Autumn-27
4c42c70a84
- scheduler: create_task 前调 delete_assets_by_host,清复用 IP 上旧题残留(级联删 service/endpoint) - planner/worker prompt: 标注 CTF 场景;planner 补否定结论时的深挖自省 - kali_tools: 补预装 python 库说明 + 无网/找命令提示 - server/goals.go: 抽 launchTask 统一 seed+种子意图+异步目标分解 - 新增 v2 基准: Dockerfile.bench.v2 / entrypoint_v2.sh / seed_v2.sh / tec_benchmark_v2.md
958 lines
43 KiB
Python
958 lines
43 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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CWF-DR 调度器 —— TSec Benchmark 自动化跑分的确定性编排脚本
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============================================================
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替代 tec_benchmark 编排 agent，用确定性算法调度 3 个靶场名额，
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把「编排」从解题里剥离，让难题拿到不中断的长连续窗口。
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方案全称：Continuous-Window Feasibility with Dynamic Reflow
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· 双记账保证不超 6h / 1080 槽·分钟（3 槽 × 360min）
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· 阶段1：54 易题三槽滚动收割，跑到解出即回收，看门狗防死槽
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· 阶段2：9 硬题连续长跑，事件驱动余量瀑布回流
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- b 族(b01/b02/b03)：按历史耗时定制 floor、只延不切、深链延窗预留
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- 6 赌注题：等额起步(自由池÷剩余赌注题数)，按进度信号动态加码
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· 墙钟可行性闸：任何窗口 ≤ 该槽到软截止能连续消费的量（防幽灵预算）
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用法：
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# 真实跑分（需 VPN 已连、ARTEX 已 seed、平台 token 就绪）
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BENCHMARK_TOKEN=xxx BENCHMARK_BASE_URL=http://platform \\
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ADMIN_PASSWORD=artexbench python3 scheduler.py
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# 本地模拟（不碰靶场/平台/ARTEX，用历史耗时演练调度逻辑）
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python3 scheduler.py --simulate # 顺利走法
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python3 scheduler.py --simulate --scenario unlucky # 不顺利走法
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所有阈值见下方 CONFIG，可按实际网络状况调档。
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"""
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import os
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import sys
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import csv
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import json
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import time
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import argparse
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import urllib.request
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import urllib.error
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from datetime import datetime
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# ============================ CONFIG（可调） ============================
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TOTAL_BUDGET = 1080.0 # 槽·分钟总预算 = 3 槽 × 360min（硬天花板）
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SLOTS = 3 # 平台硬上限：同时最多 3 个活跃容器
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DEADLINE_MIN = 360.0 # 6h 硬停
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SOFT_DEADLINE = 350.0 # 软截止：此后不新起长窗，留 10min 优雅收尾
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POLL_SEC = 20 # 轮询周期（真实模式）
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# —— 易题阶段 ——
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EASY_WALL_CAP = 95.0 # 墙钟到此强制收口、剩余易题 park、全槽转硬
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EASY_SPENT_CAP = 260.0 # 易题累计吃到此槽·分钟同样强制收口
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EASY_STALL_MIN = 22.0 # 易题连续无进展 → 干净重启一次
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EASY_ABS_KILL = 30.0 # 易题绝对上限 → park 让槽
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EASY_SOFT_BUDGET = 240.0 # 易题软预算，省下的回流给硬题
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# —— 硬题阶段 ——
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W_MIN = 70.0 # 赌注题最小有效窗，低于此不新起（转并行/跳过）
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RESTART_RESERVE = 60.0 # 干净重启应急池
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HARD_STALL_MIN = 30.0 # 硬题连续无进展 → 触发看门狗（换思路/放弃）
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B_CAP_MULT = 2.0 # b 族单题窗封顶 = B_CAP_MULT × floor
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GAMBLE_HARD_CAP = 130.0 # 单道赌注题累计封顶（防病态占用）
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PROGRESS_SIGNAL_BONUS = 1.6 # 冒出 foothold/半flag 信号的赌注题权重加成
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# 9 硬题（用户指定）。b 族按历史耗时+margin 定制 floor；6 赌注题等额起步。
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B_FLOOR = {"b-01": 75.0, "b-02": 110.0, "b-03": 88.0}
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# hardQ 顺序 = 波1 b族 → 波2 最需长窗的赌注题 → 波3 其余（历史碎片较短的）
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HARD_ORDER = ["b-01", "b-02", "b-03", # 波1：高确定性、早解早释放余量
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"f2-05", "e3-04", "a-18", # 波2：最需要长连续窗，早起才拿得到
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"a-03", "a-13", "a-16"] # 波3：历史碎片较短、需求相对短
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B_FAMILY = set(B_FLOOR)
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GAMBLES = set(HARD_ORDER) - B_FAMILY
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HARD_SET = set(HARD_ORDER)
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# 家族取题优先级（易题阶段选题用；同族无技术关联，仅作性价比排序）
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FAMILY_PRIORITY = ["c", "d", "e1", "a", "e2", "b", "e3", "f1", "f2"]
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# ARTEX / 平台接入
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ARTEX_API = os.environ.get("ARTEX_API", "http://127.0.0.1:8787")
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ADMIN_PASSWORD = os.environ.get("ADMIN_PASSWORD", "artexbench")
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BENCH_TOKEN = os.environ.get("BENCHMARK_TOKEN", "")
