wetter-server/wetter.js

/**
 * wetter.js – Hauptprogramm
 *
 * Ablauf beim Start:
 *   1. SQLite-Datenbank öffnen (wetter.db)
 *   2. Letzten archivierten Zeitstempel lesen → Archiv nachladen
 *   3. Archivdaten in DB schreiben
 *   4. LOOP-Schleife starten: alle 30 s Echtzeit-Daten holen & in DB schreiben
 */

import "dotenv/config";
import path    from "path";
import { fileURLToPath } from "url";

import { openDb, getLatestTs, insertRecords, insertRecord } from "./db.js";
import { readArchiveSince, connectStation, fetchLoopData }  from "./davis.js";

const __dirname = path.dirname(fileURLToPath(import.meta.url));
const DB_PATH          = process.env.DB_PATH ?? path.join(__dirname, "wetter.db");
const LOOP_INTERVAL_MS = Number(process.env.LOOP_INTERVAL_MS ?? 30_000);
const DB_INTERVAL_MS   = 5 * 60 * 1000;   // alle 5 min in DB schreiben
const POST_URL         = process.env.POST_URL ?? null;

// ── Hilfsfunktionen ────────────────────────────────────────────────────────

const fmt24h = (d) => d.toLocaleTimeString("de-DE", { hour12: false });
const fmtDateTime = (d) => d.toLocaleString("de-DE", { hour12: false });
function log(msg)  { console.log (`[${fmt24h(new Date())}] ${msg}`); }
function warn(msg) { console.warn(`[${fmt24h(new Date())}] WARN  ${msg}`); }
function err(msg)  { console.error(`[${fmt24h(new Date())}] ERROR ${msg}`); }

// ── 5-Minuten-Aggregation ──────────────────────────────────────────────────

function aggregateBuffer(buf) {
    const avg = (key) => {
        const vals = buf.map(r => r[key]).filter(v => v !== null && v !== undefined);
        if (!vals.length) return null;
        return +( vals.reduce((a, b) => a + b, 0) / vals.length ).toFixed(1);
    };
    const peak = (key) => {
        const vals = buf.map(r => r[key]).filter(v => v !== null && v !== undefined);
        return vals.length ? +Math.max(...vals).toFixed(1) : null;
    };
    const last = (key) => {
        for (let i = buf.length - 1; i >= 0; i--)
            if (buf[i][key] !== null && buf[i][key] !== undefined) return buf[i][key];
        return null;
    };
    return {
        time:     buf[buf.length - 1].time,
        tempOut:  avg('tempOut'),
        tempIn:   avg('tempIn'),
        humOut:   avg('humOut'),
        humIn:    avg('humIn'),
        windAvg:  avg('windAvg'),
        windGust: peak('windGust'),   // Spitzenwert der Periode
        windDir:  avg('windDir'),
        pressure: avg('pressure'),
        barTrend: last('barTrend'),
        forecast: last('forecast'),
        rain:     last('rain'),
        rainRate: avg('rainRate'),
    };
}

// ── Archiv nachladen ───────────────────────────────────────────────────────

async function catchUpArchive(db) {
    const latestTs = getLatestTs(db);
    const since    = latestTs
        ? new Date(latestTs * 1000)                         // ab letztem DB-Eintrag
        : new Date(Date.now() - 24 * 60 * 60 * 1000);      // Fallback: letzte 24 h

    log(`Lade Archiv ab ${fmtDateTime(since)} ...`);

    let lastPct = -1;
    const records = await readArchiveSince(since, (cur, total) => {
        const pct = Math.floor(cur / total * 100);
        if (pct !== lastPct) {
            process.stdout.write(`\r  Archiv: ${pct}% (Seite ${cur}/${total})`);
            lastPct = pct;
        }
    });
    process.stdout.write("\r\x1b[K"); // Fortschrittszeile löschen

    if (records.length === 0) {
        log("Archiv: keine neuen Datensätze.");
        return;
    }

    const inserted = insertRecords(db, records, "archive");
    log(`Archiv: ${inserted} neue Datensätze gespeichert (${records.length} empfangen).`);

    if (POST_URL) {
        for (const r of records) {
            fetch(POST_URL, {
                method:  "POST",
                headers: { "Content-Type": "application/json" },
                body:    JSON.stringify(r),
            }).catch(e => warn("Archiv-POST fehlgeschlagen: " + e.message));
        }
    }
}

// ── LOOP-Schleife ──────────────────────────────────────────────────────────

async function runLoop(db) {
    let station     = null;
    const buffer    = [];
    let lastDbWrite = Date.now();

    async function connect() {
        station = await connectStation();
        log("Verbunden mit Wetterstation.");
    }

    async function tick() {
        try {
            const data = await fetchLoopData(station);
            buffer.push(data);

            if (POST_URL) {
                fetch(POST_URL, {
                    method:  "POST",
                    headers: { "Content-Type": "application/json" },
                    body:    JSON.stringify(data),
                }).catch(e => warn("POST fehlgeschlagen: " + e.message));
            }

            const now = Date.now();
            if (now - lastDbWrite >= DB_INTERVAL_MS) {
                const n   = buffer.length;
                const agg = aggregateBuffer(buffer);
                buffer.length = 0;
                lastDbWrite   = now;
                insertRecord(db, agg, "loop");
                log(`DB: 5-min-Mittel gespeichert (${n} Messwerte)`);
            }

            log(
                `Außen: ${data.tempOut?.toFixed(1)}°C  ` +
                `InnenT: ${data.tempIn?.toFixed(1)}°C  ` +
                `Feuchte: ${data.humOut}%  ` +
                `InnenH: ${data.humIn}%  ` +
                `Wind: ${data.windAvg} km/h  ` +
                `WindRichtung: ${data.windDir}°  ` +
                `Druck: ${data.pressure} hPa  ` +
                `Trend: ${data.barTrend ?? "n/a"}  ` +
                `Forecast: ${data.forecast}`
            );
        } catch (e) {
            warn("LOOP-Fehler: " + e.message + " – Verbindung wird neu aufgebaut.");
            try { await station?.disconnect(); } catch {}
            station = null;
            try { await connect(); } catch (ce) { err("Reconnect fehlgeschlagen: " + ce.message); }
        }
        setTimeout(tick, LOOP_INTERVAL_MS);
    }

    await connect();
    tick();
}

// ── Hauptprogramm ──────────────────────────────────────────────────────────

const db = openDb(DB_PATH);
log(`Datenbank: ${DB_PATH}`);

await catchUpArchive(db);
await runLoop(db);