mirror of https://github.com/xtekky/gpt4free.git
225 lines
7.2 KiB
Python
225 lines
7.2 KiB
Python
import logging
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import json
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from flask import request, Flask
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from typing import Generator
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from g4f import debug, version, models
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from g4f import _all_models, get_last_provider, ChatCompletion
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from g4f.image import is_allowed_extension, to_image
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from g4f.errors import VersionNotFoundError
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from g4f.Provider import __providers__
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from g4f.Provider.bing.create_images import patch_provider
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from .internet import get_search_message
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debug.logging = True
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class Backend_Api:
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"""
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Handles various endpoints in a Flask application for backend operations.
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This class provides methods to interact with models, providers, and to handle
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various functionalities like conversations, error handling, and version management.
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Attributes:
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app (Flask): A Flask application instance.
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routes (dict): A dictionary mapping API endpoints to their respective handlers.
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"""
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def __init__(self, app: Flask) -> None:
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"""
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Initialize the backend API with the given Flask application.
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Args:
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app (Flask): Flask application instance to attach routes to.
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"""
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self.app: Flask = app
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self.routes = {
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'/backend-api/v2/models': {
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'function': self.get_models,
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'methods': ['GET']
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},
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'/backend-api/v2/providers': {
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'function': self.get_providers,
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'methods': ['GET']
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},
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'/backend-api/v2/version': {
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'function': self.get_version,
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'methods': ['GET']
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},
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'/backend-api/v2/conversation': {
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'function': self.handle_conversation,
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'methods': ['POST']
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},
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'/backend-api/v2/gen.set.summarize:title': {
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'function': self.generate_title,
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'methods': ['POST']
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},
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'/backend-api/v2/error': {
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'function': self.handle_error,
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'methods': ['POST']
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}
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}
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def handle_error(self):
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"""
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Initialize the backend API with the given Flask application.
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Args:
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app (Flask): Flask application instance to attach routes to.
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"""
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print(request.json)
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return 'ok', 200
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def get_models(self):
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"""
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Return a list of all models.
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Fetches and returns a list of all available models in the system.
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Returns:
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List[str]: A list of model names.
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"""
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return _all_models
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def get_providers(self):
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"""
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Return a list of all working providers.
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"""
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return [provider.__name__ for provider in __providers__ if provider.working]
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def get_version(self):
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"""
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Returns the current and latest version of the application.
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Returns:
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dict: A dictionary containing the current and latest version.
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"""
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try:
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current_version = version.utils.current_version
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except VersionNotFoundError:
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current_version = None
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return {
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"version": current_version,
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"latest_version": version.get_latest_version(),
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}
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def generate_title(self):
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"""
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Generates and returns a title based on the request data.
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Returns:
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dict: A dictionary with the generated title.
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"""
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return {'title': ''}
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def handle_conversation(self):
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"""
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Handles conversation requests and streams responses back.
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Returns:
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Response: A Flask response object for streaming.
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"""
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kwargs = self._prepare_conversation_kwargs()
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return self.app.response_class(
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self._create_response_stream(kwargs),
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mimetype='text/event-stream'
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)
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def _prepare_conversation_kwargs(self):
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"""
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Prepares arguments for chat completion based on the request data.
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Reads the request and prepares the necessary arguments for handling
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a chat completion request.
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Returns:
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dict: Arguments prepared for chat completion.
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"""
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kwargs = {}
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if 'image' in request.files:
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file = request.files['image']
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if file.filename != '' and is_allowed_extension(file.filename):
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kwargs['image'] = to_image(file.stream)
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if 'json' in request.form:
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json_data = json.loads(request.form['json'])
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else:
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json_data = request.json
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provider = json_data.get('provider', '').replace('g4f.Provider.', '')
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provider = provider if provider and provider != "Auto" else None
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if provider == 'OpenaiChat':
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kwargs['auto_continue'] = True
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messages = json_data['messages']
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if json_data.get('web_search'):
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if provider == "Bing":
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kwargs['web_search'] = True
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else:
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messages[-1]["content"] = get_search_message(messages[-1]["content"])
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model = json_data.get('model')
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model = model if model else models.default
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patch = patch_provider if json_data.get('patch_provider') else None
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return {
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"model": model,
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"provider": provider,
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"messages": messages,
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"stream": True,
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"ignore_stream_and_auth": True,
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"patch_provider": patch,
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**kwargs
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}
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def _create_response_stream(self, kwargs) -> Generator[str, None, None]:
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"""
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Creates and returns a streaming response for the conversation.
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Args:
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kwargs (dict): Arguments for creating the chat completion.
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Yields:
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str: JSON formatted response chunks for the stream.
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Raises:
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Exception: If an error occurs during the streaming process.
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"""
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try:
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first = True
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for chunk in ChatCompletion.create(**kwargs):
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if first:
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first = False
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yield self._format_json('provider', get_last_provider(True))
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if isinstance(chunk, Exception):
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logging.exception(chunk)
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yield self._format_json('message', get_error_message(chunk))
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else:
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yield self._format_json('content', str(chunk))
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except Exception as e:
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logging.exception(e)
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yield self._format_json('error', get_error_message(e))
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def _format_json(self, response_type: str, content) -> str:
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"""
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Formats and returns a JSON response.
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Args:
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response_type (str): The type of the response.
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content: The content to be included in the response.
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Returns:
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str: A JSON formatted string.
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"""
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return json.dumps({
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'type': response_type,
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response_type: content
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}) + "\n"
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def get_error_message(exception: Exception) -> str:
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"""
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Generates a formatted error message from an exception.
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Args:
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exception (Exception): The exception to format.
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Returns:
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str: A formatted error message string.
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"""
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return f"{get_last_provider().__name__}: {type(exception).__name__}: {exception}" |