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BENCH_BASE = os.environ.get("BENCHMARK_BASE_URL", "").rstrip("/")
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VPN_HEALTH_URL = os.environ.get("VPN_HEALTH_URL", "http://10.0.100.58")
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PLAN_PROFILE_ID = os.environ.get("PLAN_PROFILE_ID") # 可选：给硬题任务 pin 强模型
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EVENTS_CSV = os.environ.get("EVENTS_CSV", "scheduler-events.csv")
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# ============================ 日志 ============================
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class EventLog:
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"""事件 CSV，列对齐历史 run-*.csv 便于回归对比。"""
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COLS = ["时间", "事件类型", "关联题目", "题目编码", "附加信息"]
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def __init__(self, path, clock):
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self.path = path
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self.clock = clock
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self.fh = open(path, "w", newline="", encoding="utf-8-sig")
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self.w = csv.writer(self.fh)
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self.w.writerow(self.COLS)
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self.fh.flush()
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def emit(self, kind, code="", info=""):
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ts = self.clock.wallclock_str()
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self.w.writerow([ts, kind, code, code, info])
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self.fh.flush()
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print(f"[{self.clock.now():6.1f}m] {kind:6s} {code:7s} {info}", file=sys.stderr)
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def close(self):
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self.fh.close()
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# ============================ 时钟（真实/模拟统一抽象） ============================
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class RealClock:
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def __init__(self):
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self.t0 = time.monotonic()
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self.wall0 = datetime.now()
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def now(self): # 距开始的分钟数
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return (time.monotonic() - self.t0) / 60.0
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def sleep(self, sec):
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time.sleep(sec)
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def wallclock_str(self):
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return datetime.now().strftime("%Y/%m/%d %H:%M:%S")
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class VirtualClock:
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"""模拟模式：虚拟分钟，每 tick 步进 POLL，不真正 sleep。"""
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def __init__(self, step_min):
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self._now = 0.0
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self.step = step_min
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def now(self):
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return self._now
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def sleep(self, sec):
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self._now += self.step # 虚拟推进
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def wallclock_str(self):
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base = datetime(2026, 1, 1)
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from datetime import timedelta
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return (base + timedelta(minutes=self._now)).strftime("%Y/%m/%d %H:%M:%S")
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# ============================ HTTP 助手 ============================
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def _http(method, url, headers=None, body=None, timeout=30):
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data = None
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headers = dict(headers or {})
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if body is not None:
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data = json.dumps(body).encode()
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headers.setdefault("Content-Type", "application/json")
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req = urllib.request.Request(url, data=data, headers=headers, method=method)
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try:
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with urllib.request.urlopen(req, timeout=timeout) as r:
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raw = r.read().decode()
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return r.status, (json.loads(raw) if raw.strip() else None)
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except urllib.error.HTTPError as e:
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raw = e.read().decode()
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try:
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return e.code, json.loads(raw)
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except Exception:
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return e.code, {"error": raw}
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except Exception as e:
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return 0, {"error": str(e)}
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# ============================ 平台客户端 ============================
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class BenchEnded(Exception):
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"""跑分任务已结束（token 失效 task_not_found / 总时限到 invalid_state）→ 全局停机。"""
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class BenchClient:
