fix(dataset): snake case

src/nrtk_explorer/app/transforms.py

@@ -33,7 +33,7 @@
 import nrtk_explorer.test_data
 from nrtk_explorer.app.trame_utils import delete_state
 from nrtk_explorer.app.image_ids import image_id_to_dataset_id, image_id_to_result_id, DatasetId
-from nrtk_explorer.library.dataset import getDataset
+from nrtk_explorer.library.dataset import get_dataset
 
 
 logger = logging.getLogger(__name__)
@@ -146,7 +146,7 @@ def on_apply_transform(self, *args, **kwargs):
         if len(transformed_image_ids) == 0:
             return
 
-        dataset = getDataset(self.state.current_dataset)
+        dataset = get_dataset(self.state.current_dataset)
 
         # Erase current annotations
         dataset_ids = [image_id_to_dataset_id(id) for id in self.state.source_image_ids]
@@ -221,7 +221,7 @@ def compute_annotations(self, ids):
         return predictions
 
     def on_current_num_elements_change(self, current_num_elements, **kwargs):
-        dataset = getDataset(self.state.current_dataset)
+        dataset = get_dataset(self.state.current_dataset)
         ids = [img["id"] for img in dataset["images"]]
         return self.set_source_images(ids[:current_num_elements])
 
@@ -236,7 +236,7 @@ def compute_predictions_source_images(self, old_ids, ids):
         if len(ids) == 0:
             return
 
-        dataset = getDataset(self.state.current_dataset)
+        dataset = get_dataset(self.state.current_dataset)
 
         annotations = self.compute_annotations(ids)
         self.predictions_source_images = convert_from_predictions_to_first_arg(
@@ -280,7 +280,7 @@ def _update_images(self, selected_ids):
 
         current_dir = os.path.dirname(self.state.current_dataset)
 
-        dataset = getDataset(self.state.current_dataset)
+        dataset = get_dataset(self.state.current_dataset)
 
         for selected_id in selected_ids:
             image_index = self.context.image_id_to_index[selected_id]
@@ -345,7 +345,7 @@ def on_current_dataset_change(self, current_dataset, **kwargs):
 
         self.reset_data()
 
-        dataset = getDataset(current_dataset)
+        dataset = get_dataset(current_dataset)
         categories = {}
 
         for category in dataset["categories"]:

src/nrtk_explorer/library/dataset.py

@@ -27,18 +27,18 @@ class Dataset(TypedDict):
     annotations: List[DatasetAnnotation]
 
 
-def loadDataset(path: str) -> Dataset:
+def load_dataset(path: str) -> Dataset:
     with open(path) as f:
         return json.load(f)
 
 
-datasetJson: Dataset = {"categories": [], "images": [], "annotations": []}
-_datasetPath: str = ""
+dataset_json: Dataset = {"categories": [], "images": [], "annotations": []}
+dataset_path: str = ""
 
 
-def getDataset(path: str) -> Dataset:
-    global datasetJson, _datasetPath
-    if _datasetPath != path:
-        _datasetPath = path
-        datasetJson = loadDataset(_datasetPath)
-    return datasetJson
+def get_dataset(path: str) -> Dataset:
+    global dataset_json, dataset_path
+    if dataset_path != path:
+        dataset_path = path
+        dataset_json = load_dataset(dataset_path)
+    return dataset_json