486 lines
28 KiB
Python
486 lines
28 KiB
Python
"""训练控制台（本地网页，零第三方依赖，离线可用）：一键开始全流程、看进度、可停止。
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双击 ml/console.bat（Windows）或运行 bash ml/console.sh（Linux/WSL）→ 自动打开 http://localhost:8100
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也可：python -m ml.monitor [--port 8100] [--host 0.0.0.0] [--open]
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网页上点「开始训练」→ 选参数 → 后台执行 bash ml/pipeline.sh all（已完成的阶段自动跳过 = 续跑；勾「从头重跑」= FRESH=1），
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输出写 ml/runs/console.log，网页实时显示；「停止」结束整个进程树。网页和控制台窗口关掉都不影响训练，重新打开即可继续看。
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只读数据来源：
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ml/runs/pipeline.json 各阶段开始/结束/返回码（pipeline.sh 自动写）→ 全流程进度
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ml/runs/*/log.jsonl 预训练（base / wta / bench_*）与 APG（apg / apg_r*）逐步日志与闭环评估
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ml/runs/m5_gate_*.json、mine/r*/report.json + gate.json、policy_bench.json、acceptance.json
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ml/data/stats.json / consistency.json / r2.json / samples/index.json、nvidia-smi
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安全：默认只监听 127.0.0.1；--host 0.0.0.0 时其他机器只能看，开始/停止只接受本机请求（--remote-control 放开）。
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2026-10-18 新增（用户要求：训练全程可视化，并在网页上点按钮一键开始）。
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2026-10-18 第五轮（审查第四轮）：
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N-7 是否在跑看 ml/runs/pipeline.lock（与终端同一把锁），不再靠"日志 120 s 内有更新"去猜；
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N-8 开始/停止要求自定义头 X-Console + 同源 Origin/Sec-Fetch-Site，外站网页发不进来；
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N-10 启动自检（训练用 Python 能否 import torch、GPU、node、bash），不过就拒绝「开始训练」并在顶栏标红；
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N-11 Windows 子进程用 CREATE_NO_WINDOW 自带隐藏控制台：关掉控制台黑窗口训练照跑，重开控制台可接着看、可停止；
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N-9 生成阶段的行数按文件增量统计（只读新增字节），其他阶段不扫 shard；
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N-12 停止后的状态改写走 ml.pstate（单一写者、原子替换）；N-14 阶段名/估时/权重由 ml.pstate.STAGES 下发。"""
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import argparse, glob, json, os, re, shutil, signal, subprocess, sys, threading, time, webbrowser
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from ml import pstate
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from http.server import ThreadingHTTPServer, BaseHTTPRequestHandler
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from urllib.parse import urlparse, parse_qs
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ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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HTML = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'monitor.html')
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RUNS, DATA = 'ml/runs', 'ml/data'
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def jload(p):
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try:
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with open(p, encoding='utf-8') as f: return json.load(f)
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except Exception: return None
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def kind_of(name):
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if name.startswith('apg'): return 'apg'
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if name.startswith('bench'): return 'bench'
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return 'train'
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def list_runs():
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out = []
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for f in glob.glob(os.path.join(ROOT, RUNS, '*', 'log.jsonl')):
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d = os.path.basename(os.path.dirname(f)); st = os.stat(f)
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out.append({'name': d, 'kind': kind_of(d), 'size': st.st_size, 'mtime': st.st_mtime,
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'has_best': os.path.exists(os.path.join(os.path.dirname(f), 'best.pt')),
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'diverged': os.path.exists(os.path.join(os.path.dirname(f), 'diverged.pt'))})
