Files
LangBot/plugins/KnowledgeEngine/LangRAG/tests/test_benchmark_metrics.py

41 lines
1.3 KiB
Python

import unittest
from benchmarks.metrics import dedupe_in_order, metrics_at_k
class BenchmarkMetricsTests(unittest.TestCase):
def test_dedupe_in_order_keeps_first_occurrence(self):
self.assertEqual(
dedupe_in_order(["doc1", "doc2", "doc1", "doc3"]),
["doc1", "doc2", "doc3"],
)
def test_metrics_at_k_scores_document_relevance(self):
metrics = metrics_at_k(
relevant_document_ids=["doc2", "doc4"],
retrieved_document_ids=["doc1", "doc2", "doc3"],
k=3,
)
self.assertEqual(metrics["hit@3"], 1.0)
self.assertEqual(metrics["all_relevant@3"], 0.0)
self.assertAlmostEqual(metrics["precision@3"], 1 / 3)
self.assertAlmostEqual(metrics["recall@3"], 1 / 2)
self.assertAlmostEqual(metrics["mrr@3"], 1 / 2)
self.assertGreater(metrics["ndcg@3"], 0.0)
def test_metrics_at_k_scores_all_relevant_success(self):
metrics = metrics_at_k(
relevant_document_ids=["doc2", "doc4"],
retrieved_document_ids=["doc4", "doc1", "doc2"],
k=3,
)
self.assertEqual(metrics["hit@3"], 1.0)
self.assertEqual(metrics["all_relevant@3"], 1.0)
self.assertEqual(metrics["recall@3"], 1.0)
if __name__ == "__main__":
unittest.main()