555 lines
20 KiB
Python
Executable File
555 lines
20 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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华为云 Token 动态网关
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- 6小时缓存机制
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- 支持内存扫描自动刷新
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- HUAWEI_TOKEN 环境变量最高优先级
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- Token 持久化到 /etc/huawei-gateway.env
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- SSE 流式转发
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- 连接池 (20 连接)
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- 401 自动重试
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- 兼容生产环境 (Waitress 32线程 / Gunicorn)
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"""
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import os
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import re
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import sys
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import json
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import time
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import logging
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import threading
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import traceback
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from flask import Flask, request, Response
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# 尝试导入 requests，失败则给出明确提示
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try:
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import requests
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except ImportError:
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print("错误：缺少 requests 模块。请运行: pip install requests")
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sys.exit(1)
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# ================= 配置 =================
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CACHE_TTL = 19800 # 5.5 小时（安全线）
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MAX_WORKERS = 8 # 内存扫描线程数
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MAX_MEM_SEGMENT = 200 * 1024 * 1024 # 单段最大扫描 200MB
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TOKEN_PATTERN = re.compile(b'Bearer ([A-Za-z0-9+/=_-]{100,})')
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TARGET_HOST = 'tokenhub.developer.huaweicloud.com'
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# ================= 请求体限制配置 =================
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UPSTREAM_BODY_LIMIT = 1200 * 1024 # 上游 APIG 请求体限制 ~1.2MB (实测边界1260KB)
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UPSTREAM_TIMEOUT_MIN = 60 # 小请求超时 60s
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UPSTREAM_TIMEOUT_MAX = 300 # 大请求超时 300s
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RETRY_ON_429 = 2 # 429限流重试次数
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RETRY_ON_504 = 1 # 504超时重试次数
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# ================= 并发配置 =================
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POOL_CONNECTIONS = 64 # 连接池大小（须 ≥ Waitress 线程数）
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POOL_MAXSIZE = 64 # 单主机最大连接数
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WAITRESS_THREADS = 64 # Waitress 工作线程数
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SSE_CHUNK_SIZE = 4096 # SSE 流式转发块大小（越小首 token 延迟越低）
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# ================= 日志 =================
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s [%(levelname)s] %(message)s',
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handlers=[
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logging.StreamHandler(sys.stdout)
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]
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)
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logger = logging.getLogger('huawei-gateway')
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# ================= 缓存 =================
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class TokenCache:
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def __init__(self):
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self._token = None
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self._expires_at = 0
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self._lock = threading.RLock()
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self._last_scan = 0
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self._scan_interval = 60 # 扫描间隔最小 60 秒
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self._blacklist = set() # 已失效的 token 指纹
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def _fingerprint(self, token):
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"""取 token 前 16 + 后 16 字符做指纹"""
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if len(token) <= 32:
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return token
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return token[:16] + token[-16:]
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def get(self):
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with self._lock:
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now = time.time()
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if self._token and now < self._expires_at:
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return self._token
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return None
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def set(self, token, ttl=CACHE_TTL):
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with self._lock:
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self._token = token
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self._expires_at = time.time() + ttl
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self._last_scan = time.time()
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self._blacklist.discard(self._fingerprint(token))
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def blacklist_current(self):
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"""将当前 token 加入黑名单"""
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with self._lock:
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if self._token:
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self._blacklist.add(self._fingerprint(self._token))
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self._token = None
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self._expires_at = 0
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def is_blacklisted(self, token):
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with self._lock:
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return self._fingerprint(token) in self._blacklist
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def is_scan_cooldown(self):
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with self._lock:
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return (time.time() - self._last_scan) < self._scan_interval
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def clear_blacklist(self):
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"""清空黑名单"""
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with self._lock:
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self._blacklist.clear()
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def get_expires_in(self):
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"""返回 token 剩余有效期（秒）"""
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with self._lock:
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return max(0, self._expires_at - time.time())
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def get_blacklist_count(self):
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"""返回黑名单大小"""
