Implement real GIS data import and PostGIS spatial queries
This commit is contained in:
+90
-50
@@ -1,66 +1,106 @@
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const express = require('express');
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const cors = require('cors');
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const { Pool } = require('pg');
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require('dotenv').config();
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const app = express();
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const PORT = process.env.PORT || 3001;
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// Database connection pool
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const pool = new Pool({
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connectionString: process.env.DATABASE_URL || 'postgresql://line_of_sight:line_of_sight_pass@postgres:5432/line_of_sight'
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});
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app.use(cors());
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app.use(express.json());
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// Mock conurbation data for MVP
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const MOCK_CONURBATIONS = [
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{ id: 1, name: "London", population: 9000000, distance_km: 0, lat: 51.5074, lon: -0.1278 },
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{ id: 2, name: "Paris", population: 2161000, distance_km: 344, lat: 48.8566, lon: 2.3522 },
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{ id: 3, name: "Berlin", population: 3644000, distance_km: 878, lat: 52.5200, lon: 13.4050 },
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{ id: 4, name: "Warsaw", population: 1793000, distance_km: 1200, lat: 52.2297, lon: 21.0122 },
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{ id: 5, name: "Moscow", population: 12506000, distance_km: 2063, lat: 55.7558, lon: 37.6173 },
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{ id: 6, name: "Kazan", population: 1257000, distance_km: 2850, lat: 55.7897, lon: 49.1219 },
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{ id: 7, name: "Almaty", population: 2000000, distance_km: 3900, lat: 43.2220, lon: 76.8512 },
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{ id: 8, name: "Urumqi", population: 3500000, distance_km: 4500, lat: 43.8256, lon: 87.6168 },
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{ id: 9, name: "Lahore", population: 11126000, distance_km: 5400, lat: 31.5204, lon: 74.3587 },
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{ id: 10, name: "New Delhi", population: 29399000, distance_km: 5800, lat: 28.6139, lon: 77.2090 },
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{ id: 11, name: "Dhaka", population: 21006000, distance_km: 6200, lat: 23.8103, lon: 90.4125 },
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{ id: 12, name: "Chennai", population: 10971000, distance_km: 6500, lat: 13.0827, lon: 80.2707 },
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{ id: 13, name: "Bangkok", population: 10539000, distance_km: 7200, lat: 13.7563, lon: 100.5018 },
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{ id: 14, name: "Jakarta", population: 10562000, distance_km: 8100, lat: -6.2088, lon: 106.8456 },
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{ id: 15, name: "Singapore", population: 5686000, distance_km: 8300, lat: 1.3521, lon: 103.8198 },
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{ id: 16, name: "Manila", population: 17801000, distance_km: 8700, lat: 14.5995, lon: 120.9842 },
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{ id: 17, name: "Tokyo", population: 37400000, distance_km: 9500, lat: 35.6762, lon: 139.6503 },
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{ id: 18, name: "Seoul", population: 9720000, distance_km: 9200, lat: 37.5665, lon: 126.9780 },
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{ id: 19, name: "Beijing", population: 21540000, distance_km: 8900, lat: 39.9042, lon: 116.4074 },
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{ id: 20, name: "Shanghai", population: 27058000, distance_km: 9000, lat: 31.2304, lon: 121.4737 }
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];
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// Helper to calculate destination point given start, bearing, and distance (km)
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const calculateDestination = (lat, lon, bearing, distance) => {
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const R = 6371;
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const brng = (bearing * Math.PI) / 180;
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const φ1 = (lat * Math.PI) / 180;
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const λ1 = (lon * Math.PI) / 180;
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const δ = distance / R;
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// Mock API endpoint - returns dummy conurbations based on input coordinates
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app.get('/api/line-of-sight', (req, res) => {
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const φ2 = Math.asin(
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Math.sin(φ1) * Math.cos(δ) +
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Math.cos(φ1) * Math.sin(δ) * Math.cos(brng)
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);
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const λ2 =
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λ1 +
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Math.atan2(
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Math.sin(brng) * Math.sin(δ) * Math.cos(φ1),
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Math.cos(δ) - Math.sin(φ1) * Math.sin(φ2)
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);
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return {
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lat: (φ2 * 180) / Math.PI,
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lon: (((λ2 * 180) / Math.PI + 540) % 360) - 180
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};
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};
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// Real API endpoint - uses PostGIS for spatial queries
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app.get('/api/line-of-sight', async (req, res) => {
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const { lat, lon, direction, tolerance } = req.query;
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console.log(`Received request: lat=${lat}, lon=${lon}, direction=${direction}, tolerance=${tolerance}`);
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// Return mock data for MVP
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res.json({
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success: true,
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data: {
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start_point: { lat: parseFloat(lat) || 51.5074, lon: parseFloat(lon) || -0.1278 },
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direction: parseInt(direction) || 45,
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tolerance_km: parseInt(tolerance) || 50,
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conurbations: MOCK_CONURBATIONS.slice(0, 20),
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line_coordinates: [
