greydgl--pentestgpt
Grey_D
275 行
10 KiB
Python
275 行
10 KiB
Python
# -*- coding: utf-8 -*-
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import dataclasses
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import json
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import re
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import time
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from typing import Any, Dict, List, Tuple
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from uuid import uuid1
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import loguru
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import requests
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from config.chatgpt_config import ChatGPTConfig
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logger = loguru.logger
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logger.remove()
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logger.add(level="WARNING", sink="logs/chatgpt.log")
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# A sample ChatGPTConfig class has the following structure. All fields can be obtained from the browser's cookie.
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# In particular, cf_clearance、__Secure-next-auth.session-token、_puid are required.
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# Update: the login is currently not available. The current solution is to paste in the full cookie.
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# @dataclasses.dataclass
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# class ChatGPTConfig:
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# model: str = "text-davinci-002-render-sha"
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# _puid: str = ""
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# cf_clearance: str = ""
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# session_token: str = ""
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# error_wait_time: float = 20
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# is_debugging: bool = False
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@dataclasses.dataclass
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class Message:
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ask_id: str = None
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ask: dict = None
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answer: dict = None
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answer_id: str = None
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request_start_timestamp: float = None
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request_end_timestamp: float = None
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time_escaped: float = None
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@dataclasses.dataclass
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class Conversation:
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conversation_id: str = None
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message_list: List[Message] = dataclasses.field(default_factory=list)
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def __hash__(self):
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return hash(self.conversation_id)
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def __eq__(self, other):
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if not isinstance(other, Conversation):
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return False
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return self.conversation_id == other.conversation_id
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class ChatGPT:
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def __init__(self, config: ChatGPTConfig):
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self.config = config
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self.model = config.model
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self.proxies = {"https": ""}
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self._puid = config._puid
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self.cf_clearance = config.cf_clearance
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self.session_token = config.session_token
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# conversation_id: message_id
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self.conversation_dict: Dict[str, Conversation] = {}
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self.headers = dict(
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{
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# "cookie": f"cf_clearance={self.cf_clearance}; _puid={self._puid}; __Secure-next-auth.session-token={self.session_token}",
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"cookie": self.config.cookie,
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"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
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"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7"
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# 'Content-Type': 'text/event-stream; charset=utf-8',
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}
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)
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self.headers["authorization"] = self.get_authorization()
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def get_authorization(self):
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url = "https://chat.openai.com/api/auth/session"
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if "cookie" in vars(self.config):
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self.headers["cookie"] = self.config.cookie
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r = requests.get(url, headers=self.headers)
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authorization = r.json()["accessToken"]
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# authorization = self.config.accessToken
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return "Bearer " + authorization
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def get_latest_message_id(self, conversation_id):
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# Get continuous conversation message id
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url = f"https://chat.openai.com/backend-api/conversation/{conversation_id}"
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r = requests.get(url, headers=self.headers, proxies=self.proxies)
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return r.json()["current_node"]
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def _parse_message_raw_output(self, response: requests.Response):
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# parse message raw output
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last_line = None
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for line in response.iter_lines():
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if line:
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decoded_line = line.decode("utf-8")
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if len(decoded_line) == 12:
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break
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if "data:" in decoded_line:
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last_line = decoded_line
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result = json.loads(last_line[5:])
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return result
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def send_new_message(self, message, model=None):
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if model is None:
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model = self.model
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# 发送新会话窗口消息，返回会话id
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logger.info(f"send_new_message")
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url = "https://chat.openai.com/backend-api/conversation"
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message_id = str(uuid1())
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data = {
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"action": "next",
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"messages": [
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{
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"id": message_id,
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"role": "user",
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"content": {"content_type": "text", "parts": [message]},
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}
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],
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"parent_message_id": str(uuid1()),
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"model": model,
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}
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start_time = time.time()
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message: Message = Message()
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message.ask_id = message_id
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message.ask = data
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message.request_start_timestamp = start_time
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r = requests.post(
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url, headers=self.headers, json=data, proxies=self.proxies, stream=True
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)
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if r.status_code != 200:
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# wait for 20s
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logger.error(r.text)
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return None, None
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# parsing result
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result = self._parse_message_raw_output(r)
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text = "\n".join(result["message"]["content"]["parts"])
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conversation_id = result["conversation_id"]
