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from __future__ import annotations
import os
import time
import random
import string
import asyncio
import base64
from typing import Union, AsyncIterator, Iterator, Coroutine, Optional
from ..providers.base_provider import AsyncGeneratorProvider
from ..image import ImageResponse, copy_images, images_dir
from ..typing import Messages, Image, ImageType
from ..providers.types import ProviderType
from ..providers.response import ResponseType, FinishReason, BaseConversation, SynthesizeData
from ..errors import NoImageResponseError, ModelNotFoundError
from ..providers.retry_provider import IterListProvider
from ..providers.asyncio import get_running_loop, to_sync_generator, async_generator_to_list
from ..Provider.needs_auth import BingCreateImages, OpenaiAccount
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from .image_models import ImageModels
from .types import IterResponse, ImageProvider, Client as BaseClient
from .service import get_model_and_provider, get_last_provider, convert_to_provider
from .helper import find_stop, filter_json, filter_none, safe_aclose, to_async_iterator
ChatCompletionResponseType = Iterator[Union[ChatCompletion, ChatCompletionChunk, BaseConversation]]
AsyncChatCompletionResponseType = AsyncIterator[Union[ChatCompletion, ChatCompletionChunk, BaseConversation]]
try:
anext # Python 3.8+
except NameError:
async def anext(aiter):
try:
return await aiter.__anext__()
except StopAsyncIteration:
raise StopIteration
# Synchronous iter_response function
def iter_response(
response: Union[Iterator[Union[str, ResponseType]]],
stream: bool,
response_format: Optional[dict] = None,
max_tokens: Optional[int] = None,
stop: Optional[list[str]] = None
) -> ChatCompletionResponseType:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
idx = 0
if hasattr(response, '__aiter__'):
response = to_sync_generator(response)
for chunk in response:
if isinstance(chunk, FinishReason):
finish_reason = chunk.reason
break
elif isinstance(chunk, BaseConversation):
yield chunk
continue
elif isinstance(chunk, SynthesizeData):
continue
chunk = str(chunk)
content += 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.model_construct(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.model_construct(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.model_construct(content, finish_reason, completion_id, int(time.time()))
# Synchronous iter_append_model_and_provider function
def iter_append_model_and_provider(response: ChatCompletionResponseType) -> ChatCompletionResponseType:
last_provider = None
for chunk in response:
if isinstance(chunk, (ChatCompletion, ChatCompletionChunk)):
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 async_iter_response(
response: AsyncIterator[Union[str, ResponseType]],
stream: bool,
response_format: Optional[dict] = None,
max_tokens: Optional[int] = None,
stop: Optional[list[str]] = None
) -> AsyncChatCompletionResponseType:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
idx = 0
try:
async for chunk in response:
if isinstance(chunk, FinishReason):
finish_reason = chunk.reason
break
elif isinstance(chunk, BaseConversation):
yield chunk
continue
elif isinstance(chunk, SynthesizeData):
continue
chunk = str(chunk)
content += chunk
idx += 1
if max_tokens is not None and idx >= 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.model_construct(chunk, None, completion_id, int(time.time()))
if finish_reason is not None:
break
finish_reason = "stop" if finish_reason is None else finish_reason
if stream:
yield ChatCompletionChunk.model_construct(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.model_construct(content, finish_reason, completion_id, int(time.time()))
finally:
await safe_aclose(response)
async def async_iter_append_model_and_provider(
response: AsyncChatCompletionResponseType
) -> AsyncChatCompletionResponseType:
last_provider = None
try:
async for chunk in response:
if isinstance(chunk, (ChatCompletion, ChatCompletionChunk)):
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
finally:
await safe_aclose(response)
class Client(BaseClient):
def __init__(
self,
provider: Optional[ProviderType] = None,
image_provider: Optional[ImageProvider] = None,
**kwargs
) -> None:
super().__init__(**kwargs)
self.chat: Chat = Chat(self, provider)
self.images: Images = Images(self, image_provider)
class Completions:
def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.client: Client = client
self.provider: ProviderType = provider
def create(
self,
messages: Messages,
model: str,
provider: Optional[ProviderType] = None,
stream: Optional[bool] = False,
proxy: Optional[str] = None,
response_format: Optional[dict] = None,
max_tokens: Optional[int] = None,
stop: Optional[Union[list[str], str]] = None,