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{ lat: 51.5074, lon: -0.1278 },
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{ lat: 48.8566, lon: 2.3522 },
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{ lat: 52.5200, lon: 13.4050 },
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{ lat: 55.7558, lon: 37.6173 },
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{ lat: 43.2220, lon: 76.8512 },
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{ lat: 28.6139, lon: 77.2090 },
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{ lat: 13.7563, lon: 100.5018 },
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{ lat: -6.2088, lon: 106.8456 },
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{ lat: 35.6762, lon: 139.6503 },
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{ lat: 51.5074, lon: -0.1278 } // Complete the circle
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]
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},
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message: "Mock data returned for MVP - Real geospatial calculations coming soon"
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});
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const startLat = parseFloat(lat) || 51.5074;
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const startLon = parseFloat(lon) || -0.1278;
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const bearing = parseInt(direction) || 0;
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const toleranceKm = parseInt(tolerance) || 50;
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console.log(`Processing real request: lat=${startLat}, lon=${startLon}, bearing=${bearing}, tolerance=${toleranceKm}`);
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try {
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// Generate path points for visualization and spatial query
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const pathPoints = [];
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const totalDistance = 10000;
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const steps = 20;
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for (let i = 0; i <= steps; i++) {
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const dist = (totalDistance * i) / steps;
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pathPoints.push(calculateDestination(startLat, startLon, bearing, dist));
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}
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const lineWKT = `LINESTRING(${pathPoints.map(p => `${p.lon} ${p.lat}`).join(',')})`;
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const query = `
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WITH path AS (
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SELECT ST_GeogFromText($1) as route
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)
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SELECT
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id,
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name,
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population,
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country,
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ST_Y(geom::geometry) as lat,
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ST_X(geom::geometry) as lon,
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ST_Distance(geom, (SELECT route FROM path)) / 1000 as distance_to_line_km,
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ST_LineLocatePoint((SELECT route FROM path)::geometry, geom::geometry) as pos_on_line
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FROM cities
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WHERE ST_DWithin(geom, (SELECT route FROM path), $2 * 1000)
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ORDER BY pos_on_line ASC
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LIMIT 20;
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`;
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const result = await pool.query(query, [lineWKT, toleranceKm]);
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res.json({
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success: true,
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data: {
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start_point: { lat: startLat, lon: startLon },
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direction: bearing,
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tolerance_km: toleranceKm,
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conurbations: result.rows.map(row => ({
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...row,
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distance_km: Math.round(row.distance_to_line_km)
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})),
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line_coordinates: pathPoints
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}
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});
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} catch (err) {
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console.error('Database query error:', err);
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res.status(500).json({ success: false, error: 'Database query failed' });
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}
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});
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// Health check endpoint
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Generated
+132
@@ -8,6 +8,7 @@
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"name": "line-of-sight-backend",
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"version": "1.0.0",
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"dependencies": {
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"axios": "^1.13.6",
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"cors": "^2.8.6",
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"dotenv": "^17.3.1",
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"express": "^5.2.1",
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@@ -1426,6 +1427,23 @@
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"sprintf-js": "~1.0.2"
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}
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},
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"node_modules/asynckit": {
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"version": "0.4.0",
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"resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
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"license": "MIT"
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},
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"node_modules/axios": {
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"version": "1.13.6",
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"resolved": "https://registry.npmjs.org/axios/-/axios-1.13.6.tgz",
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"license": "MIT",
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"dependencies": {
|
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"follow-redirects": "^1.15.11",
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"form-data": "^4.0.5",
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"proxy-from-env": "^1.1.0"
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}
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},
