import streamlit as st
import plotly.graph_objects as go
import time
import random

# Function to simulate the sunlight intensity
def get_sunlight_intensity():
    return random.uniform(0, 1)  # Random intensity between 0 and 1

# Function to create the solar panel working animation
def plot_solar_panel(intensity):
    # Define Solar Panel
    fig = go.Figure()

    # Add the solar panel as a rectangle
    fig.add_shape(
        type="rect",
        x0=0, y0=0,
        x1=10, y1=5,
        line=dict(color="black", width=3),
        fillcolor="yellow" if intensity > 0.5 else "gray",
    )
    
    # Title of the plot
    fig.update_layout(
        title=f"Solar Panel - Efficiency: {intensity*100:.2f}%",
        showlegend=False,
        plot_bgcolor='white',
        xaxis=dict(showgrid=False, zeroline=False),
        yaxis=dict(showgrid=False, zeroline=False),
        margin=dict(l=0, r=0, t=30, b=0)
    )
    
    return fig

# Streamlit UI
st.title("Real-Time Solar Panel Simulation")

# Display a message explaining the app
st.markdown("""
    This app simulates the real-time operation of a solar panel.
    The panel's efficiency will change based on simulated sunlight intensity.
    """)

# Simulate the solar panel working in real-time
st.write("Simulating Solar Panel Efficiency...")
st.write("Refreshing every second...")

# Create a plot to display the solar panel's operation
while True:
    # Get random sunlight intensity (0 to 1 scale)
    sunlight_intensity = get_sunlight_intensity()

    # Plot the solar panel with the current intensity
    fig = plot_solar_panel(sunlight_intensity)

    # Display the Plotly chart in Streamlit
    st.plotly_chart(fig)

    # Wait for a short period before updating
    time.sleep(1)