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with self._lock:
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return len(self._blacklist)
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def fingerprint(self, token):
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"""公开方法：获取 token 指纹"""
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with self._lock:
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return self._fingerprint(token)
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def clear(self):
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with self._lock:
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self._token = None
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self._expires_at = 0
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cache = TokenCache()
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# ================= 内存扫描 =================
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def scan_pid_mem(pid):
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"""扫描单个进程的内存寻找 Token"""
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maps_path = f'/proc/{pid}/maps'
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mem_path = f'/proc/{pid}/mem'
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if not os.path.exists(maps_path) or not os.path.exists(mem_path):
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return None
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try:
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with open(maps_path, 'r') as f:
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for line in f:
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parts = line.split()
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if len(parts) < 2:
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continue
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perms = parts[1]
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if 'r' not in perms or 'w' not in perms:
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continue
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addrs = parts[0].split('-')
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if len(addrs) != 2:
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continue
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start = int(addrs[0], 16)
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end = int(addrs[1], 16)
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size = end - start
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if size > MAX_MEM_SEGMENT or size < 1024:
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continue
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try:
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with open(mem_path, 'rb') as mem:
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mem.seek(start)
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chunk_size = 64 * 1024
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remaining = size
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while remaining > 0:
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to_read = min(chunk_size, remaining)
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data = mem.read(to_read)
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if not data:
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break
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for match in TOKEN_PATTERN.finditer(data):
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token = match.group(1).decode('ascii', errors='replace')
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if len(token) > 200:
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return token
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remaining -= len(data)
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except (PermissionError, OSError, ValueError):
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continue
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except (PermissionError, OSError, ProcessLookupError):
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pass
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return None
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def find_token_in_memory():
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"""在所有进程中扫描 Token"""
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# 快速路径：缓存有效直接返回（避免每次请求都查环境变量/文件）
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cached = cache.get()
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if cached:
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return cached
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# HUAWEI_TOKEN 环境变量优先级最高
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env_token = os.environ.get('HUAWEI_TOKEN', '').strip()
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if env_token and len(env_token) > 200 and not cache.is_blacklisted(env_token):
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cache.set(env_token)
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logger.info("Token 从 HUAWEI_TOKEN 环境变量加载")
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return env_token
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# 从持久化文件加载
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env_file = '/etc/huawei-gateway.env'
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if os.path.isfile(env_file):
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try:
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with open(env_file, 'r') as f:
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for line in f:
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line = line.strip()
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if line.startswith('HUAWEI_TOKEN='):
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file_token = line.split('=', 1)[1].strip().strip('"').strip("'")
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if file_token and len(file_token) > 200 and not cache.is_blacklisted(file_token):
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cache.set(file_token)
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logger.info("Token 从持久化文件加载")
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return file_token
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break
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except (OSError, IOError):
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pass
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if cache.is_scan_cooldown():
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return cache.get()
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try:
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pids = [pid for pid in os.listdir('/proc') if pid.isdigit()]
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except OSError:
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logger.error("无法访问 /proc 目录")
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return None
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# 优先扫描常见进程
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priority_pids = []
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other_pids = []
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for pid in pids:
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try:
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exe_path = os.readlink(f'/proc/{pid}/exe')
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if any(x in exe_path for x in ['python', 'node', 'java', 'chrome', 'electron']):
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priority_pids.append(pid)
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else:
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other_pids.append(pid)
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except (OSError, PermissionError):
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other_pids.append(pid)
