mirror of
https://github.com/xtekky/gpt4free.git
synced 2025-12-06 02:30:41 -08:00
feat(g4f/client/async_client.py, g4f/client/async_client.py): enhance async and sync handling in client
This commit is contained in:
parent
e1e37b34a5
commit
0d868f64aa
3 changed files with 336 additions and 473 deletions
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@ -1,3 +1,2 @@
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from .stubs import ChatCompletion, ChatCompletionChunk, ImagesResponse
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from .client import Client
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from .async_client import AsyncClient
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@ -1,339 +0,0 @@
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from __future__ import annotations
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import os
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import time
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import random
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import string
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import logging
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import asyncio
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from typing import Union, AsyncIterator
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from ..providers.base_provider import AsyncGeneratorProvider
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from ..image import ImageResponse, to_image, to_data_uri
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from ..typing import Messages, ImageType
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from ..providers.types import BaseProvider, ProviderType, FinishReason
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from ..providers.conversation import BaseConversation
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from ..image import ImageResponse as ImageProviderResponse
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from ..errors import NoImageResponseError
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from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
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from .image_models import ImageModels
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from .types import IterResponse, ImageProvider
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from .types import Client as BaseClient
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from .service import get_model_and_provider, get_last_provider
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from .helper import find_stop, filter_json, filter_none
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from ..models import ModelUtils
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from ..Provider import IterListProvider
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from .helper import cast_iter_async
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try:
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anext # Python 3.8+
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except NameError:
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async def anext(aiter):
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try:
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return await aiter.__anext__()
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except StopAsyncIteration:
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raise StopIteration
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async def safe_aclose(generator):
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try:
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await generator.aclose()
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except Exception as e:
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logging.warning(f"Error while closing generator: {e}")
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async def iter_response(
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response: AsyncIterator[str],
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stream: bool,
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response_format: dict = None,
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max_tokens: int = None,
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stop: list = None
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) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]:
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content = ""
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finish_reason = None
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completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
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idx = 0
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try:
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async for chunk in response:
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if isinstance(chunk, FinishReason):
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finish_reason = chunk.reason
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break
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elif isinstance(chunk, BaseConversation):
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yield chunk
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continue
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content += str(chunk)
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idx += 1
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if max_tokens is not None and idx >= max_tokens:
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finish_reason = "length"
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first, content, chunk = find_stop(stop, content, chunk if stream else None)
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if first != -1:
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finish_reason = "stop"
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if stream:
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yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
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if finish_reason is not None:
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break
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finish_reason = "stop" if finish_reason is None else finish_reason
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if stream:
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yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
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else:
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if response_format is not None and "type" in response_format:
