bvandeusenandClaude Opus 5.5
3c24c633df
- One run per host: start_run claims every host it touches (addresses read from the inventory Steward wrote; a source's own inventory file is claimed as that file) before it takes a run slot. The claim is all-or-nothing. A run waiting on a host shows queued and names the run it waits for, honours a cancel, and fails after HOST_WAIT_SECONDS (1 h) with which host and run. - A due schedule whose previous run is still queued or running skips the firing: last_run_at moves on, last_run_id still names the run going, and last_error says "Skipped: the previous run was still going". The Schedules page shows that beside the run (muted), and a launch error in red. - An alert rule that fires while the action run from an earlier firing is still going starts no new run; the event says so and names the run. An in-process set closes the gap between the check and the run being linked. - docs/core/ansible.md: queued/cancelled statuses and the overlap rules. Tests: tests/core/test_ansible_overlap.py (claim keys, waiting, all-or-nothing, cancel, deadline) and tests/integration/test_ansible_overlap.py (two real runs on one host take turns; schedule skip then fire; alert action skip then start). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
667 lines
26 KiB
Python
667 lines
26 KiB
Python
from __future__ import annotations
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import asyncio
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import logging
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import uuid
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from dataclasses import dataclass
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from datetime import datetime, timedelta, timezone
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from typing import TYPE_CHECKING
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from sqlalchemy import event as sa_event, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from steward.models.alerts import (
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AlertEvent,
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AlertOperator,
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AlertRule,
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AlertState,
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AlertStateEnum,
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MaintenanceWindow,
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)
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from steward.core.formatting import human_duration
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from steward.models.metrics import PluginMetric
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if TYPE_CHECKING:
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from quart import Quart
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logger = logging.getLogger(__name__)
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_app: "Quart | None" = None
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def init_alerts(app: "Quart") -> None:
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"""Store app reference for use in notification dispatch tasks."""
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global _app
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_app = app
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def alert_extra_vars(rule: AlertRule, value: float) -> dict:
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"""Ansible extra-vars describing the alert that fired.
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Injected into every alert-triggered playbook run so the playbook can target
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the exact resource/metric that fired without templating. They reach
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ansible-playbook in its JSON extra-vars file, not as `-e key=value`, which
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Ansible splits on whitespace: a rule named "High CPU on web" stays one
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value (#5157). Pure function.
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"""
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return {
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"steward_alert_rule": rule.name,
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"steward_alert_source": rule.source_module,
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"steward_alert_resource": rule.resource_name,
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"steward_alert_metric": rule.metric_name,
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"steward_alert_value": value,
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"steward_alert_threshold": rule.threshold,
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"steward_alert_operator": rule.operator.value,
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}
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def action_vars(lines) -> dict:
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"""An alert action's stored `key=value` lines as a map, split at the first
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`=` so a value keeps its spaces, quotes and further `=`."""
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out: dict = {}
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for line in lines or ():
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key, sep, val = str(line).partition("=")
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if sep and key.strip():
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out[key.strip()] = val
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return out
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async def record_metric(
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session: AsyncSession,
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source_module: str,
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resource_name: str,
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metric_name: str,
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value: float,
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) -> None:
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"""One metric sample: record_metrics with a single row."""
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await record_metrics(session, [PluginMetric(
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source_module=source_module, resource_name=resource_name,
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metric_name=metric_name, value=value)])
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class MetricBatch:
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"""Gathers one transaction's samples so they are recorded, and their alert
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rules evaluated, in a single record_metrics call:
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batch = MetricBatch()
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batch.add(source_module="unifi", resource_name="wan", metric_name="is_up", value=1.0)
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await batch.record(session)
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"""
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def __init__(self) -> None:
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self.rows: list[PluginMetric] = []
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def add(self, source_module: str, resource_name: str, metric_name: str, value: float,
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recorded_at: datetime | None = None) -> None:
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self.rows.append(PluginMetric(source_module=source_module, resource_name=resource_name,
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metric_name=metric_name, value=float(value),
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recorded_at=recorded_at))
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async def record(self, session: AsyncSession) -> None:
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rows, self.rows = self.rows, []
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await record_metrics(session, rows)
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def _in_window(w: MaintenanceWindow, source_module: str, resource_name: str) -> bool:
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if w.scope_source is None:
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return True
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return w.scope_source == source_module and w.scope_resource in (None, resource_name)
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MUTED = "notification muted: maintenance window"
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RELEASED = "notified when the window ended"
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def _muted_by(windows, rule: AlertRule) -> str | None:
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"""The note an event carries when a maintenance window holds back its
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notification, or None when no window covers the rule."""
