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import streamlit as st
import pydeck as pdk
def display_dashboard(df):
st.subheader("📊 System Summary")
col1, col2, col3 = st.columns(3)
col1.metric("Total Poles", df.shape[0])
col2.metric("🚨 Red Alerts", df[df['Alert Level'] == "Red"].shape[0])
col3.metric("⚡ Power Issues", df[df['Power Sufficient'] == "No"].shape[0])
def display_charts(df):
st.subheader("⚙️ Energy Generation Trends")
st.bar_chart(df.set_index("Pole ID")[["Solar Gen (kWh)", "Wind Gen (kWh)"]])
st.subheader("📉 Tilt vs Vibration")
scatter_data = df.rename(columns={"Tilt (°)": "Tilt", "Vibration (g)": "Vibration"})
st.scatter_chart(scatter_data.set_index("Pole ID")[["Tilt", "Vibration"]])
def display_heatmap(df):
st.subheader("🗺️ Site Heatmap - Alert Distribution")
view = pdk.ViewState(
latitude=16.5,
longitude=77.5,
zoom=6,
pitch=40,
)
layer = pdk.Layer(
"HeatmapLayer",
data=df,
get_position='[Longitude, Latitude]',
get_weight="Alert Weight", # ✅ fixed
radiusPixels=60,
)
map = pdk.Deck(
map_style="mapbox://styles/mapbox/light-v9",
initial_view_state=view,
layers=[layer],
tooltip={"text": "Site: {Site}\nAlert: {Alert Level}"}
)
st.pydeck_chart(map)
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