516 lines
18 KiB
Python
516 lines
18 KiB
Python
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"""Property-based tests for the analysis engine.
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Tests universal correctness properties using Hypothesis with minimum 100 iterations.
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Each test validates a specific property from the design document.
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"""
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import pytest
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from pathlib import Path
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from datetime import datetime
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from hypothesis import given, strategies as st, settings
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from vlm.models import (
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SeriesIdentity, SeasonCompleteness, MovieIdentity, VideoFile, DuplicateGroup
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)
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from vlm.analysis import analyze_series_completeness, detect_duplicates, compare_quality
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from vlm.reports import (
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generate_completeness_report, generate_duplicate_report, generate_summary_report
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)
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# Custom strategies for generating test data
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@st.composite
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def series_identity_strategy(draw, title=None, season=None):
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"""Generate a SeriesIdentity with optional fixed title and season."""
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if title is None:
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title = draw(st.text(min_size=1, max_size=50, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll', 'Nd'), whitelist_characters=' '
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)))
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if season is None:
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season = draw(st.integers(min_value=1, max_value=20))
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# Generate 1-3 episode numbers
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episode_count = draw(st.integers(min_value=1, max_value=3))
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episodes = draw(st.lists(
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st.integers(min_value=1, max_value=50),
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min_size=episode_count,
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max_size=episode_count,
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unique=True
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))
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confidence = draw(st.floats(min_value=0.5, max_value=1.0))
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needs_review = False
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original_filename = f"{title.replace(' ', '.')}.S{season:02d}E{episodes[0]:02d}.mkv"
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return SeriesIdentity(title, season, sorted(episodes), confidence, needs_review, original_filename)
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@st.composite
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def movie_identity_strategy(draw, title=None, year=None):
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"""Generate a MovieIdentity with optional fixed title and year."""
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if title is None:
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title = draw(st.text(min_size=1, max_size=50, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll', 'Nd'), whitelist_characters=' '
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)))
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if year is None:
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year = draw(st.integers(min_value=1900, max_value=2030))
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confidence = draw(st.floats(min_value=0.5, max_value=1.0))
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needs_review = False
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original_filename = f"{title.replace(' ', '.')}.{year}.mkv"
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return MovieIdentity(title, year, confidence, needs_review, original_filename)
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@st.composite
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def video_file_strategy(draw, filename=None, category="movie"):
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"""Generate a VideoFile with optional fixed filename."""
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if filename is None:
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filename = draw(st.text(min_size=5, max_size=50, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll', 'Nd'), whitelist_characters='.-_'
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))) + ".mkv"
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path = Path(f"/{category}/{filename}")
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size_bytes = draw(st.integers(min_value=1000000, max_value=10000000000))
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modified_timestamp = datetime.now()
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# Optional metadata
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has_metadata = draw(st.booleans())
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if has_metadata:
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resolution = draw(st.sampled_from(["1920x1080", "1280x720", "3840x2160", "720x480"]))
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codec = draw(st.sampled_from(["h264", "h265", "vp9", "av1"]))
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duration_seconds = draw(st.floats(min_value=300, max_value=10800))
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bitrate_kbps = draw(st.integers(min_value=500, max_value=20000))
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return VideoFile(path, filename, size_bytes, modified_timestamp, category,
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resolution, codec, duration_seconds, bitrate_kbps)
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else:
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return VideoFile(path, filename, size_bytes, modified_timestamp, category)
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# Property 10: Gap detection
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# Feature: video-library-manager, Property 10: Gap detection
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@settings(max_examples=100)
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@given(
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title=st.text(min_size=1, max_size=30, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll'), whitelist_characters=' '
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)),
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season=st.integers(min_value=1, max_value=10),
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# Generate a list of episode numbers with guaranteed gaps
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episodes_data=st.lists(
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st.integers(min_value=1, max_value=30),
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min_size=3,
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max_size=15,
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unique=True
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)
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)
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def test_property_10_gap_detection(title, season, episodes_data):
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"""Property 10: For any set of episodes within season, analysis SHALL detect
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missing episode numbers in range [min, max].
