| import json | |
| from validation.engine_comparison import ENGINES, run_engine_comparison | |
| def test_engine_comparison_smoke(tmp_path) -> None: | |
| results_path = tmp_path / "engine_comparison.json" | |
| db_path = tmp_path / "engine_compare.db" | |
| report = run_engine_comparison( | |
| dataset_size=100, | |
| seed=17, | |
| source_jsonl=None, | |
| use_default_off_source=False, | |
| llm_provider="simulated", | |
| llm_model=None, | |
| perl_rules_dir=None, | |
| db_path=db_path, | |
| results_path=results_path, | |
| ) | |
| assert results_path.exists() | |
| parsed = json.loads(results_path.read_text(encoding="utf-8")) | |
| assert parsed["engines"] == list(ENGINES) | |
| assert set(parsed["per_engine_summary"].keys()) == set(ENGINES) | |
| assert len(parsed["rule_comparison"]) > 0 | |
| assert "comparison_method" in parsed | |
| assert "run_config" in parsed | |
| assert "per_complexity_summary" in parsed | |
| assert parsed["run_config"]["soda_mode"] == "local" | |
| assert "comparison_fingerprint" in parsed | |
| assert "engine_run_fingerprints" in parsed | |
| assert parsed["comparison_fingerprint"]["dataset_fingerprint_consistent"] is True | |
| assert parsed["comparison_fingerprint"]["rulepack_fingerprint_consistent"] is True | |
| first_rule = parsed["rule_comparison"][0] | |
| assert set(first_rule["engines"].keys()) == set(ENGINES) | |
| assert "best_engine" in first_rule | |
| assert "recommendation" in first_rule | |
| assert "complexity" in first_rule | |
| assert "effective_confidence" in first_rule["engines"]["python"] | |
| assert "provider_factor" in first_rule["engines"]["python"] | |
| assert report["engines"] == list(ENGINES) | |