timeseries_file ) - self.rain_ts = HistoricalNearshore.read_csv(path) + self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": path = db_path( diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index fa3f0695b..c1e1fd76b 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -4,7 +4,10 @@ import pandas as pd -from flood_adapt.dbs_classes.path_builder import db_path +from flood_adapt.object_model.hazard.event.event import Event +from flood_adapt.object_model.interface.database import ( + db_path, +) from flood_adapt.object_model.interface.events import ( HistoricalOffshoreModel, IHistoricalOffshore, @@ -28,14 +31,14 @@ def __init__(self, data: dict[str, Any]): db_path(object_dir=self.dir_name, obj_name=self.attrs.name) / self.attrs.rainfall.timeseries_file ) - self.rain_ts = HistoricalOffshore.read_csv(path) + self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": path = ( db_path(object_dir=self.dir_name, obj_name=self.attrs.name) / self.attrs.wind.timeseries_file ) - self.wind_ts = HistoricalOffshore.read_csv(path) + self.wind_ts = Event.read_csv(path) def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": diff --git a/flood_adapt/object_model/interface/benefits.py b/flood_adapt/object_model/interface/benefits.py index 8b36c8ff7..4c499d50e 100644 --- a/flood_adapt/object_model/interface/benefits.py +++ b/flood_adapt/object_model/interface/benefits.py @@ -5,7 +5,9 @@ import pandas as pd from pydantic import BaseModel -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel diff --git a/flood_adapt/object_model/interface/database.py b/flood_adapt/object_model/interface/database.py index ad694565f..e8dbf40ca 100644 --- a/flood_adapt/object_model/interface/database.py +++ b/flood_adapt/object_model/interface/database.py @@ -1,11 +1,13 @@ import os from abc import ABC, abstractmethod +from enum import Enum from pathlib import Path -from typing import Union +from typing import Optional, Union import pandas as pd from cht_cyclones.tropical_cyclone import TropicalCyclone +from flood_adapt.config import Settings from flood_adapt.dbs_classes.dbs_template import AbstractDatabaseElement from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.object_model.interface.benefits import IBenefit @@ -13,6 +15,54 @@ from flood_adapt.object_model.interface.site import Site +class TopLevelDir(str, Enum): + """Top level directories in the database.""" + + input = "input" + output = "output" + static = "static" + temp = "temp" + + +class ObjectDir(str, Enum): + """The names for object directories at the second level of the database.""" + + site = "site" + + benefit = "benefits" + event = "events" + strategy = "strategies" + measure = "measures" + projection = "projections" + scenario = "scenarios" + + buyout = "measures" + elevate = "measures" + floodproof = "measures" + greening = "measures" + floodwall = "measures" + pump = "measures" + + +def db_path( + top_level_dir: TopLevelDir = TopLevelDir.input, + object_dir: Optional[ObjectDir] = None, + obj_name: Optional[str] = None, +) -> Path: + """Return an path to a database directory from arguments.""" + rel_path = Path(top_level_dir.value) + if object_dir is not None: + if isinstance(object_dir, ObjectDir): + rel_path = rel_path / object_dir.value + else: + rel_path = rel_path / str(object_dir) + + if obj_name is not None: + rel_path = rel_path / obj_name + + return Settings().database_path / rel_path + + class IDatabase(ABC): base_path: Path input_path: Path diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 77784b883..d427614bf 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -3,7 +3,9 @@ from pydantic import BaseModel -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDirection, diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index ab2d3ccea..23a818eae 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -3,7 +3,9 @@ from pydantic import Field, model_validator, validator -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, diff --git a/flood_adapt/object_model/interface/object_model.py b/flood_adapt/object_model/interface/object_model.py index 53d1306ce..c70bb0802 100644 --- a/flood_adapt/object_model/interface/object_model.py +++ b/flood_adapt/object_model/interface/object_model.py @@ -7,7 +7,9 @@ import tomli_w from pydantic import BaseModel, Field -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) class IObjectModel(BaseModel): diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 3e30c65ff..32c1d6b3d 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -2,7 +2,9 @@ from pydantic import BaseModel -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulLength, diff --git a/flood_adapt/object_model/interface/scenarios.py b/flood_adapt/object_model/interface/scenarios.py index 91f59f2dc..e59701222 100644 --- a/flood_adapt/object_model/interface/scenarios.py +++ b/flood_adapt/object_model/interface/scenarios.py @@ -1,6 +1,8 @@ from abc import abstractmethod -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index 63c4ce4d9..7c447f93d 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -3,7 +3,9 @@ from pydantic import BaseModel, model_validator -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ( + ObjectDir, +) from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index 2504c2c7b..a76ffe257 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -1,4 +1,4 @@ -from flood_adapt.dbs_classes.path_builder import ObjectDir +from flood_adapt.object_model.interface.database import ObjectDir from flood_adapt.object_model.interface.object_model import IObject, IObjectModel diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index b363b4dee..12efac243 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -2,10 +2,10 @@ from typing import Any from flood_adapt import __version__ -from flood_adapt.dbs_classes.path_builder import ObjectDir, TopLevelDir, db_path from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.direct_impacts import DirectImpacts from flood_adapt.object_model.hazard.hazard import ScenarioModel +from flood_adapt.object_model.interface.database import ObjectDir, TopLevelDir, db_path from flood_adapt.object_model.interface.scenarios import IScenario from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.utils import finished_file_exists, write_finished_file diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index 8a3661a83..f5d6f7b31 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -1,10 +1,10 @@ from typing import Any, Union -from flood_adapt.dbs_classes.path_builder import ObjectDir, db_path from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure +from flood_adapt.object_model.interface.database import ObjectDir, db_path from flood_adapt.object_model.interface.measures import HazardType, ImpactType from flood_adapt.object_model.interface.strategies import IStrategy, StrategyModel from flood_adapt.object_model.measure_factory import ( diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index 8369c14c8..bad311f43 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -3,7 +3,10 @@ from contextlib import contextmanager from pathlib import Path -from flood_adapt.dbs_classes.path_builder import ObjectDir, db_path +from flood_adapt.object_model.interface.database import ( + ObjectDir, + db_path, +) @contextmanager diff --git a/tests/test_integrator/test_fiat_adapter.py b/tests/test_integrator/test_fiat_adapter.py index eaa4fa477..5a96ff794 100644 --- a/tests/test_integrator/test_fiat_adapter.py +++ b/tests/test_integrator/test_fiat_adapter.py @@ -2,7 +2,10 @@ import pytest from pandas.testing import assert_frame_equal -from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path +from flood_adapt.object_model.interface.database import ( + TopLevelDir, + db_path, +) from flood_adapt.object_model.scenario import Scenario diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index c3906af36..ad6199761 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -2,7 +2,6 @@ import pandas as pd import pytest -from flood_adapt.dbs_classes.path_builder import TopLevelDir, db_path from flood_adapt.dbs_controller import Database from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.socio_economic_change import ( @@ -12,6 +11,10 @@ from flood_adapt.object_model.hazard.hazard import Hazard from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection +from flood_adapt.object_model.interface.database import ( + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.events import RainfallModel, TideModel from flood_adapt.object_model.interface.site import SCSModel, Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength diff --git a/tests/test_utils.py b/tests/test_utils.py index edf9c52e7..ebf2eb7d1 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -7,7 +7,9 @@ @pytest.fixture def mock_settings(tmp_path): - with mock.patch("flood_adapt.dbs_classes.path_builder.Settings") as MockSettings: + with mock.patch( + "flood_adapt.object_model.interface.database.Settings" + ) as MockSettings: instance = MockSettings.return_value instance.database_path = tmp_path / "Database" / "test" yield instance From 287a2699491fe92f34f65de12121f439aa775786 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 22 Oct 2024 09:52:53 +0200 Subject: [PATCH 10/28] revert pathbuilder change due to circular dependency --- flood_adapt/object_model/benefit.py | 6 ++- .../direct_impact/measure/impact_measure.py | 4 +- .../object_model/hazard/event/eventset.py | 6 +-- .../object_model/interface/benefits.py | 4 +- .../object_model/interface/database.py | 52 +----------------- flood_adapt/object_model/interface/events.py | 4 +- .../object_model/interface/measures.py | 4 +- .../object_model/interface/object_model.py | 2 +- .../object_model/interface/path_builder.py | 53 +++++++++++++++++++ .../object_model/interface/projections.py | 4 +- .../object_model/interface/scenarios.py | 4 +- flood_adapt/object_model/interface/site.py | 4 +- .../object_model/interface/strategies.py | 2 +- flood_adapt/object_model/scenario.py | 6 ++- flood_adapt/object_model/strategy.py | 5 +- flood_adapt/object_model/utils.py | 2 +- 16 files changed, 88 insertions(+), 74 deletions(-) create mode 100644 flood_adapt/object_model/interface/path_builder.py diff --git a/flood_adapt/object_model/benefit.py b/flood_adapt/object_model/benefit.py index 29e6582ac..2d2709c6c 100644 --- a/flood_adapt/object_model/benefit.py +++ b/flood_adapt/object_model/benefit.py @@ -12,7 +12,11 @@ from fiat_toolbox.metrics_writer.fiat_read_metrics_file import MetricsFileReader from flood_adapt.object_model.interface.benefits import BenefitModel, IBenefit -from flood_adapt.object_model.interface.database import ObjectDir, TopLevelDir, db_path +from flood_adapt.object_model.interface.path_builder import ( + ObjectDir, + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.scenario import Scenario diff --git a/flood_adapt/object_model/direct_impact/measure/impact_measure.py b/flood_adapt/object_model/direct_impact/measure/impact_measure.py index 6ecce77f2..d5b8e8b73 100644 --- a/flood_adapt/object_model/direct_impact/measure/impact_measure.py +++ b/flood_adapt/object_model/direct_impact/measure/impact_measure.py @@ -2,12 +2,12 @@ from hydromt_fiat.fiat import FiatModel -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, TopLevelDir, db_path, ) -from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel from flood_adapt.object_model.interface.site import Site diff --git a/flood_adapt/object_model/hazard/event/eventset.py b/flood_adapt/object_model/hazard/event/eventset.py index 259300070..92fc23754 100644 --- a/flood_adapt/object_model/hazard/event/eventset.py +++ b/flood_adapt/object_model/hazard/event/eventset.py @@ -1,11 +1,11 @@ from pathlib import Path from typing import Any -from flood_adapt.object_model.interface.database import ( - ObjectDir, -) from flood_adapt.object_model.interface.events import EventSetModel from flood_adapt.object_model.interface.object_model import IObject +from flood_adapt.object_model.interface.path_builder import ( + ObjectDir, +) class EventSet(IObject[EventSetModel]): diff --git a/flood_adapt/object_model/interface/benefits.py b/flood_adapt/object_model/interface/benefits.py index 4c499d50e..18b54fca5 100644 --- a/flood_adapt/object_model/interface/benefits.py +++ b/flood_adapt/object_model/interface/benefits.py @@ -5,10 +5,10 @@ import pandas as pd from pydantic import BaseModel -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel class CurrentSituationModel(BaseModel): diff --git a/flood_adapt/object_model/interface/database.py b/flood_adapt/object_model/interface/database.py index e8dbf40ca..ad694565f 100644 --- a/flood_adapt/object_model/interface/database.py +++ b/flood_adapt/object_model/interface/database.py @@ -1,13 +1,11 @@ import os from abc import ABC, abstractmethod -from enum import Enum from pathlib import Path -from typing import Optional, Union +from typing import Union import pandas as pd from cht_cyclones.tropical_cyclone import TropicalCyclone -from flood_adapt.config import Settings from flood_adapt.dbs_classes.dbs_template import AbstractDatabaseElement from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.object_model.interface.benefits import IBenefit @@ -15,54 +13,6 @@ from flood_adapt.object_model.interface.site import Site -class TopLevelDir(str, Enum): - """Top level directories in the database.""" - - input = "input" - output = "output" - static = "static" - temp = "temp" - - -class ObjectDir(str, Enum): - """The names for object directories at the second level of the database.""" - - site = "site" - - benefit = "benefits" - event = "events" - strategy = "strategies" - measure = "measures" - projection = "projections" - scenario = "scenarios" - - buyout = "measures" - elevate = "measures" - floodproof = "measures" - greening = "measures" - floodwall = "measures" - pump = "measures" - - -def db_path( - top_level_dir: TopLevelDir = TopLevelDir.input, - object_dir: Optional[ObjectDir] = None, - obj_name: Optional[str] = None, -) -> Path: - """Return an path to a database directory from arguments.""" - rel_path = Path(top_level_dir.value) - if object_dir is not None: - if isinstance(object_dir, ObjectDir): - rel_path = rel_path / object_dir.value - else: - rel_path = rel_path / str(object_dir) - - if obj_name is not None: - rel_path = rel_path / obj_name - - return Settings().database_path / rel_path - - class IDatabase(ABC): base_path: Path input_path: Path diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index d427614bf..4db526029 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -3,10 +3,10 @@ from pydantic import BaseModel -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDirection, UnitfulDischarge, diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 23a818eae..3c19acb7e 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -3,10 +3,10 @@ from pydantic import Field, model_validator, validator -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, UnitfulHeight, diff --git a/flood_adapt/object_model/interface/object_model.py b/flood_adapt/object_model/interface/object_model.py index c70bb0802..209a453d3 100644 --- a/flood_adapt/object_model/interface/object_model.py +++ b/flood_adapt/object_model/interface/object_model.py @@ -7,7 +7,7 @@ import tomli_w from pydantic import BaseModel, Field -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) diff --git a/flood_adapt/object_model/interface/path_builder.py b/flood_adapt/object_model/interface/path_builder.py new file mode 100644 index 000000000..f605ee1df --- /dev/null +++ b/flood_adapt/object_model/interface/path_builder.py @@ -0,0 +1,53 @@ +from enum import Enum +from pathlib import Path +from typing import Optional + +from flood_adapt.config import Settings + + +class TopLevelDir(str, Enum): + """Top level directories in the database.""" + + input = "input" + output = "output" + static = "static" + temp = "temp" + + +class ObjectDir(str, Enum): + """The names for object directories at the second level of the database.""" + + site = "site" + + benefit = "benefits" + event = "events" + strategy = "strategies" + measure = "measures" + projection = "projections" + scenario = "scenarios" + + buyout = "measures" + elevate = "measures" + floodproof = "measures" + greening = "measures" + floodwall = "measures" + pump = "measures" + + +def db_path( + top_level_dir: TopLevelDir = TopLevelDir.input, + object_dir: Optional[ObjectDir] = None, + obj_name: Optional[str] = None, +) -> Path: + """Return an path to a database directory from arguments.""" + rel_path = Path(top_level_dir.value) + if object_dir is not None: + if isinstance(object_dir, ObjectDir): + rel_path = rel_path / object_dir.value + else: + rel_path = rel_path / str(object_dir) + + if obj_name is not None: + rel_path = rel_path / obj_name + + return Settings().database_path / rel_path diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 32c1d6b3d..37c05648a 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -2,10 +2,10 @@ from pydantic import BaseModel -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulLength, UnitfulLengthRefValue, diff --git a/flood_adapt/object_model/interface/scenarios.py b/flood_adapt/object_model/interface/scenarios.py index e59701222..827358313 100644 --- a/flood_adapt/object_model/interface/scenarios.py +++ b/flood_adapt/object_model/interface/scenarios.py @@ -1,9 +1,9 @@ from abc import abstractmethod -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel class ScenarioModel(IObjectModel): diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index 7c447f93d..aa940abb5 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -3,10 +3,10 @@ from pydantic import BaseModel, model_validator -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) -from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDischarge, UnitfulLength, diff --git a/flood_adapt/object_model/interface/strategies.py b/flood_adapt/object_model/interface/strategies.py index a76ffe257..b15b3f19e 100644 --- a/flood_adapt/object_model/interface/strategies.py +++ b/flood_adapt/object_model/interface/strategies.py @@ -1,5 +1,5 @@ -from flood_adapt.object_model.interface.database import ObjectDir from flood_adapt.object_model.interface.object_model import IObject, IObjectModel +from flood_adapt.object_model.interface.path_builder import ObjectDir class StrategyModel(IObjectModel): diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index 12efac243..ce871dc0e 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -5,7 +5,11 @@ from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.direct_impacts import DirectImpacts from flood_adapt.object_model.hazard.hazard import ScenarioModel -from flood_adapt.object_model.interface.database import ObjectDir, TopLevelDir, db_path +from flood_adapt.object_model.interface.path_builder import ( + ObjectDir, + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.scenarios import IScenario from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.utils import finished_file_exists, write_finished_file diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index f5d6f7b31..f424cc0b6 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -4,8 +4,11 @@ from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure -from flood_adapt.object_model.interface.database import ObjectDir, db_path from flood_adapt.object_model.interface.measures import HazardType, ImpactType +from flood_adapt.object_model.interface.path_builder import ( + ObjectDir, + db_path, +) from flood_adapt.object_model.interface.strategies import IStrategy, StrategyModel from flood_adapt.object_model.measure_factory import ( MeasureFactory, diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index bad311f43..1c5b49be2 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -3,7 +3,7 @@ from contextlib import contextmanager from pathlib import Path -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.path_builder import ( ObjectDir, db_path, ) From 54e3dd0f72685b75aa2d595fff794303db5b621d Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 22 Oct 2024 12:04:06 +0200 Subject: [PATCH 11/28] finish implementation and use of IObject subclasses in other parts of the code to make all tests green --- flood_adapt/api/events.py | 21 +++-- flood_adapt/dbs_classes/dbs_template.py | 6 +- flood_adapt/dbs_controller.py | 6 +- flood_adapt/integrator/fiat_adapter.py | 9 ++- flood_adapt/integrator/sfincs_adapter.py | 77 ++++++++++++------- .../direct_impact/impact_strategy.py | 7 +- .../direct_impact/measure/buyout.py | 6 +- .../direct_impact/measure/elevate.py | 4 +- .../direct_impact/measure/floodproof.py | 4 +- .../direct_impact/measure/impact_measure.py | 60 --------------- .../direct_impact/measure/measure_helpers.py | 58 ++++++++++++++ .../hazard/event/historical_hurricane.py | 4 +- .../hazard/event/historical_nearshore.py | 17 ++-- .../hazard/event/historical_offshore.py | 9 +-- .../object_model/hazard/event/synthetic.py | 3 +- flood_adapt/object_model/hazard/hazard.py | 18 +---- .../object_model/hazard/hazard_strategy.py | 2 +- .../object_model/hazard/measure/floodwall.py | 4 +- .../hazard/measure/green_infrastructure.py | 6 +- .../hazard/measure/hazard_measure.py | 7 -- .../object_model/hazard/measure/pump.py | 4 +- flood_adapt/object_model/interface/events.py | 42 +++++++--- .../object_model/interface/measures.py | 58 +++++++++----- flood_adapt/object_model/strategy.py | 11 ++- tests/test_integrator/test_fiat_adapter.py | 2 +- tests/test_object_model/test_scenarios.py | 4 +- tests/test_utils.py | 2 +- 27 files changed, 253 insertions(+), 198 deletions(-) delete mode 100644 flood_adapt/object_model/direct_impact/measure/impact_measure.py create mode 100644 flood_adapt/object_model/direct_impact/measure/measure_helpers.py delete mode 100644 flood_adapt/object_model/hazard/measure/hazard_measure.py diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index 91308de99..068811115 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -7,16 +7,13 @@ from flood_adapt.dbs_controller import Database from flood_adapt.object_model.hazard.event.event import Event -from flood_adapt.object_model.hazard.event.event_factory import EventFactory -from flood_adapt.object_model.hazard.event.historical_nearshore import ( +from flood_adapt.object_model.hazard.event.event_factory import ( + EventFactory, + HistoricalHurricane, HistoricalNearshore, -) -from flood_adapt.object_model.interface.events import ( + HistoricalOffshore, IEvent, - IHistoricalHurricane, - IHistoricalNearshore, - IHistoricalOffshore, - ISynthetic, + Synthetic, ) from flood_adapt.object_model.io.unitfulvalue import UnitTypesLength @@ -35,7 +32,7 @@ def get_event_mode(name: str) -> str: return Event.get_mode(filename) -def create_synthetic_event(attrs: dict[str, Any]) -> ISynthetic: +def create_synthetic_event(attrs: dict[str, Any]) -> Synthetic: """Create a synthetic event object from a dictionary of attributes. Parameters @@ -51,7 +48,7 @@ def create_synthetic_event(attrs: dict[str, Any]) -> ISynthetic: return EventFactory.get_event("Synthetic").load_dict(attrs) -def create_historical_nearshore_event(attrs: dict[str, Any]) -> IHistoricalNearshore: +def create_historical_nearshore_event(attrs: dict[str, Any]) -> HistoricalNearshore: """Create a historical nearshore event object from a dictionary of attributes. Parameters @@ -67,7 +64,7 @@ def create_historical_nearshore_event(attrs: dict[str, Any]) -> IHistoricalNears return EventFactory.get_event("Historical_nearshore").load_dict(attrs) -def create_historical_offshore_event(attrs: dict[str, Any]) -> IHistoricalOffshore: +def create_historical_offshore_event(attrs: dict[str, Any]) -> HistoricalOffshore: """Create a historical offshore event object from a dictionary of attributes. Parameters @@ -83,7 +80,7 @@ def create_historical_offshore_event(attrs: dict[str, Any]) -> IHistoricalOffsho return EventFactory.get_event("Historical_offshore").load_dict(attrs) -def create_historical_hurricane_event(attrs: dict[str, Any]) -> IHistoricalHurricane: +def create_historical_hurricane_event(attrs: dict[str, Any]) -> HistoricalHurricane: """Create a historical hurricane event object from a dictionary of attributes. Parameters diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index ca9e03798..e7206577f 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -5,8 +5,12 @@ from typing import Any, Type from flood_adapt.dbs_classes.dbs_interface import AbstractDatabaseElement -from flood_adapt.object_model.interface.database import IDatabase, TopLevelDir, db_path +from flood_adapt.object_model.interface.database import IDatabase from flood_adapt.object_model.interface.object_model import IObject +from flood_adapt.object_model.interface.path_builder import ( + TopLevelDir, + db_path, +) class DbsTemplate(AbstractDatabaseElement): diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index 514a359d8..25d2f856f 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -28,8 +28,12 @@ from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event_factory import EventFactory from flood_adapt.object_model.interface.benefits import IBenefit -from flood_adapt.object_model.interface.database import IDatabase, TopLevelDir, db_path +from flood_adapt.object_model.interface.database import IDatabase from flood_adapt.object_model.interface.events import IEvent +from flood_adapt.object_model.interface.path_builder import ( + TopLevelDir, + db_path, +) from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength from flood_adapt.object_model.scenario import Scenario diff --git a/flood_adapt/integrator/fiat_adapter.py b/flood_adapt/integrator/fiat_adapter.py index bf4a540f7..e4550e5b9 100644 --- a/flood_adapt/integrator/fiat_adapter.py +++ b/flood_adapt/integrator/fiat_adapter.py @@ -9,6 +9,9 @@ from flood_adapt.object_model.direct_impact.measure.buyout import Buyout from flood_adapt.object_model.direct_impact.measure.elevate import Elevate from flood_adapt.object_model.direct_impact.measure.floodproof import FloodProof +from flood_adapt.object_model.direct_impact.measure.measure_helpers import ( + get_object_ids, +) from flood_adapt.object_model.hazard.hazard import Hazard from flood_adapt.object_model.interface.events import Mode from flood_adapt.object_model.interface.site import Site @@ -247,7 +250,7 @@ def elevate_properties( by default None """ # If ids are given use that as an additional filter - objectids = elevate.get_object_ids(self.fiat_model) + objectids = get_object_ids(elevate, self.fiat_model) if ids: objectids = [id for id in objectids if id in ids] @@ -301,7 +304,7 @@ def buyout_properties(self, buyout: Buyout, ids: Optional[list[str]] = []): ].isin(self.site.attrs.fiat.non_building_names) # Get rows that are affected - objectids = buyout.get_object_ids(self.fiat_model) + objectids = get_object_ids(buyout, self.fiat_model) rows = ( self.fiat_model.exposure.exposure_db["Object ID"].isin(objectids) & buildings_rows @@ -334,7 +337,7 @@ def floodproof_properties( by default None """ # If ids are given use that as an additional filter - objectids = floodproof.get_object_ids(self.fiat_model) + objectids = get_object_ids(floodproof, self.fiat_model) if ids: objectids = [id for id in objectids if id in ids] diff --git a/flood_adapt/integrator/sfincs_adapter.py b/flood_adapt/integrator/sfincs_adapter.py index 48ada870a..749ad9202 100644 --- a/flood_adapt/integrator/sfincs_adapter.py +++ b/flood_adapt/integrator/sfincs_adapter.py @@ -14,16 +14,19 @@ from hydromt_sfincs import SfincsModel from hydromt_sfincs.quadtree import QuadtreeGrid -from flood_adapt.config import Settings from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.historical_hurricane import ( HistoricalHurricane, ) +from flood_adapt.object_model.hazard.measure.floodwall import FloodWall +from flood_adapt.object_model.hazard.measure.green_infrastructure import ( + GreenInfrastructure, +) +from flood_adapt.object_model.hazard.measure.pump import Pump from flood_adapt.object_model.interface.events import EventModel -from flood_adapt.object_model.interface.measures import ( - FloodWallModel, - GreenInfrastructureModel, - PumpModel, +from flood_adapt.object_model.interface.path_builder import ( + TopLevelDir, + db_path, ) from flood_adapt.object_model.interface.projections import PhysicalProjectionModel from flood_adapt.object_model.interface.site import Site @@ -270,7 +273,7 @@ def add_dis_bc(self, list_df: pd.DataFrame, site_river: list): timeseries=list_df, locations=gdf_locs, merge=False ) - def add_floodwall(self, floodwall: FloodWallModel, measure_path=Path): + def add_floodwall(self, floodwall: FloodWall): """Add floodwall to sfincs model. Parameters @@ -278,16 +281,21 @@ def add_floodwall(self, floodwall: FloodWallModel, measure_path=Path): floodwall : FloodWallModel floodwall information """ + self._logger.info("Adding floodwall to the overland flood model...") # HydroMT function: get geodataframe from filename - polygon_file = Settings().database_path / floodwall.polygon_file + polygon_file = ( + db_path(object_dir=floodwall.dir_name, obj_name=floodwall.attrs.name) + / floodwall.attrs.polygon_file + ) gdf_floodwall = self.sf_model.data_catalog.get_geodataframe( polygon_file, geom=self.sf_model.region, crs=self.sf_model.crs ) # Add floodwall attributes to geodataframe - gdf_floodwall["name"] = floodwall.name + gdf_floodwall["name"] = floodwall.attrs.name if (gdf_floodwall.geometry.type == "MultiLineString").any(): gdf_floodwall = gdf_floodwall.explode() + # TODO: Choice of height data from file or uniform height and column name with height data should be adjustable in the GUI try: heights = [ @@ -304,9 +312,11 @@ def add_floodwall(self, floodwall: FloodWallModel, measure_path=Path): except Exception: self._logger.warning( f"""Could not use height data from file due to missing ""z""-column or missing values therein.\n - Using uniform height of {floodwall.elevation.convert(UnitTypesLength("meters"))} meters instead.""" + Using uniform height of {floodwall.attrs.elevation.convert(UnitTypesLength("meters"))} meters instead.""" + ) + gdf_floodwall["z"] = floodwall.attrs.elevation.convert( + UnitTypesLength("meters") ) - gdf_floodwall["z"] = floodwall.elevation.convert(UnitTypesLength("meters")) # par1 is the overflow coefficient for weirs gdf_floodwall["par1"] = 0.6 @@ -316,42 +326,47 @@ def add_floodwall(self, floodwall: FloodWallModel, measure_path=Path): structures=gdf_floodwall, stype="weir", merge=True ) - def add_green_infrastructure( - self, green_infrastructure: GreenInfrastructureModel, measure_path: Path - ): + def add_green_infrastructure(self, green_infrastructure: GreenInfrastructure): """Add green infrastructure to sfincs model. Parameters ---------- - green_infrastructure : GreenInfrastructureModel + green_infrastructure : GreenInfrastructure Green infrastructure information measure_path: Path Path of the measure folder """ + self._logger.info("Adding green infrastructure to the overland flood model...") # HydroMT function: get geodataframe from filename - if green_infrastructure.selection_type == "polygon": - polygon_file = Settings().database_path / green_infrastructure.polygon_file - elif green_infrastructure.selection_type == "aggregation_area": + if green_infrastructure.attrs.selection_type == "polygon": + polygon_file = db_path( + object_dir=green_infrastructure.dir_name, + obj_name=green_infrastructure.attrs.polygon_file, + ) + elif green_infrastructure.attrs.selection_type == "aggregation_area": # TODO this logic already exists in the database controller but cannot be used due to cyclic imports # Loop through available aggregation area types for aggr_dict in self.site.attrs.fiat.aggregation: # check which one is used in measure - if not aggr_dict.name == green_infrastructure.aggregation_area_type: + if ( + not aggr_dict.name + == green_infrastructure.attrs.aggregation_area_type + ): continue # load geodataframe aggr_areas = gpd.read_file( - measure_path.parents[2] / "static" / aggr_dict.file, + db_path(TopLevelDir.static) / aggr_dict.file, engine="pyogrio", ).to_crs(4326) # keep only aggregation area chosen polygon_file = aggr_areas.loc[ aggr_areas[aggr_dict.field_name] - == green_infrastructure.aggregation_area_name, + == green_infrastructure.attrs.aggregation_area_name, ["geometry"], ].reset_index(drop=True) else: raise ValueError( - f"The selection type: {green_infrastructure.selection_type} is not valid" + f"The selection type: {green_infrastructure.attrs.selection_type} is not valid" ) gdf_green_infra = self.sf_model.data_catalog.get_geodataframe( @@ -365,14 +380,14 @@ def add_green_infrastructure( # Volume is always already calculated and is converted to m3 for SFINCS height = None - volume = green_infrastructure.volume.convert(UnitTypesVolume("m3")) + volume = green_infrastructure.attrs.volume.convert(UnitTypesVolume("m3")) # HydroMT function: create storage volume self.sf_model.setup_storage_volume( storage_locs=gdf_green_infra, volume=volume, height=height, merge=True ) - def add_pump(self, pump: PumpModel, measure_path: Path): + def add_pump(self, pump: Pump): """Add pump to sfincs model. Parameters @@ -380,9 +395,11 @@ def add_pump(self, pump: PumpModel, measure_path: Path): pump : PumpModel pump information """ + self._logger.info("Adding pump to the overland flood model...") # HydroMT function: get geodataframe from filename - polygon_file = Settings().database_path / pump.polygon_file - + polygon_file = db_path( + object_dir=pump.dir_name, obj_name=pump.attrs.polygon_file + ) gdf_pump = self.sf_model.data_catalog.get_geodataframe( polygon_file, geom=self.sf_model.region, crs=self.sf_model.crs ) @@ -391,7 +408,7 @@ def add_pump(self, pump: PumpModel, measure_path: Path): self.sf_model.setup_drainage_structures( structures=gdf_pump, stype="pump", - discharge=pump.discharge.convert(UnitTypesDischarge("m3/s")), + discharge=pump.attrs.discharge.convert(UnitTypesDischarge("m3/s")), merge=True, ) @@ -401,6 +418,7 @@ def write_sfincs_model(self, path_out: Path): Args: path_out (Path): new root of sfincs model """ + self._logger.info(f"Writing the sfincs model to {path_out}") # Change model root to new folder self.sf_model.set_root(path_out, mode="w+") @@ -424,9 +442,7 @@ def add_spw_forcing( model_dir : Path Output path of the model """ - historical_hurricane.make_spw_file( - event_path=event_path, model_dir=model_dir, site=self.site - ) + historical_hurricane.make_spw_file(event_path=event_path, model_dir=model_dir) def set_config_spw(self, spw_name: str): self.sf_model.set_config("spwfile", spw_name) @@ -437,6 +453,9 @@ def turn_off_bnd_press_correction(self): def add_obs_points(self): """Add observation points provided in the site toml to SFINCS model.""" if self.site.attrs.obs_point is not None: + self._logger.info( + "Adding observation points to the overland flood model..." + ) obs_points = self.site.attrs.obs_point names = [] lat = [] diff --git a/flood_adapt/object_model/direct_impact/impact_strategy.py b/flood_adapt/object_model/direct_impact/impact_strategy.py index 8cc09a3f8..7418ebeab 100644 --- a/flood_adapt/object_model/direct_impact/impact_strategy.py +++ b/flood_adapt/object_model/direct_impact/impact_strategy.py @@ -1,6 +1,9 @@ from itertools import combinations -from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure +from flood_adapt.object_model.direct_impact.measure.measure_helpers import ( + get_object_ids, +) +from flood_adapt.object_model.interface.measures import ImpactMeasure class ImpactStrategy: @@ -26,7 +29,7 @@ def validate(self): information on which combinations of measures have overlapping properties """ # Get ids of objects affected for each measure - ids = [measure.get_object_ids() for measure in self.measures] + ids = [get_object_ids(measure) for measure in self.measures] # Get all possible pairs of measures and check overlapping buildings for each measure combs = list(combinations(enumerate(ids), 2)) diff --git a/flood_adapt/object_model/direct_impact/measure/buyout.py b/flood_adapt/object_model/direct_impact/measure/buyout.py index 886c320a4..e267980df 100644 --- a/flood_adapt/object_model/direct_impact/measure/buyout.py +++ b/flood_adapt/object_model/direct_impact/measure/buyout.py @@ -2,13 +2,15 @@ from pathlib import Path from typing import Any -from flood_adapt.object_model.interface.measures import BuyoutModel, IBuyout +from flood_adapt.object_model.interface.measures import BuyoutModel, ImpactMeasure from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Buyout(IBuyout): +class Buyout(ImpactMeasure[BuyoutModel]): """Subclass of ImpactMeasure describing the measure of buying-out buildings.""" + attrs: BuyoutModel + def __init__(self, data: dict[str, Any]) -> None: if isinstance(data, BuyoutModel): self.attrs = data diff --git a/flood_adapt/object_model/direct_impact/measure/elevate.py b/flood_adapt/object_model/direct_impact/measure/elevate.py index 44c0c8beb..f290f7c67 100644 --- a/flood_adapt/object_model/direct_impact/measure/elevate.py +++ b/flood_adapt/object_model/direct_impact/measure/elevate.py @@ -2,11 +2,11 @@ from pathlib import Path from typing import Any -from flood_adapt.object_model.interface.measures import ElevateModel, IElevate +from flood_adapt.object_model.interface.measures import ElevateModel, ImpactMeasure from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Elevate(IElevate): +class Elevate(ImpactMeasure[ElevateModel]): """Subclass of ImpactMeasure describing the measure of elevating buildings by a specific height.""" attrs: ElevateModel diff --git a/flood_adapt/object_model/direct_impact/measure/floodproof.py b/flood_adapt/object_model/direct_impact/measure/floodproof.py index 57a25cdba..8758473ca 100644 --- a/flood_adapt/object_model/direct_impact/measure/floodproof.py +++ b/flood_adapt/object_model/direct_impact/measure/floodproof.py @@ -2,11 +2,11 @@ from pathlib import Path from typing import Any -from flood_adapt.object_model.interface.measures import FloodProofModel, IFloodProof +from flood_adapt.object_model.interface.measures import FloodProofModel, ImpactMeasure from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class FloodProof(IFloodProof): +class