AO3 Mirror v4 — initial commit

Cookie-aware proxy pool with CF challenge solving
- Tiered proxy pool (fast 50 + main 676)
- Per-proxy cf_clearance cookie persistence
- CF challenge detection + user-browser solving
- Safari + Chrome TLS fingerprint rotation
- Async FastAPI backend with LRU cache
- Passive daemon with systemd supervision
- Stats dashboard + Prometheus metrics
This commit is contained in:
akiba
2026-06-23 08:04:04 +00:00
commit 085cc7a140
16 changed files with 2842 additions and 0 deletions

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# AO3 Mirror — Environment Configuration
# Copy to .env.local and fill in real values:
# cp .env.example .env.local
# ── Mirror ─────────────────────────────────────────────────
MIRROR_DOMAIN=agento3.miscs.dev
AO3_URL=https://archiveofourown.org
PROXY_FILE=/home/ubuntu/proxy.txt
WORKING_PROXIES_FILE=/dev/shm/working_proxies.txt
# Worker config
WORKER_COUNT=2
WORKER_START_PORT=8081
UVICORN_WORKERS=1
# ── Monitoring ────────────────────────────────────────────
PRODUCTION_URL=https://agento3.miscs.dev
HEALTH_CHECK_URL=https://agento3.miscs.dev/health
SENTRY_DSN=your-sentry-dsn
# ── Notifications — at least one required for alerts ─────
# Telegram: create bot via @BotFather, get chat ID by messaging @userinfobot
TELEGRAM_BOT_TOKEN=your-telegram-bot-token
TELEGRAM_CHAT_ID=your-telegram-chat-id
# Slack
SLACK_WEBHOOK_URL=your-slack-webhook-url
# Email (for status reports)
EMAIL_TO=your-email@example.com
# ── GitHub (for issue tracking, PR management) ───────────
GITHUB_REPO=owner/ao3-mirror
GITHUB_USERNAME=your-username
GITHUB_TOKEN=ghp_your-fine-grained-token
# ── Cloudflare ────────────────────────────────────────────
CF_API_TOKEN=your-cloudflare-api-token
CF_ZONE_ID=your-zone-id
# ── WebShare Proxy ────────────────────────────────────────
WEBSHARE_API_KEY=your-webshare-api-key
PROXY_REFRESH_INTERVAL_MIN=30

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# Python
__pycache__/
*.py[cod]
*.pyo
*.so
# Logs
*.log
# Environment
.env
.env.local
.env.*.local
# IDE
.vscode/
.idea/
# OS
.DS_Store
Thumbs.db
# Runtime artifacts
/dev/shm/
working_proxies.txt
# Caddy
caddy-access.log
# Systemd service files (deployed separately)
*.service

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# AGENTS — AO3 Mirror
This file is for AI agents (Hermes, Claude Code, Codex) working on the AO3 reverse proxy mirror.
## Project Overview
AO3 Mirror is a high-availability reverse proxy for archiveofourown.org, designed to restore access for Chinese users. It bypasses Cloudflare's bot protection using TLS fingerprint impersonation (curl_cffi), a tiered WebShare proxy pool (726 proxies, 72%+ CF bypass rate), cookie-aware session management, and user-browser CF challenge solving.
- **Domain**: agento3.miscs.dev (behind Cloudflare CDN)
- **Target**: archiveofourown.org
- **Stack**: Python 3.11, FastAPI, uvicorn + uvloop + httptools, curl_cffi, Caddy
- **QPS**: 720 (cache) | 270 (direct proxy)
## Build Commands
```bash
# Start all workers + reload Caddy
cd /home/ubuntu/ao3-mirror && bash start.sh
# Stop everything
cd /home/ubuntu/ao3-mirror && bash stop.sh
# Restart daemon only
sudo systemctl restart ao3-daemon
# Restart Caddy only
sudo systemctl reload caddy
# Scan proxy pool (MUST run in foreground!)
cd /home/ubuntu/ao3-mirror && python3 scripts/scan_proxies_cffi.py
# Syntax check
python3 -m py_compile proxy_pool.py ao3_fetcher.py app.py cache.py stats.py url_rewriter.py
```
## Architecture
```
User → Cloudflare CDN (agento3.miscs.dev) → Caddy :443 (60s, round-robin)
→ 2× uvicorn workers (8081-8082) [cpu-pinned, uvloop]
→ Tiered Proxy Pool:
Fast (50): POST/login → 8s timeout, 1 retry
Main (676): GET/browse → 15s timeout, 2 retries
→ Cookie-aware sessions: per-proxy cf_clearance persistence
→ TLS impersonation: safari15_5, safari17_0, chrome123, chrome124
→ archiveofourown.org
CF Challenge Solving (v4):
1. All proxies hit CF challenge → generate challenge_token
2. Rewrite challenge page → forward to user's browser
3. User browser executes CF JS → challenge solved
4. cf_clearance captured → saved to proxy cookie jar
5. Original request retried → content delivered
```
### Core Files
| File | Purpose |
|------|---------|
| `app.py` | FastAPI backend v4 — proxy handler, stats, CF challenge solving |
| `proxy_pool.py` | Tiered async proxy pool — cookie jar, weighted selection, sampling |
| `ao3_fetcher.py` | Async fetcher — CF detection, smart retry, cookie injection |
| `cache.py` | Per-worker LRU cache (5000 entries, path-differentiated TTL) |
| `stats.py` | In-memory stats with batch SQLite flush every 60s |
| `url_rewriter.py` | URL/header rewriting (ao3 → mirror domain) |
| `scripts/daemon.py` | Passive worker supervision (systemd, 30s check, 3-strike restart) |
| `scripts/scan_proxies_cffi.py` | Proxy scanner with TLS fingerprint fallback |
| `start.sh` | Startup script — kills old workers, starts new, reloads Caddy |
| `Caddyfile` | Caddy config — TLS, round-robin, 60s timeouts |
## Security Baseline
- No secrets in code — proxy credentials are in `/home/ubuntu/proxy.txt`
- Worker processes bound to 127.0.0.1 only (not exposed publicly)
- Cloudflare CDN terminates TLS and provides DDoS protection at edge
- CORS headers restrict cross-origin access
- stats/health/metrics endpoints are read-only, no mutation
- All proxied content is user-facing; no admin endpoints exposed
## Engine Guidance
- Complex multi-file changes, architecture evolution → Hermes (here)
- Quick targeted fixes, single-file changes → Hermes
- Deploy, monitor, notify, schedule → Hermes
- Proxy scanning, proxy pool refresh → Hermes cron (30min)
- Not sure? Start with Hermes — everything runs via Hermes
## Monitoring
- Health endpoint: https://agento3.miscs.dev/health
- Stats dashboard: https://agento3.miscs.dev/stats
- Metrics (Prometheus): https://agento3.miscs.dev/metrics
- Worker logs: /home/ubuntu/ao3-mirror/worker-0.log, worker-1.log
- Daemon log: /home/ubuntu/ao3-mirror/daemon.log
- Systemd: `systemctl status ao3-daemon`, `journalctl -u ao3-daemon`
## Deployment
- Single server (current host)
- Caddy manages Let's Encrypt TLS certs on agento3.miscs.dev
- CF CDN fronts the domain (Orange Cloud = on)
- Proxy pool: WebShare static residential proxies, refreshed every 30min via Hermes cron
- No CI/CD — manual deploy via start.sh
## Commit Conventions
- One commit per meaningful change
- Python files only (no binaries, no .pyc, no logs, no .env)
- SOUL.md updated to reflect architectural changes
- ao3-mirror skill updated when workflows change

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# AO3 Mirror - Caddy 配置
# 前端负载均衡 + TLS 终止 + Cloudflare CDN 集成
agento3.miscs.dev {
# 全局头
header {
Strict-Transport-Security "max-age=31536000; includeSubDomains"
X-Content-Type-Options "nosniff"
X-Frame-Options "SAMEORIGIN"
X-XSS-Protection "1; mode=block"
Referrer-Policy "strict-origin-when-cross-origin"
-Server
-X-Powered-By
}
# 日志
log {
output file /var/log/ao3-mirror/access.log {
roll_size 100mb
roll_keep 7
roll_keep_for 720h
}
format json
}
# 压缩
encode gzip
# 后端负载均衡 (轮询) - 2 workers on 2-core machine
reverse_proxy 127.0.0.1:8081 127.0.0.1:8082 {
lb_policy round_robin
health_uri /health
health_interval 10s
health_timeout 5s
# 超时配置
transport http {
read_timeout 30s
write_timeout 30s
dial_timeout 5s
}
header_up X-Forwarded-For {remote_host}
header_up X-Forwarded-Proto {scheme}
header_up X-Real-IP {remote_host}
}
}
# 统计子域名 - 监控面板和指标
stats.agento3.miscs.dev {
# 安全头
header {
Strict-Transport-Security "max-age=31536000; includeSubDomains"
X-Content-Type-Options "nosniff"
X-Frame-Options "SAMEORIGIN"
Referrer-Policy "strict-origin-when-cross-origin"
-Server
-X-Powered-By
}
# 日志
log {
output file /var/log/ao3-mirror/stats-access.log {
roll_size 100mb
roll_keep 7
roll_keep_for 720h
}
format json
}
# 压缩
encode gzip
# 路由规则 - 只暴露 /stats 和 /metrics
route {
# /stats 页面 - 代理到后端
reverse_proxy /stats* 127.0.0.1:8081 127.0.0.1:8082 {
lb_policy round_robin
health_uri /health
health_interval 10s
health_timeout 5s
transport http {
read_timeout 30s
write_timeout 30s
dial_timeout 5s
}
header_up X-Forwarded-For {remote_host}
header_up X-Forwarded-Proto {scheme}
header_up X-Real-IP {remote_host}
}
# /metrics 指标 - 代理到后端
reverse_proxy /metrics* 127.0.0.1:8081 127.0.0.1:8082 {
lb_policy round_robin
health_uri /health
health_interval 10s
health_timeout 5s
transport http {
read_timeout 30s
write_timeout 30s
dial_timeout 5s
}
header_up X-Forwarded-For {remote_host}
header_up X-Forwarded-Proto {scheme}
header_up X-Real-IP {remote_host}
}
# 健康检查
respond /health* 200 {
body `{"status":"ok"}`
}
# 其他路径返回 404
respond * 404
}
}

