mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 11:34:02 +03:00
Update docker tags in workfloe for slim images,
Update read har file in OpenaiChat provider Remove webdriver in OpenaiChat provider Add supported_encodings and supported_encodings in OpenaiChat
This commit is contained in:
parent
ea1448001d
commit
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4
.github/workflows/publish-workflow.yaml
vendored
4
.github/workflows/publish-workflow.yaml
vendored
@ -55,8 +55,8 @@ jobs:
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file: docker/Dockerfile-slim
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push: true
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tags: |
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hlohaus789/g4f=slim
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hlohaus789/g4f=${{ github.ref_name }}-slim
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hlohaus789/g4f:slim-latest
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hlohaus789/g4f:${{ github.ref_name }}-slim
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labels: ${{ steps.metadata.outputs.labels }}
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build-args: |
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G4F_VERSION=${{ github.ref_name }}
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@ -9,22 +9,19 @@ from aiohttp import ClientWebSocketResponse
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from copy import copy
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try:
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import webview
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has_webview = True
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import nodriver
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has_nodriver = True
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except ImportError:
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has_webview = False
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has_nodriver = False
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try:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from platformdirs import user_config_dir
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has_platformdirs = True
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except ImportError:
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pass
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has_platformdirs = False
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ...webdriver import get_browser
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from ...typing import AsyncResult, Messages, Cookies, ImageType, AsyncIterator
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from ...requests import get_args_from_browser, raise_for_status
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from ...requests.raise_for_status import raise_for_status
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from ...requests.aiohttp import StreamSession
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from ...image import ImageResponse, ImageRequest, to_image, to_bytes, is_accepted_format
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from ...errors import MissingAuthError, ResponseError
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@ -63,11 +60,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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default_vision_model = "gpt-4o"
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models = [ "auto", "gpt-4o-mini", "gpt-4o", "gpt-4", "gpt-4-gizmo"]
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model_aliases = {
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#"gpt-4-turbo": "gpt-4",
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#"gpt-4": "gpt-4-gizmo",
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#"dalle": "gpt-4",
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}
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_api_key: str = None
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_headers: dict = None
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_cookies: Cookies = None
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@ -219,9 +211,12 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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"""
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# Create a message object with the user role and the content
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messages = [{
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"id": str(uuid.uuid4()),
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"author": {"role": message["role"]},
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"content": {"content_type": "text", "parts": [message["content"]]},
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"id": str(uuid.uuid4()),
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"create_time": int(time.time()),
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"id": str(uuid.uuid4()),
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"metadata": {"serialization_metadata": {"custom_symbol_offsets": []}}
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} for message in messages]
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# Check if there is an image response
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@ -250,7 +245,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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return messages
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@classmethod
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async def get_generated_image(cls, session: StreamSession, headers: dict, line: dict) -> ImageResponse:
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async def get_generated_image(cls, session: StreamSession, headers: dict, element: dict) -> ImageResponse:
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"""
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Retrieves the image response based on the message content.
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@ -269,15 +264,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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Raises:
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RuntimeError: If there'san error in downloading the image, including issues with the HTTP request or response.