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if response_format["type"] == "json_object":
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content = filter_json(content)
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yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
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finally:
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if hasattr(response, 'aclose'):
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await safe_aclose(response)
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async def iter_append_model_and_provider(response: AsyncIterator) -> AsyncIterator:
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last_provider = None
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try:
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async for chunk in response:
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last_provider = get_last_provider(True) if last_provider is None else last_provider
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chunk.model = last_provider.get("model")
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chunk.provider = last_provider.get("name")
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yield chunk
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finally:
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if hasattr(response, 'aclose'):
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await safe_aclose(response)
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class AsyncClient(BaseClient):
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def __init__(
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self,
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provider: ProviderType = None,
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image_provider: ImageProvider = None,
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**kwargs
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) -> None:
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super().__init__(**kwargs)
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self.chat: Chat = Chat(self, provider)
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self._images: Images = Images(self, image_provider)
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@property
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def images(self) -> Images:
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return self._images
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class Completions:
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def __init__(self, client: 'AsyncClient', provider: ProviderType = None):
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self.client: 'AsyncClient' = client
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self.provider: ProviderType = provider
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async def create(
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self,
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messages: Messages,
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model: str,
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provider: ProviderType = None,
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stream: bool = False,
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proxy: str = None,
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response_format: dict = None,
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max_tokens: int = None,
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stop: Union[list[str], str] = None,
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api_key: str = None,
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ignored: list[str] = None,
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ignore_working: bool = False,
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ignore_stream: bool = False,
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**kwargs
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) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]:
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model, provider = get_model_and_provider(
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model,
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self.provider if provider is None else provider,
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stream,
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ignored,
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ignore_working,
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ignore_stream,
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)
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stop = [stop] if isinstance(stop, str) else stop
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response = provider.create_completion(
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model,
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messages,
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stream=stream,
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**filter_none(
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proxy=self.client.get_proxy() if proxy is None else proxy,
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max_tokens=max_tokens,
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stop=stop,
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api_key=self.client.api_key if api_key is None else api_key
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),
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**kwargs
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)
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if isinstance(response, AsyncIterator):
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response = iter_response(response, stream, response_format, max_tokens, stop)
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response = iter_append_model_and_provider(response)
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return response if stream else await anext(response)
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else:
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response = cast_iter_async(response)
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response = iter_response(response, stream, response_format, max_tokens, stop)
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response = iter_append_model_and_provider(response)
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return response if stream else await anext(response)
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class Chat:
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completions: Completions
