Update app.py

app.py

@@ -27,111 +27,181 @@ def load_tab(sheet_name):
         return pd.DataFrame([["⚠️ Could not load sheet."]], columns=["Error"])
 
 def haversine(coord1, coord2):
-    lon1, lat1 = map(radians, map(float, coord1.split(',')[::-1]))
-    lon2, lat2 = map(radians, map(float, coord2.split(',')[::-1]))
-    dlon = lon2 - lon1
-    dlat = lat2 - lat1
-    a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
-    c = 2 * asin(sqrt(a))
-    return 6371 * c  # in km
-
-# ------------------ LOAD SHEETS ------------------
+    try:
+        lon1, lat1 = map(radians, map(float, coord1.split(',')[::-1]))
+        lon2, lat2 = map(radians, map(float, coord2.split(',')[::-1]))
+        dlon = lon2 - lon1
+        dlat = lat2 - lat1
+        a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
+        c = 2 * asin(sqrt(a))
+        return round(6371 * c, 2)
+    except:
+        return 0.0
+
+# ------------------ FIELD SALES ------------------
 def load_field_sales():
     df = load_tab("Field Sales")
     if df.empty:
-        return pd.DataFrame(columns=["Date", "Rep", "Order Value", "Order Received", "Location", "KM Travelled"])
+        return pd.DataFrame(columns=["Date", "Rep", "Order Value", "Order Received", "Location", "DateStr", "KM Travelled"])
+
     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)
     df["Order Value"] = pd.to_numeric(df.get("Order Value", 0), errors="coerce").fillna(0)
+    
     df["KM Travelled"] = 0.0
     for rep in df["Rep"].unique():
         rep_df = df[df["Rep"] == rep].sort_values(by="Date")
         prev_coord = None
         for idx, row in rep_df.iterrows():
             curr_coord = row.get("Location", "")
-            if prev_coord and curr_coord:
-                try:
-                    km = haversine(prev_coord, curr_coord)
-                    df.at[idx, "KM Travelled"] = km
-                except:
-                    df.at[idx, "KM Travelled"] = 0
+            if prev_coord:
+                df.at[idx, "KM Travelled"] = haversine(prev_coord, curr_coord)
             prev_coord = curr_coord
-    df["KM Travelled"] = df["KM Travelled"].round(2)
+
     return df
 
-def load_telesales():
-    df = load_tab("Telesales")
+def get_field_summary():
+    df = load_field_sales()
+    if df.empty:
+        return pd.DataFrame([["No data available"]], columns=["Message"])
+    summary = df.groupby("Rep").agg({
+        "Order Value": "sum",
+        "Order Received": lambda x: (x == "Yes").sum(),
+        "KM Travelled": "sum"
+    }).reset_index().rename(columns={
+        "Order Value": "Total Order Value",
+        "Order Received": "Orders Received"
+    })
+    return summary
+
+# ------------------ TELESALES ------------------
+def get_telesales_summary():
+    df = load_tab("TeleSales")
+    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)
     df["Order Value"] = pd.to_numeric(df.get("Order Value", 0), errors="coerce").fillna(0)
-    return df
 
-def load_summary(field_df, telesales_df):
-    summary = []
-    reps = pd.concat([field_df["Rep"], telesales_df["Rep"]]).dropna().unique()
-    for rep in reps:
-        field_orders = field_df[(field_df["Rep"] == rep) & (field_df["Order Received"].str.lower() == "yes")]
-        telesales_orders = telesales_df[(telesales_df["Rep"] == rep) & (telesales_df["Order Received"].str.lower() == "yes")]
-        total_value = field_orders["Order Value"].sum() + telesales_orders["Order Value"].sum()
-        total_orders = len(field_orders) + len(telesales_orders)
-        total_km = field_df[field_df["Rep"] == rep]["KM Travelled"].sum()
-        summary.append([rep, total_value, total_orders, round(total_km, 2)])
-    return pd.DataFrame(summary, columns=["Rep", "Total Order Value", "Orders Received", "KM Travelled"])
-
-# ------------------ MAIN INTERFACE ------------------
-def login(email, password):
-    if VALID_USERS.get(email) == password:
-        field_df = load_field_sales()
-        telesales_df = load_telesales()
-        summary_df = load_summary(field_df, telesales_df)
-        orders_df = load_tab("Orders")
-        escalation_df = load_tab("Escalations")
-        oem_df = load_tab("OEM Visits")
-        cust_req_df = load_tab("Customer Requests")
-        dealer_df = load_tab("Dealership Directory")
-        users_df = load_tab("Users")
-
-        with gr.Tab("Summary"):
-            gr.Dataframe(summary_df, label="📊 Rep Summary")
-
-        with gr.Tab("Field Sales"):
-            gr.Dataframe(field_df[["Rep", "Order Value", "Order Received", "KM Travelled"]], label="Field Sales Summary")
-            gr.Dataframe(field_df, label="Raw Field Sales")
-
-        with gr.Tab("TeleSales"):
-            gr.Dataframe(telesales_df, label="TeleSales Data")
-
-        with gr.Tab("Orders"):
-            gr.Dataframe(orders_df, label="Orders")
-
-        with gr.Tab("Escalations"):
-            gr.Dataframe(escalation_df, label="Escalations")
-
-        with gr.Tab("OEM Visits"):
-            gr.Dataframe(oem_df, label="OEM Visits")
-
-        with gr.Tab("Customer Requests"):
-            gr.Dataframe(cust_req_df, label="Customer Requests")
-
-        with gr.Tab("Dealership Directory"):
-            gr.Dataframe(dealer_df, label="Dealership Directory")
-
-        with gr.Tab("Users"):
-            gr.Dataframe(users_df, label="Users")
-
-        return gr.update(visible=False), gr.update(visible=True)
+    summary = df.groupby("Rep").agg({
+        "Order Value": "sum",
+        "Order Received": lambda x: (x == "Yes").sum()
+    }).reset_index().rename(columns={
+        "Order Value": "Total Order Value",
+        "Order Received": "Orders Received"
+    })
+    return summary
+
+# ------------------ COMBINED ORDERS ------------------
+def get_combined_orders():
+    fs = get_field_summary()
+    ts = get_telesales_summary()
+
+    fs["Source"] = "Field Sales"
+    ts["Source"] = "TeleSales"
+
+    combined = pd.concat([fs, ts], ignore_index=True)
+    return combined[["Rep", "Orders Received", "Total Order Value", "Source"]].sort_values(by="Total Order Value", ascending=False)
+
+# ------------------ 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")
+
+# ------------------ OTHER TABS ------------------
+def get_requests():
+    df = load_tab("Customer Requests")
+    return df if not df.empty else pd.DataFrame([["No requests yet."]], columns=["Message"])
+
+def get_listings():
+    df = load_tab("CustomerListings")
+    return df if not df.empty else pd.DataFrame([["No listings found."]], columns=["Message"])
+
+def get_users():
+    df = load_tab("Users")
+    return df if not df.empty else pd.DataFrame([["No users configured."]], columns=["Message"])
+
+def get_escalations():
+    df = load_field_sales()
+    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=["Message"])
     else:
-        return "Invalid credentials", gr.update(visible=False)
-
-with gr.Blocks(theme=gr.themes.Monochrome(), css="footer {visibility: hidden}") as demo:
-    with gr.Column(visible=True) as login_col:
-        gr.Markdown("### 🔐 CarMat Dashboard Login")
-        email = gr.Textbox(label="Email")
-        password = gr.Textbox(label="Password", type="password")
-        login_btn = gr.Button("Login")
-        login_msg = gr.Text()
-
-    with gr.Column(visible=False) as dashboard_col:
-        gr.Markdown("## 📂 CarMat Dashboard")
-
-    login_btn.click(fn=login, inputs=[email, password], outputs=[login_msg, dashboard_col])
+        return pd.DataFrame([["⚠️ Column 'Customer Type & Status' not found."]], columns=["Message"])
+
+# ------------------ GRADIO APP ------------------
+with gr.Blocks() as app:
+    with gr.Row():
+        with gr.Column(visible=True) as login_ui:
+            gr.Markdown("## 🔐 Login Required")
+            email = gr.Textbox(label="Email")
+            password = gr.Textbox(label="Password", type="password")
+            login_btn = gr.Button("Login")
+            login_msg = gr.Markdown("")
+
+        with gr.Column(visible=False) as main_ui:
+            gr.Markdown("## 🗂️ CarMat Dashboard")
+
+            # --- Summary Tab ---
+            with gr.Tab("📊 Summary"):
+                summary_table = gr.Dataframe(label="Combined Orders", value=get_combined_orders)
+
+            # --- Field Sales Tab ---
+            with gr.Tab("🛣️ Field Sales"):
+                fs_table = gr.Dataframe(label="Field Sales Summary", value=get_field_summary)
+                fs_raw = gr.Dataframe(label="Raw Field Sales", value=load_field_sales)
+
+            # --- Telesales Tab ---
+            with gr.Tab("📞 TeleSales"):
+                ts_table = gr.Dataframe(label="TeleSales Summary", value=get_telesales_summary)
+
+            # --- Orders Tab ---
+            with gr.Tab("📦 Orders"):
+                order_table = gr.Dataframe(label="All Orders Combined", value=get_combined_orders)
+
+            # --- Escalations ---
+            with gr.Tab("🚨 Escalations"):
+                esc_table = gr.Dataframe(value=get_escalations, label="Second-hand Dealerships")
+                esc_btn = gr.Button("🔄 Refresh")
+                esc_btn.click(fn=get_escalations, outputs=esc_table)
+
+            # --- OEM Visits ---
+            with gr.Tab("🏭 OEM Visits"):
+                oem_table = gr.Dataframe(value=get_oem_summary, label="OEM Visit Summary")
+                oem_refresh = gr.Button("🔄 Refresh OEM")
+                oem_refresh.click(fn=get_oem_summary, outputs=oem_table)
+
+            # --- Requests ---
+            with gr.Tab("📬 Customer Requests"):
+                req_table = gr.Dataframe(value=get_requests, label="Customer Requests", interactive=False)
+                req_refresh = gr.Button("🔄 Refresh Requests")
+                req_refresh.click(fn=get_requests, outputs=req_table)
+
+            # --- Dealership Listings ---
+            with gr.Tab("📋 Dealership Directory"):
+                listings_table = gr.Dataframe(value=get_listings, label="Customer Listings")
+                listings_refresh = gr.Button("🔄 Refresh Listings")
+                listings_refresh.click(fn=get_listings, outputs=listings_table)
+
+            # --- Users ---
+            with gr.Tab("👤 Users"):
+                users_table = gr.Dataframe(value=get_users, label="Users")
+                users_refresh = gr.Button("🔄 Refresh Users")
+                users_refresh.click(fn=get_users, outputs=users_table)
+
+    def do_login(user, pw):
+        if VALID_USERS.get(user) == pw:
+            return gr.update(visible=False), gr.update(visible=True), ""
+        else:
+            return gr.update(visible=True), gr.update(visible=False), "❌ Invalid login."
+
+    login_btn.click(fn=do_login, inputs=[email, password], outputs=[login_ui, main_ui, login_msg])
+
+app.launch()
 
-demo.launch()