FloodProof(ImpactMeasure[FloodProofModel]): """Subclass of ImpactMeasure describing the measure of flood-proof buildings.""" attrs: FloodProofModel diff --git a/flood_adapt/object_model/direct_impact/measure/impact_measure.py b/flood_adapt/object_model/direct_impact/measure/impact_measure.py deleted file mode 100644 index d5b8e8b73..000000000 --- a/flood_adapt/object_model/direct_impact/measure/impact_measure.py +++ /dev/null @@ -1,60 +0,0 @@ -from typing import Any, Optional - -from hydromt_fiat.fiat import FiatModel - -from flood_adapt.object_model.interface.measures import IMeasure, ImpactMeasureModel -from flood_adapt.object_model.interface.path_builder import ( - ObjectDir, - TopLevelDir, - db_path, -) -from flood_adapt.object_model.interface.site import Site - - -class ImpactMeasure(IMeasure[ImpactMeasureModel]): - """All the information for a specific measure type that affects the impact model.""" - - attrs: ImpactMeasureModel - - def get_object_ids(self, fiat_model: Optional[FiatModel] = None) -> list[Any]: - """Get ids of objects that are affected by the measure. - - Returns - ------- - list[Any] - list of ids - """ - # get the site information - site = Site.load_file( - db_path(TopLevelDir.static, object_dir=ObjectDir.site) / "site.toml" - ) - - # use hydromt-fiat to load the fiat model if it is not provided - if fiat_model is None: - fiat_model = FiatModel( - root=str(db_path(TopLevelDir.static) / "templates" / "fiat"), - mode="r", - ) - fiat_model.read() - - # check if polygon file is used, then get the absolute path - if self.attrs.polygon_file: - polygon_file = ( - db_path(TopLevelDir.input, ObjectDir.measure, self.attrs.name) - / self.attrs.polygon_file - ) - else: - polygon_file = None - - # use the hydromt-fiat method to the ids - ids = fiat_model.exposure.get_object_ids( - selection_type=self.attrs.selection_type, - property_type=self.attrs.property_type, - non_building_names=site.attrs.fiat.non_building_names, - aggregation=self.attrs.aggregation_area_type, - aggregation_area_name=self.attrs.aggregation_area_name, - polygon_file=polygon_file, - ) - - del fiat_model - return ids diff --git a/flood_adapt/object_model/direct_impact/measure/measure_helpers.py b/flood_adapt/object_model/direct_impact/measure/measure_helpers.py new file mode 100644 index 000000000..7064e00cd --- /dev/null +++ b/flood_adapt/object_model/direct_impact/measure/measure_helpers.py @@ -0,0 +1,58 @@ +from typing import Any, Optional + +from hydromt_fiat.fiat import FiatModel + +from flood_adapt.object_model.interface.measures import ImpactMeasure +from flood_adapt.object_model.interface.path_builder import ( + ObjectDir, + TopLevelDir, + db_path, +) +from flood_adapt.object_model.interface.site import Site + + +# TODO find a better place for this function. maybe strategy or fiat adapter? +def get_object_ids( + measure: ImpactMeasure, fiat_model: Optional[FiatModel] = None +) -> list[Any]: + """Get ids of objects that are affected by the measure. + + Returns + ------- + list[Any] + list of ids + """ + # get the site information + site = Site.load_file( + db_path(TopLevelDir.static, object_dir=ObjectDir.site) / "site.toml" + ) + + # use hydromt-fiat to load the fiat model if it is not provided + if fiat_model is None: + fiat_model = FiatModel( + root=str(db_path(TopLevelDir.static) / "templates" / "fiat"), + mode="r", + ) + fiat_model.read() + + # check if polygon file is used, then get the absolute path + if measure.attrs.polygon_file: + polygon_file = ( + db_path(TopLevelDir.input, ObjectDir.measure, measure.attrs.name) + / measure.attrs.polygon_file + ) + else: + polygon_file = None + + # use the hydromt-fiat method to the ids + ids = fiat_model.exposure.get_object_ids( + selection_type=measure.attrs.selection_type, + property_type=measure.attrs.property_type, + non_building_names=site.attrs.fiat.non_building_names, + aggregation=measure.attrs.aggregation_area_type, + aggregation_area_name=measure.attrs.aggregation_area_name, + polygon_file=polygon_file, + ) + + del fiat_model + return ids diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 32f64499c..0d99a0203 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -6,13 +6,13 @@ from cht_cyclones.tropical_cyclone import TropicalCyclone from shapely.affinity import translate +from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.interface.events import ( HistoricalHurricaneModel, - IHistoricalHurricane, ) -class HistoricalHurricane(IHistoricalHurricane): +class HistoricalHurricane(Event): """HistoricalHurricane class object for storing historical hurricane data in a standardized format for use in flood_adapt. Attributes diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 3cf6a022b..17de28db4 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -7,19 +7,18 @@ import pandas as pd from flood_adapt.object_model.hazard.event.event import Event -from flood_adapt.object_model.interface.database import ( - TopLevelDir, - db_path, -) from flood_adapt.object_model.interface.events import ( HistoricalNearshoreModel, - IHistoricalNearshore, +) +from flood_adapt.object_model.interface.path_builder import ( + TopLevelDir, + db_path, ) from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class HistoricalNearshore(IHistoricalNearshore): +class HistoricalNearshore(Event): rain_ts: pd.DataFrame wind_ts: pd.DataFrame tide_surge_ts: pd.DataFrame @@ -41,13 +40,13 @@ def __init__(self, data: dict[str, Any]) -> None: path = db_path( TopLevelDir.input, self.dir_name, self.attrs.wind.timeseries_file ) - self.wind_ts = HistoricalNearshore.read_csv(path) + self.wind_ts = Event.read_csv(path) if self.attrs.tide.source == "timeseries": path = db_path( TopLevelDir.input, self.dir_name, self.attrs.tide.timeseries_file ) - self.tide_surge_ts = HistoricalNearshore.read_csv(path) + self.tide_surge_ts = Event.read_csv(path) def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": @@ -111,7 +110,7 @@ def download_wl_data( start_time = datetime.strptime(start_time_str, "%Y%m%d %H%M%S") stop_time = datetime.strptime(stop_time_str, "%Y%m%d %H%M%S") if file is not None: - df_temp = HistoricalNearshore.read_csv(file) + df_temp = Event.read_csv(file) startindex = df_temp.index.get_loc(start_time, method="nearest") stopindex = df_temp.index.get_loc(stop_time, method="nearest") df = df_temp.iloc[startindex:stopindex, :] diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index c1e1fd76b..41a5cec93 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -5,17 +5,16 @@ import pandas as pd from flood_adapt.object_model.hazard.event.event import Event -from flood_adapt.object_model.interface.database import ( - db_path, -) from flood_adapt.object_model.interface.events import ( HistoricalOffshoreModel, - IHistoricalOffshore, +) +from flood_adapt.object_model.interface.path_builder import ( + db_path, ) from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class HistoricalOffshore(IHistoricalOffshore): +class HistoricalOffshore(Event): rain_ts: Optional[pd.DataFrame] = None wind_ts: Optional[pd.DataFrame] = None diff --git a/flood_adapt/object_model/hazard/event/synthetic.py b/flood_adapt/object_model/hazard/event/synthetic.py index cb024b0d4..a9865f096 100644 --- a/flood_adapt/object_model/hazard/event/synthetic.py +++ b/flood_adapt/object_model/hazard/event/synthetic.py @@ -7,12 +7,11 @@ from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.interface.events import ( - ISynthetic, SyntheticModel, ) -class Synthetic(Event, ISynthetic): +class Synthetic(Event): """class for Synthetic event, can only be initialized from a toml file or dictionar using load_file or load_dict.""" attrs: SyntheticModel diff --git a/flood_adapt/object_model/hazard/hazard.py b/flood_adapt/object_model/hazard/hazard.py index 9ed4e0fd8..24119a2ac 100644 --- a/flood_adapt/object_model/hazard/hazard.py +++ b/flood_adapt/object_model/hazard/hazard.py @@ -529,29 +529,17 @@ def preprocess_sfincs( # Add hazard measures if included if self.hazard_strategy.measures is not None: for measure in self.hazard_strategy.measures: - measure_path = self.database.measures.input_path.joinpath( - measure.attrs.name - ) if measure.attrs.type == "floodwall": - self._logger.info( - "Adding floodwall to the overland flood model..." - ) - model.add_floodwall( - floodwall=measure.attrs, measure_path=measure_path - ) + model.add_floodwall(floodwall=measure) if measure.attrs.type == "pump": - model.add_pump(pump=measure.attrs, measure_path=measure_path) + model.add_pump(pump=measure) if ( measure.attrs.type == "greening" or measure.attrs.type == "total_storage" or measure.attrs.type == "water_square" ): - self._logger.info( - "Adding green infrastructure to the overland flood model..." - ) model.add_green_infrastructure( - green_infrastructure=measure.attrs, - measure_path=measure_path, + green_infrastructure=measure, ) # add observation points from site.toml diff --git a/flood_adapt/object_model/hazard/hazard_strategy.py b/flood_adapt/object_model/hazard/hazard_strategy.py index 1f66abc5a..237872455 100644 --- a/flood_adapt/object_model/hazard/hazard_strategy.py +++ b/flood_adapt/object_model/hazard/hazard_strategy.py @@ -1,4 +1,4 @@ -from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure +from flood_adapt.object_model.interface.measures import HazardMeasure class HazardStrategy: diff --git a/flood_adapt/object_model/hazard/measure/floodwall.py b/flood_adapt/object_model/hazard/measure/floodwall.py index 0a76f3f90..ea540b7f0 100644 --- a/flood_adapt/object_model/hazard/measure/floodwall.py +++ b/flood_adapt/object_model/hazard/measure/floodwall.py @@ -4,12 +4,12 @@ from flood_adapt.object_model.interface.measures import ( FloodWallModel, - IFloodWall, + HazardMeasure, ) from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class FloodWall(IFloodWall): +class FloodWall(HazardMeasure[FloodWallModel]): """Subclass of HazardMeasure describing the measure of building a floodwall with a specific height.""" attrs: FloodWallModel diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index 18758c05b..8c445ca55 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -7,7 +7,7 @@ from flood_adapt.object_model.interface.measures import ( GreenInfrastructureModel, - IGreenInfrastructure, + HazardMeasure, ) from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import ( @@ -17,9 +17,11 @@ from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class GreenInfrastructure(IGreenInfrastructure): +class GreenInfrastructure(HazardMeasure[GreenInfrastructureModel]): """Subclass of HazardMeasure describing the measure of urban green infrastructure with a specific storage volume that is calculated based on are, storage height and percentage of area coverage.""" + attrs: GreenInfrastructureModel + def __init__(self, data: dict[str, Any]) -> None: if isinstance(data, GreenInfrastructureModel): self.attrs = data diff --git a/flood_adapt/object_model/hazard/measure/hazard_measure.py b/flood_adapt/object_model/hazard/measure/hazard_measure.py deleted file mode 100644 index ab74e7fdd..000000000 --- a/flood_adapt/object_model/hazard/measure/hazard_measure.py +++ /dev/null @@ -1,7 +0,0 @@ -from flood_adapt.object_model.interface.measures import HazardMeasureModel, IMeasure - - -class HazardMeasure(IMeasure[HazardMeasureModel]): - """HazardMeasure class that holds all the information for a specific measure type that affects the impact model.""" - - attrs: HazardMeasureModel diff --git a/flood_adapt/object_model/hazard/measure/pump.py b/flood_adapt/object_model/hazard/measure/pump.py index 7fec0f015..8264654e1 100644 --- a/flood_adapt/object_model/hazard/measure/pump.py +++ b/flood_adapt/object_model/hazard/measure/pump.py @@ -3,13 +3,13 @@ from typing import Any from flood_adapt.object_model.interface.measures import ( - IPump, + HazardMeasure, PumpModel, ) from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database -class Pump(IPump): +class Pump(HazardMeasure[PumpModel]): """Subclass of HazardMeasure describing the measure of building a floodwall with a specific height.""" attrs: PumpModel diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 4db526029..953644c88 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -1,12 +1,17 @@ +from abc import abstractmethod from enum import Enum -from typing import Optional, TypeVar +from pathlib import Path +from typing import Optional, TypeVar, Union +import numpy as np +import pandas as pd from pydantic import BaseModel from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.interface.path_builder import ( ObjectDir, ) +from flood_adapt.object_model.interface.site import Site from flood_adapt.object_model.io.unitfulvalue import ( UnitfulDirection, UnitfulDischarge, @@ -209,18 +214,37 @@ class IEvent(IObject[EventModelType]): attrs: EventModelType dir_name = ObjectDir.event + @staticmethod + @abstractmethod + def get_template(filepath: Path): ... -class ISynthetic(IEvent[SyntheticModel]): - attrs: SyntheticModel + @staticmethod + @abstractmethod + def get_mode(filepath: Path) -> Mode: ... + @staticmethod + @abstractmethod + def timeseries_shape( + shape_type: str, duration: float, peak: float, **kwargs + ) -> np.ndarray: ... -class IHistoricalNearshore(IEvent[HistoricalNearshoreModel]): - attrs: HistoricalNearshoreModel + @staticmethod + @abstractmethod + def read_csv(csvpath: Union[str, Path]) -> pd.DataFrame: ... + @abstractmethod + def download_meteo(self, site: Site, path: Path): ... -class IHistoricalOffshore(IEvent[HistoricalOffshoreModel]): - attrs: HistoricalOffshoreModel + @abstractmethod + def add_dis_ts( + self, + event_dir: Path, + site_river: list, + input_river_df_list: Optional[list[pd.DataFrame]] = [], + ): ... + @abstractmethod + def add_rainfall_ts(self, **kwargs): ... -class IHistoricalHurricane(IEvent[HistoricalHurricaneModel]): - attrs: HistoricalHurricaneModel + @abstractmethod + def add_wind_ts(self): ... diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 3c19acb7e..7a5cc4bd8 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -73,7 +73,7 @@ class HazardMeasureModel(MeasureModel[HazardType]): polygon_file: Optional[str] = Field( None, min_length=1, - description="Path to a polygon file, relative to the database path.", + description="Path to a polygon file, either absolute or relative to the measure path.", ) @model_validator(mode="after") @@ -220,8 +220,6 @@ def validate_selection_type_values(self) -> "GreenInfrastructureModel": return self -# Can probably remove all of these I-classes and just use the classes directly -# The I-classes are only used to inherit from MeasureModelType = TypeVar("MeasureModelType", bound=MeasureModel) @@ -232,37 +230,55 @@ class IMeasure(IObject[MeasureModelType]): attrs: MeasureModelType -class IElevate(IMeasure[ElevateModel]): - """A class for a FloodAdapt "elevate" measure.""" +HazardMeasureModelType = TypeVar("HazardMeasureModelType", bound=HazardMeasureModel) + + +class HazardMeasure(IMeasure[HazardMeasureModel], Generic[HazardMeasureModelType]): + """HazardMeasure class that holds all the information for a specific measure type that affects the impact model.""" + + attrs: HazardMeasureModel + + +ImpactMeasureModelType = TypeVar("ImpactMeasureModelType", bound=ImpactMeasureModel) + + +class ImpactMeasure(IMeasure[ImpactMeasureModel], Generic[ImpactMeasureModelType]): + """All the information for a specific measure type that affects the impact model.""" + + attrs: ImpactMeasureModel + + +# class IElevate(IMeasure[ElevateModel]): +# """A class for a FloodAdapt "elevate" measure.""" - attrs: ElevateModel +# attrs: ElevateModel -class IBuyout(IMeasure[BuyoutModel]): - """A class for a FloodAdapt "buyout" measure.""" +# class IBuyout(IMeasure[BuyoutModel]): +# """A class for a FloodAdapt "buyout" measure.""" - attrs: BuyoutModel +# attrs: BuyoutModel -class IFloodProof(IMeasure[FloodProofModel]): - """A class for a FloodAdapt "floodproof" measure.""" +# class IFloodProof(IMeasure[FloodProofModel]): +# """A class for a FloodAdapt "floodproof" measure.""" - attrs: FloodProofModel +# attrs: FloodProofModel -class IFloodWall(IMeasure[FloodWallModel]): - """A class for a FloodAdapt "floodwall" measure.""" +# class IFloodWall(IMeasure[FloodWallModel]): +# """A class for a FloodAdapt "floodwall" measure.""" - attrs: FloodWallModel +# attrs: FloodWallModel -class IPump(IMeasure[PumpModel]): - """A class for a FloodAdapt "pump" measure.""" +# class IPump(IMeasure[PumpModel]): +# """A class for a FloodAdapt "pump" measure.""" - attrs: PumpModel +# attrs: PumpModel -class IGreenInfrastructure(IMeasure[GreenInfrastructureModel]): - """A class for a FloodAdapt "green infrastrcutre" measure.""" +# class IGreenInfrastructure(IMeasure[GreenInfrastructureModel]): +# """A class for a FloodAdapt "green infrastrcutre" measure.""" - attrs: GreenInfrastructureModel +# attrs: GreenInfrastructureModel diff --git a/flood_adapt/object_model/strategy.py b/flood_adapt/object_model/strategy.py index f424cc0b6..b6272ca2a 100644 --- a/flood_adapt/object_model/strategy.py +++ b/flood_adapt/object_model/strategy.py @@ -1,10 +1,13 @@ from typing import Any, Union from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy -from flood_adapt.object_model.direct_impact.measure.impact_measure import ImpactMeasure from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy -from flood_adapt.object_model.hazard.measure.hazard_measure import HazardMeasure -from flood_adapt.object_model.interface.measures import HazardType, ImpactType +from flood_adapt.object_model.interface.measures import ( + HazardMeasure, + HazardType, + ImpactMeasure, + ImpactType, +) from flood_adapt.object_model.interface.path_builder import ( ObjectDir, db_path, @@ -18,6 +21,8 @@ class Strategy(IStrategy): """Strategy class that holds all the information for a specific strategy.""" + attrs: StrategyModel + def __init__(self, data: dict[str, Any]) -> None: if isinstance(data, StrategyModel): self.attrs = data diff --git a/tests/test_integrator/test_fiat_adapter.py b/tests/test_integrator/test_fiat_adapter.py index 5a96ff794..d02570137 100644 --- a/tests/test_integrator/test_fiat_adapter.py +++ b/tests/test_integrator/test_fiat_adapter.py @@ -2,7 +2,7 @@ import pytest from pandas.testing import assert_frame_equal -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.path_builder import ( TopLevelDir, db_path, ) diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index ad6199761..8f84b35dc 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -11,11 +11,11 @@ from flood_adapt.object_model.hazard.hazard import Hazard from flood_adapt.object_model.hazard.hazard_strategy import HazardStrategy from flood_adapt.object_model.hazard.physical_projection import PhysicalProjection -from flood_adapt.object_model.interface.database import ( +from flood_adapt.object_model.interface.events import RainfallModel, TideModel +from flood_adapt.object_model.interface.path_builder import ( TopLevelDir, db_path, ) -from flood_adapt.object_model.interface.events import RainfallModel, TideModel from flood_adapt.object_model.interface.site import SCSModel, Site from flood_adapt.object_model.io.unitfulvalue import UnitfulLength from flood_adapt.object_model.scenario import Scenario diff --git a/tests/test_utils.py b/tests/test_utils.py index ebf2eb7d1..2c1c8a84d 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -8,7 +8,7 @@ @pytest.fixture def mock_settings(tmp_path): with mock.patch( - "flood_adapt.object_model.interface.database.Settings" + "flood_adapt.object_model.interface.path_builder.Settings" ) as MockSettings: instance = MockSettings.return_value instance.database_path = tmp_path / "Database" / "test" From 5264ab6f4f1d212babfa5007891ff7a033b257c3 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 22 Oct 2024 14:57:16 +0200 Subject: [PATCH 12/28] temporary fix for until the hazard refactor to prevent trying to read a filename that is None --- .../hazard/event/historical_hurricane.py | 28 +++++++++++++++ .../hazard/event/historical_nearshore.py | 34 ++++++++++++------- .../hazard/event/historical_offshore.py | 33 ++++++++++++------ flood_adapt/object_model/hazard/hazard.py | 3 -- 4 files changed, 72 insertions(+), 26 deletions(-) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 0d99a0203..485ed53dd 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -10,6 +10,7 @@ from flood_adapt.object_model.interface.events import ( HistoricalHurricaneModel, ) +from flood_adapt.object_model.interface.path_builder import db_path class HistoricalHurricane(Event): @@ -38,6 +39,33 @@ def __init__(self, data: dict[str, Any]) -> None: else: self.attrs = HistoricalHurricaneModel.model_validate(data) + if self.attrs.rainfall.source == "timeseries": + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.rainfall.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.rainfall.timeseries_file + ) + self.rain_ts = Event.read_csv(path) + + if self.attrs.wind.source == "timeseries": + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.wind.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.wind.timeseries_file + ) + self.wind_ts = Event.read_csv(path) + + if self.attrs.tide.source == "timeseries": + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.tide.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.tide.timeseries_file + ) + self.tide_surge_ts = Event.read_csv(path) + def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "track" or self.attrs.rainfall.source == "map": from flood_adapt.dbs_controller import Database diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index 17de28db4..a04b29ca2 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -11,7 +11,6 @@ HistoricalNearshoreModel, ) from flood_adapt.object_model.interface.path_builder import ( - TopLevelDir, db_path, ) from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength @@ -31,22 +30,31 @@ def __init__(self, data: dict[str, Any]) -> None: self.attrs = HistoricalNearshoreModel.model_validate(data) if self.attrs.rainfall.source == "timeseries": - path = db_path( - TopLevelDir.input, self.dir_name, self.attrs.rainfall.timeseries_file - ) - self.rain_ts = Event.read_csv(path) + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.rainfall.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.rainfall.timeseries_file + ) + self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": - path = db_path( - TopLevelDir.input, self.dir_name, self.attrs.wind.timeseries_file - ) - self.wind_ts = Event.read_csv(path) + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.wind.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.wind.timeseries_file + ) + self.wind_ts = Event.read_csv(path) if self.attrs.tide.source == "timeseries": - path = db_path( - TopLevelDir.input, self.dir_name, self.attrs.tide.timeseries_file - ) - self.tide_surge_ts = Event.read_csv(path) + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.tide.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.tide.timeseries_file + ) + self.tide_surge_ts = Event.read_csv(path) def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index 41a5cec93..932ad98bf 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -26,18 +26,31 @@ def __init__(self, data: dict[str, Any]): self.attrs = HistoricalOffshoreModel.model_validate(data) if self.attrs.rainfall.source == "timeseries": - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.rainfall.timeseries_file - ) - self.rain_ts = Event.read_csv(path) + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.rainfall.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.rainfall.timeseries_file + ) + self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.wind.timeseries_file - ) - self.wind_ts = Event.read_csv(path) + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.wind.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.wind.timeseries_file + ) + self.wind_ts = Event.read_csv(path) + + if self.attrs.tide.source == "timeseries": + # This is a temporary fix until the Hazard refactor is merged. + if self.attrs.tide.timeseries_file is not None: + path = ( + db_path(object_dir=self.dir_name, obj_name=self.attrs.name) + / self.attrs.tide.timeseries_file + ) + self.tide_surge_ts = Event.read_csv(path) def save_additional(self, toml_path: Path | str | os.PathLike) -> None: if self.attrs.rainfall.source == "timeseries": diff --git a/flood_adapt/object_model/hazard/hazard.py b/flood_adapt/object_model/hazard/hazard.py index 24119a2ac..b45061d17 100644 --- a/flood_adapt/object_model/hazard/hazard.py +++ b/flood_adapt/object_model/hazard/hazard.py @@ -544,9 +544,6 @@ def preprocess_sfincs( # add observation points from site.toml model.add_obs_points() - self._logger.info( - "Adding observation points to the overland flood model..." - ) # write sfincs model in output destination model.write_sfincs_model(path_out=self.simulation_paths[ii]) From 0741ece1c658e4687ba50203871448435662ce08 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 22 Oct 2024 15:59:11 +0200 Subject: [PATCH 13/28] go through PR and fix obvious stuff --- flood_adapt/dbs_classes/dbs_measure.py | 13 ++++--- .../object_model/interface/measures.py | 36 ------------------- .../object_model/interface/path_builder.py | 12 +++---- .../object_model/interface/projections.py | 2 +- flood_adapt/object_model/scenario.py | 1 - flood_adapt/object_model/site.py | 11 ------ tests/test_integrator/test_hazard_run.py | 28 +++++---------- tests/test_integrator/test_sfincs_adapter.py | 1 - tests/test_object_model/test_scenarios.py | 7 +--- tests/test_object_model/test_strategies.py | 4 --- 10 files changed, 22 insertions(+), 93 deletions(-) delete mode 100644 flood_adapt/object_model/site.py diff --git a/flood_adapt/dbs_classes/dbs_measure.py b/flood_adapt/dbs_classes/dbs_measure.py index 4ab05f961..7d90e8651 100644 --- a/flood_adapt/dbs_classes/dbs_measure.py +++ b/flood_adapt/dbs_classes/dbs_measure.py @@ -1,13 +1,11 @@ -from pathlib import Path from typing import Any import geopandas as gpd from flood_adapt.dbs_classes.dbs_template import DbsTemplate from flood_adapt.object_model.interface.measures import IMeasure - -# from flood_adapt.object_model.measure import Measure from flood_adapt.object_model.measure_factory import MeasureFactory +from flood_adapt.object_model.utils import resolve_filepath class DbsMeasure(DbsTemplate): @@ -47,10 +45,11 @@ def list_objects(self) -> dict[str, list[Any]]: for path, obj in zip(measures["path"], objects): # If polygon is used read the polygon file if obj.attrs.polygon_file: - if Path(obj.attrs.polygon_file).exists(): - _path = Path(obj.attrs.polygon_file) - else: - _path = self.input_path / obj.attrs.name / obj.attrs.polygon_file + _path = resolve_filepath( + object_dir=self._object_class.dir_name, + obj_name=obj.attrs.name, + file_name=obj.attrs.polygon_file, + ) geometries.append(gpd.read_file(_path)) # If aggregation area is used read the polygon from the aggregation area name elif obj.attrs.aggregation_area_name: diff --git a/flood_adapt/object_model/interface/measures.py b/flood_adapt/object_model/interface/measures.py index 7a5cc4bd8..172d0a31b 100644 --- a/flood_adapt/object_model/interface/measures.py +++ b/flood_adapt/object_model/interface/measures.py @@ -246,39 +246,3 @@ class ImpactMeasure(IMeasure[ImpactMeasureModel], Generic[ImpactMeasureModelType """All the information for a specific measure type that affects the impact model.""" attrs: ImpactMeasureModel - - -# class IElevate(IMeasure[ElevateModel]): -# """A class for a FloodAdapt "elevate" measure.""" - -# attrs: ElevateModel - - -# class IBuyout(IMeasure[BuyoutModel]): -# """A class for a FloodAdapt "buyout" measure.""" - -# attrs: BuyoutModel - - -# class IFloodProof(IMeasure[FloodProofModel]): -# """A class for a FloodAdapt "floodproof" measure.""" - -# attrs: FloodProofModel - - -# class IFloodWall(IMeasure[FloodWallModel]): -# """A class for a FloodAdapt "floodwall" measure.""" - -# attrs: FloodWallModel - - -# class IPump(IMeasure[PumpModel]): -# """A class for a FloodAdapt "pump" measure.""" - -# attrs: PumpModel - - -# class IGreenInfrastructure(IMeasure[GreenInfrastructureModel]): -# """A class for a FloodAdapt "green infrastrcutre" measure.""" - -# attrs: GreenInfrastructureModel diff --git a/flood_adapt/object_model/interface/path_builder.py b/flood_adapt/object_model/interface/path_builder.py index f605ee1df..b7f984fbc 100644 --- a/flood_adapt/object_model/interface/path_builder.py +++ b/flood_adapt/object_model/interface/path_builder.py @@ -26,12 +26,12 @@ class ObjectDir(str, Enum): projection = "projections" scenario = "scenarios" - buyout = "measures" - elevate = "measures" - floodproof = "measures" - greening = "measures" - floodwall = "measures" - pump = "measures" + # buyout = "measures" + # elevate = "measures" + # floodproof = "measures" + # greening = "measures" + # floodwall = "measures" + # pump = "measures" def db_path( diff --git a/flood_adapt/object_model/interface/projections.py b/flood_adapt/object_model/interface/projections.py index 37c05648a..fd9c17329 100644 --- a/flood_adapt/object_model/interface/projections.py +++ b/flood_adapt/object_model/interface/projections.py @@ -39,5 +39,5 @@ class ProjectionModel(IObjectModel): class IProjection(IObject[ProjectionModel]): - attrs = ProjectionModel + attrs: ProjectionModel dir_name = ObjectDir.projection diff --git a/flood_adapt/object_model/scenario.py b/flood_adapt/object_model/scenario.py index ce871dc0e..ebb79ff12 100644 --- a/flood_adapt/object_model/scenario.py +++ b/flood_adapt/object_model/scenario.py @@ -41,7 +41,6 @@ def __init__(self, data: dict[str, Any]) -> None: def run(self): """Run direct impact models for the scenario.""" - # self.init_object_model() os.makedirs(self.results_path, exist_ok=True) # Initiate the logger for all the integrator scripts. diff --git a/flood_adapt/object_model/site.py b/flood_adapt/object_model/site.py deleted file mode 100644 index 158cb3890..000000000 --- a/flood_adapt/object_model/site.py +++ /dev/null @@ -1,11 +0,0 @@ -# from typing import Any -# from flood_adapt.object_model.interface.site import Site -# , SiteModel - -# TODO Remove this class if no additional variables are needed for the site. -# class Site(Site): -# """Class for general variables of the object_model.""" -# attrs: SiteModel - -# def __init__(self, data: dict[str, Any]) -> None: -# super().__init__(data) diff --git a/tests/test_integrator/test_hazard_run.py b/tests/test_integrator/test_hazard_run.py index 62038796a..a453618f7 100644 --- a/tests/test_integrator/test_hazard_run.py +++ b/tests/test_integrator/test_hazard_run.py @@ -39,7 +39,7 @@ def test_scenarios(test_db): # @pytest.mark.skip(reason="running the model takes long") def test_hazard_preprocess_synthetic_wl(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # # test_scenario.init_object_model() + test_scenario.direct_impacts.hazard.preprocess_models() fn_bc = ( @@ -75,7 +75,6 @@ def test_hazard_preprocess_synthetic_wl(test_db, test_scenarios): def test_hazard_preprocess_synthetic_discharge(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.attrs.name = f"{test_scenario.attrs.name}_2" @@ -99,8 +98,6 @@ def test_preprocess_rainfall_timeseriesfile(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] event_path = test_db.input_path / "events" / "extreme12ft" - # test_scenario.init_object_model() - hazard = test_scenario.direct_impacts.hazard hazard.event.attrs.rainfall.source = "timeseries" hazard.event.attrs.rainfall.timeseries_file = "rainfall.csv" @@ -129,7 +126,6 @@ def test_preprocess_pump(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "pump" test_scenario.attrs.name = test_scenario.attrs.name.replace("no_measures", "pump") - # test_scenario.init_object_model() hazard = test_scenario.direct_impacts.hazard @@ -148,7 +144,7 @@ def test_preprocess_greenInfra(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "greeninfra" - # test_scenario.init_object_model() + assert isinstance( test_scenario.direct_impacts.hazard.hazard_strategy.measures[0], GreenInfrastructure, @@ -169,7 +165,7 @@ def test_preprocess_greenInfra_aggr_area(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.strategy = "total_storage_aggregation_area" - # test_scenario.init_object_model() + assert isinstance( test_scenario.direct_impacts.hazard.hazard_strategy.measures[0], GreenInfrastructure, @@ -181,7 +177,6 @@ def test_preprocess_greenInfra_aggr_area(test_scenarios): def test_write_floodmap_geotiff(test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.direct_impacts.hazard.run_models() test_scenario.direct_impacts.hazard.postprocess_models() @@ -195,7 +190,7 @@ def test_write_floodmap_geotiff(test_scenarios): @pytest.mark.skip(reason="Fails in CICD. REFACTOR HAZARD!") def test_preprocess_prob_eventset(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() + test_scenario.direct_impacts.hazard.preprocess_models() bzs_file1 = ( @@ -230,7 +225,7 @@ def test_preprocess_rainfall_increase(test_db, test_scenarios): test_scenario: Scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.projection = "SLR_2ft" test_scenario.attrs.name = "SLR_2ft_test_set_no_measures" - # test_scenario.init_object_model() + slr = test_scenario.direct_impacts.hazard.physical_projection.attrs.sea_level_rise test_scenario.direct_impacts.hazard.preprocess_models() @@ -264,7 +259,7 @@ def test_preprocess_rainfall_increase(test_db, test_scenarios): def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] test_scenario.attrs.name = "current_extreme12ft_precip_no_measures" - # test_scenario.init_object_model() + test_scenario.direct_impacts.hazard.event.attrs.rainfall.source = "shape" test_scenario.direct_impacts.hazard.event.attrs.rainfall.shape_type = "block" test_scenario.direct_impacts.hazard.event.attrs.rainfall.cumulative = ( @@ -288,7 +283,7 @@ def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): cum_precip1 = df1.sum()[1] test_scenario.attrs.name = "current_extreme12ft_precip_rainfall_incr_no_measures" - # test_scenario.init_object_model() + test_scenario.direct_impacts.hazard.event.attrs.rainfall.source = "shape" test_scenario.direct_impacts.hazard.event.attrs.rainfall.shape_type = "block" test_scenario.direct_impacts.hazard.event.attrs.rainfall.cumulative = ( @@ -320,7 +315,7 @@ def test_preprocess_rainfall_increase_alternate(test_db, test_scenarios): @pytest.mark.skip(reason="Running models takes a couple of minutes") def test_run_prob_eventset(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() + test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.direct_impacts.hazard.run_models() zs_file1 = ( @@ -353,7 +348,6 @@ def test_run_prob_eventset(test_db, test_scenarios): def test_rp_floodmap_calculation(test_db, test_scenarios): test_scenario = test_scenarios["current_test_set_no_measures.toml"] - # test_scenario.init_object_model() test_scenario.direct_impacts.hazard.calculate_rp_floodmaps() nc_file = ( test_db.output_path @@ -418,8 +412,6 @@ def test_rp_floodmap_calculation(test_db, test_scenarios): def test_multiple_rivers(test_db, test_scenarios): test_scenario: Scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() - # Add an extra river test_scenario.direct_impacts.hazard.event.attrs.river.append( test_scenario.direct_impacts.hazard.event.attrs.river[0].copy() @@ -505,8 +497,6 @@ def test_multiple_rivers(test_db, test_scenarios): def test_no_rivers(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() - # Overwrite river data of Event test_scenario.direct_impacts.hazard.event.attrs.river = [] @@ -543,8 +533,6 @@ def test_no_rivers(test_db, test_scenarios): def test_plot_wl_obs(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() - # Preprocess the models test_scenario.direct_impacts.hazard.preprocess_models() test_scenario.direct_impacts.hazard.run_models() diff --git a/tests/test_integrator/test_sfincs_adapter.py b/tests/test_integrator/test_sfincs_adapter.py index 69ca57c6c..c572c0d19 100644 --- a/tests/test_integrator/test_sfincs_adapter.py +++ b/tests/test_integrator/test_sfincs_adapter.py @@ -25,7 +25,6 @@ def test_scenarios(test_db): def test_add_obs_points(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() path_in = ( test_db.static_path / "templates" diff --git a/tests/test_object_model/test_scenarios.py b/tests/test_object_model/test_scenarios.py index 8f84b35dc..2d0e06c10 100644 --- a/tests/test_object_model/test_scenarios.py +++ b/tests/test_object_model/test_scenarios.py @@ -47,8 +47,6 @@ def test_scenarios(test_db, test_tomls) -> dict[str, Scenario]: def test_initObjectModel_validInput(test_db, test_scenarios): test_scenario = test_scenarios["all_projections_extreme12ft_strategy_comb.toml"] - # test_scenario.init_object_model() - assert isinstance(test_scenario.site_info, Site) assert isinstance(test_scenario.direct_impacts, DirectImpacts) assert isinstance( @@ -67,7 +65,6 @@ def test_initObjectModel_validInput(test_db, test_scenarios): def test_hazard_load(test_db, test_scenarios): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) assert event.attrs.timing == "idealized" @@ -78,8 +75,6 @@ def test_hazard_load(test_db, test_scenarios): def test_scs_rainfall(test_db: Database, test_scenarios: dict[str, Scenario]): test_scenario = test_scenarios["current_extreme12ft_no_measures.toml"] - # test_scenario.init_object_model() - event = test_db.events.get(test_scenario.direct_impacts.hazard.event_name) event.attrs.rainfall = RainfallModel( @@ -153,5 +148,5 @@ def test_infographic(self, test_db): # use event template to get the associated Event child class test_scenario = Scenario.load_file(test_toml) - # test_scenario.init_object_model() + test_scenario.infographic() diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index 92046d87c..6cf7cfbec 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -82,10 +82,6 @@ def test_green_infra(test_db): strategy = Strategy.load_file(test_toml) - print(strategy) - print(strategy.attrs) - print(strategy.get_hazard_strategy()) - print(strategy.get_hazard_strategy().measures) assert strategy.attrs.name == "greeninfra" assert isinstance(strategy.attrs.measures, list) assert isinstance(strategy.get_hazard_strategy().measures[0], GreenInfrastructure) From 33b749890413e658a7ef65961bb9f68c39809966 Mon Sep 17 00:00:00 2001 From: Panos Athanasiou Date: Tue, 29 Oct 2024 16:43:14 +0100 Subject: [PATCH 14/28] corrected small bug when calling the resolve_filepath method --- flood_adapt/dbs_classes/dbs_measure.