First commit
This commit is contained in:
72
.gitignore
vendored
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72
.gitignore
vendored
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@@ -0,0 +1,72 @@
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# Virtual Environment
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.venv/
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venv/
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ENV/
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env/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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.DS_Store
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# Environment variables
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.env
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.env.local
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.env.*.local
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# Database
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wetterdaten.db
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*.db
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# Logs
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*.log
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logs/
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# Cache
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.pytest_cache/
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.coverage
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htmlcov/
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# Temporary files
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*.tmp
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*.bak
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*.swp
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# Flask
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instance/
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.webassets-cache
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templates/index.html
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# macOS
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.DS_Store
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.AppleDouble
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.LSOverride
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._*
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.Spotlight-V100
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.Trashes
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90
docs/README.md
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90
docs/README.md
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@@ -0,0 +1,90 @@
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# Wetterstation - MQTT zu Web Dashboard
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## Installation
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1. **Python-Pakete installieren:**
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```bash
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pip install -r requirements.txt
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```
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## Konfiguration
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Öffne `wetterstation.py` und passe folgende Zeilen an:
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```python
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MQTT_TOPIC = "wetter/daten" # Dein MQTT Topic
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MQTT_USER = "username" # Dein MQTT Benutzername
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MQTT_PASSWORD = "password" # Dein MQTT Passwort
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```
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## Verwendung
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1. **Programm starten:**
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```bash
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python wetterstation.py
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```
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2. **Browser öffnen:**
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- Öffne http://localhost:5000
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- Du siehst das Dashboard mit allen Grafiken
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## Funktionen
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### MQTT Datenempfang
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- Verbindet sich automatisch mit rexfue.de
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- Empfängt Wetterdaten im JSON-Format
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- Speichert alle Daten in SQLite Datenbank
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### Web-Dashboard
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- **6 Grafiken:**
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- Temperatur über Zeit
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- Luftfeuchtigkeit über Zeit
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- Luftdruck über Zeit
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- Regenmenge pro Stunde (Balkendiagramm)
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- Windgeschwindigkeit + Böen
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- Windrichtung (Polarplot)
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- **Zwei Ansichten:**
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- Tag: Letzte 24 Stunden
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- Woche: Letzte 7 Tage
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- Umschaltbar per Tab
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- **Auto-Refresh:** Aktualisiert sich alle 5 Minuten automatisch
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## Datenbank
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Die Wetterdaten werden in `wetterdaten.db` gespeichert (SQLite).
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## Erwartetes MQTT Datenformat
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```json
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{
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"datetime": "2026-01-24 16:05:00",
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"pressure": 1002.0,
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"wind_gust": 5.0,
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"wind_speed": 3.0,
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"wind_dir": 45.0,
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"rain_rate": 0.0,
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"rain": 0.0,
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"humidity": 80,
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"temperature": 0.7
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}
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```
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## Problemlösung
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**MQTT verbindet nicht:**
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- Prüfe MQTT_USER und MQTT_PASSWORD
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- Prüfe MQTT_TOPIC
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- Stelle sicher, dass rexfue.de erreichbar ist
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**Keine Daten im Dashboard:**
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- Warte bis erste MQTT Nachricht empfangen wurde
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- Prüfe die Konsole auf Fehlermeldungen
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- Überprüfe ob `wetterdaten.db` erstellt wurde
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**Port 5000 bereits belegt:**
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Ändere in `wetterstation.py` die letzte Zeile:
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```python
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app.run(host='0.0.0.0', port=8080, debug=False)
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```
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2
requirements.txt
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2
requirements.txt
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@@ -0,0 +1,2 @@
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flask==3.0.0
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paho-mqtt==1.6.1
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571
wetterstation.py
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571
wetterstation.py
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@@ -0,0 +1,571 @@
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#!/usr/bin/env python3
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"""
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Wetterstation - MQTT Datenempfang und Web-Visualisierung
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"""
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import sqlite3
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import json
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import threading
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from datetime import datetime, timedelta
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from flask import Flask, render_template, jsonify
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import paho.mqtt.client as mqtt
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# Konfiguration
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MQTT_HOST = "rexfue.de"
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MQTT_PORT = 1883
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MQTT_TOPIC = "vantage/live" # Bitte anpassen!