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"""
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if "parts" not in line["message"]["content"]:
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return
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first_part = line["message"]["content"]["parts"][0]
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if "asset_pointer" not in first_part or "metadata" not in first_part:
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return
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if first_part["metadata"] is None or first_part["metadata"]["dalle"] is None:
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return
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prompt = first_part["metadata"]["dalle"]["prompt"]
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file_id = first_part["asset_pointer"].split("file-service://", 1)[1]
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prompt = element["metadata"]["dalle"]["prompt"]
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file_id = element["asset_pointer"].split("file-service://", 1)[1]
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try:
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async with session.get(f"{cls.url}/backend-api/files/{file_id}/download", headers=headers) as response:
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cls._update_request_args(session)
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@ -365,9 +353,10 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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if cls._expires is not None and cls._expires < time.time():
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cls._headers = cls._api_key = None
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arkose_token = None
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proofTokens = None
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proofToken = None
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turnstileToken = None
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try:
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arkose_token, api_key, cookies, headers, proofTokens = await getArkoseAndAccessToken(proxy)
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arkose_token, api_key, cookies, headers, proofToken, turnstileToken = await getArkoseAndAccessToken(proxy)
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cls._create_request_args(cookies, headers)
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cls._set_api_key(api_key)
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except NoValidHarFileError as e:
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@ -400,32 +389,28 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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f"{cls.url}/backend-anon/sentinel/chat-requirements"
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if cls._api_key is None else
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f"{cls.url}/backend-api/sentinel/chat-requirements",
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json={"p": generate_proof_token(True, user_agent=cls._headers["user-agent"], proofTokens=proofTokens)},
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json={"p": generate_proof_token(True, user_agent=cls._headers["user-agent"], proofToken=proofToken)},
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headers=cls._headers
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) as response:
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cls._update_request_args(session)
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await raise_for_status(response)
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requirements = await response.json()
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text_data = json.loads(requirements.get("text", "{}"))
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need_arkose = text_data.get("turnstile", {}).get("required", False)
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if need_arkose:
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arkose_token = text_data.get("turnstile", {}).get("dx")
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else:
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need_arkose = requirements.get("arkose", {}).get("required", False)
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chat_token = requirements["token"]
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chat_requirements = await response.json()
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need_turnstile = chat_requirements.get("turnstile", {}).get("required", False)
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need_arkose = chat_requirements.get("arkose", {}).get("required", False)
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chat_token = chat_requirements.get("token")
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if need_arkose and arkose_token is None:
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arkose_token, api_key, cookies, headers, proofTokens = await getArkoseAndAccessToken(proxy)
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arkose_token, api_key, cookies, headers, proofToken, turnstileToken = await getArkoseAndAccessToken(proxy)
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cls._create_request_args(cookies, headers)
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cls._set_api_key(api_key)
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if arkose_token is None:
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raise MissingAuthError("No arkose token found in .har file")
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if "proofofwork" in requirements:
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if "proofofwork" in chat_requirements:
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proofofwork = generate_proof_token(
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**requirements["proofofwork"],
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**chat_requirements["proofofwork"],
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user_agent=cls._headers["user-agent"],
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proofTokens=proofTokens
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proofToken=proofToken
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)
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if debug.logging:
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print(
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@ -441,15 +426,18 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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websocket_request_id = str(uuid.uuid4())
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data = {
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"action": action,
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"conversation_mode": {"kind": "primary_assistant"},
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"force_paragen": False,
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"force_rate_limit": False,
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"conversation_id": conversation.conversation_id,
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"messages": None,
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"parent_message_id": conversation.message_id,
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"model": model,
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"paragen_cot_summary_display_override": "allow",
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"history_and_training_disabled": history_disabled and not auto_continue and not return_conversation,
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"websocket_request_id": websocket_request_id
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"conversation_mode": {"kind":"primary_assistant"},
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"websocket_request_id": websocket_request_id,
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"supported_encodings": ["v1"],
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"supports_buffering": True
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}
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if conversation.conversation_id is not None:
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data["conversation_id"] = conversation.conversation_id
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if action != "continue":
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messages = messages if conversation_id is None else [messages[-1]]
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data["messages"] = cls.create_messages(messages, image_request)
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@ -458,10 +446,12 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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"Openai-Sentinel-Chat-Requirements-Token": chat_token,
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**cls._headers
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}
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if need_arkose:
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if arkose_token:
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headers["Openai-Sentinel-Arkose-Token"] = arkose_token
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if proofofwork is not None:
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headers["Openai-Sentinel-Proof-Token"] = proofofwork
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if need_turnstile and turnstileToken is not None:
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headers['openai-sentinel-turnstile-token'] = turnstileToken
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async with session.post(
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f"{cls.url}/backend-anon/conversation"
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if cls._api_key is None else
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@ -510,7 +500,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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fields: Conversation,
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ws = None
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) -> AsyncIterator:
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last_message: int = 0
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async for message in messages:
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if message.startswith(b'{"wss_url":'):
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message = json.loads(message)
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@ -527,10 +516,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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async for chunk in cls.iter_messages_line(session, message, fields):
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if fields.finish_reason is not None:
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break
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elif isinstance(chunk, str):
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if len(chunk) > last_message:
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yield chunk[last_message:]
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last_message = len(chunk)
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else:
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yield chunk
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if fields.finish_reason is not None:
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@ -548,82 +533,50 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
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line = json.loads(line[6:])
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except:
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return
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if "message" not in line:
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if isinstance(line, dict) and "v" in line:
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v = line.get("v")
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r = ""
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if isinstance(v, str):
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yield v
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elif isinstance(v, list):
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for m in v:
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if m.get("p") == "/message/content/parts/0":
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yield m.get("v")
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elif m.get("p") == "/message/metadata":
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fields.finish_reason = m.get("v", {}).get("finish_details", {}).get("type")
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break
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elif isinstance(v, dict):
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if fields.conversation_id is None:
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fields.conversation_id = v.get("conversation_id")
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fields.message_id = v.get("message", {}).get("id")
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c = v.get("message", {}).get("content", {})
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if c.get("content_type") == "multimodal_text":
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generated_images = []
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for element in c.get("parts"):
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if element.get("content_type") == "image_asset_pointer":
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generated_images.append(
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cls.get_generated_image(session, cls._headers, element)
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)
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elif element.get("content_type") == "text":
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for part in element.get("parts", []):
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yield part
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for image_response in await asyncio.gather(*generated_images):
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yield image_response
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return
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if "error" in line and line["error"]:
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raise RuntimeError(line["error"])
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if "message_type" not in line["message"]["metadata"]:
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return
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image_response = await cls.get_generated_image(session, cls._headers, line)
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if image_response is not None:
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yield image_response
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if line["message"]["author"]["role"] != "assistant":
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return
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if line["message"]["content"]["content_type"] != "text":
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return
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if line["message"]["metadata"]["message_type"] not in ("next", "continue", "variant"):
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return
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if line["message"]["recipient"] != "all":
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return
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if fields.conversation_id is None:
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fields.conversation_id = line["conversation_id"]
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fields.message_id = line["message"]["id"]
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if "parts" in line["message"]["content"]:
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yield line["message"]["content"]["parts"][0]
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if "finish_details" in line["message"]["metadata"]:
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fields.finish_reason = line["message"]["metadata"]["finish_details"]["type"]
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@classmethod
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async def webview_access_token(cls) -> str:
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window = webview.create_window("OpenAI Chat", cls.url)
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await asyncio.sleep(3)
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prompt_input = None
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while not prompt_input:
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try:
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await asyncio.sleep(1)
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prompt_input = window.dom.get_element("#prompt-textarea")
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except:
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...
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window.evaluate_js("""
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this._fetch = this.fetch;
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this.fetch = async (url, options) => {
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const response = await this._fetch(url, options);
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if (url == "https://chatgpt.com/backend-api/conversation") {
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this._headers = options.headers;
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return response;
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}
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return response;
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};
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""")
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window.evaluate_js("""
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document.querySelector('.from-token-main-surface-secondary').click();
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""")
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headers = None
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while headers is None:
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headers = window.evaluate_js("this._headers")
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await asyncio.sleep(1)
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headers["User-Agent"] = window.evaluate_js("this.navigator.userAgent")
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cookies = [list(*cookie.items()) for cookie in window.get_cookies()]
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window.destroy()
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cls._cookies = dict([(name, cookie.value) for name, cookie in cookies])
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cls._headers = headers
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cls._expires = int(time.time()) + 60 * 60 * 4
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cls._update_cookie_header()
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if "error" in line and line.get("error"):
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raise RuntimeError(line.get("error"))
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@classmethod
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async def nodriver_access_token(cls, proxy: str = None):
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try:
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import nodriver as uc
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except ImportError:
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if not has_nodriver:
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return
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try:
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from platformdirs import user_config_dir
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if has_platformdirs:
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user_data_dir = user_config_dir("g4f-nodriver")
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except:
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else:
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user_data_dir = None
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if debug.logging:
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print(f"Open nodriver with user_dir: {user_data_dir}")
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browser = await uc.start(
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browser = await nodriver.start(
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user_data_dir=user_data_dir,
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browser_args=None if proxy is None else [f"--proxy-server={proxy}"],
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)
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@ -649,48 +602,6 @@ this.fetch = async (url, options) => {
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cls._create_request_args(cookies, user_agent=user_agent)
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cls._set_api_key(api_key)
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@classmethod
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def browse_access_token(cls, proxy: str = None, timeout: int = 1200) -> None:
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"""
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Browse to obtain an access token.
