Update app.py

app.py

@@ -13,27 +13,24 @@ VALID_USERS = {
 
 # ------------------ GOOGLE SHEET SETUP ------------------
 scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
-creds = ServiceAccountCredentials.from_json_keyfile_name("tough-star.json", scope)
+creds = ServiceAccountCredentials.from_json_keyfile_name("bid4carsappsheetdash.json", scope)
 client = gspread.authorize(creds)
-sheet_url = "https://docs.google.com/spreadsheets/d/1bpeFS6yihb6niCavpwjWmVEypaSkGxONGg2jZfKX_sA"
+sheet_url = "https://docs.google.com/spreadsheets/d/1eUXhcfWd3jtNmZC6U_Dr2F7obQcK81I4YrK-fKEbkyU"
 
 # ------------------ DATA REFRESH FUNCTION ------------------
 def refresh_data():
-    sheet = client.open_by_url(sheet_url).worksheet("Calls")
+    sheet = client.open_by_url(sheet_url).worksheet("Calls2")
     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
+    df['Timestamp'] = pd.to_datetime(df['Date'].astype(str) + " " + df['Time'].astype(str), errors='coerce')
+    df['Date'] = pd.to_datetime(df['Date'], errors='coerce').dt.date.astype(str)
+    df['Time'] = pd.to_datetime(df['Time'], errors='coerce').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')
+    gps_split = df['GPS'].astype(str).str.split(',', expand=True)
+    df['Latitude'] = pd.to_numeric(gps_split[0], errors='coerce')
+    df['Longitude'] = pd.to_numeric(gps_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'])
@@ -42,7 +39,7 @@ def refresh_data():
 
     return df
 
-# ------------------ DASHBOARD FUNCTIONS ------------------
+# ------------------ SUMMARY GENERATION ------------------
 def generate_summary(date_str):
     df = refresh_data()
     all_reps = sorted(df['Rep Name'].dropna().unique())
@@ -58,6 +55,7 @@ def get_reps(date_str):
     reps = df[df['Date'] == date_str]['Rep Name'].dropna().unique()
     return gr.update(choices=sorted(reps))
 
+# ------------------ MAP & TABLE VIEW ------------------
 def show_map(date_str, rep):
     df = refresh_data()
     subset = df[(df['Date'] == date_str) & (df['Rep Name'] == rep)]
@@ -72,7 +70,7 @@ def show_map(date_str, rep):
     fig = px.line_mapbox(
         subset,
         lat="Latitude", lon="Longitude",
-        hover_name="Dealership Name",
+        hover_name="Dealership",
         hover_data={"Time": True, "Time Diff (min)": True, "Visit Order": True},
         height=700,
         zoom=13,
@@ -83,7 +81,7 @@ def show_map(date_str, rep):
         subset,
         lat="Latitude", lon="Longitude",
         color="Visit Order",
-        hover_name="Dealership Name",
+        hover_name="Dealership",
         hover_data=["Time", "Time Diff (min)"],
         color_continuous_scale="Bluered"
     )
@@ -102,14 +100,14 @@ def show_map(date_str, rep):
     fig.update_layout(mapbox_style="open-street-map", title=f"📍 {rep}'s Route on {date_str}")
 
     table = subset[[ 
-        'Visit Order', 'Dealership Name', 'Time', 'Time Diff (min)', 
-        'Type of call', 'Sales or service'
+        'Visit Order', 'Dealership', 'Time', 'Time Diff (min)', 
+        'Interaction Type', 'Product'
     ]].rename(columns={
-        'Dealership Name': '🧭 Dealer',
+        'Dealership': '🧭 Dealer',
         'Time': '🕒 Time',
         'Time Diff (min)': '⏱️ Time Spent',
-        'Type of call': '📞 Call Type',
-        'Sales or service': '💼 Category'
+        'Interaction Type': '📞 Interaction',
+        'Product': '💼 Product Type'
     })
 
     total_time = round(table['⏱️ Time Spent'].sum(), 2)
@@ -118,13 +116,13 @@ def show_map(date_str, rep):
         '🧭 Dealer': f"🧮 Total Time: {total_time} min",
         '🕒 Time': '',
         '⏱️ Time Spent': '',
-        '📞 Call Type': '',
-        '💼 Category': ''
+        '📞 Interaction': '',
+        '💼 Product Type': ''
     }])
     table = pd.concat([table, summary_row], ignore_index=True)
     return table, fig
 
-# ------------------ GRADIO APP ------------------
+# ------------------ GRADIO UI ------------------
 with gr.Blocks() as app:
     with gr.Row():
         with gr.Column(visible=True) as login_ui:
@@ -135,7 +133,7 @@ with gr.Blocks() as app:
             login_msg = gr.Markdown("")
 
         with gr.Column(visible=False) as main_ui:
-            gr.Markdown("## 🗂️ Carfind Rep Tracker")
+            gr.Markdown("## 🗂️ Carfind Rep Tracker (Calls2 Sheet)")
             df_initial = refresh_data()
             unique_dates = sorted(df_initial['Date'].unique(), reverse=True)