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MQTT_USER = "stzuhr" # Bitte anpassen!
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MQTT_PASSWORD = "74chQCYb" # Bitte anpassen!
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DB_FILE = "wetterdaten.db"
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app = Flask(__name__)
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class WetterDB:
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"""Klasse für Datenbankoperationen"""
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def __init__(self, db_file):
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self.db_file = db_file
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self.init_db()
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def init_db(self):
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"""Datenbank initialisieren"""
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conn = sqlite3.connect(self.db_file)
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cursor = conn.cursor()
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS wetterdaten (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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datetime TEXT NOT NULL,
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pressure REAL,
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wind_gust REAL,
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wind_speed REAL,
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wind_dir REAL,
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rain_rate REAL,
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rain REAL,
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humidity INTEGER,
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temperature REAL
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)
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''')
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cursor.execute('''
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CREATE INDEX IF NOT EXISTS idx_datetime ON wetterdaten(datetime)
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''')
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conn.commit()
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conn.close()
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def save_data(self, data):
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"""Wetterdaten speichern"""
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conn = sqlite3.connect(self.db_file)
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cursor = conn.cursor()
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cursor.execute('''
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INSERT INTO wetterdaten
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(datetime, pressure, wind_gust, wind_speed, wind_dir,
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rain_rate, rain, humidity, temperature)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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data['datetime'],
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data.get('pressure'),
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data.get('wind_gust'),
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data.get('wind_speed'),
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data.get('wind_dir'),
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data.get('rain_rate'),
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data.get('rain'),
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data.get('humidity'),
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data.get('temperature')
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))
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conn.commit()
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conn.close()
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print(f"Daten gespeichert: {data['datetime']}")
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def get_data(self, hours=24):
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"""Daten der letzten X Stunden abrufen"""
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conn = sqlite3.connect(self.db_file)
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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time_threshold = (datetime.now() - timedelta(hours=hours)).strftime('%Y-%m-%d %H:%M:%S')
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cursor.execute('''
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SELECT * FROM wetterdaten
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WHERE datetime >= ?
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ORDER BY datetime ASC
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''', (time_threshold,))
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rows = cursor.fetchall()
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conn.close()
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return [dict(row) for row in rows]
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def get_hourly_rain(self, hours=24):
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"""Regenmenge pro Stunde berechnen"""
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conn = sqlite3.connect(self.db_file)
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cursor = conn.cursor()
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time_threshold = (datetime.now() - timedelta(hours=hours)).strftime('%Y-%m-%d %H:%M:%S')
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cursor.execute('''
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SELECT
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strftime('%Y-%m-%d %H:00:00', datetime) as hour,
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SUM(rain_rate) as total_rain
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FROM wetterdaten
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WHERE datetime >= ?
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GROUP BY hour
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ORDER BY hour ASC
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''', (time_threshold,))
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rows = cursor.fetchall()
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conn.close()
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return [{'hour': row[0], 'rain': row[1] or 0} for row in rows]
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# Globale Datenbankinstanz
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db = WetterDB(DB_FILE)
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class MQTTClient:
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"""MQTT Client für Datenempfang"""
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def __init__(self):
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self.client = mqtt.Client()
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self.client.username_pw_set(MQTT_USER, MQTT_PASSWORD)
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# Stabilere Verbindungen bei Abbrüchen
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try:
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self.client.reconnect_delay_set(min_delay=1, max_delay=120)
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except Exception:
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pass
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# Optionale Protokollierung (hilfreich beim Debuggen)
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try:
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self.client.enable_logger()
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except Exception:
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pass
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self.client.on_connect = self.on_connect
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self.client.on_message = self.on_message
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@staticmethod
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def _sanitize_data(payload: dict) -> dict:
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"""Payload robust in erwartetes Format wandeln.