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flood_adapt/dbs_classes/dbs_measure.py b/flood_adapt/dbs_classes/dbs_measure.py index 7d90e8651..d8d1a479e 100644 --- a/flood_adapt/dbs_classes/dbs_measure.py +++ b/flood_adapt/dbs_classes/dbs_measure.py @@ -48,7 +48,7 @@ def list_objects(self) -> dict[str, list[Any]]: _path = resolve_filepath( object_dir=self._object_class.dir_name, obj_name=obj.attrs.name, - file_name=obj.attrs.polygon_file, + path=obj.attrs.polygon_file, ) geometries.append(gpd.read_file(_path)) # If aggregation area is used read the polygon from the aggregation area name From 658a3e6eea38012b4f1c4fb5236988188966fe5b Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Wed, 30 Oct 2024 12:02:02 +0100 Subject: [PATCH 15/28] fix file handling for events --- flood_adapt/dbs_classes/dbs_measure.py | 6 ++-- .../hazard/event/historical_hurricane.py | 34 +++++++++++------- .../hazard/event/historical_nearshore.py | 35 +++++++++++-------- .../hazard/event/historical_offshore.py | 35 +++++++++++-------- 4 files changed, 64 insertions(+), 46 deletions(-) diff --git a/flood_adapt/dbs_classes/dbs_measure.py b/flood_adapt/dbs_classes/dbs_measure.py index 7d90e8651..7402ebd0b 100644 --- a/flood_adapt/dbs_classes/dbs_measure.py +++ b/flood_adapt/dbs_classes/dbs_measure.py @@ -45,12 +45,12 @@ def list_objects(self) -> dict[str, list[Any]]: for path, obj in zip(measures["path"], objects): # If polygon is used read the polygon file if obj.attrs.polygon_file: - _path = resolve_filepath( + src_path = resolve_filepath( object_dir=self._object_class.dir_name, obj_name=obj.attrs.name, - file_name=obj.attrs.polygon_file, + path=obj.attrs.polygon_file, ) - geometries.append(gpd.read_file(_path)) + geometries.append(gpd.read_file(src_path)) # If aggregation area is used read the polygon from the aggregation area name elif obj.attrs.aggregation_area_name: if ( diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 485ed53dd..e20805732 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -10,7 +10,7 @@ from flood_adapt.object_model.interface.events import ( HistoricalHurricaneModel, ) -from flood_adapt.object_model.interface.path_builder import db_path +from flood_adapt.object_model.utils import resolve_filepath class HistoricalHurricane(Event): @@ -39,30 +39,38 @@ def __init__(self, data: dict[str, Any]) -> None: else: self.attrs = HistoricalHurricaneModel.model_validate(data) + # Temporary fix until the Hazard refactor is merged. + # Dont try to load the timeseries data if the object is the default object since that has fake files. + if self.attrs.name == "default": + return + if self.attrs.rainfall.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.rainfall.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.rainfall.timeseries_file + if self.attrs.rainfall.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.rainfall.timeseries_file, ) self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.wind.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.wind.timeseries_file + if self.attrs.wind.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.wind.timeseries_file, ) self.wind_ts = Event.read_csv(path) if self.attrs.tide.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.tide.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.tide.timeseries_file + if self.attrs.tide.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.tide.timeseries_file, ) self.tide_surge_ts = Event.read_csv(path) diff --git a/flood_adapt/object_model/hazard/event/historical_nearshore.py b/flood_adapt/object_model/hazard/event/historical_nearshore.py index a04b29ca2..acad392e4 100644 --- a/flood_adapt/object_model/hazard/event/historical_nearshore.py +++ b/flood_adapt/object_model/hazard/event/historical_nearshore.py @@ -10,9 +10,6 @@ from flood_adapt.object_model.interface.events import ( HistoricalNearshoreModel, ) -from flood_adapt.object_model.interface.path_builder import ( - db_path, -) from flood_adapt.object_model.io.unitfulvalue import UnitfulLength, UnitTypesLength from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database @@ -29,30 +26,38 @@ def __init__(self, data: dict[str, Any]) -> None: else: self.attrs = HistoricalNearshoreModel.model_validate(data) + # Temporary fix until the Hazard refactor is merged. + # Dont try to load the timeseries data if the object is the default object since that has fake files. + if self.attrs.name == "default": + return + if self.attrs.rainfall.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.rainfall.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.rainfall.timeseries_file + if self.attrs.rainfall.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.rainfall.timeseries_file, ) self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.wind.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.wind.timeseries_file + if self.attrs.wind.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.wind.timeseries_file, ) self.wind_ts = Event.read_csv(path) if self.attrs.tide.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.tide.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.tide.timeseries_file + if self.attrs.tide.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.tide.timeseries_file, ) self.tide_surge_ts = Event.read_csv(path) diff --git a/flood_adapt/object_model/hazard/event/historical_offshore.py b/flood_adapt/object_model/hazard/event/historical_offshore.py index 932ad98bf..5dec6253e 100644 --- a/flood_adapt/object_model/hazard/event/historical_offshore.py +++ b/flood_adapt/object_model/hazard/event/historical_offshore.py @@ -8,9 +8,6 @@ from flood_adapt.object_model.interface.events import ( HistoricalOffshoreModel, ) -from flood_adapt.object_model.interface.path_builder import ( - db_path, -) from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database @@ -25,30 +22,38 @@ def __init__(self, data: dict[str, Any]): else: self.attrs = HistoricalOffshoreModel.model_validate(data) + # Temporary fix until the Hazard refactor is merged. + # Dont try to load the timeseries data if the object is the default object since that has fake files. + if self.attrs.name == "default": + return + if self.attrs.rainfall.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.rainfall.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.rainfall.timeseries_file + if self.attrs.rainfall.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.rainfall.timeseries_file, ) self.rain_ts = Event.read_csv(path) if self.attrs.wind.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.wind.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.wind.timeseries_file + if self.attrs.wind.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.wind.timeseries_file, ) self.wind_ts = Event.read_csv(path) if self.attrs.tide.source == "timeseries": # This is a temporary fix until the Hazard refactor is merged. - if self.attrs.tide.timeseries_file is not None: - path = ( - db_path(object_dir=self.dir_name, obj_name=self.attrs.name) - / self.attrs.tide.timeseries_file + if self.attrs.tide.timeseries_file: + path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.tide.timeseries_file, ) self.tide_surge_ts = Event.read_csv(path) From 3c92acc794d1ff1f689f24e53db11e36691141e7 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Wed, 30 Oct 2024 12:03:34 +0100 Subject: [PATCH 16/28] remove obsolete api func --- tests/test_api/test_events.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/test_api/test_events.py b/tests/test_api/test_events.py index 34635f810..71a75881d 100644 --- a/tests/test_api/test_events.py +++ b/tests/test_api/test_events.py @@ -58,20 +58,20 @@ def test_create_synthetic_event_invalid_dict(test_db, test_dict): def test_save_synthetic_event_already_exists(test_db, test_dict): event = api_events.create_synthetic_event(test_dict) if test_dict["name"] not in api_events.get_events()["name"]: - api_events.save_event_toml(event) + api_events.save_event(event) with pytest.raises(ValueError): - api_events.save_event_toml(event) + api_events.save_event(event) # TODO assert error msg -def test_save_event_toml_valid(test_db, test_dict): +def test_save_event_valid(test_db, test_dict): # Change name to something new test_dict["name"] = "testNew" event = api_events.create_synthetic_event(test_dict) if test_dict["name"] in api_events.get_events()["name"]: api_events.delete_event(test_dict["name"]) - api_events.save_event_toml(event) + api_events.save_event(event) # TODO assert event attrs From ea23e7794cb44c422d927854eeae8d42d35da05c Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Wed, 30 Oct 2024 12:13:47 +0100 Subject: [PATCH 17/28] remove duplicate api func --- flood_adapt/api/events.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index 068811115..556319464 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -100,10 +100,6 @@ def save_event(event: IEvent) -> None: Database().events.save(event) -def save_event_toml(event: IEvent) -> None: - Database().events.save(event) - - def save_timeseries_csv(name: str, event: IEvent, df: pd.DataFrame) -> None: Database().write_to_csv(name, event, df) From f0ce9f226d128df866b4d391797be70ca8a1141f Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Thu, 31 Oct 2024 16:42:20 +0100 Subject: [PATCH 18/28] filter invalid datetime from index to stop errors in hydromt-sfincs --- flood_adapt/object_model/hazard/event/event.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/flood_adapt/object_model/hazard/event/event.py b/flood_adapt/object_model/hazard/event/event.py index 77cdf9b08..08ded4687 100644 --- a/flood_adapt/object_model/hazard/event/event.py +++ b/flood_adapt/object_model/hazard/event/event.py @@ -145,6 +145,14 @@ def read_csv(csvpath: Union[str, Path]) -> pd.DataFrame: infer_datetime_format=True, ) df.index.names = ["time"] + + # Filter out rows with invalid dates + dt_index = pd.to_datetime(df.index, errors="coerce") + valid_index = dt_index.notna() + + df = df[valid_index] + df.index = dt_index[valid_index] + return df def download_meteo(self, site: Site, path: Path): From 2b6e0a3d283dcd6e7b477827f20773247ec12261 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 1 Nov 2024 10:06:00 +0100 Subject: [PATCH 19/28] move validation of overlapping measures to the save function of dbs_strategy --- flood_adapt/dbs_classes/dbs_strategy.py | 87 +++++++++++++++++++++++++ 1 file changed, 87 insertions(+) diff --git a/flood_adapt/dbs_classes/dbs_strategy.py b/flood_adapt/dbs_classes/dbs_strategy.py index ff4df0d3d..eca12083e 100644 --- a/flood_adapt/dbs_classes/dbs_strategy.py +++ b/flood_adapt/dbs_classes/dbs_strategy.py @@ -1,10 +1,97 @@ +from itertools import combinations + from flood_adapt.dbs_classes.dbs_template import DbsTemplate +from flood_adapt.object_model.direct_impact.measure.measure_helpers import ( + get_object_ids, +) +from flood_adapt.object_model.interface.object_model import IObject from flood_adapt.object_model.strategy import Strategy class DbsStrategy(DbsTemplate): _object_class = Strategy + def save( + self, + object_model: IObject, + overwrite: bool = False, + ): + """Save an object in the database and all associated files. + + This saves the toml file and any additional files attached to the object. + + Parameters + ---------- + object_model : ObjectModel + object to be saved in the database + overwrite : bool, optional + whether to overwrite the object if it already exists in the + database, by default False + + Raises + ------ + ValueError + Raise error if name is already in use. + """ + object_exists = object_model.attrs.name in self.list_objects()["name"] + + # If you want to overwrite the object, and the object already exists, first delete it. If it exists and you + # don't want to overwrite, raise an error. + if overwrite and object_exists: + self.delete(object_model.attrs.name, toml_only=True) + elif not overwrite and object_exists: + raise ValueError( + f"'{object_model.attrs.name}' name is already used by another {self._object_class.class_name}. Choose a different name" + ) + + # Check if any measures overlap + self._check_overlapping_measures(object_model) + + # If the folder doesnt exist yet, make the folder and save the object + if not (self.input_path / object_model.attrs.name).exists(): + (self.input_path / object_model.attrs.name).mkdir() + + # Save the object and any additional files + object_model.save( + self.input_path + / object_model.attrs.name + / f"{object_model.attrs.name}.toml", + ) + + def _check_overlapping_measures(self, strategy: IObject): + """Validate if the combination of impact measures can happen, since impact measures cannot affect the same properties. + + Raises + ------ + ValueError + information on which combinations of measures have overlapping properties + """ + # Get ids of objects affected for each measure + ids = [get_object_ids(measure) for measure in strategy.attrs.measures] + + # Get all possible pairs of measures and check overlapping buildings for each measure + combs = list(combinations(enumerate(ids), 2)) + common_elements = [] + for comb in combs: + common_elements.append(list(set(comb[0][1]).intersection(comb[1][1]))) + # If there is any combination with overlapping buildings raise Error and do not allow for Strategy object creation + overlapping = [len(k) > 0 for k in common_elements] + + msg = "" + if any(overlapping): + msg = "Cannot create strategy! There are overlapping buildings for which measures are proposed" + counter = 0 + for i, comb in enumerate(combs): + if overlapping[i]: + if counter > 0: + msg += " and" + msg += " between '{}' and '{}'".format( + strategy.attrs.measures[comb[0][0]].attrs.name, + strategy.attrs.measures[comb[1][0]].attrs.name, + ) + counter += 1 + raise ValueError(msg) + def _check_standard_objects(self, name: str) -> bool: """Check if a strategy is a standard strategy. From 1b49e25e0689d47cfac35ad70b4a858a2f71312c Mon Sep 17 00:00:00 2001 From: Panos Athanasiou Date: Fri, 1 Nov 2024 11:11:41 +0100 Subject: [PATCH 20/28] make sure that shapefiles can correctly be imported to the database --- flood_adapt/object_model/utils.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/flood_adapt/object_model/utils.py b/flood_adapt/object_model/utils.py index 1c5b49be2..b9818469f 100644 --- a/flood_adapt/object_model/utils.py +++ b/flood_adapt/object_model/utils.py @@ -97,13 +97,20 @@ def save_file_to_database( raise FileNotFoundError( f"Failed to find {src_file} when saving external file to the database as it does not exist." ) - if src_file == dst_file: return dst_file elif dst_file.exists(): - os.remove(dst_file) + if dst_file.suffix == ".shp": + for file in list(dst_file.parent.glob(f"{dst_file.stem}.*")): + os.remove(file) + else: + os.remove(dst_file) dst_file.parent.mkdir(parents=True, exist_ok=True) - shutil.copy2(src_file, dst_file) + if src_file.suffix == ".shp": + for file in list(src_file.parent.glob(f"{src_file.stem}.*")): + shutil.copy2(file, dst_file.parent.joinpath(file.name)) + else: + shutil.copy2(src_file, dst_file) return dst_file From 900f772a8baaac5db19ad8864d591afcefe709f6 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 1 Nov 2024 11:12:39 +0100 Subject: [PATCH 21/28] added overlapping measures check to dbs_strategy --- flood_adapt/dbs_classes/dbs_strategy.py | 21 +++++---- tests/test_object_model/test_strategies.py | 55 +++++++++++++++++++++- 2 files changed, 67 insertions(+), 9 deletions(-) diff --git a/flood_adapt/dbs_classes/dbs_strategy.py b/flood_adapt/dbs_classes/dbs_strategy.py index eca12083e..dd1913658 100644 --- a/flood_adapt/dbs_classes/dbs_strategy.py +++ b/flood_adapt/dbs_classes/dbs_strategy.py @@ -4,7 +4,7 @@ from flood_adapt.object_model.direct_impact.measure.measure_helpers import ( get_object_ids, ) -from flood_adapt.object_model.interface.object_model import IObject +from flood_adapt.object_model.measure import ImpactType from flood_adapt.object_model.strategy import Strategy @@ -13,7 +13,7 @@ class DbsStrategy(DbsTemplate): def save( self, - object_model: IObject, + object_model: Strategy, overwrite: bool = False, ): """Save an object in the database and all associated files. @@ -45,7 +45,7 @@ def save( ) # Check if any measures overlap - self._check_overlapping_measures(object_model) + self._check_overlapping_measures(object_model.attrs.measures) # If the folder doesnt exist yet, make the folder and save the object if not (self.input_path / object_model.attrs.name).exists(): @@ -58,7 +58,7 @@ def save( / f"{object_model.attrs.name}.toml", ) - def _check_overlapping_measures(self, strategy: IObject): + def _check_overlapping_measures(self, measures: list[str]): """Validate if the combination of impact measures can happen, since impact measures cannot affect the same properties. Raises @@ -66,8 +66,13 @@ def _check_overlapping_measures(self, strategy: IObject): ValueError information on which combinations of measures have overlapping properties """ - # Get ids of objects affected for each measure - ids = [get_object_ids(measure) for measure in strategy.attrs.measures] + _measures = [self._database.measures.get(measure) for measure in measures] + impact_measures = [ + measure + for measure in _measures + if isinstance(measure.attrs.type, ImpactType) + ] + ids = [get_object_ids(measure) for measure in impact_measures] # Get all possible pairs of measures and check overlapping buildings for each measure combs = list(combinations(enumerate(ids), 2)) @@ -86,8 +91,8 @@ def _check_overlapping_measures(self, strategy: IObject): if counter > 0: msg += " and" msg += " between '{}' and '{}'".format( - strategy.attrs.measures[comb[0][0]].attrs.name, - strategy.attrs.measures[comb[1][0]].attrs.name, + impact_measures[comb[0][0]].attrs.name, + impact_measures[comb[1][0]].attrs.name, ) counter += 1 raise ValueError(msg) diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index 6cf7cfbec..d759d0f95 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -1,3 +1,5 @@ +from unittest.mock import patch + import pytest from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy @@ -9,7 +11,11 @@ from flood_adapt.object_model.hazard.measure.green_infrastructure import ( GreenInfrastructure, ) -from flood_adapt.object_model.interface.measures import HazardType, ImpactType +from flood_adapt.object_model.interface.measures import ( + HazardType, + ImpactType, + SelectionType, +) from flood_adapt.object_model.strategy import Strategy @@ -87,3 +93,50 @@ def test_green_infra(test_db): assert isinstance(strategy.get_hazard_strategy().measures[0], GreenInfrastructure) assert isinstance(strategy.get_hazard_strategy().measures[1], GreenInfrastructure) assert isinstance(strategy.get_hazard_strategy().measures[2], GreenInfrastructure) + + +@pytest.fixture() +def test_buyoutmodel(test_data_dir): + return + + +@pytest.fixture() +def setup_strategy_with_overlapping_measures(test_db, test_data_dir, test_buyoutmodel): + measures = [] + for i in range(1, 4): + attrs = { + "name": f"test_buyout{i}", + "description": "test_buyout", + "type": ImpactType.buyout_properties, + "selection_type": SelectionType.polygon, + "property_type": "RES", + "polygon_file": str(test_data_dir / "polygon.geojson"), + } + test_buyout = Buyout(attrs) + + measures.append(test_buyout.attrs.name) + print(test_buyout.attrs.polygon_file) + test_db.measures.save(test_buyout) + + strategy_model = { + "name": "test_strategy", + "description": "test_strategy", + "measures": measures, + } + return test_db, Strategy(strategy_model) + + +@patch("flood_adapt.dbs_classes.dbs_strategy.get_object_ids") +def test_check_overlapping_measures( + mock_get_object_ids, setup_strategy_with_overlapping_measures +): + test_db, strategy = setup_strategy_with_overlapping_measures + mock_get_object_ids.return_value = [1, 2, 3] + + with pytest.raises(ValueError) as excinfo: + test_db.strategies._check_overlapping_measures(strategy.attrs.measures) + + assert ( + "Cannot create strategy! There are overlapping buildings for which measures are proposed" + in str(excinfo.value) + ) From 5c00c24abcd777d4832f4a9f34fe3a3e41b13a9a Mon Sep 17 00:00:00 2001 From: Panos Athanasiou Date: Fri, 1 Nov 2024 11:31:01 +0100 Subject: [PATCH 22/28] api correction --- flood_adapt/api/strategies.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flood_adapt/api/strategies.py b/flood_adapt/api/strategies.py index 09332c6a6..92f31bb5a 100644 --- a/flood_adapt/api/strategies.py +++ b/flood_adapt/api/strategies.py @@ -15,7 +15,7 @@ def get_strategy(name: str) -> IStrategy: def create_strategy(attrs: dict[str, Any]) -> IStrategy: - return Strategy.load_dict(attrs, Database().input_path) + return Strategy.load_dict(attrs) def save_strategy(strategy: IStrategy) -> None: From ac15f72c3f10c68ca487c33ae9b972404408a987 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 1 Nov 2024 11:59:51 +0100 Subject: [PATCH 23/28] instead of saving the name, also save the index in the cyc_db as there can be duplicate names. --- .../object_model/hazard/event/historical_hurricane.py | 8 ++------ flood_adapt/object_model/interface/events.py | 3 ++- tests/test_object_model/test_strategies.py | 1 - 3 files changed, 4 insertions(+), 8 deletions(-) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index e20805732..9c126baf0 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -80,12 +80,8 @@ def save_additional(self, toml_path: Path | str | os.PathLike) -> None: # @gundula is this the correct way to handle this? # Should we save .cyc AND/ OR .spw files? - ind = ( - Database() - .cyclone_track_database.list_names() - .index(self.attrs.track_name) - ) - track = Database().cyclone_track_database.get_track(ind) + + track = Database().cyclone_track_database.get_track(self.attrs.track_index) self.write_cyc(Path(toml_path).parent, track) def make_spw_file(self, event_path: Path, model_dir: Path): diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 953644c88..616287916 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd -from pydantic import BaseModel +from pydantic import BaseModel, Field from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.interface.path_builder import ( @@ -205,6 +205,7 @@ class HistoricalHurricaneModel(EventModel): hurricane_translation: TranslationModel track_name: str + track_index: int = Field(None, ge=0) EventModelType = TypeVar("EventModelType", bound=EventModel) diff --git a/tests/test_object_model/test_strategies.py b/tests/test_object_model/test_strategies.py index d759d0f95..43cf29866 100644 --- a/tests/test_object_model/test_strategies.py +++ b/tests/test_object_model/test_strategies.py @@ -115,7 +115,6 @@ def setup_strategy_with_overlapping_measures(test_db, test_data_dir, test_buyout test_buyout = Buyout(attrs) measures.append(test_buyout.attrs.name) - print(test_buyout.attrs.polygon_file) test_db.measures.save(test_buyout) strategy_model = { From a186cd4a1ec970a8dd7f55799373ef702325fd6e Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 1 Nov 2024 14:33:11 +0100 Subject: [PATCH 24/28] hurricanes events expect either a .cyc file in the same dir as the toml, or that the user sets the cyc_file attribute to the path of their own .cyc file. --- flood_adapt/api/events.py | 4 ++ .../hazard/event/historical_hurricane.py | 55 ++++++++++++++++--- flood_adapt/object_model/interface/events.py | 10 +++- 3 files changed, 58 insertions(+), 11 deletions(-) diff --git a/flood_adapt/api/events.py b/flood_adapt/api/events.py index 556319464..5fc31f16f 100644 --- a/flood_adapt/api/events.py +++ b/flood_adapt/api/events.py @@ -149,3 +149,7 @@ def plot_wind(event: IEvent, input_wind_df: pd.DataFrame = None) -> str: def save_cyclone_track(event: IEvent, track: TropicalCyclone): Database().write_cyc(event, track) + + +def get_cyclone_track_by_index(index: int) -> TropicalCyclone: + return Database().cyclone_track_database.get_track(index) diff --git a/flood_adapt/object_model/hazard/event/historical_hurricane.py b/flood_adapt/object_model/hazard/event/historical_hurricane.py index 9c126baf0..56aa12bb3 100644 --- a/flood_adapt/object_model/hazard/event/historical_hurricane.py +++ b/flood_adapt/object_model/hazard/event/historical_hurricane.py @@ -10,7 +10,7 @@ from flood_adapt.object_model.interface.events import ( HistoricalHurricaneModel, ) -from flood_adapt.object_model.utils import resolve_filepath +from flood_adapt.object_model.utils import resolve_filepath, save_file_to_database class HistoricalHurricane(Event): @@ -75,14 +75,50 @@ def __init__(self, data: dict[str, Any]) -> None: self.tide_surge_ts = Event.read_csv(path) def save_additional(self, toml_path: Path | str | os.PathLike) -> None: - if self.attrs.rainfall.source == "track" or self.attrs.rainfall.source == "map": - from flood_adapt.dbs_controller import Database - - # @gundula is this the correct way to handle this? - # Should we save .cyc AND/ OR .spw files? + # Load the track from the (possibly external) .cyc file + src_path = resolve_filepath( + object_dir=self.dir_name, + obj_name=self.attrs.name, + path=self.attrs.cyc_file, + ) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.cyc_file = path.name - track = Database().cyclone_track_database.get_track(self.attrs.track_index) - self.write_cyc(Path(toml_path).parent, track) + if self.attrs.rainfall: + if self.attrs.rainfall.source == "timeseries": + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.rainfall.timeseries_file + ) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.rainfall.timeseries_file = path.name + if self.attrs.wind: + if self.attrs.wind.source == "timeseries": + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.wind.timeseries_file + ) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.wind.timeseries_file = path.name + + if self.attrs.river: + for river in self.attrs.river: + if river.source == "timeseries": + if river.timeseries_file is None: + raise ValueError( + "The timeseries file for the river source is not set." + ) + src_path = resolve_filepath( + self.dir_name, self.attrs.name, river.timeseries_file + ) + path = save_file_to_database(src_path, Path(toml_path).parent) + river.timeseries_file = path.name + + if self.attrs.tide: + if self.attrs.tide.source == "timeseries": + src_path = resolve_filepath( + self.dir_name, self.attrs.name, self.attrs.tide.timeseries_file + ) + path = save_file_to_database(src_path, Path(toml_path).parent) + self.attrs.tide.timeseries_file = path.name def make_spw_file(self, event_path: Path, model_dir: Path): # Location of tropical cyclone database @@ -111,7 +147,8 @@ def make_spw_file(self, event_path: Path, model_dir: Path): def write_cyc(self, output_dir: Path, track: TropicalCyclone): cyc_file = output_dir / f"{self.attrs.track_name}.cyc" - + if cyc_file.exists(): + os.remove(cyc_file) # cht_cyclone function to write TropicalCyclone as .cyc file track.write_track(filename=cyc_file, fmt="ddb_cyc") diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index 616287916..e83bf8bd6 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd -from pydantic import BaseModel, Field +from pydantic import BaseModel, model_validator from flood_adapt.object_model.interface.object_model import IObject, IObjectModel from flood_adapt.object_model.interface.path_builder import ( @@ -205,7 +205,13 @@ class HistoricalHurricaneModel(EventModel): hurricane_translation: TranslationModel track_name: str - track_index: int = Field(None, ge=0) + cyc_file: Optional[str] = None + + @model_validator(mode="after") + def set_cycfile(self) -> "HistoricalHurricaneModel": + if self.cyc_file is None: + self.cyc_file = f"{self.track_name}.cyc" + return self EventModelType = TypeVar("EventModelType", bound=EventModel) From ca912ca4c221e0f2da74e4613ce7bcabd80e98e3 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Fri, 1 Nov 2024 16:32:08 +0100 Subject: [PATCH 25/28] fixed broken test added .cyc file to test data --- tests/data/cyclones/IAN.cyc | 91 ++++++++++++++++++++++++++ tests/test_object_model/test_events.py | 3 +- 2 files changed, 93 insertions(+), 1 deletion(-) create mode 100644 tests/data/cyclones/IAN.cyc diff --git a/tests/data/cyclones/IAN.cyc b/tests/data/cyclones/IAN.cyc new file mode 100644 index 000000000..a9cb03674 --- /dev/null +++ b/tests/data/cyclones/IAN.cyc @@ -0,0 +1,91 @@ +# Tropical Cyclone Toolbox - Coastal Hazards Toolkit - 20241030 112728 +Name "IAN" +WindProfile holland2010 +WindPressureRelation holland2008 +RMaxRelation nederhoff2019 +Backgroundpressure 1012.0 +PhiSpiral 20.0 +WindConversionFactor 0.93 +SpiderwebRadius 1000.0 +NrRadialBins 500 +NrDirectionalBins 36 +EPSG WGS 84 +UnitIntensity knots +UnitWindRadii nm +# +# Date Time Lat Lon Vmax Pc Rmax R35(NE) R35(SE) R35(SW) R35(NW) R50(NE) R50(SE) R50(SW) R50(NW) R65(NE) R65(SE) R65(SW) R65(NW) R100(NE) R100(SE) R100(SW) R100(NE) +# + 20220922 180000 12.3 -66.3 30.0 1006.0 70.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220922 210000 12.57 -66.76 30.0 1006.0 70.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 000000 12.9 -67.2 30.0 1006.0 70.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 030000 13.31 -67.63 30.0 1006.0 65.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 060000 13.7 -68.1 30.0 1006.0 60.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 090000 13.98 -68.67 30.0 1006.0 60.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 120000 14.2 -69.3 30.0 1006.0 60.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 150000 14.43 -69.96 30.0 1006.0 60.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 180000 14.6 -70.6 30.0 1006.0 60.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220923 210000 14.68 -71.16 32.0 1005.0 45.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220924 000000 14.7 -71.7 35.0 1005.0 30.0 -999.0 -999.0 -999.0 30.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220924 030000 14.72 -72.27 35.0 1005.0 30.0 -999.0 -999.0 -999.0 30.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220924 060000 14.7 -72.9 35.0 1005.0 30.0 -999.0 -999.0 -999.0 30.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220924 090000 14.61 -73.64 37.0 1004.0 30.0 -999.0 -999.0 -999.0 40.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20220924 120000 14.5 -74.4 40.0 1003.0 30.0 -999.0 -999.0 -999.0 50.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 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-999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20221001 000000 34.4 -79.3 50.0 990.0 80.0 160.0 170.0 -999.0 -999.0 -999.0 90.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20221001 030000 34.93 -79.47 40.0 994.0 130.0 80.0 85.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 + 20221001 060000 35.3 -79.7 30.0 999.0 180.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 -999.0 diff --git a/tests/test_object_model/test_events.py b/tests/test_object_model/test_events.py index 0de8d9bf2..26a8a4f95 100644 --- a/tests/test_object_model/test_events.py +++ b/tests/test_object_model/test_events.py @@ -641,7 +641,8 @@ def test_hurricane_event(test_data_dir, test_event_model_no_name_template_timing name="test_historical_hurricane", template=Template.Hurricane, timing=Timing.historical, - track_name="BONNIE", + track_name="IAN", + cyc_file=str(test_data_dir / "cyclones" / "IAN.cyc"), hurricane_translation=TranslationModel(), tide=TideModel(source=TideSource.model), surge=SurgeModel(source=SurgeSource.none), From e665c5f5851ccec46a4fdf3c317cb138820c9992 Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Tue, 5 Nov 2024 12:44:43 +0100 Subject: [PATCH 26/28] fix copying of objects with additional files --- flood_adapt/api/measures.py | 4 +- flood_adapt/dbs_classes/dbs_event.py | 40 -------- flood_adapt/dbs_classes/dbs_template.py | 23 ++++- .../hazard/measure/green_infrastructure.py | 1 + tests/test_api/test_measures.py | 91 +++++++++++++++++++ tests/test_object_model/test_measures.py | 34 ++++--- 6 files changed, 136 insertions(+), 57 deletions(-) create mode 100644 tests/test_api/test_measures.py diff --git a/flood_adapt/api/measures.py b/flood_adapt/api/measures.py index 57b46985c..10646393b 100644 --- a/flood_adapt/api/measures.py +++ b/flood_adapt/api/measures.py @@ -35,8 +35,6 @@ def create_measure(attrs: dict[str, Any], type: str = None) -> IMeasure: Dictionary of attributes for the measure. type : str Type of measure to create. - database : IDatabase, optional - Database to use for creating the measure, by default None Returns ------- @@ -55,6 +53,8 @@ def create_measure(attrs: dict[str, Any], type: str = None) -> IMeasure: return Pump.load_dict(attrs) elif type in ["water_square", "total_storage", "greening"]: return GreenInfrastructure.load_dict(attrs) + else: + raise ValueError(f"Invalid measure type: {type}") def save_measure(measure: IMeasure) -> None: diff --git a/flood_adapt/dbs_classes/dbs_event.py b/flood_adapt/dbs_classes/dbs_event.py index 1c1d71ca1..ca4194028 100644 --- a/flood_adapt/dbs_classes/dbs_event.py +++ b/flood_adapt/dbs_classes/dbs_event.py @@ -1,4 +1,3 @@ -import shutil from pathlib import Path from typing import Any @@ -58,45 +57,6 @@ def list_objects(self) -> dict[str, list[Any]]: events["objects"] = objects return events - def copy(self, old_name: str, new_name: str, new_description: str): - """Copy (duplicate) an existing object, and give it a new name. - - Parameters - ---------- - old_name : str - name of the existing measure - new_name : str - name of the new measure - new_description : str - description of the new measure - """ - # Check if the provided old_name is valid - if old_name not in self.list_objects()["name"]: - raise ValueError( - f"{self._object_class.class_name} '{old_name}' does not exist." - ) - - # First do a get and change the name and description - copy_object = self.get(old_name) - copy_object.attrs.name = new_name - copy_object.attrs.description = new_description - - # After changing the name and description, receate the model to re-trigger the validators - copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.model_dump()) - - # Then a save. Checking whether the name is already in use is done in the save function - self.save(copy_object) - - # Then save all the accompanied files - src = self.input_path / old_name - dest = self.input_path / new_name - - EXCLUDE = [".spw", ".toml"] - for file in src.glob("*"): - if file.suffix in EXCLUDE: - continue - shutil.copy(file, dest / file.name) - def _check_standard_objects(self, name: str) -> bool: """Check if an event is a standard event. diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index e7206577f..a40a0ca37 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -103,8 +103,27 @@ def copy(self, old_name: str, new_name: str, new_description: str): # After changing the name and description, receate the model to re-trigger the validators copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.model_dump()) - # Then save. Checking whether the name is already in use is done in the save function - self.save(copy_object) + EXCLUDE_SUFFIX = [".spw"] + try: + # Copy the folder + shutil.copytree( + self.input_path / old_name, + self.input_path / new_name, + ignore=shutil.ignore_patterns(*EXCLUDE_SUFFIX), + ) + + # Rename the toml file to not raise in the name check + os.rename( + self.input_path / new_name / f"{old_name}.toml", + self.input_path / new_name / f"{new_name}.toml", + ) + + # Check new name is valid and update toml file + self.save(copy_object, overwrite=True) + except: + # If an error occurs, delete the folder and raise the error + shutil.rmtree(self.input_path / new_name, ignore_errors=True) + raise def save( self, diff --git a/flood_adapt/object_model/hazard/measure/green_infrastructure.py b/flood_adapt/object_model/hazard/measure/green_infrastructure.py index 8c445ca55..126159009 100644 --- a/flood_adapt/object_model/hazard/measure/green_infrastructure.py +++ b/flood_adapt/object_model/hazard/measure/green_infrastructure.py @@ -34,6 +34,7 @@ def save_additional(self, toml_path: Path | str | os.PathLike) -> None: self.dir_name, self.attrs.name, self.attrs.polygon_file ) path = save_file_to_database(src_path, Path(toml_path).parent) + # Update the shapefile path in the object so it is saved in the toml file as well self.attrs.polygon_file = path.name diff --git a/tests/test_api/test_measures.py b/tests/test_api/test_measures.py new file mode 100644 index 000000000..b9197a70e --- /dev/null +++ b/tests/test_api/test_measures.py @@ -0,0 +1,91 @@ +import pytest + +from flood_adapt.api.measures import ( + copy_measure, + create_measure, + delete_measure, + get_measure, + save_measure, +) +from tests.test_object_model.test_measures import ( + test_buyout, + test_elevate, + test_floodproof, + test_floodwall, + test_green_infra, + test_pump, +) + +__all__ = [ + "test_buyout", + "test_elevate", + "test_floodproof", + "test_floodwall", + "test_pump", + "test_green_infra", +] +# dict of measure fixture names and their corresponding measure type +measure_fixtures = { + "test_elevate": "elevate_properties", + "test_buyout": "buyout_properties", + "test_floodproof": "floodproof_properties", + "test_floodwall": "floodwall", + "test_pump": "pump", + "test_green_infra": "greening", +} + + +@pytest.mark.parametrize("measure_fixture_name", measure_fixtures.keys()) +def test_create_measure(measure_fixture_name, request): + measure = request.getfixturevalue(measure_fixture_name) + measure_type = measure_fixtures[measure_fixture_name] + + measure = create_measure(attrs=measure.attrs, type=measure_type) + assert measure is not None + + +@pytest.mark.parametrize("measure_fixture", measure_fixtures.keys()) +def test_save_measure(test_db, measure_fixture, request): + measure = request.getfixturevalue(measure_fixture) + + save_measure(measure) + assert (test_db.measures.input_path / measure.attrs.name).exists() + + +@pytest.mark.parametrize("measure_fixture", measure_fixtures.keys()) +def test_get_measure(test_db, measure_fixture, request): + measure = request.getfixturevalue(measure_fixture) + + save_measure(measure) + assert (test_db.measures.input_path / measure.attrs.name).exists() + + loaded_measure = get_measure(measure.attrs.name) + assert loaded_measure == measure + + +@pytest.mark.parametrize("measure_fixture", measure_fixtures.keys()) +def test_delete_measure(test_db, measure_fixture, request): + measure = request.getfixturevalue(measure_fixture) + save_measure(measure) + assert (test_db.measures.input_path / measure.attrs.name).exists() + + delete_measure(measure.attrs.name) + assert not (test_db.measures.input_path / measure.attrs.name).exists() + + +@pytest.mark.parametrize("measure_fixture", measure_fixtures.keys()) +def test_copy_measure(test_db, measure_fixture, request): + measure = request.getfixturevalue(measure_fixture) + save_measure(measure) + assert (test_db.measures.input_path / measure.attrs.name).exists() + + new_name = f"copy_{measure.attrs.name}" + new_description = f"copy of {measure.attrs.description}" + + copy_measure( + old_name=measure.attrs.name, new_name=new_name, new_description=new_description + ) + new_measure = get_measure(new_name) + + assert (test_db.measures.input_path / new_name).exists() + assert measure == new_measure diff --git a/tests/test_object_model/test_measures.py b/tests/test_object_model/test_measures.py index 98e5158a8..98f0e742d 100644 --- a/tests/test_object_model/test_measures.py +++ b/tests/test_object_model/test_measures.py @@ -34,22 +34,30 @@ ) -def test_floodwall_read(test_db): - test_toml = test_db.input_path / "measures" / "seawall" / "seawall.toml" - assert test_toml.is_file() +@pytest.fixture +def test_floodwall(test_data_dir): + floodwall_model = { + "name": "test_seawall", + "description": "seawall", + "type": HazardType.floodwall, + "selection_type": SelectionType.polygon, + "elevation": UnitfulLength(value=12, units=UnitTypesLength.feet), + "polygon_file": str(test_data_dir / "polyline.geojson"), + } + return FloodWall(floodwall_model) - floodwall = FloodWall.load_file(test_toml) - assert isinstance(floodwall.attrs.name, str) - assert isinstance(floodwall.attrs.description, str) - assert isinstance(floodwall.attrs.type, HazardType) - assert isinstance(floodwall.attrs.elevation, UnitfulLength) +def test_floodwall_read(test_floodwall): + assert isinstance(test_floodwall.attrs.name, str) + assert isinstance(test_floodwall.attrs.description, str) + assert isinstance(test_floodwall.attrs.type, HazardType) + assert isinstance(test_floodwall.attrs.elevation, UnitfulLength) - assert floodwall.attrs.name == "seawall" - assert floodwall.attrs.description == "seawall" - assert floodwall.attrs.type == "floodwall" - assert floodwall.attrs.elevation.value == 12 - assert floodwall.attrs.elevation.units == UnitTypesLength.feet + assert test_floodwall.attrs.name == "test_seawall" + assert test_floodwall.attrs.description == "seawall" + assert test_floodwall.attrs.type == "floodwall" + assert test_floodwall.attrs.elevation.value == 12 + assert test_floodwall.attrs.elevation.units == UnitTypesLength.feet def test_elevate_aggr_area_read(test_db): From 3ce7dbe662b02c015a6586bd005f3fbfb29dc05a Mon Sep 17 00:00:00 2001 From: LuukBlom <153174893+LuukBlom@users.noreply.github.com> Date: Tue, 5 Nov 2024 15:33:36 +0100 Subject: [PATCH 27/28] fix exclude pattern --- flood_adapt/dbs_classes/dbs_template.