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nfoguard/core/xml_cache.py
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sbcrumb 94590ac070
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feat:add file cache system
2025-09-25 18:58:31 -04:00

204 lines
7.3 KiB
Python

#!/usr/bin/env python3
"""
XML Processing Cache for NFOGuard
Optimizes NFO file parsing and manipulation
"""
import os
import time
from functools import lru_cache
from pathlib import Path
from typing import Dict, Optional, Any
from xml.etree import ElementTree as ET
from core.logging import _log
class XMLProcessingCache:
"""Caches parsed XML trees and NFO data with mtime invalidation"""
def __init__(self, max_cache_size: int = 500):
self.max_cache_size = max_cache_size
self._xml_tree_cache: Dict[str, tuple] = {} # (mtime, parsed_tree)
self._nfo_data_cache: Dict[str, tuple] = {} # (mtime, extracted_data)
self._cache_hits = 0
self._cache_misses = 0
def get_parsed_nfo(self, nfo_path: Path) -> Optional[ET.Element]:
"""Get parsed NFO file with caching"""
if not nfo_path.exists():
return None
cache_key = str(nfo_path)
current_mtime = nfo_path.stat().st_mtime
# Check cache
if cache_key in self._xml_tree_cache:
cached_mtime, cached_tree = self._xml_tree_cache[cache_key]
if cached_mtime == current_mtime:
self._cache_hits += 1
return cached_tree
# Parse XML
self._cache_misses += 1
try:
tree = ET.parse(nfo_path)
root = tree.getroot()
# Cache the parsed tree
self._xml_tree_cache[cache_key] = (current_mtime, root)
self._cleanup_cache()
return root
except (ET.ParseError, OSError) as e:
_log("DEBUG", f"Error parsing NFO {nfo_path}: {e}")
return None
def extract_nfo_dates_cached(self, nfo_path: Path) -> Optional[Dict[str, Any]]:
"""Extract NFOGuard date fields from NFO with caching"""
if not nfo_path.exists():
return None
cache_key = f"dates:{nfo_path}"
current_mtime = nfo_path.stat().st_mtime
# Check cache
if cache_key in self._nfo_data_cache:
cached_mtime, cached_data = self._nfo_data_cache[cache_key]
if cached_mtime == current_mtime:
self._cache_hits += 1
return cached_data
# Extract data
self._cache_misses += 1
root = self.get_parsed_nfo(nfo_path)
if not root:
return None
dates_data = self._extract_nfoguard_dates(root)
# Cache the extracted data
self._nfo_data_cache[cache_key] = (current_mtime, dates_data)
self._cleanup_cache()
return dates_data
def _extract_nfoguard_dates(self, root: ET.Element) -> Optional[Dict[str, Any]]:
"""Extract NFOGuard date fields from parsed XML"""
try:
# Look for NFOGuard date fields
dateadded_elem = root.find(".//dateadded")
source_elem = root.find(".//nfoguard_source")
aired_elem = root.find(".//aired") or root.find(".//premiered")
if dateadded_elem is not None and dateadded_elem.text:
result = {
"dateadded": dateadded_elem.text.strip(),
"source": source_elem.text.strip() if source_elem is not None and source_elem.text else "unknown",
"aired": aired_elem.text.strip() if aired_elem is not None and aired_elem.text else None
}
# Check if title exists for episodes
title_elem = root.find(".//title")
if title_elem is not None and title_elem.text:
result["has_title"] = True
result["title"] = title_elem.text.strip()
else:
result["has_title"] = False
return result
except Exception as e:
_log("DEBUG", f"Error extracting NFOGuard dates from XML: {e}")
return None
def check_nfo_has_nfoguard_data(self, nfo_path: Path) -> bool:
"""Quickly check if NFO has NFOGuard data"""
cache_key = f"has_nfoguard:{nfo_path}"
if not nfo_path.exists():
return False
current_mtime = nfo_path.stat().st_mtime
# Check cache
if cache_key in self._nfo_data_cache:
cached_mtime, has_data = self._nfo_data_cache[cache_key]
if cached_mtime == current_mtime:
self._cache_hits += 1
return has_data
# Check for NFOGuard markers
self._cache_misses += 1
try:
# Quick text search first (faster than XML parsing)
with open(nfo_path, 'r', encoding='utf-8', errors='ignore') as f:
content = f.read()
has_data = '<nfoguard_source>' in content or '<!-- NFOGuard -->' in content
# Cache result
self._nfo_data_cache[cache_key] = (current_mtime, has_data)
return has_data
except (OSError, UnicodeDecodeError) as e:
_log("DEBUG", f"Error checking NFOGuard markers in {nfo_path}: {e}")
return False
def _cleanup_cache(self):
"""Clean up caches when they get too large"""
if len(self._xml_tree_cache) > self.max_cache_size:
# Remove oldest 25% of entries
remove_count = self.max_cache_size // 4
old_keys = list(self._xml_tree_cache.keys())[:remove_count]
for key in old_keys:
del self._xml_tree_cache[key]
if len(self._nfo_data_cache) > self.max_cache_size:
remove_count = self.max_cache_size // 4
old_keys = list(self._nfo_data_cache.keys())[:remove_count]
for key in old_keys:
del self._nfo_data_cache[key]
def clear_cache(self):
"""Clear all XML caches"""
self._xml_tree_cache.clear()
self._nfo_data_cache.clear()
_log("INFO", "XML processing cache cleared")
def get_cache_stats(self) -> Dict[str, Any]:
"""Get XML cache performance statistics"""
total_requests = self._cache_hits + self._cache_misses
hit_rate = (self._cache_hits / total_requests * 100) if total_requests > 0 else 0
return {
"xml_cache_hits": self._cache_hits,
"xml_cache_misses": self._cache_misses,
"xml_hit_rate_percent": round(hit_rate, 2),
"xml_tree_cache_size": len(self._xml_tree_cache),
"nfo_data_cache_size": len(self._nfo_data_cache)
}
# Global XML cache instance
xml_cache = XMLProcessingCache()
@lru_cache(maxsize=1000)
def parse_imdb_from_filename(filename: str) -> Optional[str]:
"""Parse IMDb ID from filename with LRU caching"""
import re
match = re.search(r'\[imdb-([^]]+)\]', filename, re.IGNORECASE)
return match.group(1) if match else None
@lru_cache(maxsize=200)
def clean_title_for_search(title: str) -> str:
"""Clean title for searching with LRU caching"""
return title.lower().replace(" ", "").replace("-", "").replace("_", "")
def clear_xml_caches():
"""Clear all XML-related caches"""
xml_cache.clear_cache()
parse_imdb_from_filename.cache_clear()
clean_title_for_search.cache_clear()
_log("INFO", "All XML caches cleared")