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w = next((w for w in windows if _in_window(w, rule.source_module, rule.resource_name)), None)
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return f"{MUTED} {w.name}" if w else None
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# Notification and action tasks in flight. Held here so the event loop's weak
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# references are not the only ones (a dropped task is silently never run).
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_background: set[asyncio.Task] = set()
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_AFTER_COMMIT = "steward_alert_after_commit"
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def _spawn(coro) -> None:
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task = asyncio.create_task(coro)
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_background.add(task)
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task.add_done_callback(_background.discard)
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def _after_commit(session: AsyncSession, fn, *args) -> None:
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"""Run fn(app, *args) once the session's transaction commits, and never if
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it rolls back: a notification or a playbook run must describe what was
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actually stored."""
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if _app is None:
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return
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info = session.info
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if _AFTER_COMMIT not in info:
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info[_AFTER_COMMIT] = []
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app = _app
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def _committed(_sync_session) -> None:
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jobs, info[_AFTER_COMMIT] = info[_AFTER_COMMIT], []
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for job_fn, job_args in jobs:
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_spawn(job_fn(app, *job_args))
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def _rolled_back(_sync_session) -> None:
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info[_AFTER_COMMIT] = []
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sa_event.listen(session.sync_session, "after_commit", _committed)
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sa_event.listen(session.sync_session, "after_rollback", _rolled_back)
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info[_AFTER_COMMIT].append((fn, args))
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async def record_metrics(session: AsyncSession, rows: list[PluginMetric], phases=None) -> None:
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"""Write metric rows and evaluate the alert rules that watch them.
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Every ingest path comes through here, so a rule on any metric Steward
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records can fire. Must be called inside an active transaction:
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async with session.begin():
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await record_metrics(session, rows)
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Maintenance windows, rules and their states are read once per batch, not
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once per row. Each rule sees its key's samples oldest first, so a backlog
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(an agent catching up after an outage) counts consecutive checks as they
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happened. A maintenance window holds back notifications and actions, not
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evaluation: the state still moves, and the event says it was muted.
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Notifications and actions start only once the transaction commits.
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`phases`, when given, is marked after each step (flush, rules, evaluate)
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so a slow caller can say which one its time went to.
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"""
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mark = phases.mark if phases is not None else (lambda _name: None)
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if not rows:
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return
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now = datetime.now(timezone.utc)
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for row in rows:
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if row.recorded_at is None:
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row.recorded_at = now
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session.add_all(rows)
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await session.flush()
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mark("flush")
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by_key: dict[tuple[str, str, str], list[PluginMetric]] = {}
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for row in rows:
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by_key.setdefault((row.source_module, row.resource_name, row.metric_name), []).append(row)
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sources = {k[0] for k in by_key}
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metric_names = {k[2] for k in by_key}
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rules = (await session.execute(
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select(AlertRule).where(
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AlertRule.source_module.in_(sources),
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AlertRule.metric_name.in_(metric_names),
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AlertRule.enabled.is_(True),
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)
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)).scalars().all()
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rules = [r for r in rules if (r.source_module, r.resource_name, r.metric_name) in by_key]
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if not rules:
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mark("rules")
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return
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windows = (await session.execute(
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select(MaintenanceWindow).where(
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MaintenanceWindow.start_at <= now, MaintenanceWindow.end_at >= now)
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)).scalars().all()
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states = {st.rule_id: st for st in (await session.execute(
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select(AlertState).where(AlertState.rule_id.in_([r.id for r in rules]))
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)).scalars()}
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mark("rules")
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for rule in rules:
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alert_state = states.get(rule.id)
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if alert_state is None:
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logger.warning("No alert_state row for rule %s, skipping", rule.id)
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continue
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samples = sorted(by_key[(rule.source_module, rule.resource_name, rule.metric_name)],
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key=lambda r: r.recorded_at)
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muted = _muted_by(windows, rule)
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resumed = _track_samples(session, rule, alert_state, samples, now, muted)
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if resumed and rule.notify_no_data and not muted:
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event_id, value, note = resumed
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_after_commit(session, _dispatch_notification, "data_resumed", rule, value,
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event_id, note)
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for sample in samples:
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notifications = await _evaluate_rule(session, rule, alert_state, sample.value,
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sample.recorded_at, note=muted)
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if muted:
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continue
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for notif_type, event_id in notifications:
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_after_commit(session, _dispatch_notification, notif_type, rule, sample.value,
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event_id)
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# Admin-configured Ansible action runs only on transition-to-firing.
