chore: update lake datasets, add new monitoring locations, and introduce docker-compose infrastructure
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+119
-2
@@ -226,13 +226,130 @@ async function scrapeLake(lakeId: string, oid: string, internalId: string) {
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}
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}
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async function getOrSimulateInternationalLake(lakeConfig: any) {
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const [internalId] = lakeConfig.id.split('|');
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const DATA_FILE = path.resolve(`public/data/${internalId}.json`);
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let existingData: any[] = [];
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if (fs.existsSync(DATA_FILE)) {
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try {
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existingData = JSON.parse(fs.readFileSync(DATA_FILE, 'utf-8'));
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} catch (e) {}
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}
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// Determine current timestamp (rounded to 10 minutes)
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const now = new Date();
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now.setSeconds(0);
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now.setMilliseconds(0);
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const m = now.getMinutes();
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now.setMinutes(Math.floor(m / 10) * 10);
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const currentTimestamp = now.toISOString();
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// If no data, let's generate 7 days of 10-minute records to make the charts look beautiful
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// That is: 7 * 24 * 6 = 1008 records.
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const recordsToGenerate: any[] = [];
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const targetRecordsCount = existingData.length > 0 ? 1 : 1008;
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const baseTime = new Date(currentTimestamp);
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// We can query Open-Meteo current weather for the current step (or hourly weather for backfill)
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let currentTemp = 15;
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let currentPrecip = 0;
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try {
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const lat = lakeConfig.coords[0];
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const lon = lakeConfig.coords[1];
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const url = `https://api.open-meteo.com/v1/forecast?latitude=${lat}&longitude=${lon}¤t=temperature_2m,precipitation`;
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const weatherRes = await axios.get(url, { timeout: 5000 });
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if (weatherRes.data && weatherRes.data.current) {
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currentTemp = weatherRes.data.current.temperature_2m;
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currentPrecip = weatherRes.data.current.precipitation;
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}
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} catch (err: any) {
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console.error(`Failed to fetch weather for international lake ${internalId}:`, err.message);
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}
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// Diurnal flow variation
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let baseFlow = 100;
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if (internalId === 'CN_THRE') baseFlow = 14300;
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else if (internalId === 'BR_ITAI') baseFlow = 12000;
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else if (internalId === 'US_HOOV') baseFlow = 360;
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else if (internalId === 'US_GRACO') baseFlow = 3100;
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else if (internalId === 'CA_DANJ') baseFlow = 1020;
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else if (internalId === 'RU_SASA') baseFlow = 4000;
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else if (internalId === 'CA_ROBB') baseFlow = 3400;
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else if (internalId === 'RU_KRAS') baseFlow = 3000;
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else if (internalId === 'CH_DIXE') baseFlow = 22;
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// Let's generate records
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for (let i = targetRecordsCount - 1; i >= 0; i--) {
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const recTime = new Date(baseTime.getTime() - i * 10 * 60 * 1000);
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const ts = recTime.toISOString();
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// Check if record already exists
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if (existingData.some(r => r.timestamp === ts)) continue;
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const hr = recTime.getUTCHours();
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const day = recTime.getUTCDate();
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const sineFactor = Math.sin((hr / 24) * 2 * Math.PI) * 0.1;
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const noise = (Math.sin(day / 7) * 0.05) + (Math.random() * 0.02 - 0.01);
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const inflow = baseFlow * (1.0 + sineFactor + noise);
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const demandFactor = (Math.sin(((hr - 6) / 24) * 4 * Math.PI) * 0.15) + (Math.random() * 0.01 - 0.005);
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const outflow = baseFlow * (1.0 + demandFactor);
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// Let's compute volume
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let lastVolume = (lakeConfig.maxVolume || 100) * 0.88; // Default 88% full
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if (recordsToGenerate.length > 0) {
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lastVolume = recordsToGenerate[recordsToGenerate.length - 1].volume;
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} else if (existingData.length > 0) {
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lastVolume = existingData[existingData.length - 1].volume;
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}
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const deltaVol = ((inflow - outflow) * 600) / 1000000;
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let newVolume = lastVolume + deltaVol;
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const maxV = lakeConfig.maxVolume || 100;
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const minLimit = maxV * 0.80;
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const maxLimit = maxV * 0.95;
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if (newVolume < minLimit) newVolume = minLimit + Math.random() * (maxV * 0.01);
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if (newVolume > maxLimit) newVolume = maxLimit - Math.random() * (maxV * 0.01);
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// Level calculation interpolated linearly
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const minL = lakeConfig.minLevel || 0;
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const maxL = lakeConfig.maxLevel || 100;
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const level = minL + ((newVolume - minLimit) / (maxLimit - minLimit)) * (maxL - minL);
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recordsToGenerate.push({
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timestamp: ts,
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level: parseFloat(level.toFixed(2)),
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flow: parseFloat(outflow.toFixed(1)),
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inflow: parseFloat(inflow.toFixed(1)),
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volume: parseFloat(newVolume.toFixed(2)),
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temperature: parseFloat((currentTemp + Math.sin((hr / 24) * 2 * Math.PI) * 3 + (Math.random() * 2 - 1)).toFixed(1)),
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precipitation: currentPrecip > 0 ? parseFloat((currentPrecip * Math.random()).toFixed(1)) : 0
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});
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}
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const mergedData = [...existingData, ...recordsToGenerate].sort((a, b) => {
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return new Date(a.timestamp).getTime() - new Date(b.timestamp).getTime();
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});
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const finalData = mergedData.slice(-1500);
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fs.mkdirSync(path.dirname(DATA_FILE), { recursive: true });
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fs.writeFileSync(DATA_FILE, JSON.stringify(finalData, null, 2), 'utf-8');
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console.log(`[${internalId}] Generated/Updated international data. Total: ${finalData.length}`);
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}
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async function runScraper() {
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console.log(`Starting bulk scraper for ${lakesConfig.length} lakes...`);
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for (const lake of lakesConfig) {
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// ID format: VLL1|1 -> internalId=VLL1, oid=1
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const [internalId, oid] = lake.id.split('|');
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await scrapeLake(lake.id, oid, internalId);
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if (lake.country && lake.country !== 'CZ') {
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await getOrSimulateInternationalLake(lake);
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} else {
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await scrapeLake(lake.id, oid, internalId);
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}
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// Add small delay to not hammer the server
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await new Promise(resolve => setTimeout(resolve, 500));
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}
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