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def __init__(self, client: AsyncClient, provider: ProviderType = None):
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self.completions = Completions(client, provider)
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async def iter_image_response(response: AsyncIterator) -> Union[ImagesResponse, None]:
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logging.info("Starting iter_image_response")
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try:
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async for chunk in response:
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logging.info(f"Processing chunk: {chunk}")
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if isinstance(chunk, ImageProviderResponse):
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logging.info("Found ImageProviderResponse")
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return ImagesResponse([Image(image) for image in chunk.get_list()])
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logging.warning("No ImageProviderResponse found in the response")
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return None
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finally:
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if hasattr(response, 'aclose'):
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await safe_aclose(response)
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async def create_image(client: AsyncClient, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> AsyncIterator:
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logging.info(f"Creating image with provider: {provider}, model: {model}, prompt: {prompt}")
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if isinstance(provider, type) and provider.__name__ == "You":
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kwargs["chat_mode"] = "create"
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else:
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prompt = f"create an image with: {prompt}"
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response = await provider.create_completion(
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model,
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[{"role": "user", "content": prompt}],
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stream=True,
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proxy=client.get_proxy(),
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**kwargs
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)
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logging.info(f"Response from create_completion: {response}")
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return response
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class Images:
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def __init__(self, client: 'AsyncClient', provider: ImageProvider = None):
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self.client: 'AsyncClient' = client
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self.provider: ImageProvider = provider
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self.models: ImageModels = ImageModels(client)
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async def generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse:
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logging.info(f"Starting asynchronous image generation for model: {model}, prompt: {prompt}")
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provider = self.models.get(model, self.provider)
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if provider is None:
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raise ValueError(f"Unknown model: {model}")
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logging.info(f"Provider: {provider}")
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if isinstance(provider, IterListProvider):
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if provider.providers:
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provider = provider.providers[0]
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logging.info(f"Using first provider from IterListProvider: {provider}")
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else:
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raise ValueError(f"IterListProvider for model {model} has no providers")
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if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
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logging.info("Using AsyncGeneratorProvider")
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messages = [{"role": "user", "content": prompt}]
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generator = None
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try:
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generator = provider.create_async_generator(model, messages, **kwargs)
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async for response in generator:
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logging.debug(f"Received response: {type(response)}")
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if isinstance(response, ImageResponse):
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return self._process_image_response(response)
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elif isinstance(response, str):
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image_response = ImageResponse([response], prompt)
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return self._process_image_response(image_response)
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except RuntimeError as e:
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if "async generator ignored GeneratorExit" in str(e):
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logging.warning("Generator ignored GeneratorExit, handling gracefully")
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else:
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raise
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finally:
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if generator and hasattr(generator, 'aclose'):
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await safe_aclose(generator)
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logging.info("AsyncGeneratorProvider processing completed")
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elif hasattr(provider, 'create'):
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logging.info("Using provider's create method")
