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 dify_graph.graph_engine.manager import GraphEngineManager
from dify_graph.model_runtime.errors.invoke import InvokeError
from extensions.ext_redis import redis_client
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/<uuid:installed_app_id>/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/<uuid:installed_app_id>/workflows/tasks/<string:task_id>/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(redis_client).send_stop_command(task_id)

        return {"result": "success"}