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out.sort(key=lambda r: -r['mtime'])
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return out
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def read_log(name, offset):
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if not re.fullmatch(r'[\w.\-]+', name or ''): return {'error': 'bad run'}
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f = os.path.join(ROOT, RUNS, name, 'log.jsonl')
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if not os.path.exists(f): return {'error': 'no log'}
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size = os.path.getsize(f)
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if offset > size: offset = 0 # 日志被新训练覆盖 → 从头读
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recs = []
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with open(f, 'rb') as fh:
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fh.seek(offset); buf = fh.read(min(size - offset, 64 << 20))
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end = buf.rfind(b'\n') + 1 # 只取完整行，半行留到下次
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for line in buf[:end].decode('utf-8', 'replace').splitlines():
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if line.strip():
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try: recs.append(json.loads(line))
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except Exception: pass
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return {'records': recs, 'offset': offset + end, 'size': size, 'reset': offset == 0, 'mtime': os.path.getmtime(f)}
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_CPU = {'v': {}}
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class CpuSampler(threading.Thread):
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"""后台每秒阻塞采样一次 CPU。cpu_percent 是"距上次调用"的差值：放在请求里算，窗口取决于两次
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HTTP 请求的间隔（网页 1 秒轮询 + 手动 curl 会把它压成几毫秒，读数恒为 0）——所以单独一个线程按固定
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1 秒窗口取，status 只读最近一次。"""
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def __init__(self): super().__init__(daemon=True); self.start()
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def run(self):
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try:
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import psutil
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psutil.cpu_percent(interval=None, percpu=True) # 打桩：第一次恒为 0，丢掉
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while True:
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per = psutil.cpu_percent(interval=1.0, percpu=True)
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_CPU['v'] = {'total': round(sum(per) / max(1, len(per)), 1), 'per': [round(x) for x in per], 'n': len(per)}
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except Exception:
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_CPU['v'] = {}
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def cpu():
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return _CPU['v']
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_GPU_CACHE = {'t': 0.0, 'v': []}
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def gpu():
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# 网页 1 秒轮询：nvidia-smi 每次要 150–600 ms，缓存 2 秒（GPU 数字不需要更快），避免每轮都起子进程
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if time.time() - _GPU_CACHE['t'] < 2.0: return _GPU_CACHE['v']
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try:
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q = 'name,utilization.gpu,memory.used,memory.total,temperature.gpu,power.draw'
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r = subprocess.run(['nvidia-smi', f'--query-gpu={q}', '--format=csv,noheader,nounits'], capture_output=True, text=True, timeout=3)
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out = []
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for line in r.stdout.strip().splitlines():
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n, u, mu, mt, t, p = [x.strip() for x in line.split(',')]
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num = lambda x: float(x) if re.fullmatch(r'[\d.]+', x) else None
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out.append({'name': n, 'util': num(u), 'mem_used': num(mu), 'mem_total': num(mt), 'temp': num(t), 'power': num(p)})
