Update app.py

app.py

@@ -15,20 +15,25 @@ VALID_USERS = {
 scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
 creds = ServiceAccountCredentials.from_json_keyfile_name("credentials.json", scope)
 client = gspread.authorize(creds)
-sheet_file = client.open("userAccess")  # Ensure this is the exact sheet name in Google Sheets
+sheet_file = client.open("userAccess")
 
 # ------------------ HELPERS ------------------
 def load_tab(sheet_name):
-    return pd.DataFrame(sheet_file.worksheet(sheet_name).get_all_records())
+    try:
+        df = pd.DataFrame(sheet_file.worksheet(sheet_name).get_all_records())
+        return df
+    except:
+        return pd.DataFrame([["⚠️ Could not load sheet."]], columns=["Error"])
 
 # ------------------ FIELD SALES ------------------
 def load_field_sales():
     df = load_tab("Field Sales")
+    if df.empty:
+        return pd.DataFrame(columns=["Date", "Rep", "Order Value", "Order Received", "Current/Prospect Custor", "Customer Type & Status", "DateStr"])
     df['Date'] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce')
     df = df.dropna(subset=["Date"])
     df['DateStr'] = df['Date'].dt.date.astype(str)
 
-    # ✅ Fix: ensure column exists before numeric conversion
     if "Order Value" not in df.columns:
         df["Order Value"] = 0
     else:
@@ -38,17 +43,19 @@ def load_field_sales():
 
 def generate_summary(date_str):
     df = load_field_sales()
+    if df.empty:
+        return pd.DataFrame([["No data"]], columns=["Message"]), pd.DataFrame(), pd.DataFrame()
+    
     all_reps = sorted(df['Rep'].dropna().unique())
     day_df = df[df['DateStr'] == date_str]
-
     total_visits = day_df.groupby("Rep").size().reset_index(name="Total Visits")
 
-    curr_col = "Current/Prospect Custor"
-    if curr_col not in df.columns:
-        df[curr_col] = ""
+    col = "Current/Prospect Custor"
+    if col not in df.columns:
+        df[col] = ""
 
-    current = day_df[day_df[curr_col] == "Current"]
-    prospect = day_df[day_df[curr_col] == "Prospect"]
+    current = day_df[day_df[col] == "Current"]
+    prospect = day_df[day_df[col] == "Prospect"]
     breakdown = pd.DataFrame({
         "Rep": all_reps,
         "Current": [len(current[current["Rep"] == rep]) for rep in all_reps],
@@ -62,8 +69,10 @@ def generate_summary(date_str):
 
 def get_order_summary(date_str):
     df = load_field_sales()
-    day_df = df[df['DateStr'] == date_str]
+    if df.empty:
+        return pd.DataFrame([["No data"]], columns=["Message"])
 
+    day_df = df[df['DateStr'] == date_str]
     if "Order Received" not in df.columns:
         df["Order Received"] = ""
 
@@ -78,38 +87,52 @@ def get_order_summary(date_str):
 
 def get_escalations():
     df = load_field_sales()
+    if df.empty:
+        return pd.DataFrame([["No data in Field Sales"]], columns=["Message"])
+
     col = "Customer Type & Status"
     if col in df.columns:
         flagged = df[df[col].str.contains("Second", na=False)]
-        return flagged if not flagged.empty else pd.DataFrame([["No second-hand dealerships flagged."]], columns=["Status"])
+        return flagged if not flagged.empty else pd.DataFrame([["No second-hand dealerships flagged."]], columns=["Message"])
     else:
-        return pd.DataFrame([["⚠️ Column 'Customer Type & Status' not found."]], columns=["Status"])
+        return pd.DataFrame([["⚠️ Column 'Customer Type & Status' not found."]], columns=["Message"])
 
 # ------------------ TELESALeS ------------------
 def get_telesales_summary():
     df = load_tab("TeleSales")
+    if df.empty or "Rep Email" not in df.columns:
+        return pd.DataFrame([["No data available"]], columns=["Message"])
+    
     df["Date"] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce')
     df["DateStr"] = df["Date"].dt.date.astype(str)
-    return df.groupby(["Rep Email", "DateStr"]).size().reset_index(name="Calls Made")
+
+    grouped = df.groupby(["Rep Email", "DateStr"]).size().reset_index(name="Calls Made")
+    return grouped.rename(columns={"Rep Email": "Rep"})
 
 # ------------------ OEM VISITS ------------------
 def get_oem_summary():
     df = load_tab("OEM Visit")
+    if df.empty or "Rep" not in df.columns:
+        return pd.DataFrame([["No data available"]], columns=["Message"])
+
     df["Date"] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce')
     df["DateStr"] = df["Date"].dt.date.astype(str)
     return df.groupby(["Rep", "DateStr"]).size().reset_index(name="OEM Visits")
 
 # ------------------ CUSTOMER REQUESTS ------------------
 def get_requests():
-    return load_tab("Customer Requests")
+    df = load_tab("Customer Requests")
+    return df if not df.empty else pd.DataFrame([["No requests yet."]], columns=["Message"])
 
 # ------------------ CUSTOMER LISTINGS ------------------
 def get_listings():
-    return load_tab("CustomerListings")
+    df = load_tab("CustomerListings")
+    return df if not df.empty else pd.DataFrame([["No listings found."]], columns=["Message"])
 
 # ------------------ USERS ------------------
 def get_users():
-    return load_tab("Users")
+    df = load_tab("Users")
+    return df if not df.empty else pd.DataFrame([["No users configured."]], columns=["Message"])
 
 # ------------------ GRADIO APP ------------------
 with gr.Blocks() as app:
@@ -125,7 +148,7 @@ with gr.Blocks() as app:
             gr.Markdown("## 🗂️ CarMat Dashboard")
 
             df_initial = load_field_sales()
-            unique_dates = sorted(df_initial["DateStr"].unique(), reverse=True)
+            unique_dates = sorted(df_initial["DateStr"].unique(), reverse=True) if not df_initial.empty else []
 
             # --- Summary Tab ---
             with gr.Tab("📊 Summary"):