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- Added core caching functionality with `Cache` class supporting in-memory and file-based caching. - Introduced `CacheManager` for high-level cache operations and statistics. - Created various cache key generation strategies: `FilepathMethodStrategy`, `APIRequestStrategy`, `SimpleKeyStrategy`, and `CustomStrategy`. - Developed decorators for easy method caching: `cached`, `cached_method`, `cached_api`, and `cached_property`. - Implemented type definitions for cache entries and statistics. - Added comprehensive tests for cache operations, strategies, and decorators to ensure functionality and backward compatibility.
34 lines
897 B
Python
34 lines
897 B
Python
"""Type definitions for cache subsystem."""
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from typing import TypedDict, Any, Dict
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class CacheEntry(TypedDict):
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"""Type definition for cache entry structure.
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Attributes:
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value: The cached value (any JSON-serializable type)
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expires: Unix timestamp when entry expires
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"""
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value: Any
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expires: float
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class CacheStats(TypedDict):
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"""Type definition for cache statistics.
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Attributes:
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cache_dir: Path to cache directory
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subdirs: Statistics for each subdirectory
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total_files: Total number of cache files
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total_size_bytes: Total size in bytes
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total_size_mb: Total size in megabytes
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memory_cache_entries: Number of entries in memory cache
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"""
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cache_dir: str
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subdirs: Dict[str, Dict[str, Any]]
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total_files: int
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total_size_bytes: int
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total_size_mb: float
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memory_cache_entries: int
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