diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 138fb886d6aea0..b4a6eb9adb7704 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -8,16 +8,9 @@ Please include a summary of the change and which issue is fixed. Please also inc # Screenshots - - - - - - - - - -
Before: After:
......
+| Before | After | +|--------|-------| +| ... | ... | # Checklist diff --git a/api/.env.example b/api/.env.example index 40f35cff6c66f6..52cdd9ecb28dc3 100644 --- a/api/.env.example +++ b/api/.env.example @@ -383,7 +383,7 @@ LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S LOG_TZ=UTC # Indexing configuration -INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000 +INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000 # Workflow runtime configuration WORKFLOW_MAX_EXECUTION_STEPS=500 @@ -413,4 +413,3 @@ RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5 CREATE_TIDB_SERVICE_JOB_ENABLED=false -RETRIEVAL_TOP_N=0 \ No newline at end of file diff --git a/api/.ruff.toml b/api/.ruff.toml new file mode 100644 index 00000000000000..0f3185223c1596 --- /dev/null +++ b/api/.ruff.toml @@ -0,0 +1,96 @@ +exclude = [ + "migrations/*", +] +line-length = 120 + +[format] +quote-style = "double" + +[lint] +preview = true +select = [ + "B", # flake8-bugbear rules + "C4", # flake8-comprehensions + "E", # pycodestyle E rules + "F", # pyflakes rules + "FURB", # refurb rules + "I", # isort rules + "N", # pep8-naming + "PT", # flake8-pytest-style rules + "PLC0208", # iteration-over-set + "PLC2801", # unnecessary-dunder-call + "PLC0414", # useless-import-alias + "PLE0604", # invalid-all-object + "PLE0605", # invalid-all-format + "PLR0402", # manual-from-import + "PLR1711", # useless-return + "PLR1714", # repeated-equality-comparison + "RUF013", # implicit-optional + "RUF019", # unnecessary-key-check + "RUF100", # unused-noqa + "RUF101", # redirected-noqa + "RUF200", # invalid-pyproject-toml + "RUF022", # unsorted-dunder-all + "S506", # unsafe-yaml-load + "SIM", # flake8-simplify rules + "TRY400", # error-instead-of-exception + "TRY401", # verbose-log-message + "UP", # pyupgrade rules + "W191", # tab-indentation + "W605", # invalid-escape-sequence +] + +ignore = [ + "E402", # module-import-not-at-top-of-file + "E711", # none-comparison + "E712", # true-false-comparison + "E721", # type-comparison + "E722", # bare-except + "E731", # lambda-assignment + "F821", # undefined-name + "F841", # unused-variable + "FURB113", # repeated-append + "FURB152", # math-constant + "UP007", # non-pep604-annotation + "UP032", # f-string + "B005", # strip-with-multi-characters + "B006", # mutable-argument-default + "B007", # unused-loop-control-variable + "B026", # star-arg-unpacking-after-keyword-arg + "B904", # raise-without-from-inside-except + "B905", # zip-without-explicit-strict + "N806", # non-lowercase-variable-in-function + "N815", # mixed-case-variable-in-class-scope + "PT011", # pytest-raises-too-broad + "SIM102", # collapsible-if + "SIM103", # needless-bool + "SIM105", # suppressible-exception + "SIM107", # return-in-try-except-finally + "SIM108", # if-else-block-instead-of-if-exp + "SIM113", # eumerate-for-loop + "SIM117", # multiple-with-statements + "SIM210", # if-expr-with-true-false + "SIM300", # yoda-conditions, +] + +[lint.per-file-ignores] +"__init__.py" = [ + "F401", # unused-import + "F811", # redefined-while-unused +] +"configs/*" = [ + "N802", # invalid-function-name +] +"libs/gmpy2_pkcs10aep_cipher.py" = [ + "N803", # invalid-argument-name +] +"tests/*" = [ + "F811", # redefined-while-unused + "F401", # unused-import +] + +[lint.pyflakes] +extend-generics = [ + "_pytest.monkeypatch", + "tests.integration_tests", +] diff --git a/api/commands.py b/api/commands.py index b6f3b52d047867..09548ac9f338cd 100644 --- a/api/commands.py +++ b/api/commands.py @@ -259,7 +259,7 @@ def migrate_knowledge_vector_database(): skipped_count = 0 total_count = 0 vector_type = dify_config.VECTOR_STORE - upper_colletion_vector_types = { + upper_collection_vector_types = { VectorType.MILVUS, VectorType.PGVECTOR, VectorType.RELYT, @@ -267,7 +267,7 @@ def migrate_knowledge_vector_database(): VectorType.ORACLE, VectorType.ELASTICSEARCH, } - lower_colletion_vector_types = { + lower_collection_vector_types = { VectorType.ANALYTICDB, VectorType.CHROMA, VectorType.MYSCALE, @@ -307,7 +307,7 @@ def migrate_knowledge_vector_database(): continue collection_name = "" dataset_id = dataset.id - if vector_type in upper_colletion_vector_types: + if vector_type in upper_collection_vector_types: collection_name = Dataset.gen_collection_name_by_id(dataset_id) elif vector_type == VectorType.QDRANT: if dataset.collection_binding_id: @@ -323,7 +323,7 @@ def migrate_knowledge_vector_database(): else: collection_name = Dataset.gen_collection_name_by_id(dataset_id) - elif vector_type in lower_colletion_vector_types: + elif vector_type in lower_collection_vector_types: collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() else: raise ValueError(f"Vector store {vector_type} is not supported.") diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index 275b16a9131add..f1cb3efda7b3e3 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -626,8 +626,6 @@ class DataSetConfig(BaseSettings): default=30, ) - RETRIEVAL_TOP_N: int = Field(description="number of retrieval top_n", default=0) - class WorkspaceConfig(BaseSettings): """ @@ -647,7 +645,7 @@ class IndexingConfig(BaseSettings): INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: PositiveInt = Field( description="Maximum token length for text segmentation during indexing", - default=1000, + default=4000, ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index 5d2a0231b0009d..a2703ccb946390 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="0.12.1", + default="0.13.1", ) COMMIT_SHA: str = Field( diff --git a/api/controllers/console/app/workflow.py b/api/controllers/console/app/workflow.py index cc05a0d509a13a..c85d554069c4ef 100644 --- a/api/controllers/console/app/workflow.py +++ b/api/controllers/console/app/workflow.py @@ -100,11 +100,11 @@ def post(self, app_model: App): try: environment_variables_list = args.get("environment_variables") or [] environment_variables = [ - variable_factory.build_variable_from_mapping(obj) for obj in environment_variables_list + variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list ] conversation_variables_list = args.get("conversation_variables") or [] conversation_variables = [ - variable_factory.build_variable_from_mapping(obj) for obj in conversation_variables_list + variable_factory.build_conversation_variable_from_mapping(obj) for obj in conversation_variables_list ] workflow = workflow_service.sync_draft_workflow( app_model=app_model, @@ -382,7 +382,7 @@ def get(self, app_model: App, block_type: str): filters = None if args.get("q"): try: - filters = json.loads(args.get("q")) + filters = json.loads(args.get("q", "")) except json.JSONDecodeError: raise ValueError("Invalid filters") diff --git a/api/controllers/console/datasets/datasets_document.py b/api/controllers/console/datasets/datasets_document.py index f20261abc227b6..de3b4f62620501 100644 --- a/api/controllers/console/datasets/datasets_document.py +++ b/api/controllers/console/datasets/datasets_document.py @@ -106,6 +106,7 @@ def get(self): # get default rules mode = DocumentService.DEFAULT_RULES["mode"] rules = DocumentService.DEFAULT_RULES["rules"] + limits = DocumentService.DEFAULT_RULES["limits"] if document_id: # get the latest process rule document = Document.query.get_or_404(document_id) @@ -132,7 +133,7 @@ def get(self): mode = dataset_process_rule.mode rules = dataset_process_rule.rules_dict - return {"mode": mode, "rules": rules} + return {"mode": mode, "rules": rules, "limits": limits} class DatasetDocumentListApi(Resource): diff --git a/api/controllers/console/explore/installed_app.py b/api/controllers/console/explore/installed_app.py index b60c4e176b3214..3de179164de91d 100644 --- a/api/controllers/console/explore/installed_app.py +++ b/api/controllers/console/explore/installed_app.py @@ -1,5 +1,6 @@ from datetime import UTC, datetime +from flask import request from flask_login import current_user from flask_restful import Resource, inputs, marshal_with, reqparse from sqlalchemy import and_ @@ -20,8 +21,17 @@ class InstalledAppsListApi(Resource): @account_initialization_required @marshal_with(installed_app_list_fields) def get(self): + app_id = request.args.get("app_id", default=None, type=str) current_tenant_id = current_user.current_tenant_id - installed_apps = db.session.query(InstalledApp).filter(InstalledApp.tenant_id == current_tenant_id).all() + + if app_id: + installed_apps = ( + db.session.query(InstalledApp) + .filter(and_(InstalledApp.tenant_id == current_tenant_id, InstalledApp.app_id == app_id)) + .all() + ) + else: + installed_apps = db.session.query(InstalledApp).filter(InstalledApp.tenant_id == current_tenant_id).all() current_user.role = TenantService.get_user_role(current_user, current_user.current_tenant) installed_apps = [ diff --git a/api/controllers/service_api/app/app.py b/api/controllers/service_api/app/app.py index 88b13faa52a69c..ecff7d07e974d9 100644 --- a/api/controllers/service_api/app/app.py +++ b/api/controllers/service_api/app/app.py @@ -48,7 +48,8 @@ class AppInfoApi(Resource): @validate_app_token def get(self, app_model: App): """Get app information""" - return {"name": app_model.name, "description": app_model.description} + tags = [tag.name for tag in app_model.tags] + return {"name": app_model.name, "description": app_model.description, "tags": tags} api.add_resource(AppParameterApi, "/parameters") diff --git a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py index b5e4554181c06e..5adcf26f1486e8 100644 --- a/api/core/app/app_config/easy_ui_based_app/model_config/manager.py +++ b/api/core/app/app_config/easy_ui_based_app/model_config/manager.py @@ -1,3 +1,6 @@ +from collections.abc import Mapping +from typing import Any + from core.app.app_config.entities import ModelConfigEntity from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.model_providers import model_provider_factory @@ -36,7 +39,7 @@ def convert(cls, config: dict) -> ModelConfigEntity: ) @classmethod - def validate_and_set_defaults(cls, tenant_id: str, config: dict) -> tuple[dict, list[str]]: + def validate_and_set_defaults(cls, tenant_id: str, config: Mapping[str, Any]) -> tuple[dict, list[str]]: """ Validate and set defaults for model config diff --git a/api/core/app/apps/README.md b/api/core/app/apps/README.md index 856690dc57c6c9..7a57bb36585e87 100644 --- a/api/core/app/apps/README.md +++ b/api/core/app/apps/README.md @@ -2,7 +2,7 @@ Due to the presence of tasks in App Runner that require long execution times, such as LLM generation and external requests, Flask-Sqlalchemy's strategy for database connection pooling is to allocate one connection (transaction) per request. This approach keeps a connection occupied even during non-DB tasks, leading to the inability to acquire new connections during high concurrency requests due to multiple long-running tasks. -Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid deattach errors. +Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid detach errors. Examples: diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index ffe56ce4105c1e..bd4fd9cd3b2646 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -2,8 +2,8 @@ import logging import threading import uuid -from collections.abc import Generator -from typing import Any, Literal, Optional, Union, overload +from collections.abc import Generator, Mapping +from typing import Any, Optional, Union from flask import Flask, current_app from pydantic import ValidationError @@ -23,6 +23,7 @@ from core.app.entities.task_entities import ChatbotAppBlockingResponse, ChatbotAppStreamResponse from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError from core.ops.ops_trace_manager import TraceQueueManager +from core.prompt.utils.get_thread_messages_length import get_thread_messages_length from extensions.ext_database import db from factories import file_factory from models.account import Account @@ -33,37 +34,17 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): - @overload - def generate( - self, - app_model: App, - workflow: Workflow, - user: Union[Account, EndUser], - args: dict, - invoke_from: InvokeFrom, - stream: Literal[True] = True, - ) -> Generator[str, None, None]: ... + _dialogue_count: int - @overload def generate( self, app_model: App, workflow: Workflow, user: Union[Account, EndUser], - args: dict, + args: Mapping[str, Any], invoke_from: InvokeFrom, - stream: Literal[False] = False, - ) -> dict: ... - - def generate( - self, - app_model: App, - workflow: Workflow, - user: Union[Account, EndUser], - args: dict, - invoke_from: InvokeFrom, - stream: bool = True, - ) -> dict[str, Any] | Generator[str, Any, None]: + streaming: bool = True, + ) -> Mapping[str, Any] | Generator[str, None, None]: """ Generate App response. @@ -134,7 +115,7 @@ def generate( files=file_objs, parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, - stream=stream, + stream=streaming, invoke_from=invoke_from, extras=extras, trace_manager=trace_manager, @@ -148,12 +129,12 @@ def generate( invoke_from=invoke_from, application_generate_entity=application_generate_entity, conversation=conversation, - stream=stream, + stream=streaming, ) def single_iteration_generate( - self, app_model: App, workflow: Workflow, node_id: str, user: Account, args: dict, stream: bool = True - ) -> dict[str, Any] | Generator[str, Any, None]: + self, app_model: App, workflow: Workflow, node_id: str, user: Account, args: dict, streaming: bool = True + ) -> Mapping[str, Any] | Generator[str, None, None]: """ Generate App response. @@ -182,7 +163,7 @@ def single_iteration_generate( query="", files=[], user_id=user.id, - stream=stream, + stream=streaming, invoke_from=InvokeFrom.DEBUGGER, extras={"auto_generate_conversation_name": False}, single_iteration_run=AdvancedChatAppGenerateEntity.SingleIterationRunEntity( @@ -197,7 +178,7 @@ def single_iteration_generate( invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, conversation=None, - stream=stream, + stream=streaming, ) def _generate( @@ -209,7 +190,7 @@ def _generate( application_generate_entity: AdvancedChatAppGenerateEntity, conversation: Optional[Conversation] = None, stream: bool = True, - ) -> dict[str, Any] | Generator[str, Any, None]: + ) -> Mapping[str, Any] | Generator[str, None, None]: """ Generate App response. @@ -233,6 +214,9 @@ def _generate( db.session.commit() db.session.refresh(conversation) + # get conversation dialogue count + self._dialogue_count = get_thread_messages_length(conversation.id) + # init queue manager queue_manager = MessageBasedAppQueueManager( task_id=application_generate_entity.task_id, @@ -303,6 +287,7 @@ def _generate_worker( queue_manager=queue_manager, conversation=conversation, message=message, + dialogue_count=self._dialogue_count, ) runner.run() @@ -356,6 +341,7 @@ def _handle_advanced_chat_response( message=message, user=user, stream=stream, + dialogue_count=self._dialogue_count, ) try: diff --git a/api/core/app/apps/advanced_chat/app_runner.py b/api/core/app/apps/advanced_chat/app_runner.py index 65d744eddff5c8..cf0c9d7593429a 100644 --- a/api/core/app/apps/advanced_chat/app_runner.py +++ b/api/core/app/apps/advanced_chat/app_runner.py @@ -39,12 +39,14 @@ def __init__( queue_manager: AppQueueManager, conversation: Conversation, message: Message, + dialogue_count: int, ) -> None: super().__init__(queue_manager) self.application_generate_entity = application_generate_entity self.conversation = conversation self.message = message + self._dialogue_count = dialogue_count def run(self) -> None: app_config = self.application_generate_entity.app_config @@ -122,19 +124,13 @@ def run(self) -> None: session.commit() - # Increment dialogue count. - self.conversation.dialogue_count += 1 - - conversation_dialogue_count = self.conversation.dialogue_count - db.session.commit() - # Create a variable pool. system_inputs = { SystemVariableKey.QUERY: query, SystemVariableKey.FILES: files, SystemVariableKey.CONVERSATION_ID: self.conversation.id, SystemVariableKey.USER_ID: user_id, - SystemVariableKey.DIALOGUE_COUNT: conversation_dialogue_count, + SystemVariableKey.DIALOGUE_COUNT: self._dialogue_count, SystemVariableKey.APP_ID: app_config.app_id, SystemVariableKey.WORKFLOW_ID: app_config.workflow_id, SystemVariableKey.WORKFLOW_RUN_ID: self.application_generate_entity.workflow_run_id, diff --git a/api/core/app/apps/advanced_chat/generate_task_pipeline.py b/api/core/app/apps/advanced_chat/generate_task_pipeline.py index 0dd58133918f62..cd12690e286103 100644 --- a/api/core/app/apps/advanced_chat/generate_task_pipeline.py +++ b/api/core/app/apps/advanced_chat/generate_task_pipeline.py @@ -88,6 +88,7 @@ def __init__( message: Message, user: Union[Account, EndUser], stream: bool, + dialogue_count: int, ) -> None: """ Initialize AdvancedChatAppGenerateTaskPipeline. @@ -98,6 +99,7 @@ def __init__( :param message: message :param user: user :param stream: stream + :param dialogue_count: dialogue count """ super().__init__(application_generate_entity, queue_manager, user, stream) @@ -114,7 +116,7 @@ def __init__( SystemVariableKey.FILES: application_generate_entity.files, SystemVariableKey.CONVERSATION_ID: conversation.id, SystemVariableKey.USER_ID: user_id, - SystemVariableKey.DIALOGUE_COUNT: conversation.dialogue_count, + SystemVariableKey.DIALOGUE_COUNT: dialogue_count, SystemVariableKey.APP_ID: application_generate_entity.app_config.app_id, SystemVariableKey.WORKFLOW_ID: workflow.id, SystemVariableKey.WORKFLOW_RUN_ID: application_generate_entity.workflow_run_id, diff --git a/api/core/app/apps/agent_chat/app_config_manager.py b/api/core/app/apps/agent_chat/app_config_manager.py index 9040f18bfd71d3..417d23eccfb553 100644 --- a/api/core/app/apps/agent_chat/app_config_manager.py +++ b/api/core/app/apps/agent_chat/app_config_manager.py @@ -1,5 +1,6 @@ import uuid -from typing import Optional +from collections.abc import Mapping +from typing import Any, Optional from core.agent.entities import AgentEntity from core.app.app_config.base_app_config_manager import BaseAppConfigManager @@ -85,7 +86,7 @@ def get_app_config( return app_config @classmethod - def config_validate(cls, tenant_id: str, config: dict) -> dict: + def config_validate(cls, tenant_id: str, config: Mapping[str, Any]) -> dict: """ Validate for agent chat app model config diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 48ee590e2f4e9f..b659c1855624b5 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -1,8 +1,8 @@ import logging import threading import uuid -from collections.abc import Generator -from typing import Any, Literal, Union, overload +from collections.abc import Generator, Mapping +from typing import Any, Union from flask import Flask, current_app from pydantic import ValidationError @@ -28,34 +28,15 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): - @overload def generate( self, + *, app_model: App, user: Union[Account, EndUser], - args: dict, + args: Mapping[str, Any], invoke_from: InvokeFrom, - stream: Literal[True] = True, - ) -> Generator[dict, None, None]: ... - - @overload - def generate( - self, - app_model: App, - user: Union[Account, EndUser], - args: dict, - invoke_from: InvokeFrom, - stream: Literal[False] = False, - ) -> dict: ... - - def generate( - self, - app_model: App, - user: Union[Account, EndUser], - args: Any, - invoke_from: InvokeFrom, - stream: bool = True, - ) -> Union[dict, Generator[dict, None, None]]: + streaming: bool = True, + ) -> Mapping[str, Any] | Generator[str, None, None]: """ Generate App response. @@ -65,7 +46,7 @@ def generate( :param invoke_from: invoke from source :param stream: is stream """ - if not stream: + if not streaming: raise ValueError("Agent Chat App does not support blocking mode") if not args.get("query"): @@ -96,7 +77,8 @@ def generate( # validate config override_model_config_dict = AgentChatAppConfigManager.config_validate( - tenant_id=app_model.tenant_id, config=args.get("model_config") + tenant_id=app_model.tenant_id, + config=args["model_config"], ) # always enable retriever resource in debugger mode @@ -141,7 +123,7 @@ def generate( files=file_objs, parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, - stream=stream, + stream=streaming, invoke_from=invoke_from, extras=extras, call_depth=0, @@ -182,7 +164,7 @@ def generate( conversation=conversation, message=message, user=user, - stream=stream, + stream=streaming, ) return AgentChatAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from) diff --git a/api/core/app/apps/base_app_generate_response_converter.py b/api/core/app/apps/base_app_generate_response_converter.py index 62e79ec444a48a..be4027132ba903 100644 --- a/api/core/app/apps/base_app_generate_response_converter.py +++ b/api/core/app/apps/base_app_generate_response_converter.py @@ -1,6 +1,6 @@ import logging from abc import ABC, abstractmethod -from collections.abc import Generator +from collections.abc import Generator, Mapping from typing import Any, Union from core.app.entities.app_invoke_entities import InvokeFrom @@ -14,8 +14,10 @@ class AppGenerateResponseConverter(ABC): @classmethod def convert( - cls, response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], invoke_from: InvokeFrom - ) -> dict[str, Any] | Generator[str, Any, None]: + cls, + response: Union[AppBlockingResponse, Generator[AppStreamResponse, Any, None]], + invoke_from: InvokeFrom, + ) -> Mapping[str, Any] | Generator[str, None, None]: if invoke_from in {InvokeFrom.DEBUGGER, InvokeFrom.SERVICE_API}: if isinstance(response, AppBlockingResponse): return cls.convert_blocking_full_response(response) @@ -80,7 +82,7 @@ def _get_simple_metadata(cls, metadata: dict[str, Any]): for resource in metadata["retriever_resources"]: updated_resources.append( { - "segment_id": resource["segment_id"], + "segment_id": resource.get("segment_id", ""), "position": resource["position"], "document_name": resource["document_name"], "score": resource["score"], diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 5b3efe12ebaece..6a9e1623881e17 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -55,7 +55,7 @@ def generate( user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, - stream: bool = True, + streaming: bool = True, ) -> Union[dict, Generator[str, None, None]]: """ Generate App response. @@ -142,7 +142,7 @@ def generate( invoke_from=invoke_from, extras=extras, trace_manager=trace_manager, - stream=stream, + stream=streaming, ) # init generate records @@ -179,7 +179,7 @@ def generate( conversation=conversation, message=message, user=user, - stream=stream, + stream=streaming, ) return ChatAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from) diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index e9e50015bd5ec5..324e837a1c8f29 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -50,7 +50,7 @@ def generate( ) -> dict: ... def generate( - self, app_model: App, user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, stream: bool = True + self, app_model: App, user: Union[Account, EndUser], args: Any, invoke_from: InvokeFrom, streaming: bool = True ) -> Union[dict, Generator[str, None, None]]: """ Generate App response. @@ -119,7 +119,7 @@ def generate( query=query, files=file_objs, user_id=user.id, - stream=stream, + stream=streaming, invoke_from=invoke_from, extras=extras, trace_manager=trace_manager, @@ -158,7 +158,7 @@ def generate( conversation=conversation, message=message, user=user, - stream=stream, + stream=streaming, ) return CompletionAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from) diff --git a/api/core/app/apps/workflow/app_generator.py b/api/core/app/apps/workflow/app_generator.py index 31efe43412ea6b..7acf05326efe3f 100644 --- a/api/core/app/apps/workflow/app_generator.py +++ b/api/core/app/apps/workflow/app_generator.py @@ -3,7 +3,7 @@ import threading import uuid from collections.abc import Generator, Mapping, Sequence -from typing import Any, Literal, Optional, Union, overload +from typing import Any, Optional, Union from flask import Flask, current_app from pydantic import ValidationError @@ -30,43 +30,18 @@ class WorkflowAppGenerator(BaseAppGenerator): - @overload - def generate( - self, - app_model: App, - workflow: Workflow, - user: Union[Account, EndUser], - args: dict, - invoke_from: InvokeFrom, - stream: Literal[True] = True, - call_depth: int = 0, - workflow_thread_pool_id: Optional[str] = None, - ) -> Generator[str, None, None]: ... - - @overload - def generate( - self, - app_model: App, - workflow: Workflow, - user: Union[Account, EndUser], - args: dict, - invoke_from: InvokeFrom, - stream: Literal[False] = False, - call_depth: int = 0, - workflow_thread_pool_id: Optional[str] = None, - ) -> dict: ... - def generate( self, + *, app_model: App, workflow: Workflow, - user: Union[Account, EndUser], + user: Account | EndUser, args: Mapping[str, Any], invoke_from: InvokeFrom, - stream: bool = True, + streaming: bool = True, call_depth: int = 0, workflow_thread_pool_id: Optional[str] = None, - ): + ) -> Mapping[str, Any] | Generator[str, None, None]: files: Sequence[Mapping[str, Any]] = args.get("files") or [] # parse files @@ -101,7 +76,7 @@ def generate( ), files=system_files, user_id=user.id, - stream=stream, + stream=streaming, invoke_from=invoke_from, call_depth=call_depth, trace_manager=trace_manager, @@ -115,7 +90,7 @@ def generate( user=user, application_generate_entity=application_generate_entity, invoke_from=invoke_from, - stream=stream, + streaming=streaming, workflow_thread_pool_id=workflow_thread_pool_id, ) @@ -127,20 +102,9 @@ def _generate( user: Union[Account, EndUser], application_generate_entity: WorkflowAppGenerateEntity, invoke_from: InvokeFrom, - stream: bool = True, + streaming: bool = True, workflow_thread_pool_id: Optional[str] = None, - ) -> dict[str, Any] | Generator[str, None, None]: - """ - Generate App response. - - :param app_model: App - :param workflow: Workflow - :param user: account or end user - :param application_generate_entity: application generate entity - :param invoke_from: invoke from source - :param stream: is stream - :param workflow_thread_pool_id: workflow thread pool id - """ + ) -> Mapping[str, Any] | Generator[str, None, None]: # init queue manager queue_manager = WorkflowAppQueueManager( task_id=application_generate_entity.task_id, @@ -169,14 +133,20 @@ def _generate( workflow=workflow, queue_manager=queue_manager, user=user, - stream=stream, + stream=streaming, ) return WorkflowAppGenerateResponseConverter.convert(response=response, invoke_from=invoke_from) def single_iteration_generate( - self, app_model: App, workflow: Workflow, node_id: str, user: Account, args: dict, stream: bool = True - ) -> dict[str, Any] | Generator[str, Any, None]: + self, + app_model: App, + workflow: Workflow, + node_id: str, + user: Account, + args: Mapping[str, Any], + streaming: bool = True, + ) -> Mapping[str, Any] | Generator[str, None, None]: """ Generate App response. @@ -203,7 +173,7 @@ def single_iteration_generate( inputs={}, files=[], user_id=user.id, - stream=stream, + stream=streaming, invoke_from=InvokeFrom.DEBUGGER, extras={"auto_generate_conversation_name": False}, single_iteration_run=WorkflowAppGenerateEntity.SingleIterationRunEntity( @@ -218,7 +188,7 @@ def single_iteration_generate( user=user, invoke_from=InvokeFrom.DEBUGGER, application_generate_entity=application_generate_entity, - stream=stream, + streaming=streaming, ) def _generate_worker( diff --git a/api/core/app/apps/workflow_app_runner.py b/api/core/app/apps/workflow_app_runner.py index 1cf72ae79e4146..3d46b8bab03e17 100644 --- a/api/core/app/apps/workflow_app_runner.py +++ b/api/core/app/apps/workflow_app_runner.py @@ -43,7 +43,7 @@ ) from core.workflow.graph_engine.entities.graph import Graph from core.workflow.nodes import NodeType -from core.workflow.nodes.node_mapping import node_type_classes_mapping +from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING from core.workflow.workflow_entry import WorkflowEntry from extensions.ext_database import db from models.model import App @@ -138,7 +138,8 @@ def _get_graph_and_variable_pool_of_single_iteration( # Get node class node_type = NodeType(iteration_node_config.get("data", {}).get("type")) - node_cls = node_type_classes_mapping[node_type] + node_version = iteration_node_config.get("data", {}).get("version", "1") + node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version] # init variable pool variable_pool = VariablePool( diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py index 15543638fc0020..5e9b6517bae01f 100644 --- a/api/core/app/entities/queue_entities.py +++ b/api/core/app/entities/queue_entities.py @@ -2,7 +2,7 @@ from enum import Enum, StrEnum from typing import Any, Optional -from pydantic import BaseModel, field_validator +from pydantic import BaseModel from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk from core.workflow.entities.node_entities import NodeRunMetadataKey @@ -113,18 +113,6 @@ class QueueIterationNextEvent(AppQueueEvent): output: Optional[Any] = None # output for the current iteration duration: Optional[float] = None - @field_validator("output", mode="before") - @classmethod - def set_output(cls, v): - """ - Set output - """ - if v is None: - return None - if isinstance(v, int | float | str | bool | dict | list): - return v - raise ValueError("output must be a valid type") - class QueueIterationCompletedEvent(AppQueueEvent): """ diff --git a/api/core/app/features/rate_limiting/rate_limit.py b/api/core/app/features/rate_limiting/rate_limit.py index 227182f5ab0923..154a49ebda2b88 100644 --- a/api/core/app/features/rate_limiting/rate_limit.py +++ b/api/core/app/features/rate_limiting/rate_limit.py @@ -1,9 +1,9 @@ import logging import time import uuid -from collections.abc import Generator +from collections.abc import Generator, Mapping from datetime import timedelta -from typing import Optional, Union +from typing import Any, Optional, Union from core.errors.error import AppInvokeQuotaExceededError from extensions.ext_redis import redis_client @@ -88,20 +88,17 @@ def exit(self, request_id: str): def gen_request_key() -> str: return str(uuid.uuid4()) - def generate(self, generator: Union[Generator, callable, dict], request_id: str): - if isinstance(generator, dict): + def generate(self, generator: Union[Generator[str, None, None], Mapping[str, Any]], request_id: str): + if isinstance(generator, Mapping): return generator else: - return RateLimitGenerator(self, generator, request_id) + return RateLimitGenerator(rate_limit=self, generator=generator, request_id=request_id) class RateLimitGenerator: - def __init__(self, rate_limit: RateLimit, generator: Union[Generator, callable], request_id: str): + def __init__(self, rate_limit: RateLimit, generator: Generator[str, None, None], request_id: str): self.rate_limit = rate_limit - if callable(generator): - self.generator = generator() - else: - self.generator = generator + self.generator = generator self.request_id = request_id self.closed = False diff --git a/api/core/app/task_pipeline/workflow_cycle_manage.py b/api/core/app/task_pipeline/workflow_cycle_manage.py index d45726af466538..57a02f8bc85eac 100644 --- a/api/core/app/task_pipeline/workflow_cycle_manage.py +++ b/api/core/app/task_pipeline/workflow_cycle_manage.py @@ -340,7 +340,7 @@ def _handle_workflow_node_execution_failed( WorkflowNodeExecution.status: WorkflowNodeExecutionStatus.FAILED.value, WorkflowNodeExecution.error: event.error, WorkflowNodeExecution.inputs: json.dumps(inputs) if inputs else None, - WorkflowNodeExecution.process_data: json.dumps(event.process_data) if event.process_data else None, + WorkflowNodeExecution.process_data: json.dumps(process_data) if process_data else None, WorkflowNodeExecution.outputs: json.dumps(outputs) if outputs else None, WorkflowNodeExecution.finished_at: finished_at, WorkflowNodeExecution.elapsed_time: elapsed_time, diff --git a/api/core/file/__init__.py b/api/core/file/__init__.py index fe9e52258ac046..44749ebec3567e 100644 --- a/api/core/file/__init__.py +++ b/api/core/file/__init__.py @@ -7,13 +7,13 @@ ) __all__ = [ + "FILE_MODEL_IDENTITY", + "ArrayFileAttribute", + "File", + "FileAttribute", + "FileBelongsTo", + "FileTransferMethod", "FileType", "FileUploadConfig", - "FileTransferMethod", - "FileBelongsTo", - "File", "ImageConfig", - "FileAttribute", - "ArrayFileAttribute", - "FILE_MODEL_IDENTITY", ] diff --git a/api/core/helper/ssrf_proxy.py b/api/core/helper/ssrf_proxy.py index 80f01fa12b3544..566293d1250402 100644 --- a/api/core/helper/ssrf_proxy.py +++ b/api/core/helper/ssrf_proxy.py @@ -53,8 +53,6 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs): response = client.request(method=method, url=url, **kwargs) if response.status_code not in STATUS_FORCELIST: - if stream: - return response.iter_bytes() return response else: logging.warning(f"Received status code {response.status_code} for URL {url} which is in the force list") diff --git a/api/core/model_runtime/docs/zh_Hans/interfaces.md b/api/core/model_runtime/docs/zh_Hans/interfaces.md index 78086cc328a10f..6022c1cbeb0d08 100644 --- a/api/core/model_runtime/docs/zh_Hans/interfaces.md +++ b/api/core/model_runtime/docs/zh_Hans/interfaces.md @@ -91,7 +91,7 @@ class XinferenceProvider(Provider): """ ``` - 也可以直接抛出对应Erros,并做如下定义,这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。 + 也可以直接抛出对应 Errors,并做如下定义,这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。 ```python @property diff --git a/api/core/model_runtime/entities/__init__.py b/api/core/model_runtime/entities/__init__.py index 5e52f10b4c6ee2..1c73755cffd62e 100644 --- a/api/core/model_runtime/entities/__init__.py +++ b/api/core/model_runtime/entities/__init__.py @@ -18,25 +18,25 @@ from .model_entities import ModelPropertyKey __all__ = [ + "AssistantPromptMessage", + "AudioPromptMessageContent", + "DocumentPromptMessageContent", "ImagePromptMessageContent", - "VideoPromptMessageContent", - "PromptMessage", - "PromptMessageRole", + "LLMResult", + "LLMResultChunk", + "LLMResultChunkDelta", "LLMUsage", "ModelPropertyKey", - "AssistantPromptMessage", + "PromptMessage", "PromptMessage", "PromptMessageContent", + "PromptMessageContentType", "PromptMessageRole", + "PromptMessageRole", + "PromptMessageTool", "SystemPromptMessage", "TextPromptMessageContent", - "UserPromptMessage", - "PromptMessageTool", "ToolPromptMessage", - "PromptMessageContentType", - "LLMResult", - "LLMResultChunk", - "LLMResultChunkDelta", - "AudioPromptMessageContent", - "DocumentPromptMessageContent", + "UserPromptMessage", + "VideoPromptMessageContent", ] diff --git a/api/core/model_runtime/model_providers/anthropic/llm/llm.py b/api/core/model_runtime/model_providers/anthropic/llm/llm.py index b24324708b0067..3faf5abbe87f58 100644 --- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py +++ b/api/core/model_runtime/model_providers/anthropic/llm/llm.py @@ -483,6 +483,10 @@ def _convert_prompt_messages(self, prompt_messages: Sequence[PromptMessage]) -> if isinstance(message, UserPromptMessage): message = cast(UserPromptMessage, message) if isinstance(message.content, str): + # handle empty user prompt see #10013 #10520 + # responses, ignore user prompts containing only whitespace, the Claude API can't handle it. + if not message.content.strip(): + continue message_dict = {"role": "user", "content": message.content} prompt_message_dicts.append(message_dict) else: diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml index 952f968b9d0f2f..99013a95d22384 100644 --- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml +++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml @@ -16,6 +16,7 @@ help: supported_model_types: - llm - text-embedding + - rerank configurate_methods: - predefined-model provider_credential_schema: diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml new file mode 100644 index 00000000000000..41a7f96d80c7fc --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml @@ -0,0 +1,53 @@ +model: amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml new file mode 100644 index 00000000000000..4ba8da660b2958 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml new file mode 100644 index 00000000000000..53cf560610f00a --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml @@ -0,0 +1,53 @@ +model: amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/llm.py b/api/core/model_runtime/model_providers/bedrock/llm/llm.py index ef4dfaf6f17350..e6e8a765ee9e05 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py +++ b/api/core/model_runtime/model_providers/bedrock/llm/llm.py @@ -70,6 +70,8 @@ class BedrockLargeLanguageModel(LargeLanguageModel): {"prefix": "cohere.command-r", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "amazon.titan", "support_system_prompts": False, "support_tool_use": False}, {"prefix": "ai21.jamba-1-5", "support_system_prompts": True, "support_tool_use": False}, + {"prefix": "amazon.nova", "support_system_prompts": True, "support_tool_use": False}, + {"prefix": "us.amazon.nova", "support_system_prompts": True, "support_tool_use": False}, ] @staticmethod @@ -194,6 +196,13 @@ def _generate_with_converse( if model_info["support_tool_use"] and tools: parameters["toolConfig"] = self._convert_converse_tool_config(tools=tools) try: + # for issue #10976 + conversations_list = parameters["messages"] + # if two consecutive user messages found, combine them into one message + for i in range(len(conversations_list) - 2, -1, -1): + if conversations_list[i]["role"] == conversations_list[i + 1]["role"]: + conversations_list[i]["content"].extend(conversations_list.pop(i + 1)["content"]) + if stream: response = bedrock_client.converse_stream(**parameters) return self._handle_converse_stream_response( diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml new file mode 100644 index 00000000000000..522353489d7e20 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml @@ -0,0 +1,53 @@ +model: us.amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml new file mode 100644 index 00000000000000..4662d0a2037b21 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: us.amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml new file mode 100644 index 00000000000000..20e9d233e1fa7c --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml @@ -0,0 +1,53 @@ +model: us.amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中,Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布,并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p,但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py b/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml new file mode 100644 index 00000000000000..6109b25786fe57 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml @@ -0,0 +1,2 @@ +- amazon.rerank-v1 +- cohere.rerank-v3-5 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml new file mode 100644 index 00000000000000..b91dc3308bed5d --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml @@ -0,0 +1,4 @@ +model: amazon.rerank-v1:0 +model_type: rerank +model_properties: + context_size: 5120 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml new file mode 100644 index 00000000000000..c250c8f0a15de3 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml @@ -0,0 +1,4 @@ +model: cohere.rerank-v3-5:0 +model_type: rerank +model_properties: + context_size: 5120 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py new file mode 100644 index 00000000000000..397f65e8c960c8 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py @@ -0,0 +1,147 @@ +from typing import Optional + +import boto3 +from botocore.config import Config + +from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.rerank_model import RerankModel + + +class BedrockRerankModel(RerankModel): + """ + Model class for Cohere rerank model. + """ + + def _invoke( + self, + model: str, + credentials: dict, + query: str, + docs: list[str], + score_threshold: Optional[float] = None, + top_n: Optional[int] = None, + user: Optional[str] = None, + ) -> RerankResult: + """ + Invoke rerank model + + :param model: model name + :param credentials: model credentials + :param query: search query + :param docs: docs for reranking + :param score_threshold: score threshold + :param top_n: top n + :param user: unique user id + :return: rerank result + """ + + if len(docs) == 0: + return RerankResult(model=model, docs=docs) + + # initialize client + client_config = Config(region_name=credentials["aws_region"]) + bedrock_runtime = boto3.client( + service_name="bedrock-agent-runtime", + config=client_config, + aws_access_key_id=credentials.get("aws_access_key_id", ""), + aws_secret_access_key=credentials.get("aws_secret_access_key"), + ) + queries = [{"type": "TEXT", "textQuery": {"text": query}}] + text_sources = [] + for text in docs: + text_sources.append( + { + "type": "INLINE", + "inlineDocumentSource": { + "type": "TEXT", + "textDocument": { + "text": text, + }, + }, + } + ) + modelId = model + region = credentials["aws_region"] + model_package_arn = f"arn:aws:bedrock:{region}::foundation-model/{modelId}" + rerankingConfiguration = { + "type": "BEDROCK_RERANKING_MODEL", + "bedrockRerankingConfiguration": { + "numberOfResults": top_n, + "modelConfiguration": { + "modelArn": model_package_arn, + }, + }, + } + response = bedrock_runtime.rerank( + queries=queries, sources=text_sources, rerankingConfiguration=rerankingConfiguration + ) + + rerank_documents = [] + for idx, result in enumerate(response["results"]): + # format document + index = result["index"] + rerank_document = RerankDocument( + index=index, + text=docs[index], + score=result["relevanceScore"], + ) + + # score threshold check + if score_threshold is not None: + if rerank_document.score >= score_threshold: + rerank_documents.append(rerank_document) + else: + rerank_documents.append(rerank_document) + + return RerankResult(model=model, docs=rerank_documents) + + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + + :param model: model name + :param credentials: model credentials + :return: + """ + try: + self.invoke( + model=model, + credentials=credentials, + query="What is the capital of the United States?", + docs=[ + "Carson City is the capital city of the American state of Nevada. At the 2010 United States " + "Census, Carson City had a population of 