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/flood_adapt/dbs_classes/dbs_template.py b/flood_adapt/dbs_classes/dbs_template.py index a40a0ca37..daa91c3b6 100644 --- a/flood_adapt/dbs_classes/dbs_template.py +++ b/flood_adapt/dbs_classes/dbs_template.py @@ -103,7 +103,7 @@ def copy(self, old_name: str, new_name: str, new_description: str): # After changing the name and description, receate the model to re-trigger the validators copy_object.attrs = type(copy_object.attrs)(**copy_object.attrs.model_dump()) - EXCLUDE_SUFFIX = [".spw"] + EXCLUDE_SUFFIX = ["*.spw"] try: # Copy the folder shutil.copytree( From 02f03f43cbdafe19c1b91b438202be1f162ad90d Mon Sep 17 00:00:00 2001 From: Luuk Blom Date: Wed, 27 Nov 2024 10:50:51 +0100 Subject: [PATCH 28/28] merge main into 553-new-development-area-shapefile-not-copied-in-projection-folder --- .pre-commit-config.yaml | 2 +- .../build_database_builder_executable.py | 2 + docs/1_introduction/index.qmd | 24 +- .../Delft_Fiat/hydromt_fiat_gui.qmd | 56 +---- docs/3_setup_guide/Delft_Fiat/index.qmd | 15 +- .../SFINCS/hydromt_sfincs_gui.qmd | 202 ++++++++++++--- docs/3_setup_guide/SFINCS/index.qmd | 65 ++++- docs/3_setup_guide/database.qmd | 237 +++++++++++++++++- docs/3_setup_guide/index.qmd | 37 ++- docs/3_setup_guide/risk_analysis.qmd | 231 ++++++++++++++++- docs/4_user_guide/benefits.qmd | 4 + docs/4_user_guide/compare/index.qmd | 49 +++- .../historic_events_hurricane.qmd | 6 +- .../historic_events_ungauged.qmd | 5 - .../events/probabilistic_events.qmd | 6 +- docs/4_user_guide/events/synthetic_events.qmd | 11 +- docs/4_user_guide/getting_started.qmd | 39 +-- docs/4_user_guide/projections/climate.qmd | 2 +- docs/4_user_guide/scenarios/index.qmd | 4 +- docs/5_technical_docs/EquityCalc.qmd | 26 +- docs/5_technical_docs/RiskScenario.qmd | 62 ++++- docs/_make_pdf.qmd | 99 ++++++++ docs/_quarto.yml | 8 +- docs/_static/images/Comparison_metrics.png | Bin 0 -> 302095 bytes docs/_static/images/DelftFIAT_exposure.png | Bin 36157 -> 37105 bytes docs/_static/images/EquityMethod_inFA.jpg | Bin 0 -> 253901 bytes docs/_static/images/comparison_map.png | Bin 0 -> 579445 bytes docs/_static/images/database_GUI_snippet.png | Bin 0 -> 30769 bytes docs/_static/images/database_SLR_comp.png | Bin 0 -> 68168 bytes docs/_static/images/database_SLR_snippet.png | Bin 0 -> 43836 bytes docs/_static/images/database_SVI.png | Bin 0 -> 67063 bytes docs/_static/images/database_SVI_comp.png 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docs/_static/images/sfincs_intro.png | Bin 0 -> 962968 bytes docs/_static/images/sfincs_overview.png | Bin 0 -> 887974 bytes docs/index.qmd | 34 ++- environment/_environment.yml | 18 ++ flood_adapt/__init__.py | 2 +- .../{integrator => adapter}/__init__.py | 0 .../{integrator => adapter}/fiat_adapter.py | 0 .../{integrator => adapter}/sfincs_adapter.py | 0 .../database_builder/create_database.py | 72 +++--- .../OSM/with_SVI/config_charts.toml | 6 +- .../OSM/with_SVI/config_people.toml | 6 +- .../OSM/with_SVI/config_risk_charts.toml | 4 +- .../OSM/without_SVI/config_charts.toml | 6 +- .../US_NSI/with_SVI/config_charts.toml | 2 +- .../US_NSI/with_SVI/config_people.toml | 2 +- .../US_NSI/with_SVI/config_risk_charts.toml | 2 +- .../US_NSI/without_SVI/config_charts.toml | 2 +- flood_adapt/dbs_controller.py | 2 +- flood_adapt/object_model/direct_impacts.py | 2 +- flood_adapt/object_model/hazard/hazard.py | 2 +- flood_adapt/object_model/interface/events.py | 2 +- flood_adapt/object_model/interface/site.py | 23 +- pyproject.toml | 2 +- tests/test_integrator/test_sfincs_adapter.py | 2 +- 101 files changed, 1137 insertions(+), 246 deletions(-) create mode 100644 docs/_make_pdf.qmd create mode 100644 docs/_static/images/Comparison_metrics.png create mode 100644 docs/_static/images/EquityMethod_inFA.jpg create mode 100644 docs/_static/images/comparison_map.png create mode 100644 docs/_static/images/database_GUI_snippet.png create mode 100644 docs/_static/images/database_SLR_comp.png create mode 100644 docs/_static/images/database_SLR_snippet.png create mode 100644 docs/_static/images/database_SVI.png create mode 100644 docs/_static/images/database_SVI_comp.png create mode 100644 docs/_static/images/database_attr_BFs.png create mode 100644 docs/_static/images/database_attr_baseline.png create mode 100644 docs/_static/images/database_attr_header.png create mode 100644 docs/_static/images/database_baselineConfig.png create mode 100644 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mode 100644 docs/_static/images/eventSet_NIgrid.png create mode 100644 docs/_static/images/eventSet_NIprob.png create mode 100644 docs/_static/images/eventSet_combiningDists.png create mode 100644 docs/_static/images/eventSet_copulas.png create mode 100644 docs/_static/images/eventSet_correlation.png create mode 100644 docs/_static/images/eventSet_eventFolderContents.png create mode 100644 docs/_static/images/eventSet_eventTOML.png create mode 100644 docs/_static/images/eventSet_fittingGPD.png create mode 100644 docs/_static/images/eventSet_folderDiagram.png create mode 100644 docs/_static/images/eventSet_folderStruct.png create mode 100644 docs/_static/images/eventSet_hurrTOML.png create mode 100644 docs/_static/images/eventSet_probSetToml.png create mode 100644 docs/_static/images/eventSet_trendLine.png create mode 100644 docs/_static/images/eventSet_varTransform.png create mode 100644 docs/_static/images/installation_databaseSelector.png create mode 100644 docs/_static/images/installation_database_structure.png create mode 100644 docs/_static/images/installation_modelbuilders_setupWizard.png create mode 100644 docs/_static/images/installation_setupWizard.png create mode 100644 docs/_static/images/probCalculatorRPs.png create mode 100644 docs/_static/images/probCalculator_WL_RP.png create mode 100644 docs/_static/images/probCalculator_WLexcFreq.png create mode 100644 docs/_static/images/probCalculator_sortedWLs.png create mode 100644 docs/_static/images/probCalculator_waterLevelTable.png create mode 100644 docs/_static/images/setup_overview.png create mode 100644 docs/_static/images/setup_overview_diagram.png create mode 100644 docs/_static/images/sfincs_intro.png create mode 100644 docs/_static/images/sfincs_overview.png create mode 100644 environment/_environment.yml rename flood_adapt/{integrator => adapter}/__init__.py (100%) rename flood_adapt/{integrator => adapter}/fiat_adapter.py (100%) rename flood_adapt/{integrator => adapter}/sfincs_adapter.py (100%) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7aa7a5a8f..674f34996 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -9,7 +9,7 @@ repos: - id: check-toml - id: check-merge-conflict - id: check-added-large-files - exclude: '^environment/' + exclude: ^(docs/_static/images|environment)/ - id: check-merge-conflict - id: trailing-whitespace - repo: https://github.com/astral-sh/ruff-pre-commit diff --git a/distribution/build_database_builder_executable.py b/distribution/build_database_builder_executable.py index d95b01f12..c752495f4 100644 --- a/distribution/build_database_builder_executable.py +++ b/distribution/build_database_builder_executable.py @@ -57,6 +57,8 @@ def run_pyinstaller() -> None: command.append("--collect-all=flood_adapt") command.append("--recursive-copy-metadata=flood_adapt") + command.append("--hiddenimport=scipy.special._special_ufuncs") + command.append("--hiddenimport=scipy._lib.array_api_compat.numpy.fft") command.append("--collect-all=rasterio") command.append("--collect-all=pyogrio") command.append("--collect-all=xugrid") diff --git a/docs/1_introduction/index.qmd b/docs/1_introduction/index.qmd index c18ad11a1..cc1ed4dfd 100644 --- a/docs/1_introduction/index.qmd +++ b/docs/1_introduction/index.qmd @@ -11,11 +11,12 @@ In this introduction, you will find an [overview of FloodAdapt](#overview), info ## Overview FloodAdapt is a flood adaptation decision-support tool, which aims to advance and accelerate flooding-related adaptation planning. It integrates rapid, physics-based compound flood modeling and detailed impact modeling into a user-friendly system, ensuring accessibility for end-users, regardless of their technical backgrounds. This enables users to define and evaluate meaningful "what-if" scenarios, which can be combinations of weather events, climate or socio-economic future conditions, and adaptation strategies. FloodAdapt rapidly generates high-quality flood and impact maps, equity-focused aggregations, and informative metrics, providing valuable support for planning and facilitating genuine stakeholder engagement. Beyond its usefulness for end-users, FloodAdapt acts as a vital bridge between scientific advancements and practical needs, enhancing the adoption and impact of adaptation research and development. -:::{.callout-note} + - ### Additional Attributes {#sec-addl-attributes} ::: {.callout-tip} ##### Watch a video tutorial for adding additional attributes to your Delft-FIAT model - -Coming soon... +{{< video https://youtu.be/Z_eqiBgwFlA?rel=0 >}} ::: ### Create model {#sec-createModel} @@ -373,12 +339,6 @@ Once you have created your model, you can visualize different model attributes o There is also a button "Exposure output". This opens the full model data, which is also stored as a CSV in the model output folder. This allows you to quickly view the complete dataset without having to look for the file on your computer. -::: {.callout-tip} -##### Watch a video tutorial for visualizing your Delft-FIAT model - -Coming soon... -::: - ## Delft-FIAT model folder structure Once you have created your model, the model folder you specified when you chose your working directory in the [getting started](#getting-started) step will be populated with the Delft-FIAT model files. Below you can see what the folder structure looks like for a comprehensive model, saved in a working directory named "Delft-FIAT". When you create a basic model (without using QuickBuild or any advanced options), the resulting folder structure will contain fewer folders and files. The additional folders and files that appear when using QuickBuild or adding additional attributes to your model are highlighted in the figure below, indicating that the folders (incl. files within) are generated only under those specific conditions. diff --git a/docs/3_setup_guide/Delft_Fiat/index.qmd b/docs/3_setup_guide/Delft_Fiat/index.qmd index ad84a50ab..d7623fed4 100644 --- a/docs/3_setup_guide/Delft_Fiat/index.qmd +++ b/docs/3_setup_guide/Delft_Fiat/index.qmd @@ -1,11 +1,20 @@ --- -title: Setting up a Delft-FIAT model +title: Delft-FIAT filters: - lightbox lightbox: auto --- -[Delft-FIAT](https://deltares.github.io/Delft-FIAT/stable/) is the open-source flood impact model implemented in FloodAdapt. When setting up FloodAdapt in a new location, it is required to first set up a Delft-FIAT model in the project area. This is considered the 'baseline' Delft-FIAT model, which FloodAdapt users can then modify through the FloodAdapt user interface - for example, by elevating buildings. @fig-DF_concept shows the flood impact modeling concept on which Delft-FIAT is based. It relates a **hazard** (the flood waters), **exposure** (buildings or roads that might be flooded), and **vulnerability** (the propensity of assets to be damaged when flooded). +[Delft-FIAT](https://deltares.github.io/Delft-FIAT/stable/) is the open-source flood impact model implemented in FloodAdapt. When setting up FloodAdapt in a new location, it is required to first set up a Delft-FIAT model in the project area. This is considered the 'baseline' Delft-FIAT model, which FloodAdapt users can then modify through the FloodAdapt user interface - for example, by elevating buildings. To facilitate the setup of a Delft-FIAT model, the [Delft-FIAT model-builder](hydromt_fiat_gui.qmd) was created. + +::: {.callout-tip} +#### The Delft-FIAT model-builder +This page gives an overview of the Delft-FIAT model. + +Please check out the sub-page on the [**Delft-FIAT model-builder**](hydromt_fiat_gui.qmd) for guidance on the steps to prepare a Delft-FIAT model. +::: + +@fig-DF_concept shows the flood impact modeling concept on which Delft-FIAT is based. It relates a **hazard** (the flood waters), **exposure** (buildings or roads that might be flooded), and **vulnerability** (the propensity of assets to be damaged when flooded). ![Damage modeling concept](../../_static/images/DelftFIAT_concept.png){width=75% fig-align=left #fig-DF_concept} @@ -36,4 +45,4 @@ The **secondary occupancy type** can be optional, but will sometimes be required **Vulnerability data** in Delft-FIAT are captured in depth-damage curves. These translate inundation depths at an asset to a fraction of total damage (@fig-damagefunction). The depth-damage curve is related to the building type (e.g. 'residential 1-story building') and the inundation depth during a flood event. Different types of assets incur different degrees of damage at varying inundation levels. -![Example of depth-damage functions.](../../_static/images/damage_curves.png){#fig-damagefunction} +![**Example of depth-damage functions**](../../_static/images/damage_curves.png){width=50% fig-align=left #fig-damagefunction} diff --git a/docs/3_setup_guide/SFINCS/hydromt_sfincs_gui.qmd b/docs/3_setup_guide/SFINCS/hydromt_sfincs_gui.qmd index ae0a3ffae..cefae81bc 100644 --- a/docs/3_setup_guide/SFINCS/hydromt_sfincs_gui.qmd +++ b/docs/3_setup_guide/SFINCS/hydromt_sfincs_gui.qmd @@ -9,67 +9,205 @@ number-sections: false format: html --- -The SFINCS model builder was designed to make it easy for analysts to set up a tailored SFINCS model using local data. +The SFINCS ModelBuilder is a user-friendly interface built on top of the HydroMT-SFINCS Python package. It simplifies the process of setting up a basic SFINCS model for an area using local data, without requiring programming expertise. -This guide is organized in seven sections: +![The ModelBuilder start screen.](../../_static/images/sfincs_model_builder_homeScreen.png){width=100% fig-align=left #fig-sfincsHomeScreen} -(1) [Getting started](#sec-getting-started) -(2) [Defining your domain and model grid](#sec-domain) -(3) [Mapping topography/bathymetry data to your model grid](#sec-topobathy) -(4) [Define active cells](#sec-active-cells) -(5) [Define boundary cells](#sec-boundary-cells) -(6) [Build model](#sec-build-model) -(7) [Define boundary points](#sec-boundary-points) +@fig-sfincsHomeScreen shows the SFINCS ModelBuilder interface, which includes six tabs in the upper section. For generating a SFINCS model compatible with FloodAdapt, you will primarily use the first tab, the 'Model Maker' tab. The other tabs are designed for creating standalone SFINCS models for use outside of FloodAdapt, but can be used for customizations such as editing automatically defined boundary points or setting river discharge points. Within the 'Model Maker' tab, the five sub-tabs at the bottom guide you through the process of creating a SFINCS model. -@fig-sfincsHomeScreen shows the SFINCS model builder. There are six tabs shown at the top. For generating a SFINCS model for FloodAdapt, you will only need to use the first of these tabs, the "Model Maker" tab. The remaining tabs are for creating a standalone SFINCS model for use outside of FloodAdapt. Within the "Model Maker" tab, there are 5 tabs shown at the bottom. These guide the user through creating a SFINCS model for FloodAdapt. +This guide is organized into the following sections: -![The model-builder start screen. Within the "Model Maker" tab located at the top of the GUI, the tabs at the bottom of the GUI walk you through the key components of creating a SFINCS model for FloodAdapt.](../../_static/images/sfincs_model_builder_homeScreen.png){width=50% fig-align=left #fig-sfincsHomeScreen} +* [Getting started](#sec-getting-started) +* [Defining your domain and model grid](#sec-domain) +* [Mapping topography/bathymetry data to your model grid](#sec-topobathy) +* [Defining active cells](#sec-active-cells) +* [Defining boundary cells](#sec-boundary-cells) +* [Build model](#sec-build-model) +* [Editing boundary points (Optional)](#sec-boundary-points) +* [Defining river discharge points (Optional)](#sec-river-discharge) ## Getting started {#sec-getting-started} To get started building your SFINCS model: -* Open the Model Builder application; this contains functionality to build a SFINCS and a Delft-FIAT model -* Click "Model" in the top menu bar and choose "SFINCS (HydroMT)" -* Click "File" in the top menu bar and choose "Select Working Directory" -* Select an existing folder or create a new one where your model will be saved +1. Open the ModelBuilder application; this contains functionality to build a SFINCS and a Delft-FIAT model +2. Click "Model" in the top menu bar and choose "SFINCS (HydroMT)" +3. Click "File" in the top menu bar and choose "Select Working Directory" +4. Select an existing folder or create a new one where your model will be saved ## Defining the model domain and grid {#sec-domain} -The SFINCS domain is the area within which the SFINCS model will simulate hydrodynamics. For a fully functional FloodAdapt system, two SFINCS models are typically needed, a "Surge model", and an "Overland model". The surge, a.k.a. offshore, model is needed for simulations of hurricanes, and typically has a much coarser resolution than a detailed overland model. Its purpose is to simulate storm surge over large areas and provide the time series of simulated water levels as input for the overland model. Later in the guide we will define boundary points for our overland model, these are points where time series of simulated water levels can be taken from the offshore model and used as input for the overland model, in a process referred to as "grid nesting". Details on creating a surge model are coming soon, for now this guide will focus on the creation of an overland model. The overland model is higher resolution and is used for simulating compound flooding over land. +The SFINCS domain defines the area where the model will simulate hydrodynamics. For a fully functional FloodAdapt system, two SFINCS models are typically required: -We need to define a spatial coordinate system for our model, this can be accomplished by selecting "Auto-select UTM zone" in the "Domain" section of the GUI.The "Auto-rotate grid" option can be left unchecked. When modeling local precipitation, such as in many FloodAdapt scenarios, it is recommended to ensure that full watershed area(s) are within the modeled domain area. Check "Local precipitation" and then choose "Select Watershed". A pop-up box will appear in which you may select one or more watersheds to include in your domain area. Once you have selected your desired watersheds, choose "OK". The GUI will inform you that the coordinate system will be changed to one appropriate for the selected area, when asked to continue, select "yes". @fig-sfincsDomain shows the SFINCS model-builder "Domain" tab with the "Select Watershed" pop-up. +**Surge (a.k.a. "offshore") model**: Simulates storm surge over a large area, typically using a coarser grid resolution. Its primary purpose is to generate time series of water levels that serve as input for the overland model. -![The SFINCS model-builder "Domain" tab and "Select Watershed" pop-up.](../../_static/images/sfincs_domaintab.png){width=50% fig-align=left #fig-sfincsDomain} +**Overland model**: Uses a finer grid resolution to simulate compound flooding on land. -A new box will appear in the domain tab for defining model resolution. A grid resolution of 50-100 m is typically appropriate for an overland model. In general, the coarser the resolution the faster the model will run, but this may result in decreased accuracy. The user is recommended to test their model in FloodAdapt for a historical case where there is some knowledge of flooding that actually occurred to ensure that the resolution chosen is appropriate for their location. Select "Generate Grid" and the viewer will show a preview of the model grid. Zooming in in the viewer will allow you to see details of the grid. The bottom right side of the GUI shows a summarry of the model domain and grid. +The process of transferring water levels from the surge model to the overland model is known as "grid nesting". In this guide, we focus on creating the overland model. Details on setting up a surge model will be provided in future updates. + +1. Select Overland Model: + - In the 'Model Maker - Domain' tab, start by selecting "Overland model". + +2. Define the Spatial Coordinate System: + - Check "Auto-select UTM Zone" to automatically set the spatial coordinate system for your model. + - Leave the "Auto-rotate grid" option unchecked. + +3. Define the domain area: + - When modeling local precipitation (as in FloodAdapt scenarios), ensure full watershed area(s) are included: + - Check "Local Precipitation" and click "Select Watershed". + - A pop-up will appear where you can select one or more watersheds for your domain. + - Once you've selected the watersheds, click "OK". + - You may also choose to draw a polygon or upload a geospatial file to define the domain area. Take care to ensure that the domain covers the full extent of areas contributing water to the system. Failure to include these areas can cause water to pile up at the boundaries, which is why selecting entire watersheds is recommended. + - The GUI will prompt you to confirm a coordinate system change based on the domain area that was defined. Click "Yes" to proceed. + + @fig-sfincsDomain shows the 'Model Maker - Domain' tab with the "Select Watershed" pop-up. + +![The SFINCS ModelBuilder 'Model Maker - Domain' tab and "Select Watershed" pop-up.](../../_static/images/sfincs_domaintab.png){width=100% fig-align=left #fig-sfincsDomain} + +After completing the steps above, a new box will appear for defining the model resolution. + +4. Define the model resolution: + - A grid resolution of 50–100 m is typically appropriate for an overland model. + - Coarser resolutions allow faster simulations but may reduce accuracy. + - It is recommended to test the model in FloodAdapt using a historical flooding event with known outcomes to ensure the chosen resolution is suitable for the location. + - Once you have chosen a resolution, click "Generate Grid". The viewer will display a preview of the model grid. + - You can zoom in on the viewer to inspect grid details and ensure the resolution seems appropriate for features in your area. + +A summary of the model domain and grid is displayed in the bottom-right corner of the GUI. ## Mapping topography/bathymetry data to the grid {#sec-topobathy} -Next, move to the "TopoBathy" tab along the bottom of the GUI. Here, we will choose which topography/bathymetry dataset(s) to map onto our grid. On the bottom left, there is a list of DEM dataset source(s). The user has the option to add a dataset, which must be in geotif format. All dataset(s) that will be combined for use in the model must be referenced to the same vertical reference (i.e. NAVD88, MSL, etc.). Once the dataset(s) are loaded into the left box, select the one(s) that should be mapped onto the model grid and use the right arrow to move them into the right box called "Selected Datasets". If you are using multiple datasets, sort them by the order in which they should be used. For example, the main dataset should be at the top, and any areas that aren't covered by it will be filled by subsequent datasets. Once you are satisfied, select "Generate Bathymetry" in the bottom right of the GUI, the topography and bathymetry data will then be displayed in the viewer within the model grid boundary. @fig-sfincsTopobathy shows the SFINCS model-builder "TopoBathy" tab, with the topo-bathymetric dataset mapped to the model grid. +To map topography and bathymetry data onto your model grid, follow these steps: + +1. Navigate to the 'Model Maker - TopoBathy' Tab: + - Click on the 'TopoBathy' tab at the bottom of the GUI. + +2. Load additional DEM Dataset(s) (Optional): + - On the bottom-left of the tab, you’ll see a list of available DEM dataset sources. + - You may add a dataset by clicking "Add Dataset". The file must be in GeoTIFF format. + - Ensure all datasets share the same vertical reference (e.g., NAVD88, MSL) to avoid inconsistencies. + +3. Select and Order Datasets: + - Move the desired datasets to the "Selected Datasets" box (on the right) by using the arrow button. + - If using multiple datasets, sort them in order of priority: + - The most detailed and accurate dataset should be at the top. + - Areas not covered by this dataset will be filled using subsequent datasets in the order listed. + +4. Generate Bathymetry: + - Once satisfied with your dataset selection and order, click "Generate Bathymetry" in the bottom-right of the GUI. + - The topography and bathymetry data will be displayed in the viewer, showing how it is mapped to the model grid. + +@fig-sfincsTopobathy illustrates the 'Model Maker - TopoBathy' tab with a topo-bathymetric dataset mapped to the model grid. + +![The SFINCS ModelBuilder 'Model Maker - TopoBathy' tab.](../../_static/images/sfincs_topobathytab.png){width=100% fig-align=left #fig-sfincsTopobathy} + +## Defining active cells {#sec-active-cells} + +SFINCS optimizes simulations by only performing computations in "active cells" — grid cells that are within the area of interest. Cells outside this area are marked as inactive and excluded from calculations, speeding up simulations. The following steps detail how to define the active cells: + +1. Navigate to the 'Model Maker - Active Cells' tab: + - Go to the 'Model Maker - Active Cells' tab at the bottom of the GUI. + - Click "Show Active Cells" to display the current configuration: + - By default, cells within the selected watersheds are marked as "active". + - Cells outside the watersheds are "inactive". -![The SFINCS model-builder "TopoBathy" tab.](../../_static/images/sfincs_topobathytab.png){width=50% fig-align=left #fig-sfincsTopobathy} +2. Modify the Active Cell Mask (Optional): + - If adjustments are needed, check the box for "Manually add/remove cells to/from your active mask." + - You can draw or load polygons to include or exclude specific areas. -## Define active cells {#sec-active-cells} +3. Advanced Mask Settings (Optional): + - Click "Modify Mask Settings" to define active cells based on: + - Elevation thresholds (e.g., minimum and maximum elevation). + - Isolated areas: + - Maximum area of cells surrounded by active cells to include. + - Maximum area of isolated cells to remove. -One of the ways that SFINCS simulations finish quickly is by not solving computations in grid cells that are not within the area of interest. Within the "Active Cells" tab along the bottom of the GUI, by default, pressing "Show active cells" will show that cells within the selected watersheds are set to "Active" and cells outside the watersheds are inactive. Left as-is, SFINCS would only compute in the active cells. It is sometimes necessary to manually add or remove active cells depending on the area of interest, this can be done by checking the "Manually add/remove cells to/from your active mask" box(es). There are also options to load a mask or create a mask based on maximum/minimum elevations as well as maximum area of cells surrounded by active cells to include in the domain or maximum area of isolated cells to remove by using the "Modify mask settings" button. In general, extending the active cells offshore to -2m water depth is recommended for an overland model. @fig-sfincsActivecells shows the SFINSC model-builder "Active Cells" tab, with active cells highlighted in yellow. +4. Re-click "Show Active Cells" to see updates. -![The SFINCS model-builder "Active Cells" tab.](../../_static/images/sfincs_activecellstab.png){width=50% fig-align=left #fig-sfincsActivecells} +@fig-sfincsActivecells shows the SFINSC model-builder "Active Cells" tab, with active cells highlighted in yellow. -## Define boundary cells {#sec-boundary-cells} +![The SFINCS model-builder 'Model Maker - Active Cells' tab.](../../_static/images/sfincs_activecellstab.png){width=100% fig-align=left #fig-sfincsActivecells} -Next, move to the "Boundary Cells" tab along the bottom of the GUI. Boundary cells are the cells that will be forced with water level data from either an offshore model, or for example a synthetic tidal/ surge signal, or historical tide gauge data. The goal here is for the entire offshore edge to be defined as a "Water level" boundary, which in the GUI will appear as dark blue cells. Polygons can be used to restrict the area you are defining, and it is also possible to use a water depth to automatically select cells. +## Defining boundary cells {#sec-boundary-cells} -![The SFINCS model-builder "Boundary Cells" tab.](../../_static/images/sfincs_boundarycellstab.png){width=50% fig-align=left #fig-sfincsBoundarycells} +Boundary cells are used to apply water level data to your model. These cells will be forced with data from sources such as: +- An offshore model, +- Synthetic tidal or surge signals, or +- Historical tide gauge measurements. + +To define the boundary cells, follow these steps: + +1. Navigate to the Boundary Cells Tab: + - Open the 'Model Maker - Boundary Cells' tab at the bottom of the GUI. + +2. Set the Water Level Boundary: + - The goal is to mark the entire offshore edge of the model as a "Water Level boundary." + - In the GUI, these boundary cells will appear as dark blue. + +3. Customize the Boundary Area (Optional): + - Use polygons to restrict the boundary area if needed. + - Alternatively, use a "water depth threshold" to automatically select boundary cells. + +![The SFINCS ModelBuilder 'Model Maker - Boundary Cells' tab.](../../_static/images/sfincs_boundarycellstab.png){width=100% fig-align=left #fig-sfincsBoundarycells} ## Build model {#sec-build-model} -Finally, move to the "Build Model" tab along the bottom of the GUI. This tab gives a summary of the bathymetric datasets that will be used, and bottom friction datasets (currently can only be the default "Constant values"). In the bottom right of the GUI, select "Build model". +At this point, the model is ready to be built. + +1. Navigate to the 'Build Model' tab: + - Open the 'Model Maker - Build Model' tab at the bottom of the GUI. + +2. Review datasets: + - This tab gives a summary of the topo-bathymetric datasets that will be used, and bottom friction datasets. + - Currently the only bottom friction option is the default "Constant values". + +3. Build the model: + - In the bottom right of the GUI, select "Build Model". + - A pop-up will appear that says "Generating subgrid..." + - During this time, the ModelBuilder is generating the SFINCS subgrid files and saving them to the working directory chosen earlier. + - Next, you will be prompted, "Do you want to make a FloodAdapt model?" - choose "Yes". + - This step configures the SFINCS model in such a way that FloodAdapt will be able to interact with it. + - Next, you will be asked "Specify maximum zoom level(0-20) for tiles:" + - A good default value for this is ~13. + - This enables smooth zooming capabilities within the FloodAdapt viewer. + - After selecting "OK", the ModelBuilder will inform that it is writing the tiles. + +4. Define boundary points: + - The last prompt when building the model is "Do you want to automatically generate water level boundary points?". Select "Yes" here. + - Once generated, the boundary points will appear in the GUI as dark blue dots. + - If your overland model will be nested within a larger offshore SFINCS model, the two are coupled together via these boundary points. + - See [Editing boundary points](#sec-boundary-points) for details on editing boundary points. + +This completes the process of setting up a SFINCS model for FloodAdapt. + +![The SFINCS ModelBuilder 'Model Maker - Build Model' tab.](../../_static/images/sfincs_buildmodeltab.png){width=100% fig-align=left #fig-sfincsBuildmodel} + +## Editing boundary points (Optional) {#sec-boundary-points} + +In order to modify the automatically generated boundary points, visit the 'Boundary Conditions - Water levels' tab (Boundary Conditions is an upper level tab). + +1. Navigate to the 'Water levels' tab: + - Open the 'Boundary Conditions' upper tab, and select the 'Water levels' lower tab. + +2. Modifying Boundary Points: + - You can manually add or delete boundary points in this tab. + - Highlighting a point in the bottom right box will highlight the point in the viewer. + - Water level boundary points should be evenly spaced along the water level boundary. + +3. Saving Changes: + - After changes are made, select "File" then "Save". + +## Defining river discharge points (Optional) {#sec-river-discharge} -![The SFINCS model-builder "Build Model" tab.](../../_static/images/sfincs_buildmodeltab.png){width=50% fig-align=left #fig-sfincsBuildmodel} +In order to define a river discharge point, visit the 'Boundary Conditions - Discharge' tab (Boundary Conditions is an upper level tab). -A pop up will appear that says "Generating subgrid..."; during this time, the model-builder is generating the SFINCS subgrid files and saving them to the working directory chosen earlier. Next, you will be prompted "Do you want to make a FloodAdapt model?", choose "Yes". This step configures the SFINCS model in such a way that FloodAdapt will be able to interface with it. Next, you will be asked "Specify maximum zoom level(0-20) for tiles:", this will enable smooth zooming capabilities within the FloodAdapt GUI viewer. A good default value for zoom tiles is ~13. After selecting "OK", the model-builder will inform that it is writing the tiles. All data will be saved to the working directory. +1. Navigate to the 'Discharge' tab: + - Open the 'Boundary Conditions' upper tab, and select the 'Discharge' lower tab. -## Define boundary points {#sec-boundary-points} +2. Define the river discharge point location: + - You can manually add or delete river discharge points in this tab. + - Once a point is added, you can add a default discharge value in cubic meters per second. + - Discharge points act as a source point in the model, water enters the domain at that location at the rate specified. -The last prompt when building the SFINCS model for FloodAdapt will be "Do you want to automatically generate water level boundary points?". You can select "Yes" here. If your overland SFINCS model is intended to be nested within a larger offshore SFINCS model, the two are coupled together via these boundary points. The points will appear in the GUI as dark blue dots. Once the dialog box closes, you may exit the SFINCS