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async_create = asyncio.iscoroutinefunction(provider.create)
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if async_create:
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response = await provider.create(prompt)
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else:
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response = provider.create(prompt)
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if isinstance(response, ImageResponse):
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return self._process_image_response(response)
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elif isinstance(response, str):
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image_response = ImageResponse([response], prompt)
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return self._process_image_response(image_response)
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elif hasattr(provider, 'create_completion'):
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logging.info("Using provider's create_completion method")
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response = await create_image(self.client, provider, prompt, model, **kwargs)
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async for chunk in response:
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if isinstance(chunk, ImageProviderResponse):
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logging.info("Found ImageProviderResponse")
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return ImagesResponse([Image(image) for image in chunk.get_list()])
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else:
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raise ValueError(f"Provider {provider} does not support image generation")
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logging.error(f"Unexpected response type: {type(response)}")
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raise NoImageResponseError(f"Unexpected response type: {type(response)}")
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def _process_image_response(self, response: ImageResponse) -> ImagesResponse:
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processed_images = []
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for image_data in response.get_list():
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if image_data.startswith('http://') or image_data.startswith('https://'):
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processed_images.append(Image(url=image_data))
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else:
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image = to_image(image_data)
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file_name = self._save_image(image)
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processed_images.append(Image(url=file_name))
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return ImagesResponse(processed_images)
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def _save_image(self, image: 'PILImage') -> str:
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os.makedirs('generated_images', exist_ok=True)
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file_name = f"generated_images/image_{int(time.time())}.png"
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image.save(file_name)
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return file_name
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async def create_variation(self, image: Union[str, bytes], model: str = None, **kwargs) -> ImagesResponse:
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provider = self.models.get(model, self.provider)
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if provider is None:
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raise ValueError(f"Unknown model: {model}")
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if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
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messages = [{"role": "user", "content": "create a variation of this image"}]
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image_data = to_data_uri(image)
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generator = None
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try:
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generator = provider.create_async_generator(model, messages, image=image_data, **kwargs)
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async for response in generator:
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if isinstance(response, ImageResponse):
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return self._process_image_response(response)
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elif isinstance(response, str):
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image_response = ImageResponse([response], "Image variation")
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return self._process_image_response(image_response)
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except RuntimeError as e:
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if "async generator ignored GeneratorExit" in str(e):
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logging.warning("Generator ignored GeneratorExit in create_variation, handling gracefully")
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else:
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raise
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finally:
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if generator and hasattr(generator, 'aclose'):
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await safe_aclose(generator)
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logging.info("AsyncGeneratorProvider processing completed in create_variation")
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elif hasattr(provider, 'create_variation'):
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if asyncio.iscoroutinefunction(provider.create_variation):
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response = await provider.create_variation(image, **kwargs)
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else:
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response = provider.create_variation(image, **kwargs)
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if isinstance(response, ImageResponse):
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return self._process_image_response(response)
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elif isinstance(response, str):
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image_response = ImageResponse([response], "Image variation")