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except Exception:
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out = []
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_GPU_CACHE.update(t=time.time(), v=out)
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return out
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def last_rec(name):
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"""读日志最后一条非评估记录（只读文件尾 16 KB）。"""
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f = os.path.join(ROOT, RUNS, name, 'log.jsonl')
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try:
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with open(f, 'rb') as fh:
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fh.seek(0, 2); n = fh.tell(); fh.seek(max(0, n - 16384)); tail = fh.read().decode('utf-8', 'replace').splitlines()
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for line in reversed(tail):
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try:
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r = json.loads(line)
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if 'eval' not in r: return r
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except Exception: pass
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except Exception: pass
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return None
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class LineCount:
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"""按文件增量数行：记住每个文件已读到的偏移与行数，只读新增字节（审查 N-9：此前每 5 s 全量重读全部 shard）。"""
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def __init__(self): self.c = {}; self.lock = threading.Lock()
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def count(self, f):
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with self.lock:
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try: size = os.path.getsize(f)
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except OSError: return 0
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off, n = self.c.get(f, (0, 0))
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if size < off: off, n = 0, 0
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if size > off:
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with open(f, 'rb') as fh:
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fh.seek(off)
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while True:
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b = fh.read(1 << 22)
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if not b: break
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n += b.count(b'\n'); off += len(b)
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self.c[f] = (off, n)
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return n
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LC = LineCount()
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def newer(pattern, t0):
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return [f for f in glob.glob(os.path.join(ROOT, pattern)) if os.path.getmtime(f) >= t0 - 1]
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def stage_progress(st, s):
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"""当前阶段的进度：返回 {'frac': 0..1 或 None（无法计量）, 'label': 文字}。"""
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t0, info = s['start'], s.get('info') or {}
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if st == 'gen':
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# 分子算全部（含之前轮次已完成的分片），分母是累计目标：补量时显示 50,008/79,688 而不是 0/79,688。
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# 2026-10-18 实测：只统计本轮开始后改过的文件会让"补量"看起来像从零开始。
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allf = glob.glob(os.path.join(ROOT, DATA, 'shard_*.jsonl')) + glob.glob(os.path.join(ROOT, DATA, 'shard_*.jsonl.part'))
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n = sum(LC.count(f) for f in allf)
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tgt = info.get('target_tasks') or 0
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new = sum(LC.count(f) for f in newer(f'{DATA}/shard_*.jsonl', t0) + newer(f'{DATA}/shard_*.jsonl.part', t0))
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lab = f'已生成 {n:,} / {tgt:,} 条任务' + (f'（本轮补 {new:,} 条）' if 0 < new < n else '')
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return {'frac': min(1, n / tgt) if tgt else None, 'label': lab}
