import logging
import threading
import uuid
from collections.abc import Generator
from typing import Any, Union

from flask import Flask, current_app
from pydantic import ValidationError

from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter
from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfigManager
from core.app.apps.agent_chat.app_runner import AgentChatAppRunner
from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedException, PublishFrom
from core.app.apps.message_based_app_generator import MessageBasedAppGenerator
from core.app.apps.message_based_app_queue_manager import MessageBasedAppQueueManager
from core.app.entities.app_invoke_entities import AgentChatAppGenerateEntity, InvokeFrom
from core.file.message_file_parser import MessageFileParser
from core.model_runtime.errors.invoke import InvokeAuthorizationError, InvokeError
from extensions.ext_database import db
from models.account import Account
from models.model import App, EndUser

logger = logging.getLogger(__name__)


class AgentChatAppGenerator(MessageBasedAppGenerator):
    def generate(self, app_model: App,
                 user: Union[Account, EndUser],
                 args: Any,
                 invoke_from: InvokeFrom,
                 stream: bool = True) \
            -> Union[dict, Generator]:
        """
        Generate App response.

        :param app_model: App
        :param user: account or end user
        :param args: request args
        :param invoke_from: invoke from source
        :param stream: is stream
        """
        if not args.get('query'):
            raise ValueError('query is required')

        query = args['query']
        if not isinstance(query, str):
            raise ValueError('query must be a string')

        query = query.replace('\x00', '')
        inputs = args['inputs']

        extras = {
            "auto_generate_conversation_name": args['auto_generate_name'] if 'auto_generate_name' in args else True
        }

        # get conversation
        conversation = None
        if args.get('conversation_id'):
            conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user)

        # get app model config
        app_model_config = self._get_app_model_config(
            app_model=app_model,
            conversation=conversation
        )

        # validate override model config
        override_model_config_dict = None
        if args.get('model_config'):
            if invoke_from != InvokeFrom.DEBUGGER:
                raise ValueError('Only in App debug mode can override model config')

            # validate config
            override_model_config_dict = AgentChatAppConfigManager.config_validate(
                tenant_id=app_model.tenant_id,
                config=args.get('model_config')
            )

        # parse files
        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_upload_entity = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_upload_entity:
            file_objs = message_file_parser.validate_and_transform_files_arg(
                files,
                file_upload_entity,
                user
            )
        else:
            file_objs = []

        # convert to app config
        app_config = AgentChatAppConfigManager.get_app_config(
            app_model=app_model,
            app_model_config=app_model_config,
            conversation=conversation,
            override_config_dict=override_model_config_dict
        )

        # init application generate entity
        application_generate_entity = AgentChatAppGenerateEntity(
            task_id=str(uuid.uuid4()),
            app_config=app_config,
            model_config=ModelConfigConverter.convert(app_config),
            conversation_id=conversation.id if conversation else None,
            inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config),
            query=query,
            files=file_objs,
            user_id=user.id,
            stream=stream,
            invoke_from=invoke_from,
            extras=extras
        )

        # init generate records
        (
            conversation,
            message
        ) = self._init_generate_records(application_generate_entity, conversation)

        # init queue manager
        queue_manager = MessageBasedAppQueueManager(
            task_id=application_generate_entity.task_id,
            user_id=application_generate_entity.user_id,
            invoke_from=application_generate_entity.invoke_from,
            conversation_id=conversation.id,
            app_mode=conversation.mode,
            message_id=message.id
        )

        # new thread
        worker_thread = threading.Thread(target=self._generate_worker, kwargs={
            'flask_app': current_app._get_current_object(),
            'application_generate_entity': application_generate_entity,
            'queue_manager': queue_manager,
            'conversation_id': conversation.id,
            'message_id': message.id,
        })

        worker_thread.start()

        # return response or stream generator
        return self._handle_response(
            application_generate_entity=application_generate_entity,
            queue_manager=queue_manager,
            conversation=conversation,
            message=message,
            stream=stream
        )

    def _generate_worker(self, flask_app: Flask,
                         application_generate_entity: AgentChatAppGenerateEntity,
                         queue_manager: AppQueueManager,
                         conversation_id: str,
                         message_id: str) -> None:
        """
        Generate worker in a new thread.
        :param flask_app: Flask app
        :param application_generate_entity: application generate entity
        :param queue_manager: queue manager
        :param conversation_id: conversation ID
        :param message_id: message ID
        :return:
        """
        with flask_app.app_context():
            try:
                # get conversation and message
                conversation = self._get_conversation(conversation_id)
                message = self._get_message(message_id)

                # chatbot app
                runner = AgentChatAppRunner()
                runner.run(
                    application_generate_entity=application_generate_entity,
                    queue_manager=queue_manager,
                    conversation=conversation,
                    message=message
                )
            except GenerateTaskStoppedException:
                pass
            except InvokeAuthorizationError:
                queue_manager.publish_error(
                    InvokeAuthorizationError('Incorrect API key provided'),
                    PublishFrom.APPLICATION_MANAGER
                )
            except ValidationError as e:
                logger.exception("Validation Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
            except (ValueError, InvokeError) as e:
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
            except Exception as e:
                logger.exception("Unknown Error when generating")
                queue_manager.publish_error(e, PublishFrom.APPLICATION_MANAGER)
            finally:
                db.session.close()
