Record unique hard-negative YOLO candidate gate

2026-07-09 03:54:48 +02:00
parent afd2cba7c8
commit 4e9fe6ccb1
6 changed files with 202 additions and 7 deletions
@@ -167,3 +167,88 @@ def test_detection_model_promotion_report_combines_positive_and_background_gates
    assert "candidate-clean" in markdown
    assert "candidate-leaky" in markdown
    assert "background_false_positive_pressure" in markdown
+
+
+def test_detection_model_promotion_report_uses_portfolio_and_tile_defaults(
+    tmp_path: Path,
+) -> None:
+    script_path = ROOT / "scripts" / "build_detection_model_promotion_report.py"
+
+    positive_path = tmp_path / "positive_portfolio.json"
+    positive_path.write_text(
+        json.dumps(
+            {
+                "portfolio_name": "Positive AOI portfolio",
+                "model_asset_id": "candidate-from-portfolio",
+                "samples": [
+                    {
+                        "sample_slug": "geel",
+                        "runs": [
+                            {
+                                "model_asset_id": None,
+                                "tile_size": None,
+                                "tile_overlap": None,
+                                "threshold": 0.25,
+                                "precision": 0.7,
+                                "recall": 0.42,
+                                "f1_score": 0.525,
+                            }
+                        ],
+                    }
+                ],
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    background_path = tmp_path / "hard_negative_matrix_summary.json"
+    background_path.write_text(
+        json.dumps(
+            {
+                "items": [
+                    {
+                        "sample_slug": "postel_bos",
+                        "model_asset_id": "candidate-from-portfolio",
+                        "tile_size": 640,
+                        "tile_overlap": 64,
+                        "threshold": 0.25,
+                        "detection_count": 0,
+                    }
+                ]
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    output_dir = tmp_path / "promotion-report"
+    subprocess.run(
+        [
+            "python",
+            str(script_path),
+            "--positive-portfolio",
+            str(positive_path),
+            "--hard-negative-summary",
+            str(background_path),
+            "--output-dir",
+            str(output_dir),
+            "--min-positive-samples",
+            "1",
+            "--min-background-samples",
+            "1",
+            "--min-mean-f1",
+            "0.35",
+            "--max-background-detections-per-sample",
+            "0",
+            "--default-positive-tile-size",
+            "640",
+            "--default-positive-tile-overlap",
+            "64",
+        ],
+        cwd=ROOT,
+        check=True,
+        text=True,
+        capture_output=True,
+    )
+
+    report = json.loads((output_dir / "detection_model_promotion_report.json").read_text(encoding="utf-8"))
+    assert report["recommended_candidate"]["candidate_key"] == "candidate-from-portfolio|640|64|0.25"