230 lines
8.4 KiB
Python
230 lines
8.4 KiB
Python
from __future__ import annotations
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import argparse
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import json
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import sys
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from pathlib import Path
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from uuid import uuid4
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ROOT = Path(__file__).resolve().parents[1]
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BACKEND_ROOT = ROOT / "backend"
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if str(BACKEND_ROOT) not in sys.path:
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sys.path.insert(0, str(BACKEND_ROOT))
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from app.models import Area, Dataset, Metric, QualityCheck # noqa: E402
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from app.services.qa_service import QaService # noqa: E402
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from app.services.quality_service import QualityService # noqa: E402
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class BenchmarkSession:
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def __init__(self, datasets: list[Dataset]) -> None:
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self.datasets = {dataset.id: dataset for dataset in datasets}
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self.added: list[object] = []
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self.commits = 0
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self.refreshes: list[object] = []
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def get(self, model, item_id):
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if model.__name__ == "Dataset":
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return self.datasets.get(item_id)
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if model.__name__ == "Area":
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return None
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return None
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def add(self, item) -> None:
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self.added.append(item)
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def commit(self) -> None:
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self.commits += 1
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def refresh(self, item) -> None:
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self.refreshes.append(item)
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def _load_manifest() -> dict:
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manifest_path = ROOT / "fixtures" / "golden" / "golden_qa_benchmarks.json"
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if manifest_path.exists():
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manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
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if not isinstance(manifest.get("scenarios"), list) or not manifest["scenarios"]:
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raise AssertionError("golden_qa_benchmarks.json must define at least one scenario")
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return manifest
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# Backwards-compatible fallback for older checkouts and local smoke scripts.
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expected = json.loads((ROOT / "fixtures" / "golden" / "expected_qa_metrics.json").read_text(encoding="utf-8"))
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return {"version": 0, "scenarios": [expected]}
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def _dataset(dataset_id, project_id, name: str, path: Path, *, role: str) -> Dataset:
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return Dataset(
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id=dataset_id,
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project_id=project_id,
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name=name,
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dataset_type="vector",
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source="golden_fixture",
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dataset_role=role,
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source_name="fixture",
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reference_layer_name="buildings" if role == "reference" else None,
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storage_path=str(path),
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crs="EPSG:4326",
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metadata_json={"crs_assumed": False},
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status="ready",
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)
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def _assert_close(label: str, actual: float | int | None, expected: float | int | None, tolerance: float) -> None:
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if expected is None:
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if actual is not None:
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raise AssertionError(f"{label} drifted: actual={actual}, expected=None")
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return
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if actual is None:
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raise AssertionError(f"{label} is None, expected {expected}")
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if abs(float(actual) - float(expected)) > tolerance:
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raise AssertionError(f"{label} drifted: actual={actual}, expected={expected}, tolerance={tolerance}")
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def _run_scenario(expected: dict, session: BenchmarkSession, project_id) -> dict:
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added_before = len(session.added)
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commits_before = session.commits
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candidate_dataset_id = uuid4()
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reference_dataset_id = uuid4()
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candidate_path = ROOT / expected["candidate_fixture"]
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reference_path = ROOT / expected["reference_fixture"]
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tolerance = float(expected["tolerance"])
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session.datasets[candidate_dataset_id] = _dataset(
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candidate_dataset_id,
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project_id,
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Path(expected["candidate_fixture"]).name,
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candidate_path,
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role="source",
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)
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session.datasets[reference_dataset_id] = _dataset(
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reference_dataset_id,
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project_id,
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Path(expected["reference_fixture"]).name,
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reference_path,
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role="reference",
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)
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result = QaService.compare_candidate_with_reference(
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db=session,
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project_id=project_id,
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candidate_dataset_id=candidate_dataset_id,
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reference_dataset_id=reference_dataset_id,
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iou_threshold=float(expected["iou_threshold"]),
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)
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metrics = {
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"precision": result.precision,
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"recall": result.recall,
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"f1": result.f1_score,
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"mean_iou": result.mean_iou,