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if st == 'prep':
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nsh = len(glob.glob(os.path.join(ROOT, DATA, 'shard_*.jsonl')))
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done = len(newer(f'{DATA}/samples/*.X.npy', t0))
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if os.path.exists(os.path.join(ROOT, DATA, 'r2.json')) and newer(f'{DATA}/r2.json', t0): return {'frac': 1, 'label': '打包完成，R2 检查完成'}
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return {'frac': min(0.95, done / nsh) if nsh else None, 'label': f'已打包 {done} / {nsh} 个分片' + ('，R2 检查中' if nsh and done >= nsh else '')}
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if st == 'train':
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tag, bs = info.get('tag', 'base'), info.get('bench_steps', 2000)
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b, m = last_rec(f'bench_{tag}') if newer(f'{RUNS}/bench_{tag}/log.jsonl', t0) else None, last_rec(tag) if newer(f'{RUNS}/{tag}/log.jsonl', t0) else None
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if m and m.get('total'):
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return {'frac': (bs + m['step']) / (bs + m['total']), 'label': f'正式训练 {m["step"]:,} / {m["total"]:,} 步', 'run': tag}
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if b: return {'frac': b['step'] / (bs + 60000), 'label': f'测速 {b["step"]:,} / {bs:,} 步', 'run': f'bench_{tag}'}
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return {'frac': 0, 'label': '加载数据中'}
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if st == 'apg':
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r = last_rec('apg') if newer(f'{RUNS}/apg/log.jsonl', t0) else None
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return {'frac': r['it'] / r['total'] if r and r.get('total') else 0, 'label': f'APG {r["it"]:,} / {r["total"]:,} 步' if r else '准备中', 'run': 'apg'}
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if st == 'mine':
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R = info.get('rounds', 6)
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k = len(newer(f'{RUNS}/mine/r*/gate.json', t0))
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cur = sorted(newer(f'{RUNS}/apg_r*/log.jsonl', t0), key=os.path.getmtime)
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frac_in, lab = 0, f'第 {k + 1} 轮：挖错出题'
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if cur and len(cur) > k:
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name = os.path.basename(os.path.dirname(cur[-1])); r = last_rec(name)
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if r and r.get('total'): frac_in = 0.3 + 0.6 * r['it'] / r['total']; lab = f'第 {k + 1} 轮：APG {r["it"]:,} / {r["total"]:,} 步'
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return {'frac': min(1, (k + frac_in) / R), 'label': f'{lab}（共最多 {R} 轮，提升不足会提前停）', 'run': name}
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return {'frac': min(1, k / R), 'label': f'{lab}（共最多 {R} 轮，提升不足会提前停）'}
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if st == 'm5':
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tag = info.get('tag', 'base')
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n = len(newer(f'{RUNS}/m5_{tag}_policy.json', t0)) + len(newer(f'{RUNS}/m5_{tag}_safety.json', t0))
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return {'frac': n / 2, 'label': ['纯策略评估中', '加安全层评估中', '汇总'][min(n, 2)]}
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return {'frac': None, 'label': '进行中'}
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def pipeline():
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d = jload(os.path.join(ROOT, RUNS, 'pipeline.json'))
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if not d: return None
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cur = d.get('current')
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if cur and cur in d['stages']:
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try: d['progress'] = stage_progress(cur, d['stages'][cur])
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except Exception as e: d['progress'] = {'frac': None, 'label': f'进度读取失败：{e}'}
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return d
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def status():