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# AO3 Mirror — SOUL v4
## 项目宗旨
为中国用户恢复 archiveofourown.org 的访问。维护一个高可用、高效、经济的反向代理镜像站。
目标:单台服务器承受 **200+ QPS**CF 5 秒盾自动求解。
## 核心指标
| 指标 | 当前值 | 目标 |
|------|--------|------|
| 本地 QPS缓存命中 | **720 QPS** | ≥200 |
| 平均延迟(缓存命中) | **14-42ms** | ≤100ms |
| 代理存活率AO3/CF | **~72%** (最佳端口) | ≥70% |
| 代理池 | 726 WebShare (最佳端口) | — |
| 有效代理 | ~524 (72%) | ≥500 |
| Cookie 代理 | — | ≥200 (持有 cf_clearance) |
| CF 挑战 | 主动求解 (用户浏览器) | 零感知 |
## 架构总览v4 — Cookie 感知 + CF 挑战求解)
```
用户 ──→ Cloudflare CDN ──→ Caddy (443, 60s) ──→ 2× uvicorn workers (8081-8082) [全异步]
┌──────┴──────┐
│ Tiered Pool │
│ │
│ Fast (50) │ ← POST/login (8s, 1 retry)
│ Main (676) │ ← GET/browse (15s, 2 retries)
│ │
│ Cookie 感知 │ ← 每个代理持有自己的 cookie jar
│ (cf_clearance│ 成功请求后自动保存 Set-Cookie
│ 等持久化) │ 后续请求自动注入
└──────┬──────┘
curl_cffi AsyncSession
(safari15_5/17_0, chrome123/124
TLS 指纹 + 连接复用)
```
### v4 关键改进
| 改进 | v3 | v4 |
|------|-----|-----|
| Cookie 持久化 | ❌ 裸请求 | ✅ 每代理 cookie jar |
| CF 挑战检测 | ❌ 当代理死亡 | ✅ 分离检测,不退避 |
| CF 挑战求解 | ❌ 放弃 | ✅ 用户浏览器自动求解 |
| 代理亲和性 | ❌ 随机 | ✅ Challenge token 保证同 proxy |
| TLS 指纹 | chrome123/124 | safari15_5, safari17_0, chrome123/124 |
| 统计准确度 | ❌ alive=total (假数据) | ✅ 实时遍历计数 |
| Cookie 代理数 | N/A | ✅ 统计面板展示 |
| 用户感知 | 502 错误页 | 短暂「检查浏览器」→ 自动恢复 |
## 核心组件
### 1. 异步代理池 (proxy_pool.py) v4
- `ProxySession` — 每个代理持有自己的 `AsyncSession` + **cookie jar**
- Cookie 生命周期:成功请求自动保存 → 过期自动清理 → 后续请求自动注入
- CF 挑战分离:`mark_challenged()``mark_failure()` — 不退避
- 加权轮询:响应速度越快的代理,被选中的概率越大
- 指数退避:仅对真失败 (connection error/timeout) → 5s→15s→30s→60s→120s→300s
- Cookie-aware 选择:`get_proxy_with_cookies()` 优先返回持有 cf_clearance 的代理
### 2. 异步抓取器 (ao3_fetcher.py) v4
- `async fetch_url()` — Cookie 感知 + CF 挑战检测 + 智能重试
- `is_cf_challenge()` — 检测 403/503 是否为 CF 挑战页body markers + Server header
- 智能重试策略:
1. 首次尝试 → 优先用带 cookie 的代理
2. 遇到 CF 挑战 → 换代理(不退避)
3. 遇到真失败 → 退避 + 换代理
- 重试 2 次fast 路径 1 次)
- 请求超时15s (普通), 8s (交互)
### 3. 后端服务 (app.py) v4
FastAPI绑定 127.0.0.1。
- **Challenge token 映射**`_challenge_map[token] → (method, url, headers, body, proxy_host)`
- 用户浏览器求解 CF 挑战时保证后续请求使用同一代理IP 亲和性)
- TTL 120s过期自动清理
- **挑战页面透传**:所有代理都遇 CF 挑战 → 重写页面 → 发给用户浏览器
- 注入 `_cf_token` cookie 和 meta 标签
- 用户浏览器自动执行 CF JS → 验证通过 → redirect 回镜像
- Worker 捕获 cf_clearance → 保存到代理 cookie jar
- Cookie 流转发AO3 的 Set-Cookie (用户 session + cf_clearance) 域名重写后传给用户
- URL 重写:`archiveofourown.org``agento3.miscs.dev`
- CORS 全开
- 端点:`/health` `/stats` `/metrics` `/robots.txt`
### 4. 缓存 (cache.py)
- LRU 实现,容量 5000
- TTL 按路径差异化首页30s, 章节120s, 图片600s
- 每个 worker 独立
### 5. 统计系统 (stats.py) v2
- 内存热路径:计时器 + 桶式计数 (1s 粒度)
- SQLite 批量写入:每 60s flush
- 统计面板新增Cookie 代理数
### 6. URL 重写器 (url_rewriter.py)
- HTML/CSS/JS 中 `archiveofourown.org``agento3.miscs.dev`
- 响应头 Location/Set-Cookie 重写
- CF 挑战页面特殊 URL 处理
## 代理策略
### TLS 指纹(按优先级)
1. `safari15_5` — 最高 CF 绕过率
2. `safari17_0` — 次优
3. `chrome123` — 稳定
4. `chrome124` — 稳定
**已弃用**chrome110, chrome116 (100% 被CF拦截), chrome120, edge120 (低成功率)
### 代理分级
1. **Fast Pool** (50): 最快代理,用于 POST/登录/注册 (8s timeout, 1 retry)
2. **Main Pool** (676): 全部可用代理,用于 GET/浏览 (15s timeout, 2 retries)
3. **Cookie 池**: 持有 cf_clearance 的代理,优先使用
### 代理扫描器 (scripts/scan_proxies_cffi.py)
- curl_cffi 2 种浏览器指纹 (chrome123/124)
- 50 并发线程
- 每 30 分钟 cron 自动扫描
- 仅扫描最佳端口范围 13500-14499 (72.6% 成功率)
- 结果排序(快→慢)
## 负载均衡
```
Caddy (agento3.miscs.dev:443)
├── Round Robin → 127.0.0.1:8081
└── Round Robin → 127.0.0.1:8082
```
## 自维护框架(被动模式)
| 层级 | 类型 | 频率 | 作用 |
|------|------|------|------|
| daemon.py | systemd service | 30s 轮询 | Worker 被动监督3 次挂才重启 |
| 代理刷新 | Hermes cron | 30min | 重新扫描代理池 |
| 统计报告 | Hermes cron | 1h | 聚合指标 + 异常告警 |
**不运行**e2e 测试、Caddy 检查、文件日志、主动健康检查全部 726 代理
## 关键路径
```
/home/ubuntu/
├── proxy.txt # 5000 原始代理
├── ao3-mirror/
│ ├── app.py # FastAPI v4 (cookie-aware + CF solver)
│ ├── proxy_pool.py # 异步代理池 v4 (cookie jar)
│ ├── ao3_fetcher.py # 异步抓取器 v4 (CF detection)
│ ├── cache.py # LRU 缓存 (5000)
│ ├── stats.py # 内存热路径统计 v2
│ ├── url_rewriter.py # URL 重写
│ ├── Caddyfile # Caddy 配置
│ ├── start.sh / stop.sh
│ ├── ao3-mirror.service / ao3-daemon.service
│ ├── SOUL.md ← 本文档
│ ├── scripts/
│ │ ├── daemon.py # 自维护守护进程
│ │ ├── scan_proxies_cffi.py # TLS 指纹代理扫描
│ │ └── restart_workers.py # Worker 重启工具
│ └── worker-*.log # Per-worker stdout logs
/dev/shm/
├── working_proxies.txt # 有效代理
├── ao3_stats.db # 统计数据(冷存储)
└── ao3/
└── status.json # 守护进程状态
```
## 已知限制
- 每个 worker 独立缓存,无共享层
- Cookie jar 是内存存储worker 重启后丢失
- 用户浏览器求解 CF 挑战需要 120s 内完成token TTL
- 挑战页面 JS 执行依赖用户浏览器环境
## 下一步
- [x] Cookie 感知代理层 (v4)
- [x] CF 挑战检测与分离 (v4)
- [x] 用户浏览器 CF 挑战求解 (v4)
- [ ] 共享缓存层 (Redis/memcached) 跨 worker
- [ ] Cookie jar 持久化 (重启后恢复)
- [ ] 多 proxy provider 源
- [ ] 预加载热门页面到缓存
- [ ] Worker 间 cookie jar 同步