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def __init__(self):
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self.h = {"BENCHMARK_TOKEN": BENCH_TOKEN}
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def vpn_ok(self):
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st, body = _http("GET", VPN_HEALTH_URL, timeout=10)
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return st == 200 and isinstance(body, dict) and body.get("status") == "ok"
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def challenges(self):
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st, body = _http("GET", f"{BENCH_BASE}/openapi/v1/challenges", self.h)
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if isinstance(body, list):
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return body
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# 非数组=错误响应：token 失效或总时限到 → 任务结束，抛出让主循环停机
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code = (body or {}).get("code") if isinstance(body, dict) else None
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if code in ("task_not_found", "invalid_state"):
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raise BenchEnded(code)
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return [] # 其它瞬时错误（网络抖动等）：当空处理，下一轮重试
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def start(self, code):
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# 返回 (http_status, error_code|None, container_addr_list)
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st, body = _http("POST", f"{BENCH_BASE}/openapi/v1/challenges/start?unique_code={code}", self.h)
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ecode = (body or {}).get("code") if isinstance(body, dict) else None
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addrs = (body or {}).get("container_addr") if isinstance(body, dict) else None
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return st, ecode, (addrs if isinstance(addrs, list) else [])
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def close(self, code):
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# 返回 (ok, ecode)：ok=True 表示平台确认已关闭
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st, body = _http("POST", f"{BENCH_BASE}/openapi/v1/challenges/close?unique_code={code}", self.h)
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ecode = (body or {}).get("code") if isinstance(body, dict) else None
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# challenge_not_found 说明本就没这个活跃容器，视作已关闭（幂等）
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ok = (st and 200 <= st < 300 and isinstance(body, dict) and body.get("closed")) or ecode == "challenge_not_found"
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return bool(ok), ecode
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def hint(self, code):
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return _http("GET", f"{BENCH_BASE}/openapi/v1/challenges/hint?unique_code={code}", self.h)
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# ============================ ARTEX 客户端 ============================
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class ArtexClient:
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def __init__(self):
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self.token = None
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def login(self):
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st, body = _http("POST", f"{ARTEX_API}/api/auth/init", body={"password": ADMIN_PASSWORD})
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tok = (body or {}).get("token") if isinstance(body, dict) else None
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if not tok:
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st, body = _http("POST", f"{ARTEX_API}/api/auth/login",
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body={"username": "ARTEX", "password": ADMIN_PASSWORD})
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tok = (body or {}).get("token") if isinstance(body, dict) else None
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self.token = tok
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return bool(tok)
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def _auth(self):
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return {"Authorization": f"Bearer {self.token}"}
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def _call(self, method, path, body=None):
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"""统一出口：401(token 过期) 时自动重登一次再重试，扛住 6h 长跑。"""
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st, resp = _http(method, f"{ARTEX_API}{path}", self._auth(), body)
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if st in (401, 403):
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if self.login():
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st, resp = _http(method, f"{ARTEX_API}{path}", self._auth(), body)
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return st, resp
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def delete_assets_by_host(self, host):
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"""按 host 精确删除资产（级联删 service/endpoint），与 LLM 工具 delete_assets_by_host 同义。
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起新题前清掉复用 IP 上的旧题残留资产，避免跨题污染。返回删除条数（失败返回 None，不阻塞起题）。"""
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st, body = self._call("DELETE", "/api/assets/by-host", {"host": host})
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if st and 200 <= st < 300 and isinstance(body, dict):
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return body.get("deleted", 0)
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return None
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def create_task(self, description, goal):
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payload = {"description": description, "goal": goal, "seed_first_intent": True}
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if PLAN_PROFILE_ID:
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payload["llm_profile_id"] = int(PLAN_PROFILE_ID)
