Code Editor for app.py

import streamlit as st
import pandas as pd
import numpy as np
import requests

# Function to fetch elevation profile from a simulated API
def fetch_elevation_profile(lat_lon_list):
    # Simulate fetching elevation data: Replace with an actual API call if necessary
    elevation_data = [np.interp(np.random.rand(), [0, 1], [100, 200]) for _ in lat_lon_list]
    return elevation_data

# Function to calculate cumulative climb and pressure drop
def calculate_pressure_drop(flow_rate, pipe_diameter, elevation_changes):
    # Simulate calculations for cumulative climb and pressure drop
    cumulative_climb = sum(elevation_changes)
    pressure_drop = (flow_rate / (pipe_diameter ** 2)) * cumulative_climb * 0.01  # Example formula
    return cumulative_climb, pressure_drop

# Streamlit app layout
st.title('Pipeline Path Visualizer')

# Input for flow rate and pipe diameter
flow_rate = st.sidebar.number_input('Flow Rate (L/s)', min_value=0.0)
pipe_diameter = st.sidebar.number_input('Pipe Diameter (cm)', min_value=0.0)

# Placeholder for map interaction to draw/select points
st.subheader('Map Interaction')
coordinates = st.text_area('Enter Latitude, Longitude (comma separated) for points (e.g., 37.7749,-122.4194):')

if coordinates:
    lat_lon_list = [tuple(map(float, point.split(','))) for point in coordinates.split('\n')]
    st.write('Selected Points:', lat_lon_list)
    elevation_profile = fetch_elevation_profile(lat_lon_list)
    st.write('Elevation Profile:', elevation_profile)

    # Calculation of elevation changes
    elevation_changes = np.diff(elevation_profile)
    cumulative_climb, pressure_drop = calculate_pressure_drop(flow_rate, pipe_diameter, elevation_changes)

    # Display results
    st.subheader('Results')
    st.write('Cumulative Climb (m):', cumulative_climb)
    st.write('Pressure Drop (Pa):', pressure_drop)
else:
    st.info('Please enter the points to see results')