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ba71465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | 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)
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