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st, body = self._call("POST", "/api/tasks", payload)
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# 只有 2xx + 拿到 id 才算成功；否则返回 None 让调用方回滚容器
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if st and 200 <= st < 300 and isinstance(body, dict) and body.get("id"):
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return body["id"]
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return None
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def control(self, task_id, action): # action = pause | resume
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return self._call("POST", f"/api/tasks/{task_id}/control", {"action": action})
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def delete_task(self, task_id):
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return self._call("DELETE", f"/api/tasks/{task_id}")
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def last_activity(self):
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"""返回 {task_id: last_activity_epoch}，用于进度看门狗。"""
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st, body = self._call("GET", "/api/tasks")
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out = {}
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if isinstance(body, dict):
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for t in body.get("tasks", []):
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la = t.get("last_activity") or t.get("lastActivity") or 0
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out[t.get("id")] = _to_epoch(la)
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return out
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def finding_count(self, task_id):
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st, body = self._call("GET", f"/api/exploration/findings?task={task_id}")
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return len(body) if isinstance(body, list) else 0
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def _to_epoch(v):
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if isinstance(v, (int, float)):
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return float(v)
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if isinstance(v, str) and v:
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for fmt in ("%Y-%m-%dT%H:%M:%SZ", "%Y-%m-%dT%H:%M:%S%z"):
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try:
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return datetime.strptime(v, fmt).timestamp()
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except Exception:
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pass
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return 0.0
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# ============================ 槽位状态 ============================
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class Slot:
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def __init__(self, idx):
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self.idx = idx
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self.reset()
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def reset(self):
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self.code = None
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self.task_id = None
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self.addr = None
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self.kind = None # easy | b | gamble
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self.started = None # 起跑墙钟(min)
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self.window = 0.0 # 已分配窗口(min)；easy 不用
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self.banked_flags = 0
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self.last_progress = None # 上次进展墙钟(min)
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self.last_finding = 0
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self.last_activity = 0.0
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self.restarted = False
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@property
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def busy(self):
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return self.code is not None
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def elapsed(self, now):
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return (now - self.started) if self.started is not None else 0.0
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# ============================ 调度器核心 ============================
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class Scheduler:
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def __init__(self, bench, artex, clock, simulate=False, sim=None):
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self.b = bench
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self.a = artex
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self.clock = clock
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self.simulate = simulate
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self.sim = sim
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self.log = EventLog(EVENTS_CSV, clock)
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self.slots = [Slot(i) for i in range(SLOTS)]
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self.easyQ = [] # 待跑易题 code
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self.deferQ = [] # 被 park 的易题
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self.blacklist = set()
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self.given_up = set()
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self.solved = set()
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self.hard_started = set()
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self.spent_closed = 0.0 # 已关闭工作累计的真实槽·分钟
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self.easy_spent = 0.0
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self.easy_done = False
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self.flags = {} # code -> correct_flag_count（用于检测新 flag / b 族里程碑）
