chaos
a2a96282de
- 添加 flask-compress 中间件，长文本响应自动压缩（压缩率70-80%） - 压缩阈值设为256字节，小响应不压缩 - SSE流式 chunk_size 从 4096 提升到 16384，减少分片开销 - 压缩白名单包含 text/event-stream，SSE也支持压缩 - 解决长文本响应体积过大导致超时/内存溢出的问题
464 lines
16 KiB
Python
Executable File
464 lines
16 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 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 flask-compress，用于响应压缩
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try:
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from flask_compress import Compress
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_compress_available = True
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except ImportError:
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_compress_available = False
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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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# ================= 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(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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# 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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cached = cache.get()
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if cached != 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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cached = cache.get()
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if cached != 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() and cache.get():
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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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http_session = requests.Session()
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adapter = requests.adapters.HTTPAdapter(
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pool_connections=20,
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pool_maxsize=20,
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max_retries=3
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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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# 启用响应压缩（gzip/brotli/zstd），对长文本响应压缩率可达 70-80%
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if _compress_available:
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compress = Compress()
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compress.init_app(app)
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# 设置压缩最小阈值（256字节以下不压缩）
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app.config['COMPRESS_MIN_SIZE'] = 256
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# 压缩 MIME 类型白名单
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app.config['COMPRESS_MIMETYPES'] = [
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'text/html', 'text/plain', 'text/css', 'text/xml',
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'application/json', 'application/javascript',
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'application/xml', 'text/event-stream',
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]
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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": max(0, cache._expires_at - time.time()) if hasattr(cache, '_expires_at') else 0,
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"blacklisted": len(cache._blacklist) if hasattr(cache, '_blacklist') else 0
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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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try:
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with open('/etc/huawei-gateway.env', 'w') as f:
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f.write(f'HUAWEI_TOKEN={token}\n')
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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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@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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target_url = f'https://{TARGET_HOST}/v2/{subpath}'
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try:
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# 使用 stream=True 支持 SSE 流式转发
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resp = http_session.request(
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method=request.method,
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url=target_url,
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headers=headers,
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data=request.get_data(),
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cookies=request.cookies,
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allow_redirects=False,
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timeout=60,
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stream=True
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)
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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 = http_session.request(
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method=request.method,
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url=target_url,
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headers=headers,
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data=request.get_data(),
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cookies=request.cookies,
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allow_redirects=False,
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timeout=60,
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stream=True
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)
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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 = []
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for k, v in resp.headers.items():
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if k.lower() not in skip_headers:
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response_headers.append((k, v))
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# 记录上游非200响应
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if resp.status_code != 200:
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try:
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_err_peek = resp.content[:500]
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logger.warning(f"上游返回 {resp.status_code}: {_err_peek.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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# 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=16384):
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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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# 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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import json as _jj
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err = _jj.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 = _jj.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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except requests.exceptions.Timeout:
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logger.error("请求华为云 API 超时")
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return {"error": "网关超时，请稍后重试"}, 504
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except requests.exceptions.ConnectionError:
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logger.error("无法连接到华为云 API")
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return {"error": "无法连接到华为云服务"}, 502
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except Exception as e:
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logger.error(f"网关转发失败: {traceback.format_exc()}")
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return {"error": f"网关转发失败: {str(e)}"}, 500
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def main():
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port = int(sys.argv[1]) if len(sys.argv) > 1 else 8080
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host = sys.argv[2] if len(sys.argv) > 2 else '127.0.0.1'
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# 从持久化文件加载 token
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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=') and 'HUAWEI_TOKEN' not in os.environ:
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val = line.split('=', 1)[1].strip().strip('"').strip("'")
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if val and len(val) > 200:
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os.environ['HUAWEI_TOKEN'] = val
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logger.info("从持久化文件恢复 Token")
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break
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except (OSError, IOError):
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pass
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# 尝试使用生产级 WSGI 服务器
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try:
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import waitress
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logger.info(f"使用 Waitress 启动网关 ({host}:{port})")
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waitress.serve(app, host=host, port=port, threads=32)
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except ImportError:
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try:
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import gunicorn.app.wsgiapp
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logger.info(f"使用 Gunicorn 启动网关 ({host}:{port})")
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os.execlp('gunicorn', 'gunicorn', '-w', '4', '-b', f'{host}:{port}', '--access-logfile', '-', 'huawei_gateway:app')
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except (ImportError, OSError):
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logger.warning("未安装 Waitress/Gunicorn，使用 Flask 开发服务器（建议生产环境安装 waitress）")
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logger.info(f"启动网关 ({host}:{port})")
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app.run(host=host, port=port, debug=False, threaded=True)
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if __name__ == '__main__':
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main()
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