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Add singleton logging configuration for the renamer application

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This commit introduces a new module `logging_config.py` that implements a singleton pattern for logging configuration. The logger is initialized only once and can be configured based on an environment variable to log to a file or to the console. This centralizes logging setup and ensures consistent logging behavior throughout the application.
This commit is contained in:
sha
2026-01-05 14:54:03 +00:00
parent ad39632e91
commit 8031c97999
20 changed files with 350 additions and 109 deletions
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renamer/cache/decorators.py
Vendored
+20 -18
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@@ -19,6 +19,9 @@ from .strategies import (
logger = logging.getLogger(__name__)
# Sentinel object to distinguish "not in cache" from "cached value is None"
_CACHE_MISS = object()
def cached(
strategy: Optional[CacheKeyStrategy] = None,
@@ -78,10 +81,10 @@ def cached(
logger.warning(f"Failed to generate cache key: {e}, executing uncached")
return func(self, *args, **kwargs)
# Check cache
cached_value = cache.get(cache_key)
if cached_value is not None:
logger.debug(f"Cache hit for {func.__name__}: {cache_key}")
# Check cache (use sentinel to distinguish "not in cache" from "cached None")
cached_value = cache.get(cache_key, _CACHE_MISS)
if cached_value is not _CACHE_MISS:
logger.debug(f"Cache hit for {func.__name__}: {cache_key} (value={cached_value!r})")
return cached_value
# Execute function
@@ -91,10 +94,9 @@ def cached(
# Determine TTL
actual_ttl = _determine_ttl(self, ttl)
# Cache result (only if not None)
if result is not None:
cache.set(cache_key, result, actual_ttl)
logger.debug(f"Cached {func.__name__}: {cache_key} (TTL: {actual_ttl}s)")
# Cache result (including None - None is valid data meaning "not found")
cache.set(cache_key, result, actual_ttl)
logger.debug(f"Cached {func.__name__}: {cache_key} (TTL: {actual_ttl}s, value={result!r})")
return result
@@ -129,8 +131,9 @@ def _generate_cache_key(
if not file_path:
raise ValueError(f"{instance.__class__.__name__} missing file_path attribute")
instance_id = str(id(instance))
return strategy.generate_key(file_path, func.__name__, instance_id)
# Cache by file_path + method_name only (no instance_id)
# This allows cache hits across different extractor instances for the same file
return strategy.generate_key(file_path, func.__name__)
elif isinstance(strategy, APIRequestStrategy):
# API pattern: expects service name in args or uses function name
@@ -246,10 +249,10 @@ def cached_api(service: str, ttl: Optional[int] = None):
strategy = APIRequestStrategy()
cache_key = strategy.generate_key(service, func.__name__, {'params': args_repr})
# Check cache
cached_value = cache.get(cache_key)
if cached_value is not None:
logger.debug(f"API cache hit for {service}.{func.__name__}")
# Check cache (use sentinel to distinguish "not in cache" from "cached None")
cached_value = cache.get(cache_key, _CACHE_MISS)
if cached_value is not _CACHE_MISS:
logger.debug(f"API cache hit for {service}.{func.__name__} (value={cached_value!r})")
return cached_value
# Execute function
@@ -267,10 +270,9 @@ def cached_api(service: str, ttl: Optional[int] = None):
else:
actual_ttl = 21600 # Default 6 hours
# Cache result (only if not None)
if result is not None:
cache.set(cache_key, result, actual_ttl)
logger.debug(f"API cached {service}.{func.__name__} (TTL: {actual_ttl}s)")
# Cache result (including None - None is valid data)
cache.set(cache_key, result, actual_ttl)
logger.debug(f"API cached {service}.{func.__name__} (TTL: {actual_ttl}s, value={result!r})")
return result