28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
|
from data_comparator import KSTCoordiComparator
|
||
|
|
|
||
|
|
def test_grouping():
|
||
|
|
comparator = KSTCoordiComparator('data/sample-data.xlsx')
|
||
|
|
if comparator.load_data():
|
||
|
|
summary = comparator.get_comparison_summary()
|
||
|
|
|
||
|
|
print("=== GROUPED BY TITLE TEST ===")
|
||
|
|
print(f"Total unique titles: {len(summary['grouped_by_title']['title_summaries'])}")
|
||
|
|
print()
|
||
|
|
|
||
|
|
# Show top 5 titles with worst match percentages
|
||
|
|
sorted_titles = sorted(
|
||
|
|
summary['grouped_by_title']['title_summaries'].items(),
|
||
|
|
key=lambda x: x[1]['match_percentage']
|
||
|
|
)
|
||
|
|
|
||
|
|
print("Top 5 titles needing attention (worst match %):")
|
||
|
|
for i, (title, data) in enumerate(sorted_titles[:5]):
|
||
|
|
print(f"{i+1}. {title}")
|
||
|
|
print(f" Total Episodes: {data['total_episodes']}")
|
||
|
|
print(f" Matched: {data['matched_count']} ({data['match_percentage']}%)")
|
||
|
|
print(f" KST Only: {data['kst_only_count']}")
|
||
|
|
print(f" Coordi Only: {data['coordi_only_count']}")
|
||
|
|
print()
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
test_grouping()
|