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a100_20260502 / scripts /eta_monitor.py
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#!/usr/bin/env python3
import datetime as dt
import glob
import json
import os
import re
import sys
import time
def hms_to_seconds(value):
parts = [int(part) for part in value.split(":")]
if len(parts) == 2:
return parts[0] * 60 + parts[1]
if len(parts) == 3:
return parts[0] * 3600 + parts[1] * 60 + parts[2]
return None
def fmt_duration(seconds):
seconds = max(0, int(seconds))
days, rem = divmod(seconds, 86400)
hours, rem = divmod(rem, 3600)
minutes, _ = divmod(rem, 60)
if days:
return f"{days}d {hours}h {minutes}m"
if hours:
return f"{hours}h {minutes}m"
return f"{minutes}m"
def parse_train_log(train_log):
if not os.path.exists(train_log):
return None
with open(train_log, "rb") as f:
f.seek(0, os.SEEK_END)
f.seek(max(0, f.tell() - 1024 * 1024))
text = f.read().decode("utf-8", errors="replace").replace("\r", "\n")
matches = re.findall(
r"Train:\s+[^|]*\|\s*(\d+)/(\d+)\s*\[([0-9:]+)<([0-9:]+),\s*([0-9.]+)s/it\]",
text,
)
if not matches:
return None
step, total, elapsed, remaining, speed = matches[-1]
return {
"source": "train.log",
"step": int(step),
"total": int(total),
"elapsed_s": hms_to_seconds(elapsed),
"remaining_s": hms_to_seconds(remaining),
"speed_s_it": float(speed),
}
def parse_logging_jsonl(run_dir):
files = glob.glob(os.path.join(run_dir, "v*-*", "logging.jsonl"))
if not files:
return None
latest = max(files, key=os.path.getmtime)
last = None
with open(latest, encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
last = line
if not last:
return None
obj = json.loads(last)
match = re.match(r"(\d+)/(\d+)", str(obj.get("global_step/max_steps", "")))
if not match:
return None
step, total = map(int, match.groups())
speed = obj.get("train_speed(s/it)")
remaining = (total - step) * float(speed) if speed else None
return {
"source": "logging.jsonl",
"step": step,
"total": total,
"elapsed_s": None,
"remaining_s": remaining,
"speed_s_it": float(speed) if speed else None,
}
def estimate(run_dir):
train_log = os.path.join(run_dir, "train.log")
progress = parse_train_log(train_log) or parse_logging_jsonl(run_dir)
now = dt.datetime.now()
if progress is None:
return f"[{now:%F %T}] no_progress run_dir={run_dir}"
step = progress["step"]
total = progress["total"]
speed = progress["speed_s_it"]
remaining = progress["remaining_s"]
if remaining is None and speed is not None:
remaining = (total - step) * speed
finish = now + dt.timedelta(seconds=remaining or 0)
pct = 100.0 * step / total if total else 0.0
speed_text = f"{speed:.2f}s/it" if speed is not None else "n/a"
status = "done" if total and step >= total else "running"
return (
f"[{now:%F %T}] status={status} step={step}/{total} ({pct:.2f}%) "
f"speed={speed_text} remaining={fmt_duration(remaining or 0)} "
f"finish={finish:%F %T} source={progress['source']}"
)
def main():
run_dir, log_path, latest_path = sys.argv[1:4]
interval = int(os.environ.get("ETA_MONITOR_INTERVAL", "300"))
with open(log_path, "a", encoding="utf-8") as log:
log.write(f"\n--- ETA monitor started {dt.datetime.now():%F %T}; interval={interval}s; run_dir={run_dir} ---\n")
while True:
line = estimate(run_dir)
with open(log_path, "a", encoding="utf-8") as log:
log.write(line + "\n")
with open(latest_path, "w", encoding="utf-8") as latest:
latest.write(line + "\n")
if "status=done" in line:
break
time.sleep(interval)
if __name__ == "__main__":
main()