bvandeusen
be4654fc72
- Add HTTP monitor plugin: endpoint checking with status history, latency tracking, time-range views - Add SNMP plugin: OID polling, device management, metric recording - Add Docker plugin: container status, resource usage, widget - Traefik: access log widget, request chart widget, expanded routes - UniFi: clients widget, devices widget, expanded poll routes - UPS: history widget, additional routes - Update plugin index with new entries Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
94 lines
3.3 KiB
Python
94 lines
3.3 KiB
Python
# plugins/docker/scheduler.py
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from __future__ import annotations
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import json
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import logging
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from datetime import datetime, timezone
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from fabledscryer.core.scheduler import ScheduledTask
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from fabledscryer.core.alerts import record_metric
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logger = logging.getLogger(__name__)
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def make_task(app) -> ScheduledTask:
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interval = int(
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app.config["PLUGINS"]["docker"].get("scrape_interval_seconds", 60)
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)
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async def scrape():
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await _do_scrape(app)
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return ScheduledTask(
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name="docker_scrape",
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coro_factory=scrape,
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interval_seconds=interval,
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run_on_startup=True,
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)
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async def _do_scrape(app) -> None:
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from .scraper import scrape_docker
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from .models import DockerContainer, DockerMetric
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cfg = app.config["PLUGINS"]["docker"]
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socket_path = cfg.get("socket_path", "/var/run/docker.sock")
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include_stopped = bool(cfg.get("include_stopped", False))
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try:
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containers = await scrape_docker(socket_path, include_stopped)
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except ConnectionError as exc:
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logger.error("Docker scrape failed: %s", exc)
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return
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except Exception:
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logger.exception("Docker scrape error")
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return
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now = datetime.now(timezone.utc)
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async with app.db_sessionmaker() as session:
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async with session.begin():
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for c in containers:
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# Upsert container state
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existing = await session.get(DockerContainer, c["name"])
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if existing is None:
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existing = DockerContainer(name=c["name"])
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session.add(existing)
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existing.container_id = c["container_id"]
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existing.image = c["image"]
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existing.status = c["status"]
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existing.cpu_pct = c["cpu_pct"]
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existing.mem_usage_bytes = c["mem_usage_bytes"]
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existing.mem_limit_bytes = c["mem_limit_bytes"]
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existing.mem_pct = c["mem_pct"]
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existing.restart_count = c["restart_count"]
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existing.ports_json = json.dumps(c["ports"])
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existing.started_at = c["started_at"]
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existing.scraped_at = now
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# Time-series metric (running containers only)
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if c["status"] == "running" and c["cpu_pct"] is not None:
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session.add(DockerMetric(
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container_name=c["name"],
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scraped_at=now,
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cpu_pct=c["cpu_pct"],
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mem_pct=c["mem_pct"] or 0.0,
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mem_usage_bytes=c["mem_usage_bytes"] or 0,
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))
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# Feed alert pipeline
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await record_metric(
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session=session,
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source_module="docker",
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resource_name=c["name"],
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metric_name="cpu_pct",
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value=c["cpu_pct"],
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)
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if c["mem_pct"] is not None:
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await record_metric(
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session=session,
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source_module="docker",
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resource_name=c["name"],
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metric_name="mem_pct",
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value=c["mem_pct"],
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)
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