FabledCurator can now tell you one of its own parts has stopped #250

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bvandeusen merged 3 commits from dev into main 2026-09-02 18:01:39 -04:00
2 changed files with 194 additions and 0 deletions
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@@ -38,6 +38,7 @@ def all_blueprints() -> list[Blueprint]:
from .suggestions import suggestions_bp
from .system_activity import system_activity_bp
from .system_backup import system_backup_bp
from .system_health import system_health_bp
from .tags import tags_bp
from .thumbnails import thumbnails_bp
return [
@@ -51,6 +52,7 @@ def all_blueprints() -> list[Blueprint]:
showcase_bp,
settings_bp,
system_activity_bp,
system_health_bp,
system_backup_bp,
admin_bp,
cleanup_bp,
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@@ -0,0 +1,192 @@
"""Is every part of FabledCurator running? One verdict, one endpoint.
Milestone 365. The nav indicator and the System page both read this and
nothing else — composing a verdict is this module's job, not the UI's.
## Two kinds of part, answered two different ways
**Learned** — celery roles and the GPU agent, from `service_seen`. The
question is "how long since it checked in", and these are the parts that can
be ABSENT, which is the whole point: `celery inspect` alone reports presence,
so a dead worker is a shorter list rather than a red light.
**Probed live** — Postgres and Redis. Always expected, never learned, and a
last-seen for them would be actively misleading: that Redis answered thirty
seconds ago says nothing about now.
## This endpoint must never fail because something it checks has failed
The inversion is easy to write by accident and it destroys the feature exactly
when it is needed — a 500 when Redis is down, instead of `redis: down`. Every
probe is wrapped, every wait has a deadline (rule 156), and the roster refresh
swallows its own errors. The worst case is a part reported `unknown`, which is
a true statement.
"""
from __future__ import annotations
import asyncio
import logging
import time
from datetime import UTC, datetime
from quart import Blueprint, jsonify
from sqlalchemy import select, text
from ..config import get_config
from ..extensions import get_session
from ..models import ServiceSeen
from ..services.service_roster import refresh_if_stale
log = logging.getLogger(__name__)
system_health_bp = Blueprint("system_health", __name__, url_prefix="/api/system")
# How long a learned part may go quiet before it is doubted, then disbelieved.
#
# These are deliberately generous, and the reason is a deploy rather than a
# worker: `docker compose up -d` rolls start-first, so a role is briefly served
# by two containers and then by neither while the old one drains. Thresholds
# tight enough to catch a crash in seconds would paint the page red every time
# the stack is updated, and an alarm that cries wolf on every deploy is one
# nobody reads. Tune down only after watching a real deploy pass through.
STALE_AFTER_SECONDS = 90
DOWN_AFTER_SECONDS = 300
# Probes cross a process boundary, so they carry deadlines. A hung Postgres
# must make this endpoint say "postgres: down", not hang alongside it.
PROBE_TIMEOUT_SECONDS = 2.0
_OK, _STALE, _DOWN, _UNKNOWN = "ok", "stale", "down", "unknown"
# Worst-first, so an overall verdict is just the max.
_SEVERITY = {_OK: 0, _UNKNOWN: 1, _STALE: 2, _DOWN: 3}
def _age_state(age_seconds: float) -> str:
if age_seconds >= DOWN_AFTER_SECONDS:
return _DOWN
if age_seconds >= STALE_AFTER_SECONDS:
return _STALE
return _OK
def _describe_learned(name: str, state: str, age: float, details: dict) -> str:
"""Say what the state MEANS. A red chip tells an operator less than a
sentence does at the moment they are deciding whether to go and look."""
if state == _OK:
replicas = details.get("replicas")
if replicas and replicas > 1:
return f"{name} is running ({replicas} replicas)"
return f"{name} is running"
mins = int(age // 60)
ago = f"{mins} min" if mins else f"{int(age)}s"
if state == _STALE:
return f"{name} has not checked in for {ago}"
return f"{name} has not checked in for {ago} — treat it as stopped"
async def _probe_postgres(session) -> dict:
started = time.monotonic()
try:
await asyncio.wait_for(
session.execute(text("SELECT 1")), timeout=PROBE_TIMEOUT_SECONDS
)
except Exception as exc: # noqa: BLE001 — a probe reports, it never raises
return {
"key": "postgres", "kind": "datastore", "name": "PostgreSQL",
"state": _DOWN, "detail": f"not answering: {type(exc).__name__}",
}
return {
"key": "postgres", "kind": "datastore", "name": "PostgreSQL", "state": _OK,
"detail": "answering", "latency_ms": round((time.monotonic() - started) * 1000, 1),
}
def _ping_redis_sync() -> None:
import redis # local import; mirrors system_activity's pattern
client = redis.Redis.from_url(
get_config().celery_broker_url,
socket_connect_timeout=PROBE_TIMEOUT_SECONDS,
socket_timeout=PROBE_TIMEOUT_SECONDS,
)
client.ping()
async def _probe_redis() -> dict:
started = time.monotonic()
try:
await asyncio.wait_for(
asyncio.to_thread(_ping_redis_sync), timeout=PROBE_TIMEOUT_SECONDS * 2
)
except Exception as exc: # noqa: BLE001
return {
"key": "redis", "kind": "datastore", "name": "Redis",
"state": _DOWN,
"detail": f"not answering: {type(exc).__name__} — queues and workers "
f"cannot be reached either",
}
return {
"key": "redis", "kind": "datastore", "name": "Redis", "state": _OK,
"detail": "answering", "latency_ms": round((time.monotonic() - started) * 1000, 1),
}
@system_health_bp.route("/health", methods=["GET"])
async def system_health():
"""Every part, its state, and one overall verdict.
Response: {overall, parts: [{key, kind, name, state, detail, last_seen_at,
…}], checked_at}
"""
parts: list[dict] = []
now = datetime.now(UTC)
async with get_session() as session:
# Postgres first, and if it is unreachable nothing else can be read —
# say so rather than failing, because "the database is down" is the
# single most useful thing this endpoint can ever report.
pg = await _probe_postgres(session)
parts.append(pg)
if pg["state"] == _OK:
# Rate-limited inside; see service_roster on why the web process
# is the right observer.
try:
await refresh_if_stale(session)
await session.commit()
except Exception: # noqa: BLE001
log.warning("system health: roster refresh failed", exc_info=True)
rows = (
await session.execute(select(ServiceSeen).order_by(ServiceSeen.display_name))
).scalars().all()
for row in rows:
age = (now - row.last_seen_at).total_seconds()
state = _age_state(age)
parts.append({
"key": row.key,
"kind": row.kind,
"name": row.display_name,
"state": state,
"detail": _describe_learned(row.display_name, state, age, row.details or {}),
"last_seen_at": row.last_seen_at.isoformat(),
"first_seen_at": row.first_seen_at.isoformat(),
**{k: v for k, v in (row.details or {}).items() if k != "agent_id"},
})
parts.append(await _probe_redis())
overall = max((p["state"] for p in parts), key=lambda s: _SEVERITY[s], default=_UNKNOWN)
return jsonify({
"overall": overall,
"parts": sorted(parts, key=lambda p: (-_SEVERITY[p["state"]], p["name"])),
"checked_at": now.isoformat(),
# So the UI can explain a `stale` without hard-coding the same numbers
# in a second place.
"thresholds": {
"stale_after_seconds": STALE_AFTER_SECONDS,
"down_after_seconds": DOWN_AFTER_SECONDS,
},
})