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if notif_type == "firing" and rule.ansible_action:
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_after_commit(session, _run_ansible_action, rule, sample.value, event_id)
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mark("evaluate")
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# A series is silent once it has gone this long without a sample, or three of
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# its usual gaps if that is longer. Until its cadence is known (fewer than two
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# samples seen), it gets an hour: a monitor may check only every ten minutes.
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NO_DATA_FLOOR_S = 300.0
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NO_DATA_GAPS = 3
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NO_DATA_UNKNOWN_S = 3600.0
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def next_interval(interval: float | None, gap: float) -> float:
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"""A series' usual gap between samples, updated with one more gap.
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A smoothed average, so one late sample barely moves it. A gap longer than
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the silence threshold counts only as that threshold: an outage is not the
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series' cadence. A real change of cadence still gets learned, a step at a
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time (each step at most 1.5x).
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"""
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gap = max(0.0, gap)
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if interval is None or interval <= 0:
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return gap
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return 0.75 * interval + 0.25 * min(gap, NO_DATA_GAPS * interval)
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def no_data_after(interval: float | None) -> float:
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"""Seconds without a sample before a series counts as silent."""
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if not interval:
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return NO_DATA_UNKNOWN_S
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return max(NO_DATA_FLOOR_S, NO_DATA_GAPS * interval)
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def silent_since(last_sample_at: datetime | None, interval: float | None,
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watching_since: datetime, now: datetime) -> datetime | None:
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"""When a series went silent, or None while it is still reporting.
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A series that has never had a sample counts from when the rule started
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watching it (created, changed or re-enabled).
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"""
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last = last_sample_at or watching_since
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limit = timedelta(seconds=no_data_after(interval))
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return last + limit if now - last > limit else None
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def _track_samples(session: AsyncSession, rule: AlertRule, state: AlertState,
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samples: list[PluginMetric], now: datetime, muted: str | None = None
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) -> tuple[str, float, str] | None:
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"""Note a rule's new samples (oldest first) for silence tracking. When the
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series had been marked no_data, clear it and record a resume event,
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returned as (event_id, value, note) for the caller to notify. `muted` is
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added to the event's note when a maintenance window holds it back."""
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for sample in samples:
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if state.last_sample_at is not None:
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if sample.recorded_at <= state.last_sample_at:
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continue # late or duplicate: not a gap
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gap = (sample.recorded_at - state.last_sample_at).total_seconds()
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state.sample_interval_s = next_interval(state.sample_interval_s, gap)
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state.last_sample_at = sample.recorded_at
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if state.no_data_since is None or not samples:
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return None
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note = f"data resumed after {human_duration((now - state.no_data_since).total_seconds())} silent"
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value = samples[-1].value
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event_id = _add_event(session, rule.id, "no_data", state.state.value, value, now,
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note=f"{note}; {muted}" if muted else note)
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state.no_data_since = None
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return event_id, value, note
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def _is_breached(value: float, operator: AlertOperator, threshold: float) -> bool:
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op = operator.value
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if op == ">":
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return value > threshold
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if op == "<":
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return value < threshold
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if op == ">=":
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return value >= threshold
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if op == "<=":
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return value <= threshold
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if op == "==":
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return value == threshold
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if op == "!=":
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return value != threshold
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return False
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@dataclass(frozen=True)
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class Step:
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"""One sample's effect on an alert: the state after it, the two run
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counters, and the event to record ("firing" / "resolved") if any."""
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state: AlertStateEnum
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fail_count: int
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ok_count: int
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event: str | None = None
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def next_step(state: AlertStateEnum, fail_count: int, ok_count: int, breached: bool,
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fail_required: int, ok_required: int) -> Step:
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"""The alert state machine, as a pure function of one sample.
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inactive → pending → firing when `fail_required` breaching checks run in a
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row; a non-breaching check while pending goes back to inactive.
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firing and acknowledged resolve (to inactive, with a resolved event) only
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after `ok_required` non-breaching checks in a row; a breaching check
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resets that run. An acknowledgement holds while the alert is still
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breached: only a resolve clears it.