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P = lambda *a: os.path.join(ROOT, *a)
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mine = []
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for d in sorted(glob.glob(P(RUNS, 'mine', 'r*')), key=lambda x: int(re.sub(r'\D', '', os.path.basename(x)) or 0)):
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rep, gate = jload(os.path.join(d, 'report.json')), jload(os.path.join(d, 'gate.json'))
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if rep or gate:
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mine.append({'round': os.path.basename(d), 'report': rep and {k: rep.get(k) for k in ('n', 'E1', 'E2', 'E3', 'E4', 'E5', 'ok', 'pool')},
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'gate': gate and {k: gate.get(k) for k in ('gain_pp', 'A_drop_pp', 'fixed_kept', 'R7_left_share_shift_pp', 'R7_travel_median_ratio', 'accept')}})
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stats = jload(P(DATA, 'stats.json'))
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if stats: stats = {k: stats.get(k) for k in ('tasks', 'keep', 'gapDrop', 'minGapFilterMm', 'keepRate', 'samplesEvery3', 'samplesPerTask', 'projectedSamplesFor50k', 'consensusDrop', 'vertexMinGapMm', 'execS', 'travelDeg')}
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shards = glob.glob(P(DATA, 'shard_*.jsonl'))
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pl = pipeline()
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if pl and pl.get('current') == 'gen': # 只在生成阶段数行（增量）；其他阶段用 stats.json 的 tasks
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gen_lines = sum(LC.count(f) for f in shards + glob.glob(P(DATA, 'shard_*.jsonl.part')))
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else: gen_lines = (stats or {}).get('tasks') or 0
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pb = jload(P(RUNS, 'policy_bench.json'))
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if pb: pb = {k: {kk: v.get(kk) for kk in ('n', 'ok', 'reached', 'collisionFrames', 'brakeRate', 'recoveryRate', 'livelock', 'inferMsP99', 'safetyMsP99')}
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for k, v in pb.items() if isinstance(v, dict) and 'n' in v}
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return {'now': time.time(), 'gpu': gpu(), 'cpu': cpu(),
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'vram_budget_gb': float(os.environ.get('VRAM_BUDGET_GB', 20)), # 本机桌面常驻占 4–5 GB，给训练的预算 19–20 GB
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'pipeline': pl, 'check': CHECK.get(), 'lock': lock_info(), # 2026-10-18 第八轮修：上一版这三项被行尾注释吞掉，网页步骤条/锁状态拿不到
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'stage_meta': [{'id': k, 'name': n, 'est_h': h, 'timeout_h': pstate.TIMEOUT_H[k]} for k, n, h in pstate.STAGES],
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'r4': jload(P(RUNS, 'r4.json')),
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'data': {'consistency': (jload(P(DATA, 'consistency.json')) or {}).get('consistentByGateRule'),
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'gen_tasks_written': gen_lines, 'shards': len(shards), 'stats': stats,
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'index': jload(P(DATA, 'samples', 'index.json')), 'r2': jload(P(DATA, 'r2.json'))},
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'm5': [x for x in (jload(f) for f in sorted(glob.glob(P(RUNS, 'm5_gate_*.json')))) if x],
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'selected': open(P(RUNS, 'selected_ckpt')).read().strip() if os.path.exists(P(RUNS, 'selected_ckpt')) else None,
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'mine': mine, 'bench': pb, 'acceptance': jload(P(RUNS, 'acceptance.json'))}
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STAGES = pstate.ORDER
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ENV_KEYS = {'N_TASKS': r'\d+', 'NPROC': r'\d+', 'TARGET_SAMPLES': r'\d+', 'CFG': r'ml/configs/(base|wta|small)\.json',
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'CONSENSUS': r'[01]?', 'ROUNDS': r'\d+', 'APG_STEPS': r'\d+', 'MINE_N': r'\d+', 'MIN_GAP_MM': r'\d+(\.\d+)?',
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'FRESH': r'[01]', 'R2_STRICT': r'[01]', 'AUTO_WTA': r'[01]'}
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CONSOLE = os.path.join(ROOT, RUNS, 'console.log')
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def find_bash():