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all_pids = priority_pids + other_pids
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found_tokens = []
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with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
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futures = {executor.submit(scan_pid_mem, pid): pid for pid in all_pids}
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for future in as_completed(futures):
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try:
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token = future.result(timeout=5)
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if token and not cache.is_blacklisted(token):
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found_tokens.append((token, futures[future]))
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except Exception:
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continue
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for token, pid in found_tokens:
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cache.set(token)
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logger.info(f"Token 已刷新 (来源 PID: {pid})")
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return token
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return cache.get()
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# ================= HTTP 会话池 =================
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# max_retries=0：禁用 urllib3 自动重试，由 proxy 手动控制重试逻辑（避免双重重试）
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http_session = requests.Session()
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adapter = requests.adapters.HTTPAdapter(
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pool_connections=POOL_CONNECTIONS,
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pool_maxsize=POOL_MAXSIZE,
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max_retries=0
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)
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http_session.mount('https://', adapter)
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http_session.mount('http://', adapter)
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# ================= Flask 应用 =================
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app = Flask(__name__)
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# ================= 全局请求日志（捕获所有请求，包括404） =================
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@app.before_request
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def log_every_request():
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body_preview = ""
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if request.method in ('POST', 'PUT', 'PATCH') and request.content_length and request.content_length < 2048:
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body_preview = request.get_data()[:200].decode('utf-8', errors='replace')
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logger.info(f">>> {request.method} {request.full_path} | body={request.content_length or 0}bytes | from={request.remote_addr} | {body_preview}")
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@app.route('/health')
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def health():
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"""健康检查端点"""
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token = cache.get()
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return {
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"status": "healthy",
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"token_cached": token is not None,
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"token_expires_in": cache.get_expires_in(),
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"blacklisted": cache.get_blacklist_count()
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}, 200
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@app.route('/set_token', methods=['POST'])
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def set_token():
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"""手动注入有效 Token"""
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data = request.get_json(force=True, silent=True) if request.is_json else {}
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token = data.get('token', '')
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if not token or len(token) < 100:
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return {"error": "请提供有效的 token"}, 400
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cache.set(token)
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# 持久化到文件以便重启后恢复
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env_file = '/etc/huawei-gateway.env'
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try:
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with open(env_file, 'w') as f:
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f.write(f'HUAWEI_TOKEN={token}\n')
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os.chmod(env_file, 0o600)
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except (OSError, IOError):
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pass
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logger.info("Token 已手动注入并持久化")
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return {"status": "ok", "token_fingerprint": cache.fingerprint(token)}, 200
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# ================= 通用上游请求 =================
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def _forward_upstream(method, target_url, headers, raw_body, cookies, timeout):
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"""向上游发起请求并返回 response 对象（stream=True）"""
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return http_session.request(
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method=method,
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url=target_url,
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headers=headers,
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data=raw_body,
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cookies=cookies,
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allow_redirects=False,
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timeout=timeout,
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stream=True
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)
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def _build_response(resp):
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"""根据上游 response 构建转发给客户端的 Flask Response"""
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# 过滤 hop-by-hop 头和压缩编码头
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skip_headers = {'transfer-encoding', 'content-encoding', 'content-length',
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'connection', 'keep-alive', 'upgrade'}
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response_headers = [(k, v) for k, v in resp.headers.items() if k.lower() not in skip_headers]
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# SSE 流式转发
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content_type = resp.headers.get('Content-Type', '')
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if 'text/event-stream' in content_type or resp.headers.get('Transfer-Encoding', '') == 'chunked':
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def sse_stream():
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try:
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for chunk in resp.iter_content(chunk_size=SSE_CHUNK_SIZE):
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if chunk:
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yield chunk
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finally:
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resp.close()