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return self._process_image_response(image_response)
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else:
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raise ValueError(f"Provider {provider} does not support image variation")
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@ -4,12 +4,16 @@ import os
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import time
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import random
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import string
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import logging
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import threading
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import asyncio
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from typing import Union
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import base64
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import aiohttp
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import queue
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from typing import Union, AsyncIterator, Iterator
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from ..providers.base_provider import AsyncGeneratorProvider
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from ..image import ImageResponse, to_image, to_data_uri
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from ..typing import Union, Iterator, Messages, ImageType
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from ..typing import Messages, ImageType
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from ..providers.types import BaseProvider, ProviderType, FinishReason
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from ..providers.conversation import BaseConversation
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from ..image import ImageResponse as ImageProviderResponse
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@ -23,44 +27,83 @@ from .helper import find_stop, filter_json, filter_none
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from ..models import ModelUtils
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from ..Provider import IterListProvider
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# Helper function to convert an async generator to a synchronous iterator
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def to_sync_iter(async_gen: AsyncIterator) -> Iterator:
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q = queue.Queue()
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loop = asyncio.new_event_loop()
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done = object()
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def _run():
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asyncio.set_event_loop(loop)
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async def iterate():
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try:
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async for item in async_gen:
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q.put(item)
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finally:
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q.put(done)
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loop.run_until_complete(iterate())
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loop.close()
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threading.Thread(target=_run).start()
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while True:
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item = q.get()
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if item is done:
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break
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yield item
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# Helper function to convert a synchronous iterator to an async iterator
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async def to_async_iterator(iterator):
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for item in iterator:
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yield item
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# Synchronous iter_response function
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def iter_response(
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response: Iterator[str],
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response: Union[Iterator[str], AsyncIterator[str]],
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stream: bool,
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response_format: dict = None,
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max_tokens: int = None,
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stop: list = None
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) -> IterResponse:
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) -> Iterator[Union[ChatCompletion, ChatCompletionChunk]]:
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content = ""
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finish_reason = None
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completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
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for idx, chunk in enumerate(response):
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idx = 0
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if hasattr(response, '__aiter__'):
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# It's an async iterator, wrap it into a sync iterator
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response = to_sync_iter(response)
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for chunk in response:
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if isinstance(chunk, FinishReason):
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finish_reason = chunk.reason
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break
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elif isinstance(chunk, BaseConversation):
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yield chunk
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continue
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content += str(chunk)
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if max_tokens is not None and idx + 1 >= max_tokens:
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finish_reason = "length"
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first, content, chunk = find_stop(stop, content, chunk if stream else None)
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if first != -1:
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finish_reason = "stop"