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"node_modules/babel-jest": {
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"version": "30.3.0",
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"resolved": "https://registry.npmjs.org/babel-jest/-/babel-jest-30.3.0.tgz",
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@@ -1891,6 +1909,18 @@
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"dev": true
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},
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"node_modules/combined-stream": {
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"version": "1.0.8",
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"resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
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"integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
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"license": "MIT",
|
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"dependencies": {
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"delayed-stream": "~1.0.0"
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},
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"engines": {
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"node": ">= 0.8"
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}
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},
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"node_modules/concat-map": {
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"version": "0.0.1",
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"resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
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@@ -2008,6 +2038,15 @@
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"node": ">=0.10.0"
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}
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},
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"node_modules/delayed-stream": {
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"version": "1.0.0",
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"resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
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"license": "MIT",
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"engines": {
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"node": ">=0.4.0"
|
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}
|
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},
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"node_modules/depd": {
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"version": "2.0.0",
|
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"resolved": "https://registry.npmjs.org/depd/-/depd-2.0.0.tgz",
|
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@@ -2128,6 +2167,21 @@
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"node": ">= 0.4"
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}
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},
|
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"node_modules/es-set-tostringtag": {
|
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"version": "2.1.0",
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"license": "MIT",
|
||||
"dependencies": {
|
||||
"es-errors": "^1.3.0",
|
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"get-intrinsic": "^1.2.6",
|
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"has-tostringtag": "^1.0.2",
|
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"hasown": "^2.0.2"
|
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},
|
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"engines": {
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"node": ">= 0.4"
|
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}
|
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"node_modules/escalade": {
|
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"version": "3.2.0",
|
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"resolved": "https://registry.npmjs.org/escalade/-/escalade-3.2.0.tgz",
|
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@@ -2329,6 +2383,26 @@
|
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"node": ">=8"
|
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}
|
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},
|
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"node_modules/follow-redirects": {
|
||||
"version": "1.15.11",
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"resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.11.tgz",
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|
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"funding": [
|
||||
{
|
||||
"type": "individual",
|
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"url": "https://github.com/sponsors/RubenVerborgh"
|
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}
|
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],
|
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"license": "MIT",
|
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"engines": {
|
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"node": ">=4.0"
|
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},
|
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"peerDependenciesMeta": {
|
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"debug": {
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"optional": true
|
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}
|
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}
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},
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"node_modules/foreground-child": {
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"version": "3.3.1",
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"resolved": "https://registry.npmjs.org/foreground-child/-/foreground-child-3.3.1.tgz",
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@@ -2345,6 +2419,43 @@
|
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"url": "https://github.com/sponsors/isaacs"
|
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}
|
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},
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"node_modules/form-data": {
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"version": "4.0.5",
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"resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.5.tgz",
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"license": "MIT",
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"dependencies": {
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"asynckit": "^0.4.0",
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"combined-stream": "^1.0.8",
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"es-set-tostringtag": "^2.1.0",
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"hasown": "^2.0.2",
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"mime-types": "^2.1.12"
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},
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"engines": {
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"node": ">= 6"
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}
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},
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"node_modules/form-data/node_modules/mime-db": {
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"version": "1.52.0",
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"resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