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"""
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fail_required, ok_required = max(1, fail_required), max(1, ok_required)
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S = AlertStateEnum
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if state in (S.firing, S.acknowledged):
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if breached:
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return Step(state, fail_count + 1, 0)
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if ok_count + 1 >= ok_required:
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return Step(S.inactive, 0, 0, "resolved")
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return Step(state, fail_count, ok_count + 1)
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# inactive, pending (and the transient resolved, read as inactive)
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if not breached:
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return Step(S.inactive, 0, 0)
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fails = fail_count + 1 if state == S.pending else 1
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if fails >= fail_required:
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return Step(S.firing, fails, 0, "firing")
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return Step(S.pending, fails, 0)
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async def _evaluate_rule(
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session: AsyncSession,
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rule: AlertRule,
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state: AlertState,
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value: float,
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now: datetime,
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note: str | None = None,
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) -> list[tuple[str, str]]:
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"""Apply one sample to a rule's state. Returns [(notif_type, event_id)];
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an event it records carries `note`."""
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from_state = state.state
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step = next_step(from_state, state.consecutive_failure_count, state.consecutive_ok_count,
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_is_breached(value, rule.operator, rule.threshold),
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rule.consecutive_failures_required, rule.consecutive_ok_required)
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state.consecutive_failure_count = step.fail_count
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state.consecutive_ok_count = step.ok_count
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notifications: list[tuple[str, str]] = []
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if step.state != from_state:
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state.state = step.state
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state.last_transition_at = now
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if step.state == AlertStateEnum.inactive:
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state.acknowledged_by = None
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state.acknowledged_at = None
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if step.event:
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event_id = _add_event(session, rule.id, from_state.value, step.event, value, now,
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note=note)
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notifications.append((step.event, event_id))
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await session.flush()
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return notifications
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async def reset_rule_state(session: AsyncSession, rule: AlertRule, note: str) -> None:
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"""Put a rule's alert back to inactive because the rule itself changed
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(what it watches, its threshold, or it was disabled or re-enabled), and
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start its silence watch over. An alert that was
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firing or acknowledged gets a resolved event carrying `note`; nobody is
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notified, since nothing about the watched resource changed."""
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state = (await session.execute(
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select(AlertState).where(AlertState.rule_id == rule.id))).scalar_one_or_none()
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if state is None:
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return
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now = datetime.now(timezone.utc)
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if state.state in (AlertStateEnum.firing, AlertStateEnum.acknowledged):
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_add_event(session, rule.id, state.state.value, "resolved", None, now, note=note)
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# The watch starts over now: silence is measured from here, against the
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# cadence of whatever the rule watches from now on.
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state.last_transition_at = now
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state.last_sample_at = None
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state.sample_interval_s = None
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state.no_data_since = None
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state.state = AlertStateEnum.inactive
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state.consecutive_failure_count = 0
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state.consecutive_ok_count = 0
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state.acknowledged_by = None
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state.acknowledged_at = None
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def _add_event(
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session: AsyncSession,
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rule_id: str,
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from_state: str,
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to_state: str,
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value: float | None,
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now: datetime,
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note: str | None = None,
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) -> str:
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"""Add an AlertEvent row and return its ID."""
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event_id = str(uuid.uuid4())
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event = AlertEvent(
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id=event_id,
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rule_id=rule_id,
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from_state=from_state,
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to_state=to_state,
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metric_value=value,
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transitioned_at=now,
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note=note,
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)
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session.add(event)
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return event_id
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async def _dispatch_notification(
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app: "Quart",
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notif_type: str,
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rule: AlertRule,
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value: float | None,
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event_id: str,
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note: str | None = None,
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) -> None:
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"""Run after the transaction commits. Sends notifications and updates the event row."""
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from steward.core.notifications import dispatch_notifications
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alert_data = {
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"rule_name": rule.name,
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"state": notif_type.upper(),
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"metric": rule.metric_name,
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"value": value,
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"threshold": rule.threshold,
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|
"resource": rule.resource_name,
|
|
"source_module": rule.source_module,
|
|
"note": note,
|
|
"timestamp": datetime.now(timezone.utc).isoformat(),
|
|
}
|
|
|
|
smtp_cfg = app.config.get("SMTP", {})
|
|
webhook_cfg = app.config.get("WEBHOOK", {})
|
|
results = await dispatch_notifications(smtp_cfg, webhook_cfg, alert_data)
|
|
|
|
# Update event row with delivery results in a new transaction
|
|
async with app.db_sessionmaker() as db:
|
|
async with db.begin():
|
|
event_result = await db.execute(
|
|
select(AlertEvent).where(AlertEvent.id == event_id)
|
|
)
|
|
event = event_result.scalar_one_or_none()
|
|
if event:
|
|
email_r = results.get("email")
|
|
if email_r:
|
|
event.email_sent = email_r["sent"]
|
|
event.email_error = email_r.get("error")
|
|
webhook_r = results.get("webhook")
|
|
if webhook_r:
|
|
event.webhook_sent = webhook_r["sent"]
|
|
event.webhook_error = webhook_r.get("error")
|
|
|
|
|
|
async def _run_ansible_action(
|
|
app: "Quart",
|
|
rule: AlertRule,
|
|
value: float,
|
|
event_id: str,
|
|
) -> None:
|
|
"""Run the rule's configured Ansible playbook (system-triggered).
