fix temporal charts: use autorange instead of hardcoded ranges for sparse data

src/streamlit_app.py

@@ -603,17 +603,11 @@ def create_temporal_visualizations(df: pd.DataFrame) -> Dict[str, go.Figure]:
     fig_timeline.update_layout(
         height=600,
         showlegend=True,
-        title=f'Activity Timeline ({date_min.strftime("%Y-%m-%d")} to {date_max.strftime("%Y-%m-%d")})'
-    )
-    fig_timeline.update_xaxes(
-        title_text="Date",
-        row=2, col=1,
-        range=[date_min_padded, date_max_padded]
-    )
-    fig_timeline.update_xaxes(
-        range=[date_min_padded, date_max_padded],
-        row=1, col=1
+        title=f'Activity Timeline ({date_min.strftime("%Y-%m-%d")} to {date_max.strftime("%Y-%m-%d")})',
+        xaxis=dict(type='date', autorange=True),
+        xaxis2=dict(type='date', autorange=True)
     )
+    fig_timeline.update_xaxes(title_text="Date", row=2, col=1)
     fig_timeline.update_yaxes(title_text="Count", row=1, col=1)
     fig_timeline.update_yaxes(title_text="Value", row=2, col=1)
     
@@ -650,7 +644,7 @@ def create_temporal_visualizations(df: pd.DataFrame) -> Dict[str, go.Figure]:
         fig_monthly.update_layout(
             title=f'Monthly Posting Trends ({date_min.strftime("%Y-%m")} to {date_max.strftime("%Y-%m")})',
             xaxis_title='Month',
-            xaxis=dict(range=[date_min_padded, date_max_padded]),
+            xaxis=dict(type='date', autorange=True),
             yaxis=dict(title='Post Count', side='left'),
             yaxis2=dict(title='Average Score', side='right', overlaying='y'),
             height=400,
@@ -689,7 +683,7 @@ def create_temporal_visualizations(df: pd.DataFrame) -> Dict[str, go.Figure]:
         fig_weekly.update_layout(
             title=f'Weekly Posting Trends ({date_min.strftime("%Y-%m-%d")} to {date_max.strftime("%Y-%m-%d")})',
             xaxis_title='Week',
-            xaxis=dict(range=[date_min_padded, date_max_padded]),
+            xaxis=dict(type='date', autorange=True),
             yaxis=dict(title='Post Count', side='left'),
             yaxis2=dict(title='Average Score', side='right', overlaying='y'),
             height=400,
@@ -710,7 +704,7 @@ def create_temporal_visualizations(df: pd.DataFrame) -> Dict[str, go.Figure]:
                            labels={'count': 'Number of Posts', 'created_utc': 'Week'})
         fig_flair.update_layout(
             height=400,
-            xaxis=dict(range=[date_min_padded, date_max_padded])
+            xaxis=dict(type='date', autorange=True)
         )
         figures['flair'] = fig_flair