Parse single epoch training curves

backend/app/modules/results/service.py

@@ -183,7 +183,7 @@ def parse_training_curve(path: Path, max_points: int = 300) -> dict | None:
             y = _as_float(row.get(name))
             if y is not None:
                 points.append({"x": x, "y": y})
-        if len(points) >= 2:
+        if points:
             values = [point["y"] for point in points]
             series.append({"name": name, "points": points, "last": values[-1], "min": min(values), "max": max(values)})
     if not series:

backend/tests/test_results_service.py

@@ -28,6 +28,26 @@ def test_parse_yolo_results_curve(tmp_path: Path):
     assert all("lr/" not in name for name in names)
 
 
+def test_parse_single_epoch_yolo_results_curve(tmp_path: Path):
+    csv_path = tmp_path / "results.csv"
+    csv_path.write_text(
+        "\n".join(
+            [
+                "epoch,time,train/box_loss,train/seg_loss,metrics/mAP50(M),lr/pg0",
+                "1,1.0,1.5,3.0,0.12,0.001",
+            ]
+        ),
+        encoding="utf-8",
+    )
+
+    curve = parse_training_curve(csv_path)
+
+    assert curve is not None
+    assert curve["row_count"] == 1
+    seg_loss = next(item for item in curve["series"] if item["name"] == "train/seg_loss")
+    assert seg_loss["points"] == [{"x": 1.0, "y": 3.0}]
+
+
 def test_results_api_honors_limit(monkeypatch):
     calls = {}