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"""Windows 优先 Git Bash（System32\\bash.exe 是 WSL，不能用）；其他系统用 PATH 里的 bash。"""
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if os.name == 'nt':
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for p in [os.environ.get('BASH', ''), r'C:\Program Files\Git\bin\bash.exe', r'C:\Program Files (x86)\Git\bin\bash.exe',
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os.path.expandvars(r'%LOCALAPPDATA%\Programs\Git\bin\bash.exe')]:
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if p and os.path.exists(p): return p
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g = shutil.which('git')
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if g:
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root = os.path.dirname(os.path.dirname(g)) # 便携版 git 常放在 <根>\mingw64\bin\git.exe，要再上一层才找到 bash
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for base in dict.fromkeys([root, os.path.dirname(root)]):
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for sub in ('bin', os.path.join('usr', 'bin')):
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p = os.path.join(base, sub, 'bash.exe')
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if os.path.exists(p): return p
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b = shutil.which('bash')
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if b and 'windows\\system32' not in b.lower(): return b
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return None
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return shutil.which('bash')
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def train_python():
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"""流水线用的 Python：尊重 PYTHON 环境变量（与 console.sh / console.bat 一致），否则用控制台自己的解释器。"""
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return os.environ.get('PYTHON') or sys.executable
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class SelfCheck:
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"""启动自检（审查 N-10）：在后台线程跑一次，结果缓存；「开始训练」前不过就拒绝，网页顶栏显示。"""
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def __init__(self): self.r = {'pending': True}; threading.Thread(target=self.run, daemon=True).start()
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def run(self):
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py = train_python(); r = {'python': py, 'bash': find_bash(), 'node': shutil.which('node')}
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try:
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o = subprocess.run([py, '-c', 'import json,torch;c=torch.cuda.is_available();print(json.dumps({"torch":torch.__version__,"cuda":c,"gpu":torch.cuda.get_device_name(0) if c else None}))'],
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capture_output=True, text=True, timeout=120)
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r.update(json.loads(o.stdout.strip().splitlines()[-1]) if o.returncode == 0 else {'torch': None, 'torch_error': (o.stderr or o.stdout).strip()[-300:]})
|
||
except Exception as e: r.update(torch=None, torch_error=str(e))
|
||
probs = []
|
||
if not r.get('torch'): probs.append(f'这个 Python 没有 torch：{py}（先激活训练环境再启动控制台，或设 PYTHON=...）')
|
||
if not r['bash']: probs.append('找不到 bash：Windows 请安装 Git for Windows（自带 Git Bash）')
|
||
if not r['node']: probs.append('找不到 node')
|
||
if r.get('torch') and not r.get('cuda'): r['warn'] = 'torch 看不到 GPU，训练会极慢'
|
||
r['problems'] = probs; r['ok'] = not probs
|
||
self.r = r
|
||
|
||
def get(self): return self.r
|
||
|
||
|
||
def lock_info():
|
||
lk = pstate.lock_read()
|
||
if not lk: return None
|
||
return dict(lk, alive=pstate.lock_alive(lk), age_s=time.time() - lk.get('beat', 0))
|
||
|
||
|
||
def kill_session(sid):
|
||
"""POSIX：结束会话 sid 里的所有进程（含 timeout 另起的进程组）。"""
|
||
pids = []
|
||
for d in os.listdir('/proc') if os.path.isdir('/proc') else []:
|
||
if d.isdigit():
|
||
try:
|
||
if os.getsid(int(d)) == sid: pids.append(int(d))
|
||
except Exception: pass
|
||
if not pids:
|
||
try: os.killpg(sid, signal.SIGTERM)
|
||
except Exception: pass
|
||
return
|
||
for p in pids:
|
||
try: os.kill(p, signal.SIGTERM)
|
||
except Exception: pass
|
||
|
||
|
||
class Job:
|
||
def __init__(self):
|
||
self.p = None; self.info = {}; self.lock = threading.Lock()
|
||
|
||
def state(self):
|
||
with self.lock:
|
||
run = self.p is not None and self.p.poll() is None
