refactor(cache): remove the cache layer's duplicate cleanup and dead lookups (#613)

* refactor(cache): collapse CacheStrategy's all-60 defaults table and twin soccer branch

get_sport_live_interval() without a config manager looked the sport up in
a table where every value was 60, with 60 as the fallback; it now returns
60. get_data_type_from_key() had an `if 'soccer'` branch returning the
same 'sports_live' as its else.

test_cache_strategy_intervals pins the returned strategy for every data
type x sport key x config-manager shape; it passes unchanged on the old
code. A 2,544-entry dump of every CacheStrategy method over a wider grid
is identical before and after.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* refactor(cache): drop CacheStrategy's `<sport>_scoreboard` config lookup

get_sport_live_interval() and get_cache_strategy() read live/recent/
upcoming intervals from config[f"{sport}_scoreboard"]. Those sections
belonged to the built-in scoreboards the plugin system replaced; plugin
config is keyed by plugin id ("football-scoreboard"), so on a current
config the lookup always fell through to the defaults (60 live, 1800
recent, 10800 upcoming), which are now returned directly.

The one input where this differs: a config.json upgraded from the
pre-plugin era that still carries e.g. an "nfl_scoreboard" section (no
code removes them), queried with an explicit sport key. No caller in core
or the plugin monorepo passes a sport key here -- get_with_auto_strategy
only derives one for keys classed sports_live/live_scores, and its callers
(odds managers, odds-ticker) use odds keys -- so the stale section was
unreachable in practice. A dump of every CacheStrategy method over 2,544
inputs differs from the previous commit only in those 45 legacy-config
entries; the test grid now includes that shape.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* perf(cache): list cache files without holding the memory-tier lock

CacheManager.list_cache_files() held the in-memory cache's lock while it
listed and stat'd the whole cache directory -- 8,864 files on a real rig
-- so every get()/set() from the display loop and plugins waited out the
scan. The lock never protected the disk: DiskCache writes and deletes
under their own lock, and a file vanishing between listdir and stat was
already handled (logged and skipped). The body is unchanged apart from
the dedent.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* refactor(cache): delegate memory-tier cleanup and stats to MemoryCache

CacheManager._cleanup_memory_cache() was a line-for-line copy of
MemoryCache.cleanup(), and get_memory_cache_stats() a copy of
MemoryCache.get_stats(), both reaching into the component's private
_cache/_timestamps/_lock through "backward compatibility" aliases bound
in __init__. So the component's own cleanup and stats only ever ran in
tests, and the aliases went stale whenever the component was swapped
(test_cache_ttl_honoured does). Both now delegate, and the aliases are
gone: nothing in core, the tests, or the ledmatrix-plugins monorepo reads
them.

Behaviour is the same. Compared line by line, the two cleanups differ
only in the sort key's fallback (0 vs 0.0, which orders identically),
range+bounds check vs slice for the eviction, and the logger name on the
DEBUG summary line (src.cache_manager -> src.cache.memory_cache). A
differential run over 20,000 random memory states (str/None/garbage/
future timestamps, orphan keys, sizes 0-12, forced and throttled runs)
gives identical removed counts, resulting dicts and last-cleanup times;
the same harness catches each of three seeded mutations of
MemoryCache.cleanup. The throttle clock also moves with it:
CacheManager kept its own copy of last-cleanup, the component's is used
now, and they started equal.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* refactor(background): inline the sport cache key and drop the unused request queue

get_sport_cache_key() constructed a whole CacheManager -- ConfigManager,
config parse, cache-dir probing with test-file writes -- to return
f"{sport}_{date}". It now builds the key itself in the same format as
CacheManager.generate_sport_cache_key() (UTC date, %Y%m%d); tests check
the two agree for explicit dates and, with a frozen clock at 03:30 UTC,
for the default date. Median per call on Windows: ~0.6 ms -> ~2 us
(alternating runs); on a Pi the old path also wrote a probe file per call.

