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ChuckBuildsandClaude Opus 5 dab4b3ea57 fix: use a monotonic clock and only mark metrics persisted once written
Two review findings on the throttle, both right.

The interval compared wall-clock timestamps. These devices have no RTC, so
the clock jumps by however far off boot-time was the moment NTP first syncs
-- a forward jump would allow an early write, a backward one would stall the
snapshot well past the interval. time.monotonic() is not subject to either.

The timestamp was also recorded before cache_manager.set(). A set() that
raised would buy the next interval's silence without leaving a snapshot
behind, which is the one case where skipping the write is least affordable.
Recorded after the write lands instead, so a failure is retried on the next
call.

Verified by restoring the original ordering: the new test then reports one
write where two are expected.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01STMbQE4YctTacQXfbYqKuW
2026-08-20 07:42:24 -04:00
ChuckBuildsandClaude Opus 5 0fd2bfae99 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
2026-08-20 07:06:21 -04:00
4 changed files with 119 additions and 167 deletions
+1 -54
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@@ -130,12 +130,7 @@ def setup_logging(
# Console handler (always add)
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(level)
# Under systemd, tag each line so the journal records the real severity
# rather than filing everything as informational. The file handler below
# keeps the plain formatter: the prefix is meaningful to journald and noise
# anywhere else.
console_handler.setFormatter(
JournalPriorityFormatter(formatter) if _under_systemd() else formatter)
console_handler.setFormatter(formatter)
root_logger.addHandler(console_handler)
# File handler (if specified)
@@ -150,54 +145,6 @@ def setup_logging(
sys.stderr.write(f"Warning: Could not set up file logging to {log_file}: {e}\n")
#: syslog priorities, which is what systemd parses from a "<N>" prefix on
#: stdout. Mapped from Python's levels.
_SYSLOG_PRIORITY = {
logging.CRITICAL: 2, # LOG_CRIT
logging.ERROR: 3, # LOG_ERR
logging.WARNING: 4, # LOG_WARNING
logging.INFO: 6, # LOG_INFO
logging.DEBUG: 7, # LOG_DEBUG
}
class JournalPriorityFormatter(logging.Formatter):
"""Wraps a formatter, prefixing each line with its syslog priority.
Under systemd everything this process writes to stdout lands in the journal
as PRIORITY=6, whatever the Python level was. Measured on a live rig: 55
ERROR lines and 13 WARNING lines in a day, every one of them recorded as
informational, so `journalctl -p err -u ledmatrix` returned nothing at all
while errors were being logged. Anyone triaging has to grep the message
text instead, which is both slower and wrong -- a search for "oom" matches
the radar logging "zoom=9".
systemd reads a leading "<N>" on each line and uses it as the priority
(sd-daemon(3)), so this needs no extra dependency. Multi-line records get
the prefix on every line, since the journal splits them and an unprefixed
continuation would fall back to the default.
"""
def __init__(self, inner: logging.Formatter):
super().__init__()
self._inner = inner
def format(self, record: logging.LogRecord) -> str:
text = self._inner.format(record)
prefix = f"<{_SYSLOG_PRIORITY.get(record.levelno, 6)}>"
return "\n".join(prefix + line for line in text.split("\n"))
def _under_systemd() -> bool:
"""True when stdout is the journal.
systemd sets JOURNAL_STREAM for services whose output it captures. Without
this check the "<N>" prefixes would show up as literal noise when the
program is run from a terminal, in the emulator, or in tests.
"""
return bool(os.environ.get("JOURNAL_STREAM"))
class PluginLoggerAdapter(logging.LoggerAdapter):
"""LoggerAdapter that stamps every record with its plugin_id.
+54 -12
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@@ -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 +371,37 @@ 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``.
"""
# Monotonic, not wall clock: these devices have no RTC, so the clock
# jumps by however far off boot-time was the moment NTP first syncs.
# A forward jump would allow an early write, a backward one would
# stall the snapshot well past the interval.
now = time.monotonic()
if not force and now - self._metrics_persisted_at.get(plugin_id, 0.0) \
< _METRICS_PERSIST_INTERVAL:
return
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,
})
# Only after the write lands. Marking it first would mean a failed
# set() bought the next interval's silence without leaving a snapshot.
self._metrics_persisted_at[plugin_id] = now
def reset_metrics(self, plugin_id: str) -> None:
"""Reset metrics for a plugin."""
with self._lock:
@@ -370,4 +409,7 @@ 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)
-101
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@@ -1,101 +0,0 @@
"""Log lines must reach the journal with their real severity.
Everything this process writes to stdout lands in the journal as PRIORITY=6,
whatever the Python level was, because journald has no other signal. Measured
on a live rig over 24 hours: 55 lines containing " - ERROR - " and 13
containing " - WARNING - ", every one of them recorded as informational. So
journalctl -p err -u ledmatrix
returned nothing while errors were being logged, and anyone triaging has to
grep the message text instead. That is slower and it is wrong: a search for
"oom" also matches the radar logging "zoom=9", which is exactly the false
positive it produced during this audit.
systemd reads a leading "<N>" on each stdout line and uses it as the priority