|
||
if self.p is not None and not run and self.info.get('rc') is None:
|
||
self.info['rc'] = self.p.returncode; self.info['ended'] = time.time()
|
||
lk = lock_info()
|
||
ext = bool(lk and lk['alive']) and not run # 终端或上一个控制台窗口起的流水线
|
||
return {'running': run or ext, 'external': ext, 'lock': lk, **self.info, 'bash': find_bash() is not None}
|
||
|
||
def start(self, frm, to, env):
|
||
with self.lock:
|
||
if self.p is not None and self.p.poll() is None: return {'error': '已经在运行'}
|
||
lk = lock_info()
|
||
if lk and lk['alive']:
|
||
return {'error': f"已有一条流水线在运行（{lk.get('owner')}，pid {lk.get('pid')}，{lk['age_s']:.0f} s 前心跳）；先停止它"}
|
||
ck = CHECK.get()
|
||
if ck.get('pending'): return {'error': '环境自检还没完成，稍等几秒再点'}
|
||
if not ck.get('ok'): return {'error': '环境自检未通过：' + '；'.join(ck['problems'])}
|
||
if frm not in STAGES or to not in STAGES or STAGES.index(frm) > STAGES.index(to): return {'error': '起止阶段无效'}
|
||
bash = find_bash()
|
||
e = dict(os.environ, FROM=frm, TO=to, MONITOR='0', PYTHONUNBUFFERED='1', PYTHONIOENCODING='utf-8', PYTHONUTF8='1', PIPE_OWNER='网页')
|
||
py = train_python()
|
||
if ' ' not in py: e['PYTHON'] = py.replace('\\', '/')
|
||
for k, v in (env or {}).items():
|
||
if k in ENV_KEYS and v not in (None, '') and re.fullmatch(ENV_KEYS[k], str(v)): e[k] = str(v)
|
||
os.makedirs(os.path.dirname(CONSOLE), exist_ok=True)
|
||
shown = ' '.join(f'{k}={e[k]}' for k in ('FRESH', 'FROM', 'TO') if k in e)
|
||
with open(CONSOLE, 'w', encoding='utf-8') as f: f.write(f'$ {shown} bash ml/pipeline.sh all [{time.strftime("%Y-%m-%d %H:%M:%S")}]\n')
|
||
log = open(CONSOLE, 'a', encoding='utf-8') # 追加模式：网页写入的"已停止"提示不会被子进程覆盖
|
||
# Windows：CREATE_NO_WINDOW 给子进程树一个隐藏的独立控制台 → 关掉控制台黑窗口不会连带杀训练（审查 N-11）
|
||
kw = {'creationflags': subprocess.CREATE_NEW_PROCESS_GROUP | 0x08000000} if os.name == 'nt' else {'start_new_session': True}
|
||
self.p = subprocess.Popen([bash, 'ml/pipeline.sh', 'all'], cwd=ROOT, env=e, stdout=log, stderr=subprocess.STDOUT, stdin=subprocess.DEVNULL, **kw)
|
||
self.info = {'pid': self.p.pid, 'from': frm, 'to': to, 'started': time.time(), 'rc': None, 'ended': None,
|
||
'env': {k: e[k] for k in ENV_KEYS if k in e}}
|
||
return {'ok': True, 'pid': self.p.pid}
|
||
|
||
def stop(self):
|
||
# 2026-10-18 体面停止：训练类阶段先写 ml/runs/STOP，等训练进程自己存 last.pt 并退出（最多 90 s），再硬杀剩下的。
|
||
# Windows 的 taskkill /F 收不到信号，不这样做会丢掉上次存档之后的进度。生成/打包本身按 shard/条断点续，直接杀。
|
||
with self.lock:
|
||
ours = self.p is not None and self.p.poll() is None
|
||
lk = lock_info()
|
||
if not ours and not (lk and lk['alive']): return {'error': '没有在运行'}
|
||
pid = self.p.pid if ours else int(lk.get('pid') or 0)
|
||
if not pid: return {'error': '锁里没有 pid，无法停止'}
|
||
cur = (pstate.load().get('current') or '')
|
||
if cur in ('train', 'm5', 'apg', 'mine'):
|
||
open(STOPF, 'w').write(time.strftime('%H:%M:%S'))
|
||
with open(CONSOLE, 'a', encoding='utf-8') as f: f.write(f'\n[停止请求已发出，等待 {cur} 存档 last.pt…]\n')
|
||
for _ in range(180):
|
||
time.sleep(0.5)
|
||
l2 = pstate.lock_read()
|
||
if (self.p is not None and self.p.poll() is not None) if ours else not (l2 and pstate.lock_alive(l2)): break
|
||
with self.lock:
|
||
if os.name == 'nt':
|
||
subprocess.run(['taskkill', '/T', '/F', '/PID', str(pid)], capture_output=True)
|
||
# Git Bash 下 taskkill /T 只杀到 bash，node 孙进程会逃掉（2026-10-18 实测：点了停止还有 28 个
|
||
# gen_dataset 在跑）。按命令行补扫：只动本仓库 ml/ 下的脚本，绝不碰用户自己的 node 进程。
|
||
try:
|
||
q = ("Get-CimInstance Win32_Process -Filter \"Name='node.exe'\" | "
|
||
"Where-Object { $_.CommandLine -match 'gen_dataset\\.cjs|run_parallel\\.sh|teacher\\.cjs|policy_bench\\.cjs' } | "
|
||
"ForEach-Object { Stop-Process -Id $_.ProcessId -Force -ErrorAction SilentlyContinue }")
|
||
subprocess.run(['pwsh', '-NoProfile', '-Command', q], capture_output=True, timeout=60)
|
||
except Exception: pass
|
||
else:
|
||
if ours:
|
||
kill_session(pid)
|
||
try: self.p.wait(15)
|
||
except subprocess.TimeoutExpired: kill_session(pid); self.p.kill()
|
||
else: # 只动它自己的会话 / 进程组，绝不按会话杀到用户的终端
|
||
try:
|
||
if os.getsid(pid) == pid: kill_session(pid)
|
||
elif os.getpgid(pid) == pid: os.killpg(pid, signal.SIGTERM)
|
||
else: os.kill(pid, signal.SIGTERM)
|
||
except ProcessLookupError: pass
|
||
self.info['stopped'] = True
|
||
with open(CONSOLE, 'a', encoding='utf-8') as f: f.write(f'\n[已在网页上停止 {time.strftime("%H:%M:%S")}]\n')
|
||
time.sleep(0.5)
|
||
