feat(init): add a no-metricize option (#152)

* feat(init): add a no-metricize option

* fix(outliers): prevent int/float mismatches

src/encord_active/cli/main.py

@@ -17,6 +17,9 @@
 from encord_active.cli.utils.decorators import bypass_streamlit_question, ensure_project
 from encord_active.cli.utils.prints import success_with_visualise_command
 from encord_active.lib import constants as ea_constants
+from encord_active.lib.metrics.execute import run_metrics, run_metrics_by_embedding_type
+from encord_active.lib.metrics.heuristic.img_features import AreaMetric
+from encord_active.lib.metrics.metric import EmbeddingType
 
 
 class OrderedPanelGroup(TyperGroup):
@@ -147,6 +150,10 @@ def import_local_project(
         False,
         help="Print the files that will be imported WITHOUT importing them.",
     ),
+    metrics: bool = typer.Option(
+        True,
+        help="Run the metrics on the initiated project.",
+    ),
 ):
     """
     [green bold]Initialize[/green bold] a project from your local file system :seedling:
@@ -208,6 +215,14 @@ def import_local_project(
         project_path = init_local_project(
             files=glob_result.matched, target=target, project_name=project_name, symlinks=symlinks
         )
+
+        metricize_options = {"data_dir": project_path, "use_cache_only": True}
+        if metrics:
+            run_metrics_by_embedding_type(EmbeddingType.IMAGE, **metricize_options)
+        else:
+            # NOTE: we need to compute at  least one metric otherwise everything breaks
+            run_metrics(filter_func=lambda x: x.TITLE == AreaMetric.TITLE, **metricize_options)
+
         success_with_visualise_command(project_path, "Project initialised :+1:")
 
     except ProjectExistsError as e:

src/encord_active/lib/dataset/outliers.py

@@ -10,8 +10,8 @@
 
 
 class MetricWithDistanceSchema(MetricSchema):
-    dist_to_iqr: Optional[Series[float]] = pa.Field()
-    outliers_status: Optional[Series[str]] = pa.Field()
+    dist_to_iqr: Optional[Series[float]] = pa.Field(coerce=True)
+    outliers_status: Optional[Series[str]] = pa.Field(coerce=True)
 
 
 class IqrOutliers(NamedTuple):

src/encord_active/lib/project/local.py

@@ -13,8 +13,6 @@
     LocalUserClient,
     get_mimetype,
 )
-from encord_active.lib.metrics.execute import run_metrics_by_embedding_type
-from encord_active.lib.metrics.metric import EmbeddingType
 
 IMAGE_DATA_UNIT_FILENAME = "image_data_unit.json"
 
@@ -137,5 +135,4 @@ def init_local_project(
 
     (project_dir / IMAGE_DATA_UNIT_FILENAME).write_text(json.dumps(image_to_du))
 
-    run_metrics_by_embedding_type(EmbeddingType.IMAGE, data_dir=client.project_path, use_cache_only=True)
     return project_path