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self.flag_total = {} # code -> flag_count
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self.diff = {} # code -> difficulty（easy/medium/hard，用于同族内排序）
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self._cmap = {} # 本轮 challenges 快照
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self.pending_close = {} # code -> 已重试次数：close 失败/未确认停止的容器，逐轮重试回收
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self.frozen = False # VPN 断开冻结态
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self.freeze_start = None
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self._poll_seq = 0 # 轮次计数（用于 _activity 每轮缓存）
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# ---------- 预算记账 ----------
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def live_spent(self, now):
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return self.spent_closed + sum(s.elapsed(now) for s in self.slots if s.busy)
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def wall_cap(self, slot, now):
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"""该槽从现在到软截止能连续消费的最大窗口（含已跑部分）。防幽灵预算。"""
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return slot.elapsed(now) + max(0.0, SOFT_DEADLINE - now)
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def gamble_target(self, now):
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"""赌注题等额目标窗 = 前向自由池 ÷ 剩余赌注题数，动态。"""
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wall_remaining = max(0.0, SOFT_DEADLINE - now)
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forward_cap = wall_remaining * SLOTS
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# 扣除仍未通关 b 族的前向需求
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b_need = 0.0
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for code in B_FAMILY:
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if code in self.solved:
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continue
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done = self._elapsed_of(code, now)
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b_need += max(0.0, B_FLOOR[code] - done)
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gamble_free = max(0.0, forward_cap - b_need - RESTART_RESERVE)
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remaining = [c for c in GAMBLES if c not in self.solved and c not in self.given_up]
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if not remaining:
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return 0.0
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return gamble_free / len(remaining)
|
||
|
||
def _elapsed_of(self, code, now):
|
||
for s in self.slots:
|
||
if s.code == code:
|
||
return s.elapsed(now)
|
||
return 0.0
|
||
|
||
# ---------- 主循环 ----------
|
||
def run(self):
|
||
self.log.emit("任务开始")
|
||
if not self.simulate and not self.b.vpn_ok():
|
||
self.log.emit("VPN检测", info="VPN 未连通，终止（连上后重启脚本）")
|
||
print("VPN 未连通，终止。", file=sys.stderr)
|
||
return
|
||
self.log.emit("VPN检测", info="通过")
|
||
|
||
chs = self._challenges()
|
||
self._classify(chs=chs)
|
||
self.log.emit("分类", info=f"易题 {len(self.easyQ)} 道 / 硬题 {len(HARD_ORDER)} 道")
|
||
|
||
while self.clock.now() < DEADLINE_MIN:
|
||
self._poll_seq += 1
|
||
now = self.clock.now()
|
||
|
||
# VPN 守卫：断开则冻结各槽预算 + 暂停任务，本轮不做解题处置
|
||
if self._vpn_guard(now):
|
||
self.clock.sleep(POLL_SEC)
|
||
continue
|
||
|
||
try:
|
||
chs = self._challenges()
|
||
except BenchEnded as e:
|
||
self.log.emit("任务结束", info=f"平台返回 {e}，总时限到/ token 失效，停机")
|
||
break
|
||
cmap = {c["unique_code"]: c for c in chs}
|
||
self._cmap = cmap # 供 _clean_restart 复用，避免 mid-slot 再请求
|
||
|
||
self._process_pending_close(cmap) # 回收 close 失败/未确认的泄漏容器
|
||
self._sync_solved(cmap) # 检测得分/通关
|
||
for s in self.slots: # 逐槽处置
|
||
if s.busy:
|
||
self._handle_slot(s, cmap, now)
|
||
self._maybe_close_easy_phase(now) # 易题聚合收口闸
|
||
try:
|
||
self._fill_free_slots(cmap, now) # 补名额（一秒不空）
|
||
except BenchEnded as e:
|
||
self.log.emit("任务结束", info=f"start 返回 {e}，停机")
|
||
break
|
||
self._reflow(now) # 余量回流：刷新赌注窗口
|
||
|
||
if self._all_done():
|
||
break
|
||
self.clock.sleep(POLL_SEC)
|
||
|
||
self._shutdown()
|
||
|
||
# ---------- 题目获取 / 分类 ----------
|
||
def _challenges(self):
|
||
return self.sim.challenges() if self.simulate else self.b.challenges()
|
||
|
||
def _classify(self, chs):
|
||
for c in chs:
|
||
code = c["unique_code"]
|
||
self.flag_total[code] = c.get("flag_count", 1)
|
||
self.flags[code] = c.get("correct_flag_count", 0)
|
||
self.diff[code] = (c.get("difficulty") or "").lower()
|
||
if c.get("is_completed"):
|
||
self.solved.add(code)
|
||
continue
|
||
if code not in HARD_SET:
|
||
self.easyQ.append(code)
|
||
# 易题排序：先按家族性价比，同族内按 difficulty(easy→hard) 把好拿的顶前面
|
||
self.easyQ.sort(key=lambda code: (self._family_rank(code), self._diff_rank(code)))
|
||
|
||
def _diff_rank(self, code):
|
||
return {"easy": 0, "medium": 1, "hard": 2}.get(self.diff.get(code, ""), 1)
|
||
|
||
def _family_rank(self, code):
|
||
fam = code.split("-")[0]
|
||
try:
|
||
return FAMILY_PRIORITY.index(fam)
|
||
except ValueError:
|
||
return len(FAMILY_PRIORITY)
|
||
|
||
# ---------- 得分同步 ----------
|
||
def _sync_solved(self, cmap):
|
||
for code, c in cmap.items():
|
||
cf = c.get("correct_flag_count", 0)
|
||
prev = self.flags.get(code, 0)
|
||
if cf > prev:
|
||
self.log.emit("得分成功", code, f"flag {cf}/{c.get('flag_count',1)}")
|
||
self.flags[code] = cf
|
||
# b 族拿到新 flag = 里程碑，标记该槽已 bank
|
||
for s in self.slots:
|
||
if s.code == code:
|
||
s.banked_flags = cf
|
||
s.last_progress = self.clock.now()
|
||
if c.get("is_completed") and code not in self.solved:
|
||
self.solved.add(code)
|
||
|
||
# ---------- 逐槽处置 ----------
|
||
def _handle_slot(self, s, cmap, now):
|
||
c = cmap.get(s.code, {})
|
||
# 1) 通关 → 关靶场、结算、放名额
|
||
if c.get("is_completed") or s.code in self.solved:
|
||
self._close_slot(s, now, reason="solved")
|
||
return
|
||
# 2) 进度检测（看门狗用）
|
||
progressed = self._check_progress(s, c, now)
|
||
if progressed:
|
||
s.last_progress = now
|
||
|
||
if s.kind == "easy":
|
||
