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| from pathlib import Path | |
| from talentry.io.candidates import load_candidates | |
| from talentry.ranker import parse_job_description, rank_candidates | |
| SAMPLE = Path(__file__).parent.parent / "data" / "raw" / "sample_candidates.json" | |
| def test_pipeline_runs_on_sample_and_ranks_recsys_engineer_first(): | |
| cands = load_candidates(SAMPLE) | |
| jd = parse_job_description(None) | |
| ranked = rank_candidates(cands, jd, top_k=5) | |
| assert len(ranked) == 5 | |
| # Ela Singh - explicit Recommendation Systems Engineer at Swiggy - should | |
| # easily rank #1 against this JD on this sample. | |
| assert ranked[0].candidate_id == "CAND_0000031" | |
| assert ranked[0].score >= ranked[1].score | |
| def test_scores_are_non_increasing(): | |
| cands = load_candidates(SAMPLE) | |
| jd = parse_job_description(None) | |
| ranked = rank_candidates(cands, jd, top_k=20) | |
| scores = [r.score for r in ranked] | |
| assert scores == sorted(scores, reverse=True) | |