Update app.py

app.py

@@ -157,6 +157,57 @@ with gr.Blocks() as app:
                 date_picker.change(fn=get_reps, inputs=date_picker, outputs=rep_picker)
                 btn.click(fn=show_map, inputs=[date_picker, rep_picker], outputs=[table, map_plot])
 
+            with gr.Tab("📄 Reports"):
+                with gr.Row():
+                    report_type = gr.Radio(choices=["Daily", "Weekly", "Monthly"], label="Report Type", value="Daily")
+                    report_date = gr.Date(label="Select Date")
+                    download_btn = gr.Button("📥 Download CSV")
+
+                report_table = gr.Dataframe(label="📋 Report Summary")
+                report_info = gr.Markdown()
+                download_file = gr.File(label="📁 Download Link")
+
+                def generate_report(report_type, report_date):
+                    df = refresh_data()
+                    date_obj = pd.to_datetime(report_date)
+
+                    if report_type == "Daily":
+                        mask = df['Date'] == str(date_obj.date())
+                    elif report_type == "Weekly":
+                        start = date_obj - pd.Timedelta(days=date_obj.weekday())
+                        end = start + pd.Timedelta(days=6)
+                        mask = (pd.to_datetime(df['Date']) >= start.date()) & (pd.to_datetime(df['Date']) <= end.date())
+                    elif report_type == "Monthly":
+                        mask = pd.to_datetime(df['Date']).dt.to_period("M") == date_obj.to_period("M")
+
+                    filtered = df[mask]
+
+                    if filtered.empty:
+                        return pd.DataFrame(), "⚠️ No data found for that range.", None
+
+                    summary = filtered[[ 
+                        'Date', 'Rep Name', 'Dealership', 'Time', 
+                        'Interaction Type', 'Product', 'Time Diff (min)'
+                    ]].sort_values(by=["Rep Name", "Date"])
+
+                    insights = f"""
+### 📊 Insights:
+- **Total Visits:** {len(filtered)}
+- **Unique Reps:** {filtered['Rep Name'].nunique()}
+- **Most Active Rep:** {filtered['Rep Name'].value_counts().idxmax()}
+- **Most Visited Dealership:** {filtered['Dealership'].value_counts().idxmax()}
+- **Avg Time Between Visits:** {round(filtered['Time Diff (min)'].mean(), 2)} min
+                    """
+
+                    filename = f"Bid4Cars_Report_{report_type}_{report_date}.csv".replace(" ", "_")
+                    summary.to_csv(filename, index=False)
+
+                    return summary, insights, filename
+
+                report_date.change(fn=generate_report, inputs=[report_type, report_date], outputs=[report_table, report_info, download_file])
+                report_type.change(fn=generate_report, inputs=[report_type, report_date], outputs=[report_table, report_info, download_file])
+                download_btn.click(fn=generate_report, inputs=[report_type, report_date], outputs=[report_table, report_info, download_file])
+
     def do_login(user, pw):
         if VALID_USERS.get(user) == pw:
             return gr.update(visible=False), gr.update(visible=True), ""