Update app.py

app.py

@@ -11,6 +11,60 @@ st.title("📡 VIEP Smart Poles Dashboard")
 # Get data
 df = fetch_poles()
 
+
+
+#  Fetch the raw data from Salesforce
+df = fetch_poles()
+
+#  Sidebar Filters (your code should go here!)
+st.sidebar.header("📁 Filter Data")
+
+selected_alert_levels = st.sidebar.multiselect(
+    "Alert Level", ["Red", "Yellow", "Green"], default=["Red", "Yellow", "Green"]
+)
+
+selected_sites = st.sidebar.multiselect(
+    "Site", ["Hyderabad", "Gadwal", "Kurnool", "Ballari"],
+    default=["Hyderabad", "Gadwal", "Kurnool", "Ballari"]
+)
+
+selected_camera_status = st.sidebar.selectbox(
+    "Camera Status", ["All", "Online", "Offline"]
+)
+
+# Apply filters to create filtered_df
+filtered_df = df[
+    (df["Alert_Level__c"].isin(selected_alert_levels)) &
+    (df["Site__c"].isin(selected_sites))
+]
+
+if selected_camera_status != "All":
+    filtered_df = filtered_df[filtered_df["Camera_Status__c"] == selected_camera_status]
+
+# Now use filtered_df everywhere
+
+# Show system summary
+display_dashboard(filtered_df)
+
+# Show pole table
+st.subheader("📋 Pole Table")
+st.dataframe(filtered_df)
+
+# Show charts
+display_charts(filtered_df)
+
+# Tilt vs Vibration Scatter Plot
+st.subheader("📈 Tilt vs Vibration")
+fig_tv = px.scatter(
+    filtered_df,
+    x="Tilt_Angle__c",
+    y="Vibration_Level__c",
+    color="Alert_Level__c",
+    hover_name="Name",
+    title="Tilt Angle vs Vibration Level"
+)
+st.plotly_chart(fig_tv)
+
 # 1. System Summary (Show first)
 display_dashboard(df)