Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,41 +4,137 @@ import streamlit as st
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import pydeck as pdk
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from datetime import datetime, timedelta
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#
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else:
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# Only if site_df is available
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if not site_df.empty:
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site_df = site_df.copy() # To avoid SettingWithCopyWarning
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site_df['Color'] = site_df['Alert Level'].apply(alert_level_to_color)
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st.pydeck_chart(pdk.Deck(
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initial_view_state=pdk.ViewState(
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latitude=SITES[selected_site][0],
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longitude=SITES[selected_site][1],
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zoom=12,
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pitch=50
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),
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layers=[
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pdk.Layer(
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'ScatterplotLayer',
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data=site_df,
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get_position='[Longitude, Latitude]',
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get_color='Color',
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get_radius=100,
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)
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]
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))
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st.markdown("<h3 style='text-align: center;'>Poles Color-coded by Alert Level</h3>", unsafe_allow_html=True)
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else:
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st.
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import pydeck as pdk
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from datetime import datetime, timedelta
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# ---- Constants ----
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POLES_PER_SITE = 12
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SITES = {
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"Hyderabad": [17.385044, 78.486671],
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"Gadwal": [16.2351, 77.8052],
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"Kurnool": [15.8281, 78.0373],
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"Ballari": [12.9716, 77.5946]
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}
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# ---- Helper Functions ----
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def generate_location(base_lat, base_lon):
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return [
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base_lat + random.uniform(-0.02, 0.02),
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base_lon + random.uniform(-0.02, 0.02)
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]
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def simulate_pole(pole_id, site_name):
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lat, lon = generate_location(*SITES[site_name])
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solar_kwh = round(random.uniform(3.0, 7.5), 2)
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wind_kwh = round(random.uniform(0.5, 2.0), 2)
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power_required = round(random.uniform(4.0, 8.0), 2)
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total_power = solar_kwh + wind_kwh
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power_status = 'Sufficient' if total_power >= power_required else 'Insufficient'
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tilt_angle = round(random.uniform(0, 45), 2)
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vibration = round(random.uniform(0, 5), 2)
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camera_status = random.choice(['Online', 'Offline'])
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alert_level = 'Green'
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anomaly_details = []
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if tilt_angle > 30 or vibration > 3:
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alert_level = 'Yellow'
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anomaly_details.append("Tilt or Vibration threshold exceeded.")
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if tilt_angle > 40 or vibration > 4.5:
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alert_level = 'Red'
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anomaly_details.append("Critical tilt or vibration detected.")
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health_score = max(0, 100 - (tilt_angle + vibration * 10))
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timestamp = datetime.now() - timedelta(hours=random.randint(0, 6))
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return {
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'Pole ID': f'{site_name[:3].upper()}-{pole_id:03}',
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'Site': site_name,
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'Latitude': lat,
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'Longitude': lon,
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'Solar (kWh)': solar_kwh,
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'Wind (kWh)': wind_kwh,
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'Power Required (kWh)': power_required,
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'Total Power (kWh)': total_power,
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'Power Status': power_status,
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'Tilt Angle (Β°)': tilt_angle,
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'Vibration (g)': vibration,
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'Camera Status': camera_status,
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'Health Score': round(health_score, 2),
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'Alert Level': alert_level,
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'Anomalies': "; ".join(anomaly_details),
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'Last Checked': timestamp.strftime('%Y-%m-%d %H:%M:%S')
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}
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# ---- Streamlit UI ----
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st.set_page_config(page_title="Smart Pole Monitoring", layout="wide")
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st.title("π Smart Renewable Pole Monitoring - Multi-Site")
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selected_site = st.text_input("Enter site to view (Hyderabad, Gadwal, Kurnool, Ballari):", "Hyderabad")
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if selected_site in SITES:
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with st.spinner(f"Simulating poles at {selected_site}..."):
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poles_data = [simulate_pole(i + 1, site) for site in SITES for i in range(POLES_PER_SITE)]
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df = pd.DataFrame(poles_data)
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site_df = df[df['Site'] == selected_site]
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# Summary Metrics
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col1, col2, col3 = st.columns(3)
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col1.metric("Total Poles", site_df.shape[0])
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col2.metric("Red Alerts", site_df[site_df['Alert Level'] == 'Red'].shape[0])
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col3.metric("Power Insufficiencies", site_df[site_df['Power Status'] == 'Insufficient'].shape[0])
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# Table View
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st.subheader(f"π Pole Data Table for {selected_site}")
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with st.expander("Filter Options"):
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alert_filter = st.multiselect("Alert Level", options=site_df['Alert Level'].unique(), default=site_df['Alert Level'].unique())
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camera_filter = st.multiselect("Camera Status", options=site_df['Camera Status'].unique(), default=site_df['Camera Status'].unique())
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filtered_df = site_df[(site_df['Alert Level'].isin(alert_filter)) & (site_df['Camera Status'].isin(camera_filter))]
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st.dataframe(filtered_df, use_container_width=True)
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# Charts
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st.subheader("π Energy Generation Comparison")
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st.bar_chart(site_df[['Solar (kWh)', 'Wind (kWh)']].mean())
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st.subheader("π Tilt vs. Vibration")
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st.scatter_chart(site_df[['Tilt Angle (Β°)', 'Vibration (g)']])
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# ---- Updated Map Section with Alert Level Color Coding ----
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st.subheader("π Pole Alert Levels (Green, Yellow, Red)")
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# Define color mapping
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def alert_level_to_color(alert_level):
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if alert_level == 'Red':
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return [255, 0, 0, 160] # Red
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elif alert_level == 'Yellow':
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return [255, 255, 0, 160] # Yellow
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else:
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return [0, 255, 0, 160] # Green
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if not site_df.empty:
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site_df = site_df.copy()
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site_df['Color'] = site_df['Alert Level'].apply(alert_level_to_color)
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st.pydeck_chart(pdk.Deck(
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initial_view_state=pdk.ViewState(
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latitude=SITES[selected_site][0],
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longitude=SITES[selected_site][1],
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zoom=12,
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pitch=50
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),
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layers=[
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pdk.Layer(
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'ScatterplotLayer',
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data=site_df,
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get_position='[Longitude, Latitude]',
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get_color='Color',
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get_radius=100,
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)
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]
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))
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st.markdown("<h3 style='text-align: center;'>Poles Color-coded by Alert Level</h3>", unsafe_allow_html=True)
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else:
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st.info("No poles data available for this site.")
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else:
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st.warning("Invalid site. Please enter one of: Hyderabad, Gadwal, Kurnool, Ballari")
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