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Validates: Requirements 4.1, 4.2
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"""
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# Sort episodes and ensure there's at least one gap
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sorted_episodes = sorted(episodes_data)
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# Create episodes, intentionally removing one to create a gap
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if len(sorted_episodes) >= 3:
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# Remove a middle episode to guarantee a gap
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gap_index = len(sorted_episodes) // 2
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removed_episode = sorted_episodes[gap_index]
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episodes_with_gap = sorted_episodes[:gap_index] + sorted_episodes[gap_index + 1:]
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# Create SeriesIdentity objects
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episode_identities = [
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SeriesIdentity(title, season, [ep], 0.9, False, f"{title}.S{season:02d}E{ep:02d}.mkv")
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for ep in episodes_with_gap
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]
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# Analyze completeness
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result = analyze_series_completeness(episode_identities)
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# Should detect the gap
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if len(result) > 0:
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assert result[0].series_title == title
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assert result[0].season == season
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# The missing episode should be in the detected gaps
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min_ep = min(episodes_with_gap)
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max_ep = max(episodes_with_gap)
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expected_missing = set(range(min_ep, max_ep + 1)) - set(episodes_with_gap)
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assert set(result[0].episodes_missing) == expected_missing
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assert removed_episode in result[0].episodes_missing
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# Property 11: Multi-season independence
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# Feature: video-library-manager, Property 11: Multi-season independence
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@settings(max_examples=100)
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@given(
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title=st.text(min_size=1, max_size=30, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll'), whitelist_characters=' '
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)),
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season1_episodes=st.lists(st.integers(min_value=1, max_value=20), min_size=2, max_size=10, unique=True),
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season2_episodes=st.lists(st.integers(min_value=1, max_value=20), min_size=2, max_size=10, unique=True),
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)
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def test_property_11_multi_season_independence(title, season1_episodes, season2_episodes):
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"""Property 11: For any series with multiple seasons, gap detection of one
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season SHALL not affect others.
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Validates: Requirements 4.4
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"""
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# Create episodes for season 1 with a gap
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s1_sorted = sorted(season1_episodes)
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if len(s1_sorted) >= 3:
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gap_index = len(s1_sorted) // 2
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s1_with_gap = s1_sorted[:gap_index] + s1_sorted[gap_index + 1:]
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s1_missing = s1_sorted[gap_index]
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else:
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s1_with_gap = s1_sorted
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s1_missing = None
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# Create episodes for season 2 (complete, no gaps)
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s2_sorted = sorted(season2_episodes)
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s2_complete = list(range(min(s2_sorted), max(s2_sorted) + 1))
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# Create SeriesIdentity objects
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episode_identities = []
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for ep in s1_with_gap:
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episode_identities.append(
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SeriesIdentity(title, 1, [ep], 0.9, False, f"{title}.S01E{ep:02d}.mkv")
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)
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for ep in s2_complete:
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episode_identities.append(
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SeriesIdentity(title, 2, [ep], 0.9, False, f"{title}.S02E{ep:02d}.mkv")
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)
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# Analyze completeness
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result = analyze_series_completeness(episode_identities)
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# Season 2 should not appear in results (it's complete)
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season2_results = [r for r in result if r.season == 2]
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assert len(season2_results) == 0
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# Season 1 should appear if there's a gap
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if s1_missing is not None:
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season1_results = [r for r in result if r.season == 1]
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if len(season1_results) > 0:
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assert s1_missing in season1_results[0].episodes_missing
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# Property 12: Duplicate detection for movies
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# Feature: video-library-manager, Property 12: Duplicate detection for movies
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@settings(max_examples=100)
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@given(
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title=st.text(min_size=1, max_size=30, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll'), whitelist_characters=' '
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)),
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year=st.integers(min_value=1900, max_value=2030),
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duplicate_count=st.integers(min_value=2, max_value=5)
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)
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def test_property_12_duplicate_detection_movies(title, year, duplicate_count):
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"""Property 12: For any set of movies with identical normalized titles and years,
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all SHALL be grouped as duplicates.