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- Fehlende `datetime` wird mit aktueller Zeit ergänzt
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- Felder in richtige Typen konvertieren
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"""
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def to_float(x):
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try:
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return float(x) if x is not None else None
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except Exception:
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return None
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def to_int(x):
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try:
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return int(x) if x is not None else None
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except Exception:
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return None
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# Zeitstempel: wenn vorhanden, in akzeptables Format bringen, sonst jetzt
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dt = payload.get('datetime')
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if isinstance(dt, (int, float)):
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# Epoch -> ISO
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dt = datetime.fromtimestamp(dt).strftime('%Y-%m-%d %H:%M:%S')
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elif isinstance(dt, str):
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# Versuchen, ISO-Varianten in 'YYYY-MM-DD HH:MM:SS' zu überführen
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# Entferne ggf. 'T' oder 'Z'
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dt_clean = dt.replace('T', ' ').replace('Z', '').strip()
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# Falls Millisekunden enthalten, abschneiden
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if '.' in dt_clean:
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dt_clean = dt_clean.split('.')[0]
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# Bei zu kurzem String: fallback auf jetzt
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if len(dt_clean) < 16:
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dt = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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else:
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dt = dt_clean
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else:
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dt = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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return {
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'datetime': dt,
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'pressure': to_float(payload.get('pressure')),
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'wind_gust': to_float(payload.get('wind_gust')),
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'wind_speed': to_float(payload.get('wind_speed')),
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'wind_dir': to_float(payload.get('wind_dir')),
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'rain_rate': to_float(payload.get('rain_rate')),
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'rain': to_float(payload.get('rain')),
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'humidity': to_int(payload.get('humidity')),
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'temperature': to_float(payload.get('temperature')),
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}
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def on_connect(self, client, userdata, flags, rc):
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"""Callback bei Verbindung"""
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if rc == 0:
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print(f"Mit MQTT Broker verbunden: {MQTT_HOST}")
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client.subscribe(MQTT_TOPIC)
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print(f"Topic abonniert: {MQTT_TOPIC}")
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else:
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print(f"Verbindungsfehler: {rc}")
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def on_message(self, client, userdata, msg):
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"""Callback bei empfangener Nachricht"""
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try:
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raw = json.loads(msg.payload.decode())
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data = self._sanitize_data(raw)
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print(f"Empfangen und gespeichert: {data}")
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db.save_data(data)
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except Exception as e:
|
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print(f"Fehler beim Verarbeiten der Nachricht: {e}")
|
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|
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def start(self):
|
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"""MQTT Client starten"""
|
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try:
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self.client.connect(MQTT_HOST, MQTT_PORT, 60)
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self.client.loop_start()
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print("MQTT Client gestartet")
|
||||
except Exception as e:
|
||||
print(f"MQTT Verbindungsfehler: {e}")
|
