Create app.py

app.py

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+import random
+import pandas as pd
+import streamlit as st
+import pydeck as pdk
+from datetime import datetime, timedelta
+
+# ---- Constants ----
+TOTAL_POLES = 200  # 50 poles per site
+SITES = {
+    "Hyderabad": [17.385044, 78.486671],
+    "Gadwal": [16.2351, 77.8052],
+    "Kurnool": [15.8281, 78.0373],
+    "Bangalore": [12.9716, 77.5946]
+}
+
+# ---- Helper Functions ----
+def generate_location(base_lat, base_lon):
+    return [
+        base_lat + random.uniform(-0.02, 0.02),
+        base_lon + random.uniform(-0.02, 0.02)
+    ]
+
+def simulate_pole(pole_id, site_name):
+    lat, lon = generate_location(*SITES[site_name])
+    solar_kwh = round(random.uniform(3.0, 7.5), 2)
+    wind_kwh = round(random.uniform(0.5, 2.0), 2)
+    power_required = round(random.uniform(4.0, 8.0), 2)
+    total_power = solar_kwh + wind_kwh
+    power_status = 'Sufficient' if total_power >= power_required else 'Insufficient'
+
+    tilt_angle = round(random.uniform(0, 45), 2)
+    vibration = round(random.uniform(0, 5), 2)
+    camera_status = random.choice(['Online', 'Offline'])
+
+    alert_level = 'Green'
+    if tilt_angle > 30 or vibration > 3:
+        alert_level = 'Yellow'
+    if tilt_angle > 40 or vibration > 4.5:
+        alert_level = 'Red'
+
+    health_score = max(0, 100 - (tilt_angle + vibration * 10))
+    timestamp = datetime.now() - timedelta(hours=random.randint(0, 6))
+
+    return {
+        'Pole ID': f'{site_name[:3].upper()}-{pole_id:03}',
+        'Site': site_name,
+        'Latitude': lat,
+        'Longitude': lon,
+        'Solar (kWh)': solar_kwh,
+        'Wind (kWh)': wind_kwh,
+        'Power Required (kWh)': power_required,
+        'Total Power (kWh)': total_power,
+        'Power Status': power_status,
+        'Tilt Angle (°)': tilt_angle,
+        'Vibration (g)': vibration,
+        'Camera Status': camera_status,
+        'Health Score': round(health_score, 2),
+        'Alert Level': alert_level,
+        'Last Checked': timestamp.strftime('%Y-%m-%d %H:%M:%S')
+    }
+
+# ---- Streamlit UI ----
+st.set_page_config(page_title="Smart Pole Monitoring", layout="wide")
+st.title("🌍 Smart Renewable Pole Monitoring - Multi-Site")
+
+selected_site = st.text_input("Enter site to view (Hyderabad, Gadwal, Kurnool, Bangalore):", "Hyderabad")
+
+if selected_site in SITES:
+    with st.spinner(f"Simulating poles at {selected_site}..."):
+        poles_data = [simulate_pole(i + 1 + j * 50, site) for j, site in enumerate(SITES) for i in range(50)]
+        df = pd.DataFrame(poles_data)
+        site_df = df[df['Site'] == selected_site]
+
+    # Summary Metrics
+    col1, col2, col3 = st.columns(3)
+    col1.metric("Total Poles", site_df.shape[0])
+    col2.metric("Red Alerts", site_df[site_df['Alert Level'] == 'Red'].shape[0])
+    col3.metric("Power Insufficiencies", site_df[site_df['Power Status'] == 'Insufficient'].shape[0])
+
+    # Table View
+    st.subheader(f"📋 Pole Data Table for {selected_site}")
+    with st.expander("Filter Options"):
+        alert_filter = st.multiselect("Alert Level", options=site_df['Alert Level'].unique(), default=site_df['Alert Level'].unique())
+        camera_filter = st.multiselect("Camera Status", options=site_df['Camera Status'].unique(), default=site_df['Camera Status'].unique())
+
+    filtered_df = site_df[(site_df['Alert Level'].isin(alert_filter)) & (site_df['Camera Status'].isin(camera_filter))]
+    st.dataframe(filtered_df, use_container_width=True)
+
+    # Charts
+    st.subheader("📊 Energy Generation Comparison")
+    st.bar_chart(site_df[['Solar (kWh)', 'Wind (kWh)']].mean())
+
+    st.subheader("📈 Tilt vs. Vibration")
+    st.scatter_chart(site_df[['Tilt Angle (°)', 'Vibration (g)']])
+
+    # Map with Red Alerts
+    st.subheader("📍 Red Alert Pole Locations")
+    red_df = site_df[site_df['Alert Level'] == 'Red']
+    if not red_df.empty:
+        st.pydeck_chart(pdk.Deck(
+            initial_view_state=pdk.ViewState(
+                latitude=SITES[selected_site][0],
+                longitude=SITES[selected_site][1],
+                zoom=12,
+                pitch=50
+            ),
+            layers=[
+                pdk.Layer(
+                    'ScatterplotLayer',
+                    data=red_df,
+                    get_position='[Longitude, Latitude]',
+                    get_color='[255, 0, 0, 160]',
+                    get_radius=100,
+                )
+            ]
+        ))
+    else:
+        st.info("No red alerts at this time.")
+
+else:
+    st.warning("Invalid site. Please enter one of: Hyderabad, Gadwal, Kurnool, Bangalore")