Asuka Minato 05fe92a541
refactor: port reqparse to BaseModel (#28993)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
2025-12-08 15:31:19 +09:00

313 lines
12 KiB
Python

import logging
from typing import Any, Literal
from dateutil.parser import isoparse
from flask import request
from flask_restx import Api, Namespace, Resource, fields
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session, sessionmaker
from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
from controllers.common.schema import register_schema_models
from controllers.service_api import service_api_ns
from controllers.service_api.app.error import (
CompletionRequestError,
NotWorkflowAppError,
ProviderModelCurrentlyNotSupportError,
ProviderNotInitializeError,
ProviderQuotaExceededError,
)
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
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.helper.trace_id_helper import get_external_trace_id
from core.model_runtime.errors.invoke import InvokeError
from core.workflow.enums import WorkflowExecutionStatus
from core.workflow.graph_engine.manager import GraphEngineManager
from extensions.ext_database import db
from fields.workflow_app_log_fields import build_workflow_app_log_pagination_model
from libs import helper
from libs.helper import TimestampField
from models.model import App, AppMode, EndUser
from repositories.factory import DifyAPIRepositoryFactory
from services.app_generate_service import AppGenerateService
from services.errors.app import IsDraftWorkflowError, WorkflowIdFormatError, WorkflowNotFoundError
from services.errors.llm import InvokeRateLimitError
from services.workflow_app_service import WorkflowAppService
logger = logging.getLogger(__name__)
class WorkflowRunPayload(BaseModel):
inputs: dict[str, Any]
files: list[dict[str, Any]] | None = None
response_mode: Literal["blocking", "streaming"] | None = None
class WorkflowLogQuery(BaseModel):
keyword: str | None = None
status: Literal["succeeded", "failed", "stopped"] | None = None
created_at__before: str | None = None
created_at__after: str | None = None
created_by_end_user_session_id: str | None = None
created_by_account: str | None = None
page: int = Field(default=1, ge=1, le=99999)
limit: int = Field(default=20, ge=1, le=100)
register_schema_models(service_api_ns, WorkflowRunPayload, WorkflowLogQuery)
workflow_run_fields = {
"id": fields.String,
"workflow_id": fields.String,
"status": fields.String,
"inputs": fields.Raw,
"outputs": fields.Raw,
"error": fields.String,
"total_steps": fields.Integer,
"total_tokens": fields.Integer,
"created_at": TimestampField,
"finished_at": TimestampField,
"elapsed_time": fields.Float,
}
def build_workflow_run_model(api_or_ns: Api | Namespace):
"""Build the workflow run model for the API or Namespace."""
return api_or_ns.model("WorkflowRun", workflow_run_fields)
@service_api_ns.route("/workflows/run/<string:workflow_run_id>")
class WorkflowRunDetailApi(Resource):
@service_api_ns.doc("get_workflow_run_detail")
@service_api_ns.doc(description="Get workflow run details")
@service_api_ns.doc(params={"workflow_run_id": "Workflow run ID"})
@service_api_ns.doc(
responses={
200: "Workflow run details retrieved successfully",
401: "Unauthorized - invalid API token",
404: "Workflow run not found",
}
)
@validate_app_token
@service_api_ns.marshal_with(build_workflow_run_model(service_api_ns))
def get(self, app_model: App, workflow_run_id: str):
"""Get a workflow task running detail.
Returns detailed information about a specific workflow run.
"""
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]:
raise NotWorkflowAppError()
# Use repository to get workflow run
session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
workflow_run_repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
workflow_run = workflow_run_repo.get_workflow_run_by_id(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
run_id=workflow_run_id,
)
return workflow_run
@service_api_ns.route("/workflows/run")
class WorkflowRunApi(Resource):
@service_api_ns.expect(service_api_ns.models[WorkflowRunPayload.__name__])
@service_api_ns.doc("run_workflow")
@service_api_ns.doc(description="Execute a workflow")
@service_api_ns.doc(
responses={
200: "Workflow executed successfully",
400: "Bad request - invalid parameters or workflow issues",
401: "Unauthorized - invalid API token",
404: "Workflow not found",
429: "Rate limit exceeded",
500: "Internal server error",
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
def post(self, app_model: App, end_user: EndUser):
"""Execute a workflow.
Runs a workflow with the provided inputs and returns the results.
Supports both blocking and streaming response modes.
