perf(plugins): stop rewriting a plugin's metrics file on every call

Plugin metrics were persisted to the cache inside monitor_call, so every
call by every plugin rewrote a small JSON file. Measured on a running rig:
one plugin's plugin_metrics file changed nine times a minute, with fourteen
such files active. Each is around 350 bytes, which on ext4 costs a 4KB block
plus a journal entry, so the cost is dominated by the write itself rather
than the payload. Cache writes accounted for essentially all of that device's
2.4 MB/min of SD traffic, on a card that wears out and has already failed
twice on the other rig.

Metrics cannot be de-duplicated the way health state can, because call_count
changes on every call and the timings usually do too. So they are rate-limited
instead: at most one write per plugin per 30 seconds.

The in-memory copy stays authoritative and exact -- a plugin's call_count is
still precise the instant after it runs. Only the cross-process snapshot the
web UI reads is delayed, and telemetry up to half a minute old is still a fair
description of a long-running plugin.

reset_metrics clears the throttle timestamp, so a reset is not left showing a
deleted key for the rest of the interval.

Extrapolating the sampled rate, this takes metric writes from roughly 126 a
minute to 28. Health persistence, the other half of the churn, is handled
separately in #475.

Verified by reverting the throttle: the churn test then reports 50 writes for
50 calls. 88 tests pass across resource monitor, plugin system and web API.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01STMbQE4YctTacQXfbYqKuW
This commit is contained in:
ChuckBuilds
2026-08-20 07:06:21 -04:00
co-authored by Claude Opus 5
parent cf0a551f7b
commit 0fd2bfae99
2 changed files with 95 additions and 12 deletions
+48 -12
View File
@@ -49,6 +49,20 @@ class ResourceMetrics:
self.total_execution_time = self.total_execution_time / self.call_count
#: How often a plugin's metrics are written to the cache, in seconds.
#:
#: Persisting on every call meant a small file rewritten roughly nine times a
#: minute per plugin. On a rig with fourteen active plugins that was ~126
#: writes a minute for metrics alone, and since each ~350-byte file costs a
#: 4KB block plus an ext4 journal entry, it dominated the device's write
#: volume -- on an SD card, which wears out.
#:
#: The in-memory copy stays authoritative and exact; only the cross-process
#: snapshot the web UI reads is delayed, and telemetry up to half a minute old
#: is still a fair description of a long-running plugin.
_METRICS_PERSIST_INTERVAL = 30.0
class PluginResourceMonitor:
"""
Monitors resource usage for plugins.
@@ -75,6 +89,10 @@ class PluginResourceMonitor:
# Resource metrics per plugin
self._metrics: Dict[str, ResourceMetrics] = {}
self._limits: Dict[str, ResourceLimits] = {}
# When each plugin's metrics last reached the cache. Metrics change on
# every call, so they cannot be de-duplicated the way health state can;
# they are rate-limited instead. See _METRICS_PERSIST_INTERVAL.
self._metrics_persisted_at: Dict[str, float] = {}
# Thread-local storage for execution tracking
self._local = threading.local()
@@ -232,18 +250,8 @@ class PluginResourceMonitor:
# CPU is harder to measure per-call, so we track it separately
metrics.cpu_percent = self._get_process_cpu_percent()
# Persist metrics
cache_key = self._get_metrics_key(plugin_id)
self.cache_manager.set(cache_key, {
'memory_mb': metrics.memory_mb,
'cpu_percent': metrics.cpu_percent,
'execution_time': metrics.execution_time,
'call_count': metrics.call_count,
'total_execution_time': metrics.total_execution_time,
'max_execution_time': metrics.max_execution_time,
'min_execution_time': metrics.min_execution_time if metrics.min_execution_time != float('inf') else 0.0,
'last_update_time': metrics.last_update_time
})
# Persist metrics, at most once per interval per plugin.
self._persist_metrics(plugin_id, metrics)
# Check limits
if limits:
@@ -363,6 +371,31 @@ class PluginResourceMonitor:
summaries[plugin_id] = self.get_metrics_summary(plugin_id)
return summaries
def _persist_metrics(self, plugin_id: str, metrics: ResourceMetrics,
force: bool = False) -> None:
"""Write a plugin's metrics to the cache, at most once per interval.
Caller must hold ``self._lock``.
"""
now = time.time()
if not force and now - self._metrics_persisted_at.get(plugin_id, 0.0) \
< _METRICS_PERSIST_INTERVAL:
return
self._metrics_persisted_at[plugin_id] = now
cache_key = self._get_metrics_key(plugin_id)
self.cache_manager.set(cache_key, {
'memory_mb': metrics.memory_mb,
'cpu_percent': metrics.cpu_percent,
'execution_time': metrics.execution_time,
'call_count': metrics.call_count,
'total_execution_time': metrics.total_execution_time,
'max_execution_time': metrics.max_execution_time,
'min_execution_time': (metrics.min_execution_time
if metrics.min_execution_time != float('inf')
else 0.0),
'last_update_time': metrics.last_update_time,
})
def reset_metrics(self, plugin_id: str) -> None:
"""Reset metrics for a plugin."""
with self._lock:
@@ -370,4 +403,7 @@ class PluginResourceMonitor:
self._metrics[plugin_id] = ResourceMetrics()
cache_key = self._get_metrics_key(plugin_id)
self.cache_manager.delete(cache_key)
# Let the next call persist immediately rather than leaving the
# deleted key absent for the rest of the interval.
self._metrics_persisted_at.pop(plugin_id, None)