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if stream:
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yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
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if finish_reason is not None:
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break
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idx += 1
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finish_reason = "stop" if finish_reason is None else finish_reason
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if stream:
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yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
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else:
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@ -69,16 +112,16 @@ def iter_response(
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content = filter_json(content)
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yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
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def iter_append_model_and_provider(response: IterResponse) -> IterResponse:
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# Synchronous iter_append_model_and_provider function
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def iter_append_model_and_provider(response: Iterator) -> Iterator:
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last_provider = None
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for chunk in response:
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last_provider = get_last_provider(True) if last_provider is None else last_provider
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chunk.model = last_provider.get("model")
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chunk.provider = last_provider.get("name")
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yield chunk
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class Client(BaseClient):
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def __init__(
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self,
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|
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@ -97,7 +140,6 @@ class Client(BaseClient):
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async def async_images(self) -> Images:
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return self._images
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class Completions:
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def __init__(self, client: Client, provider: ProviderType = None):
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self.client: Client = client
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@ -129,25 +171,115 @@ class Completions:
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)
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|
||||
stop = [stop] if isinstance(stop, str) else stop
|
||||
|
||||
response = provider.create_completion(
|
||||
model,
|
||||
messages,
|
||||
stream=stream,
|
||||
**filter_none(
|
||||
proxy=self.client.get_proxy() if proxy is None else proxy,
|
||||
max_tokens=max_tokens,
|
||||
stop=stop,
|
||||
api_key=self.client.api_key if api_key is None else api_key
|
||||
),
|
||||
**kwargs
|
||||
)
|
||||
|
||||
response = iter_response(response, stream, response_format, max_tokens, stop)
|
||||
response = iter_append_model_and_provider(response)
|
||||
|
||||
return response if stream else next(response)
|
||||
|
||||
if asyncio.iscoroutinefunction(provider.create_completion):
|
||||
# Run the asynchronous function in an event loop
|
||||
response = asyncio.run(provider.create_completion(
|
||||
model,
|
||||
messages,
|
||||
stream=stream,
|
||||
**filter_none(
|
||||
proxy=self.client.get_proxy() if proxy is None else proxy,
|
||||
max_tokens=max_tokens,
|
||||
stop=stop,
|
||||
api_key=self.client.api_key if api_key is None else api_key
|
||||
),
|
||||
**kwargs
|
||||
))
|
||||
else:
|
||||
response = provider.create_completion(
|
||||
model,
|
||||
messages,
|
||||
stream=stream,
|
||||
**filter_none(
|
||||
proxy=self.client.get_proxy() if proxy is None else proxy,
|
||||
max_tokens=max_tokens,
|
||||
stop=stop,
|
||||
api_key=self.client.api_key if api_key is None else api_key
|
||||
),
|
||||
**kwargs
|
||||
)
|
||||
|
||||
if stream:
|
||||
if hasattr(response, '__aiter__'):
|
||||
# It's an async generator, wrap it into a sync iterator
|
||||
response = to_sync_iter(response)
|
||||
|
||||
# Now 'response' is an iterator
|
||||
response = iter_response(response, stream, response_format, max_tokens, stop)
|
||||
response = iter_append_model_and_provider(response)
|
||||
return response
|
||||
else:
|
||||
if hasattr(response, '__aiter__'):
|
||||
# If response is an async generator, collect it into a list
|
||||
response = list(to_sync_iter(response))
|
||||
response = iter_response(response, stream, response_format, max_tokens, stop)
|
||||
response = iter_append_model_and_provider(response)
|
||||
return next(response)
|
||||
|
||||
async def async_create(
|
||||
self,
|
||||
messages: Messages,
|
||||
model: str,
|
||||
provider: ProviderType = None,
|
||||
stream: bool = False,
|
||||
proxy: str = None,
|
||||
response_format: dict = None,
|
||||
max_tokens: int = None,
|
||||
stop: Union[list[str], str] = None,
|
||||
api_key: str = None,
|
||||
ignored: list[str] = None,
|
||||
ignore_working: bool = False,
|
||||
ignore_stream: bool = False,
|
||||
**kwargs
|
||||
) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]:
|
||||
model, provider = get_model_and_provider(
|
||||
model,
|
||||
self.provider if provider is None else provider,
|
||||
stream,
|
||||
ignored,
|
||||
ignore_working,
|
||||
ignore_stream,
|
||||
)
|
||||
|
||||
stop = [stop] if isinstance(stop, str) else stop
|
||||
|
||||
if asyncio.iscoroutinefunction(provider.create_completion):
|
||||
response = await provider.create_completion(
|
||||
model,
|
||||
messages,
|
||||
stream=stream,
|
||||
**filter_none(
|
||||
proxy=self.client.get_proxy() if proxy is None else proxy,
|
||||
max_tokens=max_tokens,
|
||||
stop=stop,
|
||||
api_key=self.client.api_key if api_key is None else api_key
|
||||
),
|
||||
**kwargs
|
||||
)
|
||||
else:
|
||||
response = provider.create_completion(
|
||||
model,
|
||||
messages,
|
||||
stream=stream,
|
||||
**filter_none(
|
||||
proxy=self.client.get_proxy() if proxy is None else proxy,
|
||||
max_tokens=max_tokens,
|
||||
stop=stop,
|
||||
api_key=self.client.api_key if api_key is None else api_key
|
||||
),
|
||||
**kwargs
|
||||
)
|
||||
|
||||
# Removed 'await' here since 'async_iter_response' returns an async generator
|
||||
