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geointel/scripts/run_golden_qa_benchmark.py
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Initial GeoIntel V1 foundation
2026-06-16 23:36:32 +02:00

175 lines
6.2 KiB
Python

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