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from __future__ import annotations
import re
import os
import time
import random
import string
from .types import Client as BaseClient
from .types import BaseProvider, ProviderType, FinishReason
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from ..typing import Union, Iterator, Messages, ImageType, AsyncIerator
from ..image import ImageResponse as ImageProviderResponse
from ..errors import NoImageResponseError, RateLimitError, MissingAuthError
from .. import get_model_and_provider, get_last_provider
from .helper import read_json, find_stop
from .Provider.BingCreateImages import BingCreateImages
from .Provider.needs_auth import Gemini, OpenaiChat
from ..Provider.You import You
async def iter_response(
response: AsyncIerator[str],
stream: bool,
response_format: dict = None,
max_tokens: int = None,
stop: list = None
) -> AsyncIterResponse:
content = ""
finish_reason = None
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
count: int = 0
async for chunk in response:
if isinstance(chunk, FinishReason):
finish_reason = chunk.reason
break
content += str(chunk)
count += 1
if max_tokens is not None and count >= max_tokens:
finish_reason = "length"
first, content, chunk = find_stop(stop, content, chunk)
if first != -1:
finish_reason = "stop"
if stream:
yield ChatCompletionChunk(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(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 = read_json(content)
yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
async def iter_append_model_and_provider(response: AsyncIterResponse) -> IterResponse:
last_provider = None
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
class Client(BaseClient):
def __init__(
self,
**kwargs
):
super().__init__(**kwargs)
self.chat: Chat = Chat(self, provider)
self.images: Images = Images(self, image_provider)
class Completions():
def __init__(self, client: Client, provider: ProviderType = None):
self.client: Client = client
self.provider: ProviderType = provider
def create(
self,
messages: Messages,
model: str,
provider: ProviderType = None,
stream: bool = False,
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, Iterator[ChatCompletionChunk]]:
model, provider = get_model_and_provider(
model,
self.provider if provider is None else provider,
stream,
ignored,
ignore_working,
ignore_stream,
**kwargs
)
stop = [stop] if isinstance(stop, str) else stop
response = provider.create_completion(
model, messages, stream,
**filter_none(
proxy=self.client.get_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)
class Chat():
completions: Completions
def __init__(self, client: Client, provider: ProviderType = None):
self.completions = Completions(client, provider)
class ImageModels():
gemini = Gemini
openai = OpenaiChat
you = You
def __init__(self, client: Client) -> None:
self.client = client
self.default = BingCreateImages(proxy=self.client.get_proxy())
def get(self, name: str, default: ImageProvider = None) -> ImageProvider:
return getattr(self, name) if hasattr(self, name) else default or self.default
def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]:
for chunk in list(response):
if isinstance(chunk, ImageProviderResponse):
return ImagesResponse([Image(image) for image in chunk.get_list()])
def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator:
prompt = f"create a image with: {prompt}"
return provider.create_completion(
model,
[{"role": "user", "content": prompt}],
True,
proxy=client.get_proxy(),
**kwargs
)
class Images():
def __init__(self, client: Client, provider: ImageProvider = None):
self.client: Client = client
self.provider: ImageProvider = provider
self.models: ImageModels = ImageModels(client)
def generate(self, prompt, model: str = None, **kwargs) -> ImagesResponse:
provider = self.models.get(model, self.provider)
if isinstance(provider, type) and issubclass(provider, BaseProvider):
response = create_image(self.client, provider, prompt, **kwargs)
else:
try:
response = list(provider.create(prompt))
except (RateLimitError, MissingAuthError) as e:
# Fallback for default provider
if self.provider is None:
response = create_image(self.client, self.models.you, prompt, model or "dall-e", **kwargs)
else:
raise e
image = iter_image_response(response)
if image is None:
raise NoImageResponseError()
return image
def create_variation(self, image: ImageType, model: str = None, **kwargs):
provider = self.models.get(model, self.provider)
result = None
if isinstance(provider, type) and issubclass(provider, BaseProvider):
response = provider.create_completion(
"",
[{"role": "user", "content": "create a image like this"}],
True,
image=image,
proxy=self.client.get_proxy(),
**kwargs
)
for chunk in response:
if isinstance(chunk, ImageProviderResponse):
result = ([chunk.images] if isinstance(chunk.images, str) else chunk.images)
result = ImagesResponse([Image(image)for image in result])
if result is None:
raise NoImageResponseError()
return result
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