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"""
异步 AO3 内容抓取器 v4 — Cookie 感知 + CF 挑战检测 + 智能重试
v4 vs v3:
- CF 挑战检测:不再把 403/503 一律当失败
- Cookie 注入:请求时自动携带 proxy 级别的 cookiescf_clearance 等)
- Cookie 保存:成功请求后自动提取 Set-Cookie 并保存到 proxy cookie jar
- 智能重试:挑战时优先用带 cookie 的代理,无 cookie 则换代理
- 挑战页面透传:所有重试都遇到挑战时,返回挑战 HTML 让用户浏览器求解
"""
import asyncio
import logging
import time
from typing import Optional
from proxy_pool import get_proxy_pool, ProxySession
logger = logging.getLogger("ao3-fetcher")
# ─── CF Challenge Detection ───────────────────────────────────────────────
# Markers in response body that indicate a Cloudflare challenge page
CF_CHALLENGE_MARKERS = [
b'/cdn-cgi/challenge-platform',
b'cf-challenge-running',
b'cf-browser-verification',
b'window._cf_chl_opt',
b'challenge-platform',
b'cf-turnstile',
b'cf_chl_',
# Sometimes CF just returns "Just a moment..." without JS markers
b'Checking your browser',
b'Just a moment...',
]
def is_cf_challenge(status: int, body: bytes, headers: dict) -> bool:
"""Detect if response is a Cloudflare challenge page (not a real error)."""
if status not in (403, 503, 429):
return False
# Quick check: CF always sets Server header on challenge pages
server = headers.get("Server", headers.get("server", ""))
if "cloudflare" not in server.lower():
# Check body for challenge markers
for marker in CF_CHALLENGE_MARKERS:
if marker in body:
return True
return False
# Server: cloudflare + non-200 status = likely challenge
for marker in CF_CHALLENGE_MARKERS:
if marker in body:
return True
# If Server is cloudflare and status is 403/503, it's almost certainly a challenge
if status in (403, 503):
return True
return False
# ─── Headers ──────────────────────────────────────────────────────────────
CHROME_HEADERS = {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7",
"Sec-Ch-Ua": '"Not A(Brand";v="99", "Google Chrome";v="120", "Chromium";v="120"',
"Sec-Ch-Ua-Mobile": "?0",
"Sec-Ch-Ua-Platform": '"Windows"',
"Sec-Fetch-Dest": "document",
"Sec-Fetch-Mode": "navigate",
"Sec-Fetch-Site": "none",
"Sec-Fetch-User": "?1",
"Upgrade-Insecure-Requests": "1",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36",
"DNT": "1",
}
API_HEADERS = {
"Accept": "*/*",
"Accept-Language": "en-US,en;q=0.9",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36",
}
# ─── Timeout config ───────────────────────────────────────────────────────
FAST_REQUEST_TIMEOUT = 8 # login/register/signup
NORMAL_REQUEST_TIMEOUT = 15
CONNECT_TIMEOUT = 5
MAX_RETRIES = 2
FAST_MAX_RETRIES = 1
FAST_PATHS = {
"/users/login",
"/users/sign_up",
"/users/new",
"/invitation_requests",
"/token_dispenser.json",
"/user_sessions",
}
def _is_fast_path(url: str) -> bool:
for fp in FAST_PATHS:
if fp in url:
return True
if "/users/" in url or "/user_sessions" in url:
return True
return False
def _now() -> float:
try:
return asyncio.get_running_loop().time()
except RuntimeError:
return time.time()
def _merge_cookies(proxy_cookies: str, user_cookies: str) -> str:
"""Merge proxy-level cookies (cf_clearance) with user cookies. User cookies take precedence."""
if not proxy_cookies and not user_cookies:
return ""
if not proxy_cookies:
return user_cookies
if not user_cookies:
return proxy_cookies
# User cookies take priority (they contain session auth)
# But put proxy cookies first so user cookies can override
return f"{proxy_cookies}; {user_cookies}"
async def fetch_url(
url: str,
method: str = "GET",
headers: Optional[dict] = None,
body: Optional[bytes] = None,
cookies: Optional[dict] = None,
is_api: bool = False,
preferred_proxy: Optional[str] = None, # v4: proxy host:port for challenge affinity
) -> dict:
"""
Async fetch from AO3 through proxy pool with cookie-aware session reuse.
Priority-based:
- Login/register paths → fast pool + 8s timeout + 1 retry
- Normal paths → cookie-preferring proxies + 15s timeout + 2 retries
v4 improvements:
- CF challenge detection: don't treat challenge as proxy failure
- Cookie injection: auto-send saved cf_clearance per proxy
- Cookie saving: auto-extract Set-Cookie on success
- Challenge body returned for user-browser solving
Returns: {
"status": 200,
"headers": {...},
"body": b"...",
"cookies": {...},
"success": True/False,
"error": "...",
"elapsed": 0.5,
"proxy_host": "p.webshare.io:10296",
# v4:
"is_challenge": False,
"challenge_body": b"" | None, # CF challenge HTML for user-browser solving
"challenge_proxy": "" | None, # which proxy got the challenge
}
"""
pool = get_proxy_pool()
base_headers = API_HEADERS.copy() if is_api else CHROME_HEADERS.copy()
if headers:
for h in ["Cookie", "Referer", "Content-Type", "X-Requested-With", "Accept",
"Origin", "X-CSRF-Token", "Authorization"]:
if h in headers:
base_headers[h] = headers[h]
user_cookie_str = ""
if cookies:
user_cookie_str = "; ".join(f"{k}={v}" for k, v in cookies.items())
# Determine priority level
is_fast = _is_fast_path(url) or method in ("POST", "PUT", "PATCH")
request_timeout = FAST_REQUEST_TIMEOUT if is_fast else NORMAL_REQUEST_TIMEOUT
max_retries = FAST_MAX_RETRIES if is_fast else MAX_RETRIES
last_error = None
last_challenge_body = None
last_challenge_proxy = None
seen_proxies = set() # Don't retry with same proxy
# v4: if preferred_proxy is set (from challenge affinity), use it first
if preferred_proxy:
try:
target_proxy = None
for p in pool._proxies:
if p.host_port == preferred_proxy:
target_proxy = p
break
if target_proxy and target_proxy.is_available:
result = await _try_proxy(
target_proxy, url, method, body, base_headers, user_cookie_str,
request_timeout, is_fast
)
if result["success"]:
# preferred proxy worked — save cookies
target_proxy.save_cookies(result.get("headers", {}))
return result
if result.get("is_challenge"):
last_challenge_body = result.get("challenge_body")
last_challenge_proxy = target_proxy.host_port
seen_proxies.add(target_proxy.host_port)
except Exception:
pass
for attempt in range(max_retries):
# v4: prefer proxies with cookies, fallback to any available
if attempt == 0:
# First attempt: use proxy with cookies if available
proxy = pool.get_proxy_with_cookies()
if not proxy:
proxy = pool.get_fast_proxy() if is_fast else pool.get_proxy()
elif attempt == 1 and last_challenge_body:
# Second attempt after challenge: try another proxy with cookies
proxy = pool.get_proxy_with_cookies()
# Make sure it's not the same one
if proxy and proxy.host_port in seen_proxies:
proxy = pool.get_fast_proxy() if is_fast else pool.get_proxy()
if not proxy:
proxy = pool.get_fast_proxy() if is_fast else pool.get_proxy()
else:
proxy = pool.get_fast_proxy() if is_fast else pool.get_proxy()
if not proxy or proxy.host_port in seen_proxies:
# Find an unseen proxy
for _ in range(5):
p = pool.get_proxy()
if p and p.host_port not in seen_proxies:
proxy = p
break
if not proxy or proxy.host_port in seen_proxies:
continue
seen_proxies.add(proxy.host_port)
result = await _try_proxy(
proxy, url, method, body, base_headers, user_cookie_str,
request_timeout, is_fast
)
if result["success"]:
# Save response cookies to proxy cookie jar for future requests
proxy.save_cookies(result.get("headers", {}))
return result
if result.get("is_challenge"):
last_challenge_body = result.get("challenge_body")
last_challenge_proxy = proxy.host_port
last_error = result.get("error", "CF_CHALLENGE")
# Don't break — try another proxy
continue
# Real failure (connection error, timeout)
last_error = result.get("error", "UNKNOWN")
# All retries exhausted
return {
"status": 0, "headers": {}, "body": b"", "cookies": {},
"success": False,
"error": f"All retries failed: {last_error}",
"elapsed": 0, "proxy_host": None,
"is_challenge": last_challenge_body is not None,
"challenge_body": last_challenge_body,
"challenge_proxy": last_challenge_proxy,
}
async def _try_proxy(
proxy: ProxySession,
url: str,
method: str,
body: Optional[bytes],
base_headers: dict,
user_cookie_str: str,
request_timeout: int,
is_fast: bool,
) -> dict:
"""Try a single request through one proxy. Returns result dict."""
host_port = f"{proxy.host}:{proxy.port}"
start_time = _now()
try:
session = await proxy.get_session()
# v4: Build per-request headers with proxy cookies
# IMPORTANT: use headers= parameter (never session.headers.update() — race condition!)
request_headers = base_headers.copy()
# Inject proxy-level cookies (cf_clearance, etc.)
proxy_cookie_str = proxy.get_cookie_header()
cookie_str = _merge_cookies(proxy_cookie_str, user_cookie_str)
if cookie_str:
request_headers["Cookie"] = cookie_str
# Execute request
if method == "GET":
resp = await session.get(url, timeout=request_timeout, headers=request_headers)
elif method == "POST":
resp = await session.post(url, data=body, timeout=request_timeout, headers=request_headers)
elif method == "HEAD":
resp = await session.head(url, timeout=request_timeout, headers=request_headers)
else:
resp = await session.request(method, url, data=body, timeout=request_timeout,
headers=request_headers)
elapsed = _now() - start_time
status = resp.status_code
resp_body = resp.content
resp_headers = dict(resp.headers)
resp_cookies = {}
if hasattr(resp, "cookies"):
for k, v in resp.cookies.items():
resp_cookies[k] = v
# v4: Check for CF challenge
if is_cf_challenge(status, resp_body, resp_headers):
proxy.mark_challenged()
logger.warning(f"[CF_CHALLENGE] {host_port} -> {url[:60]}: {status} ({elapsed:.1f}s)")
return {
"status": status,
"headers": resp_headers,
"body": resp_body,
"cookies": resp_cookies,
"success": False,
"error": f"CF_CHALLENGE_{status}",
"elapsed": elapsed,
"proxy_host": host_port,
"is_challenge": True,
"challenge_body": resp_body,
"challenge_proxy": host_port,
}
# Success — any 2xx-4xx is proxied through
if 200 <= status < 500:
proxy.mark_success(elapsed)
logger.debug(f"{host_port} -> {url[:60]}: {status} ({elapsed:.2f}s)")
# v4: Save response cookies to proxy
proxy.save_cookies(resp_headers)
return {
"status": status,
"headers": resp_headers,
"body": resp_body,
"cookies": resp_cookies,
"success": True,
"elapsed": elapsed,
"proxy_host": host_port,
"is_challenge": False,
"challenge_body": None,
"challenge_proxy": None,
}
# True error status (5xx)
proxy.mark_failure()
logger.warning(f"Attempt: {host_port} -> {url[:60]}: {status}")
return {
"status": status,
"headers": resp_headers,
"body": resp_body,
"cookies": resp_cookies,
"success": False,
"error": f"HTTP_{status}",
"elapsed": elapsed,
"proxy_host": host_port,
"is_challenge": False,
"challenge_body": None,
"challenge_proxy": None,
}
except asyncio.TimeoutError:
proxy.mark_failure()
elapsed = _now() - start_time
logger.warning(f"TIMEOUT: {host_port} -> {url[:60]} ({elapsed:.1f}s, timeout={request_timeout}s)")
return {
"status": 0, "headers": {}, "body": b"", "cookies": {},
"success": False, "error": "TIMEOUT",
"elapsed": elapsed, "proxy_host": host_port,
"is_challenge": False, "challenge_body": None, "challenge_proxy": None,
}
except Exception as e:
proxy.mark_failure()
elapsed = _now() - start_time
err_str = str(e)[:120]
logger.debug(f"ERROR: {host_port} -> {e} ({elapsed:.1f}s)")
return {
"status": 0, "headers": {}, "body": b"", "cookies": {},
"success": False, "error": err_str,
"elapsed": elapsed, "proxy_host": host_port,
"is_challenge": False, "challenge_body": None, "challenge_proxy": None,
}

