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2026-01-19 09:51:07 +08:00

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"""
翻译缓存管理模块 - 简化版
基于全局ID和chunk的缓存系统
"""
import json
import hashlib
from pathlib import Path
from datetime import datetime, timedelta
from typing import Dict, Optional, List
from loguru import logger
class TranslationCache:
"""翻译缓存管理器 - 简化版"""
def __init__(self, config: Dict):
"""初始化缓存管理器"""
self.config = config
cache_config = config.get('cache', {})
self.enabled = cache_config.get('enabled', True)
self.cache_dir = Path(cache_config.get('directory', 'cache'))
self.max_age_days = cache_config.get('max_age_days', 30)
if self.enabled:
self.cache_dir.mkdir(parents=True, exist_ok=True)
self.translations_dir = self.cache_dir / 'translations'
self.translations_dir.mkdir(parents=True, exist_ok=True)
logger.info(f"翻译缓存已启用: {self.cache_dir}")
def get_chunk_translation(self, chunk: List[Dict], model: str) -> Optional[Dict[str, str]]:
"""
获取chunk的缓存翻译
Args:
chunk: 段落列表(带global_id
model: 模型名称
Returns:
{global_id: translation} 映射,如果不存在返回 None
"""
if not self.enabled:
return None
try:
cache_key = self._get_chunk_cache_key(chunk, model)
cache_file = self._get_cache_file_path(cache_key)
if not cache_file.exists():
return None
# 检查是否过期
file_age = datetime.now() - datetime.fromtimestamp(cache_file.stat().st_mtime)
if file_age > timedelta(days=self.max_age_days):
logger.debug(f"缓存已过期: {cache_key[:8]}...")
cache_file.unlink()
return None
# 读取缓存
with open(cache_file, 'r', encoding='utf-8') as f:
cache_data = json.load(f)
# 验证缓存
if (cache_data.get('success') and
cache_data.get('model') == model and
self._validate_cache_data(cache_data, chunk)):
logger.debug(f"缓存命中: {cache_key[:8]}... ({len(chunk)} 段落)")
return cache_data.get('translations', {})
return None
except Exception as e:
logger.warning(f"读取缓存失败: {e}")
return None
def save_chunk_translation(self, chunk: List[Dict], translations: Dict[str, str],
model: str, success: bool = True) -> None:
"""
保存chunk翻译到缓存
Args:
chunk: 段落列表(带global_id
translations: {global_id: translation} 映射
model: 模型名称
success: 是否翻译成功
"""
if not self.enabled:
return
try:
cache_key = self._get_chunk_cache_key(chunk, model)
cache_file = self._get_cache_file_path(cache_key)
# 构建缓存数据
cache_data = {
'global_ids': [p['global_id'] for p in chunk],
'translations': translations,
'model': model,
'timestamp': datetime.now().isoformat(),
'success': success,
'paragraph_count': len(chunk),
'cache_version': '3.0'
}
with open(cache_file, 'w', encoding='utf-8') as f:
json.dump(cache_data, f, ensure_ascii=False, indent=2)
logger.debug(f"缓存已保存: {cache_key[:8]}... ({len(chunk)} 段落)")
except Exception as e:
logger.warning(f"保存缓存失败: {e}")
def _get_chunk_cache_key(self, chunk: List[Dict], model: str) -> str:
"""
生成chunk缓存键(基于全局ID序列)
Args:
chunk: 段落列表
model: 模型名称
Returns:
缓存键
"""
# 使用全局ID序列作为缓存键的一部分
id_sequence = ",".join(p['global_id'] for p in chunk)
combined = f"{id_sequence}|{model}"
return hashlib.md5(combined.encode('utf-8')).hexdigest()
def _get_cache_file_path(self, cache_key: str) -> Path:
"""获取缓存文件路径"""
# 使用 hash 前缀分目录,避免单目录文件过多
subdir = cache_key[:2]
cache_subdir = self.translations_dir / subdir
cache_subdir.mkdir(parents=True, exist_ok=True)
return cache_subdir / f"{cache_key}.json"
def _validate_cache_data(self, cache_data: Dict, chunk: List[Dict]) -> bool:
"""验证缓存数据的有效性"""
# 检查ID序列是否匹配
cached_ids = cache_data.get('global_ids', [])
chunk_ids = [p['global_id'] for p in chunk]
if cached_ids != chunk_ids:
logger.debug("缓存ID序列不匹配")
return False
# 只要有翻译结果就认为有效,不要求数量完全匹配
translations = cache_data.get('translations', {})
if not translations:
logger.debug("缓存无翻译结果")
return False
return True
def clear_cache(self, older_than_days: Optional[int] = None) -> int:
"""清理缓存"""
if not self.enabled or not self.translations_dir.exists():
return 0
cleared_count = 0
cutoff_time = None
if older_than_days is not None:
cutoff_time = datetime.now() - timedelta(days=older_than_days)
try:
for cache_file in self.translations_dir.rglob('*.json'):
should_delete = False
if cutoff_time is None:
should_delete = True
else:
file_time = datetime.fromtimestamp(cache_file.stat().st_mtime)
should_delete = file_time < cutoff_time
if should_delete:
cache_file.unlink()
cleared_count += 1
# 清理空目录
for date_dir in self.translations_dir.iterdir():
if date_dir.is_dir() and not any(date_dir.iterdir()):
date_dir.rmdir()
logger.info(f"清理了 {cleared_count} 个缓存文件")
return cleared_count
except Exception as e:
logger.error(f"清理缓存失败: {e}")
return 0
def get_cache_stats(self) -> Dict:
"""获取缓存统计信息"""
if not self.enabled or not self.translations_dir.exists():
return {'enabled': False}
try:
cache_files = list(self.translations_dir.rglob('*.json'))
total_files = len(cache_files)
total_size = sum(f.stat().st_size for f in cache_files)
# 统计段落数
total_paragraphs = 0
for cache_file in cache_files:
try:
with open(cache_file, 'r', encoding='utf-8') as f:
data = json.load(f)
total_paragraphs += data.get('paragraph_count', 0)
except:
continue
return {
'enabled': True,
'total_files': total_files,
'total_paragraphs': total_paragraphs,
'total_size_mb': round(total_size / 1024 / 1024, 2),
'cache_directory': str(self.cache_dir),
'max_age_days': self.max_age_days
}
except Exception as e:
logger.error(f"获取缓存统计失败: {e}")
return {'enabled': True, 'error': str(e)}