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feat(cache): Implement unified caching subsystem with decorators, strategies, and management
- 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.
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@@ -1,5 +1,6 @@
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import pytest
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from pathlib import Path
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from unittest.mock import MagicMock
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from renamer.extractors.mediainfo_extractor import MediaInfoExtractor
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import json
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@@ -17,7 +18,14 @@ class TestMediaInfoExtractor:
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@pytest.fixture
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def frame_class_cases(self):
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"""Load test cases for frame class extraction"""
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# Try the expected file first, fallback to the main frame class test file
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cases_file = Path(__file__).parent / "test_mediainfo_frame_class_cases.json"
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if not cases_file.exists():
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cases_file = Path(__file__).parent / "test_mediainfo_frame_class.json"
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if not cases_file.exists():
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pytest.skip(f"Test case file not found: {cases_file}")
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with open(cases_file, 'r') as f:
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return json.load(f)
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@@ -57,20 +65,21 @@ class TestMediaInfoExtractor:
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# Text files don't have video tracks
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assert is_3d is False
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@pytest.mark.parametrize("case", [
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pytest.param(case, id=case["testname"])
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for case in json.load(open(Path(__file__).parent / "test_mediainfo_frame_class_cases.json"))
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])
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def test_extract_frame_class(self, case):
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"""Test extracting frame class from various resolutions"""
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# Create a mock extractor with the test resolution
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extractor = MediaInfoExtractor.__new__(MediaInfoExtractor)
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extractor.video_tracks = [{
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'width': case["resolution"][0],
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'height': case["resolution"][1],
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'interlaced': 'Yes' if case["interlaced"] else None
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}]
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result = extractor.extract_frame_class()
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print(f"Case: {case['testname']}, resolution: {case['resolution']}, expected: {case['expected_frame_class']}, got: {result}")
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assert result == case["expected_frame_class"], f"Failed for {case['testname']}: expected {case['expected_frame_class']}, got {result}"
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def test_extract_frame_class_parametrized(self, frame_class_cases):
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"""Test extracting frame class from various resolutions using fixture"""
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for case in frame_class_cases:
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# Create a mock extractor with the test resolution
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extractor = MagicMock(spec=MediaInfoExtractor)
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extractor.file_path = Path(f"test_{case['testname']}")
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# Mock the video_tracks with proper attributes
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mock_track = MagicMock()
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mock_track.height = case["resolution"][1]
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mock_track.width = case["resolution"][0]
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mock_track.interlaced = 'Yes' if case["interlaced"] else 'No'
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extractor.video_tracks = [mock_track]
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# Call the actual method
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result = MediaInfoExtractor.extract_frame_class(extractor)
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assert result == case["expected_frame_class"], f"Failed for {case['testname']}: expected {case['expected_frame_class']}, got {result}"
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