request_queue was a PriorityQueue nothing ever put into: requests go
straight to the executor, so `priority` never did anything. The queue is
gone; the `priority` parameter and FetchRequest field stay (every
monorepo scoreboard passes priority=) and are documented as ignored, and
get_statistics() keeps reporting queue_size, now a literal 0 as it
always was in practice.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Chuck
2026-09-23 12:54:07 -04:00
committed by GitHub
co-authored by Claude Opus 5.5
parent 269385c97c
commit 9d024f24ef
6 changed files with 416 additions and 188 deletions
+55 -124
View File
@@ -92,14 +92,6 @@ class CacheManager:
self._strategy_component = CacheStrategy(config_manager=self.config_manager, logger=self.logger)
self._metrics_component = CacheMetrics(logger=self.logger)
# Keep old attributes for backward compatibility (delegated to components)
self._memory_cache = self._memory_cache_component._cache
self._memory_cache_timestamps = self._memory_cache_component._timestamps
self._cache_lock = self._memory_cache_component._lock
self._max_memory_cache_size = self._memory_cache_component._max_size
self._memory_cache_cleanup_interval = self._memory_cache_component._cleanup_interval
self._last_memory_cache_cleanup = self._memory_cache_component._last_cleanup
# Disk cleanup configuration
self._disk_cleanup_interval_hours = 24 # Run cleanup every 24 hours
self._disk_cleanup_interval = 3600.0 # Minimum interval between cleanups (1 hour) for throttle
@@ -229,70 +221,14 @@ class CacheManager:
return None
def _cleanup_memory_cache(self, force: bool = False) -> int:
"""
Clean up expired entries from memory cache and enforce size limits.
Args:
force: If True, perform cleanup regardless of time interval
"""Sweep the memory tier: drop entries older than an hour and trim it
to its size ceiling, at most once per cleanup interval unless forced.
Returns:
Number of entries removed
"""
now = time.time()
# Check if cleanup is needed
if not force and (now - self._last_memory_cache_cleanup) < self._memory_cache_cleanup_interval:
return 0
with self._cache_lock:
removed_count = 0
current_time = time.time()
# Remove expired entries (entries older than 1 hour without access are considered expired)
# We use a conservative TTL of 1 hour for cleanup
max_age_for_cleanup = 3600 # 1 hour
expired_keys = []
for key, timestamp in list(self._memory_cache_timestamps.items()):
if isinstance(timestamp, str):
try:
timestamp = float(timestamp)
except ValueError:
timestamp = None
if timestamp is None or (current_time - timestamp) > max_age_for_cleanup:
expired_keys.append(key)
# Remove expired entries
for key in expired_keys:
self._memory_cache.pop(key, None)
self._memory_cache_timestamps.pop(key, None)
removed_count += 1
# Enforce size limit by removing oldest entries if cache is too large
if len(self._memory_cache) > self._max_memory_cache_size:
# Sort by timestamp (oldest first)
sorted_entries = sorted(
self._memory_cache_timestamps.items(),
key=lambda x: float(x[1]) if isinstance(x[1], (int, float)) else 0
)
# Remove oldest entries until we're under the limit
excess_count = len(self._memory_cache) - self._max_memory_cache_size
for i in range(excess_count):
if i < len(sorted_entries):
key = sorted_entries[i][0]
self._memory_cache.pop(key, None)
self._memory_cache_timestamps.pop(key, None)
removed_count += 1
self._last_memory_cache_cleanup = current_time
if removed_count > 0:
self.logger.debug(f"Memory cache cleanup: removed {removed_count} entries (current size: {len(self._memory_cache)})")
return removed_count
return self._memory_cache_component.cleanup(force=force)
def _get_cache_path(self, key: str) -> Optional[str]:
"""Get the path for a cache file."""
return self._disk_cache_component.get_cache_path(key)
@@ -412,56 +348,58 @@ class CacheManager:
current_time = time.time()
try:
with self._cache_lock:
for filename in os.listdir(self.cache_dir):
if not filename.endswith('.json'):
continue
# No lock: this is disk-only work, and the memory-tier lock it used
# to hold would stall every get/set while thousands of files are
# stat'd. A file deleted mid-scan is skipped below.
for filename in os.listdir(self.cache_dir):
if not filename.endswith('.json'):
continue
# Extract key from filename (remove .json extension)
key = filename[:-5] # Remove '.json'
file_path = os.path.join(self.cache_dir, filename)
try:
# Get file stats
stat_info = os.stat(file_path)
size_bytes = stat_info.st_size
modified_time = stat_info.st_mtime
age_seconds = current_time - modified_time
# Extract key from filename (remove .json extension)
key = filename[:-5] # Remove '.json'
# Format age display
if age_seconds < 60:
age_display = f"{int(age_seconds)}s"
elif age_seconds < 3600:
age_display = f"{int(age_seconds / 60)}m"
elif age_seconds < 86400:
age_display = f"{int(age_seconds / 3600)}h"
else:
age_display = f"{int(age_seconds / 86400)}d"
file_path = os.path.join(self.cache_dir, filename)
# Format size display
if size_bytes < 1024:
size_display = f"{size_bytes}B"
elif size_bytes < 1024 * 1024:
size_display = f"{size_bytes / 1024:.1f}KB"
else:
size_display = f"{size_bytes / (1024 * 1024):.1f}MB"
cache_files.append({
'key': key,
'filename': filename,
'age_seconds': age_seconds,
'age_display': age_display,
'size_bytes': size_bytes,
'size_display': size_display,
'path': file_path,
'modified_time': modified_time,
'modified_datetime': datetime.fromtimestamp(modified_time).isoformat()
})
except OSError as e:
self.logger.warning(f"Error getting stats for cache file {filename} at {file_path}: {e}", exc_info=True)
continue
try:
# Get file stats
stat_info = os.stat(file_path)
size_bytes = stat_info.st_size
modified_time = stat_info.st_mtime
age_seconds = current_time - modified_time
# Format age display
if age_seconds < 60:
age_display = f"{int(age_seconds)}s"
elif age_seconds < 3600:
age_display = f"{int(age_seconds / 60)}m"
elif age_seconds < 86400:
age_display = f"{int(age_seconds / 3600)}h"
else:
age_display = f"{int(age_seconds / 86400)}d"
# Format size display
if size_bytes < 1024:
size_display = f"{size_bytes}B"
elif size_bytes < 1024 * 1024:
size_display = f"{size_bytes / 1024:.1f}KB"
else:
size_display = f"{size_bytes / (1024 * 1024):.1f}MB"
cache_files.append({
'key': key,
'filename': filename,
'age_seconds': age_seconds,
'age_display': age_display,
'size_bytes': size_bytes,
'size_display': size_display,
'path': file_path,
'modified_time': modified_time,
'modified_datetime': datetime.fromtimestamp(modified_time).isoformat()
})
except OSError as e:
self.logger.warning(f"Error getting stats for cache file {filename} at {file_path}: {e}", exc_info=True)
continue
except OSError as e:
self.logger.error(f"Error listing cache directory {self.cache_dir}: {e}", exc_info=True)
return []
@@ -1001,14 +939,7 @@ class CacheManager:
Returns:
Dictionary with memory cache statistics
"""
with self._cache_lock:
return {
'size': len(self._memory_cache),
'max_size': self._max_memory_cache_size,
'usage_percent': (len(self._memory_cache) / self._max_memory_cache_size * 100) if self._max_memory_cache_size > 0 else 0,
'last_cleanup': self._last_memory_cache_cleanup,
'cleanup_interval': self._memory_cache_cleanup_interval
}
return self._memory_cache_component.get_stats()
def log_memory_cache_stats(self) -> None:
"""Log current memory cache statistics."""