185 lines
6.3 KiB
JavaScript
185 lines
6.3 KiB
JavaScript
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 || 3051;
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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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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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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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const haversineKm = (lat1, lon1, lat2, lon2) => {
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const R = 6371;
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const toRad = (d) => d * Math.PI / 180;
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const dLat = toRad(lat2 - lat1);
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const dLon = toRad(lon2 - lon1);
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const a = Math.sin(dLat / 2) ** 2 + Math.cos(toRad(lat1)) * Math.cos(toRad(lat2)) * Math.sin(dLon / 2) ** 2;
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return R * 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
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};
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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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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 request: lat=${startLat}, lon=${startLon}, bearing=${bearing}, tolerance=${toleranceKm}`);
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try {
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const pathPoints = [];
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const totalDistance = 40074;
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const steps = 160;
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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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// Bulk land check: use a single query for all points to avoid connection pool exhaustion
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const waterStart = Date.now();
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const waterCheckQuery = `
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WITH points AS (
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SELECT i, ST_SetSRID(ST_MakePoint(val[1], val[2]), 4326)::geography as p_geom
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FROM unnest($1::float8[][]) WITH ORDINALITY AS t(val, i)
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)
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SELECT i, EXISTS (
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SELECT 1 FROM cities
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WHERE ST_DWithin(geom, p_geom, 500000)
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LIMIT 1
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) as has_land
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FROM points
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ORDER BY i;
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`;
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const pointsArray = pathPoints.map(p => [p.lon, p.lat]);
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const waterResults = await pool.query(waterCheckQuery, [pointsArray]);
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const waterChecks = waterResults.rows.map(r => !r.has_land);
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console.log(`Bulk water check completed in ${Date.now() - waterStart}ms for ${pathPoints.length} points.`);
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const pathPointsWithWater = pathPoints.map((p, i) => ({
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...p,
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is_over_water: waterChecks[i]
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}));
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const lineWKT = `LINESTRING(${pathPoints.map(p => `${p.lon} ${p.lat}`).join(',')})`;
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// Top 5 cities per 100 km bin, ranked by population descending
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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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ST_MakePoint($3, $4)::geography as start_node
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),
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candidates AS (
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SELECT
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id, name, population, 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_off_line_km,
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ST_Distance(geom, (SELECT start_node FROM path)) / 1000 as distance_from_start_km,
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ST_LineLocatePoint((SELECT route FROM path)::geography::geometry, geom::geometry) as pos_on_line,
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FLOOR(ST_LineLocatePoint((SELECT route FROM path)::geography::geometry, geom::geometry) * 200)::int as bin_200km
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FROM cities
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WHERE ST_DWithin(geom, (SELECT route FROM path), $2 * 1000)
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),
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ranked AS (
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SELECT *,
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ROW_NUMBER() OVER (PARTITION BY bin_200km ORDER BY population DESC NULLS LAST) as rank_in_bin
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FROM candidates
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)
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SELECT id, name, population, country, lat, lon,
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distance_off_line_km, distance_from_start_km, pos_on_line
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FROM ranked
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WHERE rank_in_bin <= 10
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ORDER BY pos_on_line ASC;
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`;
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const startTime = Date.now();
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const result = await pool.query(query, [lineWKT, toleranceKm, startLon, startLat]);
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const queryTime = Date.now() - startTime;
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console.log(`Query completed in ${queryTime}ms. Found ${result.rows.length} candidates.`);
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const startDedupe = Date.now();
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// Greedy dynamic deduplication...
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const byPopulation = [...result.rows].sort((a, b) => (b.population || 0) - (a.population || 0));
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const accepted = [];
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for (const city of byPopulation) {
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const cityPop = city.population || 0;
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const tooClose = accepted.some(s => {
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const dist = haversineKm(s.lat, s.lon, city.lat, city.lon);
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const sPop = s.population || 0;
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if (cityPop > 1000000 && sPop > 1000000) return dist < 30;
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if (cityPop > 100000 || sPop > 100000) return dist < 50;
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return dist < 80;
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});
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if (!tooClose) accepted.push(city);
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}
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accepted.sort((a, b) => a.pos_on_line - b.pos_on_line);
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console.log(`Deduplication completed in ${Date.now() - startDedupe}ms. Final count: ${accepted.length}`);
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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: accepted.map(row => ({
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...row,
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name: row.name || 'Unknown',
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country: row.country || 'Unknown',
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distance_km: Math.round(row.distance_from_start_km),
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off_line_km: Math.round(row.distance_off_line_km)
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})),
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line_coordinates: pathPointsWithWater
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}
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});
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console.log(`Request fully processed in ${Date.now() - startTime}ms`);
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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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app.get('/api/health', (req, res) => {
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res.json({ status: 'ok', timestamp: new Date().toISOString() });
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});
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if (require.main === module) {
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app.listen(PORT, '0.0.0.0', () => {
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console.log(`Line of Sight Backend running on port ${PORT}`);
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});
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}
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module.exports = { app, calculateDestination };
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