672
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"""
AO3 反代后端 v4 — Cookie 感知 + CF 挑战用户浏览器求解
v4 vs v3:
- Challenge token 映射:用户浏览器求解 CF 挑战时,保证同一 proxy 亲和性
- 挑战页面透传:所有代理都遇到 CF 挑战时,把挑战页发给用户浏览器求解
- Cookie 流:成功响应自动保存 proxy cookie后续请求自动携带
- 统计面板展示 cookie-aware 代理数
"""
import hashlib
import json
import logging
import os
import secrets
import sys
import threading
import time
from urllib.parse import urlparse, urlunparse
from fastapi import FastAPI, Request, Response
from fastapi.responses import HTMLResponse, JSONResponse, PlainTextResponse, RedirectResponse
import uvicorn
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from proxy_pool import get_proxy_pool
from ao3_fetcher import fetch_url, is_cf_challenge
from url_rewriter import rewrite_body, rewrite_response_headers, needs_rewrite, MIRROR_DOMAIN
from cache import get_cache, get_ttl_for_path
from stats import get_stats_collector
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s",
handlers=[logging.StreamHandler()],
)
logger = logging.getLogger("ao3-backend")
AO3_BASE = "https://archiveofourown.org"
MIRROR_HOST = MIRROR_DOMAIN
LOCAL_PATHS = {"/stats", "/health", "/metrics", "/favicon.ico", "/robots.txt"}
# ─── Challenge Token Map (v4) ──────────────────────────────────────────────
# Maps challenge_token → (method, ao3_url, headers, body, cookies, proxy_host, expires)
_challenge_map: dict[str, tuple] = {}
_challenge_lock = threading.Lock()
CHALLENGE_TOKEN_TTL = 120 # 2 minutes for the user's browser to solve the challenge
def _make_challenge_token() -> str:
return secrets.token_urlsafe(16)
def _store_challenge(token: str, method: str, ao3_url: str, headers: dict,
body: bytes, cookies: dict, proxy_host: str):
with _challenge_lock:
# Clean expired tokens
now = time.time()
expired = [k for k, v in _challenge_map.items() if v[6] < now]
for k in expired:
del _challenge_map[k]
_challenge_map[token] = (method, ao3_url, headers, body, cookies,
proxy_host, now + CHALLENGE_TOKEN_TTL)
def _get_challenge(token: str) -> tuple | None:
with _challenge_lock:
entry = _challenge_map.get(token)
if entry and entry[6] > time.time():
del _challenge_map[token]
return entry
if entry:
del _challenge_map[token] # expired
return None
# ─── App ───────────────────────────────────────────────────────────────────
app = FastAPI(
title="AO3 Mirror",
description="AO3 reverse proxy mirror for Chinese users",
version="4.0.0",
docs_url=None,
redoc_url=None,
)
def get_client_ip(request: Request) -> str:
cf_ip = request.headers.get("CF-Connecting-IP")
if cf_ip:
return cf_ip
forwarded = request.headers.get("X-Forwarded-For")
if forwarded:
return forwarded.split(",")[0].strip()
return request.client.host if request.client else "unknown"
def build_ao3_url(path: str, query: str = "") -> str:
url = f"{AO3_BASE}{path}"
if query:
url = f"{url}?{query}"
return url
# ─── Challenge page URL rewriting ──────────────────────────────────────────
def _rewrite_challenge_page(body: bytes, proxy_host: str, token: str) -> bytes:
"""Rewrite CF challenge page so all URLs go through mirror, and tag with challenge token."""
import re
# Basic AO3 domain rewrite
body = body.replace(b"archiveofourown.org", MIRROR_DOMAIN.encode())
# Rewrite /cdn-cgi/ challenge endpoints to go through mirror
# These are CF's internal challenge platform URLs
body = body.replace(
b"/cdn-cgi/challenge-platform",
f"/cdn-cgi/challenge-platform".encode()
)
# Inject a marker meta tag so we can detect challenge pages coming back
marker = f'<meta name="cf-challenge-proxy" content="{proxy_host}">'.encode()
marker_cookie = (
f'<script>document.cookie="_cf_token={token};path=/;max-age={CHALLENGE_TOKEN_TTL}";</script>'
).encode()
body = body.replace(b"<head>", b"<head>" + marker + marker_cookie, 1)
if b"<head>" not in body:
body = b"<head>" + marker + marker_cookie + b"</head>" + body
return body
# ─── Response header helpers ───────────────────────────────────────────────
def filter_response_headers(headers: dict) -> dict:
blocked = {
"transfer-encoding", "content-encoding",
"alt-svc", "cf-ray", "cf-cache-status", "cf-request-id",
"server", "x-powered-by",
"cross-origin-resource-policy", "cross-origin-embedder-policy",
"cross-origin-opener-policy", "cross-origin-window-policy",
"accept-ch", "critical-ch",
}
result = {}
for key, value in headers.items():
if key.lower() in blocked:
continue
if key.lower().startswith("cf-"):
continue
result[key] = value
result["X-Proxy"] = "AO3-Mirror/4.0"
result["X-Cache"] = "MISS"
result["Cache-Control"] = "public, max-age=60, s-maxage=60"
return result
def add_cors(response: Response):
response.headers["Access-Control-Allow-Origin"] = "*"
response.headers["Access-Control-Allow-Methods"] = "GET, POST, HEAD, OPTIONS, PUT, DELETE, PATCH"
response.headers["Access-Control-Allow-Headers"] = "Content-Type, Authorization, Cookie, X-CSRF-Token"
response.headers["Access-Control-Max-Age"] = "86400"
response.headers["Access-Control-Allow-Credentials"] = "true"
# ─── Local Routes ──────────────────────────────────────────────────────────
@app.get("/health")
async def health():
pool = get_proxy_pool()
stats = pool.get_stats()
resp = JSONResponse({
"status": "ok",
"timestamp": time.time(),
"version": "4.0.0",
"proxy_pool": stats,
})
resp.headers["Cache-Control"] = "no-store, no-cache, must-revalidate"
resp.headers["Pragma"] = "no-cache"
return resp
@app.get("/robots.txt")
async def robots():
return PlainTextResponse(
"User-agent: *\nDisallow: /stats\nDisallow: /health\n"
)
# ─── Stats Dashboard ───────────────────────────────────────────────────────
@app.get("/stats", response_class=HTMLResponse)
async def stats_page():
collector = get_stats_collector()
pool = get_proxy_pool()
cache = get_cache()
stats = collector.get_overview()
proxy_stats = pool.get_stats()
cache_stats = cache.get_stats()
hourly = stats.get("hourly", [])
chart_labels = json.dumps([
time.strftime("%H:%M", time.localtime(h["hour"]))
for h in hourly[-24:]
])
chart_requests = json.dumps([h["total"] for h in hourly[-24:]])
chart_success = json.dumps([h["successful"] for h in hourly[-24:]])
chart_elapsed = json.dumps([h["avg_elapsed"] * 1000 for h in hourly[-24:]])
return f"""<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AO3 Mirror - 统计面板 v4</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>
<style>
* {{ margin: 0; padding: 0; box-sizing: border-box; }}
body {{ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: #0f0f1a; color: #e0e0e0; padding: 20px; }}
.container {{ max-width: 1200px; margin: 0 auto; }}
h1 {{ font-size: 1.8em; margin-bottom: 20px; color: #990000; }}
h2 {{ font-size: 1.2em; margin-bottom: 12px; color: #ccc; }}
.grid {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 15px; margin-bottom: 25px; }}
.card {{ background: #1a1a2e; border-radius: 10px; padding: 18px; border: 1px solid #2a2a40; }}
.card .label {{ font-size: 0.8em; color: #888; margin-bottom: 5px; text-transform: uppercase; }}
.card .value {{ font-size: 1.8em; font-weight: bold; }}
.card .sub {{ font-size: 0.85em; color: #999; margin-top: 4px; }}
.green {{ color: #4ade80; }}
.red {{ color: #f87171; }}
.yellow {{ color: #fbbf24; }}
.blue {{ color: #60a5fa; }}
.purple {{ color: #a78bfa; }}
.orange {{ color: #fb923c; }}
.chart-container {{ background: #1a1a2e; border-radius: 10px; padding: 18px; margin-bottom: 25px; border: 1px solid #2a2a40; }}
.chart-row {{ display: grid; grid-template-columns: 1fr 1fr; gap: 15px; }}
table {{ width: 100%; border-collapse: collapse; }}
th, td {{ padding: 8px 12px; text-align: left; border-bottom: 1px solid #2a2a40; font-size: 0.9em; }}
th {{ color: #888; text-transform: uppercase; font-size: 0.8em; }}
.badge {{ display: inline-block; padding: 2px 8px; border-radius: 4px; font-size: 0.8em; }}
.badge-green {{ background: rgba(74, 222, 128, 0.15); color: #4ade80; }}
.badge-red {{ background: rgba(248, 113, 113, 0.15); color: #f87171; }}
@media (max-width: 768px) {{ .chart-row {{ grid-template-columns: 1fr; }} }}
</style>
</head>
<body>
<div class="container">
<h1>🛡 AO3 Mirror 统计面板 v4</h1>
<div class="grid">
<div class="card">
<div class="label">总请求数</div>
<div class="value blue">{stats['total_requests']:,}</div>
<div class="sub">运行 {stats['uptime_human']}</div>
</div>
<div class="card">
<div class="label">最近 1 分钟</div>
<div class="value yellow">{stats['recent_1m']:,} req</div>
<div class="sub">最近 5 分钟: {stats['recent_5m']:,}</div>
</div>
<div class="card">
<div class="label">成功率</div>
<div class="value green">{stats['success_rate']}%</div>
<div class="sub">失败: {stats['failed']:,}</div>
</div>
<div class="card">
<div class="label">缓存命中率</div>
<div class="value purple">{stats['cache_rate']}%</div>
<div class="sub">已缓存: {stats['cached']:,}</div>
</div>
<div class="card">
<div class="label">平均延迟</div>
<div class="value">{stats['avg_elapsed_ms']} ms</div>
<div class="sub">P99: {stats['p99_elapsed_ms']} ms</div>
</div>
<div class="card">
<div class="label">代理池</div>
<div class="value green">{proxy_stats['alive']}<span style="font-size:0.5em;color:#888;">/{proxy_stats['total']}</span></div>
<div class="sub">可用: {proxy_stats['available']} | 受损: {proxy_stats['dead']} | Banned: {proxy_stats['banned']}</div>
</div>
<div class="card">
<div class="label">Cookie 代理</div>
<div class="value orange">{proxy_stats['with_cookies']}<span style="font-size:0.5em;color:#888;">/{proxy_stats['alive']}</span></div>
<div class="sub">已持有 cf_clearance</div>
</div>
<div class="card">
<div class="label">本地缓存</div>
<div class="value">{cache_stats['size']}<span style="font-size:0.5em;color:#888;">/{cache_stats['capacity']}</span></div>
<div class="sub">已用: {cache_stats['usage_pct']}%</div>
</div>
</div>
<div class="chart-row">
<div class="chart-container">
<h2>请求趋势 (最近 24 小时)</h2>
<canvas id="requestChart" height="150"></canvas>
</div>
<div class="chart-container">
<h2>响应延迟 (最近 24 小时)</h2>
<canvas id="latencyChart" height="150"></canvas>
</div>
</div>
<div class="chart-container">
<h2>热门路径</h2>
<table>
<tr><th>路径</th><th>请求数</th><th>成功</th><th>平均延迟</th></tr>
{''.join(f'<tr><td>{p["path"]}</td><td>{p["requests"]:,}</td><td><span class="badge {"badge-green" if p["requests"]==0 or p["successful"]/max(p["requests"],1)>0.8 else "badge-red"}">{round(p["successful"]/max(p["requests"],1)*100)}%</span></td><td>{p["avg_elapsed"]*1000:.0f}ms</td></tr>' for p in stats['top_paths'][:15])}
</table>
</div>
</div>
<script>
new Chart(document.getElementById('requestChart'), {{
type: 'line',
data: {{
labels: {chart_labels},
datasets: [{{
label: '总请求',
data: {chart_requests},
borderColor: '#60a5fa',
backgroundColor: 'rgba(96,165,250,0.1)',
fill: true, tension: 0.3, pointRadius: 1,
}}, {{
label: '成功',
data: {chart_success},
borderColor: '#4ade80',
backgroundColor: 'rgba(74,222,128,0.1)',
fill: true, tension: 0.3, pointRadius: 1,
}}]
}},
options: {{
responsive: true, maintainAspectRatio: false,
plugins: {{ legend: {{ labels: {{ color: '#ccc' }} }} }},
scales: {{
x: {{ ticks: {{ color: '#888', maxTicksLimit: 12 }}, grid: {{ color: '#2a2a40' }} }},
y: {{ beginAtZero: true, ticks: {{ color: '#888' }}, grid: {{ color: '#2a2a40' }} }}
}}
}}
}});
new Chart(document.getElementById('latencyChart'), {{
type: 'bar',
data: {{
labels: {chart_labels},
datasets: [{{
label: '平均延迟 (ms)',
data: {chart_elapsed},
backgroundColor: 'rgba(167,139,250,0.5)',
borderColor: '#a78bfa', borderWidth: 1, borderRadius: 3,
}}]
}},
options: {{
responsive: true, maintainAspectRatio: false,
plugins: {{ legend: {{ labels: {{ color: '#ccc' }} }} }},
scales: {{
x: {{ ticks: {{ color: '#888', maxTicksLimit: 12 }}, grid: {{ color: '#2a2a40' }} }},
y: {{ beginAtZero: true, ticks: {{ color: '#888' }}, grid: {{ color: '#2a2a40' }} }}
}}
}}
}});
</script>
</body>
</html>"""
# ─── Metrics ───────────────────────────────────────────────────────────────
@app.get("/metrics")
async def metrics():
collector = get_stats_collector()
pool = get_proxy_pool()
cache = get_cache()
stats = collector.get_overview()
proxy_stats = pool.get_stats()
cache_stats = cache.get_stats()
lines = [
"# HELP ao3_mirror_requests_total Total proxy requests",
"# TYPE ao3_mirror_requests_total counter",
f'ao3_mirror_requests_total {stats["total_requests"]}',
"# HELP ao3_mirror_successful_requests Successful requests",
"# TYPE ao3_mirror_successful_requests counter",
f'ao3_mirror_successful_requests {stats["successful"]}',
"# HELP ao3_mirror_failed_requests Failed requests",
"# TYPE ao3_mirror_failed_requests counter",
f'ao3_mirror_failed_requests {stats["failed"]}',
"# HELP ao3_mirror_cache_hits Cache hit count",
"# TYPE ao3_mirror_cache_hits counter",
f'ao3_mirror_cache_hits {stats["cached"]}',
"# HELP ao3_mirror_avg_elapsed_ms Average response time",
"# TYPE ao3_mirror_avg_elapsed_ms gauge",
f'ao3_mirror_avg_elapsed_ms {stats["avg_elapsed_ms"]}',
"# HELP ao3_mirror_proxy_pool Proxy pool status",
"# TYPE ao3_mirror_proxy_pool gauge",
f'ao3_mirror_proxy_alive {proxy_stats["alive"]}',
f'ao3_mirror_proxy_dead {proxy_stats["dead"]}',
f'ao3_mirror_proxy_banned {proxy_stats["banned"]}',
f'ao3_mirror_proxy_available {proxy_stats["available"]}',
f'ao3_mirror_proxy_with_cookies {proxy_stats["with_cookies"]}',
"# HELP ao3_mirror_cache_size Current cache size",
"# TYPE ao3_mirror_cache_size gauge",
f'ao3_mirror_cache_size {cache_stats["size"]}',
]
return PlainTextResponse("\n".join(lines))
# ─── Proxy Core (v4) ──────────────────────────────────────────────────────
@app.api_route("/{path:path}", methods=["GET", "POST", "HEAD", "OPTIONS", "PUT", "DELETE", "PATCH"])
async def proxy_handler(request: Request, path: str):
"""Main proxy handler — with cookie-aware fetching and CF challenge solving."""
start_time = time.time()
client_ip = get_client_ip(request)
if path == "" or path == "/":
path = ""
full_path = f"/{path}" if path else "/"
if full_path in LOCAL_PATHS or full_path.startswith("/stats") or full_path.startswith("/health"):
return JSONResponse({"error": "Not found"}, status_code=404)
if request.method == "OPTIONS":
resp = Response()
add_cors(resp)
return resp
# ── v4: Challenge token check ──────────────────────────────────────────
# If this request has a _cf_token cookie, it's part of a challenge resolution flow
cf_token = request.cookies.get("_cf_token") or request.query_params.get("_cf_token")
preferred_proxy = None
if cf_token:
challenge_entry = _get_challenge(cf_token)
if challenge_entry:
orig_method, orig_url, orig_headers, orig_body, orig_cookies, proxy_host, _ = challenge_entry
preferred_proxy = proxy_host
logger.info(f"Challenge resolution: using proxy {proxy_host} for {orig_url[:60]}")
# Re-fetch the original request with the challenge proxy
result = await fetch_url(
url=orig_url, method=orig_method,
headers=dict(request.headers),
body=await request.body() if orig_method in ("POST", "PUT", "PATCH") else None,
cookies=orig_cookies,
is_api="/api/" in orig_url,
preferred_proxy=preferred_proxy,
)
if result["success"]:
# Challenge solved! Proxy now has cf_clearance. Return content.
elapsed = time.time() - start_time
rewritten_body = rewrite_body(result["body"],
result["headers"].get("Content-Type", ""))
rewritten_headers = rewrite_response_headers(result["headers"])
final_headers = filter_response_headers(rewritten_headers)
final_headers["X-Cache"] = "MISS"
final_headers["X-CF-Status"] = "solved"
# Set cf_clearance as a cookie on the mirror domain too
# so subsequent requests benefit
resp = Response(content=rewritten_body, status_code=result["status"],
headers=final_headers)
# Forward any Set-Cookie from AO3 (includes cf_clearance)
for k, v in result["headers"].items():
if k.lower() == "set-cookie":
# Rewrite domain
v_rewritten = v.replace("domain=archiveofourown.org",
f"domain={MIRROR_DOMAIN}")
v_rewritten = v_rewritten.replace("domain=.archiveofourown.org",
f"domain=.{MIRROR_DOMAIN}")
resp.headers.add("Set-Cookie", v_rewritten)
# Clean up challenge token cookie
resp.delete_cookie("_cf_token", path="/")
collector = get_stats_collector()
collector.log_request(method=orig_method, path=full_path,
status=result["status"], elapsed=elapsed,
cached=False, proxy_host=preferred_proxy,
client_ip=client_ip)
add_cors(resp)
return resp
# ── Normal request flow ────────────────────────────────────────────────
query_string = request.url.query
ao3_url = build_ao3_url(f"/{path}" if path else "/", query_string)
# Check cache
cache = get_cache()
cached = cache.get(ao3_url, dict(request.headers))
if cached:
body, resp_headers, status = cached
elapsed = time.time() - start_time
collector = get_stats_collector()
collector.log_request(method=request.method, path=full_path, status=status,
elapsed=elapsed, cached=True, client_ip=client_ip)
headers = filter_response_headers(resp_headers)
headers["X-Cache"] = "HIT"
return Response(content=body, status_code=status, headers=headers)
# Prepare request
method = request.method
client_headers = dict(request.headers)
req_body = None
if method in ("POST", "PUT", "PATCH"):
req_body = await request.body()
cookies = {}
cookie_header = request.headers.get("cookie", "")
if cookie_header:
for pair in cookie_header.split(";"):
if "=" in pair:
k, v = pair.split("=", 1)
cookies[k.strip()] = v.strip()
# Forward to AO3
result = await fetch_url(
url=ao3_url, method=method,
headers=client_headers, body=req_body, cookies=cookies,
is_api="/api/" in full_path or full_path.startswith("/api/"),
preferred_proxy=preferred_proxy,
)
elapsed = time.time() - start_time
# ── v4: CF Challenge handling ──────────────────────────────────────────
if result.get("is_challenge") and result.get("challenge_body"):
challenge_proxy = result.get("challenge_proxy", "unknown")
challenge_body = result["challenge_body"]
# Generate challenge token for proxy affinity
token = _make_challenge_token()
_store_challenge(token, method, ao3_url, client_headers,
req_body or b"", cookies, challenge_proxy)
# Rewrite challenge page for user's browser
rewritten_challenge = _rewrite_challenge_page(challenge_body, challenge_proxy, token)
logger.warning(
f"CF Challenge detected via {challenge_proxy} for {ao3_url[:80]}. "
f"Sending challenge to user browser (token={token[:8]}...)"
)
collector = get_stats_collector()
collector.log_request(method=method, path=full_path, status=503,
elapsed=elapsed, cached=False,
proxy_host=challenge_proxy, client_ip=client_ip)
# Return challenge page with 503 status + token cookie
resp = HTMLResponse(
content=rewritten_challenge,
status_code=503,
headers={
"X-CF-Challenge": "true",
"X-CF-Challenge-Proxy": challenge_proxy,
"Retry-After": "5",
},
)
resp.set_cookie(
key="_cf_token", value=token,
path="/", max_age=CHALLENGE_TOKEN_TTL,
httponly=False, # JS needs to read it
samesite="lax",
)
resp.delete_cookie("cf_clearance", path="/") # Clear stale clearance
add_cors(resp)
return resp
# ── Standard failure ───────────────────────────────────────────────────
if not result["success"]:
logger.error(f"Failed to fetch {ao3_url[:80]}: {result.get('error', 'unknown')}")
collector = get_stats_collector()
collector.log_request(method=method, path=full_path, status=502,
elapsed=elapsed, cached=False, client_ip=client_ip)
error_html = f"""<!DOCTYPE html>
<html lang="zh-CN">
<head><meta charset="UTF-8"><title>AO3 Mirror - 暂时不可用</title>
<style>
body {{ font-family: sans-serif; text-align: center; padding: 50px; background: #0f0f1a; color: #e0e0e0; }}
h1 {{ color: #990000; }}
.card {{ background: #1a1a2e; border-radius: 10px; padding: 30px; max-width: 500px; margin: 30px auto; border: 1px solid #2a2a40; }}
.btn {{ display: inline-block; padding: 10px 24px; background: #990000; color: white; text-decoration: none; border-radius: 6px; margin-top: 15px; }}
</style></head>
<body>
<div class="card">
<h1>🔄 正在尝试连接 AO3</h1>
<p>镜像站正在尝试通过代理重新连接 AO3 服务器。</p>
<p style="color: #888; font-size: 0.9em;">请稍后刷新页面重试。</p>
<a class="btn" href="/" onclick="location.reload()">刷新页面</a>
</div>
</body>
</html>"""
return HTMLResponse(content=error_html, status_code=502)
# ── Success ────────────────────────────────────────────────────────────
ao3_status = result["status"]
ao3_headers = result.get("headers", {})
raw_body = result.get("body", b"")
content_type = ao3_headers.get("Content-Type", "")
rewritten_body = rewrite_body(raw_body, content_type)
rewritten_headers = rewrite_response_headers(ao3_headers)
final_headers = filter_response_headers(rewritten_headers)
final_headers["X-Cache"] = "MISS"
# Cache successful GET responses
if method == "GET" and 200 <= ao3_status < 400:
ttl = get_ttl_for_path(full_path)
cache.set(ao3_url, rewritten_body, rewritten_headers, ao3_status, ttl=ttl)
# Handle redirects
if 300 <= ao3_status < 400 and "location" in rewritten_headers:
redirect_url = rewritten_headers["location"]
if AO3_BASE in redirect_url:
redirect_url = redirect_url.replace(AO3_BASE, "").replace("http://", "https://")
return RedirectResponse(url=redirect_url, status_code=ao3_status)
collector = get_stats_collector()
collector.log_request(method=method, path=full_path, status=ao3_status,
elapsed=elapsed, cached=False,
proxy_host=result.get("proxy_host"),
client_ip=client_ip)
resp = Response(content=rewritten_body, status_code=ao3_status, headers=final_headers)
# Forward Set-Cookie from AO3 (user session cookies + cf_clearance)
for k, v in ao3_headers.items():
if k.lower() == "set-cookie":
v_rewritten = v.replace("domain=archiveofourown.org",
f"domain={MIRROR_DOMAIN}")
v_rewritten = v_rewritten.replace("domain=.archiveofourown.org",
f"domain=.{MIRROR_DOMAIN}")
resp.headers.add("Set-Cookie", v_rewritten)
add_cors(resp)
return resp
# ─── Startup / Shutdown ────────────────────────────────────────────────────
@app.on_event("startup")
async def startup():
logger.info("AO3 Mirror backend v4 starting up...")
get_proxy_pool()
get_cache()
get_stats_collector()
logger.info("AO3 Mirror backend v4 started (cookie-aware + CF challenge solving)")
@app.on_event("shutdown")
async def shutdown():
logger.info("AO3 Mirror backend shutting down...")
pool = get_proxy_pool()
await pool.close_all()
logger.info("AO3 Mirror backend stopped")
# ─── Entry point ───────────────────────────────────────────────────────────
if __name__ == "__main__":
port = int(os.environ.get("PORT", "8080"))
workers = int(os.environ.get("WORKERS", "4"))
logger.info(f"Starting AO3 Mirror v4 on port {port} with {workers} workers")
uvicorn.run(
"app:app",
host="127.0.0.1",
port=port,
workers=workers,
log_level="info",
timeout_keep_alive=30,
)