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answer_id = result["message"]["id"]
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end_time = time.time()
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message.answer_id = answer_id
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message.answer = result
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message.request_end_timestamp = end_time
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message.time_escaped = end_time - start_time
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conversation: Conversation = Conversation()
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conversation.conversation_id = conversation_id
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conversation.message_list.append(message)
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self.conversation_dict[conversation_id] = conversation
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return text, conversation_id
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def send_message(self, message, conversation_id):
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# Send message to specific conversation
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logger.info(f"send_message")
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url = "https://chat.openai.com/backend-api/conversation"
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# get message from id
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if conversation_id not in self.conversation_dict:
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logger.info(f"conversation_id: {conversation_id}")
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message_id = self.get_latest_message_id(conversation_id)
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logger.info(f"message_id: {message_id}")
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else:
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message_id = (
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self.conversation_dict[conversation_id].message_list[-1].answer_id
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)
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new_message_id = str(uuid1())
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data = {
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"action": "next",
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"messages": [
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{
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"id": new_message_id,
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"role": "user",
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"content": {"content_type": "text", "parts": [message]},
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}
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],
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"conversation_id": conversation_id,
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"parent_message_id": message_id,
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"model": self.model,
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}
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start_time = time.time()
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message: Message = Message()
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message.ask_id = new_message_id
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message.ask = data
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message.request_start_timestamp = start_time
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r = requests.post(
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url, headers=self.headers, json=data, proxies=self.proxies, stream=True
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)
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if r.status_code != 200:
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# 发送消息阻塞时等待20秒从新发送
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logger.warning(f"chatgpt failed: {r.text}")
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return None, None
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# parsing result
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result = self._parse_message_raw_output(r)
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text = "\n".join(result["message"]["content"]["parts"])
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conversation_id = result["conversation_id"]
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answer_id = result["message"]["id"]
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end_time = time.time()
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message.answer_id = answer_id
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message.answer = result
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message.request_end_timestamp = end_time
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message.time_escaped = end_time - start_time
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conversation: Conversation = self.conversation_dict[conversation_id]
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conversation.message_list.append(message)
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return text
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def get_conversation_history(self, limit=20, offset=0):
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# Get the conversation id in the history
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url = "https://chat.openai.com/backend-api/conversations"
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query_params = {
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"limit": limit,
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"offset": offset,
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}
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r = requests.get(
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url, headers=self.headers, params=query_params, proxies=self.proxies
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)
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if r.status_code == 200:
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json_data = r.json()
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conversations = {}
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for item in json_data["items"]:
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conversations[item["id"]] = item["title"]
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return conversations
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else:
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logger.error("Failed to retrieve history")
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return None
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def delete_conversation(self, conversation_id=None):
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# delete conversation with its uuid
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if not conversation_id:
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return
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url = f"https://chat.openai.com/backend-api/conversation/{conversation_id}"
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data = {
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"is_visible": False,
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}
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r = requests.patch(url, headers=self.headers, json=data, proxies=self.proxies)
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# delete conversation id locally
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if conversation_id in self.conversation_dict:
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del self.conversation_dict[conversation_id]
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if r.status_code == 200:
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return True
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else:
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logger.error("Failed to delete conversation")
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return False
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def extract_code_fragments(self, text):
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code_fragments = re.findall(r"```(.*?)```", text, re.DOTALL)
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return code_fragments
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if __name__ == "__main__":
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chatgpt_config = ChatGPTConfig()
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chatgpt = ChatGPT(chatgpt_config)
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text, conversation_id = chatgpt.send_new_message(
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"I am a new tester for RESTful APIs."
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)
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print(text, conversation_id)
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result = chatgpt.send_message(
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"generate: {'post': {'tags': ['pet'], 'summary': 'uploads an image', 'description': '', 'operationId': 'uploadFile', 'consumes': ['multipart/form-data'], 'produces': ['application/json'], 'parameters': [{'name': 'petId', 'in': 'path', 'description': 'ID of pet to update', 'required': True, 'type': 'integer', 'format': 'int64'}, {'name': 'additionalMetadata', 'in': 'formData', 'description': 'Additional data to pass to server', 'required': False, 'type': 'string'}, {'name': 'file', 'in': 'formData', 'description': 'file to upload', 'required': False, 'type': 'file'}], 'responses': {'200': {'description': 'successful operation', 'schema': {'type': 'object', 'properties': {'code': {'type': 'integer', 'format': 'int32'}, 'type': {'type': 'string'}, 'message': {'type': 'string'}}}}}, 'security': [{'petstore_auth': ['write:pets', 'read:pets']}]}}",
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conversation_id,
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)
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logger.info(chatgpt.extract_code_fragments(result))
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