mirror of
https://github.com/Yanyutin753/RefreshToV1Api.git
synced 2025-10-14 23:22:42 +00:00
711 lines
34 KiB
Python
711 lines
34 KiB
Python
# 导入所需的库
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from flask import Flask, request, jsonify, Response
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import requests
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import uuid
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import json
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import time
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from datetime import datetime
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import os
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def generate_unique_id(prefix):
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# 生成一个随机的 UUID
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random_uuid = uuid.uuid4()
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# 将 UUID 转换为字符串，并移除其中的短横线
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random_uuid_str = str(random_uuid).replace('-', '')
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# 结合前缀和处理过的 UUID 生成最终的唯一 ID
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unique_id = f"{prefix}-{random_uuid_str}"
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return unique_id
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# 创建 Flask 应用
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app = Flask(__name__)
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# 添加环境变量配置
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BASE_URL = os.getenv('BASE_URL', '')
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PROXY_API_PREFIX = os.getenv('PROXY_API_PREFIX', '')
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UPLOAD_BASE_URL = os.getenv('UPLOAD_BASE_URL', '')
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VERSION = '0.0.11'
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UPDATE_INFO = '修复一些偶现的bug'
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with app.app_context():
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# 输出版本信息
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print(f"==========================================")
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print(f"Version: {VERSION}")
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print(f"Update Info: {UPDATE_INFO}")
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if not BASE_URL:
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raise Exception('BASE_URL is not set')
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else:
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print(f"BASE_URL: {BASE_URL}")
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if not PROXY_API_PREFIX:
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raise Exception('PROXY_API_PREFIX is not set')
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else:
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print(f"PROXY_API_PREFIX: {PROXY_API_PREFIX}")
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print(f"==========================================")
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# 定义获取 token 的函数
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def get_token():
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url = f"{BASE_URL}/{PROXY_API_PREFIX}/api/arkose/token"
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payload = {'type': 'gpt-4'}
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response = requests.post(url, data=payload)
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if response.status_code == 200:
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return response.json().get('token')
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else:
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return None
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import os
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accessable_model_list = ['gpt-4-classic', 'gpt-4-s', 'gpt-4-mobile']
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# 定义发送请求的函数
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def send_text_prompt_and_get_response(messages, api_key, stream, model):
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url = f"{BASE_URL}/{PROXY_API_PREFIX}/backend-api/conversation"
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headers = {
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"Authorization": f"Bearer {api_key}"
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}
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formatted_messages = []
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for message in messages:
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message_id = str(uuid.uuid4())
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formatted_message = {
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"id": message_id,
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"author": {"role": message.get("role")},
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"content": {"content_type": "text", "parts": [message.get("content")]},
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"metadata": {}
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}
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formatted_messages.append(formatted_message)
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payload = {}
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print(f"model: {model}")
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if model == 'gpt-4-classic':
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payload = {
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# 构建 payload
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"action": "next",
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"messages": formatted_messages,
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"parent_message_id": str(uuid.uuid4()),
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"model": "gpt-4-gizmo",
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"timezone_offset_min": -480,
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"history_and_training_disabled": False,
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"conversation_mode": {
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"gizmo": {
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"gizmo": {
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"id": "g-YyyyMT9XH",
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"organization_id": "org-OROoM5KiDq6bcfid37dQx4z4",
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"short_url": "g-YyyyMT9XH-chatgpt-classic",
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"author": {
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"user_id": "user-u7SVk5APwT622QC7DPe41GHJ",
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"display_name": "ChatGPT",
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"link_to":None,
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"selected_display": "name",
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"is_verified":True
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},
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"voice": {
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"id": "ember"
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},
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"workspace_id":None,
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"model":None,
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"instructions":None,
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"settings":None,
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"display": {
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"name": "ChatGPT Classic",
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"description": "The latest version of GPT-4 with no additional capabilities",
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"welcome_message": "Hello",
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"prompt_starters":None,
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"profile_picture_url": "",
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"categories": []
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},
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"share_recipient": "marketplace",
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"updated_at": "2023-11-26T17:46:07.341305+00:00",
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"last_interacted_at": "2023-12-11T09:49:34.943245+00:00",
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"tags": [
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"public",
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"first_party"
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],
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"version":None,
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"live_version":None,
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"training_disabled":None,
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"allowed_sharing_recipients":None,
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"review_info":None,
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"appeal_info":None,
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"vanity_metrics":None
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},
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"tools": [],
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"files": [],
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"product_features": {
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"attachments": {
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"type": "retrieval",
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"accepted_mime_types": [
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"text/x-script.python",
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"application/x-latext",
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"text/x-c++",
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"text/javascript",
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"text/x-java",
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"text/x-typescript",
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"application/vnd.openxmlformats-officedocument.presentationml.presentation",
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"text/x-csharp",
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"text/plain",
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"application/pdf",
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"text/x-sh",
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"text/markdown",
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"text/x-c",
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"text/x-ruby",
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"text/x-tex",
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"text/x-php",
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"application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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"application/json",
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"text/html",
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"application/msword"
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],
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"image_mime_types": [
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"image/webp",
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"image/jpeg",
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"image/png",
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"image/gif"
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],
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"can_accept_all_mime_types":True
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}
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}
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},
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"kind": "gizmo_interaction",
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"gizmo_id": "g-YyyyMT9XH"
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},
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"force_paragen":False,
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"force_rate_limit":False
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}
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elif model == 'gpt-4-s':
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payload = {
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# 构建 payload
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"action": "next",
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"messages": formatted_messages,
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"parent_message_id": str(uuid.uuid4()),
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"model":"gpt-4",
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"timezone_offset_min": -480,
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"suggestions":[],
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"history_and_training_disabled": False,
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"conversation_mode":{"kind":"primary_assistant"},"force_paragen":False,"force_rate_limit":False
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}
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elif model == 'gpt-4-mobile':
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payload = {
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# 构建 payload
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"action": "next",
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"messages": formatted_messages,
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"parent_message_id": str(uuid.uuid4()),
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"model":"gpt-4-mobile",
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"timezone_offset_min": -480,
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"suggestions":["Give me 3 ideas about how to plan good New Years resolutions. Give me some that are personal, family, and professionally-oriented.","Write a text asking a friend to be my plus-one at a wedding next month. I want to keep it super short and casual, and offer an out.","Design a database schema for an online merch store.","Compare Gen Z and Millennial marketing strategies for sunglasses."],
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"history_and_training_disabled": False,
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"conversation_mode":{"kind":"primary_assistant"},"force_paragen":False,"force_rate_limit":False
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}
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response = requests.post(url, headers=headers, json=payload, stream=True)
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# print(response)
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return response
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def delete_conversation(conversation_id, api_key):
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print(f"[{datetime.now()}] 准备删除的会话id： {conversation_id}")
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if conversation_id:
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patch_url = f"{BASE_URL}/{PROXY_API_PREFIX}/backend-api/conversation/{conversation_id}"
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patch_headers = {
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"Authorization": f"Bearer {api_key}",
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}
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patch_data = {"is_visible": False}
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response = requests.patch(patch_url, headers=patch_headers, json=patch_data)
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if response.status_code == 200:
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print(f"[{datetime.now()}] 删除会话 {conversation_id} 成功")
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else:
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print(f"[{datetime.now()}] PATCH 请求失败: {response.text}")
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from PIL import Image
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import io
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def save_image(image_data, path='images'):
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try:
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# print(f"image_data: {image_data}")
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if not os.path.exists(path):
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os.makedirs(path)
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current_time = datetime.now().strftime('%Y%m%d%H%M%S')
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filename = f'image_{current_time}.png'
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full_path = os.path.join(path, filename)
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print(f"完整的文件路径: {full_path}") # 打印完整路径
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# print(f"filename: {filename}")
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# 使用 PIL 打开图像数据
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with Image.open(io.BytesIO(image_data)) as image:
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# 保存为 PNG 格式
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image.save(os.path.join(path, filename), 'PNG')
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print(f"保存图片成功: {filename}")
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return os.path.join(path, filename)
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except Exception as e:
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print(f"保存图片时出现异常: {e}")
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def unicode_to_chinese(unicode_string):
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# 首先将字符串转换为标准的 JSON 格式字符串
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json_formatted_str = json.dumps(unicode_string)
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# 然后将 JSON 格式的字符串解析回正常的字符串
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return json.loads(json_formatted_str)
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import re
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# 辅助函数：检查是否为合法的引用格式或正在构建中的引用格式
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def is_valid_citation_format(text):
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# 完整且合法的引用格式，允许紧跟另一个起始引用标记
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if re.fullmatch(r'\u3010\d+\u2020(source|\u6765\u6e90)\u3011\u3010?', text):
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return True
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# 完整且合法的引用格式
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if re.fullmatch(r'\u3010\d+\u2020(source|\u6765\u6e90)\u3011', text):
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return True
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# 合法的部分构建格式
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if re.fullmatch(r'\u3010(\d+)?(\u2020(source|\u6765\u6e90)?)?', text):
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return True
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# 不合法的格式
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return False
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# 辅助函数：检查是否为完整的引用格式
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# 检查是否为完整的引用格式
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def is_complete_citation_format(text):
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return bool(re.fullmatch(r'\u3010\d+\u2020(source|\u6765\u6e90)\u3011\u3010?', text))
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# 替换完整的引用格式
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def replace_complete_citation(text, citations):
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def replace_match(match):
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citation_number = match.group(1)
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for citation in citations:
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cited_message_idx = citation.get('metadata', {}).get('extra', {}).get('cited_message_idx')
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print(f"cited_message_idx: {cited_message_idx}")
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print(f"citation_number: {citation_number}")
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print(f"is citation_number == cited_message_idx: {cited_message_idx == int(citation_number)}")
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print(f"citation: {citation}")
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if cited_message_idx == int(citation_number):
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url = citation.get("metadata", {}).get("url", "")
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return f"[[{citation_number}]({url})]"
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return match.group(0) # 如果没有找到对应的引用，返回原文本
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# 使用 finditer 找到第一个匹配项
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match_iter = re.finditer(r'\u3010(\d+)\u2020(source|\u6765\u6e90)\u3011', text)
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first_match = next(match_iter, None)
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if first_match:
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start, end = first_match.span()
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replaced_text = text[:start] + replace_match(first_match) + text[end:]
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remaining_text = text[end:]
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else:
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replaced_text = text
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remaining_text = ""
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is_potential_citation = is_valid_citation_format(remaining_text)
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# 替换掉replaced_text末尾的remaining_text
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print(f"replaced_text: {replaced_text}")
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print(f"remaining_text: {remaining_text}")
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print(f"is_potential_citation: {is_potential_citation}")
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if is_potential_citation:
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replaced_text = replaced_text[:-len(remaining_text)]
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return replaced_text, remaining_text, is_potential_citation
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# 定义 Flask 路由
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@app.route('/v1/chat/completions', methods=['POST'])
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def chat_completions():
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print(f"[{datetime.now()}] New Request")
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data = request.json
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messages = data.get('messages')
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model = data.get('model')
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if model not in accessable_model_list:
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return jsonify({"error": "model is not accessable"}), 401
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stream = data.get('stream', False)
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auth_header = request.headers.get('Authorization')
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if not auth_header or not auth_header.startswith('Bearer '):
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return jsonify({"error": "Authorization header is missing or invalid"}), 401
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api_key = auth_header.split(' ')[1]
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print(f"api_key: {api_key}")
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upstream_response = send_text_prompt_and_get_response(messages, api_key, stream, model)
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# 在非流式响应的情况下，我们需要一个变量来累积所有的 new_text
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all_new_text = ""
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# 处理流式响应
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def generate():
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nonlocal all_new_text # 引用外部变量
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chat_message_id = generate_unique_id("chatcmpl")
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# 当前时间戳
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timestamp = int(time.time())
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buffer = ""
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last_full_text = "" # 用于存储之前所有出现过的 parts 组成的完整文本
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last_full_code = ""
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last_full_code_result = ""
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last_content_type = None # 用于记录上一个消息的内容类型
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conversation_id = ''
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citation_buffer = ""
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citation_accumulating = False
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for chunk in upstream_response.iter_content(chunk_size=1024):
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if chunk:
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buffer += chunk.decode('utf-8')
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# 检查是否存在 "event: ping"，如果存在，则只保留 "data:" 后面的内容
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if "event: ping" in buffer:
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if "data:" in buffer:
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buffer = buffer.split("data:", 1)[1]
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buffer = "data:" + buffer
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# 使用正则表达式移除特定格式的字符串
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# print("应用正则表达式之前的 buffer:", buffer.replace('\n', '\\n'))
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buffer = re.sub(r'data: \d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d{6}(\r\n|\r|\n){2}', '', buffer)
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# print("应用正则表达式之后的 buffer:", buffer.replace('\n', '\\n'))
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while 'data:' in buffer and '\n\n' in buffer:
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end_index = buffer.index('\n\n') + 2
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complete_data, buffer = buffer[:end_index], buffer[end_index:]
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# 解析 data 块
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try:
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data_json = json.loads(complete_data.replace('data: ', ''))
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# print(f"data_json: {data_json}")
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message = data_json.get("message", {})
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if message == {} or message == None:
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print(f"message 为空: data_json: {data_json}")
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message_status = message.get("status")
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content = message.get("content", {})
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role = message.get("author", {}).get("role")
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content_type = content.get("content_type")
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print(f"content_type: {content_type}")
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print(f"last_content_type: {last_content_type}")
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metadata = {}
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citations = []
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try:
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metadata = message.get("metadata", {})
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citations = metadata.get("citations", [])
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except:
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pass
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name = message.get("author", {}).get("name")
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if (role == "user" or message_status == "finished_successfully" or role == "system") and role != "tool":
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# 如果是用户发来的消息，直接舍弃
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continue
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try:
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conversation_id = data_json.get("conversation_id")
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print(f"conversation_id: {conversation_id}")
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except:
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pass
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# 只获取新的部分
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new_text = ""
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is_img_message = False
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parts = content.get("parts", [])
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for part in parts:
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try:
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# print(f"part: {part}")
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# print(f"part type: {part.get('content_type')}")
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if part.get('content_type') == 'image_asset_pointer':
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print(f"find img message~")
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is_img_message = True
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asset_pointer = part.get('asset_pointer').replace('file-service://', '')
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print(f"asset_pointer: {asset_pointer}")
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image_url = f"{BASE_URL}/{PROXY_API_PREFIX}/backend-api/files/{asset_pointer}/download"
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headers = {
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"Authorization": f"Bearer {api_key}"
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}
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image_response = requests.get(image_url, headers=headers)
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if image_response.status_code == 200:
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download_url = image_response.json().get('download_url')
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print(f"download_url: {download_url}")
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# 从URL下载图片
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# image_data = requests.get(download_url).content
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image_download_response = requests.get(download_url)
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# print(f"image_download_response: {image_download_response.text}")
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if image_download_response.status_code == 200:
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print(f"下载图片成功")
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image_data = image_download_response.content
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today_image_url = save_image(image_data) # 保存图片，并获取文件名
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new_text = f"\n\n[下载链接]({UPLOAD_BASE_URL}/{today_image_url})\n"
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else:
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print(f"下载图片失败: {image_download_response.text}")
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if last_content_type == "code":
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new_text = "\n```\n" + new_text
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print(f"new_text: {new_text}")
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is_img_message = True
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else:
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print(f"获取图片下载链接失败: {image_response.text}")
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except:
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pass
|
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|
||
|
||
if is_img_message == False:
|
||
# print(f"data_json: {data_json}")
|
||
if content_type == "multimodal_text" and last_content_type == "code":
|
||
new_text = "\n```\n" + content.get("text", "")
|
||
elif role == "tool" and name == "dalle.text2im":
|
||
print(f"无视消息: {content.get('text', '')}")
|
||
continue
|
||
# 代码块特殊处理
|
||
if content_type == "code" and last_content_type != "code" and content_type != None:
|
||
full_code = ''.join(content.get("text", ""))
|
||
new_text = "\n```\n" + full_code[len(last_full_code):]
|
||
# print(f"full_code: {full_code}")
|
||
# print(f"last_full_code: {last_full_code}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code = full_code # 更新完整代码以备下次比较
|
||
|
||
elif last_content_type == "code" and content_type != "code" and content_type != None:
|
||
full_code = ''.join(content.get("text", ""))
|
||
new_text = "\n```\n" + full_code[len(last_full_code):]
|
||
# print(f"full_code: {full_code}")
|
||
# print(f"last_full_code: {last_full_code}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code = "" # 更新完整代码以备下次比较
|
||
|
||
elif content_type == "code" and last_content_type == "code" and content_type != None:
|
||
full_code = ''.join(content.get("text", ""))
|
||
new_text = full_code[len(last_full_code):]
|
||
# print(f"full_code: {full_code}")
|
||
# print(f"last_full_code: {last_full_code}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code = full_code # 更新完整代码以备下次比较
|
||
|
||
else:
|
||
# 只获取新的 parts
|
||
parts = content.get("parts", [])
|
||
full_text = ''.join(parts)
|
||
new_text = full_text[len(last_full_text):]
|
||
last_full_text = full_text # 更新完整文本以备下次比较
|
||
if "\u3010" in new_text and not citation_accumulating:
|
||
citation_accumulating = True
|
||
citation_buffer = citation_buffer + new_text
|
||
print(f"开始积累引用: {citation_buffer}")
|
||
elif citation_accumulating:
|
||
citation_buffer += new_text
|
||
print(f"积累引用: {citation_buffer}")
|
||
if citation_accumulating:
|
||
if is_valid_citation_format(citation_buffer):
|
||
print(f"合法格式: {citation_buffer}")
|
||
# 继续积累
|
||
if is_complete_citation_format(citation_buffer):
|
||
|
||
# 替换完整的引用格式
|
||
replaced_text, remaining_text, is_potential_citation = replace_complete_citation(citation_buffer, citations)
|
||
# print(replaced_text) # 输出替换后的文本
|
||
new_text = replaced_text
|
||
|
||
if(is_potential_citation):
|
||
citation_buffer = remaining_text
|
||
else:
|
||
citation_accumulating = False
|
||
citation_buffer = ""
|
||
print(f"替换完整的引用格式: {new_text}")
|
||
else:
|
||
continue
|
||
else:
|
||
# 不是合法格式，放弃积累并响应
|
||
print(f"不合法格式: {citation_buffer}")
|
||
new_text = citation_buffer
|
||
citation_accumulating = False
|
||
citation_buffer = ""
|
||
|
||
|
||
# Python 工具执行输出特殊处理
|
||
if role == "tool" and name == "python" and last_content_type != "execution_output" and content_type != None:
|
||
|
||
|
||
full_code_result = ''.join(content.get("text", ""))
|
||
new_text = "`Result:` \n```\n" + full_code_result[len(last_full_code_result):]
|
||
if last_content_type == "code":
|
||
new_text = "\n```\n" + new_text
|
||
# print(f"full_code_result: {full_code_result}")
|
||
# print(f"last_full_code_result: {last_full_code_result}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code_result = full_code_result # 更新完整代码以备下次比较
|
||
elif last_content_type == "execution_output" and (role != "tool" or name != "python") and content_type != None:
|
||
# new_text = content.get("text", "") + "\n```"
|
||
full_code_result = ''.join(content.get("text", ""))
|
||
new_text = full_code_result[len(last_full_code_result):] + "\n```\n"
|
||
if content_type == "code":
|
||
new_text = new_text + "\n```\n"
|
||
# print(f"full_code_result: {full_code_result}")
|
||
# print(f"last_full_code_result: {last_full_code_result}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code_result = "" # 更新完整代码以备下次比较
|
||
elif last_content_type == "execution_output" and role == "tool" and name == "python" and content_type != None:
|
||
full_code_result = ''.join(content.get("text", ""))
|
||
new_text = full_code_result[len(last_full_code_result):]
|
||
# print(f"full_code_result: {full_code_result}")
|
||
# print(f"last_full_code_result: {last_full_code_result}")
|
||
# print(f"new_text: {new_text}")
|
||
last_full_code_result = full_code_result
|
||
|
||
# print(f"[{datetime.now()}] 收到数据: {data_json}")
|
||
# print(f"[{datetime.now()}] 收到的完整文本: {full_text}")
|
||
# print(f"[{datetime.now()}] 上次收到的完整文本: {last_full_text}")
|
||
# print(f"[{datetime.now()}] 新的文本: {new_text}")
|
||
|
||
# 更新 last_content_type
|
||
if content_type != None:
|
||
last_content_type = content_type if role != "user" else last_content_type
|
||
|
||
|
||
new_data = {
|
||
"id": chat_message_id,
|
||
"object": "chat.completion.chunk",
|
||
"created": timestamp,
|
||
"model": message.get("metadata", {}).get("model_slug"),
|
||
"choices": [
|
||
{
|
||
"index": 0,
|
||
"delta": {
|
||
"content": ''.join(new_text)
|
||
},
|
||
"finish_reason": None
|
||
}
|
||
]
|
||
}
|
||
# print(f"Role: {role}")
|
||
print(f"[{datetime.now()}] 发送消息: {new_text}")
|
||
tmp = 'data: ' + json.dumps(new_data, ensure_ascii=False) + '\n\n'
|
||
# print(f"[{datetime.now()}] 发送数据: {tmp}")
|
||
# 累积 new_text
|
||
all_new_text += new_text
|
||
yield 'data: ' + json.dumps(new_data, ensure_ascii=False) + '\n\n'
|
||
except json.JSONDecodeError:
|
||
# print("JSON 解析错误")
|
||
print(f"[{datetime.now()}] 发送数据: {complete_data}")
|
||
if complete_data == 'data: [DONE]\n\n':
|
||
print(f"[{datetime.now()}] 会话结束")
|
||
yield complete_data
|
||
if citation_buffer != "":
|
||
new_data = {
|
||
"id": chat_message_id,
|
||
"object": "chat.completion.chunk",
|
||
"created": timestamp,
|
||
"model": message.get("metadata", {}).get("model_slug"),
|
||
"choices": [
|
||
{
|
||
"index": 0,
|
||
"delta": {
|
||
"content": ''.join(citation_buffer)
|
||
},
|
||
"finish_reason": None
|
||
}
|
||
]
|
||
}
|
||
tmp = 'data: ' + json.dumps(new_data) + '\n\n'
|
||
# print(f"[{datetime.now()}] 发送数据: {tmp}")
|
||
# 累积 new_text
|
||
all_new_text += citation_buffer
|
||
yield 'data: ' + json.dumps(new_data) + '\n\n'
|
||
if buffer:
|
||
# print(f"[{datetime.now()}] 最后的数据: {buffer}")
|
||
delete_conversation(conversation_id, api_key)
|
||
try:
|
||
buffer_json = json.loads(buffer)
|
||
error_message = buffer_json.get("detail", {}).get("message", "未知错误")
|
||
error_data = {
|
||
"id": chat_message_id,
|
||
"object": "chat.completion.chunk",
|
||
"created": timestamp,
|
||
"model": "error",
|
||
"choices": [
|
||
{
|
||
"index": 0,
|
||
"delta": {
|
||
"content": ''.join("```\n" + error_message + "\n```")
|
||
},
|
||
"finish_reason": None
|
||
}
|
||
]
|
||
}
|
||
tmp = 'data: ' + json.dumps(error_data) + '\n\n'
|
||
print(f"[{datetime.now()}] 发送最后的数据: {tmp}")
|
||
# 累积 new_text
|
||
all_new_text += ''.join("```\n" + error_message + "\n```")
|
||
yield 'data: ' + json.dumps(error_data) + '\n\n'
|
||
except:
|
||
# print("JSON 解析错误")
|
||
print(f"[{datetime.now()}] 发送最后的数据: {buffer}")
|
||
yield buffer
|
||
|
||
delete_conversation(conversation_id, api_key)
|
||
|
||
|
||
if not stream:
|
||
# 执行流式响应的生成函数来累积 all_new_text
|
||
# 迭代生成器对象以执行其内部逻辑
|
||
for _ in generate():
|
||
pass
|
||
# 构造响应的 JSON 结构
|
||
response_json = {
|
||
"id": generate_unique_id("chatcmpl"),
|
||
"object": "chat.completion",
|
||
"created": int(time.time()), # 使用当前时间戳
|
||
"model": model, # 使用请求中指定的模型
|
||
"choices": [
|
||
{
|
||
"index": 0,
|
||
"message": {
|
||
"role": "assistant",
|
||
"content": all_new_text # 使用累积的文本
|
||
},
|
||
"finish_reason": "stop"
|
||
}
|
||
],
|
||
"usage": {
|
||
# 这里的 token 计数需要根据实际情况计算
|
||
"prompt_tokens": 0,
|
||
"completion_tokens": 0,
|
||
"total_tokens": 0
|
||
},
|
||
"system_fingerprint": None
|
||
}
|
||
|
||
# 返回 JSON 响应
|
||
return jsonify(response_json)
|
||
else:
|
||
return Response(generate(), mimetype='text/event-stream')
|
||
|
||
@app.after_request
|
||
def after_request(response):
|
||
response.headers.add('Access-Control-Allow-Origin', '*')
|
||
response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization,X-Requested-With')
|
||
response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE,OPTIONS')
|
||
return response
|
||
|
||
|
||
# 特殊的 OPTIONS 请求处理器
|
||
@app.route('/v1/chat/completions', methods=['OPTIONS'])
|
||
def options_handler():
|
||
print(f"[{datetime.now()}] Options Request")
|
||
return Response(status=200)
|
||
|
||
@app.route('/', defaults={'path': ''})
|
||
@app.route('/<path:path>')
|
||
def catch_all(path):
|
||
print(f"[{datetime.now()}] 未知请求: {path}")
|
||
print(f"[{datetime.now()}] 请求方法: {request.method}")
|
||
print(f"[{datetime.now()}] 请求头: {request.headers}")
|
||
print(f"[{datetime.now()}] 请求体: {request.data}")
|
||
|
||
return jsonify({"message": "Unknown"}), 200
|
||
|
||
# 运行 Flask 应用
|
||
if __name__ == '__main__':
|
||
app.run(host='0.0.0.0')
|
||
|