123
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"""
简单高效的缓存层
- 内存 LRU 缓存,每个 worker 独立
- 短 TTL 避免内容过时
- 针对不同路径设置不同 TTL
"""
import hashlib
import threading
import time
from collections import OrderedDict
from typing import Optional
class LRUCache:
"""Thread-safe LRU cache with TTL support."""
def __init__(self, capacity: int = 2000, default_ttl: int = 30):
self.capacity = capacity
self.default_ttl = default_ttl
self._cache: OrderedDict[str, tuple[float, bytes, dict, int]] = OrderedDict()
# (expiry_time, body, headers, status)
self._lock = threading.RLock()
def _make_key(self, url: str, headers: Optional[dict] = None) -> str:
"""Generate cache key from URL and key headers."""
# Use URL + relevant headers
accept = ""
if headers:
accept = headers.get("Accept-Encoding", "")
raw = f"{url}|{accept}"
return hashlib.md5(raw.encode()).hexdigest()
def get(self, url: str, headers: Optional[dict] = None) -> Optional[tuple[bytes, dict, int]]:
"""Get cached response. Returns (body, headers, status) or None."""
key = self._make_key(url, headers)
with self._lock:
if key not in self._cache:
return None
expiry, body, resp_headers, status = self._cache[key]
if time.time() > expiry:
del self._cache[key]
return None
# Move to end (most recently used)
self._cache.move_to_end(key)
return (body, resp_headers, status)
def set(self, url: str, body: bytes, headers: dict, status: int,
ttl: Optional[int] = None, request_headers: Optional[dict] = None):
"""Store response in cache."""
key = self._make_key(url, request_headers)
t = ttl if ttl is not None else self.default_ttl
expiry = time.time() + t
with self._lock:
self._cache[key] = (expiry, body, headers, status)
self._cache.move_to_end(key)
if len(self._cache) > self.capacity:
self._cache.popitem(last=False)
def invalidate(self, url: str, headers: Optional[dict] = None):
"""Remove a specific URL from cache."""
key = self._make_key(url, headers)
with self._lock:
self._cache.pop(key, None)
def clear(self):
with self._lock:
self._cache.clear()
@property
def size(self) -> int:
with self._lock:
return len(self._cache)
def get_stats(self) -> dict:
with self._lock:
return {
"size": len(self._cache),
"capacity": self.capacity,
"usage_pct": round(len(self._cache) / self.capacity * 100, 1) if self.capacity else 0,
}
# TTL 策略:不同路径不同缓存时间
PATH_TTL = {
"/": 30, # 首页 30s
"/works": 60, # 作品列表 60s
"/chapters": 120, # 章节内容 120s
"/series": 60, # 系列 60s
"/collections": 60,
"/tags": 60,
"/users": 30,
"/pseuds": 30,
"/bookmarks": 60,
"/skins": 300, # CSS 皮肤缓存 5 分钟
"/stylesheets": 300,
"/images": 600, # 图片缓存 10 分钟
"/media": 600,
"/javascripts": 300,
"/api": 15, # API 响应 15s
"/external_links": 30,
# Default: 30s
}
def get_ttl_for_path(path: str) -> int:
"""Determine cache TTL based on URL path."""
for prefix, ttl in PATH_TTL.items():
if path.startswith(prefix):
return ttl
return 30 # default
# 全局缓存实例
_cache: Optional[LRUCache] = None
def get_cache() -> LRUCache:
global _cache
if _cache is None:
_cache = LRUCache(capacity=5000, default_ttl=30)
return _cache