|
|
|
|
Starts after the evaluation transaction commits. Goes through
|
|
runner.trigger_run like every other run path, so the playbook and the
|
|
inventory must be ones the source lists (ansible/guards.py). The firing
|
|
event links to the run, or says why the action did not start.
|
|
"""
|
|
from steward.ansible.runner import IN_FLIGHT, trigger_run
|
|
from steward.models.ansible import AnsibleRun
|
|
|
|
if rule.id in _actions_starting:
|
|
await _note_event(app, event_id, "Ansible action skipped: an earlier "
|
|
"firing's action was still starting")
|
|
return
|
|
async with app.db_sessionmaker() as db:
|
|
busy = (await db.execute(
|
|
select(AnsibleRun.id)
|
|
.join(AlertEvent, AlertEvent.ansible_run_id == AnsibleRun.id)
|
|
.where(AlertEvent.rule_id == rule.id, AnsibleRun.status.in_(IN_FLIGHT))
|
|
.limit(1))).scalar_one_or_none()
|
|
if busy:
|
|
# One action run at a time per rule (#5158): a re-firing while the
|
|
# last one is still going would run the same fix over it.
|
|
await _note_event(app, event_id, f"Ansible action skipped: run {busy} "
|
|
"from an earlier firing was still going")
|
|
return
|
|
_actions_starting.add(rule.id)
|
|
try:
|
|
await _start_ansible_action(app, rule, value, event_id, trigger_run)
|
|
finally:
|
|
_actions_starting.discard(rule.id)
|
|
|
|
|
|
# Rules whose action is between the in-flight check and its run being linked
|
|
# to the event, so two firings that close together can't both start one.
|
|
_actions_starting: set[str] = set()
|
|
|
|
|
|
async def _note_event(app: "Quart", event_id: str, why: str) -> None:
|
|
async with app.db_sessionmaker() as db:
|
|
async with db.begin():
|
|
ev = (await db.execute(
|
|
select(AlertEvent).where(AlertEvent.id == event_id))).scalar_one_or_none()
|
|
if ev is not None:
|
|
ev.note = f"{ev.note}; {why}" if ev.note else why
|
|
|
|
|
|
async def _start_ansible_action(app, rule, value, event_id, trigger_run) -> None:
|
|
action = rule.ansible_action or {}
|
|
playbook = action.get("playbook") or ""
|
|
inventory = action.get("inventory") or ""
|
|
source_name = action.get("source") or ""
|
|
# One JSON extra-vars file; the firing's own vars win over the action's.
|
|
params: dict = {
|
|
"extra_vars_map": {**action_vars(action.get("extra_vars")),
|
|
**alert_extra_vars(rule, value)},
|
|
}
|
|
if action.get("limit"):
|
|
params["limit"] = action["limit"]
|
|
if action.get("tags"):
|
|
params["tags"] = action["tags"]
|
|
if action.get("check"):
|
|
params["check"] = True
|
|
scope = inventory if inventory.startswith("steward:") else f"repo:{source_name}:{inventory}"
|
|
|
|
if not playbook or not inventory:
|
|
run, err = None, "the action has no playbook or inventory"
|
|
else:
|
|
try:
|
|
run, _source, err = await trigger_run(
|
|
app, source_name=source_name, playbook_path=playbook,
|
|
inventory_scope=scope, params=params, triggered_by=None)
|
|
except Exception as exc:
|
|
logger.exception("Ansible action for rule %r failed to start", rule.name)
|
|
run, err = None, str(exc)
|
|
if err:
|
|
logger.error("Ansible action for rule %r not started: %s", rule.name, err)
|
|
|
|
if run is None:
|
|
await _note_event(app, event_id, f"Ansible action not started: {err}")
|
|
return
|
|
async with app.db_sessionmaker() as db:
|
|
async with db.begin():
|
|
ev = (await db.execute(
|
|
select(AlertEvent).where(AlertEvent.id == event_id))).scalar_one_or_none()
|
|
if ev is not None:
|
|
ev.ansible_run_id = run.id
|
|
|
|
|
|
async def check_silence(app: "Quart") -> None:
|
|
"""Mark the enabled rules whose series has gone silent (no_data).
