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from __future__ import annotations |
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import json |
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import asyncio |
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import re |
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from typing import Union |
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from aiohttp import ClientSession, ClientResponse, ClientResponseError, ClientConnectorError |
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from ..typing import AsyncResult, Messages |
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin |
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from .helper import format_prompt |
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class WeWordle(AsyncGeneratorProvider, ProviderModelMixin): |
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label = "WeWordle" |
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url = "https://chat-gpt.com" |
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api_endpoint = "https://wewordle.org/gptapi/v1/web/turbo" |
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working = True |
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needs_auth = False |
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supports_stream = True |
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supports_system_message = True |
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supports_message_history = True |
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default_model = 'gpt-4' |
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models = [default_model] |
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MAX_RETRIES = 3 |
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INITIAL_RETRY_DELAY_SECONDS = 5 |
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MAX_RETRY_DELAY_SECONDS = 60 |
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POST_REQUEST_DELAY_SECONDS = 1 |
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@staticmethod |
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async def iter_any(response: ClientResponse): |
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if response.headers.get("Transfer-Encoding") == "chunked" or \ |
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response.headers.get("Content-Type") == "text/event-stream": |
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async for chunk in response.content: |
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if chunk: |
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yield chunk.decode() |
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else: |
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content = await response.text() |
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yield content |
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@classmethod |
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async def create_async_generator( |
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cls, |
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model: str, |
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messages: Messages, |
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proxy: str = None, |
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**kwargs |
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) -> AsyncResult: |
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model = cls.get_model(model) |
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raw_url = cls.api_endpoint |
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request_url = raw_url |
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markdown_link_match = re.search(r'\]\((https?://[^\)]+)\)', raw_url) |
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if markdown_link_match: |
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actual_url = markdown_link_match.group(1) |
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request_url = actual_url |
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elif not (raw_url.startswith("http://") or raw_url.startswith("https://")): |
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if "%5B" in raw_url and "%5D" in raw_url and "%28" in raw_url and "%29" in raw_url: |
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try: |
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import urllib.parse |
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decoded_url_outer = urllib.parse.unquote(raw_url) |
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markdown_link_match_decoded = re.search(r'\]\((https?://[^\)]+)\)', decoded_url_outer) |
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if markdown_link_match_decoded: |
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actual_url = markdown_link_match_decoded.group(1) |
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request_url = actual_url |
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else: |
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raise ValueError(f"Invalid API endpoint URL format: {raw_url}") |
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except Exception as e: |
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raise ValueError(f"Invalid API endpoint URL format: {raw_url}") |
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elif not (raw_url.startswith("http://") or raw_url.startswith("https://")): |
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raise ValueError(f"Invalid API endpoint URL format: {raw_url}") |
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headers = { |
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"accept": "*/*", |
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"accept-language": "en-US,en;q=0.9", |
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"cache-control": "no-cache", |
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"content-type": "application/json", |
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"dnt": "1", |
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"origin": "https://chat-gpt.com", |
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"pragma": "no-cache", |
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"priority": "u=1, i", |
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"referer": "https://chat-gpt.com/", |
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"sec-ch-ua": "\"Not.A/Brand\";v=\"99\", \"Chromium\";v=\"136\"", |
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"sec-ch-ua-mobile": "?0", |
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"sec-ch-ua-platform": "\"Linux\"", |
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"sec-fetch-dest": "empty", |
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"sec-fetch-mode": "cors", |
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"sec-fetch-site": "cross-site", |
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36" |
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} |
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if isinstance(messages, list) and all(isinstance(m, dict) and "role" in m and "content" in m for m in messages): |
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data_payload = {"messages": messages, "model": model} |
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else: |
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data_payload = { |
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"messages": messages, |
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"model": model |
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} |
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retries = 0 |
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current_delay = cls.INITIAL_RETRY_DELAY_SECONDS |
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async with ClientSession(headers=headers) as session: |
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while retries <= cls.MAX_RETRIES: |
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try: |
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async with session.post(request_url, json=data_payload, proxy=proxy) as response: |
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if response.status == 429: |
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pass |
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response.raise_for_status() |
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async for chunk in cls.iter_any(response): |
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try: |
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json_data = json.loads(chunk) |
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if isinstance(json_data, dict): |
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if "message" in json_data and isinstance(json_data["message"], dict) and "content" in json_data["message"]: |
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yield json_data["message"]["content"] |
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elif "choices" in json_data and isinstance(json_data["choices"], list) and \ |
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json_data["choices"] and isinstance(json_data["choices"][0], dict) and \ |
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"message" in json_data["choices"][0] and isinstance(json_data["choices"][0]["message"], dict) and \ |
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"content" in json_data["choices"][0]["message"]: |
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yield json_data["choices"][0]["message"]["content"] |
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elif "limit" in json_data and json_data["limit"] == 0: |
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if "error" in json_data and isinstance(json_data["error"], dict) and "message" in json_data["error"]: |
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raise ValueError(f"API error: {json_data['error']['message']}") |
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else: |
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yield chunk |
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else: |
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yield chunk |
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except json.JSONDecodeError: |
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yield chunk |
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await asyncio.sleep(cls.POST_REQUEST_DELAY_SECONDS) |
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return |
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except ClientResponseError as e: |
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if e.status == 429: |
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await asyncio.sleep(current_delay) |
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retries += 1 |
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current_delay = min(current_delay * 2, cls.MAX_RETRY_DELAY_SECONDS) |
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if retries > cls.MAX_RETRIES: |
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raise |
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else: |
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raise |
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except ClientConnectorError as e: |
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await asyncio.sleep(current_delay) |
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retries += 1 |
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current_delay = min(current_delay * 2, cls.MAX_RETRY_DELAY_SECONDS) |
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if retries > cls.MAX_RETRIES: |
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raise |
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except Exception as e: |
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raise |
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raise Exception(f"Failed to get response from {request_url} after multiple retries") |
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