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"license": "MIT",
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"engines": {
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"node": ">= 0.6"
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}
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},
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"node_modules/form-data/node_modules/mime-types": {
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"version": "2.1.35",
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"resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
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"integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
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"mime-db": "1.52.0"
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@@ -2533,6 +2644,21 @@
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||||
"url": "https://github.com/sponsors/ljharb"
|
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}
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},
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"node_modules/has-tostringtag": {
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"version": "1.0.2",
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"resolved": "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.2.tgz",
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"license": "MIT",
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"dependencies": {
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"has-symbols": "^1.0.3"
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},
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"engines": {
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"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
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}
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},
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"node_modules/hasown": {
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"version": "2.0.2",
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"resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz",
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@@ -4158,6 +4284,12 @@
|
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"node": ">= 0.10"
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}
|
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},
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"node_modules/proxy-from-env": {
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"version": "1.1.0",
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"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
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"license": "MIT"
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},
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"node_modules/pstree.remy": {
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"version": "1.1.8",
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"resolved": "https://registry.npmjs.org/pstree.remy/-/pstree.remy-1.1.8.tgz",
|
||||
|
||||
@@ -6,16 +6,18 @@
|
||||
"scripts": {
|
||||
"start": "node app/server.js",
|
||||
"dev": "nodemon app/server.js",
|
||||
"test": "jest"
|
||||
"test": "jest",
|
||||
"seed-data": "node scripts/import_cities.js"
|
||||
},
|
||||
"dependencies": {
|
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"express": "^5.2.1",
|
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"axios": "^1.13.6",
|
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"cors": "^2.8.6",
|
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"pg": "^8.20.0",
|
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"dotenv": "^17.3.1"
|
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"dotenv": "^17.3.1",
|
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"express": "^5.2.1",
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"pg": "^8.20.0"
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},
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"devDependencies": {
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"nodemon": "^3.1.14",
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"jest": "^30.3.0"
|
||||
"jest": "^30.3.0",
|
||||
"nodemon": "^3.1.14"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,82 @@
|
||||
const { Client } = require('pg');
|
||||
const axios = require('axios');
|
||||
require('dotenv').config();
|
||||
|
||||
const DATA_URL = 'https://raw.githubusercontent.com/nvkelso/natural-earth-vector/master/geojson/ne_10m_populated_places_simple.geojson';
|
||||
|
||||
async function importCities() {
|
||||
const client = new Client({
|
||||
connectionString: process.env.DATABASE_URL || 'postgresql://line_of_sight:line_of_sight_pass@localhost:5432/line_of_sight'
|
||||
});
|
||||
|
||||
try {
|
||||
console.log('Connecting to database...');
|
||||
await client.connect();
|
||||
|
||||
console.log('Downloading Natural Earth data (GeoJSON)...');
|
||||
const response = await axios.get(DATA_URL);
|
||||
const data = response.data;
|
||||
|
||||
console.log(`Downloaded ${data.features.length} features. Preparing database...`);
|
||||
|
||||
// Ensure table exists and is clean
|
||||
await client.query('TRUNCATE TABLE cities');
|
||||
|
||||
let count = 0;
|
||||
const batchSize = 100;
|
||||
|
||||
for (let i = 0; i < data.features.length; i += batchSize) {
|
||||
const batch = data.features.slice(i, i + batchSize);
|
||||
|
||||
const values = [];
|
||||
const queryParts = [];
|
||||
|
||||
batch.forEach((feature, index) => {
|
||||
const props = feature.properties;
|
||||
const coords = feature.geometry.coordinates; // [lon, lat]
|
||||
|
||||
const name = props.NAME || 'Unknown';
|
||||
const population = props.POP_MAX || 0;
|
||||
const country = props.ADM0NAME || 'Unknown';
|
||||
const lon = coords[0];
|
||||
const lat = coords[1];
|
||||
|
||||
const baseIndex = index * 4;
|
||||
queryParts.push(`($${baseIndex + 1}, $${baseIndex + 2}, $${baseIndex + 3}, ST_SetSRID(ST_MakePoint($${baseIndex + 4}, $${baseIndex + 1}), 4326)::geography)`);
|
||||
values.push(lat, name, population, country, lon); // Note: ST_MakePoint takes lon, lat
|
||||
});
|
||||
|
||||
// Simple positional mapping for query (lat, name, pop, country, lon)
|
||||
// Actually let's refine the query to be clearer
|
||||
const refinedQueryParts = [];
|
||||
const refinedValues = [];
|
||||
|
||||
batch.forEach((feature, index) => {
|
||||
const p = feature.properties;
|
||||
const c = feature.geometry.coordinates;
|
||||
const base = index * 5;
|
||||
refinedQueryParts.push(`($${base + 1}, $${base + 2}, $${base + 3}, ST_SetSRID(ST_MakePoint($${base + 4}, $${base + 5}), 4326)::geography)`);
|
||||
refinedValues.push(p.NAME || 'Unknown', p.POP_MAX || 0, p.ADM0NAME || 'Unknown', c[0], c[1]);
|
||||
});
|
||||
|
||||
await client.query(
|
||||
`INSERT INTO cities (name, population, country, geom) VALUES ${refinedQueryParts.join(',')}`,
|
||||
refinedValues
|
||||
);
|
||||
|
||||
count += batch.length;
|
||||
if (count % 1000 === 0 || count === data.features.length) {
|
||||
console.log(`Imported ${count}/${data.features.length} cities...`);
|
||||
}
|
||||
}
|
||||
|
||||
console.log('SUCCESS: Natural Earth data import complete.');
|
||||
|
||||
} catch (err) {
|
||||
console.error('ERROR during import:', err);
|
||||
} finally {
|
||||
await client.end();
|
||||
}
|
||||
}
|
||||
|
||||
importCities();
|
||||
Reference in New Issue
Block a user