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"""
异步代理池 v4 — Cookie 感知 + 挑战分离 + 真实统计
v4 vs v3:
- 每个代理维护 cookie jarcf_clearance 等),成功请求后自动保存
- CF 挑战不再标记为代理死亡mark_challenged ≠ mark_failure
- 真实统计:维护原子计数器,不造假数据
- 更多 TLS 指纹:加入 safari15_5/safari17_0
"""
import asyncio
import logging
import os
import random
import time
from email.utils import parsedate_to_datetime
from threading import Lock
from typing import Optional
from curl_cffi.requests import AsyncSession
logger = logging.getLogger("ao3-proxy-pool")
OPTIMAL_MIN_PORT = 13500
OPTIMAL_MAX_PORT = 14499
WORKING_PROXIES_FILE = "/dev/shm/working_proxies.txt"
FAST_POOL_SIZE = 50
# 被动检查:只对快池做轻量采样
SAMPLE_INTERVAL = 60
SAMPLE_BATCH_SIZE = 10
SAMPLE_TIMEOUT = 5
FAST_POOL_REFRESH_INTERVAL = 10
# TLS fingerprints — proven against AO3 Cloudflare
# safari15_5/17_0 have highest CF bypass rate per testing
BROWSER_IMPS = ["safari15_5", "safari17_0", "chrome123", "chrome124"]
WARM_THRESHOLD_S = 3.0
def _parse_cookie_expires(set_cookie: str) -> float:
"""Extract expiry timestamp from Set-Cookie header. Returns 0 if session cookie."""
for part in set_cookie.split(";"):
part = part.strip()
if part.lower().startswith("expires="):
try:
dt = parsedate_to_datetime(part[8:])
if dt:
return dt.timestamp()
except Exception:
pass
elif part.lower().startswith("max-age="):
try:
return time.time() + int(part[9:])
except Exception:
pass
return 0 # session cookie
def load_proxies_from_file() -> list[str]:
"""Load proxy list from known-working file, or full list with port filtering."""
if os.path.exists(WORKING_PROXIES_FILE) and os.path.getsize(WORKING_PROXIES_FILE) > 0:
with open(WORKING_PROXIES_FILE) as f:
proxies = [l.strip() for l in f if l.strip() and ":" in l]
if proxies:
logger.info(f"Loaded {len(proxies)} working proxies from {WORKING_PROXIES_FILE}")
filtered = [p for p in proxies if ":" in p and OPTIMAL_MIN_PORT <= int(p.split(":")[-1]) <= OPTIMAL_MAX_PORT]
if len(filtered) >= 10:
return filtered
return proxies
proxy_file = "/home/ubuntu/proxy.txt"
proxies = []
with open(proxy_file) as f:
for line in f:
line = line.strip()
if not line or ":" not in line:
continue
if "|" in line:
line = line.split("|")[-1].strip()
proxies.append(line)
filtered = [p for p in proxies if ":" in p and OPTIMAL_MIN_PORT <= int(p.split(":")[-1]) <= OPTIMAL_MAX_PORT]
return filtered if len(filtered) >= 10 else proxies
class ProxySession:
"""A single proxy with its own AsyncSession, cookie jar, and health state."""
__slots__ = (
"host_port", "host", "port_str", "port",
"session", "impersonate", "alive",
"consecutive_failures", "ban_until", "last_used",
"avg_response_time", "weight", "requests_handled",
"last_sample", "sample_passed",
# v4: cookie jar
"_cookies", "_cookie_expires", "_lock",
)
def __init__(self, host_port: str):
self.host_port = host_port
self.host, self.port_str = host_port.split(":")
self.port = int(self.port_str)
self.session: Optional[AsyncSession] = None
self.impersonate = random.choice(BROWSER_IMPS)
self.alive = True
self.consecutive_failures = 0
self.ban_until = 0.0
self.last_used = 0.0
self.avg_response_time = 1.0
self.weight = 1.0
self.requests_handled = 0
self.last_sample = 0.0
self.sample_passed = True
# v4: per-proxy cookie jar (cf_clearance, etc.)
self._cookies: dict[str, str] = {}
self._cookie_expires: dict[str, float] = {}
self._lock = Lock()
# ─── Cookie management ────────────────────────────────────────────
def save_cookies(self, headers: dict) -> int:
"""Extract Set-Cookie from response headers. Returns count saved."""
saved = 0
set_cookie = headers.get("Set-Cookie", "")
if not set_cookie:
# Some servers use set-cookie (lowercase) in HTTP/2
set_cookie = headers.get("set-cookie", "")
if not set_cookie:
return 0
now = time.time()
with self._lock:
for part in set_cookie.split(","):
# Handle comma-separated cookies (ugh)
part = part.strip()
if "=" not in part:
continue
name, _, rest = part.partition("=")
value = rest.split(";")[0].strip() if ";" in rest else rest.strip()
name = name.strip()
if not name:
continue
self._cookies[name] = value
expires = _parse_cookie_expires(part)
if expires > 0:
self._cookie_expires[name] = expires
saved += 1
# Purge expired cookies
self._purge_expired(now)
if saved:
logger.debug(f"Saved {saved} cookies for {self.host_port} (keys: {list(self._cookies.keys())})")
return saved
def get_cookie_header(self) -> str:
"""Get Cookie header string for this proxy. Returns '' if no cookies."""
now = time.time()
with self._lock:
self._purge_expired(now)
if not self._cookies:
return ""
return "; ".join(f"{k}={v}" for k, v in self._cookies.items())
def _purge_expired(self, now: float):
"""Remove expired cookies."""
expired = [k for k, exp in self._cookie_expires.items() if 0 < exp < now]
for k in expired:
self._cookies.pop(k, None)
self._cookie_expires.pop(k, None)
# ─── Session management ───────────────────────────────────────────
async def get_session(self) -> AsyncSession:
if self.session is None:
self.session = AsyncSession()
self.session.impersonate = self.impersonate
self.session.timeout = 15
self.session.proxies = {
"http": f"http://{self.host_port}",
"https": f"http://{self.host_port}",
}
# Default headers that don't change per-request (safe to set on session)
self.session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
"(KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9",
"Accept-Encoding": "gzip, deflate, br",
})
return self.session
async def close(self):
if self.session:
try:
await self.session.close()
except Exception:
pass
self.session = None
# ─── Health tracking ──────────────────────────────────────────────
def update_weight(self):
self.weight = 1.0 / max(self.avg_response_time, 0.1)
def mark_success(self, response_time: float):
self.alive = True
self.consecutive_failures = 0
self.ban_until = 0.0
self.requests_handled += 1
self.avg_response_time = self.avg_response_time * 0.7 + response_time * 0.3
self.update_weight()
def mark_failure(self):
"""Proxy-level failure (connection error, timeout, etc.) — exponential backoff."""
self.requests_handled += 1
self.consecutive_failures += 1
backoff = min(5 * (3 ** (self.consecutive_failures - 1)), 300)
self.ban_until = time.time() + backoff
if self.consecutive_failures >= 3:
self.alive = False
self.sample_passed = False
def mark_challenged(self):
"""CF challenge detected — proxy is alive but needs cookie. NO backoff."""
# Don't increment consecutive_failures — challenge is not proxy's fault
# Don't set ban_until — proxy may work with cookies
self.requests_handled += 1
# Only mark as not-sample-passed so it won't be fast-pool priority
self.sample_passed = False
def mark_sample(self, passed: bool, response_time: float = 0):
"""Lightweight periodic check result."""
self.last_sample = time.time()
self.sample_passed = passed
if passed and not self.alive:
self.alive = True
self.consecutive_failures = max(0, self.consecutive_failures - 1)
self.avg_response_time = self.avg_response_time * 0.5 + response_time * 0.5
self.update_weight()
@property
def is_available(self) -> bool:
return self.alive and time.time() > self.ban_until
def __repr__(self):
nc = len(self._cookies)
return f"PS({self.host_port}, alive={self.alive}, {self.avg_response_time:.1f}s, cookies={nc})"
class AsyncProxyPool:
"""Tiered async proxy pool with cookie-aware session management."""
def __init__(self):
self._proxies: list[ProxySession] = []
self._fast_pool: list[ProxySession] = []
self._fast_pool_updated = 0.0
self._sample_task: Optional[asyncio.Task] = None
# v4: atomic counters for real stats (no more fake data)
self._stats_lock = Lock()
self._stats = {"alive": 0, "dead": 0, "banned": 0, "challenged": 0}
self._stats_cache = {}
self._stats_cache_ts = 0.0
self._load_proxies()
self._start_sampling()
def _load_proxies(self):
proxies = load_proxies_from_file()
self._proxies = [ProxySession(hp) for hp in proxies]
self._refresh_fast_pool()
self._recompute_stats()
logger.info(f"ProxyPool v4 ready: {len(self._proxies)} proxies, fast={len(self._fast_pool)}")
def _start_sampling(self):
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
if self._sample_task is None or self._sample_task.done():
self._sample_task = asyncio.create_task(self._sampling_loop())
def _refresh_fast_pool(self):
"""Select fastest N proxies, seeded immediately from all alive."""
alive = [p for p in self._proxies if p.is_available]
sampled = [p for p in alive if p.sample_passed]
unsampled = [p for p in alive if not p.sample_passed]
sampled.sort(key=lambda p: p.avg_response_time)
unsampled.sort(key=lambda p: p.avg_response_time)
combined = sampled + unsampled
self._fast_pool = combined[:FAST_POOL_SIZE]
self._fast_pool_updated = time.time()
def _recompute_stats(self):
"""Accurate stats — iterate all proxies (fast, ~726 items)."""
alive = 0
dead = 0
banned = 0
for p in self._proxies:
if p.alive:
alive += 1
if not p.is_available:
banned += 1
else:
dead += 1
with self._stats_lock:
self._stats = {"alive": alive, "dead": dead, "banned": banned}
# ─── Proxy selection ──────────────────────────────────────────────
def get_fast_proxy(self) -> Optional[ProxySession]:
"""Fast proxy for interactive requests (login/register/POST)."""
now = time.time()
if now - self._fast_pool_updated > FAST_POOL_REFRESH_INTERVAL:
self._refresh_fast_pool()
if not self._fast_pool:
return self.get_proxy()
total = sum(p.weight for p in self._fast_pool)
if total <= 0:
return random.choice(self._fast_pool)
r = random.uniform(0, total)
cum = 0
for p in self._fast_pool:
cum += p.weight
if r <= cum:
return p
return random.choice(self._fast_pool)
def get_proxy(self) -> Optional[ProxySession]:
"""Weighted random from all available proxies."""
available = [p for p in self._proxies if p.is_available]
if not available:
# Fallback: use proxies with fewer than 10 failures
available = [p for p in self._proxies if p.consecutive_failures < 10]
if not available:
return None
total = sum(p.weight for p in available)
if total <= 0:
return random.choice(available)
r = random.uniform(0, total)
cum = 0
for p in available:
cum += p.weight
if r <= cum:
return p
return random.choice(available)
def get_proxy_with_cookies(self) -> Optional[ProxySession]:
"""Get a proxy that has cookies saved (cf_clearance). Fallback to any available."""
available = [p for p in self._proxies if p.is_available]
with_cookies = [p for p in available if p._cookies]
if with_cookies:
total = sum(p.weight for p in with_cookies)
if total > 0:
r = random.uniform(0, total)
cum = 0
for p in with_cookies:
cum += p.weight
if r <= cum:
return p
return random.choice(with_cookies)
return self.get_proxy()
# ─── Sampling loop ────────────────────────────────────────────────
async def _sampling_loop(self):
"""Lightweight sampling — only test fast-pool proxies."""
logger.info("Sampling loop started (lightweight, fast-pool only)")
while True:
try:
await asyncio.sleep(SAMPLE_INTERVAL)
pool = self._fast_pool[:] if self._fast_pool else self._proxies[:50]
if not pool:
continue
alive_cnt = 0
dead_cnt = 0
for i in range(0, len(pool), SAMPLE_BATCH_SIZE):
batch = pool[i:i + SAMPLE_BATCH_SIZE]
checks = [self._check_single(p) for p in batch]
results = await asyncio.gather(*checks, return_exceptions=True)
for p, r in zip(batch, results):
if isinstance(r, Exception):
p.mark_sample(False)
dead_cnt += 1
elif r[0]:
p.mark_sample(True, r[1])
alive_cnt += 1
else:
p.mark_sample(False)
dead_cnt += 1
self._refresh_fast_pool()
self._recompute_stats()
total_avg = sum(p.avg_response_time for p in pool if p.requests_handled > 0) / max(alive_cnt, 1)
logger.debug(f"Sample: {alive_cnt} alive, {dead_cnt} dead, fast={len(self._fast_pool)}, avg={total_avg*1000:.0f}ms")
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Sample error: {e}")
async def _check_single(self, proxy: ProxySession) -> tuple[bool, float]:
"""Quick single-proxy check against AO3."""
start = time.time()
try:
s = await proxy.get_session()
resp = await s.head("https://archiveofourown.org/", timeout=SAMPLE_TIMEOUT)
return (200 <= resp.status_code < 500, time.time() - start)
except Exception:
return (False, time.time() - start)
# ─── Lifecycle ────────────────────────────────────────────────────
async def close_all(self):
if self._sample_task and not self._sample_task.done():
self._sample_task.cancel()
try:
await self._sample_task
except asyncio.CancelledError:
pass
for p in self._proxies:
await p.close()
logger.info("All sessions closed")
# ─── Stats ────────────────────────────────────────────────────────
def get_stats(self) -> dict:
"""Accurate stats with caching (1s throttle to avoid iteration on every call)."""
now = time.time()
if self._stats_cache and now - self._stats_cache_ts < 1.0:
return self._stats_cache
self._recompute_stats()
total = len(self._proxies)
# Compute avg response from sampled proxies
sampled = [p.avg_response_time for p in self._proxies if p.requests_handled > 0]
avg_speed = sum(sampled) / max(len(sampled), 1)
# Count proxies with cookies
with_cookies = sum(1 for p in self._proxies if p._cookies)
result = {
"total": total,
"alive": self._stats["alive"],
"dead": self._stats["dead"],
"banned": self._stats["banned"],
"available": self._stats["alive"] - self._stats["banned"],
"warm": sum(1 for p in self._fast_pool if p.sample_passed),
"fast_pool": len(self._fast_pool),
"with_cookies": with_cookies,
"total_requests_handled": sum(p.requests_handled for p in self._proxies),
"avg_response_time_s": round(avg_speed, 3),
}
self._stats_cache = result
self._stats_cache_ts = now
return result
# ─── Singleton ────────────────────────────────────────────────────────────────
_pool: Optional[AsyncProxyPool] = None
def get_proxy_pool() -> AsyncProxyPool:
global _pool
if _pool is None:
_pool = AsyncProxyPool()
return _pool

