istrain
559caead36
Public community release. The complete working system — DSP + decoders (scripts/), web dashboard + API (dashboard/), container stack (docker/), config templates (config/) — plus APOCALYPSE-EDITION.md, the full build guide for a human or a coding agent. GPLv3 (PyEOT dependency). Scrubbed of all secrets, internal IPs, hostnames, and location detail. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
49 lines
2.7 KiB
Python
49 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""istrain — Mill supervisor probe. Runs on the TrueNAS HOST via cron (every minute, root):
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docker state -> data/supervisor.json in the dashboard's snapshot shape, so the supervisor card
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tells Docker-era truth (it snapshotted the VM's systemd units until 2026-07-18). Read-only:
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can_ctl=false on every row — site control buttons are parked until a docker control relay exists
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(MILL-MIGRATION.md open item). Atomic write; stdlib only (host python3, no pip)."""
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import json, os, subprocess, tempfile, time
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STACK = "/mnt/.ix-apps/app_mounts/dockge/stacks/istrain"
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OUT = os.path.join(STACK, "data", "supervisor.json")
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# (container, name, job) — mirrors the VM card's rows; names kept identical where the role carried over.
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ROLES = [
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("istrain-web", "Dashboard", "serves this dashboard + data API (Mill :3456, the Cloudflare origin)"),
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("istrain-scanhop", "UHF · 1001", "dongle 1001: 452 ⇄ 457 retune-in-place hop → BOT/EOT/MID logs + clips + live meter"),
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("istrain-airband", "Voice · 1002", "dongle 1002: rail voice, 5 NS channels → mp3 clips + heard log"),
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("istrain-worker", "Transcribe", "voice clips → whisper on this box (:9000) → sidecars + transcripts log"),
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("istrain-eot-decode", "EOT decode", "eot_clips → unit/telemetry; enriches eot.jsonl (never culls)"),
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("istrain-bot-recover", "BOT recover", "bot_clips → clean head-end frame; enriches bot.jsonl (never culls)"),
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("istrain-trim", "Trim", "hourly voice-clip prune (>24h) — heard.jsonl ingest-gated, detections kept"),
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("istrain-whisper", "Whisper ASR", "faster-whisper small.en (istrain-whisper stack, :9000)"),
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]
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DOTS = {"running": ("active", "listening"), "restarting": ("failed", "stalled"),
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"paused": ("inactive", "held"), "exited": ("inactive", "offline")}
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def main():
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out = subprocess.run(["docker", "ps", "-a", "--format", "{{.Names}}\t{{.State}}\t{{.Status}}"],
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capture_output=True, text=True).stdout
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have = {}
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for ln in out.splitlines():
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p = ln.split("\t")
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if len(p) >= 3:
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have[p[0]] = (p[1], p[2])
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units = []
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for cid, name, job in ROLES:
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state, status = have.get(cid, ("absent", "no container"))
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st, dot = DOTS.get(state, ("inactive", "offline"))
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units.append({"id": cid, "name": name, "kind": "service", "job": job,
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"dot": dot, "state": st, "detail": status, "since": "", "can_ctl": False})
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snap = {"units": units, "ts": time.time(), "controls": False}
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fd, tmp = tempfile.mkstemp(dir=os.path.dirname(OUT))
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with os.fdopen(fd, "w") as f:
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json.dump(snap, f)
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os.replace(tmp, OUT)
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if __name__ == "__main__":
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main()
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