Update app.py

app.py

@@ -9,13 +9,12 @@ scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/au
 creds = ServiceAccountCredentials.from_json_keyfile_name("tough-star.json", scope)
 client = gspread.authorize(creds)
 
-# === Load sheet data ===
+# === Load and clean sheet data ===
 sheet_url = "https://docs.google.com/spreadsheets/d/1bpeFS6yihb6niCavpwjWmVEypaSkGxONGg2jZfKX_sA"
 sheet = client.open_by_url(sheet_url).worksheet("Calls")
 data = sheet.get_all_records()
 df = pd.DataFrame(data)
 
-# === Parse and clean ===
 df['Timestamp'] = pd.to_datetime(df['Timestamp'], dayfirst=True, errors='coerce')
 df['Date'] = df['Timestamp'].dt.date.astype(str)
 df['Time'] = df['Timestamp'].dt.time
@@ -27,16 +26,26 @@ df = df.dropna(subset=['Date', 'Rep Name', 'Latitude', 'Longitude'])
 df = df[(df['Latitude'] != 0) & (df['Longitude'] != 0)]
 df = df.sort_values(by=['Rep Name', 'Timestamp'])
 df['Time Diff (min)'] = df.groupby(['Rep Name', 'Date'])['Timestamp'].diff().dt.total_seconds().div(60).fillna(0)
-
-# Add Visit Order
 df['Visit Order'] = df.groupby(['Rep Name', 'Date']).cumcount() + 1
 
-# Construct image thumbnail URLs from Google Drive folder
-drive_folder_url = "https://drive.google.com/uc?id="
-df['Image ID'] = df['Image'].str.extract(r'Calls_Images/([^.]+)')
-df['Image URL'] = df['Image ID'].apply(lambda x: f"{drive_folder_url}{x}" if pd.notna(x) else "")
+# === Helper: All unique reps in dataset ===
+all_reps = sorted(df['Rep Name'].dropna().unique())
+
+# === Tab 1: Summary ===
+def generate_summary(date_str):
+    day_df = df[df['Date'] == date_str]
+
+    # Active reps and their total stops
+    active = day_df.groupby('Rep Name').size().reset_index(name='Total Visits')
 
-# === Functions ===
+    # Detect inactive reps
+    active_list = active['Rep Name'].tolist()
+    inactive_list = [rep for rep in all_reps if rep not in active_list]
+    inactive_df = pd.DataFrame({'Inactive Reps': inactive_list})
+
+    return active, inactive_df
+
+# === Tab 2: KAMs ===
 def get_reps(date_str):
     reps = df[df['Date'] == date_str]['Rep Name'].dropna().unique()
     return sorted(reps)
@@ -48,8 +57,6 @@ def show_map(date_str, rep):
 
     subset = subset.sort_values(by='Timestamp').copy()
     subset['Visit Order'] = range(1, len(subset) + 1)
-
-    # Center and zoom
     center_lat = subset['Latitude'].mean()
     center_lon = subset['Longitude'].mean()
 
@@ -85,54 +92,52 @@ def show_map(date_str, rep):
 
     fig.update_layout(mapbox_style="open-street-map", title=f"📍 {rep}'s Route on {date_str}")
 
-    # === Build display table
+    # Final table (without photo)
     table = subset[[
-        'Visit Order', 'Dealership Name', 'Time', 'Time Diff (min)',
-        'Type of call', 'Sales or service', 'Image URL'
-    ]]
-    table = table.rename(columns={
+        'Visit Order', 'Dealership Name', 'Time', 'Time Diff (min)', 
+        'Type of call', 'Sales or service'
+    ]].rename(columns={
         'Dealership Name': '🧭 Dealer',
         'Time': '🕒 Time',
         'Time Diff (min)': '⏱️ Time Spent',
         'Type of call': '📞 Call Type',
-        'Sales or service': '💼 Category',
-        'Image URL': '📸 Photo'
+        'Sales or service': '💼 Category'
     })
 
-    # Add time summary
+    # Summary footer
     total_time = round(table['⏱️ Time Spent'].sum(), 2)
     summary_row = pd.DataFrame([{
-        '🧭 Dealer': f"🧮 Total Time: {total_time} min",
         'Visit Order': '',
+        '🧭 Dealer': f"🧮 Total Time: {total_time} min",
         '🕒 Time': '',
         '⏱️ Time Spent': '',
         '📞 Call Type': '',
-        '💼 Category': '',
-        '📸 Photo': ''
+        '💼 Category': ''
     }])
     table = pd.concat([table, summary_row], ignore_index=True)
 
     return table, fig
 
 # === Gradio UI ===
-def update(date_str):
-    return gr.Dropdown(choices=get_reps(date_str), label="Select Rep")
-
 with gr.Blocks() as app:
-    gr.Markdown("## 🗺️ Rep Route & Visit Visualizer")
+    gr.Markdown("## 🗂️ Carfind Rep Tracker")
 
-    date_picker = gr.Dropdown(
-        label="Select Date", 
-        choices=sorted(df['Date'].unique(), reverse=True)
-    )
-    rep_picker = gr.Dropdown(label="Select Rep")
+    with gr.Tab("📊 Summary"):
+        date_summary = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
+        active_table = gr.Dataframe(label="✅ Active Reps (with total visits)")
+        inactive_table = gr.Dataframe(label="⚠️ Inactive Reps")
+
+        date_summary.change(fn=generate_summary, inputs=date_summary, outputs=[active_table, inactive_table])
 
-    btn = gr.Button("Show Route")
+    with gr.Tab("👤 KAM's"):
+        date_picker = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
+        rep_picker = gr.Dropdown(label="Select Rep")
+        btn = gr.Button("Show Route")
 
-    table = gr.Dataframe(label="Call Table")
-    map_plot = gr.Plot(label="Map")
+        table = gr.Dataframe(label="Call Table")
+        map_plot = gr.Plot(label="Map")
 
-    date_picker.change(fn=update, inputs=date_picker, outputs=rep_picker)
-    btn.click(fn=show_map, inputs=[date_picker, rep_picker], outputs=[table, map_plot])
+        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])
 
 app.launch()