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Validates: Requirements 5.1
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"""
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# Create multiple movie identities with same title and year
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identities = []
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files = []
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for i in range(duplicate_count):
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filename = f"{title.replace(' ', '.')}.{year}.{i}.mkv"
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identities.append(MovieIdentity(title, year, 0.9, False, filename))
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files.append(VideoFile(
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Path(f"/movies/{filename}"),
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filename,
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1000000000 + i * 100000000,
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datetime.now(),
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"movie"
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))
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# Detect duplicates
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result = detect_duplicates(identities, files)
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# Should find exactly one duplicate group
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assert len(result) == 1
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# The group should contain all files
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assert len(result[0].files) == duplicate_count
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# Identity should match
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assert result[0].identity.title == title
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assert result[0].identity.year == year
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# Property 13: Duplicate detection for series
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# Feature: video-library-manager, Property 13: Duplicate detection for series
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@settings(max_examples=100)
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@given(
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title=st.text(min_size=1, max_size=30, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll'), whitelist_characters=' '
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)),
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season=st.integers(min_value=1, max_value=10),
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episode=st.integers(min_value=1, max_value=30),
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duplicate_count=st.integers(min_value=2, max_value=5)
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)
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def test_property_13_duplicate_detection_series(title, season, episode, duplicate_count):
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"""Property 13: For any set of series files with identical normalized titles,
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seasons, and episodes, all SHALL be grouped as duplicates.
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Validates: Requirements 5.2
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"""
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# Create multiple series identities with same title, season, and episode
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identities = []
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files = []
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for i in range(duplicate_count):
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filename = f"{title.replace(' ', '.')}.S{season:02d}E{episode:02d}.{i}.mkv"
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identities.append(SeriesIdentity(title, season, [episode], 0.9, False, filename))
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files.append(VideoFile(
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Path(f"/series/{filename}"),
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filename,
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1000000000 + i * 100000000,
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datetime.now(),
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"series"
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))
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# Detect duplicates
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result = detect_duplicates(identities, files)
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# Should find exactly one duplicate group
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assert len(result) == 1
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# The group should contain all files
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assert len(result[0].files) == duplicate_count
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# Identity should match
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assert result[0].identity.title == title
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assert result[0].identity.season == season
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assert episode in result[0].identity.episodes
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# Property 14: Duplicate quality comparison
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# Feature: video-library-manager, Property 14: Duplicate quality comparison
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@settings(max_examples=100)
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@given(
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title=st.text(min_size=1, max_size=30, alphabet=st.characters(
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whitelist_categories=('Lu', 'Ll'), whitelist_characters=' '
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)),
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year=st.integers(min_value=1900, max_value=2030),
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file_count=st.integers(min_value=2, max_value=4)
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)
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def test_property_14_duplicate_quality_comparison(title, year, file_count):
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"""Property 14: For any duplicate group, comparison data SHALL include
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available metadata for each file.