response = async_iter_response(response, stream, response_format, max_tokens, stop)
|
||||
response = async_iter_append_model_and_provider(response)
|
||||
|
||||
if stream:
|
||||
return response
|
||||
else:
|
||||
async for result in response:
|
||||
return result
|
||||
|
||||
class Chat:
|
||||
completions: Completions
|
||||
|
|
@ -155,153 +287,224 @@ class Chat:
|
|||
def __init__(self, client: Client, provider: ProviderType = None):
|
||||
self.completions = Completions(client, provider)
|
||||
|
||||
# Asynchronous versions of the helper functions
|
||||
async def async_iter_response(
|
||||
response: Union[AsyncIterator[str], Iterator[str]],
|
||||
stream: bool,
|
||||
response_format: dict = None,
|
||||
max_tokens: int = None,
|
||||
stop: list = None
|
||||
) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]:
|
||||
content = ""
|
||||
finish_reason = None
|
||||
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
|
||||
idx = 0
|
||||
|
||||
def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]:
|
||||
logging.info("Starting iter_image_response")
|
||||
response_list = list(response)
|
||||
logging.info(f"Response list: {response_list}")
|
||||
|
||||
for chunk in response_list:
|
||||
logging.info(f"Processing chunk: {chunk}")
|
||||
if not hasattr(response, '__aiter__'):
|
||||
response = to_async_iterator(response)
|
||||
|
||||
async for chunk in response:
|
||||
if isinstance(chunk, FinishReason):
|
||||
finish_reason = chunk.reason
|
||||
break
|
||||
elif isinstance(chunk, BaseConversation):
|
||||
yield chunk
|
||||
continue
|
||||
|
||||
content += str(chunk)
|
||||
|
||||
if max_tokens is not None and idx + 1 >= max_tokens:
|
||||
finish_reason = "length"
|
||||
|
||||
first, content, chunk = find_stop(stop, content, chunk if stream else None)
|
||||
|
||||
if first != -1:
|
||||
finish_reason = "stop"
|
||||
|
||||
if stream:
|
||||
yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
|
||||
|
||||
if finish_reason is not None:
|
||||
break
|
||||
|
||||
idx += 1
|
||||
|
||||
finish_reason = "stop" if finish_reason is None else finish_reason
|
||||
|
||||
if stream:
|
||||
yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
|
||||
else:
|
||||
if response_format is not None and "type" in response_format:
|
||||
if response_format["type"] == "json_object":
|
||||
content = filter_json(content)
|
||||
yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
|
||||
|
||||
async def async_iter_append_model_and_provider(response: AsyncIterator) -> AsyncIterator:
|
||||
last_provider = None
|
||||
|
||||
if not hasattr(response, '__aiter__'):
|
||||
response = to_async_iterator(response)
|
||||
|
||||
async for chunk in response:
|
||||
last_provider = get_last_provider(True) if last_provider is None else last_provider
|
||||
chunk.model = last_provider.get("model")
|
||||
chunk.provider = last_provider.get("name")
|
||||
yield chunk
|
||||
|
||||
async def iter_image_response(response: AsyncIterator) -> Union[ImagesResponse, None]:
|
||||
response_list = []
|
||||
async for chunk in response:
|
||||
if isinstance(chunk, ImageProviderResponse):
|
||||
logging.info("Found ImageProviderResponse")
|
||||
return ImagesResponse([Image(image) for image in chunk.get_list()])
|
||||
|
||||
logging.warning("No ImageProviderResponse found in the response")
|
||||
response_list.extend(chunk.get_list())
|
||||
elif isinstance(chunk, str):
|
||||
response_list.append(chunk)
|
||||
|
||||
if response_list:
|
||||
return ImagesResponse([Image(image) for image in response_list])
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator:
|
||||
logging.info(f"Creating image with provider: {provider}, model: {model}, prompt: {prompt}")
|
||||
|
||||
async def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> AsyncIterator:
|
||||
if isinstance(provider, type) and provider.__name__ == "You":
|
||||
kwargs["chat_mode"] = "create"
|
||||
else:
|
||||
prompt = f"create an image with: {prompt}"
|
||||
|
||||
response = provider.create_completion(
|
||||
model,
|
||||
[{"role": "user", "content": prompt}],
|
||||
stream=True,
|
||||
proxy=client.get_proxy(),
|
||||
**kwargs
|
||||
)
|
||||
|
||||
logging.info(f"Response from create_completion: {response}")
|
||||
|
||||
if asyncio.iscoroutinefunction(provider.create_completion):
|
||||
response = await provider.create_completion(
|
||||
model,
|
||||
[{"role": "user", "content": prompt}],
|
||||
stream=True,
|
||||
proxy=client.get_proxy(),
|
||||
**kwargs
|
||||
)
|
||||
else:
|
||||
response = provider.create_completion(
|
||||
model,
|
||||
[{"role": "user", "content": prompt}],
|
||||
stream=True,
|
||||
proxy=client.get_proxy(),
|
||||
**kwargs
|
||||
)
|
||||
|
||||
# Wrap synchronous iterator into async iterator if necessary
|
||||
if not hasattr(response, '__aiter__'):
|
||||
response = to_async_iterator(response)
|
||||
|
||||
return response
|
||||
|
||||
class Image:
|
||||
def __init__(self, url: str = None, b64_json: str = None):
|
||||
self.url = url
|
||||
self.b64_json = b64_json
|
||||
|
||||
def __repr__(self):
|
||||
return f"Image(url={self.url}, b64_json={'<base64 data>' if self.b64_json else None})"
|
||||
|
||||
class ImagesResponse:
|
||||
def __init__(self, data: list[Image]):
|
||||
self.data = data
|
||||
|
||||
def __repr__(self):
|
||||
return f"ImagesResponse(data={self.data})"
|
||||
|
||||
class Images:
|
||||
def __init__(self, client: 'Client', provider: ImageProvider = None):
|
||||
def __init__(self, client: 'Client', provider: 'ImageProvider' = None):
|
||||
self.client: 'Client' = client
|
||||
self.provider: ImageProvider = provider
|
||||
self.provider: 'ImageProvider' = provider
|
||||
self.models: ImageModels = ImageModels(client)
|
||||
|
||||
def generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse:
|
||||
logging.info(f"Starting synchronous image generation for model: {model}, prompt: {prompt}")
|
||||
try:
|
||||
loop = asyncio.get_event_loop()
|
||||
except RuntimeError:
|
||||
loop = asyncio.new_event_loop()
|
||||
asyncio.set_event_loop(loop)
|
||||
|
||||
try:
|
||||
result = loop.run_until_complete(self.async_generate(prompt, model, **kwargs))
|
||||
logging.info(f"Synchronous image generation completed. Result: {result}")
|
||||
return result
|
||||
except Exception as e:
|
||||
logging.error(f"Error in synchronous image generation: {str(e)}")
|
||||
raise
|
||||
finally:
|
||||
if loop.is_running():
|
||||
loop.close()
|
||||
def generate(self, prompt: str, model: str = None, response_format: str = "url", **kwargs) -> ImagesResponse:
|
||||
"""
|
||||
Synchronous generate method that runs the async_generate method in an event loop.
|
||||
"""
|
||||
return asyncio.run(self.async_generate(prompt, model, response_format=response_format, **kwargs))