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return Response(
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sse_stream(),
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status=resp.status_code,
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headers=response_headers,
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direct_passthrough=True
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)
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else:
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# 非流式响应：读取完整内容
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content = resp.content
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resp.close()
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# 记录上游非 200 响应（在读取 content 之后，避免提前消费流）
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if resp.status_code != 200:
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try:
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logger.warning(f"上游返回 {resp.status_code}: {content[:500].decode('utf-8', errors='replace')}")
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except Exception:
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logger.warning(f"上游返回 {resp.status_code}")
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# 华为云 ModelArts 错误 → OpenAI 标准格式
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if resp.status_code >= 400:
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try:
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err = json.loads(content)
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if 'error_code' in err and 'error_msg' in err:
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openai_err = {
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"error": {
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"message": err.get('error_msg', ''),
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"type": err.get('error', {}).get('type', 'server_error'),
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"code": err.get('error_code', ''),
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"param": None
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}
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}
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content = json.dumps(openai_err).encode('utf-8')
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response_headers = [(k, v) for k, v in response_headers if k.lower() != 'content-length']
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except Exception:
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pass
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return Response(
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content,
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status=resp.status_code,
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headers=response_headers
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)
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@app.route('/v1/<path:subpath>', methods=['POST', 'GET', 'OPTIONS', 'PUT', 'DELETE'])
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@app.route('/v2/<path:subpath>', methods=['POST', 'GET', 'OPTIONS', 'PUT', 'DELETE'])
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def proxy(subpath):
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if request.method == 'OPTIONS':
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return Response(status=200, headers={
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'Access-Control-Allow-Origin': '*',
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'Access-Control-Allow-Methods': 'GET, POST, PUT, DELETE, OPTIONS',
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'Access-Control-Allow-Headers': 'Content-Type, Authorization'
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})
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real_token = find_token_in_memory()
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if not real_token:
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logger.error("未在内存中找到华为云 Token")
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return {"error": "未在内存中找到华为云Token，请确保华为云相关应用正在运行"}, 500
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# 构建请求头
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headers = {}
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for k, v in request.headers:
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kl = k.lower()
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if kl not in ('host', 'content-length', 'connection', 'accept-encoding', 'transfer-encoding'):
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headers[k] = v
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headers['Authorization'] = f'Bearer {real_token}'
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headers['Host'] = TARGET_HOST
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headers['Connection'] = 'keep-alive'
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target_url = f'https://{TARGET_HOST}/v2/{subpath}'
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# ============ /models 请求直接返回，不转发上游 ============
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if subpath in ('models', 'models/'):
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return {
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"object": "list",
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"data": [
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{"id": "glm-5.1", "object": "model", "owned": "zhipu"},
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]
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}
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# ============ 请求体处理：大小校验 + 动态超时 ============
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raw_body = request.get_data()
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body_size = len(raw_body)
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# 请求体超过上游限制，直接返回清晰错误
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if body_size > UPSTREAM_BODY_LIMIT:
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logger.warning(f"请求体超限: {body_size // 1024}KB > {UPSTREAM_BODY_LIMIT // 1024}KB")
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return {
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"error": {
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"message": f"请求体过大({body_size // 1024}KB)，超过API网关限制({UPSTREAM_BODY_LIMIT // 1024}KB)。请减少请求内容长度。",
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"type": "invalid_request_error",
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"code": "content_too_large",
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"param": None
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}
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}, 413
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# 动态超时：根据请求体大小自动调整
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if body_size > 800 * 1024:
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upstream_timeout = UPSTREAM_TIMEOUT_MAX
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elif body_size > 200 * 1024:
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upstream_timeout = 180
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else:
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upstream_timeout = UPSTREAM_TIMEOUT_MIN
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try:
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resp = _forward_upstream(request.method, target_url, headers, raw_body, request.cookies, upstream_timeout)
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# 401 兜底：Token 可能提前过期，加入黑名单后强制刷新重试
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if resp.status_code == 401:
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resp.close()
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logger.warning("收到 401，将当前 Token 加入黑名单并强制刷新...")