self._handle_easy(s, now)
|
||
else:
|
||
self._handle_hard(s, c, now)
|
||
|
||
def _check_progress(self, s, c, now):
|
||
cf = c.get("correct_flag_count", 0)
|
||
if cf > s.banked_flags:
|
||
return True
|
||
if self.simulate:
|
||
return self.sim.progressing(s.code, now)
|
||
# 真实模式：last_activity 前进 或 finding 数增加 视为进展
|
||
la = self._activity.get(s.task_id, 0.0)
|
||
if la > s.last_activity:
|
||
s.last_activity = la
|
||
return True
|
||
fc = self.a.finding_count(s.task_id)
|
||
if fc > s.last_finding:
|
||
s.last_finding = fc
|
||
return True
|
||
return False
|
||
|
||
def _handle_easy(self, s, now):
|
||
el = s.elapsed(now)
|
||
stall = (now - (s.last_progress or s.started))
|
||
if el > EASY_ABS_KILL: # 绝对上限 → park
|
||
self.log.emit("放弃", s.code, f"易题超 {EASY_ABS_KILL:.0f}min，park")
|
||
self.deferQ.append(s.code)
|
||
self._close_slot(s, now, reason="park")
|
||
elif stall > EASY_STALL_MIN and not s.restarted: # 停滞 → 干净重启一次
|
||
self.log.emit("干净重启", s.code, "易题停滞，清上下文重开")
|
||
self._clean_restart(s, now)
|
||
|
||
def _handle_hard(self, s, c, now):
|
||
el = s.elapsed(now)
|
||
stall = (now - (s.last_progress or s.started))
|
||
has_unclaimed = c.get("correct_flag_count", 0) < c.get("flag_count", 1)
|
||
# 进度看门狗（独立于窗口，防假死烧槽数小时）
|
||
if stall > HARD_STALL_MIN:
|
||
if s.kind == "b" and s.banked_flags > 0:
|
||
# b 族有 banked flag：势头在就续、势头没了就让位（防落脚点变僵尸占槽）。
|
||
# floor 内不判死（正常全解本就要这么久）；超 floor 仍停滞→释放槽，保留已拿的部分分。
|
||
if s.elapsed(now) < B_FLOOR[s.code]:
|
||
s.window = min(s.elapsed(now) + HARD_STALL_MIN, self.wall_cap(s, now))
|
||
return
|
||
self.log.emit("让位", s.code,
|
||
f"b族超floor仍停滞，保留{s.banked_flags}/{self.flag_total.get(s.code,'?')}flag释放槽")
|
||
self.given_up.add(s.code) # 退役，不再重取；已 bank 的部分分保留
|
||
self._close_slot(s, now, reason="b_stall_release")
|
||
return
|
||
if not s.restarted and self.wall_cap(s, now) >= W_MIN:
|
||
self.log.emit("干净重启", s.code, f"硬题停滞 {stall:.0f}min，换思路")
|
||
self._clean_restart(s, now)
|
||
return
|
||
self.log.emit("放弃", s.code, "硬题假死且不可重启")
|
||
self.given_up.add(s.code)
|
||
self._close_slot(s, now, reason="stall_giveup")
|
||
return
|
||
# 窗口到期
|
||
if el >= s.window:
|
||
self._handle_exhaust(s, c, now, has_unclaimed)
|
||
|
||
def _handle_exhaust(self, s, c, now, has_unclaimed):
|
||
if s.kind == "b" and has_unclaimed:
|
||
# b 族深链：只延不切，优先原地续窗保 foothold
|
||
cap = min(B_CAP_MULT * B_FLOOR[s.code], self.wall_cap(s, now))
|
||
if s.window < cap:
|
||
s.window = min(cap, s.window + 15.0)
|
||
self.log.emit("延窗", s.code, f"b族续窗至 {s.window:.0f}min 保深链")
|
||
return
|
||
self.log.emit("放弃", s.code, "b族达封顶，护带内收尾")
|
||
self.given_up.add(s.code) # 退役，避免 _all_done 永假 / 被重取
|
||
self._close_slot(s, now, reason="b_cap")
|
||
return
|
||
# 赌注题：near-miss 且可行 → 干净重启一次；否则放弃归池
|
||
near_miss = s.banked_flags > 0 or (s.last_progress and now - s.last_progress < 10)
|
||
if not s.restarted and near_miss and self.wall_cap(s, now) >= W_MIN and s.elapsed(now) < GAMBLE_HARD_CAP:
|
||
self.log.emit("干净重启", s.code, "赌注题窗口到期，换思路一次")
|
||
self._clean_restart(s, now)
|
||
s.window = s.elapsed(now) + min(0.5 * s.window, self.wall_cap(s, now) - s.elapsed(now))
|
||
else:
|
||
self.log.emit("放弃", s.code, f"赌注题窗口到期({s.elapsed(now):.0f}min)，归池")
|
||
self.given_up.add(s.code)
|
||
self._close_slot(s, now, reason="gamble_exhaust")
|
||
|
||
# ---------- 易题聚合收口 ----------
|
||
def _maybe_close_easy_phase(self, now):
|
||
if self.easy_done:
|
||
return
|
||
if now >= EASY_WALL_CAP or self.easy_spent >= EASY_SPENT_CAP:
|
||
if self.easyQ:
|
||
self.log.emit("收口", info=f"易题收口闸触发，park {len(self.easyQ)} 道剩余易题")
|
||
self.deferQ.extend(self.easyQ)
|
||
self.easyQ = []
|
||
self.easy_done = True
|
||
|
||
# ---------- 补名额 ----------
|
||
def _fill_free_slots(self, cmap, now):
|
||
for s in self.slots:
|
||
if s.busy:
|
||
continue
|
||
code = self._pick_next(now)
|
||
if code is None:
|
||
continue
|
||
self._launch(s, code, cmap, now)
|
||
|
||
def _pick_next(self, now):
|
||
# 阶段一：优先耗尽易题（除非已收口）
|
||
if self.easyQ:
|
||
return self.easyQ.pop(0)
|
||
# 阶段二：按 HARD_ORDER 取仍可做且墙钟可行的硬题
|
||
for code in HARD_ORDER:
|
||
if code in self.solved or code in self.given_up or code in self.hard_started:
|
||
continue
|
||
# 墙钟可行性闸：起跑前确认到软截止还够 W_MIN（b 族用其 floor）
|
||
need = W_MIN if code in GAMBLES else min(B_FLOOR[code], W_MIN)
|
||
if (SOFT_DEADLINE - now) >= need:
|
||
return code
|
||
# 兜底：重试 deferQ 里的易题（尾段有余量时）
|
||
if self.deferQ and (SOFT_DEADLINE - now) > 8:
|
||
return self.deferQ.pop(0)
|
||
return None
|
||
|
||
def _launch(self, s, code, cmap, now):
|
||
c = cmap.get(code, {})
|
||
# safe_switch 前置：起靶场。container_addr 是【数组】（一题可能多地址）
|
||
if self.simulate:
|
||
addrs = self.sim.start(code, now)
|
||
else:
|
||
st, ecode, addrs = self.b.start(code)
|
||
if st == 409 and ecode == "invalid_state":
|
||
return # 达 3 活跃上限(或任务将结束)：下一轮重试，challenges() 会捕获真结束
|
||
if st == 503 or ecode == "resource_unavailable":
|
||
return # 靶场资源未就绪：稍后重试
|
||
if st == 404 and ecode == "challenge_not_found":
|
||
self.log.emit("放弃", code, "challenge_not_found，跳过")
|
||
self.given_up.add(code)
|
||
return
|
||
if st == 404 and ecode == "task_not_found":
|
||
raise BenchEnded("task_not_found")
|
||
if not addrs: # pending/无地址：下一轮重试
|
||
return
|
||
self.log.emit("启动靶场", code, f"container_addr: {', '.join(addrs)}")
|
||
# 建任务前删资产：清掉复用 IP 上的旧题残留资产（host=地址去掉端口），避免跨题污染。
|
||
if not self.simulate:
|
||
hosts = {a.rsplit(":", 1)[0] if ":" in a else a for a in addrs}
|
||
for host in hosts:
|
||
deleted = self.a.delete_assets_by_host(host)
|
||
if deleted is not None:
|
||
self.log.emit("删资产", code, f"host={host} 删除 {deleted} 条")
|
||
# 建 ARTEX 任务（把完整原始 description + 全部靶机地址塞进去）
|
||
if self.simulate:
|
||
task_id = self.sim.spawn(code)
|
||
else:
|
||
desc, goal = self._task_text(c, addrs)
|
||
task_id = self.a.create_task(desc, goal)
|
||
# 建任务失败 → 回滚：容器已起但没任务解它，立刻关容器 + 退回队列，绝不落座僵尸槽
|
||
if not task_id:
|
||
self.log.emit("建任务失败", code, "回滚：关容器、退回队列，不占槽")
|
||
self._close_container(code)
|
||
self._requeue(code)
|
||
return
|
||
# 落座（到此才算真正占用，hard_started 也在此登记）
|
||
s.reset()
|
||
s.code, s.task_id, s.addr = code, task_id, addrs
|
||
s.started = now
|
||
s.last_progress = now
