Update app.py

app.py

@@ -16,38 +16,50 @@ 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)
 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)
-
-# ------------------ DATA CLEANING ------------------
-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
-location_split = df['Location'].str.split(',', expand=True)
-df['Latitude'] = pd.to_numeric(location_split[0], errors='coerce')
-df['Longitude'] = pd.to_numeric(location_split[1], errors='coerce')
-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)
-df['Visit Order'] = df.groupby(['Rep Name', 'Date']).cumcount() + 1
-ALL_REPS = sorted(df['Rep Name'].dropna().unique())
+
+# ------------------ DATA REFRESH FUNCTION ------------------
+def refresh_data():
+    sheet = client.open_by_url(sheet_url).worksheet("Calls")
+    data = sheet.get_all_records()
+    df = pd.DataFrame(data)
+
+    # Timestamp parsing
+    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
+
+    # Location parsing
+    location_split = df['Location'].str.split(',', expand=True)
+    df['Latitude'] = pd.to_numeric(location_split[0], errors='coerce')
+    df['Longitude'] = pd.to_numeric(location_split[1], errors='coerce')
+
+    # Data cleaning
+    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)
+    df['Visit Order'] = df.groupby(['Rep Name', 'Date']).cumcount() + 1
+
+    return df
 
 # ------------------ DASHBOARD FUNCTIONS ------------------
 def generate_summary(date_str):
+    df = refresh_data()
+    all_reps = sorted(df['Rep Name'].dropna().unique())
     day_df = df[df['Date'] == date_str]
     active = day_df.groupby('Rep Name').size().reset_index(name='Total Visits')
     active_list = active['Rep Name'].tolist()
-    inactive_list = [rep for rep in ALL_REPS if rep not in active_list]
+    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
 
 def get_reps(date_str):
+    df = refresh_data()
     reps = df[df['Date'] == date_str]['Rep Name'].dropna().unique()
     return gr.update(choices=sorted(reps))
 
 def show_map(date_str, rep):
+    df = refresh_data()
     subset = df[(df['Date'] == date_str) & (df['Rep Name'] == rep)]
     if subset.empty:
         return "No valid data", None
@@ -124,8 +136,11 @@ with gr.Blocks() as app:
 
         with gr.Column(visible=False) as main_ui:
             gr.Markdown("## 🗂️ Carfind Rep Tracker")
+            df_initial = refresh_data()
+            unique_dates = sorted(df_initial['Date'].unique(), reverse=True)
+
             with gr.Tab("📊 Summary"):
-                date_summary = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
+                date_summary = gr.Dropdown(label="Select Date", choices=unique_dates)
                 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])
@@ -133,7 +148,7 @@ with gr.Blocks() as app:
             with gr.Tab("👤 KAM's"):
                 with gr.Row():
                     with gr.Column(scale=1):
-                        date_picker = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
+                        date_picker = gr.Dropdown(label="Select Date", choices=unique_dates)
                         rep_picker = gr.Dropdown(label="Select Rep")
                         btn = gr.Button("Show Route")
                     with gr.Column(scale=2):