Update app.py

app.py

@@ -4,21 +4,11 @@ import streamlit as st
 import pydeck as pdk
 from datetime import datetime, timedelta
 import altair as alt
-import time
-
-# ---- SET PAGE CONFIG MUST BE FIRST ----
-st.set_page_config(page_title="Smart Pole Monitoring", layout="wide")
-
-# ---- Update query params every hour to trigger refresh
-st.query_params["updated"] = str(int(time.time() // 3600))
 
 # ---- Constants ----
 POLES_PER_SITE = 12
-POLE_GRID_ROWS = 3
-POLE_GRID_COLS = 4
 POLE_SPACING_FEET = 10
-FEET_TO_LAT_DEG = 0.00003
-FEET_TO_LON_DEG = 0.00003
+FEET_TO_LAT_DEG = 0.00003  # Rough conversion
 
 SITES = {
     "Hyderabad": {"coords": [17.385044, 78.486671], "zone": "Dairy Farm Zone"},
@@ -27,14 +17,32 @@ SITES = {
     "Ballari": {"coords": [12.9716, 77.5946], "zone": "Urban Grid"}
 }
 
+# ---- Fixed Placement for Each Site ----
 def generate_fixed_pole_locations(base_lat, base_lon, num_poles):
-    locations = []
-    for i in range(POLE_GRID_ROWS):
-        for j in range(POLE_GRID_COLS):
-            lat = base_lat + i * POLE_SPACING_FEET * FEET_TO_LAT_DEG
-            lon = base_lon + j * POLE_SPACING_FEET * FEET_TO_LON_DEG
-            locations.append([lat, lon])
-    return locations[:num_poles]
+    # Define a fixed area for pole placement (e.g., 0.01 degrees in latitude and longitude)
+    area_width = 0.01  # 0.01 degree latitude distance (approx. 1.1 km)
+    area_height = 0.01  # 0.01 degree longitude distance (approx. 1.1 km)
+    
+    # Calculate number of rows and columns for the grid
+    rows = 3  # Number of rows in the grid
+    cols = 4  # Number of columns in the grid
+    
+    # Calculate the spacing in both directions
+    lat_spacing = area_height / rows
+    lon_spacing = area_width / cols
+
+    # Generate the fixed grid of pole locations
+    return [
+        [base_lat + i * lat_spacing, base_lon + j * lon_spacing]
+        for i in range(rows) for j in range(cols)
+    ][:num_poles]  # Only take num_poles (12 in this case)
+
+# ---- 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):
     solar_kwh = round(random.uniform(3.0, 7.5), 2)
@@ -42,15 +50,19 @@ def simulate_pole(pole_id, site_name, lat, lon):
     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'
+
     vibration = round(random.uniform(0, 5), 2)
     camera_status = random.choice(['Online', 'Offline'])
+
     alert_level = 'Green'
     if vibration > 3:
         alert_level = 'Yellow'
     if vibration > 4.5:
         alert_level = 'Red'
+
     health_score = max(0, 100 - (vibration * 10))
-    timestamp = datetime.now() - timedelta(minutes=random.randint(0, 59))
+    timestamp = datetime.now() - timedelta(hours=random.randint(0, 6))
+
     return {
         'Pole ID': f'{site_name[:3].upper()}-{pole_id:03}',
         'Site': site_name,
@@ -69,124 +81,134 @@ def simulate_pole(pole_id, site_name, lat, lon):
         'Last Checked': timestamp.strftime('%Y-%m-%d %H:%M:%S')
     }
 
-@st.cache_data(ttl=3600)
-def get_simulated_data():
-    all_data = []
-    for site_name, site_data in SITES.items():
-        base_lat, base_lon = site_data["coords"]
-        locations = generate_fixed_pole_locations(base_lat, base_lon, POLES_PER_SITE)
-        for i, (lat, lon) in enumerate(locations):
-            pole_data = simulate_pole(i + 1, site_name, lat, lon)
-            all_data.append(pole_data)
-    return pd.DataFrame(all_data)
-
-# ---- UI Starts ----
+# ---- Streamlit UI ----
+st.set_page_config(page_title="Smart Pole Monitoring", layout="wide")
 st.title("🌍 Smart Renewable Pole Monitoring - Multi-Site")
 
 selected_site = st.selectbox("Select a site to view:", options=list(SITES.keys()), index=0)
 
-st.caption(f"🔄 Data last refreshed: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
-
-with st.spinner(f"Loading data for {selected_site}..."):
-    df = get_simulated_data()
-    site_df = df[df['Site'] == selected_site]
-
-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])
-
-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)
-
-st.subheader("🔋 Energy Generation per Pole")
-
-energy_long_df = site_df[['Pole ID', 'Solar (kWh)', 'Wind (kWh)']].melt(
-    id_vars='Pole ID',
-    value_vars=['Solar (kWh)', 'Wind (kWh)'],
-    var_name='Energy Source',
-    value_name='kWh'
-)
-
-bar_chart = alt.Chart(energy_long_df).mark_bar().encode(
-    x=alt.X('Pole ID:N', sort=None, title='Pole ID'),
-    y=alt.Y('kWh:Q'),
-    color='Energy Source:N',
-    tooltip=['Pole ID', 'Energy Source', 'kWh']
-).properties(
-    width=800,
-    height=400
-).configure_axisX(labelAngle=45)
-
-st.altair_chart(bar_chart, use_container_width=True)
-
-st.subheader("⚠️ Map Filter: Select Fault Type(s)")
-fault_options = ['High Vibration (>3g)', 'Camera Offline', 'Power Insufficient']
-selected_faults = st.multiselect("Show poles with these fault conditions:", options=fault_options, default=fault_options)
-
-def fault_condition(row):
-    return (
-        ('High Vibration (>3g)' in selected_faults and row['Vibration (g)'] > 3) or
-        ('Camera Offline' in selected_faults and row['Camera Status'] == 'Offline') or
-        ('Power Insufficient' in selected_faults and row['Power Status'] == 'Insufficient')
+if selected_site in SITES:
+    st.markdown(f"**Zone:** {SITES[selected_site]['zone']}")
+
+    with st.spinner(f"Simulating poles at {selected_site}..."):
+        all_data = []
+
+        for site_name, site_data in SITES.items():
+            base_lat, base_lon = site_data["coords"]
+
+            # Fixed placement for all poles
+            locations = generate_fixed_pole_locations(base_lat, base_lon, POLES_PER_SITE)
+
+            for i, (lat, lon) in enumerate(locations):
+                pole_data = simulate_pole(i + 1, site_name, lat, lon)
+                all_data.append(pole_data)
+
+        df = pd.DataFrame(all_data)
+        site_df = df[df['Site'] == selected_site]
+
+    # Summary
+    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
+    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)
+
+    # ---- Energy Chart ----
+    st.subheader("🔋 Energy Generation per Pole")
+
+    energy_long_df = site_df[['Pole ID', 'Solar (kWh)', 'Wind (kWh)']].melt(
+        id_vars='Pole ID',
+        value_vars=['Solar (kWh)', 'Wind (kWh)'],
+        var_name='Energy Source',
+        value_name='kWh'
     )
 
-fault_df = site_df[site_df.apply(fault_condition, axis=1)] if selected_faults else site_df
-
-def get_color(alert):
-    if alert == 'Green':
-        return [0, 255, 0, 160]
-    elif alert == 'Yellow':
-        return [255, 255, 0, 160]
-    elif alert == 'Red':
-        return [255, 0, 0, 160]
-    return [128, 128, 128, 160]
-
-fault_df['color'] = fault_df['Alert Level'].apply(get_color)
-
-st.subheader("📍 Pole Locations with Selected Faults")
-st.pydeck_chart(pdk.Deck(
-    initial_view_state=pdk.ViewState(
-        latitude=SITES[selected_site]["coords"][0],
-        longitude=SITES[selected_site]["coords"][1],
-        zoom=12,
-        pitch=50
-    ),
-    layers=[
-        pdk.Layer(
-            'ScatterplotLayer',
-            data=fault_df,
-            get_position='[Longitude, Latitude]',
-            get_color='color',
-            get_radius=100,
-            pickable=True,
+    bar_chart = alt.Chart(energy_long_df).mark_bar().encode(
+        x=alt.X('Pole ID:N', sort=None, title='Pole ID'),
+        y=alt.Y('kWh:Q'),
+        color='Energy Source:N',
+        tooltip=['Pole ID', 'Energy Source', 'kWh']
+    ).properties(
+        width=800,
+        height=400
+    ).configure_axisX(labelAngle=45)
+
+    st.altair_chart(bar_chart, use_container_width=True)
+
+    # ---- Fault Type Filter ----
+    st.subheader("⚠️ Map Filter: Select Fault Type(s)")
+
+    fault_options = ['High Vibration (>3g)', 'Camera Offline', 'Power Insufficient']
+    selected_faults = st.multiselect("Show poles with these fault conditions:", options=fault_options, default=fault_options)
+
+    def fault_condition(row):
+        return (
+            ('High Vibration (>3g)' in selected_faults and row['Vibration (g)'] > 3) or
+            ('Camera Offline' in selected_faults and row['Camera Status'] == 'Offline') or
+            ('Power Insufficient' in selected_faults and row['Power Status'] == 'Insufficient')
         )
-    ],
-    tooltip={
-        "html": """
-        <b>Pole ID:</b> {Pole ID}<br/>
-        <b>Zone:</b> {Zone}<br/>
-        <b>Alert Level:</b> {Alert Level}<br/>
-        <b>Health Score:</b> {Health Score}<br/>
-        <b>Power Status:</b> {Power Status}<br/>
-        <b>Vibration (g):</b> {Vibration (g)}<br/>
-        <b>Camera:</b> {Camera Status}<br/>
-        <b>Solar (kWh):</b> {Solar (kWh)}<br/>
-        <b>Wind (kWh):</b> {Wind (kWh)}<br/>
-        <b>Last Checked:</b> {Last Checked}
-        """,
-        "style": {
-            "backgroundColor": "steelblue",
-            "color": "white",
-            "fontSize": "12px"
+
+    fault_df = site_df[site_df.apply(fault_condition, axis=1)] if selected_faults else site_df
+
+    # ---- Map Color Logic ----
+    def get_color(alert):
+        if alert == 'Green':
+            return [0, 255, 0, 160]
+        elif alert == 'Yellow':
+            return [255, 255, 0, 160]
+        elif alert == 'Red':
+            return [255, 0, 0, 160]
+        return [128, 128, 128, 160]
+
+    fault_df['color'] = fault_df['Alert Level'].apply(get_color)
+
+    # ---- Map ----
+    st.subheader("📍 Pole Locations with Selected Faults")
+    st.pydeck_chart(pdk.Deck(
+        initial_view_state=pdk.ViewState(
+            latitude=SITES[selected_site]["coords"][0],
+            longitude=SITES[selected_site]["coords"][1],
+            zoom=12,
+            pitch=50
+        ),
+        layers=[ 
+            pdk.Layer(
+                'ScatterplotLayer',
+                data=fault_df,
+                get_position='[Longitude, Latitude]',
+                get_color='color',
+                get_radius=100,
+                pickable=True,
+            )
+        ],
+        tooltip={ 
+            "html": """
+            <b>Pole ID:</b> {Pole ID}<br/>
+            <b>Zone:</b> {Zone}<br/>
+            <b>Alert Level:</b> {Alert Level}<br/>
+            <b>Health Score:</b> {Health Score}<br/>
+            <b>Power Status:</b> {Power Status}<br/>
+            <b>Vibration (g):</b> {Vibration (g)}<br/>
+            <b>Camera:</b> {Camera Status}<br/>
+            <b>Solar (kWh):</b> {Solar (kWh)}<br/>
+            <b>Wind (kWh):</b> {Wind (kWh)}<br/>
+            <b>Last Checked:</b> {Last Checked}
+            """,
+            "style": {
+                "backgroundColor": "steelblue",
+                "color": "white",
+                "fontSize": "12px"
+            }
         }
-    }
-))
+    ))