55,274.", + "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " + "are a political division controlled by the United States. Its capital is Saipan.", + ], + score_threshold=0.8, + ) + except Exception as ex: + raise CredentialsValidateFailedError(str(ex)) + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller + The value is the md = genai.GenerativeModel(model) error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke emd = genai.GenerativeModel(model) error mapping + """ + return { + InvokeConnectionError: [], + InvokeServerUnavailableError: [], + InvokeRateLimitError: [], + InvokeAuthorizationError: [], + InvokeBadRequestError: [], + } diff --git a/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml b/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml index 4dd58fc1708b0a..2f6f80ab74ad2f 100644 --- a/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml +++ b/api/core/model_runtime/model_providers/cohere/rerank/_position.yaml @@ -2,3 +2,4 @@ - rerank-english-v3.0 - rerank-multilingual-v2.0 - rerank-multilingual-v3.0 +- rerank-v3.5 diff --git a/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml b/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml new file mode 100644 index 00000000000000..5de71fb9892dce --- /dev/null +++ b/api/core/model_runtime/model_providers/cohere/rerank/rerank-v3.5.yaml @@ -0,0 +1,4 @@ +model: rerank-v3.5 +model_type: rerank +model_properties: + context_size: 5120 diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml new file mode 100644 index 00000000000000..1743d8b9687421 --- /dev/null +++ b/api/core/model_runtime/model_providers/google/llm/gemini-exp-1206.yaml @@ -0,0 +1,38 @@ +model: gemini-exp-1206 +label: + en_US: Gemini exp 1206 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/api/core/model_runtime/model_providers/moonshot/llm/llm.py b/api/core/model_runtime/model_providers/moonshot/llm/llm.py index 5c955c86d3a3e2..90d015942ebb26 100644 --- a/api/core/model_runtime/model_providers/moonshot/llm/llm.py +++ b/api/core/model_runtime/model_providers/moonshot/llm/llm.py @@ -252,7 +252,7 @@ def get_tool_call(tool_name: str): # ignore sse comments if chunk.startswith(":"): continue - decoded_chunk = chunk.strip().lstrip("data: ").lstrip() + decoded_chunk = chunk.strip().removeprefix("data: ") chunk_json = None try: chunk_json = json.loads(decoded_chunk) diff --git a/api/core/model_runtime/model_providers/ollama/llm/llm.py b/api/core/model_runtime/model_providers/ollama/llm/llm.py index 094a6746454f4d..3ae728d4b36985 100644 --- a/api/core/model_runtime/model_providers/ollama/llm/llm.py +++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py @@ -181,9 +181,11 @@ def _generate( # prepare the payload for a simple ping to the model data = {"model": model, "stream": stream} - if "format" in model_parameters: - data["format"] = model_parameters["format"] - del model_parameters["format"] + if format_schema := model_parameters.pop("format", None): + try: + data["format"] = format_schema if format_schema == "json" else json.loads(format_schema) + except json.JSONDecodeError as e: + raise InvokeBadRequestError(f"Invalid format schema: {str(e)}") if "keep_alive" in model_parameters: data["keep_alive"] = model_parameters["keep_alive"] @@ -733,12 +735,12 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode ParameterRule( name="format", label=I18nObject(en_US="Format", zh_Hans="返回格式"), - type=ParameterType.STRING, + type=ParameterType.TEXT, + default="json", help=I18nObject( - en_US="the format to return a response in. Currently the only accepted value is json.", - zh_Hans="返回响应的格式。目前唯一接受的值是json。", + en_US="the format to return a response in. Format can be `json` or a JSON schema.", + zh_Hans="返回响应的格式。目前接受的值是字符串`json`或JSON schema.", ), - options=["json"], ), ], pricing=PriceConfig( diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py index e1342fe985ac13..26c090d30efd1f 100644 --- a/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py +++ b/api/core/model_runtime/model_providers/openai_api_compatible/llm/llm.py @@ -462,7 +462,7 @@ def get_tool_call(tool_call_id: str): # ignore sse comments if chunk.startswith(":"): continue - decoded_chunk = chunk.strip().lstrip("data: ").lstrip() + decoded_chunk = chunk.strip().removeprefix("data: ") if decoded_chunk == "[DONE]": # Some provider returns "data: [DONE]" continue diff --git a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py index 793c384d5a8079..9da8f55d0a7ed9 100644 --- a/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/openai_api_compatible/text_embedding/text_embedding.py @@ -139,13 +139,17 @@ def validate_credentials(self, model: str, credentials: dict) -> None: if api_key: headers["Authorization"] = f"Bearer {api_key}" - endpoint_url = credentials.get("endpoint_url") + endpoint_url = credentials.get("endpoint_url", "") if not endpoint_url.endswith("/"): endpoint_url += "/" endpoint_url = urljoin(endpoint_url, "embeddings") payload = {"input": "ping", "model": model} + # For nvidia models, the "input_type":"query" need in the payload + # more to check issue #11193 or NvidiaTextEmbeddingModel + if model.startswith("nvidia/"): + payload["input_type"] = "query" response = requests.post(url=endpoint_url, headers=headers, data=json.dumps(payload), timeout=(10, 300)) diff --git a/api/core/model_runtime/model_providers/stepfun/llm/llm.py b/api/core/model_runtime/model_providers/stepfun/llm/llm.py index 43b91a1aec9c57..686809ff2be64d 100644 --- a/api/core/model_runtime/model_providers/stepfun/llm/llm.py +++ b/api/core/model_runtime/model_providers/stepfun/llm/llm.py @@ -250,7 +250,7 @@ def get_tool_call(tool_name: str): # ignore sse comments if chunk.startswith(":"): continue - decoded_chunk = chunk.strip().lstrip("data: ").lstrip() + decoded_chunk = chunk.strip().removeprefix("data: ") chunk_json = None try: chunk_json = json.loads(decoded_chunk) diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py index 1469de605525ef..934195cc3d6fa2 100644 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py +++ b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py @@ -104,13 +104,14 @@ def _generate_anthropic( """ # use Anthropic official SDK references # - https://github.com/anthropics/anthropic-sdk-python - service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"])) + service_account_key = credentials.get("vertex_service_account_key", "") project_id = credentials["vertex_project_id"] SCOPES = ["https://www.googleapis.com/auth/cloud-platform"] token = "" # get access token from service account credential - if service_account_info: + if service_account_key: + service_account_info = json.loads(base64.b64decode(service_account_key)) credentials = service_account.Credentials.from_service_account_info(service_account_info, scopes=SCOPES) request = google.auth.transport.requests.Request() credentials.refresh(request) @@ -478,10 +479,11 @@ def _generate( if stop: config_kwargs["stop_sequences"] = stop - service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"])) + service_account_key = credentials.get("vertex_service_account_key", "") project_id = credentials["vertex_project_id"] location = credentials["vertex_location"] - if service_account_info: + if service_account_key: + service_account_info = json.loads(base64.b64decode(service_account_key)) service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) aiplatform.init(credentials=service_accountSA, project=project_id, location=location) else: diff --git a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py index 9cd0c78d99df24..eb54941e086752 100644 --- a/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/vertex_ai/text_embedding/text_embedding.py @@ -48,10 +48,11 @@ def _invoke( :param input_type: input type :return: embeddings result """ - service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"])) + service_account_key = credentials.get("vertex_service_account_key", "") project_id = credentials["vertex_project_id"] location = credentials["vertex_location"] - if service_account_info: + if service_account_key: + service_account_info = json.loads(base64.b64decode(service_account_key)) service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) aiplatform.init(credentials=service_accountSA, project=project_id, location=location) else: @@ -100,10 +101,11 @@ def validate_credentials(self, model: str, credentials: dict) -> None: :return: """ try: - service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"])) + service_account_key = credentials.get("vertex_service_account_key", "") project_id = credentials["vertex_project_id"] location = credentials["vertex_location"] - if service_account_info: + if service_account_key: + service_account_info = json.loads(base64.b64decode(service_account_key)) service_accountSA = service_account.Credentials.from_service_account_info(service_account_info) aiplatform.init(credentials=service_accountSA, project=project_id, location=location) else: diff --git a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py index 8b3eb157be5cfe..2a269557f28828 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/legacy/volc_sdk/__init__.py @@ -1,4 +1,4 @@ from .common import ChatRole from .maas import MaasError, MaasService -__all__ = ["MaasService", "ChatRole", "MaasError"] +__all__ = ["ChatRole", "MaasError", "MaasService"] diff --git a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py b/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py index 9e6a7dd99e10a5..1c7b9490185337 100644 --- a/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py +++ b/api/core/model_runtime/model_providers/wenxin/rerank/rerank.py @@ -17,7 +17,13 @@ class WenxinRerank(_CommonWenxin): def rerank(self, model: str, query: str, docs: list[str], top_n: Optional[int] = None): access_token = self._get_access_token() url = f"{self.api_bases[model]}?access_token={access_token}" - + # For issue #11252 + # for wenxin Rerank model top_n length should be equal or less than docs length + if top_n is not None and top_n > len(docs): + top_n = len(docs) + # for wenxin Rerank model, query should not be an empty string + if query == "": + query = " " # FIXME: this is a workaround for wenxin rerank model for better user experience. try: response = httpx.post( url, @@ -25,7 +31,11 @@ def rerank(self, model: str, query: str, docs: list[str], top_n: Optional[int] = headers={"Content-Type": "application/json"}, ) response.raise_for_status() - return response.json() + data = response.json() + # wenxin error handling + if "error_code" in data: + raise InternalServerError(data["error_msg"]) + return data except httpx.HTTPStatusError as e: raise InternalServerError(str(e)) @@ -69,6 +79,9 @@ def _invoke( results = wenxin_rerank.rerank(model, query, docs, top_n) rerank_documents = [] + if "results" not in results: + raise ValueError("results key not found in response") + for result in results["results"]: index = result["index"] if "document" in result: diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml index 7c8da51d1b82ff..035d9881ebcaa7 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml index 7a7b4b0892785e..c3ee76141d9a57 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml index 09ad842801eb9d..1926db7ac384aa 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 8192 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml index aee82a0602a995..e54b5de4a12032 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml index 40ff7609c7a2e2..724fe48909b1fb 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml index 791a77ba157cf7..fa5b1e1fe9d7cf 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml index 13ed1e49c99a2a..e1eb13df3db438 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml index badcee22db77b1..c0c4e04d378e43 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml @@ -8,7 +8,7 @@ features: - stream-tool-call model_properties: mode: chat - context_size: 10240 + context_size: 1048576 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml index e2f785e1bc4383..c4f26f8ba93130 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml index 3baa298300a8e1..0d99f89cb80d00 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml @@ -4,6 +4,7 @@ label: model_type: llm model_properties: mode: chat + context_size: 2048 features: - vision parameter_rules: diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml new file mode 100644 index 00000000000000..c2047b2cd32b83 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_flash.yaml @@ -0,0 +1,52 @@ +model: glm-4v-flash +label: + en_US: glm-4v-flash +model_type: llm +model_properties: + mode: chat + context_size: 2048 +features: + - vision +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度,控制输出的随机性,必须为正数取值范围是:(0.0,1.0],不能等于 0,默认值为 0.95 值越大,会使输出更随机,更具创造性;值越小,输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数,但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.6 + help: + zh_Hans: 用温度取样的另一种方法,称为核取样取值范围是:(0.0, 1.0) 开区间,不能等于 0 或 1,默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如:0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数,但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 1024 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务,该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索,模型会将搜索结果作为文本生成过程中的参考信息,但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml index dbda18b8888feb..5cd0e16b0eef7b 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml @@ -4,6 +4,7 @@ label: model_type: llm model_properties: mode: chat + context_size: 8192 features: - vision - video diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py index eddb94aba35a93..59861507e45cd6 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py @@ -22,18 +22,6 @@ from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI from core.model_runtime.utils import helper -GLM_JSON_MODE_PROMPT = """You should always follow the instructions and output a valid JSON object. -The structure of the JSON object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - -And you should always end the block with a "```" to indicate the end of the JSON object. - - -{{instructions}} - - -```JSON""" # noqa: E501 - class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): def _invoke( @@ -64,42 +52,8 @@ def _invoke( credentials_kwargs = self._to_credential_kwargs(credentials) # invoke model - # stop = stop or [] - # self._transform_json_prompts(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) return self._generate(model, credentials_kwargs, prompt_messages, model_parameters, tools, stop, stream, user) - # def _transform_json_prompts(self, model: str, credentials: dict, - # prompt_messages: list[PromptMessage], model_parameters: dict, - # tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, - # stream: bool = True, user: str | None = None) \ - # -> None: - # """ - # Transform json prompts to model prompts - # """ - # if "}\n\n" not in stop: - # stop.append("}\n\n") - - # # check if there is a system message - # if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - # # override the system message - # prompt_messages[0] = SystemPromptMessage( - # content=GLM_JSON_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content) - # ) - # else: - # # insert the system message - # prompt_messages.insert(0, SystemPromptMessage( - # content=GLM_JSON_MODE_PROMPT.replace("{{instructions}}", "Please output a valid JSON object.") - # )) - # # check if the last message is a user message - # if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage): - # # add ```JSON\n to the last message - # prompt_messages[-1].content += "\n```JSON\n" - # else: - # # append a user message - # prompt_messages.append(UserPromptMessage( - # content="```JSON\n" - # )) - def get_num_tokens( self, model: str, @@ -170,7 +124,7 @@ def _generate( :return: full response or stream response chunk generator result """ extra_model_kwargs = {} - # request to glm-4v-plus with stop words will always response "finish_reason":"network_error" + # request to glm-4v-plus with stop words will always respond "finish_reason":"network_error" if stop and model != "glm-4v-plus": extra_model_kwargs["stop"] = stop @@ -186,11 +140,11 @@ def _generate( # resolve zhipuai model not support system message and user message, assistant message must be in sequence new_prompt_messages: list[PromptMessage] = [] for prompt_message in prompt_messages: - copy_prompt_message = prompt_message.copy() + copy_prompt_message = prompt_message.model_copy() if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.SYSTEM, PromptMessageRole.TOOL}: if isinstance(copy_prompt_message.content, list): # check if model is 'glm-4v' - if model not in {"glm-4v", "glm-4v-plus"}: + if not model.startswith("glm-4v"): # not support list message continue # get image and @@ -234,63 +188,42 @@ def _generate( else: model_parameters["tools"] = [web_search_params] - if model in {"glm-4v", "glm-4v-plus"}: + if model.startswith("glm-4v"): params = self._construct_glm_4v_parameter(model, new_prompt_messages, model_parameters) else: params = {"model": model, "messages": [], **model_parameters} - # glm model - if not model.startswith("chatglm"): - for prompt_message in new_prompt_messages: - if prompt_message.role == PromptMessageRole.TOOL: + for prompt_message in new_prompt_messages: + if prompt_message.role == PromptMessageRole.TOOL: + params["messages"].append( + { + "role": "tool", + "content": prompt_message.content, + "tool_call_id": prompt_message.tool_call_id, + } + ) + elif isinstance(prompt_message, AssistantPromptMessage): + if prompt_message.tool_calls: params["messages"].append( { - "role": "tool", + "role": "assistant", "content": prompt_message.content, - "tool_call_id": prompt_message.tool_call_id, + "tool_calls": [ + { + "id": tool_call.id, + "type": tool_call.type, + "function": { + "name": tool_call.function.name, + "arguments": tool_call.function.arguments, + }, + } + for tool_call in prompt_message.tool_calls + ], } ) - elif isinstance(prompt_message, AssistantPromptMessage): - if prompt_message.tool_calls: - params["messages"].append( - { - "role": "assistant", - "content": prompt_message.content, - "tool_calls": [ - { - "id": tool_call.id, - "type": tool_call.type, - "function": { - "name": tool_call.function.name, - "arguments": tool_call.function.arguments, - }, - } - for tool_call in prompt_message.tool_calls - ], - } - ) - else: - params["messages"].append({"role": "assistant", "content": prompt_message.content}) else: - params["messages"].append( - {"role": prompt_message.role.value, "content": prompt_message.content} - ) - else: - # chatglm model - for prompt_message in new_prompt_messages: - # merge system message to user message - if prompt_message.role in { - PromptMessageRole.SYSTEM, - PromptMessageRole.TOOL, - PromptMessageRole.USER, - }: - if len(params["messages"]) > 0 and params["messages"][-1]["role"] == "user": - params["messages"][-1]["content"] += "\n\n" + prompt_message.content - else: - params["messages"].append({"role": "user", "content": prompt_message.content}) - else: - params["messages"].append( - {"role": prompt_message.role.value, "content": prompt_message.content} - ) + params["messages"].append({"role": "assistant", "content": prompt_message.content}) + else: + params["messages"].append({"role": prompt_message.role.value, "content": prompt_message.content}) if tools and len(tools) > 0: params["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools] @@ -406,7 +339,7 @@ def _handle_generate_stream_response( Handle llm stream response :param model: model name - :param response: response + :param responses: response :param prompt_messages: prompt messages :return: llm response chunk generator result """ @@ -479,6 +412,8 @@ def _convert_one_message_to_text(self, message: PromptMessage) -> str: human_prompt = "\n\nHuman:" ai_prompt = "\n\nAssistant:" content = message.content + if isinstance(content, list): + content = "".join(c.data for c in content if c.type == PromptMessageContentType.TEXT) if isinstance(message, UserPromptMessage): message_text = f"{human_prompt} {content}" @@ -505,7 +440,7 @@ def _convert_messages_to_prompt( if tools and len(tools) > 0: text += "\n\nTools:" for tool in tools: - text += f"\n{tool.json()}" + text += f"\n{tool.model_dump_json()}" # trim off the trailing ' ' that might come from the "Assistant: " return text.rstrip() diff --git a/api/core/prompt/prompt_templates/advanced_prompt_templates.py b/api/core/prompt/prompt_templates/advanced_prompt_templates.py index 0ab7f526cc4fee..e55966eeee8bbd 100644 --- a/api/core/prompt/prompt_templates/advanced_prompt_templates.py +++ b/api/core/prompt/prompt_templates/advanced_prompt_templates.py @@ -5,7 +5,7 @@ CHAT_APP_COMPLETION_PROMPT_CONFIG = { "completion_prompt_config": { "prompt": { - "text": "{{#pre_prompt#}}\nHere is the chat histories between human and assistant, inside XML tags.\n\n\n{{#histories#}}\n\n\n\nHuman: {{#query#}}\n\nAssistant: " # noqa: E501 + "text": "{{#pre_prompt#}}\nHere are the chat histories between human and assistant, inside XML tags.