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Validates: Requirements 5.3
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"""
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# Create movie identities and files with varying metadata
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identities = []
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files = []
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for i in range(file_count):
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filename = f"{title.replace(' ', '.')}.{year}.{i}.mkv"
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identities.append(MovieIdentity(title, year, 0.9, False, filename))
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# Some files have full metadata, some don't
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if i % 2 == 0:
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files.append(VideoFile(
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Path(f"/movies/{filename}"),
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filename,
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1000000000 + i * 100000000,
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datetime.now(),
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"movie",
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resolution="1920x1080",
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codec="h264",
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duration_seconds=7200.0,
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bitrate_kbps=5000
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))
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else:
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files.append(VideoFile(
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Path(f"/movies/{filename}"),
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filename,
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1000000000 + i * 100000000,
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datetime.now(),
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"movie"
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))
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# Detect duplicates
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result = detect_duplicates(identities, files)
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# Should have quality comparison data
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assert len(result) == 1
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assert len(result[0].quality_comparison) == file_count
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# Each comparison entry should have at least filename and size
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for comparison in result[0].quality_comparison:
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assert 'filename' in comparison
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assert 'size_bytes' in comparison
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assert 'path' in comparison
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# Files with metadata should have those fields
|
||
|
|
if comparison['filename'].endswith('.0.mkv') or comparison['filename'].endswith('.2.mkv'):
|
||
|
|
assert 'resolution' in comparison
|
||
|
|
assert 'codec' in comparison
|
||
|
|
assert 'duration_seconds' in comparison
|
||
|
|
assert 'bitrate_kbps' in comparison
|
||
|
|
|
||
|
|
|
||
|
|
# Property 42: Completeness report
|
||
|
|
# Feature: video-library-manager, Property 42: Completeness report
|
||
|
|
@settings(max_examples=100)
|
||
|
|
@given(
|
||
|
|
series_count=st.integers(min_value=1, max_value=5),
|
||
|
|
format=st.sampled_from(["text", "json"])
|
||
|
|
)
|
||
|
|
def test_property_42_completeness_report(series_count, format):
|
||
|
|
"""Property 42: For any set of analyzed series, completeness report SHALL
|
||
|
|
include all series with detected gaps.
|
||
|
|
|
||
|
|
Validates: Requirements 11.2
|
||
|
|
"""
|
||
|
|
# Create series with gaps
|
||
|
|
analysis_results = []
|
||
|
|
|
||
|
|
for i in range(series_count):
|
||
|
|
title = f"Series {i}"
|
||
|
|
season = 1
|
||
|
|
episodes_found = [1, 2, 4, 5] # Gap at episode 3
|
||
|
|
episodes_missing = [3]
|
||
|
|
|
||
|
|
analysis_results.append(SeasonCompleteness(
|
||
|
|
series_title=title,
|
||
|
|
season=season,
|
||
|
|
episodes_found=episodes_found,
|
||
|
|
episodes_missing=episodes_missing
|
||
|
|
))
|
||
|
|
|
||
|
|
# Generate report
|
||
|
|
library_root = Path("/test/library")
|
||
|
|
report = generate_completeness_report(analysis_results, format, library_root)
|
||
|
|
|
||
|
|
# Report should include all series
|
||
|
|
for i in range(series_count):
|
||
|
|
assert f"Series {i}" in report
|
||
|
|
|
||
|
|
# Report should include metadata
|
||
|
|
assert str(library_root) in report
|
||
|
|
|
||
|
|
|
||
|
|
# Property 43: Duplicate report grouping
|
||
|
|
# Feature: video-library-manager, Property 43: Duplicate report grouping
|
||
|
|
@settings(max_examples=100)
|
||
|
|
@given(
|
||
|
|
duplicate_count=st.integers(min_value=1, max_value=5),
|
||
|
|
format=st.sampled_from(["text", "json"])
|
||
|
|
)
|
||
|
|
def test_property_43_duplicate_report_grouping(duplicate_count, format):
|
||
|
|
"""Property 43: For any set of detected duplicates, duplicate report SHALL
|
||
|
|
group files by identity with comparison data.
