143 lines
4.0 KiB
TypeScript
143 lines
4.0 KiB
TypeScript
// Test script for institute geocoder functions
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// This can be run in the browser console or as a standalone test
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interface TestCase {
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name: string
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address: string
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expected_coords?: {
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latitude: number
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longitude: number
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}
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}
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const testCases: TestCase[] = [
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{
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name: "10 Downing Street, London",
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address: "10 Downing Street, London",
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expected_coords: {
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latitude: 51.5034878,
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longitude: -0.1276965
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}
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},
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{
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name: "Buckingham Palace, London",
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address: "Buckingham Palace, London",
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expected_coords: {
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latitude: 51.501364,
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longitude: -0.124432
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}
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},
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{
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name: "Big Ben, London",
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address: "Big Ben, London",
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expected_coords: {
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latitude: 51.499479,
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longitude: -0.124809
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}
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}
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]
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async function testGeocoding() {
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console.log("🧪 Starting Institute Geocoder Tests...")
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for (const testCase of testCases) {
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console.log(`\n📍 Testing: ${testCase.name}`)
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try {
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// Test the SearXNG service directly
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const searchQuery = `!osm ${testCase.address}`
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const searchUrl = `https://search.kevlarai.com/search?q=${encodeURIComponent(searchQuery)}&format=json`
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console.log(`🔍 Searching: ${searchUrl}`)
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const response = await fetch(searchUrl)
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}: ${response.statusText}`)
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}
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const data = await response.json()
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console.log(`📊 Results: ${data.number_of_results} found`)
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if (data.results && data.results.length > 0) {
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const result = data.results[0]
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const coords = {
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latitude: parseFloat(result.latitude),
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longitude: parseFloat(result.longitude)
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}
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console.log(`✅ Coordinates: ${coords.latitude}, ${coords.longitude}`)
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if (testCase.expected_coords) {
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const latDiff = Math.abs(coords.latitude - testCase.expected_coords.latitude)
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const lonDiff = Math.abs(coords.longitude - testCase.expected_coords.longitude)
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if (latDiff < 0.01 && lonDiff < 0.01) {
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console.log(`🎯 Accuracy: High (within 0.01 degrees)`)
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} else if (latDiff < 0.1 && lonDiff < 0.1) {
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console.log(`🎯 Accuracy: Medium (within 0.1 degrees)`)
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} else {
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console.log(`⚠️ Accuracy: Low (difference > 0.1 degrees)`)
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}
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}
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if (result.boundingbox) {
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console.log(`🗺️ Bounding Box: ${result.boundingbox.join(', ')}`)
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}
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if (result.geojson) {
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console.log(`🗺️ GeoJSON: ${result.geojson.type} with ${result.geojson.coordinates?.[0]?.length || 0} points`)
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}
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} else {
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console.log(`❌ No results found`)
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}
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} catch (error) {
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console.error(`❌ Test failed: ${error.message}`)
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}
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}
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console.log("\n🏁 Testing completed!")
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}
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// Test address parsing function
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function testAddressParsing() {
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console.log("\n🔧 Testing Address Parsing...")
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const testAddresses = [
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{
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street: "10 Downing Street",
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town: "London",
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county: "Greater London",
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postcode: "SW1A 2AA",
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country: "United Kingdom"
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},
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{
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street: "Buckingham Palace",
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town: "London",
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county: "Greater London",
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postcode: "SW1A 1AA",
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country: "United Kingdom"
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}
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]
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for (const addr of testAddresses) {
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const parts = [addr.street, addr.town, addr.county, addr.postcode, addr.country].filter(Boolean)
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const searchQuery = parts.join(', ')
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console.log(`📍 Address: ${searchQuery}`)
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}
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}
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// Run tests if this script is executed directly
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if (typeof window !== 'undefined') {
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// Browser environment
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window.testGeocoding = testGeocoding
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window.testAddressParsing = testAddressParsing
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console.log("🧪 Institute Geocoder tests loaded. Run testGeocoding() or testAddressParsing() to test.")
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} else {
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// Node.js environment
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console.log("🧪 Institute Geocoder tests loaded.")
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}
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export { testGeocoding, testAddressParsing }
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