model-builder. +3. Saving Changes: + - After changes are made, select "File" then "Save". diff --git a/docs/3_setup_guide/SFINCS/index.qmd b/docs/3_setup_guide/SFINCS/index.qmd index a40265eec..968dbb5f8 100644 --- a/docs/3_setup_guide/SFINCS/index.qmd +++ b/docs/3_setup_guide/SFINCS/index.qmd @@ -6,4 +6,67 @@ lightbox: auto jupyter: python3 --- -[SFINCS](https://download.deltares.nl/en/sfincs) is the open-source compound flood model implemented in FloodAdapt. When setting up FloodAdapt in a new location, it is required to first set up a SFINCS model in the project area. This is considered the 'baseline' SFINCS model, which FloodAdapt users can then modify through the FloodAdapt user interface - for example, by selecting a hurricane or developing a synthetic event. +[SFINCS](https://download.deltares.nl/en/sfincs) is an open-source model for simulating compound flooding that can be integrated into the FloodAdapt platform. To set up FloodAdapt in a new location, you first need to create a SFINCS model for the project area. This initial model, called the "baseline" SFINCS model, can then modified through FloodAdapt's user interface to simulate scenarios such as hurricanes or synthetic events, and include future conditions like sea level rise. + +![SFINCS can model compound flooding caused by multiple drivers](../../_static/images/sfincs_intro.png){width=50% fig-align=center #fig-sfincsIntro} + +SFINCS is designed to simulate compound flooding caused by various drivers, including storm surge, tides, rainfall, and river discharge (@fig-sfincsIntro). A fully functional FloodAdapt setup typically includes two SFINCS models: + +1. **Offshore model**: Simulates large-scale storm surge events, like hurricanes, and propagates the surge toward the area of interest. + +2. **Overland model**: Uses water level data from the offshore model to simulate flooding over the land via a process called "grid nesting". + +In some scenarios (e.g., historical events with gauged water levels or synthetic events), the offshore model isn't required. Instead, tide gauge data or synthetic water level signals are directly imposed at the overland model's water level boundary. + +## Components of a SFINCS Model +A SFINCS model is comprised of three key components: + +1. **Model grid**: The spatial framework for simulations. + +2. **Topography and bathymetry data**: These are mapped to the grid to define the terrain and underwater features. + +3. **Initial and boundary conditions**: Describe starting water levels and how they change over time at model boundaries (or throughout the domain with respect to rainfall, or at a source point with respect to river discharge). + +Using this information, SFINCS calculates water levels within the model boundaries and saves the maximum inundation results mapped throughout the model area and time series of water levels at selected points. + +The **SFINCS Model-Builder** tool simplifies the creation of SFINCS models for FloodAdapt. It allows users to: + +* Create the model grid +* Map topography and bathymetry data to the grid +* Define active cells +* Define the water level boundaries +* Define boundary points for offshore-overland model communication +* Define discharge points for river discharge + +@fig-sfincsOverview is a schematic overview of the SFINCS model components: + +![Components of a SFINCS model created using the SFINCS model-builer](../../_static/images/sfincs_overview.png){width=100% fig-align=center #fig-sfincsOverview} + +## SFINCS Data Requirements + +After installing the FloodAdapt Model-Builder, the following folder structure is created: +``` +├───📁 FloodAdaptModelBuilder/ + | + ├───📁 _internal/ + | + ├───📁 data/ + │ │ + | ├───📁 topobathy/ + | │ └───📄 dem.tif + | └───📁 watersheds/ + | └───📄 watersheds.gpkg + | + ├───🔵 FloodAdaptModelBuilder.exe + | + ├───🔵 unins000.dat + | + └───🔵 unins000.exe +``` + +For full functionality, users must provide: + +1. **DEM (Digital Elevation Model)**: a `.tif` file named `dem.tif` in the `topobathy` folder. +2. **Watersheds Geopackage**: A `.gpkg` file named `watersheds.gpkg` in the `watersheds` folder. + +For detailed instructions on creating a SFINCS model using the Model-Builder tool, continue to the [SFINCS model-builder documentation](hydromt_sfincs_gui.qmd). diff --git a/docs/3_setup_guide/database.qmd b/docs/3_setup_guide/database.qmd index 74ab5fa1e..6ff2094ed 100644 --- a/docs/3_setup_guide/database.qmd +++ b/docs/3_setup_guide/database.qmd @@ -1,5 +1,238 @@ --- -title: Database Setup +title: Database-Builder +filters: + - lightbox +lightbox: auto --- + The FloodAdapt database-builder is intended to greatly simplify the process of setting up FloodAdapt in a new location. The FloodAdapt software is an 'empty shell' that must be connected to a site-specific database. The database-builder aids the user in setting up this database. -Coming soon. + The most critical components of the FloodAdapt database are the SFINCS and Delft-FIAT models, both of which can now be generated with greater ease using the [SFINCS model-builder](SFINCS/index.qmd) and the [Delft-FIAT model-builder](Delft_Fiat/index.qmd). Once these have been created, users can run the FloodAdapt database-builder to generate a complete database for a functioning FloodAdapt application at their site. + + To run the database-builder, a user double-clicks the FloodAdapt database-builder executable. This opens a screen where the user can enter a file path to the database-builder configuration file. + + This documentation will describe the FloodAdapt database-builder configuration file. Depending on the amount of information included in the configuration file, different FloodAdapt functionalities will be activated. This is described in the section [FloodAdapt capabilities based on configuration](#floodadapt-capabilities-based-on-configuration). It starts by outlining the minimum information required to generate a functional FloodAdapt system, and then specifies additional functionalities and the required information in the configuration file to activate them. The section [Configuration file attributes](#configuration-file-attributes) specifies all of the attributes that can be included in the database-builder configuration and includes details about their format and use. + + +## FloodAdapt capabilities based on configuration +There are different functionalities that are activated in FloodAdapt depending on the information contained in the configuration file. This section starts by describing the information needed for the [baseline FloodAdapt configuration](#baseline-floodadapt-configuration), which is the minimum needed to set up a functional FloodAdapt system. Note that an important requirement is that a Delft-FIAT model and an overland SFINCS model have been set up for the site. The subsequent sections then describe additional FloodAdapt functionality that is activated with additional configuration input. + +### Baseline FloodAdapt configuration +A baseline FloodAdapt configuration is a functional version of FloodAdapt that requires the minimum amount of configuration file input. This version allows users to run event scenarios for either a synthetic event or a historical gauged event. All measures and future projections are available for analysis. Note that because it only supports event scenarios, the risk and benefits options are not available for this baseline configuration. + +A baseline FloodAdapt configuration allows users to get started with FloodAdapt with relatively little required information. The following is all that is required for a baseline configuration: + +* A name for your site +* The path to your overland SFINCS model folder +* The path to your Delft-FIAT model folder +* The unit system you want to work in (imperial or metric) +* Max values for output maps displayed in the FloodAdapt user interface + +::: {.callout-tip} +#### Including the baseline configuration attributes in the database configuration file +The name of your site, paths to your SFINCS and Delft-FIAT models, and the unit system are all specified in the header section of the configuration file which is described under 'Configuration file attributes' in the [Header attributes section](#header-attributes). The max values for output maps are specified in the [GUI attributes section](#gui-attributes). +::: + +### Risk and benefit analysis +The baseline FloodAdapt configuration allows users to simulate event scenarios, which can be very insightful. However, risk scenarios allow users to understand the current and future risk to a community (considering many types of events), with and without adaptation options, and to calculate the risk-reduction benefits of adaptation strategies. To activate the risk scenario and benefit analysis functionality, a [probabilistic event set](risk_analysis.qmd) is required. When this set is included in the FloodAdapt database, FloodAdapt can calculate the flooding for all the events in the set and uses a probabilistic calculator to calculate return period flooding, impacts, and risk. + + + +::: {.callout-tip} +#### Including a probabilistic event set in the database configuration file +Specifying a probabilistic event set is done in the Header section of the configuration file. See the attributes in the Header section under 'Configuration file attributes' in the [Header attributes section](#header-attributes). +::: + +### Simulating hurricane events and 'ungauged' historical events +For FloodAdapt users to simulate a scenario with a historical hurricane, or to simulate a historical event for which there are no measured nearshore water levels, an offshore SFINCS model needs to be included in the FloodAdapt database (this can be created with the [SFINCS model-builder](SFINCS/index.qmd)). Once an offshore model is included, users will see additional event types that can be selected when they click "Add Event" in the FloodAdapt Events tab (see @fig-DB_offshore). If a specific cyclone basin is specified in the database configuration file, only hurricanes in the specified basin will be included in the database and displayed in the hurricane selector window (which appears when the 'Historical - hurricane' option is chosen); see @fig-DB_cyclonesNA. Note that if hurricanes are not relevant in an area, but an offshore model is included to simulate ungauged historical events, the hurricane event option can be "turned off" in the database configuration file. + + +![**Adding an offshore model activates the ability to select a hurricane event, as well as an 'ungauged' historical event. Both of these event types make use of the offshore model. The left window shows the "Add event" popup window for the baseline FloodAdapt configuration, and the right shows with the addition of an offshore model**](../_static/images/database_offshore.png){width=70% fig-align=left #fig-DB_offshore} + +![**Hurricane selection window when a user has selected "NA" for North America as the 'cyclone basin'**](../_static/images/database_cyclones_NA.png){width=70% fig-align=left #fig-DB_cyclonesNA} + +::: {.callout-tip} +#### Including an offshore model and cyclone basin in the database configuration file +Specifying an offshore SFINCS model and a cyclone basin is done in the Header section of the configuration file. See the attributes in the Header section under 'Configuration file attributes' in the [Header attributes section](#header-attributes). +::: +### Downloading historical water levels +FloodAdapt allows users to simulate historical events. In the baseline FloodAdapt configuration, FloodAdapt users need to import their own water level time series for historical events. When a tide gauge (or alternatively a long time series CSV file) is added to the FloodAdapt database, this activates a 'Download Observed Water Levels' button in the specification window for a historical event. FloodAdapt users can then easily download water levels for a historical event by selecting a start and end date and clicking that button. @fig-DB_comp_tideGauge shows the baseline FloodAdapt configuration on the left and with the inclusion of a tide gauge on the right. For sites in the U.S. tide gauges can be added automatically based on the site location via the [NOAA COOPS](https://tidesandcurrents.noaa.gov/stations.html) website. The NOAA site also includes datum differences at gauge locations, so that users have the option to view water levels relative to a (potentially) more familiar datum (see @fig-DB_comp_tideGauge). + +![**Adding a tide gauge allows a user to activate the 'Download observed water levels' button. Additionally, it also allows users to specify different references they can view with the water level time series, and to set a different reference level ('zero') than mean sea level (MSL). The left window shows the baseline FloodAdapt configuration, and the right shows with the addition of a tide gauge.**](../_static/images/database_comp_tideGauge.png){width=70% fig-align=left #fig-DB_comp_tideGauge} + +::: {.callout-tip} +#### Including a tide gauge in the database configuration file +Details how to include a tide gauge (or long water level time series) to activate the 'Download Observed Water Levels' button are described under 'Configuration file attributes' in the [Tide Gauge section](#tide-gauge). +::: +### Social vulnerability insights + +FloodAdapt automatically generates an infographic and a metrics table which helps FloodAdapt users understand the impacts of a simulated scenario. Social vulnerability is based on a collection of socio-economic attributes that indicate a longer or harder recovery from a flood event. When a social vulnerability index (SVI) layer is included in the FloodAdapt database, FloodAdapt shows additional information in the infographic and metrics table related to how socially vulnerable people are affected in a simulated scenario. Users can also view the SVI layer in both the [Measures](../4_user_guide/measures/index.qmd) and [Output](../4_user_guide/output/index.qmd) tabs, helping to identify where to explore measures and understand the impacts to socially vulnerable people. @fig-DB_SVI_comp highlights the added information in the infographic and metrics table. It shows the baseline configuration on the left, and the configuration with an SVI layer added on the right. With the SVI layer included, users can see in the infographic the proportion of highly-vulnerable residential buildings that were damaged and destroyed. In the metrics table, they can see how many highly vulnerable residential properties were flooded. + +![**When an SVI layer and a threshold are included, the infographic will include an additional graphic showing the distribution of residential impacts on high and low socially vulnerable homes **](../_static/images/database_SVI_comp.png){width=100% fig-align=left #fig-DB_SVI_comp} + +::: {.callout-tip} +#### Including an SVI layer in the database configuration file +The attributes needed to include an SVI layer are described under 'Configuration file attributes' in the [Social vulnerability index section](#SVI_attributes). +::: + +### Visualizing water level output time series +FloodAdapt allows users to view modeled water level time series at observation points in the FloodAdapt [Output tab](../4_user_guide/output/index.qmd). The spatial flood map in the FloodAdapt Output tab is static and represents the maximum flood depth during an event. Having observation points helps users understand how the water levels evolved *during* an event. To activate this functionality, observation points can be added to the database-builder configuration file. + +![**Adding observation points activates the functionality to view water level time series output at these points in the FloodAdapt [Output tab](../4_user_guide/output/index.qmd). The left window shows the baseline FloodAdapt configuration, and the right shows with the addition of observation points.**](../_static/images/database_obsComp.png){width=100% fig-align=left #fig-DB_obscomp} + +::: {.callout-tip} +#### Including observation points in the database configuration file +The attributes needed to include observation points are described under 'Configuration file attributes' in the [Observation Points section](#observation-points). +::: + + +### Elevating buildings above base flood elevation (BFE) +FloodAdapt allows users to explore home elevations as an adaptation measure. With the base configuration, FloodAdapt users can specify how high a home should be elevated relative to a datum. However, in the U.S. standards for home elevations or elevations of new buildings are often specified relative to *base flood elevation* (BFE). This is a regulatory 100-year flood level calculated by the federal government. When users reference a base flood elevation layer in the configuration file, FloodAdapt users can choose to elevate homes above a datum or to a height above BFE. + +::: {.callout-tip} +#### Including a BFE layer in the database configuration file +The attributes needed to include a BFE layer are described under 'Configuration file attributes' in the [Base Flood Elevation section](#BFE_attributes). +::: + + +![**Adding a base flood elevation (BFE) layer activates the ability to elevate homes relative to BFE in addition to elevating relative to datum**](../_static/images/database_bfe_comp.png){width=100% fig-align=left #fig-DB_obscomp} + +### Sea level rise scenario selection +FloodAdapt allows users to explore the flooding and impacts for future sea level rise projections. In the base configuration case, users have access to this functionality, and can enter a sea level rise explicitly, for example "0.5 feet". However, FloodAdapt users may want to explore flooding and impacts at a specific point in the future, for example in 15 or 20 years, and they may not know the sea level rise to expect in that future year. To facilitate these users, a sea level rise scenario CSV file can be included in the database setup. There are many sources for sea level rise scenarios, such as the [interagency sea level task force](https://sealevel.globalchange.gov/resources/2022-sea-level-rise-technical-report/). There is no limit to the number of SLR scenarios a user can include. FloodAdapt uses this file to generate a visualization showing the different SLR scenario curves in the [Projections](../4_user_guide/projections/index.qmd) selection window. It also allows a user to enter a future year and select a SLR scenario, and then automatically calculates the sea level rise for that year. + +::: {.callout-tip} +#### Including SLR scenarios in the database configuration file +The attributes needed to specify SLR scenarios are described under 'Configuration file attributes' in the [Sea Level Rise Scenarois section](#sea-level-rise-slr-scenarios). +::: + +![**Including a sea level rise scenario CSV file allows a user to select one of the SLR scenarios and a future year, and FloodAdapt automatically calculates the sea level rise**](../_static/images/database_SLR_comp.png){width=100% fig-align=left #fig-DB_slrComp} + +::: {.callout-note} +#### What about when sea level rise scenarios change? +Sea level rise scenarios are updating every few years. Updating the sea level rise scenarios in FloodAdapt is a simple as updating the CSV file with the years and projected sea level rise. FloodAdapt will then automatically use the new information when a FloodAdapt user selects a future year and a sea level rise scenario. +::: + +## Configuration file attributes + +### Header attributes + +@fig-DB_header shows the **mandatory** attributes that are given at the top of the configuration file. These are required for all configurations, including the baseline configuration. These will be described below. + +![**Snippet showing the mandatory attributes of the top of the configuration file**](../_static/images/database_attr_baseline.png){width=100% fig-align=left #fig-DB_header} + +**Mandatory** attributes are: + +* **name** - this is the name of the database folder for your site +* **database_path** - this is the path where your database folder will be saved +* **sfincs** - this is the location of your SFINCS overland model +* **fiat** - this is the location of your Delft-FIAT model +* **unit system** - this is either "imperial" or "metric" + +@fig-DB_header_optional shows the **optional** attributes that are given at the top of the configuration file. These will be described below. + +![**Snippet showing the optional attributes of the top of the configuration file**](../_static/images/database_header_optional.png){width=100% fig-align=left #fig-DB_header_optional} + +**Optional** attributes are: + +* **sfincs_offshore** - this is the location of your SFINCS offshore model. +* **cyclone_basin** - this is the region code (given with quotation marks around it, see @fig-DB_header_optional) where your site is located, for filtering the tropical cyclones (hurricanes) that show up in the hurricane selection window in FloodAdapt. Region codes are described below this list. +* **probabilistic_set** - this is the path to the prepared event set and event frequencies which enable risk analysis +* **cyclones** - this is by default "True", but if set to "False" hurricanes will not show up as an option when a user selects "Add Event" in FloodAdapt + +For the **cyclone_basin** the region code options are: + + - NA = North Atlantic + - SA = South Atlantic + - EP = Eastern North Pacific (which includes the Central Pacific region) + - WP = Western North Pacific + - SP = South Pacific + - SI = South Indian + - NI = North Indian + + + +### GUI attributes +![**Snippet showing the attributes of the GUI**](../_static/images/database_GUI_snippet.png){width=100% fig-align=left #fig-DB_GUI} + +@fig-DB_GUI shows the attributes that are required for the GUI. These are **mandatory** attributes that must be included in all configuration files, including the base configuration file. + +The GUI attributes all have to do with maximum values. These are used to create automatic bins for the spatial mapping of flooding, impacts, and benefits. + +Start the GUI attribute section with [gui]. The values that need to be specified are: + +* **max_flood_depth** - this will be the highest legend value in the output flood maps (above which all values get the same color). +* **max_aggr_dmg** - this will be the highest legend value in the output aggregated damages maps (above which all values get the same color). A good choice for this value will depend on the size of your aggregation, the density of the building footprints, and the currency value in the application area. It can be difficult to know apriori what to pick here, but the value can always be changed later in the FloodAdapt database static/site.toml file under the [gui.mapbox_layers] section. +* **max_footprint_dmg** - this will be the highest legend value in the output building damages maps (above which all values get the same color), and can be estimated based on the maximum potential values of the buildings in the site area. +* **max_benefits** - this is the maximum value for the spatial benefits. This can also be difficult to estimate apriori, but can be changed later in the FloodAdapt database static/site.toml file under the [gui.mapbox_layers] section. + +### Building footprints +The attributes for building footprints are shown in @fig-DB_BFs. A building footprint layer allows users to visualize the building footprint damages in the output maps (instead of only points). Note that if a building footprint file is not included, the database-builder will automatically add Open Street Map building footprints to support the visualization of building damages in the FloodAdapt application. + +![**Snippet showing the attributes of the baseline configuration**](../_static/images/database_attr_BFs.png){width=100% fig-align=left #fig-DB_BFs} + +For building footprints, start the section with [building_footprints] and provide the following attributes: + +* **file** - this is the path to the building footprint file (this should be a vector file, like a shapefile or a geopackage), making sure to use forward slahses in the paths. +* **field_name** - this should be a unique identifier attribute in the vector file, like an Object ID. + +### Tide Gauge +The attributes needed to include a tide gauge are shown in @fig-DB_tideGauge. The inclusion of a tide gauge allows FloodAdapt users to automatically download water levels for a specified start and end time. + +![**Snippet showing the attributes of the tide gauge configuration**](../_static/images/database_tideGauge_extended.png){width=100% fig-align=left #fig-DB_tideGauge} + +For a tide gauge, start the section with [tide_gauge] and provide the following attributes: + +* **source** - this is either "noaa_coops" if you want to use the closest NOAA gauge station from https://tidesandcurrents.noaa.gov/stations.html (only available in the U.S.) OR "file" if you will be providing gauge data (water level time series) in a CSV file. +* **file** - this is only required if the source is equal to "file". It should be the path to a CSV file containing the gauged water level time series. The CSV file should have two columns; the first contains a 'datetime' in the format DD/MM/YYYY HH:MM and the second column contains the water levels relative to mean sea level. +* **ref** - this is an optional attribute; if provided, it will be used as the 'zero' when plotting event water levels in the event specification window of FloodAdapt. +* **[tide_gauge.max_distance]** - this is a section to specify the maximum radius around the site to search for a tidal gauge station. This prevents tide gauges being applied to a site that are too far away to be representative. The attributes that fall under this are **value** which gives a numeric value for the distance, and **units** which specifies the unit of the value (e.g. "miles"). See @fig-DB_tideGauge for an example. + +### Social vulnerability index (SVI) {#SVI_attributes} +The attributes needed to include an SVI layer are shown in @fig-DB_SVI. The inclusion of an SVI layer allows FloodAdapt users to get additional information in the infographic related to who is being impacted, and to view the layer in the FloodAdapt Measures and Output tabs. + +![**Snippet showing the attributes of the SVI layer configuration**](../_static/images/database_SVI.png){width=100% fig-align=left #fig-DB_SVI} + +For an SVI layer, start the section with [svi] and provide the following attributes: + +* **file** - this is the path to the geospatial file with the SVI layer +* **field_name** - this is the name of the attribute in the geospatial file that contains the social vulnerability index. +* **threshold** - this is the value of the SVI above which homes will be considered to have a high social vulnerability. + +### Base flood elevation (BFE) {#BFE_attributes} +The attributes needed to include a BFE layer are shown in @fig-DB_BFE. The inclusion of a BFE layer allows FloodAdapt users to elevate buildings relative to this layer, in addition to being able to elevate relative to datum. + +![**Snippet showing the attributes of the BFE layer configuration**](../_static/images/database_bfe_snippet.png){width=100% fig-align=left #fig-DB_BFE} + +For a BFE layer, start the section with [bfe] and provide the following attributes: + +* **file** - this is the path to the geospatial file with the BFE layer +* **field_name** - this is the name of the attribute in the geospatial file that contains the base flood elevation. + +### Sea level rise (SLR) scenarios +The attributes needed to include SLR scenarios are shown in @fig-DB_slr. The inclusion of a SLR scenarios file allows FloodAdapt users to enter a future sea level rise projection by selecting a SLR scenario and a year in the Projections window of FloodAdapt. + +![**Snippet showing the attributes of the SLR scenarios configuration**](../_static/images/database_SLR_snippet.png){width=100% fig-align=left #fig-DB_slr} + +For SLR scenarios, start the section with [slr.scenarios] and provide the following attributes: + +* **file** - this is the path to the CSV file that contains the SLR scenario information. @fig-DB_slr_csv shows an example of the CSV file format. The first column should contain the year, the second column the units, and each additional column should contain the projections at the specified years in column 1. Each SLR scenario column should contain a header with the name of the SLR scenario. These are the names that will show up in the Projections window. +* **relative_to_year** - this is the year you want the SLR projections relative to. Often SLR scenarios are relative to an older date, for example the year 2000. If you want to know how a recent event would look with SLR, you will want to know the SLR relative to a more recent year. The relative_to_year does not need to be exactly the current year, but should be within a few years of events of interest. When a user selects a SLR scenario and a year, FloodAdapt will then automatically calculate the SLR relative to the date selected here. + +![**Snippet showing an example of a SLR scenario CSV file**](../_static/images/database_slr_csv.png){width=100% fig-align=left #fig-DB_slr_csv} + +### Observation points +The attributes needed to include observation points are shown in @fig-DB_obs. The inclusion of observation points allows FloodAdapt users to visualize a time series of water levels at these points throughout a simulated event (rather than only a maximum flood depth as is shown in the spatial maps). + +![**Snippet showing the attributes of the observation points configuration. In this example there are two observation points included. Each one begins with a the double-bracketed "obs_point" header**](../_static/images/database_obs_snippet.png){width=100% fig-align=left #fig-DB_obs} + +Users can enter multiple observation points. These are treated as a list, which means that each observation point gets its own section with the same name (obs_point), enclosed in a double square bracket. + +For observation points, start the section with [[obs_point]] (one for each observation point) and provide the following attributes: + +* **name** - this is the name of your observation point. This name cannot contain spaces or special characters. +* **description** - this a descriptive name of your observation point. This will show up at the top of the time series plot in the FloodAdapt Output tab. +* **lat** - this is the latitude of your observation point. +* **lon** - this is the longitude of your observation point. diff --git a/docs/3_setup_guide/index.qmd b/docs/3_setup_guide/index.qmd index 9fec766c7..437fc5380 100644 --- a/docs/3_setup_guide/index.qmd +++ b/docs/3_setup_guide/index.qmd @@ -1,10 +1,37 @@ --- title: "Setup Guide" +filters: + - lightbox +lightbox: auto --- +The FloodAdapt application can be freely downloaded and used in any coastal community. However, for FloodAdapt to operate, it requires a site-specific database. The FloodAdapt database must contain at minimum an overland flood model (currently the open-source compound flood SFINCS model is supported), a flood impact model (currently the open-source Delft-FIAT model is supported), and some site specific information such as the name and location of the site. The amount of information included in the FloodAdapt database will determine the degree to which its functionalities will be activated (this is described in detail in the [database setup section](database.qmd)). Most notably, to be able to run risk and benefit calculations, an event set must be prepared. -Please follow the steps described in the sections below to set up a FloodaAapt Model. +To make it easier for communities to get started with FloodAdapt, supporting tools and guidance have been created. This setup guide walks a technical user through the setup process for FloodAdapt, focusing on three key database ingredients: The SFINCS model, the Delft-FIAT model, and the probabilistic event set for risk analysis. Model-builder software has been created to prepare a SFINCS and Delft-FIAT model, built on open-source model-building functionalities for these two software products. Software was also developed to create the FloodAdapt database once The SFINCS and Delft-FIAT models have been set up. @fig-setupOverview shows the workflow for getting a FloodAdapt system operational in a new community. The preparation of the event set is optional. FloodAdapt will be able to run event scenarios with full functionality without an event set. -1. [SFINCS Setup](SFINCS/index.qmd) -2. [Delft FIAT Setup](Delft_Fiat/index.qmd) -3. [Event Setup](risk_analysis.qmd) -4. [Database Setup](database.qmd) +![**Overview of the setup process for FloodAdapt. A SFINCS and Delft-FIAT model are required; an event set (which allows users to calculate risk and risk-reduction benefits) is optional. Tools have been developed to build a SFINCS and Delft-FIAT model, and to prepare the FloodAdapt database**](../_static/images/setup_overview_diagram.png){width=75% fig-align=left #fig-setupOverview} + +The setup guide consists of the following sections: + +1. [**SFINCS Setup**](SFINCS/index.qmd) - gives an overvivew of the SFINCS model and walks the user through the use of the [SFINCS model-builder](SFINCS/hydromt_sfincs_gui.qmd) to create an overland SFINCS model. + +2. [**Delft FIAT Setup**](Delft_Fiat/index.qmd) - gives an overview of the Delft-FIAT model and walks the user through the use of the [Delft-FIAT model-builder](Delft_Fiat/hydromt_fiat_gui.qmd). + +3. [**Event Set**](risk_analysis.qmd) - provides guidance and examples how to create a probabilistic event set for risk analysis in a compound flood area. + +4. [**Database Setup**](database.qmd) - describes the preparation of a configuration file to use with the database-builder tool to create a FloodAdapt database. + +## Installation of setup tools +To download and install the **FloodAdapt model-builder** on your computer: + +* Download the FloodAdapt model-builder installer from the [Deltares USA website](https://www.deltares-usa.us/floodadapt-model-builders). +* Double-click the "FloodAdaptModelBuilder_Installer" file and the setup wizard will open (see @fig-setupWizard). Follow the steps of the installation wizard. + +![**FloodAdapt model-builder installation setup wizard**](../_static/images/installation_modelbuilders_setupWizard.png){width=50% fig-align=left #fig-setupWizard} + +* Guidance how to use the model-builder software to build a SFINCS model is provided in the [SFINCS setup guide](SFINCS/hydromt_sfincs_gui.qmd) and guidance to use the software to build a Delft-FIAT model is provided in the [Delft-FIAT setup guide](Delft_Fiat/hydromt_fiat_gui.qmd) + +To download and install the **FloodAdapt database builder** on your computer: + +* Download the FloodAdapt database-builder executable from the [Deltares USA website](https://www.deltares-usa.us/floodadapt-database-builder). +* The database-builder is an executable file and does not require any installation. Just double-click to use it. +* Guidance how to use the database-builder is provided in the [Database Builder guide](database.qmd) diff --git a/docs/3_setup_guide/risk_analysis.qmd b/docs/3_setup_guide/risk_analysis.qmd index ec06fb3b3..1b3f41665 100644 --- a/docs/3_setup_guide/risk_analysis.qmd +++ b/docs/3_setup_guide/risk_analysis.qmd @@ -1,4 +1,231 @@ --- -title: Event Setup +title: Event Set +filters: + - lightbox +lightbox: auto --- -Coming soon. + +This guidance provides support for preparing an **event set** to be used in FloodAdapt to calculate probabilistic flood maps, impacts, and risk. An event set consists of a set of events, defined by variables like surge, tide, and rainfall, and their occurrence frequencies. To see how FloodAdapt uses an event set to calculate risk, take a look at the [FloodAdapt technical documentation on risk analysis](../5_technical_docs/RiskScenario.qmd), particularly the part about the [probabilistic calculator](../5_technical_docs/RiskScenario.qmd#probCalculator). + +The method described in this guidance is known as the Joint Probability Method (JPM). In the JPM, all types of hydro-meteorological events that may lead to flooding in an area of interest are identified. Subsequently, a representative set of (synthetic) events is selected, covering as much as possible the whole range of events that may contribute substantially to the overall flood risk. The likelihood of occurrence of each event is estimated from key statistics of the relevant flood drivers like rainfall, river discharge, and sea level. + +Note that this guide focuses on non-hurricane events. For the derivation of a hurricane event set, which can be combined with a set of non-hurricane events, please see the [comprehensive FEMA guide from 2023](https://www.fema.gov/sites/default/files/documents/Coastal_Statistical_Simulation_Methods_Nov_2023.pdf). + +::: {.callout-note} +### Event-based approach versus time-series approach +The joint probability method supports an event-based approach, like the one used in FloodAdapt. In this approach, synthetic events are generated and their occurrence frequencies are determined based on the joint probability of the variables defining the event (like surge and rainfall). Another approach is a time-series approach, where simulations are based on either a historical or synthetic time series of flood drivers. Probabilities do not need to be quantified in a time-series approach because correlations will be represented by the long time series. The time-series approach is easier to apply and easier to standardize, but requires long good-quality records of all relevant flood drivers, which are usually not available. +::: + +## Steps to prepare an event set + +This guide is organized around key steps in preparing an event set. + +1. [Identify flood drivers and define variables](#identify-relevant-define-variables) + + Determine the flood drivers that have a significant impact on the flood risk in the area (e.g. rainfall, river discharge, sea levels), and select appropriate variables that best represent the characteristics of the identified flood drivers. + +2. [Calculate probabilities of variables](#quantify-probs) + + Calculate the probability distribution of the flood driver variables. + +3. [Calculate joint probabilities](#calculate-joint-probs) + + Calculate correlation between variables and the joint probability of occurrence of the flood driver variables. + +4. [Select events and calculate their frequencies](#select-events) + + Select a set of events (defined as a combination of flood driver variables) and quantify their occurrence frequencies. + +5. [Format the events for FloodAdapt](#format-events) + + Prepare the set of events (event specs and frequencies) in the format required for FloodAdapt. + + +## Step 1 - Identify flood drivers and define variables {#identify-relevant-define-variables} + +The initial step in setting up a probabilistic flood risk assessment involves identifying the most relevant flood drivers in the project area. In coastal zones, floods may be caused by (combinations of) intense rainfall (pluvial flooding), high river discharges (fluvial flooding), groundwater tables rising above the ground surface (groundwater flooding), and high tides, storm surges, and waves (coastal flooding). In a probabilistic analysis, these flood drivers are represented by variables that quantify a specific characteristic of the flood driver, such as daily rainfall or peak storm surge. These variables are sometimes referred to as “stochastic variables” or “random variables,” acknowledging the fact that they can take on a range of values that have probabilities of occurrence/exceedance associated with them. + +The choice of the most suitable variable to represent a flood driver depends on the system under consideration. For example, for an assessment of a storm sewage system, a suitable variable may be the 15-minute or 1-hour rainfall, whereas for larger catchments the daily rainfall or multi-day rainfall is more relevant. For the design of river embankments, the peak discharge is a suitable choice, whereas for the design of a reservoir the total volume of flow during the entire flood event is also relevant. In some cases, it may be worth considering representing a flood driver with multiple variables. For example, river discharge can be represented by a combination of peak flow and flow volume. + +Limiting the number of variables in a probabilistic flood risk assessment is crucial due to the exponential increase in the required model simulations, which can impact practical feasibility and computational resources. Consider a scenario where only two variables—rainfall and storm surge—are selected, each with five possible realizations. This setup yields 25 possible combinations (5×5), necessitating 25 model runs to assess flood conditions and impacts. This number of simulations is generally manageable. However, increasing the variables to four, each with five realizations, results in 625 possible combinations (5×5×5×5), significantly increasing the simulation time. If the number of variables increases to six, this leads to a staggering 15,625 combinations (5^6), which may not all need simulation but illustrate the potential scale of the assessment. + +While a comprehensive analysis ideally covers all relevant flood events, practical constraints often necessitate a balance. The choice of the number of model simulations is a trade-off between accuracy and simulation time. It is important to understand the relationship between the flood drivers and flood response, which may come from existing knowledge of the area or from exploratory simulations with a Hydrologic/Hydraulic (H&H) model. Conducting a sensitivity analysis with the H&H model for each candidate variable allows quantification of the sensitivity of the flood hazard and impact. Variables for which this sensitivity is relatively small can be replaced by a constant value, reducing the complexity of the analysis and computation times. For example, while the peak river discharge is a critical variable if a project area is along a river, in coastal areas where water levels are dominated by the sea, a constant river discharge might suffice, verified through sensitivity analysis to assess its impact. This demonstrates the essential balance between accuracy and practicality in setting up probabilistic flood risk assessments, aiming to include as many variables as necessary but as few as possible to maintain manageability and effectiveness, particularly if scenarios need to be re-evaluated frequently due to changing climate conditions or socio-economic factors. + + +## Step 2 - Calculate probabilities of variables {#quantify-probs} + +Flood events are described as a combination of realizations of the selected flood driver variables. For each event considered in the probabilistic analysis, the probability of occurrence is needed to be able to quantify the contribution of such an event to the overall risk. The event probabilities are derived from probabilities of the flood event variables. In some cases, probability distributions of variables are readily available. NOAA, for example, offers nation-wide statistics on rainfall (NOAA rainfall). In other instances, probabilities need to be derived either from gauge records or from expert judgement.This section focuses on deriving probabilities/statistics from gauge data. + +The main steps in deriving (joint) probabilities of the flood variables are: + + +* **[Data gathering and validation](#data-gathering-and-validation)** - this step involves collecting and ensuring the quality of time series of the variables for which we want to derive probability distributions + +* **[Correcting for non-stationarity](#dealing-with-nonstationarities)** - this step involves correcting for changes in the system or trends which would make distribution fitting techniques invalid + +* **[Extreme value analysis](#EVA)**- this step fits distributions to the extreme tails of the flood variable distributions + +* **[Combining statistics of extreme events and average conditions](#combining-statistics)** - this step creates a distribution that is correct for both average values of the variables and extreme values + +#### Data Gathering and Validation {#data-gathering-and-validation} + +Data gathering is a critical step in flood risk assessment. Important considerations include the record length, temporal resolution, number of stations, and data validation processes. Long records are preferable as they provide more comprehensive information on "extremes," which are crucial for analyzing flood risks. + +- **Record Length**: Longer records are more valuable because they include more rare events, which are important for understanding the full range of possible scenarios. They also allow for more robust statistical analyses. + +- **Temporal Resolution**: The temporal resolution of the data should align with the scale of the hydrological processes being modeled. For urban drainage studies, minute-by-minute data may be necessary, whereas for river basin studies, daily values may suffice. + +- **Number of Stations**: Gathering data from multiple stations is generally preferred over using data from only one station. This provides valuable information on spatial variability. Furthermore, comparing data between nearby stations is an excellent way to validate data. + +- **Data Validation**: It is critical to validate the data to ensure its accuracy and reliability. This involves checking for anomalies or errors, such as outliers that might indicate data recording errors, especially for extreme values. + + +#### Dealing with Non-Stationarities {#dealing-with-nonstationarities} + +Sometimes, data is collected from a period when the system under consideration was significantly different from the current situation. As a result, the recorded time series may be non-stationary, meaning that probabilities of occurrence/exceedance can change over time. Various factors could cause changes in the system over the years, including climate change, sea level rise, urbanization, morphological changes, and human interventions like reservoirs. In such cases, caution is needed when using this data, as it could lead to over- or underestimation of current flood risk. One option is to discard earlier data, but this removes potentially useful information and may leave too little data to derive reliable statistics. Alternatively, 'corrections' can be applied to make the data set (approximately) stationary again. The aim of these corrections is to estimate what the observed time series would have looked like if the system conditions had been the same as they are today. + +For coastal systems, corrections for sea level rise are almost always necessary. Due to sea level rise, the exceedance probabilities of sea water levels increase over time, making early observations non-representative of current conditions. A simple correction is to add the amount of observed sea level rise since year Y to all observations from that year. For instance, if sea levels have risen by 0.5 ft since 1990, all water levels observed in 1990 should be increased by 0.5 ft to reflect current conditions. This adjustment requires an understanding of the extent of sea level rise, which is complicated by year-to-year fluctuations that can obscure the long-term trend. To address this, a trend line might be fitted through the data, although this process can be somewhat subjective. + +![**Observed annual mean sea levels, linear trend line from NOAA and fitted LOWESS trendline**](../_static/images/eventSet_trendLine.png){width=50% fig-align=left #fig-trendLine} + +@fig-trendLine illustrates annual average observed sea water levels from 1996-2020 in Charleston, SC (blue dots), with the black line representing a linear trend line as derived by NOAA (NOAA SWL trend), and the red line showing a non-linear trend line using the LOWESS method (Cleveland, 1979). The estimated average sea level in 2020 differs by approximately 0.3 feet between the two methods, indicating that the choice of method can significantly influence the estimated flood risk. The linear fit does not account for the notable increase in sea water levels observed since 2014, suggesting the LOWESS fit might be more appropriate. However, this increase could be an anomaly; a similar sharp rise occurred in the 1940s, but by the late 1950s, the data returned to align with the linear trend. This variability demonstrates that past sea level rise is uncertain, and it may be prudent to consider both trend lines when assessing potential impacts on flood risk. + +In cases like these (sea level rise, implementation of a reservoir) the recorded time series are clearly non-stationary and the cause of the non-stationarity is known. In other situations, there may be an observed trend for which it is unclear if this is due to a change in the system or if it is merely a coincidence. In that case, statistical tests can be applied to assess the likelihood of the trend being just a coincidence. IExamples of such tests are the Mann-Kendall test (Mann, 1945; Kendall, 1975) and the Wilcoxon-Mann-Whitney test (Wilcoxon, 1945; Mann and Whitney, 1947). + +#### Extreme Value Analysis {#EVA} + +Extreme value analysis is used to derive statistics of the "extremes" in a record, based on limited information. For floods, this is important because often it is the extreme values of the flood variables that lead to a flood event, but these occur infrequently. Extreme value analysis involves selecting peaks (either annual maxima or peaks over threshold) and fitting them to appropriate probability distribution functions. + +##### **Selection of peaks** +The first step in the process is to select a subset of the record that contains the extreme variable values. This is generally either the set of highest recordings in each year, known as annual maxima (AM) or the set of recordings that exceed a user defined threshold, known as peaks over threshold (POT). + +For annual maxima the selection can be done for each calendar year, but it can also be done for a “water year” which may have a different start date than January 1st. The start of the water year should preferably be chosen in a season where little or no extremes are expected. This way, the chance is small an extreme event occurs right around the start of the year and is selected as the annual maximum for two consecutive years (for example, if high peaks occur on December 31st and January 1st that are caused by the same meteorological event). + +For peaks over threshold, only a single value per event should be selected. So, for example, if a river discharge exceeds the threshold for five consecutive days, these can all be considered part of the same event and only the highest observed discharge during these five days should be selected as the peak discharge. It is recommended to define a time window during which only one peak can be selected to assure the selected peaks all represent independent events. The size of the window depends on the system/process under consideration. For a small mountain stream, a window of one or two days may suffice, whereas for a large river basin (> 25,000 square miles) the window should be at least 10 days. +A suitable choice of the threshold in a POT analysis also depends on the system under consideration. A lower threshold has the advantage that a larger number of peaks is selected which decreases the uncertainty in the probability distribution function that is subsequently derived from the selected peaks. On the other hand, it also results in lower peaks to be selected, which may be less representative of the extremes for which probabilities need to be derived, which may not be representative for the extremes for which statistics are derived. A pragmatic strategy is to choose the threshold in such a way that the number of selected peaks is equal to the number of years. This strategy is sometimes referred to as “Annual Exceedance” (AE). Note that this series is not the same as AM, even though they both have the same number of peaks. + +##### **Selection of a probability distribution function** +The next step is to select a probability distribution function that will be fitted to the selected set of peaks. According to the extreme value theorem, the set of maxima of intervals of a fixed length (such as a year) has a Generalized Extreme Value (GEV) distribution. POT data follows a Generalized Pareto Distribution (GPD). Both GEV and GPD are three-parameter distribution functions with a location-, scale- and shape-parameter. + +The GEV and GPD are generalized distributions of which other probability distributions are special cases: Gumbel, Fréchet and Weibull (GEV) and exponential and Pareto (GPD). The value of the shape parameter determines which of the underlying distributions is applicable for the data. If the shape parameter is approximately equal to zero, the Gumbel (GEV) and exponential (GPD) distribution functions should be used. If the shape parameter differs from zero, the Fréchet and Weibull (GEV) and Pareto (GPD) should be used. The value of the shape parameters can be derived from the selected set of peaks (see later this section on fitting distribution functions). + +@fig-GEVGPD shows examples of these distribution functions for daily rainfall. The rainfall is plotted against the corresponding exceedance probability on a semi-logarithmic scale. It shows that the two distribution functions for which the scale parameter is equal to 0 (Gumbel and exponential) are straight lines on this scale. The Weibull distribution is curved “downward”, while the Fréchet distribution is curved “upward”. Similar upward and downward curves can be seen for the GPD (right plot); in both cases the distribution function is called the Pareto distribution. +According to the theory, only the GEV and GPD or one of the underlying probability distribution functions (Gumbel, Fréchet, Weibull, exponential and Pareto) should be used to fit the set of selected extremes. In practice, however, other probability distribution functions are used as well. For example, the Log-Pearson Type 3 was adopted by US federal agencies for applications in flood frequency analysis. + +![**Examples of the GEV and GPD and underlying distributions. The plots show the probability of exceedance of annual maxima (left) and Peaks Over Threshold (right). **](../_static/images/eventSet_GEV_GPD.png){width=50% fig-align=left #fig-GEVGPD} + +The graphs in @fig-GEVGPD show the probability of exceedance of annual maxima (left) and peaks over threshold (right) data. The exceedance probability of AM also represents the annual exceedance probability of the variable for which the distribution function was derived. For POT data, this is not the case because the number of peaks in a POT data set can be larger or smaller than the number of years. To convert to an annual exceedance probability, the derived exceedance probabilities of POT data must be multiplied by the average number of exceedances of the selected threshold in a year (denoted $\lambda$). Parameter $\lambda$ can be estimated by dividing the number of selected peaks by the number of years in the record. Note that $\lambda$ is a frequency of occurrence (per year). Multiplication of this frequency with a probability of exceedance from the POT data results in a frequency of exceedance. + +::: {.callout-note} +### Probability and Frequency +The terms “probability” and “frequency” are often used interchangeably to quantify the likelihood of a specific event occurring within a defined period. These two terms are similar, but not the same. Probability refers to the chance that an event will occur in a fixed period, typically a year. Frequency refers to how often such an event will occur on average during a fixed period. For example, at some location the probability of more than 5 inches of rainfall in a day may be estimated at 1/20 per year. That means each year there is a probability of 1 in 20 that more than 5 inches of rainfall is recorded in a day. In this case, the frequency is also equal to 1/20 per year, indicating such an event will occur on average once every 20 years. However, for events that occur more often, probability and frequency differ. For example, an event with more than 2 inches of rainfall in a day may occur on average twice per year. That means such an event has a frequency of 2 (per year). The probability of such an event happening in a year will be less than 1 since probabilities are, by definition, between 0 and 1. Probability is a quantification of the chance of such an event occurring at least once in a year, whereas frequency is a quantification of the number of times such an event occurs on average in a year. For very rare events, probability and frequency are (approximately) equal, because such events are not expected to occur more than once per year. +::: + +##### **Fitting probability distributions** +The next step is to fit the selected distribution function to the set of extremes (AM or POT). This means the parameter values of the distribution function are chosen such that key statistical characteristics of the distribution function correspond as much as possible with those of the set of extremes. There are several methods for deriving the parameter values, such as the maximum likelihood method, the method of moments, probability weighted moments and L-moments. Such methods are available in computational programming languages like Matlab, Python and R. Alternatively, dedicated software for flood frequency analysis can be used such as PeakFQ. +In principle, any of these methods will do, but it is worth considering applying several methods to verify which one provides the best fit. There are statistical methods to quantify the goodness-of-fit like the Kolmogorov-Smirnov test, the Chi Square test or Anderson-Darling test. Each of these tests compares key characteristics of the data set with the fitted distribution function; smaller differences imply a better fit. The outcome of such a test could be that a fit is “rejected”. In that case an alternative distribution function and/or fit method should be considered. The fact that there are different tests to choose from indicates there is some subjectivity involved in determining the “best” fit. It is recommended to also visually compare the fitted distribution function with the data, similar to the example of @fig-fitGPD. If the visual fit is not to satisfaction, a different distribution function and/or different fit methods should be considered. + + +![**Example fit of the GPD function to Peaks Over Threshold data.**](../_static/images/eventSet_fittingGPD.png){width=50% fig-align=left #fig-fitGPD} + +#### Combining statistics of extreme events and average conditions {#combining-statistics} +In flood risk analysis, the extremes as described in the previous section are the most relevant subset of the data. However, in areas with compound flooding, extremes of flood drivers do not necessarily coincide in time. For example, high intensity rainfall may occur during a period with negligible, low or moderate storm surge, and vice versa. This may result in a (substantially) different flood hazard compared to when both flood drivers are high/extreme. For a flood risk analysis with multiple flood drivers it is therefore necessary to also consider events where only a subset of the flood drivers is extreme. This means it is required to also derive probabilities of moderate/average conditions of flood drivers. + +Similar to the extreme value analysis of the previous section, probability distribution functions can be selected and fitted to the available data set. The main difference is that in this case the entire data record is used instead of a small selection. With this larger data set, the use of an empirical distribution may be more practical than fitting a parametric probability distribution function. The advantage of using an empirical distribution functions is that it is relatively straightforward to derive and does not involve subjective choices of a distribution function and fit method. The empirical distribution is a direct reflection of the data set. For example, if a daily rainfall depth of 0.1 inch is exceeded in 12% of all days in the record, this means the exceedance probability of 0.1 inch/day in the empirical distribution function is estimated to be 0.12. So, by simply counting the number of exceedances of each threshold of interest and dividing by the total number of recordings, the empirical probability is obtained. + +To derive the empirical probability distribution, sort the data in descending order. The largest value has an empirical probability of exceedance of 1/(n+1), where n is the total number of recordings. The second largest value has an empirical probability of exceedance of 2/(n+1), the third largest has an empirical probability of exceedance of 3/(n+1), and this continues all the way down to the smallest value with an empirical probability of exceedance of n/(n+1). Note that these are probabilities per time step of the time series. So, in case of a daily rainfall time series, these are exceedance probabilities per day. These can be translated to exceedance frequencies per year by multiplication with 365 (i.e. the number of days per year). Similarly, derived empirical probabilities of tidal peaks should be multiplied with 705 (i.e., the number of tidal periods in a year) to derive exceedance frequencies per year. + +![**Example combination of an empirical distribution and an extreme value distribution.**](../_static/images/eventSet_combiningDists.png){width=50% fig-align=left #fig-combiningDists} + + +The variable of interest now has an empirical distribution function, quantifying probabilities of all observed values, and an extreme value distribution function, quantifying exceedance probabilities of extremes. So, for the highest observed values in the record there are two probability estimates available. Ideally, these two probability estimates are the same, but this is often not the case. Especially for variables for which high peaks typically occur in clusters, there will most likely be a substantial difference in the two probability estimates due to the differences in the way these two probabilities were derived. @fig-combiningDists shows the empirical probability distribution (black line) and fitted extreme value distribution (red line) of the tidal peaks at an example location. It shows the exceedance frequencies according to the empirical distribution are higher than those according to the extreme value distribution function. The green dashed line shows a pragmatic way to connect the two distributions and combine them into a single probability distribution function. An alternative approach could be to “lift” the extreme value distribution such that is better connects with the empirical distribution. Such methods may seem like they are corrupting the results, but it is a necessary work-around to combine two distributions that are based on different approaches. The first approach (“each tidal peak should be included”) is valid for average/moderate conditions, whereas the second (“only the highest peak of each event is included”) is valid for extreme events. + + +## Step 3 - Calculate joint probabilities {#calculate-joint-probs} + +Event probabilities are the joint probabilities of the variables that define the event. If the variables are mutually independent, the joint probability can be calculated as the product of the the probabilities of the individual variables. However, some variables may be impacted by the same hydro-meteorological processes, which means they are not independent. For example, a storm event may cause both high storm surges and high rainfall intensities. In that case, high values of rainfall and storm surge are more likely to coincide, which means rainfall and storm surge are not independent. This needs to be accounted for when estimating event probabilities. + +Statistical dependence between two or more variables can be quantified with Pearson’s correlation coefficient, $\rho$, which can take any value in the range from -1 to 1. A value of 0 indicates two variables are independent, which means the value of one variable provides no information on the likelihood of the value of the other variable. If $\rho$ deviates substantially from 0, the variables are dependent. Positive values of $\rho$ imply that high values of one variable usually coincide with high values of the other variable, and similarly that low values generally coincide as well. Negative values of $\rho$ imply that high values of one variable usually coincide with low values of the other variable and vice versa. @fig-corr shows samples of hypothetical variables *x* and *y* for six different values of Pearson’s correlation coefficient. + +![**Samples of hypothetical variables *x* and *y* for six different values of correlation coefficient .**](../_static/images/eventSet_correlation.png){width=50% fig-align=left #fig-corr} + +Pearson’s correlation coefficient assumes a linear relation between the correlated variables, which is not always the case. If two variables are perfectly correlated, but their relation is non-linear, the value of $\rho$ will be less than 1, indicating non-perfect correlation. This is one of the reasons why a rank correlation may be preferred over Pearson’s correlation coefficient. The two most well-known options are Spearman’s and Kendall’s rank correlation coefficients. Similar to Pearson’s correlation coefficient, these two rank correlation coefficients take on values between -1 and 1. + +Even though the correlation coefficient generally is an informative measure of statistical dependence, it does not provide the complete picture on dependency structures. In some cases, for instance, the dependence between variables is higher for extremes than for moderate events due to a common cause that is especially profound during extreme events. This phenomenon is sometimes observed in discharge records of two neighboring rivers. If one river experiences extremely high discharges, this is likely to be the result of an exceptional rainfall event that may also cause high discharges in the other river. + +An effective approach to incorporate these types of correlation structures is the use of “copula functions” or “copulas”, which model the dependence structure of two or more random variables. A multivariate distribution function is then constructed using the individual probability distribution functions of the variables in combination with the copula. One of the key advantages of this method is that the derived individual probability distributions are preserved, which is not necessarily the case with alternative methods for deriving multivariate statistics. + +@fig-copulas shows example realizations of copula variables x and y for four different copulas: the Gumbel-Hougard, Frank, Clayton and Gaussian copula. In each case, the correlation coefficient is equal to 0.8, but there are differences in the overall dependence structure. Application of the Gumbel-Hougard copula results in strong dependence for values of x and y close to 1. In other words, if a sample of the first random variable (x) is relatively large, the accompanying sample of the second variable most likely is relatively large as well. The Clayton copula, on the other hand, generates a stronger dependence structure for low values of x and y. In that respect the Frank copula and the Gaussian copula are more symmetrical, where the latter shows stronger correlation in the extremes (both left and right). + + +![**Illustration of four different copulas. In all cases the correlation coefficient was assumed to be 0.8.**](../_static/images/eventSet_copulas.png){width=50% fig-align=left #fig-copulas} + +Copula variables are uniformly distributed over the interval between 0 and 1. Hydro-meteorological variables like rainfall, river discharge or water level are typically not uniformly distributed and can take on values outside the interval between 0 and 1. Therefore, in order to use the copula to model dependency between hydro-meteorological variables, a statistical transformation is applied. This transformation is done based on “equal probability of exceedance”. The transformation process is illustrated in @fig-varTransform. + +![**Transformation from copula-variable y to storm surge variable s. F(s) is the cumulative probability distribution function of s.**](../_static/images/eventSet_varTransform.png){width=50% fig-align=left #fig-varTransform} + +Since copula-variables x and y are correlated, the corresponding real-world variables (e.g. rainfall, surge) will be correlated as well. This way, a set of correlated samples of storm surge and rainfall can be generated. Conversely, the copula function and transformations can also be used to compute the probability of an event of, for example, a river discharge of more than 5,000 cfs in combination with a storm surge of more than 2 feet. To do this, these thresholds of discharge (5,000 cfs) and storm surge (2 feet) need to be translated to their corresponding copula-parameters x and y, using their respective probability distributions. + +@fig-copulas showed patterns of four copulas, but there are many other copulas available, covering essentially any correlation pattern imaginable. A copula needs to be selected that best matches the observed data. Plotting of observed joint occurrences of correlated variables may reveal which copula(s) best describe the correlation between the variables involved. For example, if the data indicate the dependency increases for large values, the Gumbel-Hougard copula is a possible candidate, whereas if the dependency increases for low values, the Clayton copula is a possible candidate. Another strategy is to try out a large set of copulas and verify which one provides the best fit of the data. There are several statistical tests available that quantify the goodness-of-fit of the copula to the data, similar to the goodness-of-fit tests for extreme value distribution functions. Such methods are available in computational software packages like Python and R. + +## Step 4 - Select events and calculate their frequencies {#select-events} +When considering the selection of events, it is important to remember its purpose: the set of events will be used to calculate return period flooding and expected annual damages. The key to event selection is to ensure that the set of events is sufficient to reliably (consistently) estimate these important variables. There are two primary ways to select events and estimate their occurrence frequencies. One is to use a Monte Carlo approach, which is most recommended when there are a lot of variables that influence the flooding. The second is numerical integration, which is is more straight-forward and advantageous (in terms of required number of events) when the number of variables is limited to two - which may be the case for many areas. + +With **Monte Carlo** sampling, a set of synthetic events is generated from the joint probability distribution of the event variables. This can be considered a representative set of possible events that may occur. For example, if an event with a joint occurrence of a peak river discharge between *Q1* and *Q2* and a peak sea water level between *H1* and *H2* has a probability of 0.05 per year according to the joint distribution, the sampling will lead to 5% of the simulated years containing an event in this range. However, since the sampling process is random by nature, the resulting percentage can also be lower or higher. + +In a Monte Carlo Simulation, events are sampled directly from the multivariate probability distribution function of the flood drivers. The event set for FloodAdapt would consist of this set sampled events. The associated probability for each event is set equal to $1/n$, where $n$ is the total number of sampled events. Note that this is not the actual probability of each event. However, by applying this probability as input in FloodAdapt, the computation of flood probabilities will be according to the Monte Carlo Simulation method. In other words, the computed probability of flooding will be equal to the number of sampled events leading to flooding, divided by the total number of simulated events. + +With **numerical integration**, the range of potential combinations of flood drivers is discretized in an n-dimensional computational grid (n being the number of flood drivers), so that all combinations are considered. @fig-NIgrid shows an example for two flood drivers: river discharge and sea water level. In @fig-NIgrid, each rectangular grid cell has a center point, representing a single event with that combination of sea water level and river discharge. The event occurrence frequency is then taken as equal to the joint occurrence frequency of the variables. The range of variables that should be included, and the spacing of the computational grid, depend on when the values of interest (flooding probabilities and risk) stabilize. Extreme combinations of variables that have a very low occurrence frequency may not contribute a noticeable amount to flood probabilities or risk. Similarly, high-frequency low values of the variables that do not lead to flooding may also be negligible. For the latter, it is important to consider if they will still be negligible under future conditions before omitting them from the event set. + +Both for Monte Carlo and for numerical integration, more events means better accuracy, but comes at a computational cost. For the Monte Carlo approach, a higher number of samples leads to better accuracy. For the Numerical Integration approach, a finer discretization of the variables leads to better accuracy. In each case, simulations with FloodAdapt can be done to assess the trade-off between number of events and accuracy of the risk and flood probability metrics. + + +![**Schematic view of selected grids for numerical integration.