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@@ -131,9 +131,16 @@ module.exports = {
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// Publicly list views
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app.get('/api/views', (req, res) => {
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try {
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const stmt = db.prepare('SELECT id, name, created_at FROM views ORDER BY name');
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const stmt = db.prepare('SELECT * FROM views ORDER BY name');
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const rows = stmt.all();
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res.json(rows);
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const views = rows.map(row => {
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try {
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return { ...row, config: JSON.parse(row.config) };
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} catch (e) {
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return row;
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}
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});
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res.json(views);
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} catch (err) {
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res.status(500).json({ error: err.message });
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}
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@@ -213,29 +220,33 @@ module.exports = {
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app.get('/api/readings', (req, res) => {
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try {
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if (!db) throw new Error('Database not connected');
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const { since } = req.query;
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const { since, until } = req.query;
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const startTime = since || new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString();
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const endTime = until || new Date().toISOString();
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let sql = 'SELECT * FROM sensor_events WHERE timestamp > ? ';
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const params = [since || new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString()];
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// 1. Fetch main data window
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let sql = 'SELECT * FROM sensor_events WHERE timestamp > ? AND timestamp <= ? ';
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const params = [startTime, endTime];
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// Helper for filtering could be added here if needed,
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// but fetching last 24h of *all* data might not be too huge if not too many sensors.
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// However, optimization: if query params `channels` provided as "device:channel,device2:channel2"
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const requestedChannels = []; // [{device, channel}]
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if (req.query.selection) {
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// selection format: "device:channel,device:channel"
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const selections = req.query.selection.split(',');
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if (selections.length > 0) {
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const placeholders = selections.map(() => '(device = ? AND channel = ?)').join(' OR ');
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sql += `AND (${placeholders}) `;
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const placeholders = [];
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selections.forEach(s => {
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const lastColonIndex = s.lastIndexOf(':');
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if (lastColonIndex !== -1) {
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const d = s.substring(0, lastColonIndex);
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const c = s.substring(lastColonIndex + 1);
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placeholders.push('(device = ? AND channel = ?)');
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params.push(d, c);
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requestedChannels.push({ device: d, channel: c });
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}
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});
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if (placeholders.length > 0) {
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sql += `AND (${placeholders.join(' OR ')}) `;
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}
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}
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}
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@@ -243,7 +254,47 @@ module.exports = {
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const stmt = db.prepare(sql);
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const rows = stmt.all(...params);
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res.json(rows);
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// 2. Backfill: Ensure we have a starting point for each channel
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// For each requested channel, check if we have data at/near start.
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// If the first point for a channel is > startTime, we should try to find the previous value.
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// We check for the value that started before (or at) startTime AND ended after (or at) startTime (or hasn't ended).
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const backfillRows = [];
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// Find the record that started most recently before startTime BUT was still valid at startTime
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const backfillStmt = db.prepare(`
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SELECT * FROM sensor_events
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WHERE device = ? AND channel = ?
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AND timestamp <= ?
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AND (until >= ? OR until IS NULL)
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ORDER BY timestamp DESC LIMIT 1
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`);
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requestedChannels.forEach(ch => {
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const prev = backfillStmt.get(ch.device, ch.channel, startTime, startTime);
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if (prev) {
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// We found a point that covers the startTime.
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backfillRows.push(prev);
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}
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});
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// Combine and sort
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const allRows = [...backfillRows, ...rows];
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// Transform to Compact Dictionary Format
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// { "device:channel": [ [timestamp, value, until], ... ] }
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const result = {};
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allRows.forEach(row => {
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const key = `${row.device}:${row.channel}`;
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if (!result[key]) result[key] = [];
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const pt = [row.timestamp, row.value];
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if (row.until) pt.push(row.until);
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result[key].push(pt);
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});
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res.json(result);
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} catch (err) {
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console.error(err);
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res.status(500).json({ error: err.message });
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