Delete chatgpt/ChatService.py
Browse files- chatgpt/ChatService.py +0 -521
chatgpt/ChatService.py
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import asyncio
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import json
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import random
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import uuid
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from fastapi import HTTPException
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from starlette.concurrency import run_in_threadpool
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from api.files import get_image_size, get_file_extension, determine_file_use_case
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from api.models import model_proxy
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from chatgpt.authorization import get_req_token, verify_token, get_ua
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from chatgpt.chatFormat import api_messages_to_chat, stream_response, format_not_stream_response, head_process_response
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from chatgpt.chatLimit import check_is_limit, handle_request_limit
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from chatgpt.proofofWork import get_config, get_dpl, get_answer_token, get_requirements_token
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from utils.Client import Client
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from utils.Logger import logger
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from utils.config import (
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proxy_url_list,
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chatgpt_base_url_list,
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ark0se_token_url_list,
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history_disabled,
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pow_difficulty,
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conversation_only,
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enable_limit,
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upload_by_url,
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check_model,
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auth_key,
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user_agents_list,
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turnstile_solver_url,
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)
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class ChatService:
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def __init__(self, origin_token=None):
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# self.user_agent = random.choice(user_agents_list) if user_agents_list else "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36"
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self.req_token = get_req_token(origin_token)
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self.ua = get_ua(self.req_token)
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self.user_agent = self.ua.get(
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"user-agent",
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
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)
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self.chat_token = "gAAAAAB"
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self.s = None
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self.ws = None
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async def set_dynamic_data(self, data):
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if self.req_token:
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logger.info(f"Request impersonate: {self.ua.get('impersonate')}")
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logger.info(f"Request ua:{self.user_agent}")
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logger.info(f"Request token: {self.req_token}")
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req_len = len(self.req_token.split(","))
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if req_len == 1:
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self.access_token = await verify_token(self.req_token)
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self.account_id = None
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else:
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self.access_token = await verify_token(self.req_token.split(",")[0])
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self.account_id = self.req_token.split(",")[1]
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else:
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logger.info("Request token is empty, use no-auth 3.5")
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self.access_token = None
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self.account_id = None
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self.data = data
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await self.set_model()
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if enable_limit and self.req_token:
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limit_response = await handle_request_limit(self.req_token, self.req_model)
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if limit_response:
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raise HTTPException(status_code=429, detail=limit_response)
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self.account_id = self.data.get('Chatgpt-Account-Id', self.account_id)
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self.parent_message_id = self.data.get('parent_message_id')
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self.conversation_id = self.data.get('conversation_id')
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self.history_disabled = self.data.get('history_disabled', history_disabled)
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self.api_messages = self.data.get("messages", [])
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self.prompt_tokens = 0
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self.max_tokens = self.data.get("max_tokens", 2147483647)
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if not isinstance(self.max_tokens, int):
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self.max_tokens = 2147483647
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self.proxy_url = random.choice(proxy_url_list) if proxy_url_list else None
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self.host_url = random.choice(chatgpt_base_url_list) if chatgpt_base_url_list else "https://chatgpt.com"
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self.ark0se_token_url = random.choice(ark0se_token_url_list) if ark0se_token_url_list else None
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self.s = Client(proxy=self.proxy_url, impersonate=self.ua.get("impersonate", "safari15_3"))
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self.oai_device_id = str(uuid.uuid4())
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self.persona = None
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self.ark0se_token = None
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self.proof_token = None
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self.turnstile_token = None
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self.chat_headers = None
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self.chat_request = None
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self.base_headers = {
