dify/api/services/workflow_service.py

import json
from collections.abc import Generator
from datetime import datetime
from typing import Optional, Union

from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager
from core.app.apps.advanced_chat.app_generator import AdvancedChatAppGenerator
from core.app.apps.workflow.app_config_manager import WorkflowAppConfigManager
from core.app.entities.app_invoke_entities import InvokeFrom
from core.workflow.entities.node_entities import NodeType
from core.workflow.workflow_engine_manager import WorkflowEngineManager
from extensions.ext_database import db
from models.account import Account
from models.model import App, AppMode, EndUser
from models.workflow import Workflow, WorkflowType
from services.workflow.workflow_converter import WorkflowConverter


class WorkflowService:
    """
    Workflow Service
    """

    def get_draft_workflow(self, app_model: App) -> Optional[Workflow]:
        """
        Get draft workflow
        """
        workflow_engine_manager = WorkflowEngineManager()

        # return draft workflow
        return workflow_engine_manager.get_draft_workflow(app_model=app_model)

    def get_published_workflow(self, app_model: App) -> Optional[Workflow]:
        """
        Get published workflow
        """
        if not app_model.workflow_id:
            return None

        workflow_engine_manager = WorkflowEngineManager()

        # return published workflow
        return workflow_engine_manager.get_published_workflow(app_model=app_model)

    def sync_draft_workflow(self, app_model: App,
                            graph: dict,
                            features: dict,
                            account: Account) -> Workflow:
        """
        Sync draft workflow
        """
        # fetch draft workflow by app_model
        workflow = self.get_draft_workflow(app_model=app_model)

        # validate features structure
        self.validate_features_structure(
            app_model=app_model,
            features=features
        )

        # create draft workflow if not found
        if not workflow:
            workflow = Workflow(
                tenant_id=app_model.tenant_id,
                app_id=app_model.id,
                type=WorkflowType.from_app_mode(app_model.mode).value,
                version='draft',
                graph=json.dumps(graph),
                features=json.dumps(features),
                created_by=account.id
            )
            db.session.add(workflow)
        # update draft workflow if found
        else:
            workflow.graph = json.dumps(graph)
            workflow.features = json.dumps(features)
            workflow.updated_by = account.id
            workflow.updated_at = datetime.utcnow()

        # commit db session changes
        db.session.commit()

        # return draft workflow
        return workflow

    def publish_workflow(self, app_model: App,
                         account: Account,
                         draft_workflow: Optional[Workflow] = None) -> Workflow:
        """
        Publish workflow from draft

        :param app_model: App instance
        :param account: Account instance
        :param draft_workflow: Workflow instance
        """
        if not draft_workflow:
            # fetch draft workflow by app_model
            draft_workflow = self.get_draft_workflow(app_model=app_model)

        if not draft_workflow:
            raise ValueError('No valid workflow found.')

        # TODO check if the workflow structure is valid

        # create new workflow
        workflow = Workflow(
            tenant_id=app_model.tenant_id,
            app_id=app_model.id,
            type=draft_workflow.type,
            version=str(datetime.utcnow()),
            graph=draft_workflow.graph,
            created_by=account.id
        )

        # commit db session changes
        db.session.add(workflow)
        db.session.commit()

        app_model.workflow_id = workflow.id
        db.session.commit()

        # TODO update app related datasets

        # return new workflow
        return workflow

    def get_default_block_configs(self) -> list[dict]:
        """
        Get default block configs
        """
        # return default block config
        workflow_engine_manager = WorkflowEngineManager()
        return workflow_engine_manager.get_default_configs()

    def get_default_block_config(self, node_type: str, filters: Optional[dict] = None) -> Optional[dict]:
        """
        Get default config of node.
        :param node_type: node type
        :param filters: filter by node config parameters.
        :return:
        """
        node_type = NodeType.value_of(node_type)

        # return default block config
        workflow_engine_manager = WorkflowEngineManager()
        return workflow_engine_manager.get_default_config(node_type, filters)

    def run_advanced_chat_draft_workflow(self, app_model: App,
                                         user: Union[Account, EndUser],
                                         args: dict,
                                         invoke_from: InvokeFrom) -> Union[dict, Generator]:
        """
        Run advanced chatbot draft workflow
        """
        # fetch draft workflow by app_model
        draft_workflow = self.get_draft_workflow(app_model=app_model)

        if not draft_workflow:
            raise ValueError('Workflow not initialized')

        # run draft workflow
        app_generator = AdvancedChatAppGenerator()
        response = app_generator.generate(
            app_model=app_model,
            workflow=draft_workflow,
            user=user,
            args=args,
            invoke_from=invoke_from,
            stream=True
        )

        return response

    def run_draft_workflow(self, app_model: App,
                           user: Union[Account, EndUser],
                           args: dict,
                           invoke_from: InvokeFrom) -> Union[dict, Generator]:
        # TODO
        pass

    def convert_to_workflow(self, app_model: App, account: Account) -> App:
        """
        Basic mode of chatbot app(expert mode) to workflow
        Completion App to Workflow App

        :param app_model: App instance
        :param account: Account instance
        :return:
        """
        # chatbot convert to workflow mode
        workflow_converter = WorkflowConverter()

        if app_model.mode not in [AppMode.CHAT.value, AppMode.COMPLETION.value]:
            raise ValueError(f'Current App mode: {app_model.mode} is not supported convert to workflow.')

        # convert to workflow
        new_app = workflow_converter.convert_to_workflow(
            app_model=app_model,
            account=account
        )

        return new_app

    def validate_features_structure(self, app_model: App, features: dict) -> dict:
        if app_model.mode == AppMode.ADVANCED_CHAT.value:
            return AdvancedChatAppConfigManager.config_validate(
                tenant_id=app_model.tenant_id,
                config=features,
                only_structure_validate=True
            )
        elif app_model.mode == AppMode.WORKFLOW.value:
            return WorkflowAppConfigManager.config_validate(
                tenant_id=app_model.tenant_id,
                config=features,
                only_structure_validate=True
            )
        else:
            raise ValueError(f"Invalid app mode: {app_model.mode}")