**](../_static/images/eventSet_NIgrid.png){width=50% fig-align=left #fig-NIgrid} + + + +## Step 5 - Format the events for FloodAdapt {#format-events} +Once you have selected events and calculated their occurrence frquencies, they must be put in the correct format for FloodAdapt. @fig-eventSet_folderDiagram shows the overall structure of the event set folder. The folder contains a sub-folder for each event in the event set and an event-set TOML file that gives the event names (which should align with the folder names) and the occurrence frequencies of the events. Each event folder should contain an event TOML file defining the event, and the time series (for the event duration) of the flood variables. More details about the [event folder contents](#event-folder-contents) and the [event set TOML file](#eventset-toml-file) are given below. + +![**Overview of the setup process for FloodAdapt**](../_static/images/eventSet_folderDiagram.png){width=55% fig-align=left #fig-eventSet_folderDiagram} + + +##### **Event folder contents** {#event-folder-contents} + +Each event folder must contain a TOML file, with the name [EVENT_NAME].TOML, where [EVENT_NAME] should be replaced with the name of your event (which is also the name of the event folder). For example, if your event is called myEvent001, then the event folder should be called myEvent100, and the TOML file should be called myEvent001.TOML. In addition, the event folder must contain a time series file (CSV format) for each of the event variables that are varying over the duration of the event. @fig-eventSet_eventFolderContents shows the contents for an event named event_001. + +![**Contents of an event folder (example)**](../_static/images/eventSet_eventFolderContents.png){width=55% fig-align=left #fig-eventSet_eventFolderContents} + +The time series CSV files are two-column files that contain a datetime in the first column and the variable value in the second column. The units of the variable will depend if you are working with imperial or metric units: + +* Rainfall - inches/hour (imperial) or mm/hour (metric) +* Tide - feet+MSL (imperial) or meters+MSL (metric) +* Surge - feet (imperial) or meters (metric) +* River discharge - cubic feet per section (imperial) or cubic meters per second (metric) +* Wind - knots (imperial) or m^3/s (metric) + + +The TOML file specifies the event. @fig-eventSet_eventTOML shows the template for an event TOML file, which includes forcing fields for river discharge, wind, rainfall, tide, and surge. In this example, there are two probabilistic event variables: rainfall and total sea water level (which includes both tide and surge). The river discharge is treated as a constant and wind is omitted because its effects are already accounted for in the total water level (which includes surge). Because the total water level variable includes both tide and surge, the surge variable is omitted (set to "none") and the total water level time series is used for the "tide" field. A couple of notes about the event specifications: + +* All potential flood drivers must be defined, even if they are set to zero or none. For example, in @fig-eventSet_eventTOML, the wind is set to "none". Similarly, the discharge is set to "constant" because it is not treated probabilistically in this event set. +* Although the events are synthetic they use the "Historical_nearshore" template because the event variables are being represented by time series like a historical event. This means that a start time and end time must be given. These can be anything in the past, as long as the duration matches the duration in the variable time series files. + +![**Example TOML file for an event named "event_0000"**](../_static/images/eventSet_eventTOML.png){width=80% fig-align=left #fig-eventSet_eventTOML} + +##### **Event set TOML file** {#eventset-toml-file} + + +The event set folder must contain an event set TOML file. This file will specify the names and occurrence frequencies of all of the events in the set. Every event specified in this TOML file must also have an associated event folder. +@fig-eventSet_probSetToml shows an example of a TOML file for a set named "probabilistic_set". + +![**Example TOML file for an event**](../_static/images/eventSet_probSetToml.png){width=100% fig-align=left #fig-eventSet_probSetToml} + +The required fields are: + +* name - this should also be the name of the event-set folder +* description - this can be anything +* mode - this should be set to "risk" +* subevent_name - this is a list of the events for which event folders have been created +* frequency - this is a list of occurrence frequencies for the events in the subevent_name list + +Once the event set folder is created, you can reference it in the [database builder](../3_setup_guide/database.qmd) configuration file and it will be included in the FloodAdapt database so users can calculate risk and risk-reduction benefits of adaptation options. diff --git a/docs/4_user_guide/benefits.qmd b/docs/4_user_guide/benefits.qmd index 4e21f2a89..f27332f4c 100644 --- a/docs/4_user_guide/benefits.qmd +++ b/docs/4_user_guide/benefits.qmd @@ -19,6 +19,10 @@ The following sections will describe how to create a benefit analysis, how benef * [Viewing benefit output in the Benefits tab](#viewing-benefit-output-in-the-benefits-tab) * [Benefits output folder](#benefits-output-folder). +::: {.callout-note} +#### What is required to run a benefit analysis? +To run a benefit analysis, you must have a [probabilistic event set](events/probabilistic_events.qmd) prepared for your site. This event set enables the calculation of risk, which is needed when calculating the risk-reduction benefits of adaptation strategies. +::: ## Creating a new benefit analysis FloodAdapt users can evaluate the risk-reduction benefits of any strategy they have created (which can be composed of a single measure or a collection of measures). To do this, go to the Benefits tab in FloodAdapt, and in the bottom panel click on "Add benefit analysis". A popup window will appear within which you will specify important choices about your benefit analysis. diff --git a/docs/4_user_guide/compare/index.qmd b/docs/4_user_guide/compare/index.qmd index 48f437a0c..b8d069425 100644 --- a/docs/4_user_guide/compare/index.qmd +++ b/docs/4_user_guide/compare/index.qmd @@ -1,4 +1,51 @@ --- title: Compare tabs +filters: + - lightbox +lightbox: auto --- -Coming soon. +Being able to compare scenarios is important when addressing user questions. For example, consider the question "How would a historic storm look with sea evel rise?" This question is best answered by simulating the historic storm without and then with sea level rise and comparing the output to evaluate where and by how much flooding and impacts would increase. + +FloodAdapt supports users in comparing scenarios with two comparison tabs, one to compare [spatial output](#comparing-spatial-output) and one to compare [scenario metrics](#comparing-output-metrics). These are described in separate sections below. + +## Comparing spatial output +The "Compare - map" tab in FloodAdapt (see @fig-comparisonMap) allows users to compare the spatial output of two scenarios using a slider bar in the map window. The lower panel has two selection boxes, one to select the scenario that will show up on the left side of the slider bar, and one to select the scenario that will show up on the right side of the slider bar. + +To compare the spatial output of two scenarios: + +* Go to the "Compare - map" tab +* Select a scenario in the "Scenario left" selection box +* Select a scenario in the "Scenario right" selection box +* Select the map layers you wish to view +* In the map window, drag the slider bar left and right to compare the spatial output + +![**Comparing map outputs for two scenarios. This example shows a compound high-tide and rainfall event from 2023 without sea level rise (left scenario) and with sea level rise (right scenario)**](../../_static/images/comparison_map.png){width=100% fig-align=left #fig-comparisonMap} + +::: {.callout-note} +## Automatic scenario filtering +Once a selection is made in the "Scenario left" selection box, the "Scenario right" selection box will update to only include scenarios of the same type - either a risk scenario or event scenario. Because the output differs between these scenario types, only scenarios of the same type can be compared. +::: + +## Comparing output metrics +In addition to comparing the spatial output, it is informative to compare scenario output metrics, such as residential damages or the number of businesses impacted. This helps summarize the impacts and how they are changing under different scenarios. + +The "Compare - table" tab (see @fig-comparisonMetrics) allows users to select multiple scenarios and add them to a metrics comparison box. There is no limit on the number of scenarios that can be compared. + +To compare scenario output metrics: + +* Select a scenario in the scenario selection box +* Click the "Add" button +* Repeat the above steps until all of the scenarios you wish to compare are included in the metric comparison box + + +If you want to remove a scenario from the metric comparison box: + +* Select the column of the scenario in the metric comparison box +* Click the "Remove" button + +![**Comparing metrics outputs for multiple scenarios. This example shows the metrics for current risk, risk with 1 foot of sea level rise, and risk with 1 foot of sea level rise and a flood wall implemented.**](../../_static/images/Comparison_metrics.png){width=100% fig-align=left #fig-comparisonMetrics} + +::: {.callout-note} +## Automatic scenario filtering +Similar to the spatial comparison tab, once a scenario has been added to the metric comparison box, the scenario selection box will update to only include scenarios of the same type - either a risk scenario or an event scenario. Because the output differs between these scenario types, only scenarios of the same type can be compared. +::: diff --git a/docs/4_user_guide/events/historic_events/historic_events_hurricane.qmd b/docs/4_user_guide/events/historic_events/historic_events_hurricane.qmd index 6d853459c..ba32237cf 100644 --- a/docs/4_user_guide/events/historic_events/historic_events_hurricane.qmd +++ b/docs/4_user_guide/events/historic_events/historic_events_hurricane.qmd @@ -8,7 +8,7 @@ lightbox: auto ::: {.callout-tip} ## Watch a video about entering a historical hurricane Don't feel like reading? No problem! Check out our video about how to add a hurricane in FloodAdapt, and also how to shift the hurricane to see how different the flooding and impacts would have been had the hurricane made landfall somewhere else. -{{< video https://www.youtube.com/watch?v=ojzx3JHeGws >}} +{{< video https://www.youtube.com/watch?v=ojzx3JHeGws?rel=0 >}} ::: The historical hurricane event allows the user to select and shift a historical hurricane from a hurricane track database. When the user selects the “Historical hurricane” option from the **Events** tab, they will see a hurricane selection window appear (see @fig-hurricaneSelector), which is populated with historical hurricanes from the National Hurricane Center (NHC) HURDAT2 database. This database is updated by the NHC annually and will require an annual maintenance update to keep the hurricane database in FloodAdapt up to date. The user can see all hurricanes within a specified distance of the site, or between specified years. @@ -24,10 +24,10 @@ The historical hurricane event template window is shown in @fig-hurricaneTemplat ::: {.callout-tip} ## Editing the hurricane start and stop time -The autommatically filled-in start and stop time represent the entire duration of the hurricane track. This event duration can be shortened to speed up the calculation. How should you pick the duration? Hover your mouse over the track icons to see date and time stamps. Choose dates from 1-2 days before landfall to 1 day after landfall. +The automatically filled-in start and stop time represent the entire duration of the hurricane track. This event duration can be shortened to speed up the calculation. How should you pick the duration? Hover your mouse over the track icons to see date and time stamps. Choose dates from 1-2 days before landfall to 1 day after landfall. ::: -Under the "Surge and Tide" block, the user can **shift the hurricane track** by specifying the miles of horizontal or vertical shift. The shifted hurricane will be displayed beside the original track. +Under the "Surge and Tide" block, the user can **shift the hurricane track** by specifying the miles of horizontal or vertical shift. The shifted hurricane will be displayed beside the original track. Note that when shifting a historical hurricane track, the new track will be assigned the attributes of the original hurricane (like wind and pressure fields). The wind and rain are automatically derived from information about the hurricane track. The rainfall is derived from the track using the IPET method. The user does not need to specify any information here. diff --git a/docs/4_user_guide/events/historic_events/historic_events_ungauged.qmd b/docs/4_user_guide/events/historic_events/historic_events_ungauged.qmd index 853424533..a1a047c17 100644 --- a/docs/4_user_guide/events/historic_events/historic_events_ungauged.qmd +++ b/docs/4_user_guide/events/historic_events/historic_events_ungauged.qmd @@ -5,11 +5,6 @@ filters: lightbox: auto --- -::: {.callout-tip} -## Watch our video - historical event without gauged water levels -Don't feel like reading? No problem! Check out our video about how to add a historical (ungauged) event in FloodAdapt. -::: - When the user selects the “Historical event - without gauged water levels” option from the **Events** tab, they will see the event template window shown in @fig-ungaugedWindow. This window allows the user to input timeseries for: (1) [Rainfall](#rainfall) diff --git a/docs/4_user_guide/events/probabilistic_events.qmd b/docs/4_user_guide/events/probabilistic_events.qmd index d19a18e0f..2519260d0 100644 --- a/docs/4_user_guide/events/probabilistic_events.qmd +++ b/docs/4_user_guide/events/probabilistic_events.qmd @@ -5,7 +5,7 @@ filters: lightbox: auto --- -A probabilistic event set is the combination of a set of synthetic events and their occurrence probabilities. These can be both tropical storms (hurricanes), as well as non-tropical events. They should include all event types that can lead to flooding in the site area (now or in the future), and can be *compound* flood events, meaning a combination of different flood drivers, like water level, rainfall, river discharge, or wind. It can be complicated to set up this set of events, and is therefore recommended to be done by an expert during the set-up of FloodAdapt for the site location. +A probabilistic event set is the combination of a set of synthetic events and their occurrence probabilities. These can be both tropical storms (hurricanes), as well as non-tropical events. They should include all event types that can lead to flooding in the site area (now or in the future), and can be *compound* flood events, meaning a combination of different flood drivers, like water level, rainfall, river discharge, or wind. It can be complicated to set up this set of events, and is therefore recommended to be done by an expert during the set-up of FloodAdapt for the site location (see guidance on [setting up an event set](../../3_setup_guide/risk_analysis.qmd) in the Setup Guide) In the events tab in FloodAdapt, a probabilistic event set can be recognized by the Type specification at the bottom of the window (see @fig-probEventSet). These event sets cannot be modified or deleted via the user interface. @@ -13,5 +13,7 @@ In the events tab in FloodAdapt, a probabilistic event set can be recognized by ::: {.callout-note} ## How are probabilistic event sets used in FloodAdapt? -When a user selects a scenario with a probabilistic event set, FloodAdapt calculates the flooding for each of the events in the event set. Using the flood output for the events and information about the frequencies of the events (also provided as part of the event set), FloodAdapt calculates return period flood maps (such as the *100 year flood map*), return period damages, and expected annual damages (risk) for the scenario. For an example how to use a probabilistic event set in a scenario, let's say a user wants to explore the risk to their community with 1 foot of sea level rise and with a floodwall in place. Their scenario components would be: projection = 1 ft. sea level rise, strategy = floodwall, event = probabilistic event set. The calculation of risk allows a user to explore the risk-reduction [benefits](../benefits.qmd) of adaptation options, as well as obtaining more comprehensive insight into how risk is distributed. The page on [scenarios](../scenarios/index.qmd) gives more examples how users can define scenarios to answer different questions. +When a user selects a scenario with a probabilistic event set, FloodAdapt calculates the flooding for each of the events in the event set. Using the flood output for the events and information about the frequencies of the events (also provided as part of the event set), FloodAdapt calculates return period flood maps (such as the *100 year flood map*), return period damages, and expected annual damages (risk) for the scenario. Details of how FloodAdapt makes these calculations is presented in the [Technical Documentation](../../5_technical_docs/RiskScenario.qmd). + +For an example how to use a probabilistic event set in a scenario, let's say a user wants to explore the risk to their community with 1 foot of sea level rise and with a floodwall in place. Their scenario components would be: projection = 1 ft. sea level rise, strategy = floodwall, event = probabilistic event set. The calculation of risk allows a user to explore the risk-reduction [benefits](../benefits.qmd) of adaptation options, as well as obtaining more comprehensive insight into how risk is distributed. The page on [scenarios](../scenarios/index.qmd) gives more examples how users can define scenarios to answer different questions. ::: diff --git a/docs/4_user_guide/events/synthetic_events.qmd b/docs/4_user_guide/events/synthetic_events.qmd index 0b77e73a5..3fc084470 100644 --- a/docs/4_user_guide/events/synthetic_events.qmd +++ b/docs/4_user_guide/events/synthetic_events.qmd @@ -5,13 +5,6 @@ filters: lightbox: auto --- -::: {.callout-tip} -## Watch our video - add a synthetic event -Don't feel like reading? No problem! Check out our video about how to add a synthetic event in FloodAdapt. -**TO BE ADDED** -::: - - When the user selects the “Synthetic” option from the **Events** tab, they will see the event template window shown in @fig-syntheticWindow. This window allows the user to input synthetic time series for: (1) [Water level - Tide + Surge](#water-levels---tide-surge) @@ -70,6 +63,6 @@ For a synthetic event, the user can only enter either **none** (default), or a * ## River discharge The river discharge represents the discharge in a river at the model boundary. If there are multiple rivers at the model boundary, the user will be able to select each river to specify the discharge. The user has two options for specifying the river discharge: a **constant** discharge or a **shape**, which is a synthetic timeseries. -A constant discharge is the default option. An average discharge value is filled in, which is specified in a FloodAdapt configuration folder at system setup. The user can change the value of the constant discharge. +**Constant** - A constant discharge is the default option. An average discharge value is filled in, which is specified in a FloodAdapt configuration folder at system setup. The user can change the value of the constant discharge. -The shape option uses a Gaussian curve. The user must specify the base discharge (this can be left at the default value, which is the average discharge), a peak discharge, a duration, and a peak time. The duration refers to the duration that the river discharge is above its base value. +**Shape** - The shape option uses a Gaussian curve. The user must specify the base discharge (this can be left at the default value, which is the average discharge), a peak discharge, a duration, and a peak time. The duration refers to the duration that the river discharge is above its base value. diff --git a/docs/4_user_guide/getting_started.qmd b/docs/4_user_guide/getting_started.qmd index 52f769477..77f27570b 100644 --- a/docs/4_user_guide/getting_started.qmd +++ b/docs/4_user_guide/getting_started.qmd @@ -4,36 +4,47 @@ filters: - lightbox lightbox: auto --- -This section covers [system requirements](#system-requirements) for running FloodAdapt, initial [installation steps](#installation-steps), and the [folder structure of FloodAdapt](#floodadapt-folder-structure). +This section covers [system requirements](#system-requirements) for running FloodAdapt, initial [installation steps](#installation-steps), [opening FloodAdapt](#opening-floodadapt), and the [FloodAdapt database folder structure](#floodadapt-database). ## System requirements In order to run FloodAdapt, the following are required: * Your computer must be running a Windows operating system. - * The first time the FloodAdapt application is opened must be by a user with administrative rights - * The computer must have access to the internet - * At least 2 GB of storage for the FloodAdapt system files and the underlying database - * Approximately 150 MB of storage for each user-generated scenario -::: {.callout-warning} -Be sure to save the FloodAdapt folder in a high-level directory. For example: D:\\\ FloodAdapt. This is because Windows has a 260-character path-name limit, and FloodAdapt includes user-selected scenario names in both folder and file names, which can lead to exceedance of the limit. Placing the FloodAdapt folder in a high-level directory will reduce the likelihood of this happening. +::: {.callout-note} +#### Which windows systems have been tested? +FloodAdapt has been tested on Windows 10 and 11. It is expected to work on older systems, but has not been tested. ::: ## Installation steps -The FloodAdapt application does not require an installation, it can be used by directly double-clicking the FloodAdapt executable icon. +To download and install FloodAdapt on your computer: + +* Download the FloodAdapt installer from the [Deltares USA website](https://www.deltares-usa.us/floodadapt-application). +* Double-click the "FloodAdaptInstaller" file and the setup wizard will open (see @fig-setupWizard). Follow the steps of the installation wizard. -The first time the FloodAdapt executable is opened, it will ask for permission for the app to make changes to the computer. The user must select yes, so that the FloodAdapt graphical user interface (GUI) can communicate with the map layers which are stored online. This can only be done by someone who has administrator rights over the computer. After this, FloodAdapt can be opened without administrator rights and will still function properly. +![**FloodAdapt installation setup wizard**](../_static/images/installation_setupWizard.png){width=70% fig-align=left #fig-setupWizard} -## FloodAdapt folder structure -The FloodAdapt database uses a normal folder structure so that it is easily accessible by users, without requiring database knowledge. This section describes the folder structure and indicates where your user-generated scenario data are stored. +## Opening FloodAdapt + +When you open the FloodAdapt application you will be prompted to select a database root folder. This is the location where you store one or more FloodAdapt databases. Once you select a root folder, the databases within the root folder will appear. Select the database you want to work with and click "Start" to open the FloodAdapt application. Each time you open FloodAdapt you have the opportunity to change the database root and/or select a different database. + +![**Database selector when opening FloodAdapt**](../_static/images/installation_databaseSelector.png){width=50% fig-align=left #fig-installation_databaseSelector} + +::: {.callout-note} +#### Why do I have to select a database? +The FloodAdapt application is a calculation "shell" that requires a FloodAdapt database to work. Details on setting up a FloodAdapt database in a new location are provided in the [Setup Guide](../3_setup_guide/index.qmd). +::: -@fig-folderStructure shows the overall folder structure. The main FloodAdapt folder contains three sub-folders: *System*, *FloodAdapt_gui* and *Database*. The System folder contains the underlying modeling software to calculate flooding and impacts. The FloodAdapt_gui folder contains files related to the graphical user interface. It also contains the executable file *floodadapt_gui.exe* that opens the FloodAdapt application. The System and Floodadapt_gui folders are the same for every site location. The Database folder contains three sub-folders: *Input*, *Output*, and *Static*. The Static folder contains information that is prepared as system set-up to tailor FloodAdapt for a particular site location. The Input and Output folders are populated by the FloodAdapt user via the user interface. These contain information about the events, projections, measures, strategies, and scenarios that a user has created. + -The Output folder contains all of the flooding and impact data generated for the scenarios that a user runs via the user interface. The user may want to access this folder to create their own visualization in third party software, such as ArcGIS. +## FloodAdapt database +The FloodAdapt database uses a normal folder structure so that it is easily accessible by users, without requiring database knowledge. +@fig-installation_database_structure shows the overall folder structure. The "Database Root Folder" is folder where you can store one ore more FloodAdapt site databases. Within each site database, there are three folders: Input, Output, and Static. The input and output folders are populated when you use the FloodAdapt application. The input folder contains information about scenario components: events, projections, measures, strategies and scenarios. The output folder contains the flooding and impact output from simulated scenarios, and is described in more detail in the [Output](output/index.qmd) section. The Static folder contains information that is prepared when setting up FloodAdapt for a particular site location (see the [Setup Guide](../3_setup_guide/index.qmd)). -![**Folder structure of FloodAdapt.**](../_static/images/folderStructure.png){#fig-folderStructure} +![**FloodAdapt database folder structure**](../_static/images/installation_database_structure.png){#fig-installation_database_structure} diff --git a/docs/4_user_guide/projections/climate.qmd b/docs/4_user_guide/projections/climate.qmd index 1705af43c..22011a320 100644 --- a/docs/4_user_guide/projections/climate.qmd +++ b/docs/4_user_guide/projections/climate.qmd @@ -48,7 +48,7 @@ An increase in storm frequency is given as a percentage in the projections windo ::: callout-tip ## Example - increased storm frequency -For example, if you select a storm frequency increase of 10%, and a tropical storm in the event set had an occurrence frequency of once in 50 years (0.02), the increased frequency of this storm would be 0.22, or once in about 45 years. +For example, if you select a storm frequency increase of 10%, and a tropical storm in the event set had an occurrence frequency of once in 50 years (0.02), the increased frequency of this storm would be 0.022, or once in about 45 years. ::: ### Why is this only for probabilistic event sets? diff --git a/docs/4_user_guide/scenarios/index.qmd b/docs/4_user_guide/scenarios/index.qmd index 500a0395b..4073aee9a 100644 --- a/docs/4_user_guide/scenarios/index.qmd +++ b/docs/4_user_guide/scenarios/index.qmd @@ -11,11 +11,11 @@ A scenario in FloodAdapt is a what-if situation and consists of a hydro-meteorol For an event scenario FloodAdapt calculates the flooding and impacts for one single weather event, such as a hurricane or a king tide with rainfall. The scenario can include future projections and measures, but always represents just one single event. For a risk scenario, in contrast, FloodAdapt calculates flooding for a set of events with different probabilities. From this output, FloodAdapt derives return period flood maps (such as the 10-year, 25-year, or 100-year flood maps) and return period damage maps. It then combines this information to further derive *expected annual damages*, which is the metric associated with economic risk. ::: -::: {.callout-tip} + In the “Scenarios” tab (see @fig-scenarios) you will see a tabulated overview of any scenarios that have already been created. You can sort existing scenarios by name, date created, scenario component (event, project, or strategy), or run status (column "finished") which indicates whether the scenario has been run (True) or not (False). Next to the table there are buttons to add, edit, or delete scenarios. Note that scenarios can only be edited or deleted if they have not yet been run. ![**Scenarios tab in FloodAdapt**](../../_static/images/scenarios_mainWindow.png){width=70% fig-align=left #fig-scenarios} diff --git a/docs/5_technical_docs/EquityCalc.qmd b/docs/5_technical_docs/EquityCalc.qmd index c13bfe48c..ab6d14ba5 100644 --- a/docs/5_technical_docs/EquityCalc.qmd +++ b/docs/5_technical_docs/EquityCalc.qmd @@ -5,6 +5,28 @@ filters: lightbox: auto --- -A description of the equity module in FloodAdapt is coming soon. In the meantime, @fig-equityCalc shows an overview of the calculation. +Equity methods seek to compensate for the unfair distribution in income when calculating flood damages. They rely on the concept of marginal utility of income, which holds that a loss of $1 for a rich person is not equivalent to the loss of $1 for a poor person. Utility is defined in economics as the satisfaction, usefulness, or happiness derived from - in this case - income. **Equity weights** are a way to correct for the inequality in marginal utility across income classes. Essentially, the equity weight represents the relative size of the marginal utility (a loss in utility due to a change in income - brought on in this case by flood damages) compared to the marginal utility for the community's average income level. This leads to equity weights greater than 1 for incomes below average, and less than 1 for higher-than-average incomes. The equity weights are then used as a multiplicative factor on flood damages. -![**FloodAdapt calculation framework for equity-weighted risk estimates**](../_static/images/Equity_method.jpg){width=100% fig-align=left #fig-equityCalc} + +![**Illustration of utility, and the marginal utility for high-income versus low-income community members.**](../_static/images/equity_utility.png){width=50% fig-align=left #fig-equityCalc} + +FloodAdapt includes a module which automatically calculates equity weights and applies them to risk estimates, using methods described in literature ([1](https://wires.onlinelibrary.wiley.com/doi/10.1002/wcc.446)). The calculation framework of the module is depicted in @fig-equityCalc. + +Inputs to the method are: + +* Mean per capita income ($M$) and population $(P)$ at aggregated scale, for example census block groups. This information can be obtained automatically when setting up the [Delft-FIAT model](../3_setup_guide/Delft_Fiat/hydromt_fiat_gui.qmd) + +* Return period damages per building $D$ (output from the impact module in a [risk calculation](RiskScenario.qmd)). + +The module then does the following: + +* Calculates the weighted average income per capita, weighted by population $I_{WA} = \frac{\sum (M_i \cdot P_i)}{P}$, where $i$ represents the areas, for example census block groups. + +* Derives the equity weight for each aggregated area: $EW_i = \left(\frac{M_i}{I_{WA}}\right)^\gamma$. Note that $\gamma$ is set to 1.2. This parameter is expected to be made configurable by FloodAdapt users in future releases. + +* Calculates for each return period $j$ the equity-weighted damages per aggregation area $EWD_{i,j} = EW_i \cdot D_{i,j}$ + +* Integrates the equity-weighted damages over the return periods using log-linear interpolation to derive the equity-weighted expected annual damages for each aggreagation area. + + +![**FloodAdapt calculation framework for equity-weighted risk estimates**](../_static/images/EquityMethod_inFA.jpg){width=100% fig-align=left #fig-equityCalc} diff --git a/docs/5_technical_docs/RiskScenario.qmd b/docs/5_technical_docs/RiskScenario.qmd index 121b9ac45..9c1a1dfe5 100644 --- a/docs/5_technical_docs/RiskScenario.qmd +++ b/docs/5_technical_docs/RiskScenario.qmd @@ -4,19 +4,19 @@ filters: - lightbox lightbox: auto --- -A risk scenario is similar to an event scenario, but instead of running for one single event FloodAdapt runs the flood model for every event in a *probabilistic event set*. This is a set (put together when a FloodAdapt system is set up) consisting of specifications for different (compound) events that can lead to flooding in the area and their occurrence frequencies. A paper describing how this event set was prepared for Charleston, South Carolina can be found [here](https://asbpa.org/publications/shore-and-beach/shore-beach-in-2023-vol-91/probabilistic-compound-flood-hazard-analysis-for-coastal-risk-assessment-a-case-study-in-charleston-south-carolina/). +A risk scenario is similar to an event scenario, but instead of running for one single event FloodAdapt runs the flood model for every event in a *probabilistic event set*. This is a set consisting of specifications for different (compound) events that can lead to flooding in the area and their occurrence frequencies. A paper describing how this event set was prepared for Charleston, South Carolina can be found [here](https://asbpa.org/publications/shore-and-beach/shore-beach-in-2023-vol-91/probabilistic-compound-flood-hazard-analysis-for-coastal-risk-assessment-a-case-study-in-charleston-south-carolina/). The [hazard calculation](#hazard-calculation) and [impact & risk calculation](#impact-and-risk-calculation) frameworks for a risk scenario are presented in the sections below. -## Hazard calculation +## Hazard calculation {#hazard-calc} @fig-workflow_risk_hazard zooms in on the hazard calculation portion of the FloodAdapt workflow for a risk scenario. Referring to the figure can support the description of the calculation. -For a risk scenario the hazard calculation involves both simulating the flooding for each event in the event set and the derivation of probabilistic *return period maps*. FloodAdapt modifies the SFINCS model based on adaptation options and calculates the flooding for each event in the event set in the same way it does for an [event scenario](EventScenario.qmd). This is indicated in @fig-workflow_risk_hazard by a horizontal line, above which the event scenario and risk scenario are the same, except that the flood model is called multiple times to calculate flooding for each event in the event set. This workflow is described in the [event scenario](EventScenario.qmd) documentation and not repeated here. Below the horizontal line in @fig-workflow_risk_hazard, the workflow for the risk scenario hazard is unique. Once the simulation for each event in the event set has been completed, the entire set of flood maps is passed into a *probabilistic calculator*. This is a routine that uses the event frequencies and simulated flood maps to create a water level-frequency curve for each grid cell in the flood model. It then derives from this curve the flood depth for the return periods specified for the site at system setup. From this outPut it creates gridded return period flood maps. +For a risk scenario the hazard calculation involves both simulating the flooding for each event in the event set and the derivation of probabilistic *return period maps*. FloodAdapt modifies the SFINCS model based on adaptation options and calculates the flooding for each event in the event set in the same way it does for an [event scenario](EventScenario.qmd). This is indicated in @fig-workflow_risk_hazard by a horizontal line, above which the event scenario and risk scenario are the same, except that the flood model is called multiple times to calculate flooding for each event in the event set. This workflow is described in the [event scenario](EventScenario.qmd) documentation and not repeated here. Below the horizontal line in @fig-workflow_risk_hazard, the workflow for the risk scenario hazard is unique. Once the simulation for each event in the event set has been completed, the entire set of flood maps is passed into a *[probabilistic calculator](#probCalculator)*. This is a routine that uses the event frequencies and simulated flood maps to create a water level-frequency curve for each grid cell in the flood model. It then derives from this curve the flood depth for the return periods specified for the site at system setup. From this output it creates gridded return period flood maps. A detailed description of the [probabilistic calculator](#probCalculator) is given later on this page. ![**FloodAdapt calculation framework for hazardfor a risk scenario**](../_static/images/Workflow_riskScenario_hazards.jpg){width=100% fig-align=left #fig-workflow_risk_hazard} -## Impact and risk calculation +## Impact and risk calculation {#impact-risk-calc} @fig-workflow_risk_impacts zooms in on the impact and risk calculation portion of the FloodAdapt workflow for a risk scenario. Referring to the figure can support the description of the calculation. @@ -24,8 +24,60 @@ For a risk scenario the hazard calculation involves both simulating the flooding The automatic updating of the Delft-FIAT model based on user-specified adaptation options and projections is identical to the handling in the [event scenario](EventScenario.qmd). This workflow description is not repeated here. -For a risk scenario, FloodAdapt imports into Delft-FIAT the set of return period flood maps (calculated in the hazard calculation framework described above) and their associated return periods. Delft-FIAT has an automatic risk module built in which calculates and outputs the direct economic damages to the assets in the exposure data for each input return period flood map. It uses this output to generate a damage-frequency curve (note that the exceedance frequency is the reciprocal of the return period). The expected annual damages (risk) are then calculated as the area under the damage-frequency curve (see @fig-riskcalc). The set of return periods will be finite, so Delft-FIAT makes approximations for return periods beyond what is calculated. For return periods higher than the highest calculated, it assumes economic damages equal to the highest calculated. For return periods lower than the lowest calculated, it assumes economic damages of zero. In FloodAdapt, users can choose the return periods for which damages will be calculated, to minimize these approxmiations. For example, users can take an upper limit for the return period of 500 or 1000 years and a lower limit of 1 year. +For a risk scenario, FloodAdapt imports into Delft-FIAT the set of return period flood maps (calculated in the [hazard framework](#hazard-calc) with the use of the [probabilistic calcultor](#probCalculator)). Delft-FIAT has an automatic risk module built in which calculates and outputs the direct economic damages to the assets in the exposure data for each input return period flood map. It uses this output to generate a damage-frequency curve (note that the exceedance frequency is the reciprocal of the return period). The expected annual damages (risk) are then calculated as the area under the damage-frequency curve (see @fig-riskcalc). The set of return periods will be finite, so Delft-FIAT makes approximations for return periods beyond what is calculated. For return periods higher than the highest calculated, it assumes economic damages equal to the highest calculated. For return periods lower than the lowest calculated, it assumes economic damages of zero. In FloodAdapt, users can choose the return periods for which damages will be calculated, to minimize these approxmiations. For example, users can take an upper limit for the return period of 500 or 1000 years and a lower limit of 1 year. ![**Schematic of the risk calculation performed in Delft-FIAT. The damage-frequency curve is created using the damages calculated for the return period flood maps, and the risk is calculated as the area under the damage-frequency curve.