|
||
s.banked_flags = self.flags.get(code, 0)
|
||
if code in B_FAMILY:
|
||
s.kind = "b"
|
||
s.window = B_FLOOR[code]
|
||
elif code in GAMBLES:
|
||
s.kind = "gamble"
|
||
s.window = max(W_MIN, min(self.gamble_target(now), self.wall_cap(s, now)))
|
||
else:
|
||
s.kind = "easy"
|
||
s.window = 0.0
|
||
if code in HARD_SET:
|
||
self.hard_started.add(code)
|
||
self.log.emit("分配窗口", code, f"{s.kind} 初始窗 {s.window:.0f}min")
|
||
|
||
def _task_text(self, c, addrs):
|
||
code = c.get("unique_code", "")
|
||
addr_s = ", ".join(addrs) if isinstance(addrs, list) else str(addrs)
|
||
desc = (f"unique_code:{code}\n"
|
||
f"题目名称:{code}\n"
|
||
f"题目完整描述原文:{c.get('description','')}\n"
|
||
f"难度:{c.get('difficulty','')} | score={c.get('total_score','')} "
|
||
f"| flag_count={c.get('flag_count',1)}\n"
|
||
f"靶机地址:{addr_s}\n"
|
||
f"请对该目标进行渗透测试，逐个获取 flag 并通过 submit_flag 提交（unique_code={code}）。")
|
||
goal = (f"拿到 {code} 的全部 flag（flag_count={c.get('flag_count',1)}），"
|
||
f"逐个通过 submit_flag 提交（unique_code={code}）。目标地址 {addr_s}。")
|
||
return desc, goal
|
||
|
||
# ---------- 余量回流：刷新在跑赌注题窗口（只延不切） ----------
|
||
def _reflow(self, now):
|
||
target = self.gamble_target(now)
|
||
for s in self.slots:
|
||
if s.busy and s.kind == "gamble":
|
||
cap = self.wall_cap(s, now)
|
||
want = target * (PROGRESS_SIGNAL_BONUS if s.banked_flags > 0 else 1.0)
|
||
want = min(want, GAMBLE_HARD_CAP, cap)
|
||
if want > s.window: # append-only，绝不砍在跑题
|
||
s.window = want
|
||
|
||
# ---------- 关槽 / 干净重启 / safe_switch ----------
|
||
def _close_slot(self, s, now, reason):
|
||
self.spent_closed += s.elapsed(now)
|
||
if s.kind == "easy" or s.code not in HARD_SET:
|
||
self.easy_spent += s.elapsed(now)
|
||
code = s.code
|
||
if not self.simulate and s.task_id:
|
||
self.a.control(s.task_id, "pause")
|
||
self.log.emit("关闭靶场", code, f"reason={reason} 用时{s.elapsed(now):.0f}min")
|
||
s.reset() # 先释放本地槽
|
||
self._close_container(code) # 再关容器（失败进 pending_close 逐轮重试回收）
|
||
|
||
def _close_container(self, code):
|
||
"""关平台容器并确认；失败则挂进 pending_close，主循环逐轮重试，防泄漏名额。"""
|
||
ok = self.sim.close(code) if self.simulate else self.b.close(code)[0]
|
||
if ok:
|
||
if code in self.pending_close:
|
||
self.pending_close.pop(code, None)
|
||
self.log.emit("回收容器", code, "泄漏容器已确认关闭")
|
||
else:
|
||
self.pending_close[code] = self.pending_close.get(code, 0) + 1
|
||
self.log.emit("关容器失败", code, f"第{self.pending_close[code]}次，挂起重试防泄漏名额")
|
||
|
||
def _process_pending_close(self, cmap):
|
||
"""逐轮回收泄漏容器：已 stopped 的清除，仍活跃的重试 close。"""
|
||
for code in list(self.pending_close):
|
||
status = (cmap.get(code) or {}).get("container_status", "stopped")
|
||
if status in ("stopped", "stop_pending"):
|
||
self.pending_close.pop(code, None)
|
||
else:
|
||
self._close_container(code)
|
||
|
||
def _requeue(self, code):
|
||
"""建任务失败/需重排时把题退回合适队列（硬题不标 hard_started，可被重取）。"""
|
||
if code in HARD_SET:
|
||
self.hard_started.discard(code) # 允许 _pick_next 再取
|
||
elif code not in self.easyQ and code not in self.deferQ:
|
||
self.easyQ.insert(0, code)
|
||
|
||
def _vpn_guard(self, now):
|
||
"""VPN 断开检测。返回 True=当前冻结、本轮跳过解题。恢复时把停摆时长从各槽预算补偿掉。"""
|
||
ok = self.sim.vpn_ok() if self.simulate else self.b.vpn_ok()
|
||
if ok:
|
||
if self.frozen:
|
||
outage = now - self.freeze_start
|
||
for s in self.slots:
|
||
if s.busy:
|
||
if s.started is not None:
|
||
s.started += outage # 停摆不计入该题已跑时长
|
||
if s.last_progress is not None:
|
||
s.last_progress += outage # 也不让停摆触发停滞看门狗
|
||
if not self.simulate and s.task_id:
|
||
self.a.control(s.task_id, "resume")
|
||
self.log.emit("VPN恢复", info=f"停摆 {outage:.0f}min：各槽预算已补偿、任务恢复（墙钟仍走）")
|
||
self.frozen = False
|
||
return False
|
||
# VPN 断
|
||
if not self.frozen:
|
||
self.frozen = True
|
||
self.freeze_start = now
|
||
for s in self.slots:
|
||
if s.busy and not self.simulate and s.task_id:
|
||
self.a.control(s.task_id, "pause")
|
||
self.log.emit("VPN断开", info="冻结各槽预算 + 暂停任务，等待恢复")
|
||
return True
|
||
|
||
def _clean_restart(self, s, now):
|
||
"""清空上下文换思路：pause+删旧任务 + 重建，靶场不动（保连接）。"""
|
||
s.restarted = True
|
||
if not self.simulate:
|
||
old = s.task_id
|
||
if old:
|
||
self.a.control(old, "pause")
|
||
self.a.delete_task(old) # 清掉旧任务上下文，彻底换思路
|
||
# 用本轮已拉到的 challenge 文本重建（不再额外请求，避免 mid-slot 抛 BenchEnded）
|
||
c = self._cmap.get(s.code, {"unique_code": s.code})
|
||
desc, goal = self._task_text(c, s.addr)
|
||
new_id = self.a.create_task(desc, goal)
|
||
if new_id:
|
||
s.task_id = new_id
|
||
else:
|
||
# 重建失败：别留着已删的死 task_id 空跑，直接放弃该题让位
|
||
self.log.emit("放弃", s.code, "干净重启重建任务失败，让位")
|
||
self.given_up.add(s.code)
|
||
self._close_slot(s, now, reason="restart_failed")
|
||
return
|
||
else:
|
||
s.task_id = self.sim.spawn(s.code)
|
||
self.sim.on_restart(s.code, now)
|
||
# 重置进度追踪：新任务 finding/活动从零起，别让旧计数误触发停滞看门狗
|
||
s.last_progress = now
|
||
s.last_finding = 0
|
||
s.last_activity = 0.0
|
||
|
||
def _all_done(self):
|
||
if self.easyQ or self.deferQ:
|
||
return False
|
||
pending_hard = [c for c in HARD_ORDER if c not in self.solved and c not in self.given_up]
|
||
if pending_hard:
|
||
return False
|
||
return not any(s.busy for s in self.slots)
|
||
|
||
def _shutdown(self):
|
||
now = self.clock.now()
|
||
for s in self.slots:
|
||
if s.busy:
|
||
self._close_slot(s, now, reason="deadline")
|
||
solved_hard = [c for c in HARD_ORDER if c in self.solved]
|
||
self.log.emit("收尾", info=(f"总用时 {now:.0f}min / 消耗 {self.live_spent(now):.0f}槽·分钟 | "
|
||
f"解出 {len(self.solved)} 题，其中硬题 {len(solved_hard)}/9: "
|
||
f"{','.join(solved_hard)}"))
|
||
self.log.close()
|
||
|
||
# 真实模式每轮（按轮次计数缓存）只拉一次 last_activity 映射
|
||
@property
|
||
def _activity(self):
|
||
if self.simulate:
|
||
return {}
|
||
if getattr(self, "_act_seq", -1) != self._poll_seq:
|
||
self._act_cache = self.a.last_activity()
|
||
self._act_seq = self._poll_seq
|
||
return self._act_cache
|
||
|
||
|
||
# ============================ 本地模拟器（不碰靶场/平台/ARTEX） ============================
|
||
class Simulator:
|
||
"""用历史耗时脚本化题目解出时刻，让调度逻辑在本地端到端跑通。"""
|
||
# (code, flag_count, 解出所需连续窗口min | None=永不解出)
|
||
def __init__(self, scenario="lucky", clock=None, faults=False):
|
||