|
||
|
|
|
||
|
|
Validates: Requirements 11.3
|
||
|
|
"""
|
||
|
|
# Create duplicate groups
|
||
|
|
duplicate_groups = []
|
||
|
|
|
||
|
|
for i in range(duplicate_count):
|
||
|
|
title = f"Movie {i}"
|
||
|
|
year = 2020 + i
|
||
|
|
|
||
|
|
# Create 2 files for each duplicate group
|
||
|
|
files = []
|
||
|
|
quality_comparison = []
|
||
|
|
|
||
|
|
for j in range(2):
|
||
|
|
filename = f"{title.replace(' ', '.')}.{year}.{j}.mkv"
|
||
|
|
file = VideoFile(
|
||
|
|
Path(f"/movies/{filename}"),
|
||
|
|
filename,
|
||
|
|
1000000000 + j * 500000000,
|
||
|
|
datetime.now(),
|
||
|
|
"movie",
|
||
|
|
resolution="1920x1080" if j == 0 else "1280x720",
|
||
|
|
codec="h264"
|
||
|
|
)
|
||
|
|
files.append(file)
|
||
|
|
quality_comparison.append({
|
||
|
|
'filename': filename,
|
||
|
|
'path': str(file.path),
|
||
|
|
'size_bytes': file.size_bytes,
|
||
|
|
'resolution': file.resolution,
|
||
|
|
'codec': file.codec
|
||
|
|
})
|
||
|
|
|
||
|
|
identity = MovieIdentity(title, year, 0.9, False, files[0].filename)
|
||
|
|
duplicate_groups.append(DuplicateGroup(identity, files, quality_comparison))
|
||
|
|
|
||
|
|
# Generate report
|
||
|
|
library_root = Path("/test/library")
|
||
|
|
report = generate_duplicate_report(duplicate_groups, format, library_root)
|
||
|
|
|
||
|
|
# Report should include all duplicate groups
|
||
|
|
for i in range(duplicate_count):
|
||
|
|
assert f"Movie {i}" in report
|
||
|
|
|
||
|
|
# Report should include comparison data (file sizes, resolutions)
|
||
|
|
assert "1920x1080" in report or "resolution" in report.lower()
|
||
|
|
|
||
|
|
# Report should include metadata
|
||
|
|
assert str(library_root) in report
|
||
|
|
|
||
|
|
|
||
|
|
# Property 44: Summary report accuracy
|
||
|
|
# Feature: video-library-manager, Property 44: Summary report accuracy
|
||
|
|
@settings(max_examples=100)
|
||
|
|
@given(
|
||
|
|
file_count=st.integers(min_value=1, max_value=20),
|
||
|
|
categories=st.lists(
|
||
|
|
st.sampled_from(["movie", "series", "anime", "other"]),
|
||
|
|
min_size=1,
|
||
|
|
max_size=4
|
||
|
|
)
|
||
|
|
)
|
||
|
|
def test_property_44_summary_report_accuracy(file_count, categories):
|
||
|
|
"""Property 44: For any scanned library, summary report SHALL contain
|
||
|
|
accurate counts and sizes.
|
||
|
|
|
||
|
|
Validates: Requirements 11.4
|
||
|
|
"""
|
||
|
|
# Create video files
|
||
|
|
files = []
|
||
|
|
total_size = 0
|
||
|
|
category_counts = {}
|
||
|
|
|
||
|
|
for i in range(file_count):
|
||
|
|
category = categories[i % len(categories)]
|
||
|
|
size = 1000000000 + i * 100000000
|
||
|
|
filename = f"file_{i}.mkv"
|
||
|
|
|
||
|
|
files.append(VideoFile(
|
||
|
|
Path(f"/{category}/{filename}"),
|
||
|
|
filename,
|
||
|
|
size,
|
||
|
|
datetime.now(),
|
||
|
|
category
|
||
|
|
))
|
||
|
|
|
||
|
|
total_size += size
|
||
|
|
category_counts[category] = category_counts.get(category, 0) + 1
|
||
|
|
|
||
|
|
# Generate summary report
|
||
|
|
library_root = Path("/test/library")
|
||
|
|
report = generate_summary_report(files, library_root)
|
||
|
|
|
||
|
|
# Report should include total file count
|
||
|
|
assert f"Total Files: {file_count}" in report
|
||
|
|
|
||
|
|
# Report should include category breakdown
|
||
|
|
for category, count in category_counts.items():
|
||
|
|
assert category.capitalize() in report
|
||
|
|
assert f"Files: {count}" in report
|
||
|
|
|
||
|
|
# Report should include metadata
|
||
|
|
assert str(library_root) in report
|