\n\n\n{{#histories#}}\n\n\n\nHuman: {{#query#}}\n\nAssistant: " # noqa: E501 }, "conversation_histories_role": {"user_prefix": "Human", "assistant_prefix": "Assistant"}, }, diff --git a/api/core/prompt/utils/get_thread_messages_length.py b/api/core/prompt/utils/get_thread_messages_length.py new file mode 100644 index 00000000000000..f49466db6d92f8 --- /dev/null +++ b/api/core/prompt/utils/get_thread_messages_length.py @@ -0,0 +1,32 @@ +from core.prompt.utils.extract_thread_messages import extract_thread_messages +from extensions.ext_database import db +from models.model import Message + + +def get_thread_messages_length(conversation_id: str) -> int: + """ + Get the number of thread messages based on the parent message id. + """ + # Fetch all messages related to the conversation + query = ( + db.session.query( + Message.id, + Message.parent_message_id, + Message.answer, + ) + .filter( + Message.conversation_id == conversation_id, + ) + .order_by(Message.created_at.desc()) + ) + + messages = query.all() + + # Extract thread messages + thread_messages = extract_thread_messages(messages) + + # Exclude the newly created message with an empty answer + if thread_messages and not thread_messages[0].answer: + thread_messages.pop(0) + + return len(thread_messages) diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py index 759166da4c4be8..b2141396d6dcc4 100644 --- a/api/core/rag/datasource/retrieval_service.py +++ b/api/core/rag/datasource/retrieval_service.py @@ -3,7 +3,6 @@ from flask import Flask, current_app -from configs import DifyConfig from core.rag.data_post_processor.data_post_processor import DataPostProcessor from core.rag.datasource.keyword.keyword_factory import Keyword from core.rag.datasource.vdb.vector_factory import Vector @@ -114,7 +113,7 @@ def retrieve( query=query, documents=all_documents, score_threshold=score_threshold, - top_n=DifyConfig.RETRIEVAL_TOP_N or top_k, + top_n=top_k, ) return all_documents @@ -186,7 +185,7 @@ def embedding_search( query=query, documents=documents, score_threshold=score_threshold, - top_n=DifyConfig.RETRIEVAL_TOP_N or len(documents), + top_n=len(documents), ) ) else: @@ -231,7 +230,7 @@ def full_text_index_search( query=query, documents=documents, score_threshold=score_threshold, - top_n=DifyConfig.RETRIEVAL_TOP_N or len(documents), + top_n=len(documents), ) ) else: diff --git a/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py b/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py index 8dd26a073b27c2..c44338d42a591a 100644 --- a/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py +++ b/api/core/rag/datasource/vdb/oceanbase/oceanbase_vector.py @@ -104,8 +104,7 @@ def _create_collection(self) -> None: val = int(row[6]) vals.append(val) if len(vals) == 0: - print("ob_vector_memory_limit_percentage not found in parameters.") - exit(1) + raise ValueError("ob_vector_memory_limit_percentage not found in parameters.") if any(val == 0 for val in vals): try: self._client.perform_raw_text_sql("ALTER SYSTEM SET ob_vector_memory_limit_percentage = 30") @@ -200,10 +199,10 @@ def init_vector( return OceanBaseVector( collection_name, OceanBaseVectorConfig( - host=dify_config.OCEANBASE_VECTOR_HOST, - port=dify_config.OCEANBASE_VECTOR_PORT, - user=dify_config.OCEANBASE_VECTOR_USER, + host=dify_config.OCEANBASE_VECTOR_HOST or "", + port=dify_config.OCEANBASE_VECTOR_PORT or 0, + user=dify_config.OCEANBASE_VECTOR_USER or "", password=(dify_config.OCEANBASE_VECTOR_PASSWORD or ""), - database=dify_config.OCEANBASE_VECTOR_DATABASE, + database=dify_config.OCEANBASE_VECTOR_DATABASE or "", ), ) diff --git a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py index a38f84636e9135..cfd47aac5ba05b 100644 --- a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py +++ b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py @@ -375,7 +375,6 @@ def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: for result in results: if result: document = self._document_from_scored_point(result, Field.CONTENT_KEY.value, Field.METADATA_KEY.value) - document.metadata["vector"] = result.vector documents.append(document) return documents @@ -394,6 +393,7 @@ def _document_from_scored_point( ) -> Document: return Document( page_content=scored_point.payload.get(content_payload_key), + vector=scored_point.vector, metadata=scored_point.payload.get(metadata_payload_key) or {}, ) diff --git a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py index a6f3ad7fef0c45..8dd5922ad0171d 100644 --- a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py +++ b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_service.py @@ -162,7 +162,7 @@ def batch_update_tidb_serverless_cluster_status( clusters = [] tidb_serverless_list_map = {item.cluster_id: item for item in tidb_serverless_list} cluster_ids = [item.cluster_id for item in tidb_serverless_list] - params = {"clusterIds": cluster_ids, "view": "FULL"} + params = {"clusterIds": cluster_ids, "view": "BASIC"} response = requests.get( f"{api_url}/clusters:batchGet", params=params, auth=HTTPDigestAuth(public_key, private_key) ) diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index b23da1113e6ea8..0c38a9c0762130 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -86,7 +86,7 @@ def _extract_images_from_docx(self, doc, image_folder): image_count += 1 if rel.is_external: url = rel.reltype - response = ssrf_proxy.get(url, stream=True) + response = ssrf_proxy.get(url) if response.status_code == 200: image_ext = mimetypes.guess_extension(response.headers["Content-Type"]) file_uuid = str(uuid.uuid4()) diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml index 4c886b69c03a32..81adb3db7d932d 100644 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml +++ b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml @@ -6,9 +6,9 @@ identity: zh_Hans: GitLab 合并请求查询 description: human: - en_US: A tool for query GitLab merge requests, Input should be a exists reposity or branch. + en_US: A tool for query GitLab merge requests, Input should be a exists repository or branch. zh_Hans: 一个用于查询 GitLab 代码合并请求的工具,输入的内容应该是一个已存在的仓库名或者分支。 - llm: A tool for query GitLab merge requests, Input should be a exists reposity or branch. + llm: A tool for query GitLab merge requests, Input should be a exists repository or branch. parameters: - name: repository type: string diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py index 9dc5bed824d715..9b24be7cab81eb 100644 --- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py +++ b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py @@ -61,7 +61,7 @@ def _invoke( params["input"] = query else: finished = True - if "souces" in response_data["queryresult"]: + if "sources" in response_data["queryresult"]: return self.create_link_message(response_data["queryresult"]["sources"]["url"]) elif "pods" in response_data["queryresult"]: result = response_data["queryresult"]["pods"][0]["subpods"][0]["plaintext"] diff --git a/api/core/tools/tool/workflow_tool.py b/api/core/tools/tool/workflow_tool.py index 721fa06c543e86..33b4ad021a5e7f 100644 --- a/api/core/tools/tool/workflow_tool.py +++ b/api/core/tools/tool/workflow_tool.py @@ -58,11 +58,11 @@ def _invoke( user=self._get_user(user_id), args={"inputs": tool_parameters, "files": files}, invoke_from=self.runtime.invoke_from, - stream=False, + streaming=False, call_depth=self.workflow_call_depth + 1, workflow_thread_pool_id=self.thread_pool_id, ) - + assert isinstance(result, dict) data = result.get("data", {}) if data.get("error"): diff --git a/api/core/variables/__init__.py b/api/core/variables/__init__.py index 144c1b899fb397..2b1a58f93aa3c6 100644 --- a/api/core/variables/__init__.py +++ b/api/core/variables/__init__.py @@ -32,32 +32,32 @@ ) __all__ = [ - "IntegerVariable", - "FloatVariable", - "ObjectVariable", - "SecretVariable", - "StringVariable", - "ArrayAnyVariable", - "Variable", - "SegmentType", - "SegmentGroup", - "Segment", - "NoneSegment", - "NoneVariable", - "IntegerSegment", - "FloatSegment", - "ObjectSegment", "ArrayAnySegment", - "StringSegment", - "ArrayStringVariable", - "ArrayNumberVariable", - "ArrayObjectVariable", - "ArraySegment", + "ArrayAnyVariable", "ArrayFileSegment", + "ArrayFileVariable", "ArrayNumberSegment", + "ArrayNumberVariable", "ArrayObjectSegment", + "ArrayObjectVariable", + "ArraySegment", "ArrayStringSegment", + "ArrayStringVariable", "FileSegment", "FileVariable", - "ArrayFileVariable", + "FloatSegment", + "FloatVariable", + "IntegerSegment", + "IntegerVariable", + "NoneSegment", + "NoneVariable", + "ObjectSegment", + "ObjectVariable", + "SecretVariable", + "Segment", + "SegmentGroup", + "SegmentType", + "StringSegment", + "StringVariable", + "Variable", ] diff --git a/api/core/variables/types.py b/api/core/variables/types.py index af6a2a29370846..4387e9693eb072 100644 --- a/api/core/variables/types.py +++ b/api/core/variables/types.py @@ -2,16 +2,19 @@ class SegmentType(StrEnum): - NONE = "none" NUMBER = "number" STRING = "string" + OBJECT = "object" SECRET = "secret" + + FILE = "file" + ARRAY_ANY = "array[any]" ARRAY_STRING = "array[string]" ARRAY_NUMBER = "array[number]" ARRAY_OBJECT = "array[object]" - OBJECT = "object" - FILE = "file" ARRAY_FILE = "array[file]" + NONE = "none" + GROUP = "group" diff --git a/api/core/workflow/callbacks/__init__.py b/api/core/workflow/callbacks/__init__.py index 403fbbaa2fa616..fba86c1e2eb2ea 100644 --- a/api/core/workflow/callbacks/__init__.py +++ b/api/core/workflow/callbacks/__init__.py @@ -2,6 +2,6 @@ from .workflow_logging_callback import WorkflowLoggingCallback __all__ = [ - "WorkflowLoggingCallback", "WorkflowCallback", + "WorkflowLoggingCallback", ] diff --git a/api/core/workflow/graph_engine/graph_engine.py b/api/core/workflow/graph_engine/graph_engine.py index 035c34dcf49fac..7cffd7bc8e1659 100644 --- a/api/core/workflow/graph_engine/graph_engine.py +++ b/api/core/workflow/graph_engine/graph_engine.py @@ -38,7 +38,7 @@ from core.workflow.nodes.base import BaseNode from core.workflow.nodes.end.end_stream_processor import EndStreamProcessor from core.workflow.nodes.event import RunCompletedEvent, RunRetrieverResourceEvent, RunStreamChunkEvent -from core.workflow.nodes.node_mapping import node_type_classes_mapping +from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING from extensions.ext_database import db from models.enums import UserFrom from models.workflow import WorkflowNodeExecutionStatus, WorkflowType @@ -227,7 +227,8 @@ def _run( # convert to specific node node_type = NodeType(node_config.get("data", {}).get("type")) - node_cls = node_type_classes_mapping[node_type] + node_version = node_config.get("data", {}).get("version", "1") + node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version] previous_node_id = previous_route_node_state.node_id if previous_route_node_state else None diff --git a/api/core/workflow/nodes/answer/__init__.py b/api/core/workflow/nodes/answer/__init__.py index 7a10f47eed2d9c..ee7676c7e48418 100644 --- a/api/core/workflow/nodes/answer/__init__.py +++ b/api/core/workflow/nodes/answer/__init__.py @@ -1,4 +1,4 @@ from .answer_node import AnswerNode from .entities import AnswerStreamGenerateRoute -__all__ = ["AnswerStreamGenerateRoute", "AnswerNode"] +__all__ = ["AnswerNode", "AnswerStreamGenerateRoute"] diff --git a/api/core/workflow/nodes/answer/answer_stream_generate_router.py b/api/core/workflow/nodes/answer/answer_stream_generate_router.py index 96e24a7db3725e..8c78016f09a334 100644 --- a/api/core/workflow/nodes/answer/answer_stream_generate_router.py +++ b/api/core/workflow/nodes/answer/answer_stream_generate_router.py @@ -153,7 +153,7 @@ def _recursive_fetch_answer_dependencies( NodeType.IF_ELSE, NodeType.QUESTION_CLASSIFIER, NodeType.ITERATION, - NodeType.CONVERSATION_VARIABLE_ASSIGNER, + NodeType.VARIABLE_ASSIGNER, }: answer_dependencies[answer_node_id].append(source_node_id) else: diff --git a/api/core/workflow/nodes/base/__init__.py b/api/core/workflow/nodes/base/__init__.py index 61f727740c87db..72d6392d4e01ea 100644 --- a/api/core/workflow/nodes/base/__init__.py +++ b/api/core/workflow/nodes/base/__init__.py @@ -1,4 +1,4 @@ from .entities import BaseIterationNodeData, BaseIterationState, BaseNodeData from .node import BaseNode -__all__ = ["BaseNode", "BaseNodeData", "BaseIterationNodeData", "BaseIterationState"] +__all__ = ["BaseIterationNodeData", "BaseIterationState", "BaseNode", "BaseNodeData"] diff --git a/api/core/workflow/nodes/base/entities.py b/api/core/workflow/nodes/base/entities.py index 2a864dd7a84c8b..fb50fbd6e863fa 100644 --- a/api/core/workflow/nodes/base/entities.py +++ b/api/core/workflow/nodes/base/entities.py @@ -7,6 +7,7 @@ class BaseNodeData(ABC, BaseModel): title: str desc: Optional[str] = None + version: str = "1" class BaseIterationNodeData(BaseNodeData): diff --git a/api/core/workflow/nodes/base/node.py b/api/core/workflow/nodes/base/node.py index 1871fff6181c42..d0fbed31cd1e20 100644 --- a/api/core/workflow/nodes/base/node.py +++ b/api/core/workflow/nodes/base/node.py @@ -55,7 +55,9 @@ def __init__( raise ValueError("Node ID is required.") self.node_id = node_id - self.node_data: GenericNodeData = cast(GenericNodeData, self._node_data_cls(**config.get("data", {}))) + + node_data = self._node_data_cls.model_validate(config.get("data", {})) + self.node_data = cast(GenericNodeData, node_data) @abstractmethod def _run(self) -> NodeRunResult | Generator[Union[NodeEvent, "InNodeEvent"], None, None]: diff --git a/api/core/workflow/nodes/document_extractor/node.py b/api/core/workflow/nodes/document_extractor/node.py index d490a2eb03aff9..59afe7ac87a855 100644 --- a/api/core/workflow/nodes/document_extractor/node.py +++ b/api/core/workflow/nodes/document_extractor/node.py @@ -1,6 +1,8 @@ import csv import io import json +import os +import tempfile import docx import pandas as pd @@ -264,14 +266,20 @@ def _extract_text_from_ppt(file_content: bytes) -> str: def _extract_text_from_pptx(file_content: bytes) -> str: try: - with io.BytesIO(file_content) as file: - if dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY: - elements = partition_via_api( - file=file, - api_url=dify_config.UNSTRUCTURED_API_URL, - api_key=dify_config.UNSTRUCTURED_API_KEY, - ) - else: + if dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY: + with tempfile.NamedTemporaryFile(suffix=".pptx", delete=False) as temp_file: + temp_file.write(file_content) + temp_file.flush() + with open(temp_file.name, "rb") as file: + elements = partition_via_api( + file=file, + metadata_filename=temp_file.name, + api_url=dify_config.UNSTRUCTURED_API_URL, + api_key=dify_config.UNSTRUCTURED_API_KEY, + ) + os.unlink(temp_file.name) + else: + with io.BytesIO(file_content) as file: elements = partition_pptx(file=file) return "\n".join([getattr(element, "text", "") for element in elements]) except Exception as e: diff --git a/api/core/workflow/nodes/end/__init__.py b/api/core/workflow/nodes/end/__init__.py index adb381701cecb1..c4c00e3ddc72d6 100644 --- a/api/core/workflow/nodes/end/__init__.py +++ b/api/core/workflow/nodes/end/__init__.py @@ -1,4 +1,4 @@ from .end_node import EndNode from .entities import EndStreamParam -__all__ = ["EndStreamParam", "EndNode"] +__all__ = ["EndNode", "EndStreamParam"] diff --git a/api/core/workflow/nodes/enums.py b/api/core/workflow/nodes/enums.py index 9e9e52910ebcf8..44be403ee6ab91 100644 --- a/api/core/workflow/nodes/enums.py +++ b/api/core/workflow/nodes/enums.py @@ -14,11 +14,11 @@ class NodeType(StrEnum): HTTP_REQUEST = "http-request" TOOL = "tool" VARIABLE_AGGREGATOR = "variable-aggregator" - VARIABLE_ASSIGNER = "variable-assigner" # TODO: Merge this into VARIABLE_AGGREGATOR in the database. + LEGACY_VARIABLE_AGGREGATOR = "variable-assigner" # TODO: Merge this into VARIABLE_AGGREGATOR in the database. LOOP = "loop" ITERATION = "iteration" ITERATION_START = "iteration-start" # Fake start node for iteration. PARAMETER_EXTRACTOR = "parameter-extractor" - CONVERSATION_VARIABLE_ASSIGNER = "assigner" + VARIABLE_ASSIGNER = "assigner" DOCUMENT_EXTRACTOR = "document-extractor" LIST_OPERATOR = "list-operator" diff --git a/api/core/workflow/nodes/event/__init__.py b/api/core/workflow/nodes/event/__init__.py index 581def95533544..5e3b31e48baa9e 100644 --- a/api/core/workflow/nodes/event/__init__.py +++ b/api/core/workflow/nodes/event/__init__.py @@ -2,9 +2,9 @@ from .types import NodeEvent __all__ = [ + "ModelInvokeCompletedEvent", + "NodeEvent", "RunCompletedEvent", "RunRetrieverResourceEvent", "RunStreamChunkEvent", - "NodeEvent", - "ModelInvokeCompletedEvent", ] diff --git a/api/core/workflow/nodes/http_request/__init__.py b/api/core/workflow/nodes/http_request/__init__.py index 9408c2dde0c0e9..c51c6789999832 100644 --- a/api/core/workflow/nodes/http_request/__init__.py +++ b/api/core/workflow/nodes/http_request/__init__.py @@ -1,4 +1,4 @@ from .entities import BodyData, HttpRequestNodeAuthorization, HttpRequestNodeBody, HttpRequestNodeData from .node import HttpRequestNode -__all__ = ["HttpRequestNodeData", "HttpRequestNodeAuthorization", "HttpRequestNodeBody", "BodyData", "HttpRequestNode"] +__all__ = ["BodyData", "HttpRequestNode", "HttpRequestNodeAuthorization", "HttpRequestNodeBody", "HttpRequestNodeData"] diff --git a/api/core/workflow/nodes/http_request/node.py b/api/core/workflow/nodes/http_request/node.py index b0c6e582445945..2a92a16ede84e0 100644 --- a/api/core/workflow/nodes/http_request/node.py +++ b/api/core/workflow/nodes/http_request/node.py @@ -1,11 +1,9 @@ import logging from collections.abc import Mapping, Sequence -from mimetypes import guess_extension -from os import path from typing import Any from configs import dify_config -from core.file import File, FileTransferMethod, FileType +from core.file import File, FileTransferMethod from core.tools.tool_file_manager import ToolFileManager from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_entities import VariableSelector @@ -150,11 +148,6 @@ def extract_files(self, url: str, response: Response) -> list[File]: content = response.content if is_file and content_type: - # extract filename from url - filename = path.basename(url) - # extract extension if possible - extension = guess_extension(content_type) or ".bin" - tool_file = ToolFileManager.create_file_by_raw( user_id=self.user_id, tenant_id=self.tenant_id, @@ -165,7 +158,6 @@ def extract_files(self, url: str, response: Response) -> list[File]: mapping = { "tool_file_id": tool_file.id, - "type": FileType.IMAGE.value, "transfer_method": FileTransferMethod.TOOL_FILE.value, } file = file_factory.build_from_mapping( diff --git a/api/core/workflow/nodes/if_else/if_else_node.py b/api/core/workflow/nodes/if_else/if_else_node.py index 6960fc045a5efc..a1dc0f0664a32d 100644 --- a/api/core/workflow/nodes/if_else/if_else_node.py +++ b/api/core/workflow/nodes/if_else/if_else_node.py @@ -24,7 +24,7 @@ def _run(self) -> NodeRunResult: """ node_inputs: dict[str, list] = {"conditions": []} - process_datas: dict[str, list] = {"condition_results": []} + process_data: dict[str, list] = {"condition_results": []} input_conditions = [] final_result = False @@ -40,7 +40,7 @@ def _run(self) -> NodeRunResult: operator=case.logical_operator, ) - process_datas["condition_results"].append( + process_data["condition_results"].append( { "group": case.model_dump(), "results": group_result, @@ -65,7 +65,7 @@ def _run(self) -> NodeRunResult: selected_case_id = "true" if final_result else "false" - process_datas["condition_results"].append( + process_data["condition_results"].append( {"group": "default", "results": group_result, "final_result": final_result} ) @@ -73,7 +73,7 @@ def _run(self) -> NodeRunResult: except Exception as e: return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_datas, error=str(e) + status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_data, error=str(e) ) outputs = {"result": final_result, "selected_case_id": selected_case_id} @@ -81,7 +81,7 @@ def _run(self) -> NodeRunResult: data = NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=node_inputs, - process_data=process_datas, + process_data=process_data, edge_source_handle=selected_case_id or "false", # Use case ID or 'default' outputs=outputs, ) diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index a4f8b6f4ae77b5..75a2fb78a2700b 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -9,7 +9,7 @@ from flask import Flask, current_app from configs import dify_config -from core.model_runtime.utils.encoders import jsonable_encoder +from core.variables import IntegerVariable from core.workflow.entities.node_entities import ( NodeRunMetadataKey, NodeRunResult, @@ -155,18 +155,19 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: iteration_node_data=self.node_data, index=0, pre_iteration_output=None, + duration=None, ) iter_run_map: dict[str, float] = {} outputs: list[Any] = [None] * len(iterator_list_value) try: if self.node_data.is_parallel: futures: list[Future] = [] - q = Queue() + q: Queue = Queue() thread_pool = GraphEngineThreadPool(max_workers=self.node_data.parallel_nums, max_submit_count=100) for index, item in enumerate(iterator_list_value): future: Future = thread_pool.submit( self._run_single_iter_parallel, - current_app._get_current_object(), + current_app._get_current_object(), # type: ignore q, iterator_list_value, inputs, @@ -181,6 +182,7 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: future.add_done_callback(thread_pool.task_done_callback) futures.append(future) succeeded_count = 0 + empty_count = 0 while True: try: event = q.get(timeout=1) @@ -208,17 +210,22 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: else: for _ in range(len(iterator_list_value)): yield from self._run_single_iter( - iterator_list_value, - variable_pool, - inputs, - outputs, - start_at, - graph_engine, - iteration_graph, - iter_run_map, + iterator_list_value=iterator_list_value, + variable_pool=variable_pool, + inputs=inputs, + outputs=outputs, + start_at=start_at, + graph_engine=graph_engine, + iteration_graph=iteration_graph, + iter_run_map=iter_run_map, ) if self.node_data.error_handle_mode == ErrorHandleMode.REMOVE_ABNORMAL_OUTPUT: outputs = [output for output in outputs if output is not None] + + # Flatten the list of lists + if isinstance(outputs, list) and all(isinstance(output, list) for output in outputs): + outputs = [item for sublist in outputs for item in sublist] + yield IterationRunSucceededEvent( iteration_id=self.id, iteration_node_id=self.node_id, @@ -226,7 +233,7 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: iteration_node_data=self.node_data, start_at=start_at, inputs=inputs, - outputs={"output": jsonable_encoder(outputs)}, + outputs={"output": outputs}, steps=len(iterator_list_value), metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, ) @@ -234,7 +241,7 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: yield RunCompletedEvent( run_result=NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, - outputs={"output": jsonable_encoder(outputs)}, + outputs={"output": outputs}, metadata={ NodeRunMetadataKey.ITERATION_DURATION_MAP: iter_run_map, NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens, @@ -251,7 +258,7 @@ def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: iteration_node_data=self.node_data, start_at=start_at, inputs=inputs, - outputs={"output": jsonable_encoder(outputs)}, + outputs={"output": outputs}, steps=len(iterator_list_value), metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, error=str(e), @@ -283,7 +290,7 @@ def _extract_variable_selector_to_variable_mapping( :param node_data: node data :return: """ - variable_mapping = { + variable_mapping: dict[str, Sequence[str]] = { f"{node_id}.input_selector": node_data.iterator_selector, } @@ -300,17 +307,18 @@ def _extract_variable_selector_to_variable_mapping( # variable selector to variable mapping try: # Get node class - from core.workflow.nodes.node_mapping import node_type_classes_mapping + from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING node_type = NodeType(sub_node_config.get("data", {}).get("type")) - node_cls = node_type_classes_mapping.get(node_type) - if not node_cls: + if node_type not in NODE_TYPE_CLASSES_MAPPING: continue + node_version = sub_node_config.get("data", {}).get("version", "1") + node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version] sub_node_variable_mapping = node_cls.extract_variable_selector_to_variable_mapping( graph_config=graph_config, config=sub_node_config ) - sub_node_variable_mapping = cast(dict[str, list[str]], sub_node_variable_mapping) + sub_node_variable_mapping = cast(dict[str, Sequence[str]], sub_node_variable_mapping) except NotImplementedError: sub_node_variable_mapping = {} @@ -331,8 +339,12 @@ def _extract_variable_selector_to_variable_mapping( return variable_mapping def _handle_event_metadata( - self, event: BaseNodeEvent, iter_run_index: str, parallel_mode_run_id: str - ) -> NodeRunStartedEvent | BaseNodeEvent: + self, + *, + event: BaseNodeEvent | InNodeEvent, + iter_run_index: int, + parallel_mode_run_id: str | None, + ) -> NodeRunStartedEvent | BaseNodeEvent | InNodeEvent: """ add iteration metadata to event. """ @@ -357,6 +369,7 @@ def _handle_event_metadata( def _run_single_iter( self, + *, iterator_list_value: list[str], variable_pool: VariablePool, inputs: dict[str, list], @@ -375,12 +388,12 @@ def _run_single_iter( try: rst = graph_engine.run() # get current iteration index - current_index = variable_pool.get([self.node_id, "index"]).value + index_variable = variable_pool.get([self.node_id, "index"]) + if not isinstance(index_variable, IntegerVariable): + raise IterationIndexNotFoundError(f"iteration {self.node_id} current index not found") + current_index = index_variable.value iteration_run_id = parallel_mode_run_id if parallel_mode_run_id is not None else f"{current_index}" next_index = int(current_index) + 1 - - if current_index is None: - raise IterationIndexNotFoundError(f"iteration {self.node_id} current index not found") for event in rst: if isinstance(event, (BaseNodeEvent | BaseParallelBranchEvent)) and not event.in_iteration_id: event.in_iteration_id = self.node_id @@ -393,7 +406,9 @@ def _run_single_iter( continue if isinstance(event, NodeRunSucceededEvent): - yield self._handle_event_metadata(event, current_index, parallel_mode_run_id) + yield self._handle_event_metadata( + event=event, iter_run_index=current_index, parallel_mode_run_id=parallel_mode_run_id + ) elif isinstance(event, BaseGraphEvent): if isinstance(event, GraphRunFailedEvent): # iteration run failed @@ -406,7 +421,7 @@ def _run_single_iter( parallel_mode_run_id=parallel_mode_run_id, start_at=start_at, inputs=inputs, - outputs={"output": jsonable_encoder(outputs)}, + outputs={"output": outputs}, steps=len(iterator_list_value), metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, error=event.error, @@ -419,7 +434,7 @@ def _run_single_iter( iteration_node_data=self.node_data, start_at=start_at, inputs=inputs, - outputs={"output": jsonable_encoder(outputs)}, + outputs={"output": outputs}, steps=len(iterator_list_value), metadata={"total_tokens": graph_engine.graph_runtime_state.total_tokens}, error=event.error, @@ -431,9 +446,11 @@ def _run_single_iter( ) ) return - else: - event = cast(InNodeEvent, event) - metadata_event = self._handle_event_metadata(event, current_index, parallel_mode_run_id) + elif isinstance(event, InNodeEvent): + # event = cast(InNodeEvent, event) + metadata_event = self._handle_event_metadata( + event=event, iter_run_index=current_index, parallel_mode_run_id=parallel_mode_run_id + ) if isinstance(event, NodeRunFailedEvent): if self.node_data.error_handle_mode == ErrorHandleMode.CONTINUE_ON_ERROR: yield NodeInIterationFailedEvent( @@ -515,7 +532,7 @@ def _run_single_iter( iteration_node_data=self.node_data, index=next_index, parallel_mode_run_id=parallel_mode_run_id, - pre_iteration_output=jsonable_encoder(current_iteration_output) if current_iteration_output else None, + pre_iteration_output=current_iteration_output or None, duration=duration, ) @@ -553,7 +570,7 @@ def _run_single_iter_parallel( index: int, item: Any, iter_run_map: dict[str, float], - ) -> Generator[NodeEvent | InNodeEvent, None, None]: + ): """ run single iteration in parallel mode """ diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index d1d7b983ff5abd..8ab0d8b2eb20ad 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -815,7 +815,7 @@ def get_default_config(cls, filters: Optional[dict] = None) -> dict: "completion_model": { "conversation_histories_role": {"user_prefix": "Human", "assistant_prefix": "Assistant"}, "prompt": { - "text": "Here is the chat histories between human and assistant, inside " + "text": "Here are the chat histories between human and assistant, inside " " XML tags.\n\n\n{{" "#histories#}}\n\n\n\nHuman: {{#sys.query#}}\n\nAssistant:", "edition_type": "basic", diff --git a/api/core/workflow/nodes/node_mapping.py b/api/core/workflow/nodes/node_mapping.py index c13b5ff76f3d2f..51fc5129cdd875 100644 --- a/api/core/workflow/nodes/node_mapping.py +++ b/api/core/workflow/nodes/node_mapping.py @@ -1,3 +1,5 @@ +from collections.abc import Mapping + from core.workflow.nodes.answer import AnswerNode from core.workflow.nodes.base import BaseNode from core.workflow.nodes.code import CodeNode @@ -16,26 +18,87 @@ from core.workflow.nodes.template_transform import TemplateTransformNode from core.workflow.nodes.tool import ToolNode from core.workflow.nodes.variable_aggregator import VariableAggregatorNode -from core.workflow.nodes.variable_assigner import VariableAssignerNode +from core.workflow.nodes.variable_assigner.v1 import VariableAssignerNode as VariableAssignerNodeV1 +from core.workflow.nodes.variable_assigner.v2 import VariableAssignerNode as VariableAssignerNodeV2 + +LATEST_VERSION = "latest" -node_type_classes_mapping: dict[NodeType, type[BaseNode]] = { - NodeType.START: StartNode, - NodeType.END: EndNode, - NodeType.ANSWER: AnswerNode, - NodeType.LLM: LLMNode, - NodeType.KNOWLEDGE_RETRIEVAL: KnowledgeRetrievalNode, - NodeType.IF_ELSE: IfElseNode, - NodeType.CODE: CodeNode, - NodeType.TEMPLATE_TRANSFORM: TemplateTransformNode, - NodeType.QUESTION_CLASSIFIER: QuestionClassifierNode, - NodeType.HTTP_REQUEST: HttpRequestNode, - NodeType.TOOL: ToolNode, - NodeType.VARIABLE_AGGREGATOR: VariableAggregatorNode, - NodeType.VARIABLE_ASSIGNER: VariableAggregatorNode, # original name of VARIABLE_AGGREGATOR - NodeType.ITERATION: IterationNode, - NodeType.ITERATION_START: IterationStartNode, - NodeType.PARAMETER_EXTRACTOR: ParameterExtractorNode, - NodeType.CONVERSATION_VARIABLE_ASSIGNER: VariableAssignerNode, - NodeType.DOCUMENT_EXTRACTOR: DocumentExtractorNode, - NodeType.LIST_OPERATOR: ListOperatorNode, +NODE_TYPE_CLASSES_MAPPING: Mapping[NodeType, Mapping[str, type[BaseNode]]] = { + NodeType.START: { + LATEST_VERSION: StartNode, + "1": StartNode, + }, + NodeType.END: { + LATEST_VERSION: EndNode, + "1": EndNode, + }, + NodeType.ANSWER: { + LATEST_VERSION: AnswerNode, + "1": AnswerNode, + }, + NodeType.LLM: { + LATEST_VERSION: LLMNode, + "1": LLMNode, + }, + NodeType.KNOWLEDGE_RETRIEVAL: { + LATEST_VERSION: KnowledgeRetrievalNode, + "1": KnowledgeRetrievalNode, + }, + NodeType.IF_ELSE: { + LATEST_VERSION: IfElseNode, + "1": IfElseNode, + }, + NodeType.CODE: { + LATEST_VERSION: CodeNode, + "1": CodeNode, + }, + NodeType.TEMPLATE_TRANSFORM: { + LATEST_VERSION: TemplateTransformNode, + "1": TemplateTransformNode, + }, + NodeType.QUESTION_CLASSIFIER: { + LATEST_VERSION: QuestionClassifierNode, + "1": QuestionClassifierNode, + }, + NodeType.HTTP_REQUEST: { + LATEST_VERSION: HttpRequestNode, + "1": HttpRequestNode, + }, + NodeType.TOOL: { + LATEST_VERSION: ToolNode, + "1": ToolNode, + }, + NodeType.VARIABLE_AGGREGATOR: { + LATEST_VERSION: VariableAggregatorNode, + "1": VariableAggregatorNode, + }, + NodeType.LEGACY_VARIABLE_AGGREGATOR: { + LATEST_VERSION: VariableAggregatorNode, + "1": VariableAggregatorNode, + }, # original name of VARIABLE_AGGREGATOR + NodeType.ITERATION: { + LATEST_VERSION: IterationNode, + "1": IterationNode, + }, + NodeType.ITERATION_START: { + LATEST_VERSION: IterationStartNode, + "1": IterationStartNode, + }, + NodeType.PARAMETER_EXTRACTOR: { + LATEST_VERSION: ParameterExtractorNode, + "1": ParameterExtractorNode, + }, + NodeType.VARIABLE_ASSIGNER: { + LATEST_VERSION: VariableAssignerNodeV2, + "1": VariableAssignerNodeV1, + "2": VariableAssignerNodeV2, + }, + NodeType.DOCUMENT_EXTRACTOR: { + LATEST_VERSION: DocumentExtractorNode, + "1": DocumentExtractorNode, + }, + NodeType.LIST_OPERATOR: { + LATEST_VERSION: ListOperatorNode, + "1": ListOperatorNode, + }, } diff --git a/api/core/workflow/nodes/parameter_extractor/prompts.py b/api/core/workflow/nodes/parameter_extractor/prompts.py index 58fcecc53b09fd..e603add1704544 100644 --- a/api/core/workflow/nodes/parameter_extractor/prompts.py +++ b/api/core/workflow/nodes/parameter_extractor/prompts.py @@ -98,7 +98,7 @@ Step 4: Ensure that the JSON object is properly formatted and valid. The output should not contain any XML tags. Only the JSON object should be outputted. ### Memory -Here is the chat histories between human and assistant, inside XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} @@ -125,7 +125,7 @@ The structure of the JSON object you can found in the instructions. ### Memory -Here is the chat histories between human and assistant, inside XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} diff --git a/api/core/workflow/nodes/question_classifier/__init__.py b/api/core/workflow/nodes/question_classifier/__init__.py index 70414c4199efdf..4d06b6bea366c7 100644 --- a/api/core/workflow/nodes/question_classifier/__init__.py +++ b/api/core/workflow/nodes/question_classifier/__init__.py @@ -1,4 +1,4 @@ from .entities import QuestionClassifierNodeData from .question_classifier_node import QuestionClassifierNode -__all__ = ["QuestionClassifierNodeData", "QuestionClassifierNode"] +__all__ = ["QuestionClassifierNode", "QuestionClassifierNodeData"] diff --git a/api/core/workflow/nodes/question_classifier/template_prompts.py b/api/core/workflow/nodes/question_classifier/template_prompts.py index 4bca2d9dd4edc9..53fc136b2c2ba5 100644 --- a/api/core/workflow/nodes/question_classifier/template_prompts.py +++ b/api/core/workflow/nodes/question_classifier/template_prompts.py @@ -8,7 +8,7 @@ ### Constraint DO NOT include anything other than the JSON array in your response. ### Memory - Here is the chat histories between human and assistant, inside XML tags. + Here are the chat histories between human and assistant, inside XML tags. {histories} @@ -66,7 +66,7 @@ Assistant:{{"keywords": ["bad service", "slow", "food", "tip", "terrible", "waitresses"],"category_id": "f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name": "Experience"}} ### Memory -Here is the chat histories between human and assistant, inside XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} diff --git a/api/core/workflow/nodes/variable_assigner/__init__.py b/api/core/workflow/nodes/variable_assigner/__init__.py index 83da4bdc79bb21..e69de29bb2d1d6 100644 --- a/api/core/workflow/nodes/variable_assigner/__init__.py +++ b/api/core/workflow/nodes/variable_assigner/__init__.py @@ -1,8 +0,0 @@ -from .node import VariableAssignerNode -from .node_data import VariableAssignerData, WriteMode - -__all__ = [ - "VariableAssignerNode", - "VariableAssignerData", - "WriteMode", -] diff --git a/api/core/workflow/nodes/variable_assigner/common/__init__.py b/api/core/workflow/nodes/variable_assigner/common/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/workflow/nodes/variable_assigner/common/exc.py b/api/core/workflow/nodes/variable_assigner/common/exc.py new file mode 100644 index 00000000000000..a1178fb0203593 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/common/exc.py @@ -0,0 +1,4 @@ +class VariableOperatorNodeError(Exception): + """Base error type, don't use directly.""" + + pass diff --git a/api/core/workflow/nodes/variable_assigner/common/helpers.py b/api/core/workflow/nodes/variable_assigner/common/helpers.py new file mode 100644 index 00000000000000..8031b57fa82892 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/common/helpers.py @@ -0,0 +1,19 @@ +from sqlalchemy import select +from sqlalchemy.orm import Session + +from core.variables import Variable +from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError +from extensions.ext_database import db +from models import ConversationVariable + + +def update_conversation_variable(conversation_id: str, variable: Variable): + stmt = select(ConversationVariable).where( + ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id + ) + with Session(db.engine) as session: + row = session.scalar(stmt) + if not row: + raise VariableOperatorNodeError("conversation variable not found in the database") + row.data = variable.model_dump_json() + session.commit() diff --git a/api/core/workflow/nodes/variable_assigner/exc.py b/api/core/workflow/nodes/variable_assigner/exc.py deleted file mode 100644 index 914be2225642cd..00000000000000 --- a/api/core/workflow/nodes/variable_assigner/exc.py +++ /dev/null @@ -1,2 +0,0 @@ -class VariableAssignerNodeError(Exception): - pass diff --git a/api/core/workflow/nodes/variable_assigner/v1/__init__.py b/api/core/workflow/nodes/variable_assigner/v1/__init__.py new file mode 100644 index 00000000000000..7eb1428e50370c --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v1/__init__.py @@ -0,0 +1,3 @@ +from .node import VariableAssignerNode + +__all__ = ["VariableAssignerNode"] diff --git a/api/core/workflow/nodes/variable_assigner/node.py b/api/core/workflow/nodes/variable_assigner/v1/node.py similarity index 69% rename from api/core/workflow/nodes/variable_assigner/node.py rename to api/core/workflow/nodes/variable_assigner/v1/node.py index 4e66f640dff963..8eb4bd5c2da573 100644 --- a/api/core/workflow/nodes/variable_assigner/node.py +++ b/api/core/workflow/nodes/variable_assigner/v1/node.py @@ -1,40 +1,36 @@ -from sqlalchemy import select -from sqlalchemy.orm import Session - from core.variables import SegmentType, Variable from core.workflow.entities.node_entities import NodeRunResult from core.workflow.nodes.base import BaseNode, BaseNodeData from core.workflow.nodes.enums import NodeType -from extensions.ext_database import db +from core.workflow.nodes.variable_assigner.common import helpers as common_helpers +from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError from factories import variable_factory -from models import ConversationVariable from models.workflow import WorkflowNodeExecutionStatus -from .exc import VariableAssignerNodeError from .node_data import VariableAssignerData, WriteMode class VariableAssignerNode(BaseNode[VariableAssignerData]): _node_data_cls: type[BaseNodeData] = VariableAssignerData - _node_type: NodeType = NodeType.CONVERSATION_VARIABLE_ASSIGNER + _node_type = NodeType.VARIABLE_ASSIGNER def _run(self) -> NodeRunResult: # Should be String, Number, Object, ArrayString, ArrayNumber, ArrayObject original_variable = self.graph_runtime_state.variable_pool.get(self.node_data.assigned_variable_selector) if not isinstance(original_variable, Variable): - raise VariableAssignerNodeError("assigned variable not found") + raise VariableOperatorNodeError("assigned variable not found") match self.node_data.write_mode: case WriteMode.OVER_WRITE: income_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector) if not income_value: - raise VariableAssignerNodeError("input value not found") + raise VariableOperatorNodeError("input value not found") updated_variable = original_variable.model_copy(update={"value": income_value.value}) case WriteMode.APPEND: income_value = self.graph_runtime_state.variable_pool.get(self.node_data.input_variable_selector) if not income_value: - raise VariableAssignerNodeError("input value not found") + raise VariableOperatorNodeError("input value not found") updated_value = original_variable.value + [income_value.value] updated_variable = original_variable.model_copy(update={"value": updated_value}) @@ -43,7 +39,7 @@ def _run(self) -> NodeRunResult: updated_variable = original_variable.model_copy(update={"value": income_value.to_object()}) case _: - raise VariableAssignerNodeError(f"unsupported write mode: {self.node_data.write_mode}") + raise VariableOperatorNodeError(f"unsupported write mode: {self.node_data.write_mode}") # Over write the variable. self.graph_runtime_state.variable_pool.add(self.node_data.assigned_variable_selector, updated_variable) @@ -52,8 +48,8 @@ def _run(self) -> NodeRunResult: # Update conversation variable. conversation_id = self.graph_runtime_state.variable_pool.get(["sys", "conversation_id"]) if not conversation_id: - raise VariableAssignerNodeError("conversation_id not found") - update_conversation_variable(conversation_id=conversation_id.text, variable=updated_variable) + raise VariableOperatorNodeError("conversation_id not found") + common_helpers.update_conversation_variable(conversation_id=conversation_id.text, variable=updated_variable) return NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, @@ -63,18 +59,6 @@ def _run(self) -> NodeRunResult: ) -def update_conversation_variable(conversation_id: str, variable: Variable): - stmt = select(ConversationVariable).where( - ConversationVariable.id == variable.id, ConversationVariable.conversation_id == conversation_id - ) - with Session(db.engine) as session: - row = session.scalar(stmt) - if not row: - raise VariableAssignerNodeError("conversation variable not found in the database") - row.data = variable.model_dump_json() - session.commit() - - def get_zero_value(t: SegmentType): match t: case SegmentType.ARRAY_OBJECT | SegmentType.ARRAY_STRING | SegmentType.ARRAY_NUMBER: @@ -86,4 +70,4 @@ def get_zero_value(t: SegmentType): case SegmentType.NUMBER: return variable_factory.build_segment(0) case _: - raise VariableAssignerNodeError(f"unsupported variable type: {t}") + raise VariableOperatorNodeError(f"unsupported variable type: {t}") diff --git a/api/core/workflow/nodes/variable_assigner/node_data.py b/api/core/workflow/nodes/variable_assigner/v1/node_data.py similarity index 75% rename from api/core/workflow/nodes/variable_assigner/node_data.py rename to api/core/workflow/nodes/variable_assigner/v1/node_data.py index 474ecefe76162a..9734d64712067c 100644 --- a/api/core/workflow/nodes/variable_assigner/node_data.py +++ b/api/core/workflow/nodes/variable_assigner/v1/node_data.py @@ -1,6 +1,5 @@ from collections.abc import Sequence from enum import StrEnum -from typing import Optional from core.workflow.nodes.base import BaseNodeData @@ -12,8 +11,6 @@ class WriteMode(StrEnum): class VariableAssignerData(BaseNodeData): - title: str = "Variable Assigner" - desc: Optional[str] = "Assign a value to a variable" assigned_variable_selector: Sequence[str] write_mode: WriteMode input_variable_selector: Sequence[str] diff --git a/api/core/workflow/nodes/variable_assigner/v2/__init__.py b/api/core/workflow/nodes/variable_assigner/v2/__init__.py new file mode 100644 index 00000000000000..7eb1428e50370c --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/__init__.py @@ -0,0 +1,3 @@ +from .node import VariableAssignerNode + +__all__ = ["VariableAssignerNode"] diff --git a/api/core/workflow/nodes/variable_assigner/v2/constants.py b/api/core/workflow/nodes/variable_assigner/v2/constants.py new file mode 100644 index 00000000000000..3797bfa77a1d62 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/constants.py @@ -0,0 +1,11 @@ +from core.variables import SegmentType + +EMPTY_VALUE_MAPPING = { + SegmentType.STRING: "", + SegmentType.NUMBER: 0, + SegmentType.OBJECT: {}, + SegmentType.ARRAY_ANY: [], + SegmentType.ARRAY_STRING: [], + SegmentType.ARRAY_NUMBER: [], + SegmentType.ARRAY_OBJECT: [], +} diff --git a/api/core/workflow/nodes/variable_assigner/v2/entities.py b/api/core/workflow/nodes/variable_assigner/v2/entities.py new file mode 100644 index 00000000000000..01df33b6d448fc --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/entities.py @@ -0,0 +1,20 @@ +from collections.abc import Sequence +from typing import Any + +from pydantic import BaseModel + +from core.workflow.nodes.base import BaseNodeData + +from .enums import InputType, Operation + + +class VariableOperationItem(BaseModel): + variable_selector: Sequence[str] + input_type: InputType + operation: Operation + value: Any | None = None + + +class VariableAssignerNodeData(BaseNodeData): + version: str = "2" + items: Sequence[VariableOperationItem] diff --git a/api/core/workflow/nodes/variable_assigner/v2/enums.py b/api/core/workflow/nodes/variable_assigner/v2/enums.py new file mode 100644 index 00000000000000..36cf68aa1913fd --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/enums.py @@ -0,0 +1,18 @@ +from enum import StrEnum + + +class Operation(StrEnum): + OVER_WRITE = "over-write" + CLEAR = "clear" + APPEND = "append" + EXTEND = "extend" + SET = "set" + ADD = "+=" + SUBTRACT = "-=" + MULTIPLY = "*=" + DIVIDE = "/=" + + +class InputType(StrEnum): + VARIABLE = "variable" + CONSTANT = "constant" diff --git a/api/core/workflow/nodes/variable_assigner/v2/exc.py b/api/core/workflow/nodes/variable_assigner/v2/exc.py new file mode 100644 index 00000000000000..b67af6d73c44d5 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/exc.py @@ -0,0 +1,31 @@ +from collections.abc import Sequence +from typing import Any + +from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError + +from .enums import InputType, Operation + + +class OperationNotSupportedError(VariableOperatorNodeError): + def __init__(self, *, operation: Operation, variable_type: str): + super().