pstate.mark_stopped(-15) # 当前阶段记为"已停止"、释放锁（单一写者）
|
||
try: os.remove(STOPF)
|
||
except FileNotFoundError: pass
|
||
return {'ok': True}
|
||
|
||
|
||
STOPF = os.path.join(ROOT, 'ml', 'runs', 'STOP') # 与 ml/common/ckpt.py 的 STOP 同一文件
|
||
JOB = Job()
|
||
CHECK = None # main() 里创建（自检要等 find_bash 定义完）
|
||
|
||
|
||
def console(offset):
|
||
if not os.path.exists(CONSOLE): return {'text': '', 'offset': 0, 'reset': True}
|
||
size = os.path.getsize(CONSOLE); reset = offset > size or offset == 0
|
||
if reset: offset = max(0, size - 65536) # 首次只给最后 64 KB
|
||
with open(CONSOLE, 'rb') as f: f.seek(offset); b = f.read(min(size - offset, 1 << 20))
|
||
return {'text': b.decode('utf-8', 'replace').replace('\r', ''), 'offset': offset + len(b), 'reset': reset}
|
||
|
||
|
||
class H(BaseHTTPRequestHandler):
|
||
def log_message(self, *a): pass
|
||
|
||
def send(self, code, body, ctype):
|
||
b = body if isinstance(body, bytes) else body.encode('utf-8')
|
||
self.send_response(code); self.send_header('Content-Type', ctype); self.send_header('Content-Length', str(len(b)))
|
||
self.send_header('Cache-Control', 'no-store'); self.end_headers(); self.wfile.write(b)
|
||
|
||
def do_GET(self):
|
||
u = urlparse(self.path); q = parse_qs(u.query)
|
||
try:
|
||
if u.path in ('/', '/index.html'):
|
||
with open(HTML, 'rb') as f: return self.send(200, f.read(), 'text/html; charset=utf-8')
|
||
if u.path == '/api/runs': return self.send(200, json.dumps(list_runs()), 'application/json')
|
||
if u.path == '/api/log':
|
||
return self.send(200, json.dumps(read_log(q.get('run', [''])[0], int(q.get('offset', ['0'])[0]))), 'application/json')
|
||
if u.path == '/api/status': return self.send(200, json.dumps(status()), 'application/json')
|
||
if u.path == '/api/job': return self.send(200, json.dumps(JOB.state()), 'application/json')
|
||
if u.path == '/api/console': return self.send(200, json.dumps(console(int(q.get('offset', ['0'])[0]))), 'application/json')
|
||
self.send(404, 'not found', 'text/plain')
|
||
except Exception as e:
|
||
self.send(500, json.dumps({'error': str(e)}), 'application/json')
|
||
|
||
|
||
def do_POST(self):
|
||
u = urlparse(self.path)
|
||
if not (self.server.remote_control or self.client_address[0] in ('127.0.0.1', '::1')):
|
||
return self.send(403, json.dumps({'error': '开始/停止只接受本机操作'}), 'application/json')
|
||
# 审查 N-8：本机任意网页都能向 localhost 发 POST（源地址同为 127.0.0.1）。要求自定义头（跨站请求会触发 CORS 预检，
|
||
# 本服务不应答 OPTIONS → 浏览器不发），并且 Origin / Sec-Fetch-Site 若存在必须同源。
|
||
org, sfs, host = self.headers.get('Origin'), self.headers.get('Sec-Fetch-Site'), self.headers.get('Host', '')
|
||
if self.headers.get('X-Console') != '1' or (sfs and sfs not in ('same-origin', 'none')) or \
|
||
(org and urlparse(org).netloc not in (host, f'localhost:{self.server.server_port}', f'127.0.0.1:{self.server.server_port}')):
|
||
return self.send(403, json.dumps({'error': '拒绝：非本控制台页面发起的请求'}), 'application/json')
|
||
try:
|
||
n = int(self.headers.get('Content-Length') or 0); body = json.loads(self.rfile.read(n) or b'{}')
|
||
if u.path == '/api/start':
|
||
env = dict(body.get('env') or {})
|
||
if body.get('fresh'): env['FRESH'] = '1'
|
||
r = JOB.start(body.get('from', 'kin'), body.get('to', 'accept'), env)
|
||
elif u.path == '/api/stop': r = JOB.stop()
|
||
else: return self.send(404, 'not found', 'text/plain')
|
||
self.send(200 if 'ok' in r else 409, json.dumps(r, ensure_ascii=False), 'application/json')
|
||
except Exception as e:
|
||
self.send(500, json.dumps({'error': str(e)}), 'application/json')
|
||
|
||
|
||
def main():
|
||
ap = argparse.ArgumentParser()
|
||
ap.add_argument('--port', type=int, default=8100); ap.add_argument('--host', default='127.0.0.1')
|
||
ap.add_argument('--open', action='store_true', help='启动后自动打开浏览器')
|
||
ap.add_argument('--remote-control', action='store_true', help='允许其他机器点开始/停止（默认只能看）')
|
||
a = ap.parse_args()
|
||
global CHECK
|
||
CHECK = SelfCheck()
|
||
CPUS = CpuSampler() # 每秒采一次 CPU（线程常驻，status 只读最近一次）
|
||
srv = ThreadingHTTPServer((a.host, a.port), H); srv.remote_control = a.remote_control
|
||
url = f'http://localhost:{a.port}/'
|
||
print(f'训练控制台：{url} （关闭本窗口只关控制台，已开始的训练继续跑；重新打开控制台即可接着看、可停止）', flush=True)
|
||
if a.open: threading.Timer(0.8, lambda: webbrowser.open(url)).start()
|
||
try: srv.serve_forever()
|
||
except KeyboardInterrupt: pass
|
||
|
||
|
||
if __name__ == '__main__':
|
||
main()
|