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|
||||
|
||||
# Flask Routes
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@app.route('/')
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||||
def index():
|
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"""Hauptseite"""
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||||
return render_template('index.html')
|
||||
|
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@app.route('/api/data/<period>')
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def get_data(period):
|
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"""API Endpoint für Wetterdaten"""
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hours = 24 if period == 'day' else 168 # 168h = 1 Woche
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data = db.get_data(hours)
|
||||
rain_data = db.get_hourly_rain(hours)
|
||||
|
||||
return jsonify({
|
||||
'data': data,
|
||||
'rain_hourly': rain_data
|
||||
})
|
||||
|
||||
|
||||
def create_html_template():
|
||||
"""HTML Template erstellen"""
|
||||
import os
|
||||
os.makedirs('templates', exist_ok=True)
|
||||
|
||||
html_content = '''<!DOCTYPE html>
|
||||
<html lang="de">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Wetterstation</title>
|
||||
<script src="https://cdn.plot.ly/plotly-2.27.0.min.js"></script>
|
||||
<style>
|
||||
* {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
min-height: 100vh;
|
||||
padding: 20px;
|
||||
}
|
||||
|
||||
.container {
|
||||
max-width: 1400px;
|
||||
margin: 0 auto;
|
||||
background: white;
|
||||
border-radius: 20px;
|
||||
padding: 30px;
|
||||
box-shadow: 0 20px 60px rgba(0,0,0,0.3);
|
||||
}
|
||||
|
||||
h1 {
|
||||
text-align: center;
|
||||
color: #333;
|
||||
margin-bottom: 30px;
|
||||
font-size: 2.5em;
|
||||
}
|
||||
|
||||
.tabs {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
gap: 20px;
|
||||
margin-bottom: 30px;
|
||||
}
|
||||
|
||||
.tab {
|
||||
padding: 15px 40px;
|
||||
background: #f0f0f0;
|
||||
border: none;
|
||||
border-radius: 10px;
|
||||
cursor: pointer;
|
||||
font-size: 18px;
|
||||
transition: all 0.3s;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.tab:hover {
|
||||
background: #e0e0e0;
|
||||
transform: translateY(-2px);
|
||||
}
|
||||
|
||||
.tab.active {
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
color: white;
|
||||
}
|
||||
|
||||
.charts-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
gap: 20px;
|
||||
margin-top: 20px;
|
||||
}
|
||||
|
||||
.chart-container {
|
||||
background: #f9f9f9;
|
||||
border-radius: 15px;
|
||||
padding: 20px;
|
||||
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
||||
/* feste Mindesthöhe sorgt für konsistente Layouts */
|
||||
min-height: 420px;
|
||||
}
|
||||
|
||||
/* Stellt sicher, dass Charts nicht breiter als ihre Container werden */
|
||||
#charts { width: 100%; }
|
||||
.chart-container > div { width: 100%; max-width: 100%; }
|
||||
|
||||
.loading {
|
||||
text-align: center;
|
||||
padding: 50px;
|
||||
font-size: 20px;
|
||||
color: #666;
|
||||
}
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
.charts-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<h1>🌤️ Wetterstation Dashboard</h1>
|
||||
|
||||
<div class="tabs">
|
||||
<button class="tab active" onclick="switchPeriod('day')">Tag (24h)</button>
|
||||
<button class="tab" onclick="switchPeriod('week')">Woche (7 Tage)</button>
|
||||
</div>
|
||||
|
||||
<div class="loading" id="loading">Lade Daten...</div>
|
||||
|
||||
<div class="charts-grid" id="charts" style="display: none;">
|
||||
<div class="chart-container">
|
||||
<div id="temp-chart"></div>
|
||||
</div>
|
||||
<div class="chart-container">
|
||||
<div id="humidity-chart"></div>
|
||||
</div>
|
||||
<div class="chart-container">
|
||||
<div id="pressure-chart"></div>
|
||||
</div>
|
||||
<div class="chart-container">
|
||||
<div id="rain-chart"></div>
|
||||
</div>
|
||||
<div class="chart-container">
|
||||
<div id="wind-speed-chart"></div>
|
||||
</div>
|
||||
<div class="chart-container">
|
||||
<div id="wind-dir-chart"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
let currentPeriod = 'day';
|
||||
const DEFAULT_CHART_HEIGHT = 360;
|
||||
const POLAR_CHART_HEIGHT = 420;
|
||||
const plotConfig = { responsive: true, displayModeBar: false };
|
||||
|
||||
function switchPeriod(period) {
|
||||
currentPeriod = period;
|
||||
|
||||
// Tab-Status aktualisieren
|
||||
document.querySelectorAll('.tab').forEach(tab => {
|
||||
tab.classList.remove('active');
|
||||
});
|
||||
event.target.classList.add('active');
|
||||
|
||||
loadData();
|
||||
}
|
||||
|
||||
function loadData() {
|
||||
document.getElementById('loading').style.display = 'block';
|
||||
document.getElementById('charts').style.display = 'none';
|
||||
|
||||
fetch(`/api/data/${currentPeriod}`)
|
||||
.then(response => response.json())
|
||||
.then(data => {
|
||||
renderCharts(data);
|
||||
document.getElementById('loading').style.display = 'none';
|
||||
document.getElementById('charts').style.display = 'grid';
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Fehler beim Laden:', error);
|
||||
document.getElementById('loading').innerHTML = 'Fehler beim Laden der Daten';
|
||||
});
|
||||
}
|
||||
|
||||
function renderCharts(apiData) {
|
||||
const data = apiData.data;
|
||||
const rainData = apiData.rain_hourly;
|
||||
|
||||
const timestamps = data.map(d => d.datetime);
|
||||
|
||||
// Temperatur
|
||||
Plotly.newPlot('temp-chart', [{
|
||||
x: timestamps,
|
||||
y: data.map(d => d.temperature),
|
||||
type: 'scatter',
|
||||
mode: 'lines',
|
||||
name: 'Temperatur',
|
||||
line: {color: '#ff6b6b', width: 3}
|
||||
}], {
|
||||
title: '🌡️ Temperatur (°C)',
|
||||
xaxis: {title: 'