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Create modules/visuals.py
Browse files- modules/visuals.py +44 -0
modules/visuals.py
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import streamlit as st
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import pydeck as pdk
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def display_dashboard(df):
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st.subheader("📊 System Summary")
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col1, col2, col3 = st.columns(3)
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col1.metric("Total Poles", df.shape[0])
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col2.metric("🚨 Red Alerts", df[df['Alert Level'] == "Red"].shape[0])
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col3.metric("⚡ Power Issues", df[df['Power Sufficient'] == "No"].shape[0])
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def display_charts(df):
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st.subheader("⚙️ Energy Generation Trends")
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st.bar_chart(df.set_index("Pole ID")[["Solar Gen (kWh)", "Wind Gen (kWh)"]])
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st.subheader("📉 Tilt vs Vibration")
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scatter_data = df.rename(columns={"Tilt (°)": "Tilt", "Vibration (g)": "Vibration"})
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st.scatter_chart(scatter_data.set_index("Pole ID")[["Tilt", "Vibration"]])
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def display_heatmap(df):
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st.subheader("🗺️ Site Heatmap - Alert Distribution")
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view = pdk.ViewState(
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latitude=16.5,
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longitude=77.5,
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zoom=6,
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pitch=40,
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)
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layer = pdk.Layer(
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"HeatmapLayer",
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data=df,
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get_position='[Longitude, Latitude]',
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get_weight='1',
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radiusPixels=60,
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)
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map = pdk.Deck(
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map_style="mapbox://styles/mapbox/light-v9",
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initial_view_state=view,
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layers=[layer],
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tooltip={"text": "Site: {Site}\nAlert: {Alert Level}"}
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)
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st.pydeck_chart(map)
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