app.py

import streamlit as st
from modules.simulator import simulate_data
from modules.filters import apply_filters
from modules.visuals import display_dashboard, display_charts
from modules.salesforce_connector import connect_salesforce, fetch_pole_data_from_salesforce

st.set_page_config(page_title="Vedavathi Smart Pole Monitoring", layout="wide")
st.title("📡 Vedavathi Smart Pole Monitoring - PoC Simulator")

st.sidebar.header("🛠️ Simulation Controls")
data_mode = st.sidebar.radio("Data Mode", ["Simulated", "Salesforce"])
num_poles = st.sidebar.slider("Number of Poles", min_value=5, max_value=50, value=10)
simulate_faults = st.sidebar.checkbox("Simulate Random Faults", value=True)

if data_mode == "Simulated":
    df = simulate_data(num_poles, simulate_faults)
else:
    try:
        sf = connect_salesforce()
        df = fetch_pole_data_from_salesforce(sf)
        st.success("✅ Fetched data from Salesforce")
    except Exception as e:
        st.error(f"❌ Salesforce Error: {e}")
        st.stop()
df = simulate_data(num_poles, simulate_faults)

st.sidebar.header("📂 Filter Data")
alert_filter = st.sidebar.multiselect("Alert Level", ["Green", "Yellow", "Red"], default=["Green", "Yellow", "Red"])
cam_filter = st.sidebar.selectbox("Camera Status", ["All", "Online", "Offline"], index=0)

filtered_df = apply_filters(df, alert_filter, cam_filter)

display_dashboard(df)

st.subheader("📋 Pole Monitoring Table")
st.dataframe(filtered_df, use_container_width=True)

display_charts(df)