**](../_static/images/risk_calc.png){width=50% fig-align=left #fig-riskcalc} After the return period damages and risk have been calculated by Delft-FIAT, FloodAdapt sends the output through a suite of postprocessing scripts to derive aggregated damages, spatial maps, risk metrics, and risk-related infographics. Additionally, FloodAdapt calls an [Equity](EquityCalc.qmd) routine that calculates equity weights and applies them to risk estimates at an aggregated level for optional viewing in the user interface. + +## The probabilistic calculator {#probCalculator} +In @fig-workflow_risk_hazard, the simulated flood maps for the events in the event set, and the event occurrence frequencies, are passed into a module called "The probabilistic calculator". This section describes the method in that calculator to determine return period flood maps. The following steps are carried out for each grid cell in the SFINCS overland model. Each step is described below with supporting images. + +* [**Step 1**: Arrange water levels and frequencies in tables](#step1) +* [**Step 2**: Sort the water levels in descending order](#step2) +* [**Step 3**: Calculate the frequency of exceedance of the water levels](#step3) +* [**Step 4**: Calculate the return periods of the water levels](#step4) +* [**Step 5**: Calculate the water level associated with the return periods of interest](#step5) +* [**Step 6**: Convert water levels to water depths](#step6) + + +###### **Step 1: Arrange water levels and frequencies in tables** {#step1} + +The water levels for each grid cell (h) and their associated frequencies of occurrence (f) are arranged in two separate matrices with the number of rows equal to the number of events (j) and the number of columns equal to the number of grid cells (n). The example shown in @fig-waterLevelTable illustrates the results for two fictitious grid cells and 10 fictitious events. To allow the reader to follow the approach more easily, the two highest and lowest values and their associated frequencies are highlighted in orange and blue throughout all steps. + +![**Left: Water levels per computational grid cell (columns) and event (rows). Right: Associated frequencies of occurrence. The two highest and lowest values and their associated frequencies are highlighted in orange and blue.**](../_static/images/probCalculator_waterLevelTable.png){width=80% fig-align=left #fig-waterLevelTable} + +###### **Step 2: Sort the water levels in descending order** {#step2} + +The water levels are sorted column-wise in descending order (see @fig-sortedWLs). The matrix with the frequencies of occurrence are sorted in the same manner so that the frequency of occurrence has the same location in the right matrix as its corresponding water level value in the left matrix. The highest water level does not necessarily correspond to the lowest frequency of occurrence as in the example below. + +![**Left: Sorted water levels per computational grid cell (columns) and event (rows). Right: Associated frequencies of occurrence. The two highest and lowest values and their associated frequencies are highlighted in orange and blue, respectively.**](../_static/images/probCalculator_sortedWLs.png){width=80% fig-align=left #fig-sortedWLs} + +###### **Step 3: Calculate the frequency of exceedance of the water levels** {#step3} + +To calculate the frequencies of exceedance, the CFRSS cumulatively sums the frequencies of occurrence column-wise from the highest to lowest water level (see @fig-WLexcFreq). In the example, the frequency of exceedance for grid cell n=2 in the second row is 2.11E-03. This is the sum of the frequencies of occurrence of the first two rows from Table 6.4 (1.11E-03 + 1.00E-03). + +![**Left: Sorted water levels per computational grid cell (columns) and event (rows). Right: Associated frequencies of exceedance. The two highest and lowest values and their associated frequencies are highlighted in orange and blue, respectively.**](../_static/images/probCalculator_WLexcFreq.png){width=80% fig-align=left #fig-WLexcFreq} + + +###### **Step 4: Calculate the return periods of the water levels** {#step4} + +The return periods of water levels in each grid cell are then calculated as the inverse of the frequencies of exceedance (RP = 1/fexc); see @fig-probCalculatorRPs. + +![**Left: Sorted water levels per computational grid cell (columns) and event (rows). Right: Associated return periods of exceedance. The two highest and lowest values and their associated frequencies are highlighted in orange and blue, respectively.**](../_static/images/probCalculatorRPs.png){width=80% fig-align=left #fig-probCalculatorRPs} + +###### **Step 5: Calculate the water level associated with the return periods of interest** {#step5} + +To calculate the water levels for the return periods of interest specified in the site configuration file, FloodAdapt uses the “lookup-table” from Step 4 (@fig-probCalculatorRPs) to derive the water level associated with each return period. The water levels in the lookup table are log-linearly interpolated between the return periods (see @fig-probCalculator_WL_RP for an illustration). + + +![**Water level versus return period in computational grid cell n=2. Water level at the desired output return period are interpolated log-linearly between data points.**](../_static/images/probCalculator_WL_RP.png){width=60% fig-align=left #fig-probCalculator_WL_RP} + +For extrapolation outside of the bounds of the minimum and maximum return period in the lookup table, the following rules are applied: + +* If the return period of interest is larger than the maximum return period calculated for a given grid cell, the water level of the maximum return period is assigned to the return period of interest. +* If the return period of interest is smaller than the minimum return period calculated for a given grid cell, the water level is set to zero in that grid cell for the return period of interest. + +###### **Step 6: Convert water levels to water depths** {#step6} + +The resulting return-period water levels for each grid cell are mapped onto the raster of the (typically finer-scale) DEM using the indices file that maps each SFINCS grid cell to its corresponding DEM raster cells. The land elevation is then subtracted from the water levels to obtain flood depths. These flood depth maps are then passed to the Delft-FIAT model to [calculate impacts and risk](#impact-risk-calc). diff --git a/docs/_make_pdf.qmd b/docs/_make_pdf.qmd new file mode 100644 index 000000000..e332fb97a --- /dev/null +++ b/docs/_make_pdf.qmd @@ -0,0 +1,99 @@ +--- +title: Test to print the pdf +subtitle: Floodadapt Guide +author: "Kathryn Roscoe, Sarah Rautenbach, Lauren Schambach" +nocite: | + @* +format: + pdf: + toc: true + toc-depth: 2 + number-sections: true + number-depth: 2 + output-file: "Test_print_docs" + output-ext: "pdf" +editor: source +--- + + +```{r} +#| echo: false +#| eval: true +# Function to change paths +# Function to change paths +update_image_paths <- function(content) { + # Replace ../../_static/images/ with ../_static/images/ + updated_content <- gsub("\\.\\./\\..*/_static/images/", "../_static/images/", content) + updated_content <- gsub("##", "### ", updated_content) + updated_content <- gsub("###", "#### ", updated_content) + + return(updated_content) +} + +# Process QMD function +process_qmd <- function(file, fpath_in = "_static", fpath_out = "_static") { + doc <- readLines(file) + end_yaml <- which(doc == "---")[2] + yaml_header <- doc[1:end_yaml] + title_line <- yaml_header[grep("title:", yaml_header)] + title <- sub("title: *", "", title_line) + out_doc <- doc[seq(end_yaml + 1, length(doc))] + + if (fpath_in != fpath_out) { + out_doc <- stringr::str_replace_all(out_doc, fpath_in, fpath_out) + } + + res <- knitr::knit_child(text = out_doc, quiet = TRUE, options = list(eval = FALSE, echo = TRUE)) + + # Update image paths in the content + res <- update_image_paths(res) + + return(list(title = title, content = res)) +} + +``` + +```{r} +#| output: asis +#| echo: false +#| eval: true +#| message: false +idx <- process_qmd("1_introduction/index.qmd") +howto <- process_qmd("4_user_guide/index.qmd") +start <- process_qmd("4_user_guide/getting_started.qmd") +site <- process_qmd("4_user_guide/site_tab.qmd") +events <- process_qmd("4_user_guide/events/index.qmd") +historic_events <- process_qmd("4_user_guide/events/historic_events/index.qmd") +historic_events_h <- process_qmd("4_user_guide/events/historic_events/historic_events_hurricane.qmd") +historic_events_g <- process_qmd("4_user_guide/events/historic_events/historic_events_gauged.qmd") +historic_events_u <- process_qmd("4_user_guide/events/historic_events/historic_events_ungauged.qmd") +synthetic_events <- process_qmd("4_user_guide/events/synthetic_events.qmd") +probabilistic_events <- process_qmd("4_user_guide/events/probabilistic_events.qmd") +projections <- process_qmd("4_user_guide/projections/index.qmd") + +cat("\n# ", idx$title, "\n\n") +cat(unlist(idx$content), sep = '\n\n') +cat("\n# ", howto$title, "\n\n") +cat(unlist(howto$content), sep = '\n\n') +cat("\n## ", start$title, "\n\n") +cat(unlist(start$content), sep = '\n\n') +cat("\n## ", site$title, "\n\n") +cat(unlist(site$content), sep = '\n\n') +cat("\n## ", events$title, "\n\n") +cat(unlist(events$content), sep = '\n\n') +cat("\n### ", historic_events$title, "\n\n") +cat(unlist(historic_events$content), sep = '\n\n') +cat("\n#### ", historic_events_h$title, "\n\n") +cat(unlist(historic_events_h$content), sep = '\n\n') +cat("\n#### ", historic_events_g$title, "\n\n") +cat(unlist(historic_events_g$content), sep = '\n\n') +cat("\n#### ", historic_events_u$title, "\n\n") +cat(unlist(historic_events_u$content), sep = '\n\n') +cat("\n### ", synthetic_events$title, "\n\n") +cat(unlist(synthetic_events$content), sep = '\n\n') +cat("\n### ", probabilistic_events$title, "\n\n") +cat(unlist(probabilistic_events$content), sep = '\n\n') +cat("\n## ", projections$title, "\n\n") +cat(unlist(projections$content), sep = '\n\n') +``` diff --git a/docs/_quarto.yml b/docs/_quarto.yml index c898b94ce..c721742d6 100644 --- a/docs/_quarto.yml +++ b/docs/_quarto.yml @@ -74,7 +74,7 @@ website: - section: "Events" file: "4_user_guide/events/index.qmd" contents: - - section: "Historic Events" + - section: "Historical Events" file: "4_user_guide/events/historic_events/index.qmd" contents: - "4_user_guide/events/historic_events/historic_events_hurricane.qmd" @@ -96,11 +96,7 @@ website: - "4_user_guide/strategy/index.qmd" - "4_user_guide/scenarios/index.qmd" - "4_user_guide/output/index.qmd" - - section: "Compare tabs" - file: "4_user_guide/compare/index.qmd" - contents: - - "4_user_guide/compare/Compare_map.qmd" - - "4_user_guide/compare/Compare_table.qmd" + - "4_user_guide/compare/index.qmd" - "4_user_guide/benefits.qmd" - section: "Setup Guide" file: 3_setup_guide/index.qmd diff --git a/docs/_static/images/Comparison_metrics.png b/docs/_static/images/Comparison_metrics.png new file mode 100644 index 0000000000000000000000000000000000000000..ce4d09359ac7524620280af49a807b1ce651a419 GIT binary patch literal 302095 zcmYhibwE@9A3coZL}DN@DH$RXLxxTmAu%PTOX-+&2oh3)z~}*rfH;v9kkQ>OLqSSF zx?{lTZl3x4p5OER@CO@X_ip#z*ZaKA>zs2VwKSAysoAJWNJwZ^l%ML5kWdhxl2!po 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b/docs/index.qmd index e23ee43ca..d7c2f6750 100644 --- a/docs/index.qmd +++ b/docs/index.qmd @@ -11,10 +11,17 @@ In this introduction, you will find an [overview of FloodAdapt](#overview), info ## Overview FloodAdapt is a flood adaptation decision-support tool, which aims to advance and accelerate flooding-related adaptation planning. It integrates rapid, physics-based compound flood modeling and detailed impact modeling into a user-friendly system, ensuring accessibility for end-users, regardless of their technical backgrounds. This enables users to define and evaluate meaningful "what-if" scenarios, which can be combinations of weather events, climate or socio-economic future conditions, and adaptation strategies. FloodAdapt rapidly generates high-quality flood and impact maps, equity-focused aggregations, and informative metrics, providing valuable support for planning and facilitating genuine stakeholder engagement. Beyond its usefulness for end-users, FloodAdapt acts as a vital bridge between scientific advancements and practical needs, enhancing the adoption and impact of adaptation research and development. -{{< video https://www.youtube.com/watch?v=VYd-G7yE0o4 + + + FloodAdapt was developed as a rapid planning tool with a straightforward graphical user interface for scenario generation, simulation, and visualization of spatial flooding and flooding impacts. Decision-making needs at the community level were central to the design of FloodAdapt. Users can answer planning questions like: “How will potential adaptation options reduce flood impacts?”, “How will those options perform for different types of events, like hurricanes, king tides, or heavy rainfall?”, “Which neighborhoods will benefit most?”, “How will those options hold up in the future?” @@ -24,31 +31,20 @@ The backend of FloodAdapt leverages the open-source, state-of-the-art process-ba When a user specifies a what-if scenario, the backend of FloodAdapt automatically makes changes to the SFINCS and Delft-FIAT models to represent the user choices, the way an expert modeller would. It then simulates the scenario and returns flood and impact maps, scenario comparison visualizations, summary metrics, and an infographic to highlighting flooding or impacts of particular concern to a community. In this way, FloodAdapt allows end-users to unleash the power of advanced models without requiring the technical background, or the laborious pre- and post-processing of models that is usually required for this type of analysis. -![Schematic showing the design concepts behind the FloodAdapt software](../_static/images/floodadapt.png){#fig-logo} +![Schematic showing the design concepts behind the FloodAdapt software](_static/images/floodadapt.png){#fig-logo} ## Intended Uses of FloodAdapt -FloodAdapt was developed to support adaptation and resilience planning, to provide community understanding of the flooding and impacts resulting from different scenarios of interest, to understand the urgency of actions in different areas, to prioritize investments, and to assess the effectiveness and longevity of different adaptation options. +FloodAdapt was developed to support adaptation and resilience planning, to provide community understanding of the flooding and impacts resulting from different scenarios of interest, to understand the urgency of actions in different areas, to aid in prioritizing investments, and to assess the effectiveness and longevity of different adaptation options. FloodAdapt is a powerful and physics-based system that can provide realistic flood and impact responses for user-defined scenarios. This is important because accuracy builds community trust in the tool. The underlying models and data in FloodAdapt can be continuously improved by the local or regional agencies who are operating it. The accuracy of the model results will depend on the accuracy of the input data. FloodAdapt can also help illuminate which data are missing or need improvement and should be collected when resources allow. FloodAdapt is not intended for use in the detailed engineering design of adaptation measures, particularly hydraulic ones. Once FloodAdapt has helped the community identify strategies and priority areas for improvements, the specific design requirements for these strategies should be done using more comprehensive modeling tools available. These may need to include detailed drainage infrastructure systems, groundwater, or other components not currently built into FloodAdapt. ## Reader Guidance -FloodAdapt is intended for end-users who have some technical background, but do not need to be subject-matter experts in flood and impact modeling. Set-up of FloodAdapt and developing a set of events and probabilities for risk assessment require additional capabilities. @fig-readerGuidance provides a reading guide for this documentation. It shows the intended reader and the relative technical skills required for the different sections in this documentation. - -The [User Guide](/4_user_guide/index.qmd) is for users of FloodAdapt. It provides information on how to get started with FloodAdapt, and describes all the FloodAdapt functionalities. - -The [Setup Guide](/3_setup_guide/index.qmd) is intended for those who will "build" or configure FloodAdapt for a new site and set of end-users. - -::: {.callout-tip} -## Setup Guide - special topic: Probabilistic event sets for risk analysis -The Setup guide includes guidance on [preparing a probabilistic event set](/3_setup_guide/risk_analysis.qmd) for risk analysis - this part of the setup requires a background in statistics and probability. -::: - - The section on [Updating FloodAdapt](/5_update_model/index.qmd) describes the steps involved in updating the database of FloodAdapt. This would be done whenever new or improved data becomes available. - -The [Demonstration of FloodAdapt](/6_demo/index.qmd) illustrates use cases that can help the reader understand how FloodAdapt can support adaptation and resilience planning. +FloodAdapt is intended for end-users who have some technical background, but do not need to be subject-matter experts in flood and impact modeling. Setting up FloodAdapt in a new location requires additional capabilities. +* **[User Guide](/4_user_guide/index.qmd)** The user guide provides information on how to get started with FloodAdapt, and describes how to use all the FloodAdapt functionalities. +* **[Setup Guide](/3_setup_guide/index.qmd)** - The setup guides users in setting up FloodAdapt in their area of interest. -![Guidance to this documentation, showing the different sections, the intended reader, and an indicator of the relative technical skill required to make use of the section](../_static/images/readerGuidance.png){#fig-readerGuidance} +* **[Technical docs](5_technical_docs/index.qmd)** - The technical docs provide detailed information on the calculation methods within FloodAdapt. diff --git a/environment/_environment.yml b/environment/_environment.yml new file mode 100644 index 000000000..ca73b673c --- /dev/null +++ b/environment/_environment.yml @@ -0,0 +1,18 @@ +name: flood_adapt +channels: +- conda-forge +dependencies: +- python=3.10 +- pip +- pip: + - .\geospatial-wheels\basemap-1.4.1-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\Cartopy-0.22.0-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\cftime-1.6.3-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\fiona-1.9.5-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\GDAL-3.8.4-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\netCDF4-1.6.5-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\pygeos-0.14.0-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\pyproj-3.6.1-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\rasterio-1.3.9-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\Rtree-1.2.0-cp310-cp310-win_amd64.whl + - .\geospatial-wheels\shapely-2.0.3-cp310-cp310-win_amd64.whl diff --git a/flood_adapt/__init__.py b/flood_adapt/__init__.py index 019f6e46f..77c8cf8b9 100644 --- a/flood_adapt/__init__.py +++ b/flood_adapt/__init__.py @@ -4,5 +4,5 @@ FloodAdaptLogging() # Initialize logging once for the entire package -__version__ = "0.1.1" +__version__ = "0.1.2" SRC_DIR: Path = Path(__file__).parent diff --git a/flood_adapt/integrator/__init__.py b/flood_adapt/adapter/__init__.py similarity index 100% rename from flood_adapt/integrator/__init__.py rename to flood_adapt/adapter/__init__.py diff --git a/flood_adapt/integrator/fiat_adapter.py b/flood_adapt/adapter/fiat_adapter.py similarity index 100% rename from flood_adapt/integrator/fiat_adapter.py rename to flood_adapt/adapter/fiat_adapter.py diff --git a/flood_adapt/integrator/sfincs_adapter.py b/flood_adapt/adapter/sfincs_adapter.py similarity index 100% rename from flood_adapt/integrator/sfincs_adapter.py rename to flood_adapt/adapter/sfincs_adapter.py diff --git a/flood_adapt/database_builder/create_database.py b/flood_adapt/database_builder/create_database.py index ce21e9dae..30716eb69 100644 --- a/flood_adapt/database_builder/create_database.py +++ b/flood_adapt/database_builder/create_database.py @@ -24,6 +24,7 @@ from flood_adapt.api.projections import create_projection, save_projection from flood_adapt.api.static import read_database from flood_adapt.api.strategies import create_strategy, save_strategy +from flood_adapt.config import Settings from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.interface.site import Obs_pointModel, Site, SlrModel from flood_adapt.object_model.io.unitfulvalue import UnitfulDischarge, UnitfulLength @@ -388,7 +389,11 @@ def create_standard_objects(self): physical and socio-economic conditions, and saves them to the database. """ # Load database - read_database(self.root.parent, self.config.name) + Settings( + database_root=self.root.parent, + database_name=self.config.name, + ) + read_database(Settings().database_root, Settings().database_name) # Create no measures strategy strategy = create_strategy({"name": "no_measures", "measures": []}) save_strategy(strategy) @@ -500,11 +505,13 @@ def read_fiat(self): # Check if the file exists add_attrs = self.fiat_model.spatial_joins["additional_attributes"] if add_attrs: - if "BF_FID" in [attr.name for attr in add_attrs]: - ind = [attr.name for attr in add_attrs].index("BF_FID") + if "BF_FID" in [attr["name"] for attr in add_attrs]: + ind = [attr["name"] for attr in add_attrs].index("BF_FID") footprints = add_attrs[ind] - footprints_path = fiat_path.joinpath(footprints.file) + footprints_path = fiat_path.joinpath(footprints["file"]) check_file = footprints_path.exists() + else: + check_file = False else: check_file = False if check_file and not check_col: @@ -560,7 +567,7 @@ def read_fiat(self): "Building footprint data will be downloaded from Open Street Maps." ) region_path = Path(self.fiat_model.root).joinpath( - "exposure", "region.gpkg" + "geoms", "region.geojson" ) if not region_path.exists(): self.logger.error("No region file found in the FIAT model.") @@ -645,13 +652,13 @@ def read_fiat(self): # TODO make aggregation areas not mandatory if not self.fiat_model.spatial_joins["aggregation_areas"]: exposure_csv = pd.read_csv(self.exposure_csv_path) - region_path = Path(self.fiat_model.root).joinpath("exposure", "region.gpkg") + region_path = Path(self.fiat_model.root).joinpath("geoms", "region.geojson") if region_path.exists(): region = gpd.read_file(region_path) region = region.explode().reset_index() region["id"] = ["region_" + str(i) for i in np.arange(len(region)) + 1] aggregation_path = Path(self.fiat_model.root).joinpath( - "exposure", "aggregation_areas", "region.gpkg" + "exposure", "aggregation_areas", "region.geojson" ) if not aggregation_path.parent.exists(): aggregation_path.parent.mkdir() @@ -747,17 +754,17 @@ def read_fiat(self): if "SVI" in self.fiat_model.exposure.exposure_db.columns: self.logger.info("'SVI' column present in the FIAT exposure csv.") add_attrs = self.fiat_model.spatial_joins["additional_attributes"] - if "SVI" in [attr.name for attr in add_attrs]: - ind = [attr.name for attr in add_attrs].index("SVI") + if "SVI" in [attr["name"] for attr in add_attrs]: + ind = [attr["name"] for attr in add_attrs].index("SVI") svi = add_attrs[ind] - svi_path = fiat_path.joinpath(svi.file) + svi_path = fiat_path.joinpath(svi["file"]) self.site_attrs["fiat"]["svi"] = {} self.site_attrs["fiat"]["svi"]["geom"] = str( Path(svi_path.relative_to(self.static_path)).as_posix() ) - self.site_attrs["fiat"]["svi"]["field_name"] = svi.field_name + self.site_attrs["fiat"]["svi"]["field_name"] = svi["field_name"] self.logger.info( - f"An SVI map can be shown in FloodAdapt GUI using '{svi.field_name}' column from {svi.file}" + f"An SVI map can be shown in FloodAdapt GUI using '{svi['field_name']}' column from {svi['field_name']}" ) else: self.logger.warning("No SVI map found!") @@ -999,27 +1006,28 @@ def update_fiat_elevation(self): ) exposure = pd.read_csv(exposure_csv_path) dem = rxr.open_rasterio(dem_file) - roads_path = Path(self.fiat_model.root) / "exposure" / "roads.gpkg" - roads = gpd.read_file(roads_path).to_crs(dem.spatial_ref.crs_wkt) - roads["geometry"] = roads.geometry.centroid # get centroids - - x_points = xr.DataArray(roads["geometry"].x, dims="points") - y_points = xr.DataArray(roads["geometry"].y, dims="points") - roads["elev"] = ( - dem.sel(x=x_points, y=y_points, band=1, method="nearest").to_numpy() - * conversion_factor - ) + if "roads" in self.fiat_model.exposure.geom_names: + roads_path = Path(self.fiat_model.root) / "exposure" / "roads.gpkg" + roads = gpd.read_file(roads_path).to_crs(dem.spatial_ref.crs_wkt) + roads["geometry"] = roads.geometry.centroid # get centroids + + x_points = xr.DataArray(roads["geometry"].x, dims="points") + y_points = xr.DataArray(roads["geometry"].y, dims="points") + roads["elev"] = ( + dem.sel(x=x_points, y=y_points, band=1, method="nearest").to_numpy() + * conversion_factor + ) - exposure.loc[ - exposure["Primary Object Type"] == "road", "Ground Floor Height" - ] = 0 - exposure = exposure.merge( - roads[["Object ID", "elev"]], on="Object ID", how="left" - ) - exposure.loc[exposure["Primary Object Type"] == "road", "Ground Elevation"] = ( - exposure.loc[exposure["Primary Object Type"] == "road", "elev"] - ) - del exposure["elev"] + exposure.loc[ + exposure["Primary Object Type"] == "road", "Ground Floor Height" + ] = 0 + exposure = exposure.merge( + roads[["Object ID", "elev"]], on="Object ID", how="left" + ) + exposure.loc[ + exposure["Primary Object Type"] == "road", "Ground Elevation" + ] = exposure.loc[exposure["Primary Object Type"] == "road", "elev"] + del exposure["elev"] buildings_path = Path(self.fiat_model.root) / "exposure" / "buildings.gpkg" points = gpd.read_file(buildings_path).to_crs(dem.spatial_ref.crs_wkt) diff --git a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_charts.toml b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_charts.toml index ce22536dc..e2010127b 100644 --- a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_charts.toml @@ -84,7 +84,7 @@ [Other.Info] text="""Inundation depth thresholds:
Minor: 0.25 m
- Major: 2.0 m
- Destroyed: >2.0 m""" - image="https://openclipart.org/image/800px/302413" + Major: 1.5 m
+ Destroyed: >1.5 m""" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_people.toml b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_people.toml index c6df8cc3e..e96aefa6c 100644 --- a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_people.toml +++ b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_people.toml @@ -51,7 +51,7 @@ font = 20 [Other.Info] text="""Thresholds:
- Impacted: <= 6 feet
- Displaced: > 6 feet
""" - image="https://openclipart.org/image/800px/302413" + Impacted: <= 1.5 m
+ Displaced: > 1.5 m
""" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_risk_charts.toml b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_risk_charts.toml index 0cf128933..90c44c996 100644 --- a/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_risk_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/OSM/with_SVI/config_risk_charts.toml @@ -116,6 +116,6 @@ [Other.Info] text="""Thresholds:
- Impacted: >= 0.25 feet
""" - image="https://openclipart.org/image/800px/302413" + Impacted: >= 0.05 m
""" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/OSM/without_SVI/config_charts.toml b/flood_adapt/database_builder/templates/infographics/OSM/without_SVI/config_charts.toml index eca5d6769..f0abeb87f 100644 --- a/flood_adapt/database_builder/templates/infographics/OSM/without_SVI/config_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/OSM/without_SVI/config_charts.toml @@ -84,7 +84,7 @@ [Other.Info] text="""Inundation depth thresholds:
Minor: 0.25 m
- Major: 2.0 m
- Destroyed: >2.0 m""" - image="https://openclipart.org/image/800px/302413" + Major: 1.5 m
+ Destroyed: >1.5 m""" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_charts.toml b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_charts.toml index 3feca28f0..957b4b3b9 100644 --- a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_charts.toml @@ -122,5 +122,5 @@ Minor: <= 1 feet
Major: > 1 and <= 6 feet
Destroyed: > 6 feet
""" - image="https://openclipart.org/image/800px/302413" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_people.toml b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_people.toml index fd126683a..f5ce6ab44 100644 --- a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_people.toml +++ b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_people.toml @@ -56,5 +56,5 @@ 'Since some homes do not have an SVI,
total number of homes might be different
between this and the above graph.'""" - image="https://openclipart.org/image/800px/302413" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_risk_charts.toml b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_risk_charts.toml index 0cf128933..247376b24 100644 --- a/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_risk_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/US_NSI/with_SVI/config_risk_charts.toml @@ -117,5 +117,5 @@ [Other.Info] text="""Thresholds:
Impacted: >= 0.25 feet
""" - image="https://openclipart.org/image/800px/302413" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/database_builder/templates/infographics/US_NSI/without_SVI/config_charts.toml b/flood_adapt/database_builder/templates/infographics/US_NSI/without_SVI/config_charts.toml index 3feca28f0..957b4b3b9 100644 --- a/flood_adapt/database_builder/templates/infographics/US_NSI/without_SVI/config_charts.toml +++ b/flood_adapt/database_builder/templates/infographics/US_NSI/without_SVI/config_charts.toml @@ -122,5 +122,5 @@ Minor: <= 1 feet
Major: > 1 and <= 6 feet
Destroyed: > 6 feet
""" - image="https://openclipart.org/image/800px/302413" + image="{image_path}/info.png" scale=0.1 diff --git a/flood_adapt/dbs_controller.py b/flood_adapt/dbs_controller.py index 25d2f856f..921a2fc76 100644 --- a/flood_adapt/dbs_controller.py +++ b/flood_adapt/dbs_controller.py @@ -16,6 +16,7 @@ from plotly.subplots import make_subplots from xarray import open_dataarray, open_dataset +from flood_adapt.adapter.sfincs_adapter import SfincsAdapter from flood_adapt.config import Settings from flood_adapt.dbs_classes.dbs_benefit import DbsBenefit from flood_adapt.dbs_classes.dbs_event import DbsEvent @@ -24,7 +25,6 @@ from flood_adapt.dbs_classes.dbs_scenario import DbsScenario from flood_adapt.dbs_classes.dbs_static import DbsStatic from flood_adapt.dbs_classes.dbs_strategy import DbsStrategy -from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event_factory import EventFactory from flood_adapt.object_model.interface.benefits import IBenefit diff --git a/flood_adapt/object_model/direct_impacts.py b/flood_adapt/object_model/direct_impacts.py index c91da34b1..b90e503a2 100644 --- a/flood_adapt/object_model/direct_impacts.py +++ b/flood_adapt/object_model/direct_impacts.py @@ -16,8 +16,8 @@ from fiat_toolbox.spatial_output.aggregation_areas import AggregationAreas from fiat_toolbox.spatial_output.points_to_footprint import PointsToFootprints +from flood_adapt.adapter.fiat_adapter import FiatAdapter from flood_adapt.config import Settings -from flood_adapt.integrator.fiat_adapter import FiatAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.direct_impact.impact_strategy import ImpactStrategy from flood_adapt.object_model.direct_impact.socio_economic_change import ( diff --git a/flood_adapt/object_model/hazard/hazard.py b/flood_adapt/object_model/hazard/hazard.py index b45061d17..18ea4efe1 100644 --- a/flood_adapt/object_model/hazard/hazard.py +++ b/flood_adapt/object_model/hazard/hazard.py @@ -12,8 +12,8 @@ from noaa_coops.station import COOPSAPIError from numpy import matlib +from flood_adapt.adapter.sfincs_adapter import SfincsAdapter from flood_adapt.config import Settings -from flood_adapt.integrator.sfincs_adapter import SfincsAdapter from flood_adapt.log import FloodAdaptLogging from flood_adapt.object_model.hazard.event.event import Event from flood_adapt.object_model.hazard.event.event_factory import EventFactory diff --git a/flood_adapt/object_model/interface/events.py b/flood_adapt/object_model/interface/events.py index e83bf8bd6..e39f93280 100644 --- a/flood_adapt/object_model/interface/events.py +++ b/flood_adapt/object_model/interface/events.py @@ -148,7 +148,7 @@ class SurgeModel(BaseModel): """BaseModel describing the expected variables and data types for harmonic tide parameters of synthetic model.""" source: SurgeSource - shape_type: Optional[str] = "gaussian" + shape_type: ShapeType = ShapeType.gaussian shape_duration: Optional[float] = None shape_peak_time: Optional[float] = None shape_peak: Optional[UnitfulLength] = None diff --git a/flood_adapt/object_model/interface/site.py b/flood_adapt/object_model/interface/site.py index aa940abb5..0ce029d78 100644 --- a/flood_adapt/object_model/interface/site.py +++ b/flood_adapt/object_model/interface/site.py @@ -27,7 +27,7 @@ class Cstype(str, Enum): spherical = "spherical" -class Floodmap_type(str, Enum): +class FloodmapType(str, Enum): """The accepted input for the variable floodmap in Site.""" water_level = "water_level" @@ -68,7 +68,7 @@ class WaterLevelReferenceModel(BaseModel): other: Optional[list[VerticalReferenceModel]] = [] # only for plotting -class Cyclone_track_databaseModel(BaseModel): +class CycloneTrackDatabaseModel(BaseModel): """The accepted input for the variable cyclone_track_database in Site.""" file: str @@ -105,7 +105,7 @@ class MapboxLayersModel(BaseModel): flood_map_colors: list[str] aggregation_dmg_bins: list[float] aggregation_dmg_colors: list[str] - footprints_dmg_type: DamageType = "absolute" + footprints_dmg_type: DamageType = DamageType.absolute footprints_dmg_bins: list[float] footprints_dmg_colors: list[str] svi_bins: Optional[list[float]] = [] @@ -195,9 +195,9 @@ class FiatModel(BaseModel): exposure_crs: str bfe: Optional[BFEModel] = None aggregation: list[AggregationModel] - floodmap_type: Floodmap_type + floodmap_type: FloodmapType non_building_names: Optional[list[str]] - damage_unit: Optional[str] = "$" + damage_unit: str = "$" building_footprints: Optional[str] = None roads_file_name: Optional[str] = None new_development_file_name: Optional[str] = None @@ -223,7 +223,7 @@ class TideGaugeModel(BaseModel): """ name: Optional[Union[int, str]] = None - description: Optional[str] = "" + description: str = "" source: TideGaugeSource ID: Optional[int] = None # This is the only attribute that is currently used in FA! file: Optional[str] = None # for locally stored data @@ -244,14 +244,14 @@ def validate_selection_type(self) -> "TideGaugeModel": return self -class Obs_pointModel(BaseModel): +class ObsPointModel(BaseModel): """The accepted input for the variable obs_point in Site. obs_points is used to define output locations in the hazard model, which will be plotted in the user interface. """ name: Union[int, str] - description: Optional[str] = "" + description: str = "" ID: Optional[int] = ( None # if the observation station is also a tide gauge, this ID should be the same as for obs_station ) @@ -293,19 +293,18 @@ class SiteModel(IObjectModel): lon: float sfincs: SfincsModel water_level: WaterLevelReferenceModel - cyclone_track_database: Optional[Cyclone_track_databaseModel] = None + cyclone_track_database: Optional[CycloneTrackDatabaseModel] = None slr: SlrModel gui: GuiModel risk: RiskModel - # TODO what should the default be - flood_frequency: Optional[FloodFrequencyModel] = FloodFrequencyModel( + flood_frequency: FloodFrequencyModel = FloodFrequencyModel( flooding_threshold=UnitfulLength(value=0.0, units=UnitTypesLength.meters) ) dem: DemModel fiat: FiatModel tide_gauge: Optional[TideGaugeModel] = None river: Optional[list[RiverModel]] = None - obs_point: Optional[list[Obs_pointModel]] = None + obs_point: Optional[list[ObsPointModel]] = None benefits: BenefitsModel scs: Optional[SCSModel] = None # optional for the US to use SCS rainfall curves diff --git a/pyproject.toml b/pyproject.toml index ec020dcf0..f0aaa44f6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ dependencies = [ "fiat-toolbox", "geojson", "geopandas", - "hydromt-fiat@ git+https://github.com/deltares/hydromt_fiat.git@floodadapt", + "hydromt-fiat@ git+https://github.com/deltares/hydromt_fiat.git", "hydromt-sfincs@ git+https://github.com/Deltares-research/hydromt_sfincs_insiders.git@FA_quadtree", "numpy < 2.0", "numpy-financial", diff --git a/tests/test_integrator/test_sfincs_adapter.py b/tests/test_integrator/test_sfincs_adapter.py index c572c0d19..0a01e491e 100644 --- a/tests/test_integrator/test_sfincs_adapter.py +++ b/tests/test_integrator/test_sfincs_adapter.py @@ -3,7 +3,7 @@ import pandas as pd import pytest -from flood_adapt.integrator.sfincs_adapter import SfincsAdapter +from flood_adapt.adapter.sfincs_adapter import SfincsAdapter from flood_adapt.object_model.scenario import Scenario

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