gpt4free/g4f/client.py

from __future__ import annotations

import re
import os
import time
import random
import string

from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from .typing import Union, Generator, Messages, ImageType
from .providers.types import BaseProvider, ProviderType
from .image import ImageResponse as ImageProviderResponse
from .Provider.BingCreateImages import BingCreateImages
from .Provider.needs_auth import Gemini, OpenaiChat
from .errors import NoImageResponseError
from . import get_model_and_provider, get_last_provider

ImageProvider = Union[BaseProvider, object]
Proxies = Union[dict, str]
IterResponse = Generator[Union[ChatCompletion, ChatCompletionChunk], None, None]

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[str],
    stream: bool,
    response_format: dict = None,
    max_tokens: int = None,
    stop: list = None
) -> IterResponse:
    content = ""
    finish_reason = None
    completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
    for idx, chunk in enumerate(response):
        content += str(chunk)
        if max_tokens is not None and idx + 1 >= max_tokens:
            finish_reason = "length"
        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 and first != -1:
                first = chunk.find(word)
                if first != -1:
                    chunk = chunk[:first]
                else:
                    first = 0
        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()))

def iter_append_model_and_provider(response: IterResponse) -> IterResponse:
    last_provider = None
    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():

    def __init__(
        self,
        api_key: str = None,
        proxies: Proxies = None,
        provider: ProviderType = None,
        image_provider: ImageProvider = None,
        **kwargs
    ) -> None:
        self.api_key: str = api_key
        self.proxies: Proxies = proxies
        self.chat: Chat = Chat(self, provider)
        self.images: Images = Images(self, image_provider)

    def get_proxy(self) -> Union[str, None]:
        if isinstance(self.proxies, str):
            return self.proxies
        elif self.proxies is None:
            return os.environ.get("G4F_PROXY")
        elif "all" in self.proxies:
            return self.proxies["all"]
        elif "https" in self.proxies:
            return self.proxies["https"]

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,
        **kwargs
    ) -> Union[ChatCompletion, Generator[ChatCompletionChunk]]:
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            **kwargs
        )
        stop = [stop] if isinstance(stop, str) else stop
        response = provider.create_completion(
            model, messages, stream,
            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

    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

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, self.provider)
        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):
                images = [chunk.images] if isinstance(chunk.images, str) else chunk.images
                return ImagesResponse([Image(image) for image in images])
        raise NoImageResponseError()

    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