♻️ [Refactor] Configure api info with config.json

tests/openai.py

@@ -0,0 +1,180 @@
+import copy
+import json
+import re
+import uuid
+
+from pathlib import Path
+
+from curl_cffi import requests
+from tclogger import logger, OSEnver
+from constants.envs import PROXIES
+
+
+class OpenaiAPI:
+    def __init__(self):
+        self.init_requests_params()
+
+    def init_requests_params(self):
+        self.api_base = "https://chat.openai.com/backend-anon"
+        self.api_me = f"{self.api_base}/me"
+        self.api_models = f"{self.api_base}/models"
+        self.api_chat_requirements = f"{self.api_base}/sentinel/chat-requirements"
+        self.api_conversation = f"{self.api_base}/conversation"
+        self.uuid = str(uuid.uuid4())
+        self.requests_headers = {
+            # "Accept": "*/*",
+            "Accept-Encoding": "gzip, deflate, br, zstd",
+            "Accept-Language": "en-US,en;q=0.9",
+            "Cache-Control": "no-cache",
+            "Content-Type": "application/json",
+            "Oai-Device-Id": self.uuid,
+            "Oai-Language": "en-US",
+            "Pragma": "no-cache",
+            "Referer": "https://chat.openai.com/",
+            "Sec-Ch-Ua": 'Google Chrome";v="123", "Not:A-Brand";v="8", "Chromium";v="123"',
+            "Sec-Ch-Ua-Mobile": "?0",
+            "Sec-Ch-Ua-Platform": '"Windows"',
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36",
+        }
+
+    def log_request(self, url, method="GET"):
+        logger.note(f"> {method}:", end=" ")
+        logger.mesg(f"{url}", end=" ")
+
+    def log_response(self, res: requests.Response, stream=False, verbose=False):
+        status_code = res.status_code
+        status_code_str = f"[{status_code}]"
+
+        if status_code == 200:
+            logger_func = logger.success
+        else:
+            logger_func = logger.warn
+
+        logger_func(status_code_str)
+
+        if verbose:
+            if stream:
+                if not hasattr(self, "content_offset"):
+                    self.content_offset = 0
+
+                for line in res.iter_lines():
+                    line = line.decode("utf-8")
+                    line = re.sub(r"^data:\s*", "", line)
+                    if re.match(r"^\[DONE\]", line):
+                        logger.success("\n[Finished]")
+                        break
+                    line = line.strip()
+                    if line:
+                        try:
+                            data = json.loads(line, strict=False)
+                            message_role = data["message"]["author"]["role"]
+                            message_status = data["message"]["status"]
+                            if (
+                                message_role == "assistant"
+                                and message_status == "in_progress"
+                            ):
+                                content = data["message"]["content"]["parts"][0]
+                                delta_content = content[self.content_offset :]
+                                self.content_offset = len(content)
+                                logger_func(delta_content, end="")
+                        except Exception as e:
+                            logger.warn(e)
+            else:
+                logger_func(res.json())
+
+    def get_models(self):
+        self.log_request(self.api_models)
+        res = requests.get(
+            self.api_models,
+            headers=self.requests_headers,
+            proxies=PROXIES,
+            timeout=10,
+            impersonate="chrome120",
+        )
+        self.log_response(res)
+
+    def auth(self):
+        self.log_request(self.api_chat_requirements, method="POST")
+        res = requests.post(
+            self.api_chat_requirements,
+            headers=self.requests_headers,
+            proxies=PROXIES,
+            timeout=10,
+            impersonate="chrome120",
+        )
+        self.chat_requirements_token = res.json()["token"]
+        self.log_response(res)
+
+    def transform_messages(self, messages: list[dict]):
+        def get_role(role):
+            if role in ["system", "user", "assistant"]:
+                return role
+            else:
+                return "system"
+
+        new_messages = [
+            {
+                "author": {"role": get_role(message["role"])},
+                "content": {"content_type": "text", "parts": [message["content"]]},
+                "metadata": {},
+            }
+            for message in messages
+        ]
+        return new_messages
+
+    def chat_completions(self, messages: list[dict]):
+        new_headers = {
+            "Accept": "text/event-stream",
+            "Openai-Sentinel-Chat-Requirements-Token": self.chat_requirements_token,
+        }
+        requests_headers = copy.deepcopy(self.requests_headers)
+        requests_headers.update(new_headers)
+        post_data = {
+            "action": "next",
+            "messages": self.transform_messages(messages),
+            "parent_message_id": "",
+            "model": "text-davinci-002-render-sha",
+            "timezone_offset_min": -480,
+            "suggestions": [],
+            "history_and_training_disabled": False,
+            "conversation_mode": {"kind": "primary_assistant"},
+            "force_paragen": False,
+            "force_paragen_model_slug": "",
+            "force_nulligen": False,
+            "force_rate_limit": False,
+            "websocket_request_id": str(uuid.uuid4()),
+        }
+        self.log_request(self.api_conversation, method="POST")
+        s = requests.Session()
+        res = s.post(
+            self.api_conversation,
+            headers=requests_headers,
+            json=post_data,
+            proxies=PROXIES,
+            timeout=10,
+            impersonate="chrome120",
+            stream=True,
+        )
+        self.log_response(res, stream=True, verbose=True)
+
+
+if __name__ == "__main__":
+    api = OpenaiAPI()
+    # api.get_models()
+    api.auth()
+    messages = [
+        {"role": "system", "content": "i am Hansimov"},
+        {"role": "system", "content": "i have a cat named lucky"},
+        {"role": "user", "content": "Repeat my name and my cat's name"},
+        {
+            "role": "assistant",
+            "content": "Your name is Hansimov and your cat's name is Lucky.",
+        },
+        {"role": "user", "content": "summarize our conversation"},
+    ]
+    api.chat_completions(messages)
+
+    # python -m tests.openai