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'accept': '*/*',
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'accept-encoding': 'gzip, deflate, br, zstd',
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'accept-language': 'en-US,en;q=0.9',
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'content-type': 'application/json',
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'oai-device-id': self.oai_device_id,
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'oai-language': 'en-US',
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'origin': self.host_url,
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'priority': 'u=1, i',
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'referer': f'{self.host_url}/',
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'sec-ch-ua': self.ua.get("sec-ch-ua", '"Chromium";v="124", "Microsoft Edge";v="124", "Not-A.Brand";v="99"'),
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'sec-ch-ua-mobile': self.ua.get("sec-ch-ua-mobile", "?0"),
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'sec-ch-ua-platform': self.ua.get("sec-ch-ua-platform", '"Windows"'),
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': self.user_agent
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}
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if self.access_token:
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self.base_url = self.host_url + "/backend-api"
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self.base_headers['Authorization'] = f'Bearer {self.access_token}'
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if self.account_id:
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self.base_headers['Chatgpt-Account-Id'] = self.account_id
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else:
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self.base_url = self.host_url + "/backend-anon"
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if auth_key:
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self.base_headers['authkey'] = auth_key
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await get_dpl(self)
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async def set_model(self):
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self.origin_model = self.data.get("model", "gpt-3.5-turbo-0125")
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self.resp_model = model_proxy.get(self.origin_model, self.origin_model)
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if "o1-preview" in self.origin_model:
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self.req_model = "o1-preview"
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elif "o1-mini" in self.origin_model:
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self.req_model = "o1-mini"
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elif "o1" in self.origin_model:
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self.req_model = "o1"
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elif "gpt-4.5o" in self.origin_model:
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self.req_model = "gpt-4.5o"
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elif "gpt-4o-canmore" in self.origin_model:
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self.req_model = "gpt-4o-canmore"
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elif "gpt-4o-mini" in self.origin_model:
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self.req_model = "gpt-4o-mini"
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elif "gpt-4o" in self.origin_model:
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self.req_model = "gpt-4o"
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elif "gpt-4-mobile" in self.origin_model:
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self.req_model = "gpt-4-mobile"
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elif "gpt-4-gizmo" in self.origin_model:
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self.req_model = "gpt-4o"
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elif "gpt-4" in self.origin_model:
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self.req_model = "gpt-4"
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elif "gpt-3.5" in self.origin_model:
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self.req_model = "text-davinci-002-render-sha"
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elif "auto" in self.origin_model:
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self.req_model = "auto"
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else:
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self.req_model = "auto"
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async def get_chat_requirements(self):
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if conversation_only:
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return None
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url = f'{self.base_url}/sentinel/chat-requirements'
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headers = self.base_headers.copy()
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try:
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config = get_config(self.user_agent)
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p = get_requirements_token(config)
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data = {'p': p}
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r = await self.s.post(url, headers=headers, json=data, timeout=5)
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if r.status_code == 200:
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resp = r.json()
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if check_model:
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r = await self.s.get(f'{self.base_url}/models', headers=headers, timeout=5)
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if r.status_code == 200:
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models = r.json().get('models')
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if not any(self.req_model in model.get("slug", "") for model in models):
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logger.error(f"Model {self.req_model} not support.")
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raise HTTPException(
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status_code=404,
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detail={
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"message": f"The model `{self.origin_model}` does not exist or you do not have access to it.",
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"type": "invalid_request_error",
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"param": None,
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"code": "model_not_found",
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},
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)
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else:
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raise HTTPException(status_code=404, detail="Failed to get models")
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else:
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self.persona = resp.get("persona")
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if self.persona != "chatgpt-paid":
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if self.req_model == "gpt-4":
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logger.error(f"Model {self.resp_model} not support for {self.persona}")
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raise HTTPException(
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status_code=404,
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detail={
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"message": f"The model `{self.origin_model}` does not exist or you do not have access to it.",
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"type": "invalid_request_error",
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"param": None,
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"code": "model_not_found",
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},
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)
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turnstile = resp.get('turnstile', {})
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turnstile_required = turnstile.get('required')
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if turnstile_required:
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turnstile_dx = turnstile.get("dx")
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try:
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if turnstile_solver_url:
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res = await self.s.post(
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turnstile_solver_url, json={"url": "https://chatgpt.com", "p": p, "dx": turnstile_dx}
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)
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self.turnstile_token = res.json().get("t")
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except Exception as e:
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logger.info(f"Turnstile ignored: {e}")
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# raise HTTPException(status_code=403, detail="Turnstile required")
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ark0se = resp.get('ark' + 'ose', {})
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ark0se_required = ark0se.get('required')
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if ark0se_required:
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if self.persona == "chatgpt-freeaccount":
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ark0se_method = "chat35"
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else:
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ark0se_method = "chat4"
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if not self.ark0se_token_url:
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raise HTTPException(status_code=403, detail="Ark0se service required")
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ark0se_dx = ark0se.get("dx")
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ark0se_client = Client(impersonate=self.ua.get("impersonate", "safari15_3"))
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try:
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r2 = await ark0se_client.post(
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url=self.ark0se_token_url, json={"blob": ark0se_dx, "method": ark0se_method}, timeout=15
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)
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r2esp = r2.json()
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logger.info(f"ark0se_token: {r2esp}")
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if r2esp.get('solved', True):
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self.ark0se_token = r2esp.get('token')
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else:
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raise HTTPException(status_code=403, detail="Failed to get Ark0se token")
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except Exception:
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raise HTTPException(status_code=403, detail="Failed to get Ark0se token")
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finally:
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await ark0se_client.close()
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proofofwork = resp.get('proofofwork', {})
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proofofwork_required = proofofwork.get('required')
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if proofofwork_required:
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proofofwork_diff = proofofwork.get("difficulty")
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if proofofwork_diff <= pow_difficulty:
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raise HTTPException(status_code=403, detail=f"Proof of work difficulty too high: {proofofwork_diff}")
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proofofwork_seed = proofofwork.get("seed")
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self.proof_token, solved = await run_in_threadpool(
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get_answer_token, proofofwork_seed, proofofwork_diff, config
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)
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if not solved:
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raise HTTPException(status_code=403, detail="Failed to solve proof of work")
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self.chat_token = resp.get('token')
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if not self.chat_token:
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raise HTTPException(status_code=403, detail=f"Failed to get chat token: {r.text}")
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return self.chat_token
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else:
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| 261 |
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if "application/json" == r.headers.get("Content-Type", ""):
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detail = r.json().get("detail", r.json())
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else:
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detail = r.text
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if "cf-spinner-please-wait" in detail:
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raise HTTPException(status_code=r.status_code, detail="cf-spinner-please-wait")
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if r.status_code == 429:
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raise HTTPException(status_code=r.status_code, detail="rate-limit")
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raise HTTPException(status_code=r.status_code, detail=detail)
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except HTTPException as e:
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raise HTTPException(status_code=e.status_code, detail=e.detail)
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| 272 |
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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| 274 |
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async def prepare_send_conversation(self):
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try:
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chat_messages, self.prompt_tokens = await api_messages_to_chat(self, self.api_messages, upload_by_url)
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except Exception as e:
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logger.error(f"Failed to format messages: {str(e)}")
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raise HTTPException(status_code=400, detail="Failed to format messages.")
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| 281 |
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self.chat_headers = self.base_headers.copy()
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| 282 |
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self.chat_headers.update(
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{
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'accept': 'text/event-stream',
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'openai-sentinel-chat-requirements-token': self.chat_token,
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| 286 |
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'openai-sentinel-proof-token': self.proof_token,
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}
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)
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| 289 |
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if self.ark0se_token:
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self.chat_headers['openai-sentinel-ark' + 'ose-token'] = self.ark0se_token
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| 291 |
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| 292 |
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if self.turnstile_token:
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| 293 |
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self.chat_headers['openai-sentinel-turnstile-token'] = self.turnstile_token
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| 294 |
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| 295 |
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if conversation_only:
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| 296 |
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self.chat_headers.pop('openai-sentinel-chat-requirements-token', None)
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| 297 |
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self.chat_headers.pop('openai-sentinel-proof-token', None)
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| 298 |
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self.chat_headers.pop('openai-sentinel-ark' + 'ose-token', None)
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| 299 |
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self.chat_headers.pop('openai-sentinel-turnstile-token', None)
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| 300 |
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| 301 |
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if "gpt-4-gizmo" in self.origin_model:
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| 302 |
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gizmo_id = self.origin_model.split("gpt-4-gizmo-")[-1]
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conversation_mode = {"kind": "gizmo_interaction", "gizmo_id": gizmo_id}
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else:
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conversation_mode = {"kind": "primary_assistant"}
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| 306 |
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| 307 |
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logger.info(f"Model mapping: {self.origin_model} -> {self.req_model}")
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| 308 |
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self.chat_request = {
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"action": "next",
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"conversation_mode": conversation_mode,
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| 311 |
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"force_nulligen": False,
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"force_paragen": False,
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"force_paragen_model_slug": "",
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"force_rate_limit": False,
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| 315 |
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"force_use_sse": True,
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| 316 |
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"history_and_training_disabled": self.history_disabled,
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"messages": chat_messages,
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"model": self.req_model,
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"parent_message_id": self.parent_message_id if self.parent_message_id else f"{uuid.uuid4()}",
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"reset_rate_limits": False,
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"suggestions": [],
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| 322 |
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"timezone_offset_min": -480,
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"variant_purpose": "comparison_implicit",
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"websocket_request_id": f"{uuid.uuid4()}",
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}
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if self.conversation_id:
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self.chat_request['conversation_id'] = self.conversation_id
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return self.chat_request
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| 329 |
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async def send_conversation(self):
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try:
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url = f'{self.base_url}/conversation'
|
| 333 |
-
stream = self.data.get("stream", False)
|
| 334 |
-
r = await self.s.post_stream(url, headers=self.chat_headers, json=self.chat_request, timeout=10, stream=True)
|
| 335 |
-
if r.status_code != 200:
|
| 336 |
-
rtext = await r.atext()
|
| 337 |
-
if "application/json" == r.headers.get("Content-Type", ""):
|
| 338 |
-
detail = json.loads(rtext).get("detail", json.loads(rtext))
|
| 339 |
-
if r.status_code == 429:
|
| 340 |
-
check_is_limit(detail, token=self.req_token, model=self.req_model)
|
| 341 |
-
else:
|
| 342 |
-
if "cf-spinner-please-wait" in rtext:
|
| 343 |
-
# logger.error(f"Failed to send conversation: cf-spinner-please-wait")
|
| 344 |
-
raise HTTPException(status_code=r.status_code, detail="cf-spinner-please-wait")
|
| 345 |
-
if r.status_code == 429:
|
| 346 |
-
# logger.error(f"Failed to send conversation: rate-limit")
|
| 347 |
-
raise HTTPException(status_code=r.status_code, detail="rate-limit")
|
| 348 |
-
detail = r.text[:100]
|
| 349 |
-
# logger.error(f"Failed to send conversation: {detail}")
|
| 350 |
-
raise HTTPException(status_code=r.status_code, detail=detail)
|
| 351 |
-
|
| 352 |
-
content_type = r.headers.get("Content-Type", "")
|
| 353 |
-
if "text/event-stream" in content_type:
|
| 354 |
-
res, start = await head_process_response(r.aiter_lines())
|
| 355 |
-
if not start:
|
| 356 |
-
raise HTTPException(
|
| 357 |
-
status_code=403,
|
| 358 |
-
detail="Our systems have detected unusual activity coming from your system. Please try again later.",
|
| 359 |
-
)
|
| 360 |
-
if stream:
|
| 361 |
-
return stream_response(self, res, self.resp_model, self.max_tokens)
|
| 362 |
-
else:
|
| 363 |
-
return await format_not_stream_response(
|
| 364 |
-
stream_response(self, res, self.resp_model, self.max_tokens),
|
| 365 |
-
self.prompt_tokens,
|
| 366 |
-
self.max_tokens,
|
| 367 |
-
self.resp_model,
|
| 368 |
-
)
|
| 369 |
-
elif "application/json" in content_type:
|
| 370 |
-
rtext = await r.atext()
|
| 371 |
-
resp = json.loads(rtext)
|
| 372 |
-
raise HTTPException(status_code=r.status_code, detail=resp)
|
| 373 |
-
else:
|
| 374 |
-
rtext = await r.atext()
|
| 375 |
-
raise HTTPException(status_code=r.status_code, detail=rtext)
|
| 376 |
-
except HTTPException as e:
|
| 377 |
-
raise HTTPException(status_code=e.status_code, detail=e.detail)
|
| 378 |
-
except Exception as e:
|
| 379 |
-
raise HTTPException(status_code=500, detail=str(e))
|
| 380 |
-
|
| 381 |
-
async def get_download_url(self, file_id):
|
| 382 |
-
url = f"{self.base_url}/files/{file_id}/download"
|
| 383 |
-
headers = self.base_headers.copy()
|
| 384 |
-
try:
|
| 385 |
-
r = await self.s.get(url, headers=headers, timeout=5)
|
| 386 |
-
if r.status_code == 200:
|
| 387 |
-
download_url = r.json().get('download_url')
|
| 388 |
-
return download_url
|
| 389 |
-
else:
|
| 390 |
-
return ""
|
| 391 |
-
except HTTPException:
|
| 392 |
-
return ""
|
| 393 |
-
|
| 394 |
-
async def get_download_url_from_upload(self, file_id):
|
| 395 |
-
url = f"{self.base_url}/files/{file_id}/uploaded"
|
| 396 |
-
headers = self.base_headers.copy()
|
| 397 |
-
try:
|
| 398 |
-
r = await self.s.post(url, headers=headers, json={}, timeout=5)
|
| 399 |
-
if r.status_code == 200:
|
| 400 |
-
download_url = r.json().get('download_url')
|
| 401 |
-
return download_url
|
| 402 |
-
else:
|
| 403 |
-
return ""
|
| 404 |
-
except HTTPException:
|
| 405 |
-
return ""
|
| 406 |
-
|
| 407 |
-
async def get_upload_url(self, file_name, file_size, use_case="multimodal"):
|
| 408 |
-
url = f'{self.base_url}/files'
|
| 409 |
-
headers = self.base_headers.copy()
|
| 410 |
-
try:
|
| 411 |
-
r = await self.s.post(
|
| 412 |
-
url,
|
| 413 |
-
headers=headers,
|
| 414 |
-
json={"file_name": file_name, "file_size": file_size, "timezone_offset_min": -480, "use_case": use_case},
|
| 415 |
-
timeout=5,
|
| 416 |
-
)
|
| 417 |
-
if r.status_code == 200:
|
| 418 |
-
res = r.json()
|
| 419 |
-
file_id = res.get('file_id')
|
| 420 |
-
upload_url = res.get('upload_url')
|
| 421 |
-
logger.info(f"file_id: {file_id}, upload_url: {upload_url}")
|
| 422 |
-
return file_id, upload_url
|
| 423 |
-
else:
|
| 424 |
-
return "", ""
|
| 425 |
-
except HTTPException:
|
| 426 |
-
return "", ""
|
| 427 |
-
|
| 428 |
-
async def upload(self, upload_url, file_content, mime_type):
|
| 429 |
-
headers = self.base_headers.copy()
|
| 430 |
-
headers.update(
|
| 431 |
-
{
|
| 432 |
-
'accept': 'application/json, text/plain, */*',
|
| 433 |
-
'content-type': mime_type,
|
| 434 |
-
'x-ms-blob-type': 'BlockBlob',
|
| 435 |
-
'x-ms-version': '2020-04-08',
|
| 436 |
-
}
|
| 437 |
-
)
|
| 438 |
-
headers.pop('Authorization', None)
|
| 439 |
-
try:
|
| 440 |
-
r = await self.s.put(upload_url, headers=headers, data=file_content)
|
| 441 |
-
if r.status_code == 201:
|
| 442 |
-
return True
|
| 443 |
-
return False
|
| 444 |
-
except Exception:
|
| 445 |
-
return False
|
| 446 |
-
|
| 447 |
-
async def upload_file(self, file_content, mime_type):
|
| 448 |
-
if not file_content or not mime_type:
|
| 449 |
-
return None
|
| 450 |
-
|
| 451 |
-
width, height = None, None
|
| 452 |
-
if mime_type.startswith("image/"):
|
| 453 |
-
try:
|
| 454 |
-
width, height = await get_image_size(file_content)
|
| 455 |
-
except Exception as e:
|
| 456 |
-
logger.error(f"Error image mime_type, change to text/plain: {e}")
|
| 457 |
-
mime_type = 'text/plain'
|
| 458 |
-
file_size = len(file_content)
|
| 459 |
-
file_extension = await get_file_extension(mime_type)
|
| 460 |
-
file_name = f"{uuid.uuid4()}{file_extension}"
|
| 461 |
-
use_case = await determine_file_use_case(mime_type)
|
| 462 |
-
|
| 463 |
-
file_id, upload_url = await self.get_upload_url(file_name, file_size, use_case)
|
| 464 |
-
if file_id and upload_url:
|
| 465 |
-
if await self.upload(upload_url, file_content, mime_type):
|
| 466 |
-
download_url = await self.get_download_url_from_upload(file_id)
|
| 467 |
-
if download_url:
|
| 468 |
-
file_meta = {
|
| 469 |
-
"file_id": file_id,
|
| 470 |
-
"file_name": file_name,
|
| 471 |
-
"size_bytes": file_size,
|
| 472 |
-
"mime_type": mime_type,
|
| 473 |
-
"width": width,
|
| 474 |
-
"height": height,
|
| 475 |
-
"use_case": use_case,
|
| 476 |
-
}
|
| 477 |
-
logger.info(f"File_meta: {file_meta}")
|
| 478 |
-
return file_meta
|
| 479 |
-
else:
|
| 480 |
-
logger.error("Failed to get download url")
|
| 481 |
-
else:
|
| 482 |
-
logger.error("Failed to upload file")
|
| 483 |
-
else:
|
| 484 |
-
logger.error("Failed to get upload url")
|
| 485 |
-
|
| 486 |
-
async def check_upload(self, file_id):
|
| 487 |
-
url = f'{self.base_url}/files/{file_id}'
|
| 488 |
-
headers = self.base_headers.copy()
|
| 489 |
-
try:
|
| 490 |
-
for i in range(30):
|
| 491 |
-
r = await self.s.get(url, headers=headers, timeout=5)
|
| 492 |
-
if r.status_code == 200:
|
| 493 |
-
res = r.json()
|
| 494 |
-
retrieval_index_status = res.get('retrieval_index_status', '')
|
| 495 |
-
if retrieval_index_status == "success":
|
| 496 |
-
break
|
| 497 |
-
await asyncio.sleep(1)
|
| 498 |
-
return True
|
| 499 |
-
except HTTPException:
|
| 500 |
-
return False
|
| 501 |
-
|
| 502 |
-
async def get_response_file_url(self, conversation_id, message_id, sandbox_path):
|
| 503 |
-
try:
|
| 504 |
-
url = f"{self.base_url}/conversation/{conversation_id}/interpreter/download"
|
| 505 |
-
params = {"message_id": message_id, "sandbox_path": sandbox_path}
|
| 506 |
-
headers = self.base_headers.copy()
|
| 507 |
-
r = await self.s.get(url, headers=headers, params=params, timeout=10)
|
| 508 |
-
if r.status_code == 200:
|
| 509 |
-
return r.json().get("download_url")
|
| 510 |
-
else:
|
| 511 |
-
return None
|
| 512 |
-
except Exception:
|
| 513 |
-
logger.info("Failed to get response file url")
|
| 514 |
-
return None
|
| 515 |
-
|
| 516 |
-
async def close_client(self):
|
| 517 |
-
if self.s:
|
| 518 |
-
await self.s.close()
|
| 519 |
-
if self.ws:
|
| 520 |
-
await self.ws.close()
|
| 521 |
-
del self.ws
|
|
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