import logging from typing import Any from pydantic import BaseModel from werkzeug.exceptions import InternalServerError from controllers.common.schema import register_schema_model from controllers.console.app.error import ( CompletionRequestError, ProviderModelCurrentlyNotSupportError, ProviderNotInitializeError, ProviderQuotaExceededError, ) from controllers.console.explore.error import NotWorkflowAppError from controllers.console.explore.wraps import InstalledAppResource from controllers.web.error import InvokeRateLimitError as InvokeRateLimitHttpError from core.app.apps.base_app_queue_manager import AppQueueManager from core.app.entities.app_invoke_entities import InvokeFrom from core.errors.error import ( ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError, ) from core.model_runtime.errors.invoke import InvokeError from core.workflow.graph_engine.manager import GraphEngineManager from libs import helper from libs.login import current_account_with_tenant from models.model import AppMode, InstalledApp from services.app_generate_service import AppGenerateService from services.errors.llm import InvokeRateLimitError from .. import console_ns logger = logging.getLogger(__name__) class WorkflowRunPayload(BaseModel): inputs: dict[str, Any] files: list[dict[str, Any]] | None = None register_schema_model(console_ns, WorkflowRunPayload) @console_ns.route("/installed-apps//workflows/run") class InstalledAppWorkflowRunApi(InstalledAppResource): @console_ns.expect(console_ns.models[WorkflowRunPayload.__name__]) def post(self, installed_app: InstalledApp): """ Run workflow """ current_user, _ = current_account_with_tenant() app_model = installed_app.app if not app_model: raise NotWorkflowAppError() app_mode = AppMode.value_of(app_model.mode) if app_mode != AppMode.WORKFLOW: raise NotWorkflowAppError() payload = WorkflowRunPayload.model_validate(console_ns.payload or {}) args = payload.model_dump(exclude_none=True) try: response = AppGenerateService.generate( app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.EXPLORE, streaming=True ) return helper.compact_generate_response(response) except ProviderTokenNotInitError as ex: raise ProviderNotInitializeError(ex.description) except QuotaExceededError: raise ProviderQuotaExceededError() except ModelCurrentlyNotSupportError: raise ProviderModelCurrentlyNotSupportError() except InvokeError as e: raise CompletionRequestError(e.description) except InvokeRateLimitError as ex: raise InvokeRateLimitHttpError(ex.description) except ValueError as e: raise e except Exception: logger.exception("internal server error.") raise InternalServerError() @console_ns.route("/installed-apps//workflows/tasks//stop") class InstalledAppWorkflowTaskStopApi(InstalledAppResource): def post(self, installed_app: InstalledApp, task_id: str): """ Stop workflow task """ app_model = installed_app.app if not app_model: raise NotWorkflowAppError() app_mode = AppMode.value_of(app_model.mode) if app_mode != AppMode.WORKFLOW: raise NotWorkflowAppError() # Stop using both mechanisms for backward compatibility # Legacy stop flag mechanism (without user check) AppQueueManager.set_stop_flag_no_user_check(task_id) # New graph engine command channel mechanism GraphEngineManager.send_stop_command(task_id) return {"result": "success"}