api_key: Optional[str] = None,
ignored: Optional[list[str]] = None,
ignore_working: Optional[bool] = False,
ignore_stream: Optional[bool] = False,
**kwargs
) -> IterResponse:
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
response = provider.create_completion(
model,
messages,
stream=stream,
**filter_none(
proxy=self.client.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 asyncio.iscoroutinefunction(provider.create_completion):
# Run the asynchronous function in an event loop
response = asyncio.run(response)
if stream and hasattr(response, '__aiter__'):
# It's an async generator, wrap it into a sync iterator
response = to_sync_generator(response)
elif hasattr(response, '__aiter__'):
# If response is an async generator, collect it into a list
response = asyncio.run(async_generator_to_list(response))
response = iter_response(response, stream, response_format, max_tokens, stop)
response = iter_append_model_and_provider(response)
if stream:
return response
else:
return next(response)
class Chat:
completions: Completions
def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.completions = Completions(client, provider)
class Images:
def __init__(self, client: Client, provider: Optional[ProviderType] = None):
self.client: Client = client
self.provider: Optional[ProviderType] = provider
self.models: ImageModels = ImageModels(client)
def generate(
self,
prompt: str,
model: str = None,
provider: Optional[ProviderType] = None,
response_format: str = "url",
proxy: Optional[str] = None,
**kwargs
) -> ImagesResponse:
"""
Synchronous generate method that runs the async_generate method in an event loop.
"""
return asyncio.run(self.async_generate(prompt, model, provider, response_format, proxy, **kwargs))
async def get_provider_handler(self, model: Optional[str], provider: Optional[ImageProvider], default: ImageProvider) -> ImageProvider:
if provider is None:
provider_handler = self.provider
if provider_handler is None:
provider_handler = self.models.get(model, default)
elif isinstance(provider, str):
provider_handler = convert_to_provider(provider)
else:
provider_handler = provider
if provider_handler is None:
return default
if isinstance(provider_handler, IterListProvider):
if provider_handler.providers:
provider_handler = provider_handler.providers[0]
else:
raise ModelNotFoundError(f"IterListProvider for model {model} has no providers")
return provider_handler
async def async_generate(
self,
prompt: str,
model: Optional[str] = None,
provider: Optional[ProviderType] = None,
response_format: Optional[str] = "url",
proxy: Optional[str] = None,
**kwargs
) -> ImagesResponse:
provider_handler = await self.get_provider_handler(model, provider, BingCreateImages)
if proxy is None:
proxy = self.client.proxy
response = None
if hasattr(provider_handler, "create_async_generator"):
messages = [{"role": "user", "content": f"Generate a image: {prompt}"}]
async for item in provider_handler.create_async_generator(model, messages, prompt=prompt, **kwargs):
if isinstance(item, ImageResponse):
response = item
break
elif hasattr(provider_handler, 'create'):
if asyncio.iscoroutinefunction(provider_handler.create):
response = await provider_handler.create(prompt)
else:
response = provider_handler.create(prompt)
if isinstance(response, str):
response = ImageResponse([response], prompt)
elif hasattr(provider_handler, "create_completion"):
get_running_loop(check_nested=True)
messages = [{"role": "user", "content": f"Generate a image: {prompt}"}]
for item in provider_handler.create_completion(model, messages, prompt=prompt, **kwargs):
if isinstance(item, ImageResponse):
response = item
break
else:
raise ValueError(f"Provider {getattr(provider_handler, '__name__')} does not support image generation")
if isinstance(response, ImageResponse):
return await self._process_image_response(
response,
response_format,
proxy,
model,
getattr(provider_handler, "__name__", None)
)
if response is None:
raise NoImageResponseError(f"No image response from {getattr(provider_handler, '__name__')}")
raise NoImageResponseError(f"Unexpected response type: {type(response)}")
def create_variation(
self,
image: Union[str, bytes],
model: str = None,
provider: Optional[ProviderType] = None,
response_format: str = "url",
**kwargs
) -> ImagesResponse:
return asyncio.run(self.async_create_variation(
image, model, provider, response_format, **kwargs
))
async def async_create_variation(
self,
image: ImageType,
model: Optional[str] = None,
provider: Optional[ProviderType] = None,
response_format: str = "url",
proxy: Optional[str] = None,
**kwargs
) -> ImagesResponse:
provider_handler = await self.get_provider_handler(model, provider, OpenaiAccount)
if proxy is None:
proxy = self.client.proxy
if hasattr(provider_handler, "create_async_generator"):