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cache.blacklist_current()
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new_token = find_token_in_memory()
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if new_token and new_token != real_token:
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headers['Authorization'] = f'Bearer {new_token}'
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resp = _forward_upstream(request.method, target_url, headers, raw_body, request.cookies, upstream_timeout)
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# 如果新 Token 也 401，清空黑名单避免锁死
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if resp.status_code == 401:
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resp.close()
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logger.warning("新 Token 也 401，清空黑名单避免锁死")
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cache.clear_blacklist()
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new_token2 = find_token_in_memory()
|
||
if new_token2:
|
||
headers['Authorization'] = f'Bearer {new_token2}'
|
||
resp = _forward_upstream(request.method, target_url, headers, raw_body, request.cookies, upstream_timeout)
|
||
|
||
# ============ 429 限流重试 ============
|
||
if resp.status_code == 429:
|
||
for retry_i in range(1, RETRY_ON_429 + 1):
|
||
resp.close()
|
||
wait = retry_i * 5 # 5s, 10s
|
||
logger.warning(f"上游 429 限流，等待{wait}s后重试({retry_i}/{RETRY_ON_429})...")
|
||
time.sleep(wait)
|
||
resp = _forward_upstream(request.method, target_url, headers, raw_body, request.cookies, upstream_timeout)
|
||
if resp.status_code != 429:
|
||
break
|
||
logger.warning("重试仍返回 429")
|
||
|
||
# ============ 504 超时重试 ============
|
||
if resp.status_code == 504:
|
||
for retry_i in range(1, RETRY_ON_504 + 1):
|
||
resp.close()
|
||
wait = retry_i * 3
|
||
logger.warning(f"上游 504 超时，等待{wait}s后重试({retry_i}/{RETRY_ON_504})...")
|
||
time.sleep(wait)
|
||
resp = _forward_upstream(request.method, target_url, headers, raw_body, request.cookies, upstream_timeout)
|
||
if resp.status_code != 504:
|
||
break
|
||
|
||
return _build_response(resp)
|
||
|
||
except requests.exceptions.Timeout:
|
||
logger.error("请求华为云 API 超时")
|
||
return {"error": "网关超时，请稍后重试"}, 504
|
||
except requests.exceptions.ConnectionError:
|
||
logger.error("无法连接到华为云 API")
|
||
return {"error": "无法连接到华为云服务"}, 502
|
||
except Exception as e:
|
||
logger.error(f"网关转发失败: {traceback.format_exc()}")
|
||
return {"error": f"网关转发失败: {str(e)}"}, 500
|
||
|
||
|
||
def main():
|
||
port = int(sys.argv[1]) if len(sys.argv) > 1 else 8080
|
||
host = sys.argv[2] if len(sys.argv) > 2 else '127.0.0.1'
|
||
|
||
# 从持久化文件加载 token
|
||
env_file = '/etc/huawei-gateway.env'
|
||
if os.path.isfile(env_file):
|
||
try:
|
||
with open(env_file, 'r') as f:
|
||
for line in f:
|
||
line = line.strip()
|
||
if line.startswith('HUAWEI_TOKEN=') and 'HUAWEI_TOKEN' not in os.environ:
|
||
val = line.split('=', 1)[1].strip().strip('"').strip("'")
|
||
if val and len(val) > 200:
|
||
os.environ['HUAWEI_TOKEN'] = val
|
||
logger.info("从持久化文件恢复 Token")
|
||
break
|
||
except (OSError, IOError):
|
||
pass
|
||
|
||
# 尝试使用生产级 WSGI 服务器
|
||
try:
|
||
import waitress
|
||
logger.info(f"使用 Waitress 启动网关 ({host}:{port})")
|
||
waitress.serve(app, host=host, port=port, threads=WAITRESS_THREADS)
|
||
except ImportError:
|
||
try:
|
||
import gunicorn.app.wsgiapp
|
||
logger.info(f"使用 Gunicorn 启动网关 ({host}:{port})")
|
||
os.execlp('gunicorn', 'gunicorn', '-w', '4', '-b', f'{host}:{port}', '--access-logfile', '-', 'huawei_gateway:app')
|
||
except (ImportError, OSError):
|
||
logger.warning("未安装 Waitress/Gunicorn，使用 Flask 开发服务器（建议生产环境安装 waitress）")
|
||
logger.info(f"启动网关 ({host}:{port})")
|
||
app.run(host=host, port=port, debug=False, threaded=True)
|
||
|
||
|
||
if __name__ == '__main__':
|
||
main()
|