Skip to content

Latest commit

 

History

History
127 lines (97 loc) · 3.9 KB

README.md

File metadata and controls

127 lines (97 loc) · 3.9 KB

Arborist

Arborist creates turtle files of the istances of data based on an ontology. The turtle files are needed for the BONSAI knowledge graph.

The turtle files generated are stored in the BONSAI rdf repository.

Currently generates the following:

  • Activity types, flow objects, and custom locations for EXIOBASE 3.3.17.
  • Custom activity types and flow objects for electricity modelling
  • URIs for the complete years 2010-2019.

Installation

with package managers [pip or conda]

Installable via pip or conda (channel cmutel). See requirements, though these should be installed automatically.

manual

Call python setup.py install inside the repository:

git clone git@github.com:BONSAMURAIS/arborist.git
cd arborist
python setup.py install

Usage

As a command line tool

If the package is correctly installed, you can use the command line tool arborist-cli to produce the rdfs as follows:

mkdir output
arborist-cli regenerate output

This will put inside the output directory the following contents:

output
├── activitytype
│   ├── core
│   │   └── electricity_grid
│   │       └── electricity_grid.ttl
│   ├── entsoe
│   │   └── entsoe.ttl
│   ├── exiobase3_3_17
│   │   └── exiobase3_3_17.ttl
│   └── lcia
│       └── climate_change
│           └── climate_change.ttl
├── flowobject
│   ├── core
│   │   └── electricity_grid
│   │       └── electricity_grid.ttl
│   ├── exiobase3_3_17
│   │   └── exiobase3_3_17.ttl
│   ├── lcia
│   │   └── climate_change
│   │       └── climate_change.ttl
│   └── us_epa_elem
│       └── us_epa_elem.ttl
├── foaf
│   └── foaf.ttl
├── location
│   └── exiobase3_3_17
│       └── exiobase3_3_17.ttl
├── time
│   └── time.ttl
|── unit
|   └── unit.ttl
└── prov
    └── prov.ttl

Emission flows

The library can also be used to extract emission flows from the exiobase extension table. To do this, first download MR_HSUT_2011_v3_3_17_extensions.xlsb into a input/ folder, then set "extract_exiobase_emissions": true in config.json. The exiobase extensions table can be downloaded from this url: www.exiobase.eu.

Using the cli tool to extract emissions can be done from the terminal with the -i input/dir argument, such as: arborist-cli regenerate output -i input/.

Configuration

The package provides a Config.json file which enables the user to choose what graphs to extract. The value True enables the extraction of the specified graph, whereas the value False disables the creation of the specified graph.

As a library

Generation of URIs

This library has a number of generation functions; you can call them all with:

from arborist import generate_all
generate_all("filepath/to/rdf/repository/base/")

arborist will write out the turtle files in the correct directory structure to commit changes to the rdf repository.

The RDF output directory has the following structure:

activitytype
    core
    entsoe
    exiobase3_3_17
    lcia
flowobject
    core
    exiobase3_3_17
    lcia
    us_epa_elem
location
    exiobase3_3_17
prov
time
unit
foaf

The convention now is that each subdirectory has a .ttl file and and .jsonld file with the same name as the directory.

Retrieval of URIs

Contributing

All contributions should be via pull request, do not edit this package directly! We actually use it for stuff.