app.py

import json
import logging
import os
import random
import time
import uuid
import re
import socket
from concurrent.futures import ThreadPoolExecutor
from functools import lru_cache, wraps
from typing import Dict, Any, Callable, List, Tuple
import requests
import tiktoken
from flask import Flask, Response, jsonify, request, stream_with_context
from flask_cors import CORS
from requests.adapters import HTTPAdapter
from urllib3.util.connection import create_connection
import urllib3
from cachetools import TTLCache
import threading
from time import sleep
from datetime import datetime, timedelta
import concurrent.futures
from concurrent.futures import TimeoutError

# 新增导入
import register_bot

# Constants
CHAT_COMPLETION_CHUNK = 'chat.completion.chunk'
CHAT_COMPLETION = 'chat.completion'
CONTENT_TYPE_EVENT_STREAM = 'text/event-stream'
_BASE_URL = "https://chat.notdiamond.ai"
_API_BASE_URL = "https://spuckhogycrxcbomznwo.supabase.co"
_USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36'

# 从环境变量获取API密钥和特定URL
API_KEY = os.getenv('API_KEY')
_PASTE_API_URL = os.getenv('PASTE_API_URL')
_PASTE_API_PASSWORD = os.getenv('PASTE_API_PASSWORD')

if not API_KEY:
    raise ValueError("API_KEY environment variable must be set")

if not _PASTE_API_URL:
    raise ValueError("PASTE_API_URL environment variable must be set")

# 创建 Flask 应用
app = Flask(__name__)
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
CORS(app, resources={r"/*": {"origins": "*"}})
executor = ThreadPoolExecutor(max_workers=10)

proxy_url = os.getenv('PROXY_URL')
NOTDIAMOND_IP = os.getenv('NOTDIAMOND_IP')
NOTDIAMOND_DOMAIN = os.getenv('NOTDIAMOND_DOMAIN')

if not NOTDIAMOND_IP:
    logger.error("NOTDIAMOND_IP environment variable is not set!")
    raise ValueError("NOTDIAMOND_IP must be set")

# 其他代码保持不变...

@app.route('/', methods=['GET'])
def root():
    return jsonify({
        "service": "AI Chat Completion Proxy",
        "usage": {
            "endpoint": "/ai/v1/chat/completions",
            "method": "POST",
            "headers": {
                "Authorization": "Bearer YOUR_API_KEY"
            },
            "body": {
                "model": "One of: " + ", ".join(MODEL_INFO.keys()),
                "messages": [
                    {"role": "system", "content": "You are a helpful assistant."},
                    {"role": "user", "content": "Hello, who are you?"}
                ],
                "stream": False,
                "temperature": 0.7
            }
        },
        "availableModels": list(MODEL_INFO.keys()),
        "note": "API key authentication is required for other endpoints."
    })

# 为了兼容 Flask CLI 和 Gunicorn，修改启动逻辑
if __name__ != "__main__":
    health_check_thread = threading.Thread(target=health_check, daemon=True)
    health_check_thread.start()

if __name__ == "__main__":
    health_check_thread = threading.Thread(target=health_check, daemon=True)
    health_check_thread.start()
    
    port = int(os.environ.get("PORT", 3000))
    app.run(debug=False, host='0.0.0.0', port=port, threaded=True)

# API密钥验证装饰器
def require_api_key(f):
    @wraps(f)
    def decorated_function(*args, **kwargs):
        auth_header = request.headers.get('Authorization')
        if not auth_header:
            return jsonify({'error': 'No API key provided'}), 401
        
        try:
            # 从 Bearer token 中提取API密钥
            provided_key = auth_header.split('Bearer ')[-1].strip()
            if provided_key != API_KEY:
                return jsonify({'error': 'Invalid API key'}), 401
        except Exception:
            return jsonify({'error': 'Invalid Authorization header format'}), 401
            
        return f(*args, **kwargs)
    return decorated_function

refresh_token_cache = TTLCache(maxsize=1000, ttl=3600)
headers_cache = TTLCache(maxsize=1, ttl=3600)  # 1小时过期
token_refresh_lock = threading.Lock()

# 自定义连接函数
def patched_create_connection(address, *args, **kwargs):
    host, port = address
    if host == NOTDIAMOND_DOMAIN:
        logger.info(f"Connecting to {NOTDIAMOND_DOMAIN} using IP: {NOTDIAMOND_IP}")
        return create_connection((NOTDIAMOND_IP, port), *args, **kwargs)
    return create_connection(address, *args, **kwargs)

# 替换 urllib3 的默认连接函数
urllib3.util.connection.create_connection = patched_create_connection

# 自定义 HTTPAdapter
class CustomHTTPAdapter(HTTPAdapter):
    def init_poolmanager(self, *args, **kwargs):
        kwargs['socket_options'] = kwargs.get('socket_options', [])
        kwargs['socket_options'] += [(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)]
        return super(CustomHTTPAdapter, self).init_poolmanager(*args, **kwargs)

# 创建自定义的 Session
def create_custom_session():
    session = requests.Session()
    adapter = CustomHTTPAdapter()
    session.mount('https://', adapter)
    session.mount('http://', adapter)
    return session

# 添加速率限制相关的常量
AUTH_RETRY_DELAY = 60  # 认证重试延迟（秒）
AUTH_BACKOFF_FACTOR = 2  # 退避因子
AUTH_MAX_RETRIES = 3  # 最大重试次数
AUTH_CHECK_INTERVAL = 300  # 健康检查间隔（秒）
AUTH_RATE_LIMIT_WINDOW = 3600  # 速率限制窗口（秒）
AUTH_MAX_REQUESTS = 100  # 每个窗口最大请求数

class AuthManager:
    def __init__(self, email: str, password: str):
        self._email: str = email
        self._password: str = password
        self._max_retries: int = 3
        self._retry_delay: int = 1
        self._api_key: str = ""
        self._user_info: Dict[str, Any] = {}
        self._refresh_token: str = ""
        self._access_token: str = ""
        self._token_expiry: float = 0
        self._session: requests.Session = create_custom_session()
        self._logger: logging.Logger = logging.getLogger(__name__)
        self.model_status = {model: True for model in MODEL_INFO.keys()}
        self.last_successful_index = 0
        self.last_success_date = datetime.now().date()

    def get_next_auth_manager(self, model):
        """改进的账号选择逻辑，优先使用上次成功的账号"""
        current_date = datetime.now().date()
        
        # 如果是新的一天，重置状态并从第一个账号开始
        if current_date > self.last_success_date:
            self.current_index = 0
            self.last_successful_index = 0
            self.last_success_date = current_date
            self.reset_all_model_status()
            return self.auth_managers[0] if self.auth_managers else None

        # 优先使用上次成功的账号
        auth_manager = self.auth_managers[self.last_successful_index]
        if auth_manager.is_model_available(model) and auth_manager._should_attempt_auth():
            return auth_manager

        # 如果上次成功的账号不可用，才开始轮询其他账号
        start_index = (self.last_successful_index + 1) % len(self.auth_managers)
        current = start_index
        
        while current != self.last_successful_index:
            auth_manager = self.auth_managers[current]
            if auth_manager.is_model_available(model) and auth_manager._should_attempt_auth():
                self.last_successful_index = current
                return auth_manager
            current = (current + 1) % len(self.auth_managers)
            
        return None

    def update_last_successful(self, index):
        """更新最后一次成功使用的账号索引"""
        self.last_successful_index = index
        self.last_success_date = datetime.now().date()

    # ... (其他 AuthManager 方法保持不变)

MODEL_INFO = {
    "gpt-4o-mini": {"provider": "openai", "mapping": "gpt-4o-mini"},
    "gpt-4o": {"provider": "openai", "mapping": "gpt-4o"},
    "gpt-4-turbo": {"provider": "openai", "mapping": "gpt-4-turbo-2024-04-09"},
    "chatgpt-4o-latest": {"provider": "openai", "mapping": "chatgpt-4o-latest"},
    "gemini-1.5-pro-latest": {"provider": "google", "mapping": "models/gemini-1.5-pro-latest"},
    "gemini-1.5-flash-latest": {"provider": "google", "mapping": "models/gemini-1.5-flash-latest"},
    "llama-3.1-70b-instruct": {"provider": "togetherai", "mapping": "meta.llama3-1-70b-instruct-v1:0"},
    "llama-3.1-405b-instruct": {"provider": "togetherai", "mapping": "meta.llama3-1-405b-instruct-v1:0"},
    "claude-3-5-sonnet-20241022": {"provider": "anthropic", "mapping": "anthropic.claude-3-5-sonnet-20241022-v2:0"},
    "claude-3-5-haiku-20241022": {"provider": "anthropic", "mapping": "anthropic.claude-3-5-haiku-20241022-v1:0"},
    "perplexity": {"provider": "perplexity", "mapping": "llama-3.1-sonar-large-128k-online"},
    "mistral-large-2407": {"provider": "mistral", "mapping": "mistral.mistral-large-2407-v1:0"}
}

def stream_notdiamond_response(response, model):
    """改进的流式响应处理，添加超时处理和错误恢复"""
    buffer = ""
    full_content = ""
    last_activity = time.time()
    timeout = 30  # 设置单个块的超时时间
    
    try:
        for chunk in response.iter_content(chunk_size=1024):
            current_time = time.time()
            
            # 检查是否超时
            if current_time - last_activity > timeout:
                logger.warning("Stream response timeout, sending partial content")
                if full_content:
                    final_chunk = create_openai_chunk('', model, 'timeout')
                    if 'choices' in final_chunk and final_chunk['choices']:
                        final_chunk['choices'][0]['context'] = full_content
                    yield final_chunk
                return
            
            if chunk:
                try:
                    new_content = chunk.decode('utf-8')
                    buffer += new_content
                    full_content += new_content
                    
                    chunk_data = create_openai_chunk(new_content, model)
                    
                    if 'choices' in chunk_data and chunk_data['choices']:
                        chunk_data['choices'][0]['delta']['content'] = new_content
                        chunk_data['choices'][0]['context'] = full_content
                    
                    yield chunk_data
                    last_activity = current_time
                    
                except Exception as e:
                    logger.error(f"Error processing chunk: {e}")
                    continue
        
        final_chunk = create_openai_chunk('', model, 'stop')
        if 'choices' in final_chunk and final_chunk['choices']:
            final_chunk['choices'][0]['context'] = full_content
        yield final_chunk
        
    except Exception as e:
        logger.error(f"Stream response error: {e}")
        error_chunk = create_openai_chunk('', model, 'error')
        if 'choices' in error_chunk and error_chunk['choices']:
            error_chunk['choices'][0]['context'] = full_content
        yield error_chunk

def make_request(payload, auth_manager, model_id):
    """改进的请求处理，添加超时控制"""
    global multi_auth_manager
    max_retries = 3
    retry_delay = 1
    request_timeout = 30  # 设置请求超时时间
    
    logger.info(f"尝试发送请求，模型：{model_id}")
    
    # ... (其他代码保持不变)
    
    while len(tried_accounts) < len(multi_auth_manager.auth_managers):
        auth_manager = multi_auth_manager.get_next_auth_manager(model_id)
        if not auth_manager:
            break
            
        if auth_manager._email in tried_accounts:
            continue
            
        tried_accounts.add(auth_manager._email)
        logger.info(f"尝试使用账号 {auth_manager._email}")

        for attempt in range(max_retries):
            try:
                url = get_notdiamond_url()
                headers = get_notdiamond_headers(auth_manager)
                
                response = executor.submit(
                    requests.post, 
                    url, 
                    headers=headers, 
                    json=payload, 
                    stream=True,
                    timeout=request_timeout
                ).result(timeout=request_timeout)
                
                if response.status_code == 200 and response.headers.get('Content-Type') == 'text/event-stream':
                    logger.info(f"请求成功，使用账号 {auth_manager._email}")
                    current_index = multi_auth_manager.auth_managers.index(auth_manager)
                    multi_auth_manager.update_last_successful(current_index)
                    return response
                
            except (requests.Timeout, concurrent.futures.TimeoutError) as e:
                logger.error(f"Request timeout for account {auth_manager._email}: {e}")
                break
            except Exception as e:
                logger.error(f"Request attempt {attempt + 1} failed for account {auth_manager._email}: {e}")
                if attempt < max_retries - 1:
                    time.sleep(retry_delay)
                continue

def health_check():
    """改进的健康检查函数，每60秒只检查一个账号"""
    check_index = 0
    last_check_date = datetime.now().date()
    
    while True:
        try:
            if multi_auth_manager:
                current_date = datetime.now().date()
                
                # 如果是新的一天，重置检查索引
                if current_date > last_check_date:
                    check_index = 0
                    last_check_date = current_date
                    logger.info("New day started, resetting health check index")
                    continue

                # 只检查一个账号
                if check_index < len(multi_auth_manager.auth_managers):
                    auth_manager = multi_auth_manager.auth_managers[check_index]
                    email = auth_manager._email
                    
                    if auth_manager._should_attempt_auth():
                        if not auth_manager.ensure_valid_token():
                            logger.warning(f"Auth token validation failed during health check for {email}")
                            auth_manager.clear_auth()
                        else:
                            logger.info(f"Health check passed for {email}")
                    else:
                        logger.info(f"Skipping health check for {email} due to rate limiting")
                    
                    # 更新检查索引
                    check_index = (check_index + 1) % len(multi_auth_manager.auth_managers)
                
                # 在每天午夜重置所有账号的模型使用状态
                current_time_local = time.localtime()
                if current_time_local.tm_hour == 0 and current_time_local.tm_min == 0:
                    multi_auth_manager.reset_all_model_status()
                    logger.info("Reset model status for all accounts")
                    
        except Exception as e:
            logger.error(f"Health check error: {e}")
            
        sleep(60)  # 每60秒检查一个账号

def generate_system_fingerprint():
    """生成并返回唯一的系统指纹。"""
    return f"fp_{uuid.uuid4().hex[:10]}"

def create_openai_chunk(content, model, finish_reason=None, usage=None):
    """创建OpenAI格式的响应块。"""
    chunk = {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": CHAT_COMPLETION_CHUNK,
        "created": int(time.time()),
        "model": model,
        "system_fingerprint": generate_system_fingerprint(),
        "choices": [
            {
                "index": 0,
                "delta": {"content": content} if content else {},
                "logprobs": None,
                "finish_reason": finish_reason
            }
        ]
    }
    
    if usage is not None:
        chunk["usage"] = usage
    
    return chunk

def count_tokens(text, model="gpt-3.5-turbo-0301"):
    """计算给定文本的令牌数量。"""
    try:
        return len(tiktoken.encoding_for_model(model).encode(text))
    except KeyError:
        return len(tiktoken.get_encoding("cl100k_base").encode(text))

def count_message_tokens(messages, model="gpt-3.5-turbo-0301"):
    """计算消息列表中的总令牌数量。"""
    return sum(count_tokens(str(message), model) for message in messages)

NOTDIAMOND_URLS = os.getenv('NOTDIAMOND_URLS', 'https://not-diamond-workers.t7-cc4.workers.dev/stream-message').split(',')

def get_notdiamond_url():
    """随机选择并返回一个 notdiamond URL。"""
    return random.choice(NOTDIAMOND_URLS)

def get_notdiamond_headers(auth_manager):
    """返回用于 notdiamond API 请求的头信息。"""
    cache_key = f'notdiamond_headers_{auth_manager.get_jwt_value()}'
    
    try:
        return headers_cache[cache_key]
    except KeyError:
        headers = {
            'accept': 'text/event-stream',
            'accept-language': 'zh-CN,zh;q=0.9',
            'content-type': 'application/json',
            'user-agent': _USER_AGENT,
            'authorization': f'Bearer {auth_manager.get_jwt_value()}'
        }
        headers_cache[cache_key] = headers
        return headers

def generate_stream_response(response, model, prompt_tokens):
    """生成流式 HTTP 响应。"""
    total_completion_tokens = 0
    
    for chunk in stream_notdiamond_response(response, model):
        content = chunk['choices'][0]['delta'].get('content', '')
        total_completion_tokens += count_tokens(content, model)
        
        chunk['usage'] = {
            "prompt_tokens": prompt_tokens,
            "completion_tokens": total_completion_tokens,
            "total_tokens": prompt_tokens + total_completion_tokens
        }
        
        yield f"data: {json.dumps(chunk)}\n\n"
    
    yield "data: [DONE]\n\n"

def handle_non_stream_response(response, model, prompt_tokens):
    """处理非流式响应。"""
    full_content = ""
    try:
        for chunk in response.iter_content(chunk_size=1024):
            if chunk:
                content = chunk.decode('utf-8')
                full_content += content
        
        completion_tokens = count_tokens(full_content, model)
        total_tokens = prompt_tokens + completion_tokens
        
        response_data = {
            "id": f"chatcmpl-{uuid.uuid4()}",
            "object": CHAT_COMPLETION,
            "created": int(time.time()),
            "model": model,
            "system_fingerprint": generate_system_fingerprint(),
            "choices": [
                {
                    "index": 0,
                    "message": {
                        "role": "assistant",
                        "content": full_content
                    },
                    "finish_reason": "stop"
                }
            ],
            "usage": {
                "prompt_tokens": prompt_tokens,
                "completion_tokens": completion_tokens,
                "total_tokens": total_tokens
            }
        }
        
        return jsonify(response_data)
        
    except Exception as e:
        logger.error(f"Error processing non-stream response: {e}")
        raise

@app.route('/ai/v1/chat/completions', methods=['POST'])
@require_api_key
def handle_request():
    """处理聊天完成请求的主路由。"""
    global multi_auth_manager
    if not multi_auth_manager:
        return jsonify({'error': 'Unauthorized'}), 401
    
    try:
        request_data = request.get_json()
        model_id = request_data.get('model', '')
        
        auth_manager = multi_auth_manager.ensure_valid_token(model_id)
        if not auth_manager:
            return jsonify({'error': 'No available accounts for this model'}), 403

        stream = request_data.get('stream', False)
        prompt_tokens = count_message_tokens(
            request_data.get('messages', []),
            model_id
        )
        
        payload = {
            'model': MODEL_INFO[model_id]['mapping'],
            'messages': request_data.get('messages', []),
            'temperature': request_data.get('temperature', 1),
            'max_tokens': request_data.get('max_tokens'),
            'presence_penalty': request_data.get('presence_penalty'),
            'frequency_penalty': request_data.get('frequency_penalty'),
            'top_p': request_data.get('top_p', 1),
        }
        
        response = make_request(payload, auth_manager, model_id)
        
        if stream:
            return Response(
                stream_with_context(generate_stream_response(response, model_id, prompt_tokens)),
                content_type=CONTENT_TYPE_EVENT_STREAM
            )
        else:
            return handle_non_stream_response(response, model_id, prompt_tokens)
    
    except requests.RequestException as e:
        logger.error(f"Request error: {e}")
        return jsonify({
            'error': {
                'message': 'Error communicating with the API',
                'type': 'api_error',
                'details': str(e)
            }
        }), 503
    except Exception as e:
        logger.error(f"Unexpected error: {e}")
        return jsonify({
            'error': {
                'message': 'Internal Server Error',
                'type': 'server_error',
                'details': str(e)
            }
        }), 500

@app.route('/ai/v1/models', methods=['GET'])
@require_api_key
def list_models():
    """返回可用模型列表。"""
    models = [
        {
            "id": model_id,
            "object": "model",
            "created": int(time.time()),
            "owned_by": "notdiamond",
            "permission": [],
            "root": model_id,
            "parent": None,
        } for model_id in MODEL_INFO.keys()
    ]
    return jsonify({
        "object": "list",
        "data": models
    })