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scripts/daemon.py Normal file
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#!/usr/bin/env python3
"""
AO3 Mirror - 被动守护进程 (Daemon v2)
不再主动 e2e 检查或重启 healthy worker。
职责:
1. 每 30s 检查 worker 是否活着,只有连续 3 轮都挂掉才重启
2. 不做 e2e不做 caddy 检查(让 systemd 管)
3. 每 5min 写状态文件
"""
import json
import os
import subprocess
import sys
import time
import logging
import signal
BASE_DIR = "/home/ubuntu/ao3-mirror"
SHM_DIR = "/dev/shm/ao3"
WORKER_PORTS = [8081, 8082]
CHECK_INTERVAL = 30
STATUS_FILE = f"{SHM_DIR}/status.json"
os.makedirs(SHM_DIR, exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [DAEMON] %(message)s",
handlers=[logging.StreamHandler()],
)
logger = logging.getLogger("ao3-daemon")
state = {
"started_at": time.time(),
"consecutive_dead": {p: 0 for p in WORKER_PORTS},
"restarts_today": 0,
"alerts": [],
}
def _http_get(url: str, timeout: int = 5) -> tuple[bool, str]:
import urllib.request
try:
req = urllib.request.Request(url)
resp = urllib.request.urlopen(req, timeout=timeout)
return (resp.status == 200, resp.read().decode("utf-8", errors="replace")[:200])
except Exception as e:
return (False, str(e)[:200])
def check_worker(port: int) -> bool:
ok, body = _http_get(f"http://127.0.0.1:{port}/health", timeout=4)
if ok:
try:
return json.loads(body).get("status") == "ok"
except Exception:
pass
return False
def restart_worker(port: int):
logger.warning(f"Restarting worker on port {port}")
state["restarts_today"] += 1
subprocess.run(["fuser", "-k", f"{port}/tcp"], capture_output=True, timeout=10)
time.sleep(1)
python_bin = "/home/ubuntu/.hermes/hermes-agent/venv/bin/python3"
i = WORKER_PORTS.index(port)
log_file = f"{BASE_DIR}/worker-{i}.log"
proc = subprocess.Popen(
["taskset", "-c", str(i), python_bin, "-m", "uvicorn", "app:app",
"--host", "127.0.0.1", "--port", str(port), "--workers", "1",
"--loop", "uvloop", "--http", "httptools",
"--log-level", "warning", "--timeout-keep-alive", "30"],
cwd=BASE_DIR, stdout=open(log_file, "a"), stderr=open(log_file, "a"),
)
pid_file = f"{SHM_DIR}/worker-{i}.pid"
with open(pid_file, "w") as f:
f.write(str(proc.pid))
logger.info(f"Worker {port} restarted (PID: {proc.pid})")
def check_workers():
"""Only restart if worker has been dead for 3 consecutive checks (90s)."""
for port in WORKER_PORTS:
if check_worker(port):
state["consecutive_dead"][port] = 0
else:
state["consecutive_dead"][port] += 1
if state["consecutive_dead"][port] >= 3:
restart_worker(port)
state["consecutive_dead"][port] = 0
dead_count = sum(1 for p in WORKER_PORTS if state["consecutive_dead"][p] > 0)
alive = len(WORKER_PORTS) - dead_count
if dead_count > 0:
logger.info(f"{alive}/{len(WORKER_PORTS)} workers alive ({dead_count} degraded)")
def save_status():
worker_status = {}
for i, port in enumerate(WORKER_PORTS):
worker_status[f"worker_{i}"] = {
"port": port, "healthy": check_worker(port), "uptime_s": int(time.time() - state["started_at"]),
}
data = {
"timestamp": time.time(), "uptime": int(time.time() - state["started_at"]),
"workers": worker_status, "restarts_today": state["restarts_today"],
}
with open(STATUS_FILE + ".tmp", "w") as f:
json.dump(data, f)
os.rename(STATUS_FILE + ".tmp", STATUS_FILE)
def handle_signal(signum, frame):
logger.info(f"Signal {signum}, exiting")
sys.exit(0)
def main():
signal.signal(signal.SIGTERM, handle_signal)
signal.signal(signal.SIGINT, handle_signal)
logger.info("Daemon v2 started (passive mode)")
logger.info(f"Watching {WORKER_PORTS}, check every {CHECK_INTERVAL}s, restart after 3 missed checks")
# Initial startup: start all workers immediately
for port in WORKER_PORTS:
if not check_worker(port):
restart_worker(port)
time.sleep(2)
state["consecutive_dead"][port] = 0
time.sleep(5) # Let them settle
last_status = 0
while True:
try:
check_workers()
now = time.time()
if now - last_status >= 300:
save_status()
last_status = now
except Exception as e:
logger.error(f"Loop error: {e}")
time.sleep(CHECK_INTERVAL)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""Restart both AO3 workers manually."""
import subprocess, time, os
BASE_DIR = "/home/ubuntu/ao3-mirror"
SHM_DIR = "/dev/shm/ao3"
VENV = "/home/ubuntu/.hermes/hermes-agent/venv/bin/python3"
os.makedirs(SHM_DIR, exist_ok=True)
for i, port in [(0, 8081), (1, 8082)]:
log = f"{BASE_DIR}/worker-{i}.log"
proc = subprocess.Popen(
["taskset", "-c", str(i), VENV, "-m", "uvicorn", "app:app",
"--host", "127.0.0.1", "--port", str(port), "--workers", "1",
"--loop", "uvloop", "--http", "httptools",
"--log-level", "warning", "--timeout-keep-alive", "30"],
cwd=BASE_DIR, stdout=open(log, "a"), stderr=open(log, "a"),
)
pid_file = f"{SHM_DIR}/worker-{i}.pid"
with open(pid_file, "w") as f:
f.write(str(proc.pid))
print(f"Worker {i} port {port} started PID={proc.pid}")
time.sleep(2)
print("Both workers started")

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#!/usr/bin/env python3
"""
Optimized proxy scanner — uses port-filtered Webshare proxies for 72.6% success rate.
Key findings from v2 diagnostic scan (5000 proxies tested):
- Optimal port range: 13500-14499 → 72.6% success rate
- Best fingerprints: chrome123, chrome124, safari17_0 (equivalent)
- 99.7% of failures = CF_BLOCK_403 (IP reputation, not TLS fingerprint)
- Fingerprint rotation does NOT improve rate
- chrome120 = 7.5%, edge120 = 0% (DO NOT USE)
"""
import concurrent.futures
import os
import sys
import time
from curl_cffi import requests as curl_requests
TEST_URL = "https://archiveofourown.org/robots.txt"
TIMEOUT = 12
MAX_WORKERS = 50
PROXY_FILE = "/home/ubuntu/proxy.txt"
OUTPUT_FILE = "/dev/shm/working_proxies.txt"
# Optimal port range for Webshare proxies (verified by full scan)
# Ports 13500-13999: 74.4% | Ports 14000-14499: 70.8%
# Ports 10000-13499: ~32% | Ports 14500-14999: ~52%
OPTIMAL_MIN_PORT = 13500
OPTIMAL_MAX_PORT = 14499
# Use only proven fingerprints
BROWSER_FINGERPRINTS = ["chrome123", "chrome124"]
def test_proxy(host_port: str) -> tuple:
"""Test proxy with fallback through fingerprints."""
start = time.time()
for imp in BROWSER_FINGERPRINTS:
try:
session = curl_requests.Session()
session.impersonate = imp
session.timeout = TIMEOUT
session.proxies = {
"http": f"http://{host_port}",
"https": f"http://{host_port}",
}
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9,zh-CN;q=0.8",
})
resp = session.get(TEST_URL)
elapsed = time.time() - start
session.close()
if resp.status_code == 200:
return (host_port, True, round(elapsed, 2), f"OK({imp})")
elif resp.status_code in (403, 503) and imp != BROWSER_FINGERPRINTS[-1]:
continue # Try next fingerprint
else:
return (host_port, False, round(elapsed, 2), f"CF_BLOCK({resp.status_code})")
except Exception as e:
if imp != BROWSER_FINGERPRINTS[-1]:
continue
return (host_port, False, round(time.time() - start, 2), str(e)[:60])
return (host_port, False, round(time.time() - start, 2), "ALL_FAILED")
def main():
print(f"[Port-Optimized Scanner] Loading proxies from {PROXY_FILE}")
proxies = []
with open(PROXY_FILE) as f:
for line in f:
line = line.strip()
if not line or ":" not in line:
continue
if "|" in line:
line = line.split("|")[-1].strip()
proxies.append(line)
# Filter to optimal port range
before = len(proxies)
proxies = [p for p in proxies if ":" in p and OPTIMAL_MIN_PORT <= int(p.split(":")[-1]) <= OPTIMAL_MAX_PORT]
print(f"Loaded {before} proxies, filtered to ports {OPTIMAL_MIN_PORT}-{OPTIMAL_MAX_PORT}: {len(proxies)}")
print(f"Starting scan with {MAX_WORKERS} workers (timeout={TIMEOUT}s)...")
working = []
checked = 0
start_time = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
futures = {executor.submit(test_proxy, p): p for p in proxies}
for future in concurrent.futures.as_completed(futures):
host_port, is_ok, elapsed, note = future.result()
checked += 1
if is_ok:
working.append((host_port, elapsed))
working.sort(key=lambda x: x[1])
if checked % 100 == 0 or is_ok:
elapsed_total = time.time() - start_time
rate = checked / elapsed_total if elapsed_total > 0 else 0
eta = (len(proxies) - checked) / rate if rate > 0 else 0
status = "" if is_ok else ""
print(f" [{checked}/{len(proxies)}] {status} {host_port} ({elapsed:.1f}s) {note} | "
f"Working: {len(working)} ({len(working)/checked*100:.1f}%) | "
f"{elapsed_total:.0f}s | ETA: {eta:.0f}s")
with open(OUTPUT_FILE, "w") as f:
for host_port, elapsed in working:
f.write(f"{host_port}\n")
elapsed_total = time.time() - start_time
rate = len(working) / checked * 100 if checked else 0
print(f"\n[Scan complete] {len(working)}/{checked} = {rate:.1f}% working (target: 70%+)")
print(f" Baseline (unfiltered): 44.8%")
print(f" Improvement: +{rate - 44.8:.1f} percentage points")
print(f" Target met: {'YES ✅' if rate >= 70 else 'NO ❌'}")
print(f" Time: {elapsed_total:.0f}s")
print(f" Saved to: {OUTPUT_FILE}")
if working:
print(f"\n Top 10 fastest:")
for hp, el in working[:10]:
print(f" {hp} ({el:.2f}s)")
if __name__ == "__main__":
main()

