previous not bad

app.py

@@ -73,7 +73,7 @@ def get_data():
         # Connect to MotherDuck using the token
         con = duckdb.connect(f'md:?token={MOTHERDUCK_TOKEN}')
         
-        # Updated query: Removed 'id' based on schema
+        # Query based on your schema
         query = """
             SELECT entity, entity_score, domain, title_score, overall_score, created_at
             FROM sentiment_analysis
@@ -87,8 +87,8 @@ def get_data():
         else:
              df["created_at"] = pd.to_datetime(df["created_at"])
              
-        # 2. FIX: Remove Timezone Information
-        # This prevents "Invalid comparison between dtype=datetime64[ns, Europe/Paris] and Timestamp"
+        # 2. FIX: Remove Timezone Information (Make it Naive)
+        # This solves the "Invalid comparison between Europe/Paris and Timestamp" error
         if pd.api.types.is_datetime64_any_dtype(df["created_at"]):
             if df["created_at"].dt.tz is not None:
                 df["created_at"] = df["created_at"].dt.tz_localize(None)
@@ -162,8 +162,6 @@ if selected_timeframe != "All":
         start_date = now - pd.Timedelta(days=365)
         end_date = now
     
-    # Ensure start_date and end_date are Pandas Timestamps for comparison
-    # (Since we stripped TZ from the DF, these naive timestamps will now work)
     if start_date and end_date:
         filtered_df = filtered_df[
             (filtered_df["created_at"] >= pd.Timestamp(start_date)) &
@@ -237,6 +235,8 @@ if not filtered_df.empty:
             labels={"date": "Date", "score": "Score", "label": "Legend"},
             title=T[LANG]["scores_over_time"]
         )
+        # FIX: Ensure markers are shown even for single/few data points
+        fig.update_traces(mode="lines+markers")
 
     else:
         group_cols = ["date", "entity"]
@@ -285,6 +285,8 @@ if not filtered_df.empty:
             labels={"date": "Date", score_type: "Score", "label": "Legend"},
             title=T[LANG]["avg_over_time"].format(score_type.replace("_", " ").title())
         )
+        # FIX: Ensure markers are shown even for single/few data points
+        fig.update_traces(mode="lines+markers")
 
     # Grid lines at every integer, thicker at -5 and 5
     shapes = []