__init__(f"Operation {operation} is not supported for type {variable_type}") + + +class InputTypeNotSupportedError(VariableOperatorNodeError): + def __init__(self, *, input_type: InputType, operation: Operation): + super().__init__(f"Input type {input_type} is not supported for operation {operation}") + + +class VariableNotFoundError(VariableOperatorNodeError): + def __init__(self, *, variable_selector: Sequence[str]): + super().__init__(f"Variable {variable_selector} not found") + + +class InvalidInputValueError(VariableOperatorNodeError): + def __init__(self, *, value: Any): + super().__init__(f"Invalid input value {value}") + + +class ConversationIDNotFoundError(VariableOperatorNodeError): + def __init__(self): + super().__init__("conversation_id not found") diff --git a/api/core/workflow/nodes/variable_assigner/v2/helpers.py b/api/core/workflow/nodes/variable_assigner/v2/helpers.py new file mode 100644 index 00000000000000..a86c7eb94a50af --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/helpers.py @@ -0,0 +1,91 @@ +from typing import Any + +from core.variables import SegmentType + +from .enums import Operation + + +def is_operation_supported(*, variable_type: SegmentType, operation: Operation): + match operation: + case Operation.OVER_WRITE | Operation.CLEAR: + return True + case Operation.SET: + return variable_type in {SegmentType.OBJECT, SegmentType.STRING, SegmentType.NUMBER} + case Operation.ADD | Operation.SUBTRACT | Operation.MULTIPLY | Operation.DIVIDE: + # Only number variable can be added, subtracted, multiplied or divided + return variable_type == SegmentType.NUMBER + case Operation.APPEND | Operation.EXTEND: + # Only array variable can be appended or extended + return variable_type in { + SegmentType.ARRAY_ANY, + SegmentType.ARRAY_OBJECT, + SegmentType.ARRAY_STRING, + SegmentType.ARRAY_NUMBER, + SegmentType.ARRAY_FILE, + } + case _: + return False + + +def is_variable_input_supported(*, operation: Operation): + if operation in {Operation.SET, Operation.ADD, Operation.SUBTRACT, Operation.MULTIPLY, Operation.DIVIDE}: + return False + return True + + +def is_constant_input_supported(*, variable_type: SegmentType, operation: Operation): + match variable_type: + case SegmentType.STRING | SegmentType.OBJECT: + return operation in {Operation.OVER_WRITE, Operation.SET} + case SegmentType.NUMBER: + return operation in { + Operation.OVER_WRITE, + Operation.SET, + Operation.ADD, + Operation.SUBTRACT, + Operation.MULTIPLY, + Operation.DIVIDE, + } + case _: + return False + + +def is_input_value_valid(*, variable_type: SegmentType, operation: Operation, value: Any): + if operation == Operation.CLEAR: + return True + match variable_type: + case SegmentType.STRING: + return isinstance(value, str) + + case SegmentType.NUMBER: + if not isinstance(value, int | float): + return False + if operation == Operation.DIVIDE and value == 0: + return False + return True + + case SegmentType.OBJECT: + return isinstance(value, dict) + + # Array & Append + case SegmentType.ARRAY_ANY if operation == Operation.APPEND: + return isinstance(value, str | float | int | dict) + case SegmentType.ARRAY_STRING if operation == Operation.APPEND: + return isinstance(value, str) + case SegmentType.ARRAY_NUMBER if operation == Operation.APPEND: + return isinstance(value, int | float) + case SegmentType.ARRAY_OBJECT if operation == Operation.APPEND: + return isinstance(value, dict) + + # Array & Extend / Overwrite + case SegmentType.ARRAY_ANY if operation in {Operation.EXTEND, Operation.OVER_WRITE}: + return isinstance(value, list) and all(isinstance(item, str | float | int | dict) for item in value) + case SegmentType.ARRAY_STRING if operation in {Operation.EXTEND, Operation.OVER_WRITE}: + return isinstance(value, list) and all(isinstance(item, str) for item in value) + case SegmentType.ARRAY_NUMBER if operation in {Operation.EXTEND, Operation.OVER_WRITE}: + return isinstance(value, list) and all(isinstance(item, int | float) for item in value) + case SegmentType.ARRAY_OBJECT if operation in {Operation.EXTEND, Operation.OVER_WRITE}: + return isinstance(value, list) and all(isinstance(item, dict) for item in value) + + case _: + return False diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py new file mode 100644 index 00000000000000..d73c7442029225 --- /dev/null +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -0,0 +1,159 @@ +import json +from typing import Any + +from core.variables import SegmentType, Variable +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID +from core.workflow.entities.node_entities import NodeRunResult +from core.workflow.nodes.base import BaseNode +from core.workflow.nodes.enums import NodeType +from core.workflow.nodes.variable_assigner.common import helpers as common_helpers +from core.workflow.nodes.variable_assigner.common.exc import VariableOperatorNodeError +from models.workflow import WorkflowNodeExecutionStatus + +from . import helpers +from .constants import EMPTY_VALUE_MAPPING +from .entities import VariableAssignerNodeData +from .enums import InputType, Operation +from .exc import ( + ConversationIDNotFoundError, + InputTypeNotSupportedError, + InvalidInputValueError, + OperationNotSupportedError, + VariableNotFoundError, +) + + +class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): + _node_data_cls = VariableAssignerNodeData + _node_type = NodeType.VARIABLE_ASSIGNER + + def _run(self) -> NodeRunResult: + inputs = self.node_data.model_dump() + process_data = {} + # NOTE: This node has no outputs + updated_variables: list[Variable] = [] + + try: + for item in self.node_data.items: + variable = self.graph_runtime_state.variable_pool.get(item.variable_selector) + + # ==================== Validation Part + + # Check if variable exists + if not isinstance(variable, Variable): + raise VariableNotFoundError(variable_selector=item.variable_selector) + + # Check if operation is supported + if not helpers.is_operation_supported(variable_type=variable.value_type, operation=item.operation): + raise OperationNotSupportedError(operation=item.operation, variable_type=variable.value_type) + + # Check if variable input is supported + if item.input_type == InputType.VARIABLE and not helpers.is_variable_input_supported( + operation=item.operation + ): + raise InputTypeNotSupportedError(input_type=InputType.VARIABLE, operation=item.operation) + + # Check if constant input is supported + if item.input_type == InputType.CONSTANT and not helpers.is_constant_input_supported( + variable_type=variable.value_type, operation=item.operation + ): + raise InputTypeNotSupportedError(input_type=InputType.CONSTANT, operation=item.operation) + + # Get value from variable pool + if ( + item.input_type == InputType.VARIABLE + and item.operation != Operation.CLEAR + and item.value is not None + ): + value = self.graph_runtime_state.variable_pool.get(item.value) + if value is None: + raise VariableNotFoundError(variable_selector=item.value) + # Skip if value is NoneSegment + if value.value_type == SegmentType.NONE: + continue + item.value = value.value + + # If set string / bytes / bytearray to object, try convert string to object. + if ( + item.operation == Operation.SET + and variable.value_type == SegmentType.OBJECT + and isinstance(item.value, str | bytes | bytearray) + ): + try: + item.value = json.loads(item.value) + except json.JSONDecodeError: + raise InvalidInputValueError(value=item.value) + + # Check if input value is valid + if not helpers.is_input_value_valid( + variable_type=variable.value_type, operation=item.operation, value=item.value + ): + raise InvalidInputValueError(value=item.value) + + # ==================== Execution Part + + updated_value = self._handle_item( + variable=variable, + operation=item.operation, + value=item.value, + ) + variable = variable.model_copy(update={"value": updated_value}) + updated_variables.append(variable) + except VariableOperatorNodeError as e: + return NodeRunResult( + status=WorkflowNodeExecutionStatus.FAILED, + inputs=inputs, + process_data=process_data, + error=str(e), + ) + + # Update variables + for variable in updated_variables: + self.graph_runtime_state.variable_pool.add(variable.selector, variable) + process_data[variable.name] = variable.value + + if variable.selector[0] == CONVERSATION_VARIABLE_NODE_ID: + conversation_id = self.graph_runtime_state.variable_pool.get(["sys", "conversation_id"]) + if not conversation_id: + raise ConversationIDNotFoundError + else: + conversation_id = conversation_id.value + common_helpers.update_conversation_variable( + conversation_id=conversation_id, + variable=variable, + ) + + return NodeRunResult( + status=WorkflowNodeExecutionStatus.SUCCEEDED, + inputs=inputs, + process_data=process_data, + ) + + def _handle_item( + self, + *, + variable: Variable, + operation: Operation, + value: Any, + ): + match operation: + case Operation.OVER_WRITE: + return value + case Operation.CLEAR: + return EMPTY_VALUE_MAPPING[variable.value_type] + case Operation.APPEND: + return variable.value + [value] + case Operation.EXTEND: + return variable.value + value + case Operation.SET: + return value + case Operation.ADD: + return variable.value + value + case Operation.SUBTRACT: + return variable.value - value + case Operation.MULTIPLY: + return variable.value * value + case Operation.DIVIDE: + return variable.value / value + case _: + raise OperationNotSupportedError(operation=operation, variable_type=variable.value_type) diff --git a/api/core/workflow/workflow_entry.py b/api/core/workflow/workflow_entry.py index 6f7b143ad6edab..811e40c11e5407 100644 --- a/api/core/workflow/workflow_entry.py +++ b/api/core/workflow/workflow_entry.py @@ -2,7 +2,7 @@ import time import uuid from collections.abc import Generator, Mapping, Sequence -from typing import Any, Optional, cast +from typing import Any, Optional from configs import dify_config from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError @@ -19,7 +19,7 @@ from core.workflow.nodes import NodeType from core.workflow.nodes.base import BaseNode from core.workflow.nodes.event import NodeEvent -from core.workflow.nodes.node_mapping import node_type_classes_mapping +from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING from factories import file_factory from models.enums import UserFrom from models.workflow import ( @@ -145,11 +145,8 @@ def single_step_run( # Get node class node_type = NodeType(node_config.get("data", {}).get("type")) - node_cls = node_type_classes_mapping.get(node_type) - node_cls = cast(type[BaseNode], node_cls) - - if not node_cls: - raise ValueError(f"Node class not found for node type {node_type}") + node_version = node_config.get("data", {}).get("version", "1") + node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version] # init variable pool variable_pool = VariablePool(environment_variables=workflow.environment_variables) diff --git a/api/extensions/ext_redis.py b/api/extensions/ext_redis.py index f97adc058ccafb..da4180570793e5 100644 --- a/api/extensions/ext_redis.py +++ b/api/extensions/ext_redis.py @@ -1,3 +1,5 @@ +from typing import Any, Union + import redis from redis.cluster import ClusterNode, RedisCluster from redis.connection import Connection, SSLConnection @@ -46,11 +48,11 @@ def __getattr__(self, item): def init_app(app: DifyApp): global redis_client - connection_class = Connection + connection_class: type[Union[Connection, SSLConnection]] = Connection if dify_config.REDIS_USE_SSL: connection_class = SSLConnection - redis_params = { + redis_params: dict[str, Any] = { "username": dify_config.REDIS_USERNAME, "password": dify_config.REDIS_PASSWORD, "db": dify_config.REDIS_DB, @@ -60,6 +62,7 @@ def init_app(app: DifyApp): } if dify_config.REDIS_USE_SENTINEL: + assert dify_config.REDIS_SENTINELS is not None, "REDIS_SENTINELS must be set when REDIS_USE_SENTINEL is True" sentinel_hosts = [ (node.split(":")[0], int(node.split(":")[1])) for node in dify_config.REDIS_SENTINELS.split(",") ] @@ -74,11 +77,13 @@ def init_app(app: DifyApp): master = sentinel.master_for(dify_config.REDIS_SENTINEL_SERVICE_NAME, **redis_params) redis_client.initialize(master) elif dify_config.REDIS_USE_CLUSTERS: + assert dify_config.REDIS_CLUSTERS is not None, "REDIS_CLUSTERS must be set when REDIS_USE_CLUSTERS is True" nodes = [ - ClusterNode(host=node.split(":")[0], port=int(node.split.split(":")[1])) + ClusterNode(host=node.split(":")[0], port=int(node.split(":")[1])) for node in dify_config.REDIS_CLUSTERS.split(",") ] - redis_client.initialize(RedisCluster(startup_nodes=nodes, password=dify_config.REDIS_CLUSTERS_PASSWORD)) + # FIXME: mypy error here, try to figure out how to fix it + redis_client.initialize(RedisCluster(startup_nodes=nodes, password=dify_config.REDIS_CLUSTERS_PASSWORD)) # type: ignore else: redis_params.update( { diff --git a/api/factories/variable_factory.py b/api/factories/variable_factory.py index 5b004405b4a7a0..16a578728aa16e 100644 --- a/api/factories/variable_factory.py +++ b/api/factories/variable_factory.py @@ -36,6 +36,7 @@ StringVariable, Variable, ) +from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, ENVIRONMENT_VARIABLE_NODE_ID class InvalidSelectorError(ValueError): @@ -62,11 +63,25 @@ class UnsupportedSegmentTypeError(Exception): } -def build_variable_from_mapping(mapping: Mapping[str, Any], /) -> Variable: - if (value_type := mapping.get("value_type")) is None: - raise VariableError("missing value type") +def build_conversation_variable_from_mapping(mapping: Mapping[str, Any], /) -> Variable: + if not mapping.get("name"): + raise VariableError("missing name") + return _build_variable_from_mapping(mapping=mapping, selector=[CONVERSATION_VARIABLE_NODE_ID, mapping["name"]]) + + +def build_environment_variable_from_mapping(mapping: Mapping[str, Any], /) -> Variable: if not mapping.get("name"): raise VariableError("missing name") + return _build_variable_from_mapping(mapping=mapping, selector=[ENVIRONMENT_VARIABLE_NODE_ID, mapping["name"]]) + + +def _build_variable_from_mapping(*, mapping: Mapping[str, Any], selector: Sequence[str]) -> Variable: + """ + This factory function is used to create the environment variable or the conversation variable, + not support the File type. + """ + if (value_type := mapping.get("value_type")) is None: + raise VariableError("missing value type") if (value := mapping.get("value")) is None: raise VariableError("missing value") match value_type: @@ -92,6 +107,8 @@ def build_variable_from_mapping(mapping: Mapping[str, Any], /) -> Variable: raise VariableError(f"not supported value type {value_type}") if result.size > dify_config.MAX_VARIABLE_SIZE: raise VariableError(f"variable size {result.size} exceeds limit {dify_config.MAX_VARIABLE_SIZE}") + if not result.selector: + result = result.model_copy(update={"selector": selector}) return result diff --git a/api/libs/helper.py b/api/libs/helper.py index b98a4829e8b6e4..7652d73c8b8db6 100644 --- a/api/libs/helper.py +++ b/api/libs/helper.py @@ -6,7 +6,7 @@ import subprocess import time import uuid -from collections.abc import Generator +from collections.abc import Generator, Mapping from datetime import datetime from hashlib import sha256 from typing import Any, Optional, Union @@ -180,7 +180,9 @@ def generate_text_hash(text: str) -> str: return sha256(hash_text.encode()).hexdigest() -def compact_generate_response(response: Union[dict, RateLimitGenerator]) -> Response: +def compact_generate_response( + response: Union[Mapping[str, Any], RateLimitGenerator, Generator[str, None, None]], +) -> Response: if isinstance(response, dict): return Response(response=json.dumps(response), status=200, mimetype="application/json") else: diff --git a/api/libs/oauth_data_source.py b/api/libs/oauth_data_source.py index 53aa0f2d45c822..1d39abd8fa7886 100644 --- a/api/libs/oauth_data_source.py +++ b/api/libs/oauth_data_source.py @@ -221,15 +221,29 @@ def get_authorized_pages(self, access_token: str): return pages def notion_page_search(self, access_token: str): - data = {"filter": {"value": "page", "property": "object"}} - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {access_token}", - "Notion-Version": "2022-06-28", - } - response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers) - response_json = response.json() - results = response_json.get("results", []) + results = [] + next_cursor = None + has_more = True + + while has_more: + data = { + "filter": {"value": "page", "property": "object"}, + **({"start_cursor": next_cursor} if next_cursor else {}), + } + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {access_token}", + "Notion-Version": "2022-06-28", + } + + response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers) + response_json = response.json() + + results.extend(response_json.get("results", [])) + + has_more = response_json.get("has_more", False) + next_cursor = response_json.get("next_cursor", None) + return results def notion_block_parent_page_id(self, access_token: str, block_id: str): @@ -239,6 +253,8 @@ def notion_block_parent_page_id(self, access_token: str, block_id: str): } response = requests.get(url=f"{self._NOTION_BLOCK_SEARCH}/{block_id}", headers=headers) response_json = response.json() + if response.status_code != 200: + raise ValueError(f"Error fetching block parent page ID: {response_json.message}") parent = response_json["parent"] parent_type = parent["type"] if parent_type == "block_id": @@ -260,13 +276,26 @@ def notion_workspace_name(self, access_token: str): return "workspace" def notion_database_search(self, access_token: str): - data = {"filter": {"value": "database", "property": "object"}} - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {access_token}", - "Notion-Version": "2022-06-28", - } - response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers) - response_json = response.json() - results = response_json.get("results", []) + results = [] + next_cursor = None + has_more = True + + while has_more: + data = { + "filter": {"value": "database", "property": "object"}, + **({"start_cursor": next_cursor} if next_cursor else {}), + } + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {access_token}", + "Notion-Version": "2022-06-28", + } + response = requests.post(url=self._NOTION_PAGE_SEARCH, json=data, headers=headers) + response_json = response.json() + + results.extend(response_json.get("results", [])) + + has_more = response_json.get("has_more", False) + next_cursor = response_json.get("next_cursor", None) + return results diff --git a/api/models/__init__.py b/api/models/__init__.py index cd6c7674da0847..61a38870cf9b91 100644 --- a/api/models/__init__.py +++ b/api/models/__init__.py @@ -24,30 +24,30 @@ ) __all__ = [ + "Account", + "AccountIntegrate", + "ApiToken", + "App", + "AppMode", + "Conversation", "ConversationVariable", - "Document", + "DataSourceOauthBinding", "Dataset", "DatasetProcessRule", + "Document", "DocumentSegment", - "DataSourceOauthBinding", - "AppMode", - "Workflow", - "App", - "Message", "EndUser", - "MessageFile", - "UploadFile", - "Account", - "WorkflowAppLog", - "WorkflowRun", - "Site", "InstalledApp", - "RecommendedApp", - "ApiToken", - "AccountIntegrate", "InvitationCode", - "Tenant", - "Conversation", + "Message", "MessageAnnotation", + "MessageFile", + "RecommendedApp", + "Site", + "Tenant", "ToolFile", + "UploadFile", + "Workflow", + "WorkflowAppLog", + "WorkflowRun", ] diff --git a/api/models/workflow.py b/api/models/workflow.py index fd53f137f906bf..c0e70889a88875 100644 --- a/api/models/workflow.py +++ b/api/models/workflow.py @@ -238,7 +238,9 @@ def environment_variables(self) -> Sequence[Variable]: tenant_id = contexts.tenant_id.get() environment_variables_dict: dict[str, Any] = json.loads(self._environment_variables) - results = [variable_factory.build_variable_from_mapping(v) for v in environment_variables_dict.values()] + results = [ + variable_factory.build_environment_variable_from_mapping(v) for v in environment_variables_dict.values() + ] # decrypt secret variables value decrypt_func = ( @@ -303,7 +305,7 @@ def conversation_variables(self) -> Sequence[Variable]: self._conversation_variables = "{}" variables_dict: dict[str, Any] = json.loads(self._conversation_variables) - results = [variable_factory.build_variable_from_mapping(v) for v in variables_dict.values()] + results = [variable_factory.build_conversation_variable_from_mapping(v) for v in variables_dict.values()] return results @conversation_variables.setter @@ -793,4 +795,4 @@ def from_variable(cls, *, app_id: str, conversation_id: str, variable: Variable) def to_variable(self) -> Variable: mapping = json.loads(self.data) - return variable_factory.build_variable_from_mapping(mapping) + return variable_factory.build_conversation_variable_from_mapping(mapping) diff --git a/api/poetry.lock b/api/poetry.lock index 4256bbe9cd48fd..4c784e53cda4b1 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -1,14 +1,25 @@ # This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = 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pycodestyle E rules - "F", # pyflakes rules - "FURB", # refurb rules - "I", # isort rules - "N", # pep8-naming - "PT", # flake8-pytest-style rules - "PLC0208", # iteration-over-set - "PLC2801", # unnecessary-dunder-call - "PLC0414", # useless-import-alias - "PLR0402", # manual-from-import - "PLR1711", # useless-return - "PLR1714", # repeated-equality-comparison - "RUF013", # implicit-optional - "RUF019", # unnecessary-key-check - "RUF100", # unused-noqa - "RUF101", # redirected-noqa - "S506", # unsafe-yaml-load - "SIM", # flake8-simplify rules - "TRY400", # error-instead-of-exception - "TRY401", # verbose-log-message - "UP", # pyupgrade rules - "W191", # tab-indentation - "W605", # invalid-escape-sequence -] -ignore = [ - "E402", # module-import-not-at-top-of-file - "E711", # none-comparison - "E712", # true-false-comparison - "E721", # type-comparison - "E722", # bare-except - "E731", # lambda-assignment - "F821", # undefined-name - "F841", # unused-variable - "FURB113", # repeated-append - "FURB152", # math-constant - "UP007", # non-pep604-annotation - "UP032", # f-string - "B005", # strip-with-multi-characters - "B006", # mutable-argument-default - "B007", # unused-loop-control-variable - "B026", # star-arg-unpacking-after-keyword-arg - "B904", # raise-without-from-inside-except - "B905", # zip-without-explicit-strict - "N806", # non-lowercase-variable-in-function - "N815", # mixed-case-variable-in-class-scope - "PT011", # pytest-raises-too-broad - "SIM102", # collapsible-if - "SIM103", # needless-bool - "SIM105", # suppressible-exception - "SIM107", # return-in-try-except-finally - "SIM108", # if-else-block-instead-of-if-exp - "SIM113", # eumerate-for-loop - "SIM117", # multiple-with-statements - "SIM210", # if-expr-with-true-false - "SIM300", # yoda-conditions, -] - -[tool.ruff.lint.per-file-ignores] -"app.py" = [ -] -"__init__.py" = [ - "F401", # unused-import - "F811", # redefined-while-unused -] -"configs/*" = [ - "N802", # invalid-function-name -] -"libs/gmpy2_pkcs10aep_cipher.py" = [ - "N803", # invalid-argument-name -] -"tests/*" = [ - "F811", # redefined-while-unused - "F401", # unused-import -] - -[tool.ruff.lint.pyflakes] -extend-generics=[ - "_pytest.monkeypatch", - "tests.integration_tests", -] - -[tool.ruff.format] -exclude = [ -] - [tool.poetry] -name = "dify-api" package-mode = false ############################################################ @@ -116,7 +20,7 @@ azure-ai-inference = "~1.0.0b3" azure-ai-ml = "~1.20.0" azure-identity = "1.16.1" beautifulsoup4 = "4.12.2" -boto3 = "1.35.17" +boto3 = "1.35.74" bs4 = "~0.0.1" cachetools = "~5.3.0" celery = "~5.4.0" @@ -281,4 +185,4 @@ pytest-mock = "~3.14.0" optional = true [tool.poetry.group.lint.dependencies] dotenv-linter = "~0.5.0" -ruff = "~0.7.3" +ruff = "~0.8.1" diff --git a/api/services/app_dsl_service.py b/api/services/app_dsl_service.py index a4d71d5424a19b..8180c3b400719a 100644 --- a/api/services/app_dsl_service.py +++ b/api/services/app_dsl_service.py @@ -22,7 +22,7 @@ IMPORT_INFO_REDIS_KEY_PREFIX = "app_import_info:" IMPORT_INFO_REDIS_EXPIRY = 180 # 3 minutes -CURRENT_DSL_VERSION = "0.1.3" +CURRENT_DSL_VERSION = "0.1.4" class ImportMode(StrEnum): @@ -387,11 +387,11 @@ def _create_or_update_app( environment_variables_list = workflow_data.get("environment_variables", []) environment_variables = [ - variable_factory.build_variable_from_mapping(obj) for obj in environment_variables_list + variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list ] conversation_variables_list = workflow_data.get("conversation_variables", []) conversation_variables = [ - variable_factory.build_variable_from_mapping(obj) for obj in conversation_variables_list + variable_factory.build_conversation_variable_from_mapping(obj) for obj in conversation_variables_list ] workflow_service = WorkflowService() diff --git a/api/services/app_generate_service.py b/api/services/app_generate_service.py index 83a9a16904186a..545de8190cb51e 100644 --- a/api/services/app_generate_service.py +++ b/api/services/app_generate_service.py @@ -43,50 +43,66 @@ def generate( request_id = rate_limit.enter(request_id) if app_model.mode == AppMode.COMPLETION.value: return rate_limit.generate( - CompletionAppGenerator().generate( - app_model=app_model, user=user, args=args, invoke_from=invoke_from, stream=streaming + generator=CompletionAppGenerator().generate( + app_model=app_model, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, ), - request_id, + request_id=request_id, ) elif app_model.mode == AppMode.AGENT_CHAT.value or app_model.is_agent: + generator = AgentChatAppGenerator().generate( + app_model=app_model, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, + ) return rate_limit.generate( - AgentChatAppGenerator().generate( - app_model=app_model, user=user, args=args, invoke_from=invoke_from, stream=streaming - ), - request_id, + generator=generator, + request_id=request_id, ) elif app_model.mode == AppMode.CHAT.value: return rate_limit.generate( - ChatAppGenerator().generate( - app_model=app_model, user=user, args=args, invoke_from=invoke_from, stream=streaming + generator=ChatAppGenerator().generate( + app_model=app_model, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, ), - request_id, + request_id=request_id, ) elif app_model.mode == AppMode.ADVANCED_CHAT.value: workflow = cls._get_workflow(app_model, invoke_from) return rate_limit.generate( - AdvancedChatAppGenerator().generate( + generator=AdvancedChatAppGenerator().generate( app_model=app_model, workflow=workflow, user=user, args=args, invoke_from=invoke_from, - stream=streaming, + streaming=streaming, ), - request_id, + request_id=request_id, ) elif app_model.mode == AppMode.WORKFLOW.value: workflow = cls._get_workflow(app_model, invoke_from) + generator = WorkflowAppGenerator().generate( + app_model=app_model, + workflow=workflow, + user=user, + args=args, + invoke_from=invoke_from, + streaming=streaming, + call_depth=0, + workflow_thread_pool_id=None, + ) return rate_limit.generate( - WorkflowAppGenerator().generate( - app_model=app_model, - workflow=workflow, - user=user, - args=args, - invoke_from=invoke_from, - stream=streaming, - ), - request_id, + generator=generator, + request_id=request_id, ) else: raise ValueError(f"Invalid app mode {app_model.mode}") @@ -108,12 +124,17 @@ def generate_single_iteration(cls, app_model: App, user: Account, node_id: str, if app_model.mode == AppMode.ADVANCED_CHAT.value: workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER) return AdvancedChatAppGenerator().single_iteration_generate( - app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, stream=streaming + app_model=app_model, + workflow=workflow, + node_id=node_id, + user=user, + args=args, + streaming=streaming, ) elif app_model.mode == AppMode.WORKFLOW.value: workflow = cls._get_workflow(app_model, InvokeFrom.DEBUGGER) return WorkflowAppGenerator().single_iteration_generate( - app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, stream=streaming + app_model=app_model, workflow=workflow, node_id=node_id, user=user, args=args, streaming=streaming ) else: raise ValueError(f"Invalid app mode {app_model.mode}") diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index d38729f31e913e..a1014e8e0ad908 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -406,6 +406,9 @@ class DocumentService: ], "segmentation": {"delimiter": "\n", "max_tokens": 500, "chunk_overlap": 50}, }, + "limits": { + "indexing_max_segmentation_tokens_length": dify_config.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH, + }, } DOCUMENT_METADATA_SCHEMA = { diff --git a/api/services/errors/__init__.py b/api/services/errors/__init__.py index bb5711145c0a44..eb1f055708cdc4 100644 --- a/api/services/errors/__init__.py +++ b/api/services/errors/__init__.py @@ -14,16 +14,16 @@ ) __all__ = [ - "base", - "conversation", - "message", - "index", - "app_model_config", "account", - "document", - "dataset", "app", - "completion", + "app_model_config", "audio", + "base", + "completion", + "conversation", + "dataset", + "document", "file", + "index", + "message", ] diff --git a/api/services/feature_service.py b/api/services/feature_service.py index c2203b167d7e07..6bd82a27574274 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -171,8 +171,10 @@ def _fulfill_params_from_enterprise(cls, features): features.is_allow_create_workspace = enterprise_info["is_allow_create_workspace"] if "license" in enterprise_info: - if "status" in enterprise_info["license"]: - features.license.status = enterprise_info["license"]["status"] + license_info = enterprise_info["license"] - if "expired_at" in enterprise_info["license"]: - features.license.expired_at = enterprise_info["license"]["expired_at"] + if "status" in license_info: + features.license.status = LicenseStatus(license_info.get("status", LicenseStatus.INACTIVE)) + + if "expired_at" in license_info: + features.license.expired_at = license_info["expired_at"] diff --git a/api/services/workflow_service.py b/api/services/workflow_service.py index aa2babd7f7806b..37d7d0937cd492 100644 --- a/api/services/workflow_service.py +++ b/api/services/workflow_service.py @@ -12,7 +12,7 @@ from core.workflow.errors import WorkflowNodeRunFailedError from core.workflow.nodes import NodeType from core.workflow.nodes.event import RunCompletedEvent -from core.workflow.nodes.node_mapping import node_type_classes_mapping +from core.workflow.nodes.node_mapping import LATEST_VERSION, NODE_TYPE_CLASSES_MAPPING from core.workflow.workflow_entry import WorkflowEntry from events.app_event import app_draft_workflow_was_synced, app_published_workflow_was_updated from extensions.ext_database import db @@ -176,7 +176,8 @@ def get_default_block_configs(self) -> list[dict]: """ # return default block config default_block_configs = [] - for node_type, node_class in node_type_classes_mapping.items(): + for node_class_mapping in NODE_TYPE_CLASSES_MAPPING.values(): + node_class = node_class_mapping[LATEST_VERSION] default_config = node_class.get_default_config() if default_config: default_block_configs.append(default_config) @@ -190,13 +191,13 @@ def get_default_block_config(self, node_type: str, filters: Optional[dict] = Non :param filters: filter by node config parameters. :return: """ - node_type_enum: NodeType = NodeType(node_type) + node_type_enum = NodeType(node_type) # return default block config - node_class = node_type_classes_mapping.get(node_type_enum) - if not node_class: + if node_type_enum not in NODE_TYPE_CLASSES_MAPPING: return None + node_class = NODE_TYPE_CLASSES_MAPPING[node_type_enum][LATEST_VERSION] default_config = node_class.get_default_config(filters=filters) if not default_config: return None diff --git a/api/tasks/external_document_indexing_task.py b/api/tasks/external_document_indexing_task.py index 6fc719ae8d085a..69f3072e2de01a 100644 --- a/api/tasks/external_document_indexing_task.py +++ b/api/tasks/external_document_indexing_task.py @@ -5,7 +5,7 @@ import click from celery import shared_task -from core.indexing_runner import DocumentIsPausedException +from core.indexing_runner import DocumentIsPausedError from extensions.ext_database import db from extensions.ext_storage import storage from models.dataset import Dataset, ExternalKnowledgeApis @@ -86,7 +86,7 @@ def external_document_indexing_task( fg="green", ) ) - except DocumentIsPausedException as ex: + except DocumentIsPausedError as ex: logging.info(click.style(str(ex), fg="yellow")) except Exception: diff --git a/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py b/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py index 4f44d2ffd60ae3..5dd4754e8ef19c 100644 --- a/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py +++ b/api/tests/integration_tests/vdb/analyticdb/test_analyticdb.py @@ -1,4 +1,4 @@ -from core.rag.datasource.vdb.analyticdb.analyticdb_vector import AnalyticdbConfig, AnalyticdbVector +from core.rag.datasource.vdb.analyticdb.analyticdb_vector import AnalyticdbVector from core.rag.datasource.vdb.analyticdb.analyticdb_vector_openapi import AnalyticdbVectorOpenAPIConfig from core.rag.datasource.vdb.analyticdb.analyticdb_vector_sql import AnalyticdbVectorBySqlConfig from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, setup_mock_redis diff --git a/api/tests/unit_tests/configs/test_dify_config.py b/api/tests/unit_tests/configs/test_dify_config.py index 0eb310a51a335b..385eb08c3681ff 100644 --- a/api/tests/unit_tests/configs/test_dify_config.py +++ b/api/tests/unit_tests/configs/test_dify_config.py @@ -37,7 +37,11 @@ def test_dify_config_undefined_entry(example_env_file): assert config["LOG_LEVEL"] == "INFO" +# NOTE: If there is a `.env` file in your Workspace, this test might not succeed as expected. +# This is due to `pymilvus` loading all the variables from the `.env` file into `os.environ`. def test_dify_config(example_env_file): + # clear system environment variables + os.environ.clear() # load dotenv file with pydantic-settings config = DifyConfig(_env_file=example_env_file) diff --git a/api/tests/unit_tests/core/app/segments/test_factory.py b/api/tests/unit_tests/core/app/segments/test_factory.py index 882a87239b84e4..e6e289c12acfe8 100644 --- a/api/tests/unit_tests/core/app/segments/test_factory.py +++ b/api/tests/unit_tests/core/app/segments/test_factory.py @@ -19,36 +19,36 @@ def test_string_variable(): test_data = {"value_type": "string", "name": "test_text", "value": "Hello, World!"} - result = variable_factory.build_variable_from_mapping(test_data) + result = variable_factory.build_conversation_variable_from_mapping(test_data) assert isinstance(result, StringVariable) def test_integer_variable(): test_data = {"value_type": "number", "name": "test_int", "value": 42} - result = variable_factory.build_variable_from_mapping(test_data) + result = variable_factory.build_conversation_variable_from_mapping(test_data) assert isinstance(result, IntegerVariable) def test_float_variable(): test_data = {"value_type": "number", "name": "test_float", "value": 3.14} - result = variable_factory.build_variable_from_mapping(test_data) + result = variable_factory.build_conversation_variable_from_mapping(test_data) assert isinstance(result, FloatVariable) def test_secret_variable(): test_data = {"value_type": "secret", "name": "test_secret", "value": "secret_value"} - result = variable_factory.build_variable_from_mapping(test_data) + result = variable_factory.build_conversation_variable_from_mapping(test_data) assert isinstance(result, SecretVariable) def test_invalid_value_type(): test_data = {"value_type": "unknown", "name": "test_invalid", "value": "value"} with pytest.raises(VariableError): - variable_factory.build_variable_from_mapping(test_data) + variable_factory.build_conversation_variable_from_mapping(test_data) def test_build_a_blank_string(): - result = variable_factory.build_variable_from_mapping( + result = variable_factory.build_conversation_variable_from_mapping( { "value_type": "string", "name": "blank", @@ -80,7 +80,7 @@ def test_object_variable(): "key2": 2, }, } - variable = variable_factory.build_variable_from_mapping(mapping) + variable = variable_factory.build_conversation_variable_from_mapping(mapping) assert isinstance(variable, ObjectSegment) assert isinstance(variable.value["key1"], str) assert isinstance(variable.value["key2"], int) @@ -97,7 +97,7 @@ def test_array_string_variable(): "text", ], } - variable = variable_factory.build_variable_from_mapping(mapping) + variable = variable_factory.build_conversation_variable_from_mapping(mapping) assert isinstance(variable, ArrayStringVariable) assert isinstance(variable.value[0], str) assert isinstance(variable.value[1], str) @@ -114,7 +114,7 @@ def test_array_number_variable(): 2.0, ], } - variable = variable_factory.build_variable_from_mapping(mapping) + variable = variable_factory.build_conversation_variable_from_mapping(mapping) assert isinstance(variable, ArrayNumberVariable) assert isinstance(variable.value[0], int) assert isinstance(variable.value[1], float) @@ -137,7 +137,7 @@ def test_array_object_variable(): }, ], } - variable = variable_factory.build_variable_from_mapping(mapping) + variable = variable_factory.build_conversation_variable_from_mapping(mapping) assert isinstance(variable, ArrayObjectVariable) assert isinstance(variable.value[0], dict) assert isinstance(variable.value[1], dict) @@ -149,7 +149,7 @@ def test_array_object_variable(): def test_variable_cannot_large_than_200_kb(): with pytest.raises(VariableError): - variable_factory.build_variable_from_mapping( + variable_factory.build_conversation_variable_from_mapping( { "id": str(uuid4()), "value_type": "string", diff --git a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py similarity index 92% rename from api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py rename to api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py index 096ae0ea521e5c..9793da129d714e 100644 --- a/api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py +++ b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v1/test_variable_assigner_v1.py @@ -10,7 +10,8 @@ from core.workflow.graph_engine.entities.graph import Graph from core.workflow.graph_engine.entities.graph_init_params import GraphInitParams from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntimeState -from core.workflow.nodes.variable_assigner import VariableAssignerNode, WriteMode +from core.workflow.nodes.variable_assigner.v1 import VariableAssignerNode +from core.workflow.nodes.variable_assigner.v1.node_data import WriteMode from models.enums import UserFrom from models.workflow import WorkflowType @@ -84,6 +85,7 @@ def test_overwrite_string_variable(): config={ "id": "node_id", "data": { + "title": "test", "assigned_variable_selector": ["conversation", conversation_variable.name], "write_mode": WriteMode.OVER_WRITE.value, "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], @@ -91,7 +93,7 @@ def test_overwrite_string_variable(): }, ) - with mock.patch("core.workflow.nodes.variable_assigner.node.update_conversation_variable") as mock_run: + with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: list(node.run()) mock_run.assert_called_once() @@ -166,6 +168,7 @@ def test_append_variable_to_array(): config={ "id": "node_id", "data": { + "title": "test", "assigned_variable_selector": ["conversation", conversation_variable.name], "write_mode": WriteMode.APPEND.value, "input_variable_selector": [DEFAULT_NODE_ID, input_variable.name], @@ -173,7 +176,7 @@ def test_append_variable_to_array(): }, ) - with mock.patch("core.workflow.nodes.variable_assigner.node.update_conversation_variable") as mock_run: + with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: list(node.run()) mock_run.assert_called_once() @@ -237,6 +240,7 @@ def test_clear_array(): config={ "id": "node_id", "data": { + "title": "test", "assigned_variable_selector": ["conversation", conversation_variable.name], "write_mode": WriteMode.CLEAR.value, "input_variable_selector": [], @@ -244,7 +248,7 @@ def test_clear_array(): }, ) - with mock.patch("core.workflow.nodes.variable_assigner.node.update_conversation_variable") as mock_run: + with mock.patch("core.workflow.nodes.variable_assigner.common.helpers.update_conversation_variable") as mock_run: list(node.run()) mock_run.assert_called_once() diff --git a/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_helpers.py b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_helpers.py new file mode 100644 index 00000000000000..16c13700187c5d --- /dev/null +++ b/api/tests/unit_tests/core/workflow/nodes/variable_assigner/v2/test_helpers.py @@ -0,0 +1,24 @@ +import pytest + +from core.variables import SegmentType +from core.workflow.nodes.variable_assigner.v2.enums import Operation +from core.workflow.nodes.variable_assigner.v2.helpers import is_input_value_valid + + +def test_is_input_value_valid_overwrite_array_string(): + # Valid cases + assert is_input_value_valid( + variable_type=SegmentType.ARRAY_STRING, operation=Operation.OVER_WRITE, value=["hello", "world"] + ) + assert is_input_value_valid(variable_type=SegmentType.ARRAY_STRING, operation=Operation.OVER_WRITE, value=[]) + + # Invalid cases + assert not is_input_value_valid( + variable_type=SegmentType.ARRAY_STRING, operation=Operation.OVER_WRITE, value="not an array" + ) + assert not is_input_value_valid( + variable_type=SegmentType.ARRAY_STRING, operation=Operation.OVER_WRITE, value=[1, 2, 3] + ) + assert not is_input_value_valid( + variable_type=SegmentType.ARRAY_STRING, operation=Operation.OVER_WRITE, value=["valid", 123, "invalid"] + ) diff --git a/api/tests/unit_tests/models/test_conversation_variable.py b/api/tests/unit_tests/models/test_conversation_variable.py index b879afa3e7e99e..5d84a2ec85d39f 100644 --- a/api/tests/unit_tests/models/test_conversation_variable.py +++ b/api/tests/unit_tests/models/test_conversation_variable.py @@ -6,7 +6,7 @@ def test_from_variable_and_to_variable(): - variable = variable_factory.build_variable_from_mapping( + variable = variable_factory.build_conversation_variable_from_mapping( { "id": str(uuid4()), "name": "name", diff --git a/api/tests/unit_tests/models/test_workflow.py b/api/tests/unit_tests/models/test_workflow.py index 478fa8012bc7e7..fe56f18f1b1d05 100644 --- a/api/tests/unit_tests/models/test_workflow.py +++ b/api/tests/unit_tests/models/test_workflow.py @@ -24,10 +24,18 @@ def test_environment_variables(): ) # Create some EnvironmentVariable instances - variable1 = StringVariable.model_validate({"name": "var1", "value": "value1", "id": str(uuid4())}) - variable2 = IntegerVariable.model_validate({"name": "var2", "value": 123, "id": str(uuid4())}) - variable3 = SecretVariable.model_validate({"name": "var3", "value": "secret", "id": str(uuid4())}) - variable4 = FloatVariable.model_validate({"name": "var4", "value": 3.14, "id": str(uuid4())}) + variable1 = StringVariable.model_validate( + {"name": "var1", "value": "value1", "id": str(uuid4()), "selector": ["env", "var1"]} + ) + variable2 = IntegerVariable.model_validate( + {"name": "var2", "value": 123, "id": str(uuid4()), "selector": ["env", "var2"]} + ) + variable3 = SecretVariable.model_validate( + {"name": "var3", "value": "secret", "id": str(uuid4()), "selector": ["env", "var3"]} + ) + variable4 = FloatVariable.model_validate( + {"name": "var4", "value": 3.14, "id": str(uuid4()), "selector": ["env", "var4"]} + ) with ( mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), @@ -58,10 +66,18 @@ def test_update_environment_variables(): ) # Create some EnvironmentVariable instances - variable1 = StringVariable.model_validate({"name": "var1", "value": "value1", "id": str(uuid4())}) - variable2 = IntegerVariable.model_validate({"name": "var2", "value": 123, "id": str(uuid4())}) - variable3 = SecretVariable.model_validate({"name": "var3", "value": "secret", "id": str(uuid4())}) - variable4 = FloatVariable.model_validate({"name": "var4", "value": 3.14, "id": str(uuid4())}) + variable1 = StringVariable.model_validate( + {"name": "var1", "value": "value1", "id": str(uuid4()), "selector": ["env", "var1"]} + ) + variable2 = IntegerVariable.model_validate( + {"name": "var2", "value": 123, "id": str(uuid4()), "selector": ["env", "var2"]} + ) + variable3 = SecretVariable.model_validate( + {"name": "var3", "value": "secret", "id": str(uuid4()), "selector": ["env", "var3"]} + ) + variable4 = FloatVariable.model_validate( + {"name": "var4", "value": 3.14, "id": str(uuid4()), "selector": ["env", "var4"]} + ) with ( mock.patch("core.helper.encrypter.encrypt_token", return_value="encrypted_token"), diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml index aaca3c9c12b74d..e7a2daf9cdae58 100644 --- a/docker-legacy/docker-compose.yaml +++ b/docker-legacy/docker-compose.yaml @@ -2,7 +2,7 @@ version: '3' services: # API service api: - image: langgenius/dify-api:0.12.1 + image: langgenius/dify-api:0.13.1 restart: always environment: # Startup mode, 'api' starts the API server. @@ -210,7 +210,7 @@ services: SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128' SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128' # Indexing configuration - INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000 + INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 4000 depends_on: - db - redis @@ -227,7 +227,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.12.1 + image: langgenius/dify-api:0.13.1 restart: always environment: CONSOLE_WEB_URL: '' @@ -397,7 +397,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.12.1 + image: langgenius/dify-web:0.13.1 restart: always environment: # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is diff --git a/docker/.env.example b/docker/.env.example index 3be33f6338e92a..719a025877e449 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -683,7 +683,7 @@ SMTP_OPPORTUNISTIC_TLS=false # ------------------------------ # Maximum length of segmentation tokens for indexing -INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000 +INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000 # Member invitation link valid time (hours), # Default: 72. diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index aa3c810d3faff0..063813ad44ef1b 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -247,7 +247,7 @@ x-shared-env: &shared-api-worker-env SMTP_OPPORTUNISTIC_TLS: ${SMTP_OPPORTUNISTIC_TLS:-false} RESEND_API_KEY: ${RESEND_API_KEY:-your-resend-api-key} RESEND_API_URL: ${RESEND_API_URL:-https://api.resend.com} - INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-1000} + INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: ${INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH:-4000} INVITE_EXPIRY_HOURS: ${INVITE_EXPIRY_HOURS:-72} RESET_PASSWORD_TOKEN_EXPIRY_MINUTES: ${RESET_PASSWORD_TOKEN_EXPIRY_MINUTES:-5} CODE_EXECUTION_ENDPOINT: ${CODE_EXECUTION_ENDPOINT:-http://sandbox:8194} @@ -292,7 +292,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:0.12.1 + image: langgenius/dify-api:0.13.1 restart: always environment: # Use the shared environment variables. @@ -312,7 +312,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.12.1 + image: langgenius/dify-api:0.13.1 restart: always environment: # Use the shared environment variables. @@ -331,7 +331,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.12.1 + image: langgenius/dify-web:0.13.1 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} diff --git a/web/app/(commonLayout)/apps/AppCard.tsx b/web/app/(commonLayout)/apps/AppCard.tsx index 1ffb132cf8c186..fa5bcb596a214a 100644 --- a/web/app/(commonLayout)/apps/AppCard.tsx +++ b/web/app/(commonLayout)/apps/AppCard.tsx @@ -9,7 +9,7 @@ import s from './style.module.css' import cn from '@/utils/classnames' import type { App } from '@/types/app' import Confirm from '@/app/components/base/confirm' -import { ToastContext } from '@/app/components/base/toast' +import Toast, { ToastContext } from '@/app/components/base/toast' import { copyApp, deleteApp, exportAppConfig, updateAppInfo } from '@/service/apps' import DuplicateAppModal from '@/app/components/app/duplicate-modal' import type { DuplicateAppModalProps } from '@/app/components/app/duplicate-modal' @@ -31,6 +31,7 @@ import TagSelector from '@/app/components/base/tag-management/selector' import type { EnvironmentVariable } from '@/app/components/workflow/types' import DSLExportConfirmModal from '@/app/components/workflow/dsl-export-confirm-modal' import { fetchWorkflowDraft } from '@/service/workflow' +import { fetchInstalledAppList } from '@/service/explore' export type AppCardProps = { app: App @@ -209,6 +210,21 @@ const AppCard = ({ app, onRefresh }: AppCardProps) => { e.preventDefault() setShowConfirmDelete(true) } + const onClickInstalledApp = async (e: React.MouseEvent) => { + e.stopPropagation() + props.onClick?.() + e.preventDefault() + try { + const { installed_apps }: any = await fetchInstalledAppList(app.id) || {} + if (installed_apps?.length > 0) + window.open(`/explore/installed/${installed_apps[0].id}`, '_blank') + else + throw new Error('No app found in Explore') + } + catch (e: any) { + Toast.notify({ type: 'error', message: `${e.message || e}` }) + } + } return (
+
{ } popupClassName={ (app.mode === 'completion' || app.mode === 'chat') - ? '!w-[238px] translate-x-[-110px]' - : '' + ? '!w-[256px] translate-x-[-224px]' + : '!w-[160px] translate-x-[-128px]' } - className={'!w-[128px] h-fit !z-20'} + className={'h-fit !z-20'} />
diff --git a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx index a58027bcd12e02..b416659a6a1cfa 100644 --- a/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx +++ b/web/app/(commonLayout)/datasets/(datasetDetailLayout)/[datasetId]/layout.tsx @@ -166,7 +166,7 @@ const ExtraInfo = ({ isMobile, relatedApps }: IExtraInfoProps) => { className='inline-flex items-center text-xs text-primary-600 mt-2 cursor-pointer' href={ locale === LanguagesSupported[1] - ? 'https://docs.dify.ai/v/zh-hans/guides/knowledge-base/integrate_knowledge_within_application' + ? 'https://docs.dify.ai/v/zh-hans/guides/knowledge-base/integrate-knowledge-within-application' : 'https://docs.dify.ai/guides/knowledge-base/integrate-knowledge-within-application' } target='_blank' rel='noopener noreferrer' diff --git a/web/app/components/app/app-publisher/index.tsx b/web/app/components/app/app-publisher/index.tsx index 0558e299560396..3ba35a73369d37 100644 --- a/web/app/components/app/app-publisher/index.tsx +++ b/web/app/components/app/app-publisher/index.tsx @@ -5,7 +5,8 @@ import { } from 'react' import { useTranslation } from 'react-i18next' import dayjs from 'dayjs' -import { RiArrowDownSLine } from '@remixicon/react' +import { RiArrowDownSLine, RiPlanetLine } from '@remixicon/react' +import Toast from '../../base/toast' import type { ModelAndParameter } from '../configuration/debug/types' import SuggestedAction from './suggested-action' import PublishWithMultipleModel from './publish-with-multiple-model' @@ -15,6 +16,7 @@ import { PortalToFollowElemContent, PortalToFollowElemTrigger, } from '@/app/components/base/portal-to-follow-elem' +import { fetchInstalledAppList } from '@/service/explore' import EmbeddedModal from '@/app/components/app/overview/embedded' import { useStore as useAppStore } from '@/app/components/app/store' import { useGetLanguage } from '@/context/i18n' @@ -105,6 +107,19 @@ const AppPublisher = ({ setPublished(false) }, [disabled, onToggle, open]) + const handleOpenInExplore = useCallback(async () => { + try { + const { installed_apps }: any = await fetchInstalledAppList(appDetail?.id) || {} + if (installed_apps?.length > 0) + window.open(`/explore/installed/${installed_apps[0].id}`, '_blank') + else + throw new Error('No app found in Explore') + } + catch (e: any) { + Toast.notify({ type: 'error', message: `${e.message || e}` }) + } + }, [appDetail?.id]) + const [embeddingModalOpen, setEmbeddingModalOpen] = useState(false) return ( @@ -205,6 +220,15 @@ const AppPublisher = ({ {t('workflow.common.embedIntoSite')} )} + { + handleOpenInExplore() + }} + disabled={!publishedAt} + icon={} + > + {t('workflow.common.openInExplore')} + }>{t('workflow.common.accessAPIReference')} {appDetail?.mode === 'workflow' && ( = ({ query: message, inputs, model_config: configData, - parent_message_id: chatListRef.current.at(-1)?.id || null, + parent_message_id: getLastAnswer(chatListRef.current)?.id || null, } if ((config.file_upload as any).enabled && files?.length && supportVision) diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index 9a8cca43782eeb..978e83737b13e1 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -318,7 +318,7 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { const targetTone = TONE_LIST.find((item: any) => { let res = true validatedParams.forEach((param) => { - res = item.config?.[param] === detail.model_config?.configs?.completion_params?.[param] + res = item.config?.[param] === detail?.model_config.model?.completion_params?.[param] }) return res })?.name ?? 'custom' diff --git a/web/app/components/app/text-generate/item/index.tsx b/web/app/components/app/text-generate/item/index.tsx index e10350acc4161b..0c4f62282ef579 100644 --- a/web/app/components/app/text-generate/item/index.tsx +++ b/web/app/components/app/text-generate/item/index.tsx @@ -334,7 +334,7 @@ const GenerationItem: FC = ({ ) } - {(currentTab === 'RESULT' || !isWorkflow) && ( + {((currentTab === 'RESULT' && workflowProcessData?.resultText) || !isWorkflow) && ( { - if (data?.resultText) + if (data?.resultText || !!data?.files?.length) switchTab('RESULT') else switchTab('DETAIL') - }, [data?.resultText]) + }, [data?.files?.length, data?.resultText]) return (
- {data?.resultText && ( + {(data?.resultText || !!data?.files?.length) && (
{currentTab === 'RESULT' && ( <> - + {data?.resultText && } {!!data?.files?.length && ( - +
+ {data?.files.map((item: any) => ( +
+
{item.varName}
+ +
+ ))} +
)} )} diff --git a/web/app/components/app/workflow-log/index.tsx b/web/app/components/app/workflow-log/index.tsx index 5a8fa41a149497..453f2cd75adcc8 100644 --- a/web/app/components/app/workflow-log/index.tsx +++ b/web/app/components/app/workflow-log/index.tsx @@ -76,7 +76,7 @@ const Logs: FC = ({ appDetail }) => {

{t('appLog.workflowTitle')}

{t('appLog.workflowSubtitle')}

-
+
{/* workflow log */} {total === undefined diff --git a/web/app/components/base/app-icon-picker/Uploader.tsx b/web/app/components/base/app-icon-picker/ImageInput.tsx similarity index 89% rename from web/app/components/base/app-icon-picker/Uploader.tsx rename to web/app/components/base/app-icon-picker/ImageInput.tsx index ba0ef6b2b2178a..f26f5a1fcb91db 100644 --- a/web/app/components/base/app-icon-picker/Uploader.tsx +++ b/web/app/components/base/app-icon-picker/ImageInput.tsx @@ -11,16 +11,19 @@ import { useDraggableUploader } from './hooks' import { checkIsAnimatedImage } from './utils' import { ALLOW_FILE_EXTENSIONS } from '@/types/app' +export type OnImageInput = { + (isCropped: true, tempUrl: string, croppedAreaPixels: Area, fileName: string): void + (isCropped: false, file: File): void +} + type UploaderProps = { className?: string - onImageCropped?: (tempUrl: string, croppedAreaPixels: Area, fileName: string) => void - onUpload?: (file?: File) => void + onImageInput?: OnImageInput } -const Uploader: FC = ({ +const ImageInput: FC = ({ className, - onImageCropped, - onUpload, + onImageInput, }) => { const [inputImage, setInputImage] = useState<{ file: File; url: string }>() const [isAnimatedImage, setIsAnimatedImage] = useState(false) @@ -37,8 +40,7 @@ const Uploader: FC = ({ const onCropComplete = async (_: Area, croppedAreaPixels: Area) => { if (!inputImage) return - onImageCropped?.(inputImage.url, croppedAreaPixels, inputImage.file.name) - onUpload?.(undefined) + onImageInput?.(true, inputImage.url, croppedAreaPixels, inputImage.file.name) } const handleLocalFileInput = (e: ChangeEvent) => { @@ -48,7 +50,7 @@ const Uploader: FC = ({ checkIsAnimatedImage(file).then((isAnimatedImage) => { setIsAnimatedImage(!!isAnimatedImage) if (isAnimatedImage) - onUpload?.(file) + onImageInput?.(false, file) }) } } @@ -117,4 +119,4 @@ const Uploader: FC = ({ ) } -export default Uploader +export default ImageInput diff --git a/web/app/components/base/app-icon-picker/index.tsx b/web/app/components/base/app-icon-picker/index.tsx index 8a10d28653dcfa..277e2fa1d0862f 100644 --- a/web/app/components/base/app-icon-picker/index.tsx +++ b/web/app/components/base/app-icon-picker/index.tsx @@ -8,12 +8,14 @@ import Button from '../button' import { ImagePlus } from '../icons/src/vender/line/images' import { useLocalFileUploader } from '../image-uploader/hooks' import EmojiPickerInner from '../emoji-picker/Inner' -import Uploader from './Uploader' +import type { OnImageInput } from './ImageInput' +import ImageInput from './ImageInput' import s from './style.module.css' import getCroppedImg from './utils' import type { AppIconType, ImageFile } from '@/types/app' import cn from '@/utils/classnames' import { DISABLE_UPLOAD_IMAGE_AS_ICON } from '@/config' + export type AppIconEmojiSelection = { type: 'emoji' icon: string @@ -69,14 +71,15 @@ const AppIconPicker: FC = ({ }, }) - const [imageCropInfo, setImageCropInfo] = useState<{ tempUrl: string; croppedAreaPixels: Area; fileName: string }>() - const handleImageCropped = async (tempUrl: string, croppedAreaPixels: Area, fileName: string) => { - setImageCropInfo({ tempUrl, croppedAreaPixels, fileName }) - } + type InputImageInfo = { file: File } | { tempUrl: string; croppedAreaPixels: Area; fileName: string } + const [inputImageInfo, setInputImageInfo] = useState() - const [uploadImageInfo, setUploadImageInfo] = useState<{ file?: File }>() - const handleUpload = async (file?: File) => { - setUploadImageInfo({ file }) + const handleImageInput: OnImageInput = async (isCropped: boolean, fileOrTempUrl: string | File, croppedAreaPixels?: Area, fileName?: string) => { + setInputImageInfo( + isCropped + ? { tempUrl: fileOrTempUrl as string, croppedAreaPixels: croppedAreaPixels!, fileName: fileName! } + : { file: fileOrTempUrl as File }, + ) } const handleSelect = async () => { @@ -90,15 +93,15 @@ const AppIconPicker: FC = ({ } } else { - if (!imageCropInfo && !uploadImageInfo) + if (!inputImageInfo) return setUploading(true) - if (imageCropInfo.file) { - handleLocalFileUpload(imageCropInfo.file) + if ('file' in inputImageInfo) { + handleLocalFileUpload(inputImageInfo.file) return } - const blob = await getCroppedImg(imageCropInfo.tempUrl, imageCropInfo.croppedAreaPixels, imageCropInfo.fileName) - const file = new File([blob], imageCropInfo.fileName, { type: blob.type }) + const blob = await getCroppedImg(inputImageInfo.tempUrl, inputImageInfo.croppedAreaPixels, inputImageInfo.fileName) + const file = new File([blob], inputImageInfo.fileName, { type: blob.type }) handleLocalFileUpload(file) } } @@ -127,10 +130,8 @@ const AppIconPicker: FC = ({
} - - - - + +
diff --git a/web/app/components/base/app-icon-picker/utils.ts b/web/app/components/base/app-icon-picker/utils.ts index 99154d56da3097..f63b75eaa10572 100644 --- a/web/app/components/base/app-icon-picker/utils.ts +++ b/web/app/components/base/app-icon-picker/utils.ts @@ -116,12 +116,12 @@ export default async function getCroppedImg( }) } -export function checkIsAnimatedImage(file) { +export function checkIsAnimatedImage(file: File): Promise { return new Promise((resolve, reject) => { const fileReader = new FileReader() fileReader.onload = function (e) { - const arr = new Uint8Array(e.target.result) + const arr = new Uint8Array(e.target?.result as ArrayBuffer) // Check file extension const fileName = file.name.toLowerCase() @@ -148,7 +148,7 @@ export function checkIsAnimatedImage(file) { } // Function to check for WebP signature -function isWebP(arr) { +function isWebP(arr: Uint8Array) { return ( arr[0] === 0x52 && arr[1] === 0x49 && arr[2] === 0x46 && arr[3] === 0x46 && arr[8] === 0x57 && arr[9] === 0x45 && arr[10] === 0x42 && arr[11] === 0x50 @@ -156,7 +156,7 @@ function isWebP(arr) { } // Function to check if the WebP is animated (contains ANIM chunk) -function checkWebPAnimation(arr) { +function checkWebPAnimation(arr: Uint8Array) { // Search for the ANIM chunk in WebP to determine if it's animated for (let i = 12; i < arr.length - 4; i++) { if (arr[i] === 0x41 && arr[i + 1] === 0x4E && arr[i + 2] === 0x49 && arr[i + 3] === 0x4D) diff --git a/web/app/components/base/badge.tsx b/web/app/components/base/badge.tsx index c3300a1e67e590..722fde3237b82e 100644 --- a/web/app/components/base/badge.tsx +++ b/web/app/components/base/badge.tsx @@ -15,7 +15,7 @@ const Badge = ({ return (
= ({ }, [onSelect, selectedEmoji, selectedBackground]) return
-
+