76
start.sh Executable file
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#!/bin/bash
# AO3 Mirror - 启动脚本
# 启动 4 个 uvicorn worker 进程 + Caddy 负载均衡
set -e
BASE_DIR="/home/ubuntu/ao3-mirror"
LOGS_DIR="$BASE_DIR"
PID_DIR="/dev/shm/ao3"
WORKER_COUNT=2
START_PORT=8081
mkdir -p "$PID_DIR"
# Kill any existing workers
echo "[Startup] Killing existing workers..."
for pid_file in "$PID_DIR"/worker-*.pid; do
[ -f "$pid_file" ] && kill "$(cat "$pid_file")" 2>/dev/null || true
done
sleep 1
# Also kill by port
for port in $(seq $START_PORT $((START_PORT + WORKER_COUNT - 1))); do
fuser -k "${port}/tcp" 2>/dev/null || true
done
# Start backend workers
echo "[Startup] Starting $WORKER_COUNT backend workers..."
for i in $(seq 0 $((WORKER_COUNT - 1))); do
port=$((START_PORT + i))
log_file="$LOGS_DIR/worker-$i.log"
pid_file="$PID_DIR/worker-$i.pid"
cd "$BASE_DIR"
# Pin worker i to CPU i (2-core machine: CPU 0, CPU 1)
taskset -c $i python3 -m uvicorn app:app \
--host 127.0.0.1 \
--port "$port" \
--workers 1 \
--loop uvloop \
--http httptools \
--log-level warning \
--timeout-keep-alive 30 \
>> "$log_file" 2>&1 &
echo $! > "$pid_file"
echo "[Startup] Worker $i started on port $port (PID: $!)"
done
# Wait for workers to be ready
echo "[Startup] Waiting for workers to become healthy..."
for i in $(seq 0 $((WORKER_COUNT - 1))); do
port=$((START_PORT + i))
for attempt in $(seq 1 15); do
if curl -sf "http://127.0.0.1:$port/health" > /dev/null 2>&1; then
echo "[Startup] Worker $i (port $port) is healthy"
break
fi
sleep 1
done
done
# Configure Caddy
echo "[Startup] Applying Caddyfile..."
sudo caddy fmt "$BASE_DIR/Caddyfile" --overwrite 2>/dev/null || true
sudo cp "$BASE_DIR/Caddyfile" /etc/caddy/Caddyfile
sudo systemctl reload caddy 2>/dev/null || sudo systemctl restart caddy
echo "[Startup] Caddy reloaded"
echo "[Startup] AO3 Mirror is running!"
echo " Workers: 2 (ports 8081-8082, pinned to CPUs 0-1)"
echo " Caddy: port 443 (agento3.miscs.dev)"
echo " Stats: https://agento3.miscs.dev/stats"
echo " Health: https://agento3.miscs.dev/health"
echo " Logs: $LOGS_DIR/worker-*.log"

202
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"""
统计系统 v2 — 异步友好,批量写入
- 热路径:内存计数器(不阻塞事件循环)
- 冷路径:每 60s 批量 flush 到 SQLite
- 读路径:从内存 + SQLite 聚合
"""
import json
import os
import sqlite3
import threading
import time
from collections import defaultdict
from typing import Optional
STATS_DB_PATH = "/dev/shm/ao3_stats.db"
class StatsCollector:
"""高性能统计收集器 — 内存热路径 + SQLite 冷存储"""
def __init__(self):
# In-memory hot counters (fast path, no locking needed for single-threaded async workers)
self._total = 0
self._successful = 0
self._failed = 0
self._cached = 0
self._total_elapsed = 0.0
self._recent_1m = [[0.0, 0, 0, 0.0] for _ in range(60)] # 60 one-second buckets
self._recent_5m = [[0.0, 0, 0, 0.0] for _ in range(300)] # 300 one-second buckets
self._path_stats = defaultdict(lambda: [0, 0, 0.0]) # path -> [total, success, elapsed]
self._last_flush = time.time()
self._init_db()
def _init_db(self):
"""Initialize database tables (read-only fast path if not exists)."""
conn = sqlite3.connect(STATS_DB_PATH, timeout=5)
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("PRAGMA synchronous=OFF") # Speed up writes
conn.execute("PRAGMA busy_timeout=3000")
conn.executescript("""
CREATE TABLE IF NOT EXISTS hourly_agg (
hour INTEGER NOT NULL,
total_requests INTEGER DEFAULT 0,
successful INTEGER DEFAULT 0,
failed INTEGER DEFAULT 0,
cached_hits INTEGER DEFAULT 0,
avg_elapsed REAL DEFAULT 0,
total_elapsed REAL DEFAULT 0,
PRIMARY KEY (hour)
);
CREATE TABLE IF NOT EXISTS path_stats_persisted (
path TEXT NOT NULL,
total_requests INTEGER DEFAULT 0,
successful INTEGER DEFAULT 0,
total_elapsed REAL DEFAULT 0,
PRIMARY KEY (path)
);
""")
conn.commit()
conn.close()
def log_request(self, method: str, path: str, status: int,
elapsed: float, cached: bool = False,
proxy_host: Optional[str] = None,
client_ip: Optional[str] = None):
"""Fast-path: update in-memory counters only. Never blocks."""
now = time.time()
is_success = 200 <= status < 500
is_fail = status >= 500 or status == 0
self._total += 1
self._total_elapsed += elapsed
if is_success:
self._successful += 1
if is_fail:
self._failed += 1
if cached:
self._cached += 1
# Recent 1m and 5m — bucket by second
sec = int(now) % 60
sec5 = int(now) % 300
self._recent_1m[sec][0] = now
self._recent_1m[sec][1] += 1
self._recent_1m[sec][2] += 1 if is_success else 0
self._recent_1m[sec][3] += elapsed
self._recent_5m[sec5][0] = now
self._recent_5m[sec5][1] += 1
self._recent_5m[sec5][2] += 1 if is_success else 0
self._recent_5m[sec5][3] += elapsed
# Path stats (top-level path only)
base_path = "/" + path.strip("/").split("/")[0] if path.strip("/") else "/"
stats = self._path_stats[base_path]
stats[0] += 1
stats[1] += 1 if is_success else 0
stats[2] += elapsed
# Flush to SQLite every 60s (non-blocking background)
if now - self._last_flush > 60:
self._flush_to_db()
self._last_flush = now
def _flush_to_db(self):
"""Batch flush aggregated stats to SQLite."""
try:
hour = int(time.time() / 3600)
total = self._total
successful = self._successful
failed = self._failed
cached = self._cached
total_elapsed = self._total_elapsed
paths = dict(self._path_stats)
# Don't clear counters — they accumulate across flushes
conn = sqlite3.connect(STATS_DB_PATH, timeout=3)
with conn:
conn.execute("PRAGMA synchronous=OFF")
conn.execute(
"""INSERT INTO hourly_agg (hour, total_requests, successful, failed,
cached_hits, avg_elapsed, total_elapsed)
VALUES (?, ?, ?, ?, ?, 0, ?)
ON CONFLICT(hour) DO UPDATE SET
total_requests = MAX(total_requests, ?),
successful = MAX(successful, ?),
failed = MAX(failed, ?),
cached_hits = MAX(cached_hits, ?),
total_elapsed = MAX(total_elapsed, ?),
avg_elapsed = total_elapsed / CAST(total_requests AS REAL)""",
(hour, total, successful, failed, cached, total_elapsed,
total, successful, failed, cached, total_elapsed),
)
for path, (req, succ, elap) in paths.items():
conn.execute(
"""INSERT INTO path_stats_persisted (path, total_requests, successful, total_elapsed)
VALUES (?, ?, ?, ?)
ON CONFLICT(path) DO UPDATE SET
total_requests = ?, successful = ?, total_elapsed = ?""",
(path, req, succ, elap, req, succ, elap),
)
except Exception:
pass # Flush failures are non-critical
def get_overview(self) -> dict:
"""Get overview from in-memory counters."""
now = time.time()
total = self._total
successful = self._successful
failed = self._failed
cached = self._cached
avg_elapsed = self._total_elapsed / max(total, 1)
# Recent counts from bucket windows
recent_1m = 0
for ts, cnt, _, _ in self._recent_1m:
if now - ts < 60:
recent_1m += cnt
recent_5m = 0
for ts, cnt, _, _ in self._recent_5m:
if now - ts < 300:
recent_5m += cnt
# Top paths
sorted_paths = sorted(self._path_stats.items(), key=lambda x: x[1][0], reverse=True)[:10]
top_paths = [
{"path": p, "requests": s[0], "successful": s[1],
"avg_elapsed": round(s[2] / max(s[0], 1), 3)}
for p, s in sorted_paths
]
success_rate = round(successful / max(total, 1) * 100, 1)
cache_rate = round(cached / max(total, 1) * 100, 1)
return {
"total_requests": total,
"recent_1m": recent_1m,
"recent_5m": recent_5m,
"successful": successful,
"failed": failed,
"success_rate": success_rate,
"cached": cached,
"cache_rate": cache_rate,
"avg_elapsed_ms": round(avg_elapsed * 1000, 1),
"p99_elapsed_ms": round(avg_elapsed * 1000 * 3, 1), # Approximate p99
"top_paths": top_paths,
"hourly": [],
"uptime_seconds": 0,
"uptime_human": "N/A",
}
# Singleton
_collector: Optional[StatsCollector] = None
def get_stats_collector() -> StatsCollector:
global _collector
if _collector is None:
_collector = StatsCollector()
return _collector

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stop.sh Executable file
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#!/bin/bash
# AO3 Mirror - 停止脚本
PID_DIR="/dev/shm/ao3"
echo "[Shutdown] Stopping AO3 Mirror workers..."
# Kill all workers
for pid_file in "$PID_DIR"/worker-*.pid; do
if [ -f "$pid_file" ]; then
pid=$(cat "$pid_file")
kill "$pid" 2>/dev/null || true
rm -f "$pid_file"
echo "[Shutdown] Killed PID $pid"
fi
done
# Force kill remaining processes on worker ports
for port in 8081 8082 8083 8084; do
fuser -k "${port}/tcp" 2>/dev/null || true
done
echo "[Shutdown] All workers stopped"

88
url_rewriter.py Normal file
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"""
URL 重写器
- HTML 内容中所有 archiveofourown.org 替换为 agento3.miscs.dev
- CSS/JS 中的 URL 替换
- 响应头中的 Location/Set-Cookie 重写
"""
import re
from typing import Optional
TARGET_DOMAIN = "archiveofourown.org"
MIRROR_DOMAIN = "agento3.miscs.dev"
# Pre-compiled regex for efficiency
DOMAIN_RE = re.compile(rb"archiveofourown\.org", re.IGNORECASE)
# Match URLs in HTML/CSS/JS
URL_RE = re.compile(
rb'(https?://)(www\.)?archiveofourown\.org',
re.IGNORECASE
)
# Content types that need body rewriting
REWRITABLE_CONTENT_TYPES = {
"text/html",
"text/plain",
"text/css",
"application/javascript",
"application/x-javascript",
"text/javascript",
"application/json",
"application/xml",
"text/xml",
"application/atom+xml",
"application/rss+xml",
}
# CSS-specific patterns
CSS_URL_RE = re.compile(rb'url\([\'"]?(https?://[^\)\'"]*archiveofourown\.org[^\)\'"]*)[\'"]?\)', re.IGNORECASE)
# JS-specific patterns (strings containing the domain)
JS_DOMAIN_RE = re.compile(rb'["\'](https?://[^"\']*archiveofourown\.org[^"\']*)["\']', re.IGNORECASE)
def needs_rewrite(content_type: str) -> bool:
"""Check if this content type needs body rewriting."""
if not content_type:
return False
ct = content_type.split(";")[0].strip().lower()
return ct in REWRITABLE_CONTENT_TYPES
def rewrite_body(body: bytes, content_type: Optional[str] = None) -> bytes:
"""
Rewrite AO3 URLs in body content.
If content_type is provided, only rewrite if it's a rewritable type.
"""
if content_type and not needs_rewrite(content_type):
return body
# Simple domain replacement
return DOMAIN_RE.sub(MIRROR_DOMAIN.encode(), body)
def rewrite_response_headers(headers: dict) -> dict:
"""Rewrite AO3 domains in response headers."""
new_headers = {}
for key, value in headers.items():
key_lower = key.lower()
if key_lower == "location":
# Redirect targets
value = value.replace(TARGET_DOMAIN, MIRROR_DOMAIN)
# Also rewrite protocol if needed
value = value.replace("http://", "https://")
elif key_lower == "set-cookie":
# Cookie domain rewrite
value = value.replace(f"domain={TARGET_DOMAIN}", f"domain={MIRROR_DOMAIN}")
value = value.replace(f"Domain={TARGET_DOMAIN}", f"Domain={MIRROR_DOMAIN}")
new_headers[key] = value
return new_headers
def rewrite_redirect_url(url: str) -> str:
"""Rewrite AO3 URLs in redirect targets."""
return url.replace(TARGET_DOMAIN, MIRROR_DOMAIN).replace("http://", "https://")