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# Fetch the raw candidate parcels JSON dataset
curl -X GET http://35.202.243.209/siting_results.json -o candidates.json

# Fetch the substations GeoJSON dataset
curl -X GET http://35.202.243.209/substations.geojson -o substations.geojson

import requests

# 1. Fetch candidate parcels programmatically
url = "http://35.202.243.209/siting_results.json"
response = requests.get(url)
candidates = response.json()

print(f"Successfully loaded {len(candidates)} candidate parcels.")

# 2. Filter programmatically (e.g., parcels > 10 acres near ELGIN WOODS)
filtered_sites = [
    site for site in candidates 
    if site["acres"] >= 10.0 and "ELGIN" in site["substation"]
]

print(f"Found {len(filtered_sites)} large candidate sites near Elgin:")
for site in filtered_sites[:5]:
    print(f" - Prop ID: {site['prop_id']} | {site['acres']} acres | City: {site['city']}")

// Fetch candidate parcels programmatically
fetch('http://35.202.243.209/siting_results.json')
  .then(response => response.json())
  .then(candidates => {
    console.log(`Loaded ${candidates.length} candidate parcels.`);
    
    // Filter for parcels larger than 5 acres
    const largeParcels = candidates.filter(c => c.acres >= 5.0);
    console.log(`Found ${largeParcels.length} parcels larger than 5 acres.`);
    
    // Example: Accessing GeoJSON geometry for custom mapping
    if (largeParcels.length > 0) {
      const firstParcel = largeParcels[0];
      console.log(`Property ID: ${firstParcel.prop_id}`);
      console.log(`Geometry Type: ${firstParcel.geometry.type}`);
    }
  })
  .catch(err => console.error('Error fetching siting data:', err));