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248 lines
9.8 KiB
Python
248 lines
9.8 KiB
Python
from __future__ import annotations
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import logging
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import os
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import os.path
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import uuid
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import asyncio
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import time
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from aiohttp import ClientSession
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from typing import Iterator, Optional
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from flask import send_from_directory
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from g4f import version, models
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from g4f import get_last_provider, ChatCompletion
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from g4f.errors import VersionNotFoundError
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from g4f.typing import Cookies
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from g4f.image import ImagePreview, ImageResponse, is_accepted_format
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from g4f.requests.aiohttp import get_connector
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from g4f.Provider import ProviderType, __providers__, __map__
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from g4f.providers.base_provider import ProviderModelMixin, FinishReason
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from g4f.providers.conversation import BaseConversation
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conversations: dict[dict[str, BaseConversation]] = {}
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images_dir = "./generated_images"
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class Api():
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@staticmethod
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def get_models() -> list[str]:
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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 models._all_models
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@staticmethod
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def get_provider_models(provider: str) -> list[dict]:
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if provider in __map__:
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provider: ProviderType = __map__[provider]
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if issubclass(provider, ProviderModelMixin):
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return [{"model": model, "default": model == provider.default_model} for model in provider.get_models()]
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elif provider.supports_gpt_35_turbo or provider.supports_gpt_4:
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return [
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*([{"model": "gpt-4", "default": not provider.supports_gpt_4}] if provider.supports_gpt_4 else []),
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*([{"model": "gpt-3.5-turbo", "default": not provider.supports_gpt_4}] if provider.supports_gpt_35_turbo else [])
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]
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else:
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return [];
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@staticmethod
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def get_image_models() -> list[dict]:
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image_models = []
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index = []
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for provider in __providers__:
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if hasattr(provider, "image_models"):
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if hasattr(provider, "get_models"):
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provider.get_models()
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parent = provider
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if hasattr(provider, "parent"):
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parent = __map__[provider.parent]
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if parent.__name__ not in index:
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for model in provider.image_models:
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image_models.append({
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"provider": parent.__name__,
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"url": parent.url,
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"label": parent.label if hasattr(parent, "label") else None,
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"image_model": model,
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"vision_model": parent.default_vision_model if hasattr(parent, "default_vision_model") else None
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})
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index.append(parent.__name__)
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elif hasattr(provider, "default_vision_model") and provider.__name__ not in index:
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image_models.append({
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"provider": provider.__name__,
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"url": provider.url,
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"label": provider.label if hasattr(provider, "label") else None,
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"image_model": None,
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"vision_model": provider.default_vision_model
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})
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index.append(provider.__name__)
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return image_models
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@staticmethod
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def get_providers() -> list[str]:
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"""
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Return a list of all working providers.
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"""
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return {
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provider.__name__: (provider.label
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if hasattr(provider, "label")
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else provider.__name__) +
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(" (WebDriver)"
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if "webdriver" in provider.get_parameters()
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else "") +
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(" (Auth)"
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if provider.needs_auth
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else "")
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for provider in __providers__
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if provider.working
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}
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@staticmethod
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def get_version():
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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.utils.latest_version,
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}
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def serve_images(self, name):
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return send_from_directory(os.path.abspath(images_dir), name)
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def _prepare_conversation_kwargs(self, json_data: dict, kwargs: dict):
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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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model = json_data.get('model') or models.default
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provider = json_data.get('provider')
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messages = json_data['messages']
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api_key = json_data.get("api_key")
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if api_key is not None:
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kwargs["api_key"] = api_key
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if json_data.get('web_search'):
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if provider in ("Bing", "HuggingChat"):
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kwargs['web_search'] = True
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else:
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from .internet import get_search_message
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messages[-1]["content"] = get_search_message(messages[-1]["content"])
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conversation_id = json_data.get("conversation_id")
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if conversation_id and provider in conversations and conversation_id in conversations[provider]:
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kwargs["conversation"] = conversations[provider][conversation_id]
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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": True,
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"return_conversation": True,
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**kwargs
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}
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def _create_response_stream(self, kwargs: dict, conversation_id: str, provider: str) -> Iterator:
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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, BaseConversation):
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if provider not in conversations:
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conversations[provider] = {}
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conversations[provider][conversation_id] = chunk
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yield self._format_json("conversation", conversation_id)
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elif 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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elif isinstance(chunk, ImagePreview):
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yield self._format_json("preview", chunk.to_string())
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elif isinstance(chunk, ImageResponse):
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async def copy_images(images: list[str], cookies: Optional[Cookies] = None):
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async with ClientSession(
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connector=get_connector(None, os.environ.get("G4F_PROXY")),
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cookies=cookies
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) as session:
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async def copy_image(image):
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async with session.get(image) as response:
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target = os.path.join(images_dir, f"{int(time.time())}_{str(uuid.uuid4())}")
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with open(target, "wb") as f:
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async for chunk in response.content.iter_any():
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f.write(chunk)
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with open(target, "rb") as f:
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extension = is_accepted_format(f.read(12)).split("/")[-1]
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extension = "jpg" if extension == "jpeg" else extension
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new_target = f"{target}.{extension}"
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os.rename(target, new_target)
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return f"/images/{os.path.basename(new_target)}"
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return await asyncio.gather(*[copy_image(image) for image in images])
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images = asyncio.run(copy_images(chunk.get_list(), chunk.options.get("cookies")))
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yield self._format_json("content", str(ImageResponse(images, chunk.alt)))
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elif not isinstance(chunk, FinishReason):
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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):
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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 {
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'type': response_type,
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response_type: content
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}
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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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message = f"{type(exception).__name__}: {exception}"
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provider = get_last_provider()
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if provider is None:
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return message
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return f"{provider.__name__}: {message}" |