|
|
|
|
Run every minute by the core scheduler. A rule is silent once its series
|
|
has had no sample for no_data_after(its usual gap); one that never had a
|
|
sample counts from when the rule started watching. The mark sits beside
|
|
the state, so a firing alert that goes silent stays firing. Each silence
|
|
is recorded once, as an event, and notified once (rule.notify_no_data,
|
|
outside maintenance windows), after the transaction commits.
|
|
"""
|
|
now = datetime.now(timezone.utc)
|
|
notify: list[tuple[AlertRule, str, str]] = []
|
|
async with app.db_sessionmaker() as session:
|
|
async with session.begin():
|
|
rows = (await session.execute(
|
|
select(AlertState, AlertRule)
|
|
.join(AlertRule, AlertState.rule_id == AlertRule.id)
|
|
.where(AlertRule.enabled.is_(True), AlertState.no_data_since.is_(None))
|
|
)).all()
|
|
if not rows:
|
|
return
|
|
windows = (await session.execute(
|
|
select(MaintenanceWindow).where(
|
|
MaintenanceWindow.start_at <= now, MaintenanceWindow.end_at >= now)
|
|
)).scalars().all()
|
|
for state, rule in rows:
|
|
watching_since = max(rule.created_at, state.last_transition_at)
|
|
since = silent_since(state.last_sample_at, state.sample_interval_s,
|
|
watching_since, now)
|
|
if since is None:
|
|
continue
|
|
state.no_data_since = since
|
|
if state.last_sample_at is None:
|
|
note = (f"no sample yet, {human_duration((now - watching_since).total_seconds())}"
|
|
" after the rule started watching")
|
|
else:
|
|
note = f"no sample for {human_duration((now - state.last_sample_at).total_seconds())}"
|
|
if state.sample_interval_s:
|
|
note += f" (usually every {human_duration(state.sample_interval_s)})"
|
|
muted = _muted_by(windows, rule)
|
|
event_id = _add_event(session, rule.id, state.state.value, "no_data", None,
|
|
now, note=f"{note}; {muted}" if muted else note)
|
|
if rule.notify_no_data and not muted:
|
|
notify.append((rule, event_id, note))
|
|
for rule, event_id, note in notify:
|
|
_spawn(_dispatch_notification(app, "no_data", rule, None, event_id, note))
|
|
|
|
|
|
async def notify_after_maintenance(app: "Quart") -> None:
|
|
"""Notify the alerts that started firing inside a maintenance window and
|
|
are still firing now that no window covers them, and run their actions:
|
|
a window delays what it mutes, it does not discard it. Run every minute
|
|
by the core scheduler; each muted firing is released once."""
|
|
now = datetime.now(timezone.utc)
|
|
release: list[tuple[AlertRule, str, float | None]] = []
|
|
async with app.db_sessionmaker() as session:
|
|
async with session.begin():
|
|
rows = (await session.execute(
|
|
select(AlertState, AlertRule)
|
|
.join(AlertRule, AlertState.rule_id == AlertRule.id)
|
|
.where(AlertRule.enabled.is_(True), AlertState.state == AlertStateEnum.firing)
|
|
)).all()
|
|
if not rows:
|
|
return
|
|
windows = (await session.execute(
|
|
select(MaintenanceWindow).where(
|
|
MaintenanceWindow.start_at <= now, MaintenanceWindow.end_at >= now)
|
|
)).scalars().all()
|
|
for state, rule in rows:
|
|
if _muted_by(windows, rule):
|
|
continue
|
|
fired = (await session.execute(
|
|
select(AlertEvent)
|
|
.where(AlertEvent.rule_id == rule.id, AlertEvent.to_state == "firing")
|
|
.order_by(AlertEvent.transitioned_at.desc()).limit(1)
|
|
)).scalar_one_or_none()
|
|
note = (fired.note or "") if fired else ""
|
|
if MUTED not in note or RELEASED in note:
|
|
continue
|
|
fired.note = f"{note}; {RELEASED}"
|
|
release.append((rule, fired.id, fired.metric_value))
|
|
for rule, event_id, value in release:
|
|
_spawn(_dispatch_notification(app, "firing", rule, value, event_id))
|
|
if rule.ansible_action:
|
|
_spawn(_run_ansible_action(app, rule, value, event_id))
|