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Args:
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proxy (str): Proxy to use for browsing.
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Returns:
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tuple[str, dict]: A tuple containing the access token and cookies.
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"""
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driver = get_browser(proxy=proxy)
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try:
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driver.get(f"{cls.url}/")
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WebDriverWait(driver, timeout).until(EC.presence_of_element_located((By.ID, "prompt-textarea")))
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access_token = driver.execute_script(
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"let session = await fetch('/api/auth/session');"
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"let data = await session.json();"
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"let accessToken = data['accessToken'];"
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"let expires = new Date(); expires.setTime(expires.getTime() + 60 * 60 * 4 * 1000);"
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"document.cookie = 'access_token=' + accessToken + ';expires=' + expires.toUTCString() + ';path=/';"
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"return accessToken;"
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)
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args = get_args_from_browser(f"{cls.url}/", driver, do_bypass_cloudflare=False)
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cls._headers = args["headers"]
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cls._cookies = args["cookies"]
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cls._update_cookie_header()
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cls._set_api_key(access_token)
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finally:
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driver.close()
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@classmethod
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async def fetch_access_token(cls, session: StreamSession, headers: dict):
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async with session.get(
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f"{cls.url}/api/auth/session",
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headers=headers
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) as response:
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if response.ok:
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data = await response.json()
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if "accessToken" in data:
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return data["accessToken"]
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@staticmethod
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def get_default_headers() -> dict:
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return {
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|
@ -27,16 +27,18 @@ class arkReq:
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self.arkCookies = arkCookies
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self.userAgent = userAgent
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arkPreURL = "https://tcr9i.chat.openai.com/fc/gt2/public_key/35536E1E-65B4-4D96-9D97-6ADB7EFF8147"
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sessionUrl = "https://chatgpt.com/"
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chatArk: arkReq = None
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arkoseURL = "https://tcr9i.chat.openai.com/fc/gt2/public_key/35536E1E-65B4-4D96-9D97-6ADB7EFF8147"
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startUrl = "https://chatgpt.com/"
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conversationUrl = "https://chatgpt.com/c/"
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arkoseRequest: arkReq = None
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accessToken: str = None
|
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cookies: dict = None
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headers: dict = None
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proofTokens: list = []
|
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proofToken: list = []
|
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turnstileToken: str = None
|
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def readHAR():
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global proofTokens
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global arkoseRequest, accessToken, proofToken, turnstileToken
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harPath = []
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chatArks = []
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accessToken = None
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@ -58,15 +60,17 @@ def readHAR():
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v_headers = get_headers(v)
|
||||
try:
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if "openai-sentinel-proof-token" in v_headers:
|
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proofTokens.append(json.loads(base64.b64decode(
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proofToken = json.loads(base64.b64decode(
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||||
v_headers["openai-sentinel-proof-token"].split("gAAAAAB", 1)[-1].encode()
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||||
).decode()))
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||||
).decode())
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if "openai-sentinel-turnstile-token" in v_headers:
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turnstileToken = v_headers["openai-sentinel-turnstile-token"]
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||||
except Exception as e:
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if debug.logging:
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print(f"Read proof token: {e}")
|
||||
if arkPreURL in v['request']['url']:
|
||||
chatArks.append(parseHAREntry(v))
|
||||
elif v['request']['url'] == sessionUrl:
|
||||
if arkoseURL in v['request']['url']:
|
||||
arkoseRequest = parseHAREntry(v)
|
||||
elif v['request']['url'] == startUrl or v['request']['url'].startswith(conversationUrl):
|
||||
try:
|
||||
match = re.search(r'"accessToken":"(.*?)"', v["response"]["content"]["text"])
|
||||
if match:
|
||||
@ -78,8 +82,8 @@ def readHAR():
|
||||
if not accessToken:
|
||||
raise NoValidHarFileError("No accessToken found in .har files")
|
||||
if not chatArks:
|
||||
return None, accessToken, cookies, headers
|
||||
return chatArks.pop(), accessToken, cookies, headers
|
||||
return cookies, headers
|
||||
return cookies, headers
|
||||
|
||||
def get_headers(entry) -> dict:
|
||||
return {h['name'].lower(): h['value'] for h in entry['request']['headers'] if h['name'].lower() not in ['content-length', 'cookie'] and not h['name'].startswith(':')}
|
||||
@ -110,7 +114,7 @@ def genArkReq(chatArk: arkReq) -> arkReq:
|
||||
tmpArk.arkHeader['x-ark-esync-value'] = bw
|
||||
return tmpArk
|
||||
|
||||
async def sendRequest(tmpArk: arkReq, proxy: str = None):
|
||||
async def sendRequest(tmpArk: arkReq, proxy: str = None) -> str:
|
||||
async with StreamSession(headers=tmpArk.arkHeader, cookies=tmpArk.arkCookies, proxies={"https": proxy}) as session:
|
||||
async with session.post(tmpArk.arkURL, data=tmpArk.arkBody) as response:
|
||||
data = await response.json()
|
||||
@ -144,10 +148,10 @@ def getN() -> str:
|
||||
return base64.b64encode(timestamp.encode()).decode()
|
||||
|
||||
async def getArkoseAndAccessToken(proxy: str) -> tuple[str, str, dict, dict]:
|
||||
global chatArk, accessToken, cookies, headers, proofTokens
|
||||
if chatArk is None or accessToken is None:
|
||||
chatArk, accessToken, cookies, headers = readHAR()
|
||||
if chatArk is None:
|
||||
return None, accessToken, cookies, headers, proofTokens
|
||||
newReq = genArkReq(chatArk)
|
||||
return await sendRequest(newReq, proxy), accessToken, cookies, headers, proofTokens
|
||||
global arkoseRequest, accessToken, cookies, headers, proofToken, turnstileToken
|
||||
if arkoseRequest is None or accessToken is None:
|
||||
cookies, headers = readHAR()
|
||||
if arkoseRequest is None:
|
||||
return None, accessToken, cookies, headers, proofToken, turnstileToken
|
||||
newReq = genArkReq(arkoseRequest)
|
||||
return await sendRequest(newReq, proxy), accessToken, cookies, headers, proofToken, turnstileToken
|
||||
|
@ -4,18 +4,16 @@ import json
|
||||
import base64
|
||||
from datetime import datetime, timezone
|
||||
|
||||
def generate_proof_token(required: bool, seed: str = "", difficulty: str = "", user_agent: str = None, proofTokens: list = None):
|
||||
def generate_proof_token(required: bool, seed: str = "", difficulty: str = "", user_agent: str = None, proofToken: str = None):
|
||||
if not required:
|
||||
return
|
||||
|
||||
if proofTokens:
|
||||
config = proofTokens[-1]
|
||||
else:
|
||||
if proofToken is None:
|
||||
screen = random.choice([3008, 4010, 6000]) * random.choice([1, 2, 4])
|
||||
# Get current UTC time
|
||||
now_utc = datetime.now(timezone.utc)
|
||||
parse_time = now_utc.strftime('%a, %d %b %Y %H:%M:%S GMT')
|
||||
config = [
|
||||
proofToken = [
|
||||
screen, parse_time,
|
||||
None, 0, user_agent,
|
||||
"https://tcr9i.chat.openai.com/v2/35536E1E-65B4-4D96-9D97-6ADB7EFF8147/api.js",
|
||||
@ -28,8 +26,8 @@ def generate_proof_token(required: bool, seed: str = "", difficulty: str = "", u
|
||||
|
||||
diff_len = len(difficulty)
|
||||
for i in range(100000):
|
||||
config[3] = i
|
||||
json_data = json.dumps(config)
|
||||
proofToken[3] = i
|
||||
json_data = json.dumps(proofToken)
|
||||
base = base64.b64encode(json_data.encode()).decode()
|
||||
hash_value = hashlib.sha3_512((seed + base).encode()).digest()
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user