from typing import Tuple

import flask
from flask import jsonify, request

from llm_server import opts
from llm_server.database.database import do_db_log
from llm_server.database.log_to_db import log_to_db
from llm_server.routes.helpers.client import format_sillytavern_err
from llm_server.routes.request_handler import RequestHandler


class OobaRequestHandler(RequestHandler):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def handle_request(self, return_ok: bool = True):
        assert not self.used
        if self.offline:
            msg = 'The model you requested is not a valid choice. Please retry your query.'
            print(msg)
            self.handle_error(msg)

        request_valid, invalid_response = self.validate_request()
        if not request_valid:
            return invalid_response

        # Reconstruct the request JSON with the validated parameters and prompt.
        prompt = self.request_json_body.get('prompt', '')
        llm_request = {**self.parameters, 'prompt': prompt}

        _, backend_response = self.generate_response(llm_request)
        if return_ok:
            # Always return 200 so ST displays our error messages
            return backend_response[0], 200
        else:
            # The OpenAI route needs to detect 429 errors.
            return backend_response

    def handle_ratelimited(self, do_log: bool = True):
        msg = f'Ratelimited: you are only allowed to have {opts.simultaneous_requests_per_ip} simultaneous requests at a time. Please complete your other requests before sending another.'
        backend_response = self.handle_error(msg)
        if do_log:
            log_to_db(self.client_ip, self.token, self.request_json_body.get('prompt', ''), backend_response[0].data.decode('utf-8'), None, self.parameters, dict(self.request.headers), 429, self.request.url, self.backend_url, is_error=True)
        return backend_response[0], 429

    def handle_error(self, error_msg: str, error_type: str = 'error') -> Tuple[flask.Response, int]:
        disable_st_error_formatting = request.headers.get('LLM-ST-Errors', False) == 'true'
        if disable_st_error_formatting:
            # TODO: how to format this
            response_msg = error_msg
        else:
            response_msg = format_sillytavern_err(error_msg, error_type=error_type, backend_url=self.backend_url)

        return jsonify({
            'results': [{'text': response_msg}]
        }), 200  # return 200 so we don't trigger an error message in the client's ST