messages = [{"role": "user", "content": "create a variation of this image"}]
generator = None
try:
generator = provider_handler.create_async_generator(model, messages, image=image, response_format=response_format, proxy=proxy, **kwargs)
async for chunk in generator:
if isinstance(chunk, ImageResponse):
response = chunk
break
finally:
await safe_aclose(generator)
elif hasattr(provider_handler, 'create_variation'):
if asyncio.iscoroutinefunction(provider.provider_handler):
response = await provider_handler.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
else:
response = provider_handler.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
else:
raise NoImageResponseError(f"Provider {provider} does not support image variation")
if isinstance(response, str):
response = ImageResponse([response])
if isinstance(response, ImageResponse):
return self._process_image_response(response, response_format, proxy, model, getattr(provider, "__name__", None))
if response is None:
raise NoImageResponseError(f"No image response from {getattr(provider, '__name__')}")
raise NoImageResponseError(f"Unexpected response type: {type(response)}")
async def _process_image_response(
self,
response: ImageResponse,
response_format: str,
proxy: str = None,
model: Optional[str] = None,
provider: Optional[str] = None
) -> list[Image]:
if response_format in ("url", "b64_json"):
images = await copy_images(response.get_list(), response.options.get("cookies"), proxy)
async def process_image_item(image_file: str) -> Image:
if response_format == "b64_json":
with open(os.path.join(images_dir, os.path.basename(image_file)), "rb") as file:
image_data = base64.b64encode(file.read()).decode()
return Image.model_construct(url=image_file, b64_json=image_data, revised_prompt=response.alt)
return Image.model_construct(url=image_file, revised_prompt=response.alt)
images = await asyncio.gather(*[process_image_item(image) for image in images])
else:
images = [Image.model_construct(url=image, revised_prompt=response.alt) for image in response.get_list()]
last_provider = get_last_provider(True)
return ImagesResponse.model_construct(
images,
model=last_provider.get("model") if model is None else model,
provider=last_provider.get("name") if provider is None else provider
)
class AsyncClient(BaseClient):
def __init__(
self,
provider: Optional[ProviderType] = None,
image_provider: Optional[ImageProvider] = None,
**kwargs
) -> None:
super().__init__(**kwargs)
self.chat: AsyncChat = AsyncChat(self, provider)
self.images: AsyncImages = AsyncImages(self, image_provider)
class AsyncChat:
completions: AsyncCompletions
def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.completions = AsyncCompletions(client, provider)
class AsyncCompletions:
def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.client: AsyncClient = client
self.provider: ProviderType = provider
def create(
self,
messages: Messages,
model: str,
provider: Optional[ProviderType] = None,
stream: Optional[bool] = False,
proxy: Optional[str] = None,
response_format: Optional[dict] = None,
max_tokens: Optional[int] = None,
stop: Optional[Union[list[str], str]] = None,
api_key: Optional[str] = None,
ignored: Optional[list[str]] = None,
ignore_working: Optional[bool] = False,
ignore_stream: Optional[bool] = False,
**kwargs
) -> Union[Coroutine[ChatCompletion], AsyncIterator[ChatCompletionChunk, BaseConversation]]:
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 hasattr(provider, "create_async_generator"):
create_handler = provider.create_async_generator
else:
create_handler = provider.create_completion
response = create_handler(
model,
messages,
stream=stream,
**filter_none(
proxy=self.client.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 not isinstance(response, AsyncIterator):
response = to_async_iterator(response)
response = async_iter_response(response, stream, response_format, max_tokens, stop)
response = async_iter_append_model_and_provider(response)
return response if stream else anext(response)
class AsyncImages(Images):
def __init__(self, client: AsyncClient, provider: Optional[ProviderType] = None):
self.client: AsyncClient = client
self.provider: Optional[ProviderType] = provider
self.models: ImageModels = ImageModels(client)
async def generate(
self,
prompt: str,
model: Optional[str] = None,
provider: Optional[ProviderType] = None,
response_format: str = "url",
**kwargs
) -> ImagesResponse:
return await self.async_generate(prompt, model, provider, response_format, **kwargs)
async def create_variation(
self,
image: ImageType,
model: str = None,
provider: ProviderType = None,
response_format: str = "url",
**kwargs
) -> ImagesResponse:
return await self.async_create_variation(
image, model, provider, response_format, **kwargs
) |