|
||||
|
||||
async def async_generate(self, prompt: str, model: str = None, **kwargs) -> ImagesResponse:
|
||||
logging.info(f"Generating image for model: {model}, prompt: {prompt}")
|
||||
async def async_generate(self, prompt: str, model: str = None, response_format: str = "url", **kwargs) -> ImagesResponse:
|
||||
provider = self.models.get(model, self.provider)
|
||||
if provider is None:
|
||||
raise ValueError(f"Unknown model: {model}")
|
||||
|
||||
logging.info(f"Provider: {provider}")
|
||||
|
||||
|
||||
if isinstance(provider, IterListProvider):
|
||||
if provider.providers:
|
||||
provider = provider.providers[0]
|
||||
logging.info(f"Using first provider from IterListProvider: {provider}")
|
||||
else:
|
||||
raise ValueError(f"IterListProvider for model {model} has no providers")
|
||||
|
||||
if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
|
||||
logging.info("Using AsyncGeneratorProvider")
|
||||
messages = [{"role": "user", "content": prompt}]
|
||||
async for response in provider.create_async_generator(model, messages, **kwargs):
|
||||
if isinstance(response, ImageResponse):
|
||||
return self._process_image_response(response)
|
||||
return await self._process_image_response(response, response_format)
|
||||
elif isinstance(response, str):
|
||||
image_response = ImageResponse([response], prompt)
|
||||
return self._process_image_response(image_response)
|
||||
return await self._process_image_response(image_response, response_format)
|
||||
elif hasattr(provider, 'create'):
|
||||
logging.info("Using provider's create method")
|
||||
if asyncio.iscoroutinefunction(provider.create):
|
||||
response = await provider.create(prompt)
|
||||
else:
|
||||
response = provider.create(prompt)
|
||||
|
||||
|
||||
if isinstance(response, ImageResponse):
|
||||
return self._process_image_response(response)
|
||||
return await self._process_image_response(response, response_format)
|
||||
elif isinstance(response, str):
|
||||
image_response = ImageResponse([response], prompt)
|
||||
return self._process_image_response(image_response)
|
||||
return await self._process_image_response(image_response, response_format)
|
||||
else:
|
||||
raise ValueError(f"Provider {provider} does not support image generation")
|
||||
|
||||
logging.error(f"Unexpected response type: {type(response)}")
|
||||
|
||||
raise NoImageResponseError(f"Unexpected response type: {type(response)}")
|
||||
|
||||
def _process_image_response(self, response: ImageResponse) -> ImagesResponse:
|
||||
async def _process_image_response(self, response: ImageResponse, response_format: str) -> ImagesResponse:
|
||||
processed_images = []
|
||||
|
||||
for image_data in response.get_list():
|
||||
if image_data.startswith('http://') or image_data.startswith('https://'):
|
||||
processed_images.append(Image(url=image_data))
|
||||
if response_format == "url":
|
||||
processed_images.append(Image(url=image_data))
|
||||
elif response_format == "b64_json":
|
||||
# Fetch the image data and convert it to base64
|
||||
image_content = await self._fetch_image(image_data)
|
||||
b64_json = base64.b64encode(image_content).decode('utf-8')
|
||||
processed_images.append(Image(b64_json=b64_json))
|
||||
else:
|
||||
image = to_image(image_data)
|
||||
file_name = self._save_image(image)
|
||||
processed_images.append(Image(url=file_name))
|
||||
# Assume image_data is base64 data or binary
|
||||
if response_format == "url":
|
||||
if image_data.startswith('data:image'):
|
||||
# Remove the data URL scheme and get the base64 data
|
||||
header, base64_data = image_data.split(',', 1)
|
||||
else:
|
||||
base64_data = image_data
|
||||
# Decode the base64 data
|
||||
image_data_bytes = base64.b64decode(base64_data)
|
||||
# Convert bytes to an image
|
||||
image = to_image(image_data_bytes)
|
||||
file_name = self._save_image(image)
|
||||
processed_images.append(Image(url=file_name))
|
||||
elif response_format == "b64_json":
|
||||
if isinstance(image_data, bytes):
|
||||
b64_json = base64.b64encode(image_data).decode('utf-8')
|
||||
else:
|
||||
b64_json = image_data # If already base64-encoded string
|
||||
processed_images.append(Image(b64_json=b64_json))
|
||||
|
||||
return ImagesResponse(processed_images)
|
||||
|
||||
async def _fetch_image(self, url: str) -> bytes:
|
||||
# Asynchronously fetch image data from the URL
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url) as resp:
|
||||
if resp.status == 200:
|
||||
return await resp.read()
|
||||
else:
|
||||
raise Exception(f"Failed to fetch image from {url}, status code {resp.status}")
|
||||
|
||||
def _save_image(self, image: 'PILImage') -> str:
|
||||
os.makedirs('generated_images', exist_ok=True)
|
||||
file_name = f"generated_images/image_{int(time.time())}.png"
|
||||
file_name = f"generated_images/image_{int(time.time())}_{random.randint(0, 10000)}.png"
|
||||
image.save(file_name)
|
||||
return file_name
|
||||
|
||||
async def create_variation(self, image: Union[str, bytes], model: str = None, **kwargs):
|
||||
provider = self.models.get(model, self.provider)
|
||||
if provider is None:
|
||||
raise ValueError(f"Unknown model: {model}")
|
||||
|
||||
if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
|
||||
messages = [{"role": "user", "content": "create a variation of this image"}]
|
||||
image_data = to_data_uri(image)
|
||||
async for response in provider.create_async_generator(model, messages, image=image_data, **kwargs):
|
||||
if isinstance(response, ImageResponse):
|
||||
return self._process_image_response(response)
|
||||
elif isinstance(response, str):
|
||||
image_response = ImageResponse([response], "Image variation")
|
||||
return self._process_image_response(image_response)
|
||||
elif hasattr(provider, 'create_variation'):
|
||||
if asyncio.iscoroutinefunction(provider.create_variation):
|
||||
response = await provider.create_variation(image, **kwargs)
|
||||
else:
|
||||
response = provider.create_variation(image, **kwargs)
|
||||
|
||||
if isinstance(response, ImageResponse):
|
||||
return self._process_image_response(response)
|
||||
elif isinstance(response, str):
|
||||
image_response = ImageResponse([response], "Image variation")
|
||||
return self._process_image_response(image_response)
|
||||
else:
|
||||
raise ValueError(f"Provider {provider} does not support image variation")
|
||||
|
||||
raise NoImageResponseError("Failed to create image variation")
|
||||
|
||||
async def create_variation(self, image: Union[str, bytes], model: str = None, response_format: str = "url", **kwargs):
|
||||
# Existing implementation, adjust if you want to support b64_json here as well
|
||||
pass
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue