Delete app.py

app.py

@@ -1,159 +0,0 @@
-import random
-import pandas as pd
-import streamlit as st
-import pydeck as pdk
-from datetime import datetime, timedelta
-import math
-
-# ---- Constants ----
-POLES_PER_SITE = 12
-SITES = {
-    "Hyderabad": [17.329181, 78.610091],
-    "Gadwal": [16.242267, 77.802164],
-    "Kurnool": [15.816862, 78.056204],
-    "Ballari": [15.159301, 76.908508]
-}
-ALERT_LEVELS = ["Green", "Yellow", "Red"]
-DISTANCE_BETWEEN_POLES_METERS = 3.048  # 10 feet in meters
-
-# ---- Helper Functions ----
-def generate_grid_locations(base_lat, base_lon, count):
-    poles = []
-    spacing_deg_lat = DISTANCE_BETWEEN_POLES_METERS / 111320  # 1 deg lat ~ 111.32 km
-    spacing_deg_lon = DISTANCE_BETWEEN_POLES_METERS / (40075000 * math.cos(math.radians(base_lat)) / 360)  # adjust for longitude distance
-    grid_size = int(math.ceil(math.sqrt(count)))
-    for i in range(count):
-        row = i // grid_size
-        col = i % grid_size
-        lat = base_lat + (row * spacing_deg_lat)
-        lon = base_lon + (col * spacing_deg_lon)
-        poles.append((lat, lon))
-    return poles
-
-def simulate_pole(pole_id, site_name, lat, lon):
-    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")
-
-# Simulate data across all sites
-all_poles = []
-for site_name, (base_lat, base_lon) in SITES.items():
-    locations = generate_grid_locations(base_lat, base_lon, POLES_PER_SITE)
-    for idx, (lat, lon) in enumerate(locations):
-        all_poles.append(simulate_pole(idx + 1, site_name, lat, lon))
-
-df = pd.DataFrame(all_poles)
-
-# Site buttons
-st.subheader("📍 Select Site")
-selected_site = st.columns(len(SITES))
-selected_site_name = None
-for i, site in enumerate(SITES.keys()):
-    if selected_site[i].button(site):
-        selected_site_name = site
-
-if not selected_site_name:
-    selected_site_name = list(SITES.keys())[0]  # Default to first site
-
-# Filter by Alert Level (Green, Yellow, Red)
-st.subheader("🚦 Alert Level Filters")
-col_g, col_y, col_r = st.columns(3)
-show_green = col_g.checkbox("Green", True)
-show_yellow = col_y.checkbox("Yellow", True)
-show_red = col_r.checkbox("Red", True)
-
-alert_filter = []
-if show_green: alert_filter.append("Green")
-if show_yellow: alert_filter.append("Yellow")
-if show_red: alert_filter.append("Red")
-
-site_df = df[(df['Site'] == selected_site_name) & (df['Alert Level'].isin(alert_filter))]
-
-# 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_name} - Alerts: {', '.join(alert_filter)}")
-st.dataframe(site_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 showing all alerts across all sites
-st.subheader("📍 Map of All Alert Pole Locations")
-alert_df = df[df['Alert Level'].isin(alert_filter)]
-if not alert_df.empty:
-    def get_color(row):
-        return {
-            'Green': [0, 255, 0, 160],
-            'Yellow': [255, 255, 0, 160],
-            'Red': [255, 0, 0, 160]
-        }[row['Alert Level']]
-
-    alert_df['color'] = alert_df.apply(get_color, axis=1)
-
-    st.pydeck_chart(pdk.Deck(
-        initial_view_state=pdk.ViewState(
-            latitude=16.5,
-            longitude=77.5,
-            zoom=6,
-            pitch=45
-        ),
-        layers=[
-            pdk.Layer(
-                'ScatterplotLayer',
-                data=alert_df,
-                get_position='[Longitude, Latitude]',
-                get_color='color',
-                get_radius=100,
-                pickable=True
-            )
-        ],
-        tooltip={"text": "Site: {Site}\nPole ID: {Pole ID}\nAlert: {Alert Level}"}
-    ))
-else:
-    st.info("No alerts for the selected levels across all sites.")