Use year filter first to avoid errors in old data

src/framework/processing/py/port/script.py

@@ -30,11 +30,6 @@ def parse_json_to_dataframe(parsed_dict):
             continue
 
         segment = obj["activitySegment"]
-        activity_type = segment["activityType"]
-
-        if activity_type not in {"WALKING", "CYCLING", "RUNNING"}:
-            continue
-
         start_timestamp_str = segment["duration"]["startTimestamp"]
         start_timestamp = datetime.fromisoformat(
             start_timestamp_str[:-1]
@@ -43,6 +38,11 @@ def parse_json_to_dataframe(parsed_dict):
         if start_timestamp < filter_start_date:
             continue
 
+        activity_type = segment["activityType"]
+
+        if activity_type not in {"WALKING", "CYCLING", "RUNNING"}:
+            continue
+
         if meters := get_in(segment, "waypointPath", "distanceMeters"):
             distance_meters = meters
         elif meters := get_in(segment, "simplifiedRawPath", "distanceMeters"):
@@ -74,6 +74,8 @@ def aggregate_distance_by_day_activity(df):
 
 
 def extract(df):
+    if df.empty:
+        return []
     aggregated_df = aggregate_distance_by_day_activity(df)
     aggregated_df["Afstand in m"] = aggregated_df["distanceMeters"].apply(np.ceil)