import json
import logging
from collections.abc import Generator

import requests
from flask import request
from flask_restful import Resource, reqparse  # type: ignore
from werkzeug.exceptions import BadRequest, InternalServerError, NotFound

import services
from controllers.service_api import api
from controllers.service_api.app.error import (
    AppUnavailableError,
    CompletionRequestError,
    ConversationCompletedError,
    NotChatAppError,
    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.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.helper import uuid_value
from models.model import App, AppMode, EndUser
from services.app_generate_service import AppGenerateService
from services.errors.llm import InvokeRateLimitError


class CompletionApi(Resource):
    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
    def post(self, app_model: App, end_user: EndUser):
        if app_model.mode != "completion":
            raise AppUnavailableError()

        parser = reqparse.RequestParser()
        parser.add_argument("inputs", type=dict, required=True, location="json")
        parser.add_argument("query", type=str, location="json", default="")
        parser.add_argument("files", type=list, required=False, location="json")
        parser.add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json")
        parser.add_argument("retriever_from", type=str, required=False, default="dev", location="json")

        args = parser.parse_args()

        streaming = args["response_mode"] == "streaming"

        args["auto_generate_name"] = False

        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 services.errors.conversation.ConversationNotExistsError:
            raise NotFound("Conversation Not Exists.")
        except services.errors.conversation.ConversationCompletedError:
            raise ConversationCompletedError()
        except services.errors.app_model_config.AppModelConfigBrokenError:
            logging.exception("App model config broken.")
            raise AppUnavailableError()
        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 ValueError as e:
            raise e
        except Exception:
            logging.exception("internal server error.")
            raise InternalServerError()


class CompletionStopApi(Resource):
    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
    def post(self, app_model: App, end_user: EndUser, task_id):
        if app_model.mode != "completion":
            raise AppUnavailableError()

        AppQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)

        return {"result": "success"}, 200


class ChatApi(Resource):
    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
    def post(self, app_model: App, end_user: EndUser):
        app_mode = AppMode.value_of(app_model.mode)
        if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
            raise NotChatAppError()

        parser = reqparse.RequestParser()
        parser.add_argument("inputs", type=dict, required=True, location="json")
        parser.add_argument("query", type=str, required=True, location="json")
        parser.add_argument("files", type=list, required=False, location="json")
        parser.add_argument("response_mode", type=str, choices=["blocking", "streaming"], location="json")
        parser.add_argument("conversation_id", type=uuid_value, location="json")
        parser.add_argument("retriever_from", type=str, required=False, default="dev", location="json")
        parser.add_argument("auto_generate_name", type=bool, required=False, default=True, location="json")

        args = parser.parse_args()

        streaming = args["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 services.errors.conversation.ConversationNotExistsError:
            raise NotFound("Conversation Not Exists.")
        except services.errors.conversation.ConversationCompletedError:
            raise ConversationCompletedError()
        except services.errors.app_model_config.AppModelConfigBrokenError:
            logging.exception("App model config broken.")
            raise AppUnavailableError()
        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:
            logging.exception("internal server error.")
            raise InternalServerError()


class ChatStopApi(Resource):
    @validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON, required=True))
    def post(self, app_model: App, end_user: EndUser, task_id):
        app_mode = AppMode.value_of(app_model.mode)
        if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
            raise NotChatAppError()

        AppQueueManager.set_stop_flag(task_id, InvokeFrom.SERVICE_API, end_user.id)

        return {"result": "success"}, 200

class ChatApiForRobot(Resource):

    def post(self):
        parser = reqparse.RequestParser()
        parser.add_argument("id", type=str, required=True, location="json")
        parser.add_argument("enterprise_id", type=str, required=False, location="json")
        parser.add_argument("device_id", type=str, required=False, location="json")
        parser.add_argument("messages", type=list, required=True, location="json")
        parser.add_argument("max_tokens", type=int, required=True, location="json")
        parser.add_argument("stream", type=bool, required=True, location="json")
        args = parser.parse_args()

        messages = args["messages"]
        if messages is None or len(messages) == 0:
            raise BadRequest("messages is empty.")

        id = args["id"]
        query = messages[len(messages) - 1]["content"]
        response_mode = "streaming" if args["stream"] else "blocking"
        device_id = args["device_id"]
        data = {
            "inputs": {},
            "query": query,
            "response_mode": response_mode,
            "conversation_id": "",
            "user": device_id if device_id else "abc-123",
            "files": []
        }

        chat_message_url = request.host_url + "v1/chat-messages"
        logging.info("Sending request to %s", chat_message_url)
        response = requests.post(chat_message_url, data = json.dumps(data), headers = request.headers)

        if args["stream"]:
            def after_response_generator():
                i = 0
                for line in response.iter_lines():
                    line_str = line.decode("utf-8")
                    if not line_str.startswith('data:'):
                        continue

                    content = json.loads(line_str[6:])
                    event = content["event"]
                    if event not in ["message", "message_end"]:
                        continue

                    new_content = {
                        "id": id,
                        "model": "advanced-chat",
                        "created": content["created_at"],
                        "choices": [],
                    }

                    if i == 0:
                        choice = {
                            "index": 0,
                            "delta": {
                                "role": "assistant",
                                "content": ""
                            },
                            "finish_reason": None
                        }
                        new_content["choices"].append(choice)
                        yield f"id: {i}\ndata: {json.dumps(new_content)}\n\n"
                        new_content["choices"].pop()

                    i = i + 1
                    if content["event"] == "message":
                        choice = {
                            "index": 0,
                            "delta": {
                                "content": content["answer"]
                            },
                            "finish_reason": None
                        }
                        new_content["choices"].append(choice)
                    else:
                        choice = {
                            "index": 0,
                            "delta": {},
                            "finish_reason": "stop"
                        }
                        new_content["choices"].append(choice)

                    yield f"id: {i}\ndata: {json.dumps(new_content)}\n\n"

            new_response = after_response_generator()

            def generate() -> Generator:
                yield from new_response

            return helper.compact_generate_response(generate())
        else:
            content = json.loads(response.text)
            new_response = {
                "id": id,
                "model": "advanced-chat",
                "created": content["created_at"],
                "answer": content ["answer"],
            }
            return new_response

api.add_resource(CompletionApi, "/completion-messages")
api.add_resource(CompletionStopApi, "/completion-messages/<string:task_id>/stop")
api.add_resource(ChatApi, "/chat-messages")
api.add_resource(ChatStopApi, "/chat-messages/<string:task_id>/stop")

api.add_resource(ChatApiForRobot, "/chat-messages-for-robot")