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"false_positive_count": result.false_positives,
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"false_negative_count": result.false_negatives,
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}
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_assert_close("candidate_feature_count", result.candidate_feature_count, expected["candidate_feature_count"], 0)
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_assert_close("reference_feature_count", result.reference_feature_count, expected["reference_feature_count"], 0)
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_assert_close("matches", result.matches, expected["matches"], 0)
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_assert_close("false_positive_count", result.false_positives, expected["false_positive_count"], 0)
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_assert_close("false_negative_count", result.false_negatives, expected["false_negative_count"], 0)
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_assert_close("precision", result.precision, expected["precision"], tolerance)
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_assert_close("recall", result.recall, expected["recall"], tolerance)
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_assert_close("f1", result.f1_score, expected["f1"], tolerance)
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_assert_close("mean_iou", result.mean_iou, expected["mean_iou"], tolerance)
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quality_check = QualityService.persist_quality_check(
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db=session,
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project_id=project_id,
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reference_dataset_id=reference_dataset_id,
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check_type="golden_candidate_vs_reference",
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status=result.status,
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score=result.f1_score,
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parameters={"iou_threshold": result.iou_threshold, "benchmark_id": expected["benchmark_id"]},
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findings={
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"matches": result.matches,
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"false_positives": result.false_positives,
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"false_negatives": result.false_negatives,
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},
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candidate_dataset_id=candidate_dataset_id,
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metrics=metrics,
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)
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scenario_added = session.added[added_before:]
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persisted_metrics = [item for item in scenario_added if isinstance(item, Metric)]
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return {
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"status": "passed",
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"benchmark_id": expected["benchmark_id"],
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"description": expected.get("description"),
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"metrics": metrics,
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"result_counts": {
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"candidate_feature_count": result.candidate_feature_count,
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"reference_feature_count": result.reference_feature_count,
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"matches": result.matches,
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},
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"quality_check_id": str(quality_check.id),
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"persistence": {
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"quality_check_count": len([item for item in scenario_added if isinstance(item, QualityCheck)]),
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"metric_count": len(persisted_metrics),
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"metric_keys": [metric.metric_key for metric in persisted_metrics],
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"commit_count": session.commits - commits_before,
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},
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"fixtures": {
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"candidate": expected["candidate_fixture"],
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"reference": expected["reference_fixture"],
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},
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}
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def run_benchmark() -> dict:
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manifest = _load_manifest()
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project_id = uuid4()
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session = BenchmarkSession([])
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scenarios = [_run_scenario(expected, session, project_id) for expected in manifest["scenarios"]]
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persisted_metrics = [item for item in session.added if isinstance(item, Metric)]
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aggregate_metric_keys = sorted({metric.metric_key for metric in persisted_metrics})
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first = scenarios[0]
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return {
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"status": "passed",
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"version": manifest.get("version"),
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"scenario_count": len(scenarios),
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"scenarios": scenarios,
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"persistence": {
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"quality_check_count": len([item for item in session.added if isinstance(item, QualityCheck)]),
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"metric_count": len(persisted_metrics),
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"metric_keys": aggregate_metric_keys,
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"commit_count": session.commits,
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},
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# Compatibility fields for scripts that still read the original single-scenario shape.
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"benchmark_id": first["benchmark_id"],
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"metrics": first["metrics"],
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"fixtures": first["fixtures"],
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}
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def main() -> int:
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parser = argparse.ArgumentParser(description="Run GeoIntel golden QA/QC benchmark.")
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parser.add_argument("--json", action="store_true", help="Print machine-readable JSON only.")
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args = parser.parse_args()
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try:
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payload = run_benchmark()
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except Exception as exc:
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if args.json:
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print(json.dumps({"status": "failed", "error": str(exc)}, indent=2))
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else:
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print(f"Golden QA/QC benchmark failed: {exc}", file=sys.stderr)
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return 1
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if args.json:
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print(json.dumps(payload, indent=2, sort_keys=True))
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else:
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print("GeoIntel golden QA/QC benchmark passed")
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print(json.dumps(payload, indent=2, sort_keys=True))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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