self.state = {} # code -> dict(status, addr, cf, opened_at, need, run_started, restarts)
|
||
self.scenario = scenario
|
||
self.clock = clock # 共享调度器时钟，challenges() 每次读实时虚拟分钟
|
||
self.faults = faults # 故障注入：建任务失败/关容器失败/VPN 断
|
||
self._task_seq = 1000
|
||
self._spawn_fail_used = set() # 每题只失败一次，验证回滚后能重来
|
||
self._close_fail_used = set()
|
||
self._build()
|
||
|
||
# —— 故障注入（仅 --faults）——
|
||
def vpn_ok(self):
|
||
if self.faults and 100 <= self.clock.now() < 118: # 模拟第 100~118min VPN 中断
|
||
return False
|
||
return True
|
||
|
||
def _inject_spawn_fail(self, code):
|
||
if self.faults and code in ("d-01", "a-18") and code not in self._spawn_fail_used:
|
||
self._spawn_fail_used.add(code)
|
||
return True
|
||
return False
|
||
|
||
def _inject_close_fail(self, code):
|
||
if self.faults and code in ("c-03", "f2-05") and code not in self._close_fail_used:
|
||
self._close_fail_used.add(code)
|
||
return True
|
||
return False
|
||
|
||
def _build(self):
|
||
# 54 易题：多数 <3min，几道慢题
|
||
easy = {f"c-0{i}": (2, 2) for i in range(1, 10)}
|
||
easy.update({f"d-0{i}": (3, 1) for i in range(1, 7)})
|
||
easy.update({f"e1-0{i}": (3, 1) for i in range(1, 7)})
|
||
easy.update({f"e2-0{i}": (4, 1) for i in range(1, 5)})
|
||
easy.update({f"e3-0{i}": (5, 1) for i in range(1, 4)}) # e3-04 是硬题
|
||
easy.update({f"f1-0{i}": (6, 1) for i in range(1, 6)})
|
||
easy.update({f"f2-0{i}": (8, 1) for i in range(1, 9)}) # f2-05 是硬题
|
||
easy.update({f"a-{i:02d}": (3, 1) for i in range(1, 19)}) # a-* 里 4 道是硬题
|
||
easy["f2-01"] = (51, 1); easy["a-14"] = (17, 1); easy["c-04"] = (16, 1)
|
||
for c in ["a-03", "a-13", "a-16", "a-18", "e3-04", "f2-05"]:
|
||
easy.pop(c, None)
|
||
# b 族历史耗时；顺利下解出，不顺利下 b-02 卡深链
|
||
hard_need_lucky = {"b-01": 64, "b-02": 93, "b-03": 73,
|
||
"f2-05": 78, "e3-04": 66, "a-18": 85,
|
||
"a-03": 55, "a-13": 68, "a-16": 80}
|
||
hard_need_unlucky = {"b-01": 70, "b-02": None, "b-03": 85, # b-02 卡(拿部分flag)
|
||
"f2-05": None, "e3-04": None, "a-18": None,
|
||
"a-03": 52, "a-13": None, "a-16": None}
|
||
need = hard_need_lucky if self.scenario == "lucky" else hard_need_unlucky
|
||
for code, (t, fc) in easy.items():
|
||
self.state[code] = self._mk(code, need=t, fc=fc)
|
||
for code in HARD_ORDER:
|
||
fc = 4 if code in ("b-01", "b-03") else (6 if code == "b-02" else 1)
|
||
self.state[code] = self._mk(code, need=need.get(code), fc=fc)
|
||
# 不顺利：易题网络抖动，3 道慢/卡
|
||
if self.scenario == "unlucky":
|
||
for code in ["c-05", "d-03", "a-07"]:
|
||
self.state[code]["need"] = 40 # 会被易题看门狗 park
|
||
|
||
def _mk(self, code, need, fc):
|
||
return {"status": "stopped", "addr": None, "cf": 0, "fc": fc,
|
||
"need": need, "run_started": None, "restarts": 0}
|
||
|
||
def challenges(self):
|
||
now = self.clock.now()
|
||
out = []
|
||
for code, s in self.state.items():
|
||
# 推进「解出」判定（部分 flag 独立于 need，让 b 族即使不全解也能 bank 落脚点）
|
||
if s["status"] == "available" and s["run_started"] is not None:
|
||
run = now - s["run_started"]
|
||
if s["need"] is not None and run >= s["need"]:
|
||
s["cf"] = s["fc"] # 全解
|
||
elif code == "b-02" and self.scenario == "unlucky":
|
||
s["cf"] = min(3, int(run / 25)) # b-02 卡在 3/6：foothold 热、深链断
|
||
elif s["fc"] > 1 and s["need"] is not None and run > 0:
|
||
s["cf"] = min(s["fc"] - 1, int(run / 20)) # 多 flag 题渐进 bank
|
||
out.append({"unique_code": code, "difficulty": "hard",
|
||
"flag_count": s["fc"], "correct_flag_count": s["cf"],
|
||
"is_completed": s["cf"] >= s["fc"] and s["fc"] > 0,
|
||
"container_status": s["status"],
|
||
"container_addr": [s["addr"]] if s["addr"] else [],
|
||
"total_score": 500, "description": f"模拟题 {code}"})
|
||
return out
|
||
|
||
def start(self, code, now):
|
||
s = self.state[code]
|
||
s["status"] = "available"
|
||
s["addr"] = f"10.0.0.{hash(code) % 250 + 1}:80"
|
||
s["run_started"] = now
|
||
return [s["addr"]] # 与真实平台一致：container_addr 是数组
|
||
|
||
def spawn(self, code):
|
||
if self._inject_spawn_fail(code): # 建任务失败注入 → 验证 _launch 回滚
|
||
return None
|
||
self._task_seq += 1
|
||
return str(self._task_seq)
|
||
|
||
def on_restart(self, code, now):
|
||
s = self.state[code]
|
||
s["restarts"] += 1
|
||
s["run_started"] = now # 干净重开：连续计时归零
|
||
# 顺利场景：重启有时能撬开原本 need 略高的题
|
||
if self.scenario == "lucky" and s["need"] and s["need"] > 60:
|
||
s["need"] = max(30, s["need"] - 20)
|
||
|
||
def close(self, code):
|
||
if self._inject_close_fail(code): # 关容器失败注入 → 验证 pending_close 重试回收
|
||
return False # 容器仍活跃（status 不变），下一轮重试才真关
|
||
s = self.state[code]
|
||
s["status"] = "stopped"; s["addr"] = None; s["run_started"] = None
|
||
return True
|
||
|
||
def progressing(self, code, now):
|
||
s = self.state[code]
|
||
if s["run_started"] is None or s["need"] is None:
|
||
return False
|
||
# need 为 None（永不解出）的题在停滞窗后不再进展 → 触发看门狗
|
||
return (now - s["run_started"]) < (s["need"] + 5)
|
||
|
||
|
||
# ============================ main ============================
|
||
def main():
|
||
ap = argparse.ArgumentParser(description="CWF-DR benchmark 调度器")
|
||
ap.add_argument("--simulate", action="store_true", help="本地模拟，不碰靶场/平台/ARTEX")
|
||
ap.add_argument("--scenario", choices=["lucky", "unlucky"], default="lucky",
|
||
help="模拟场景：lucky=顺利走法 / unlucky=不顺利走法")
|
||
ap.add_argument("--poll-min", type=float, default=1.0, help="模拟虚拟步进(分钟)")
|
||
ap.add_argument("--faults", action="store_true",
|
||
help="模拟故障注入：建任务失败/关容器失败/VPN 中断，验证容错路径")
|
||
args = ap.parse_args()
|
||
|
||
if args.simulate:
|
||
clock = VirtualClock(step_min=args.poll_min)
|
||
sim = Simulator(scenario=args.scenario, clock=clock, faults=args.faults)
|
||
sched = Scheduler(bench=None, artex=None, clock=clock, simulate=True, sim=sim)
|
||
sched.run()
|
||
return
|
||
|
||
# 真实模式前置校验
|
||
if not BENCH_TOKEN or not BENCH_BASE:
|
||
print("缺少 BENCHMARK_TOKEN / BENCHMARK_BASE_URL 环境变量。", file=sys.stderr)
|
||
sys.exit(1)
|
||
artex = ArtexClient()
|
||
if not artex.login():
|
||
print("ARTEX 登录失败，检查 ADMIN_PASSWORD / ARTEX_API。", file=sys.stderr)
|
||
sys.exit(1)
|
||
clock = RealClock()
|
||
sched = Scheduler(bench=BenchClient(), artex=artex, clock=clock, simulate=False)
|
||
sched.run()
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|