(sd-daemon(3)), so this needs no extra dependency -- and it must only be
applied when systemd is actually reading, or the prefixes become literal noise
in a terminal, the emulator, and test output.
"""
import logging
import os
from unittest.mock import patch
import pytest
from src.logging_config import JournalPriorityFormatter, _SYSLOG_PRIORITY, _under_systemd
class _Plain(logging.Formatter):
def format(self, record):
return record.getMessage()
def _record(level, msg="hello"):
return logging.LogRecord("t", level, "f.py", 1, msg, None, None)
@pytest.mark.parametrize("level,expected", [
(logging.CRITICAL, 2),
(logging.ERROR, 3),
(logging.WARNING, 4),
(logging.INFO, 6),
(logging.DEBUG, 7),
])
def test_each_level_maps_to_its_syslog_priority(level, expected):
out = JournalPriorityFormatter(_Plain()).format(_record(level))
assert out.startswith(f"<{expected}>"), out
assert _SYSLOG_PRIORITY[level] == expected
def test_error_and_info_are_distinguishable():
"""The whole point: journalctl -p err must be able to tell them apart."""
fmt = JournalPriorityFormatter(_Plain())
assert fmt.format(_record(logging.ERROR))[:3] != fmt.format(_record(logging.INFO))[:3]
def test_every_line_of_a_multiline_record_is_tagged():
"""The journal splits them, and an untagged continuation loses its level.
A traceback is the case that matters -- it is the most important thing in
the log and the longest.
"""
out = JournalPriorityFormatter(_Plain()).format(
_record(logging.ERROR, "Traceback:\nline one\nline two"))
lines = out.split("\n")
assert len(lines) == 3
assert all(line.startswith("<3>") for line in lines), lines
def test_the_message_survives_intact():
out = JournalPriorityFormatter(_Plain()).format(_record(logging.WARNING, "disk full"))
assert out == "<4>disk full"
def test_an_unknown_level_falls_back_to_info():
out = JournalPriorityFormatter(_Plain()).format(_record(25))
assert out.startswith("<6>")
def test_prefixing_is_off_outside_systemd():
"""Otherwise a terminal run, the emulator and pytest all show `<6>`."""
with patch.dict(os.environ, {}, clear=True):
assert not _under_systemd()
with patch.dict(os.environ, {"JOURNAL_STREAM": "8:12345"}):
assert _under_systemd()
def test_setup_uses_the_wrapper_only_under_systemd():
from src.logging_config import setup_logging
for env, expect_wrapped in (({}, False), ({"JOURNAL_STREAM": "8:1"}, True)):
with patch.dict(os.environ, env, clear=True):
setup_logging()
handlers = [h for h in logging.getLogger().handlers
if isinstance(h, logging.StreamHandler)]
assert handlers, "no stream handler installed"
wrapped = any(isinstance(h.formatter, JournalPriorityFormatter)
for h in handlers)
assert wrapped is expect_wrapped, (
f"JOURNAL_STREAM={env}: wrapped={wrapped}, expected {expect_wrapped}")
logging.getLogger().handlers.clear()
+64
View File
@@ -127,3 +127,67 @@ class TestForceReload:
fresh = mon.get_metrics_summary("p", force_reload=True)
assert fresh["call_count"] == 7
assert any(c.kwargs.get("memory_ttl") == 0 for c in cache.get.call_args_list)
class TestMetricsPersistenceChurn:
"""Metrics are telemetry; writing them on every call wore the SD card.
Each write is a ~350-byte file, which on ext4 costs a 4KB block plus a
journal entry. At roughly nine calls a minute per plugin across fourteen
plugins it dominated the device's write volume.
"""
def test_repeated_calls_persist_once_per_interval(self):
cache = _cache()
mon = PluginResourceMonitor(cache, enable_monitoring=False)
for _ in range(50):
mon.monitor_call("p", lambda: None)
writes = [c for c in cache.set.call_args_list
if c.args and str(c.args[0]).startswith("plugin_metrics:")]
assert len(writes) == 1, (
f"50 calls produced {len(writes)} metric writes; expected 1")
def test_the_interval_elapsing_allows_the_next_write(self, monkeypatch):
import src.plugin_system.resource_monitor as rm
cache = _cache()
mon = PluginResourceMonitor(cache, enable_monitoring=False)
mon.monitor_call("p", lambda: None)
# pretend the interval has passed
mon._metrics_persisted_at["p"] -= rm._METRICS_PERSIST_INTERVAL + 1
mon.monitor_call("p", lambda: None)
writes = [c for c in cache.set.call_args_list
if c.args and str(c.args[0]).startswith("plugin_metrics:")]
assert len(writes) == 2
def test_in_memory_metrics_stay_exact_while_writes_are_skipped(self):
mon = PluginResourceMonitor(_cache(), enable_monitoring=False)
for _ in range(20):
mon.monitor_call("p", lambda: None)
assert mon.get_metrics("p").call_count == 20
def test_reset_lets_the_next_call_persist_immediately(self):
cache = _cache()
mon = PluginResourceMonitor(cache, enable_monitoring=False)
mon.monitor_call("p", lambda: None)
mon.reset_metrics("p")
mon.monitor_call("p", lambda: None)
writes = [c for c in cache.set.call_args_list
if c.args and str(c.args[0]).startswith("plugin_metrics:")]
assert len(writes) == 2, "reset should clear the throttle timestamp"
def test_a_failed_write_does_not_buy_the_next_interval_of_silence(self):
"""A set() that raises must not count as having persisted.
Marking the timestamp before the write would leave no snapshot in the
cache and still suppress the next 30 seconds of attempts.
"""
cache = _cache()
cache.set.side_effect = [OSError("disk full"), None]
mon = PluginResourceMonitor(cache, enable_monitoring=False)
with pytest.raises(OSError):
mon.monitor_call("p", lambda: None)
# the very next call must try again rather than skip the interval
mon.monitor_call("p", lambda: None)
writes = [c for c in cache.set.call_args_list
if c.args and str(c.args[0]).startswith("plugin_metrics:")]
assert len(writes) == 2, "a failed write should be retried, not skipped"