wip

integration_tests/client/models/test_model.py

@@ -192,6 +192,12 @@ def test_create_image_model_with_predicted_detections(
         assert fx_points in db_point_lists
 
 
+def _convert_bitstring_to_numpy(bitmask: models.Bitmask):
+    return np.array([bit == "1" for bit in bitmask.value]).reshape(
+        (bitmask.height, bitmask.width)
+    )
+
+
 def test_create_model_with_predicted_segmentations(
     db: Session,
     client: Client,
@@ -217,17 +223,21 @@ def test_create_model_with_predicted_segmentations(
     # grab the segmentation from the db, recover the mask, and check
     # its equal to the mask the client sent over
     db_annotations = (
-        db.query(models.Annotation)
+        db.query(models.Bitmask)
+        .join(
+            models.Annotation,
+            models.Annotation.bitmask_id == models.Bitmask.id,
+        )
         .where(models.Annotation.model_id.isnot(None))
         .all()
     )
 
     if db_annotations[0].datum_id < db_annotations[1].datum_id:
-        raster_uid1 = db_annotations[0].raster
-        raster_uid2 = db_annotations[1].raster
+        raster_uid1 = _convert_bitstring_to_numpy(db_annotations[0])
+        raster_uid2 = _convert_bitstring_to_numpy(db_annotations[1])
     else:
-        raster_uid1 = db_annotations[1].raster
-        raster_uid2 = db_annotations[0].raster
+        raster_uid1 = _convert_bitstring_to_numpy(db_annotations[1])
+        raster_uid2 = _convert_bitstring_to_numpy(db_annotations[0])
 
     # test raster 1
     png_from_db = db.scalar(ST_AsPNG(raster_uid1))