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from __future__ import annotations
import re
from .typing import Union, Generator, AsyncGenerator, Messages, ImageType
from .base_provider import BaseProvider, ProviderType
from .Provider.base_provider import AsyncGeneratorProvider
from .image import ImageResponse as ImageProviderResponse
from .Provider import BingCreateImages, Gemini, OpenaiChat
from .errors import NoImageResponseError
from . import get_model_and_provider
ImageProvider = Union[BaseProvider, object]
Proxies = Union[dict, str]
def read_json(text: str) -> dict:
"""
Parses JSON code block from a string.
Args:
text (str): A string containing a JSON code block.
Returns:
dict: A dictionary parsed from the JSON code block.
"""
match = re.search(r"```(json|)\n(?P<code>[\S\s]+?)\n```", text)
if match:
return match.group("code")
return text
def iter_response(
response: iter,
stream: bool,
response_format: dict = None,
max_tokens: int = None,
stop: list = None
) -> Generator:
content = ""
idx = 1
chunk = None
finish_reason = "stop"
for idx, chunk in enumerate(response):
content += str(chunk)
if max_tokens is not None and idx > max_tokens:
finish_reason = "max_tokens"
break
first = -1
word = None
if stop is not None:
for word in list(stop):
first = content.find(word)
if first != -1:
content = content[:first]
break
if stream:
if first != -1:
first = chunk.find(word)
if first != -1:
chunk = chunk[:first]
else:
first = 0
yield ChatCompletionChunk([ChatCompletionDeltaChoice(ChatCompletionDelta(chunk))])
if first != -1:
break
if not stream:
if response_format is not None and "type" in response_format:
if response_format["type"] == "json_object":
response = read_json(response)
yield ChatCompletion([ChatCompletionChoice(ChatCompletionMessage(response, finish_reason))])
async def aiter_response(
response: aiter,
stream: bool,
response_format: dict = None,
max_tokens: int = None,
stop: list = None
) -> AsyncGenerator:
content = ""
try:
idx = 0
chunk = None
async for chunk in response:
content += str(chunk)
if max_tokens is not None and idx > max_tokens:
break
first = -1
word = None
if stop is not None:
for word in list(stop):
first = content.find(word)
if first != -1:
content = content[:first]
break
if stream:
if first != -1:
first = chunk.find(word)
if first != -1:
chunk = chunk[:first]
else:
first = 0
yield ChatCompletionChunk([ChatCompletionDeltaChoice(ChatCompletionDelta(chunk))])
if first != -1:
break
idx += 1
except:
...
if not stream:
if response_format is not None and "type" in response_format:
if response_format["type"] == "json_object":
response = read_json(response)
yield ChatCompletion([ChatCompletionChoice(ChatCompletionMessage(response))])
class Model():
def __getitem__(self, item):
return getattr(self, item)
class ChatCompletion(Model):
def __init__(self, choices: list):
self.choices = choices
class ChatCompletionChunk(Model):
def __init__(self, choices: list):
self.choices = choices
class ChatCompletionChoice(Model):
def __init__(self, message: ChatCompletionMessage):
self.message = message
class ChatCompletionMessage(Model):
def __init__(self, content: str, finish_reason: str):
self.content = content
self.finish_reason = finish_reason
self.index = 0
self.logprobs = None
class ChatCompletionDelta(Model):
def __init__(self, content: str):
self.content = content
class ChatCompletionDeltaChoice(Model):
def __init__(self, delta: ChatCompletionDelta):
self.delta = delta
class Client():
proxies: Proxies = None
chat: Chat
def __init__(
self,
provider: ProviderType = None,
image_provider: ImageProvider = None,
proxies: Proxies = None,
**kwargs
) -> None:
self.proxies: Proxies = proxies
self.images = Images(self, image_provider)
self.chat = Chat(self, provider)
def get_proxy(self) -> Union[str, None]:
if isinstance(self.proxies, str) or self.proxies is None:
return self.proxies
elif "all" in self.proxies:
return self.proxies["all"]
elif "https" in self.proxies:
return self.proxies["https"]
return None
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: list = None,
**kwargs
) -> Union[dict, Generator]:
if max_tokens is not None:
kwargs["max_tokens"] = max_tokens
if stop:
kwargs["stop"] = list(stop)
model, provider = get_model_and_provider(
model,
self.provider if provider is None else provider,
stream,
**kwargs
)
response = provider.create_completion(model, messages, stream=stream, **kwargs)
if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
response = iter_response(response, stream, response_format) # max_tokens, stop
else:
response = iter_response(response, stream, response_format, max_tokens, stop)
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
def __init__(self, client: Client) -> None:
self.client = client
self.default = BingCreateImages(proxy=self.client.get_proxy())
def get(self, name: str) -> ImageProvider:
return getattr(self, name) if hasattr(self, name) else self.default
class ImagesResponse(Model):
data: list[Image]
def __init__(self, data: list) -> None:
self.data = data
class Image(Model):
url: str
def __init__(self, url: str) -> None:
self.url = url
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):
provider = self.models.get(model) if model else self.provider or self.models.get(model)
if isinstance(provider, BaseProvider) or isinstance(provider, type) and issubclass(provider, BaseProvider):
prompt = f"create a image: {prompt}"
response = provider.create_completion(
"",
[{"role": "user", "content": prompt}],
True,
proxy=self.client.get_proxy(),
**kwargs
)
else:
response = provider.create(prompt)
for chunk in response:
if isinstance(chunk, ImageProviderResponse):
return ImagesResponse([Image(image)for image in list(chunk.images)])
raise NoImageResponseError()
def create_variation(self, image: ImageType, model: str = None, **kwargs):
provider = self.models.get(model) if model else 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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