"""
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
raise NotWorkflowAppError()
payload = WorkflowRunPayload.model_validate(service_api_ns.payload or {})
args = payload.model_dump(exclude_none=True)
external_trace_id = get_external_trace_id(request)
if external_trace_id:
args["external_trace_id"] = external_trace_id
streaming = payload.response_mode == "streaming"
try:
response = AppGenerateService.generate(
app_model=app_model, user=end_user, args=args, invoke_from=InvokeFrom.SERVICE_API, streaming=streaming
)
return helper.compact_generate_response(response)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except InvokeRateLimitError as ex:
raise InvokeRateLimitHttpError(ex.description)
except InvokeError as e:
raise CompletionRequestError(e.description)
except ValueError as e:
raise e
except Exception:
logger.exception("internal server error.")
raise InternalServerError()
@service_api_ns.route("/workflows/<string:workflow_id>/run")
class WorkflowRunByIdApi(Resource):
@service_api_ns.expect(service_api_ns.models[WorkflowRunPayload.__name__])
@service_api_ns.doc("run_workflow_by_id")
@service_api_ns.doc(description="Execute a specific workflow by ID")
@service_api_ns.doc(params={"workflow_id": "Workflow ID to execute"})
@service_api_ns.doc(
responses={
200: "Workflow executed successfully",
400: "Bad request - invalid parameters or workflow issues",
401: "Unauthorized - invalid API token",
404: "Workflow not found",
429: "Rate limit exceeded",
500: "Internal server error",
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
def post(self, app_model: App, end_user: EndUser, workflow_id: str):
"""Run specific workflow by ID.
Executes a specific workflow version identified by its ID.
"""
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
raise NotWorkflowAppError()
payload = WorkflowRunPayload.model_validate(service_api_ns.payload or {})
args = payload.model_dump(exclude_none=True)
# Add workflow_id to args for AppGenerateService
args["workflow_id"] = workflow_id
external_trace_id = get_external_trace_id(request)
if external_trace_id:
args["external_trace_id"] = external_trace_id
streaming = payload.response_mode == "streaming"
try:
response = AppGenerateService.generate(
app_model=app_model, user=end_user, args=args, invoke_from=InvokeFrom.SERVICE_API, streaming=streaming
)
return helper.compact_generate_response(response)
except WorkflowNotFoundError as ex:
raise NotFound(str(ex))
except IsDraftWorkflowError as ex:
raise BadRequest(str(ex))
except WorkflowIdFormatError as ex:
raise BadRequest(str(ex))
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except InvokeRateLimitError as ex:
raise InvokeRateLimitHttpError(ex.description)
except InvokeError as e:
raise CompletionRequestError(e.description)
except ValueError as e:
raise e
except Exception:
logger.exception("internal server error.")
raise InternalServerError()
@service_api_ns.route("/workflows/tasks/<string:task_id>/stop")
class WorkflowTaskStopApi(Resource):
@service_api_ns.doc("stop_workflow_task")
@service_api_ns.doc(description="Stop a running workflow task")
@service_api_ns.doc(params={"task_id": "Task ID to stop"})
@service_api_ns.doc(
responses={
200: "Task stopped successfully",
401: "Unauthorized - invalid API token",
404: "Task not found",
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
def post(self, app_model: App, end_user: EndUser, task_id: str):
"""Stop a running workflow task."""
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"}
@service_api_ns.route("/workflows/logs")
class WorkflowAppLogApi(Resource):
@service_api_ns.expect(service_api_ns.models[WorkflowLogQuery.__name__])
@service_api_ns.doc("get_workflow_logs")
@service_api_ns.doc(description="Get workflow execution logs")
@service_api_ns.doc(
responses={
200: "Logs retrieved successfully",
401: "Unauthorized - invalid API token",
}
)
@validate_app_token
@service_api_ns.marshal_with(build_workflow_app_log_pagination_model(service_api_ns))
def get(self, app_model: App):
"""Get workflow app logs.
Returns paginated workflow execution logs with filtering options.
"""
args = WorkflowLogQuery.model_validate(request.args.to_dict())
status = WorkflowExecutionStatus(args.status) if args.status else None
created_at_before = isoparse(args.created_at__before) if args.created_at__before else None
created_at_after = isoparse(args.created_at__after) if args.created_at__after else None
# get paginate workflow app logs
workflow_app_service = WorkflowAppService()
with Session(db.engine) as session:
workflow_app_log_pagination = workflow_app_service.get_paginate_workflow_app_logs(
session=session,
app_model=app_model,
keyword=args.keyword,
status=status,
created_at_before=created_at_before,
created_at_after=created_at_after,
page=args.page,
limit=args.limit,
created_by_end_user_session_id=args.created_by_end_user_session_id,
created_by_account=args.created_by_account,
)
return workflow_app_log_pagination