Add unit tests for Python matching script #14

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opened 2026-01-17 18:12:26 +00:00 by joezombie · 1 comment

joezombie commented

2026-01-17 18:12:26 +00:00

(Migrated from github.com)

Priority

Low

Description

Create comprehensive unit tests for the Python fuzzy matching script to ensure correctness and prevent regressions.

Files to Create

test_match_episodes.py

Test Coverage Needed

Fuzzy matching algorithm
Part number extraction
Title normalization
Similarity scoring
File path handling
Error handling paths

Example Tests

import unittest
from match_episodes import (
    normalize_title, 
    extract_part_number,
    similarity_score
)

class TestFuzzyMatching(unittest.TestCase):
    def test_normalize_title(self):
        title = "Episode Name | BEHIND THE BASTARDS"
        expected = "Episode Name"
        self.assertEqual(normalize_title(title), expected)
    
    def test_extract_part_number(self):
        self.assertEqual(extract_part_number("Part One: Title"), 1)
        self.assertEqual(extract_part_number("Part Two: Title"), 2)
        self.assertEqual(extract_part_number("Pt 3: Title"), 3)
        self.assertIsNone(extract_part_number("No Part"))
    
    def test_similarity_score(self):
        score = similarity_score("Episode Name", "Episode Name")
        self.assertGreater(score, 0.9)

Benefits

Prevents regressions
Validates algorithm correctness
Easier refactoring
Documentation of expected behavior

References

CODE_REVIEW.md: Testing section
RECOMMENDATIONS.md: Priority 4, Item 1

Estimate

2 hours

## Priority Low ## Description Create comprehensive unit tests for the Python fuzzy matching script to ensure correctness and prevent regressions. ## Files to Create - `test_match_episodes.py` ## Test Coverage Needed 1. Fuzzy matching algorithm 2. Part number extraction 3. Title normalization 4. Similarity scoring 5. File path handling 6. Error handling paths ## Example Tests ```python import unittest from match_episodes import ( normalize_title, extract_part_number, similarity_score ) class TestFuzzyMatching(unittest.TestCase): def test_normalize_title(self): title = "Episode Name | BEHIND THE BASTARDS" expected = "Episode Name" self.assertEqual(normalize_title(title), expected) def test_extract_part_number(self): self.assertEqual(extract_part_number("Part One: Title"), 1) self.assertEqual(extract_part_number("Part Two: Title"), 2) self.assertEqual(extract_part_number("Pt 3: Title"), 3) self.assertIsNone(extract_part_number("No Part")) def test_similarity_score(self): score = similarity_score("Episode Name", "Episode Name") self.assertGreater(score, 0.9) ``` ## Benefits - Prevents regressions - Validates algorithm correctness - Easier refactoring - Documentation of expected behavior ## References - CODE_REVIEW.md: Testing section - RECOMMENDATIONS.md: Priority 4, Item 1 ## Estimate 2 hours

joezombie commented

2026-01-17 20:23:06 +00:00

(Migrated from github.com)

Resolved in merged PR