Update app/routes.py

app/routes.py

@@ -150,6 +150,26 @@ def get_statistics():
         for city in city_names
     ]
 
+
+    if (filtered):
+        data_lower = filtered_data
+
+    #mengambil untuk option dropdown
+    # Crime types + count (sudah OK)
+    all_crimes = data_lower['kata_kunci'].value_counts()
+    crime_types = [
+        {'value': crime, 'label': crime.title(), 'count': int(count)}
+        for crime, count in all_crimes.items()
+    ]
+
+    # Years + count
+    all_years = data_lower['tahun_putusan'].dropna().astype(int).value_counts().sort_index(ascending=False)
+    year_options = [
+        {'value': str(year), 'label': str(year), 'count': int(count)}
+        for year, count in all_years.items()
+    ]
+
+
     # Pastikan kolom tanggal ada
     if 'tanggal' in data_lower.columns:
         try:
@@ -194,39 +214,6 @@ def get_statistics():
 
     forecast_result = forecast(forecast_data)
 
-    if (filtered):
-        data_lower = filtered_data
-
-    #mengambil untuk option dropdown
-    # Crime types + count (sudah OK)
-    all_crimes = data_lower['kata_kunci'].value_counts()
-    crime_types = [
-        {'value': crime, 'label': crime.title(), 'count': int(count)}
-        for crime, count in all_crimes.items()
-    ]
-
-    # Years + count
-    all_years = data_lower['tahun_putusan'].dropna().astype(int).value_counts().sort_index(ascending=False)
-    year_options = [
-        {'value': str(year), 'label': str(year), 'count': int(count)}
-        for year, count in all_years.items()
-    ]
-
-    # ============================================
-    # MONTHLY SEASONALITY DATA (1–12)
-    # ============================================
-    # Pastikan kolom tanggal ada
-    if 'tanggal' in data_lower.columns:
-        try:
-            data_lower['tanggal'] = pd.to_datetime(
-                data_lower['tanggal'], errors='coerce'
-            )
-        except:
-            pass
-
-    # Extract month
-    data_lower['bulan_putusan'] = data_lower['tanggal'].dt.month
-
     # Monthly count (filtered data)
     monthly_counts_raw = (
         data_lower['bulan_putusan']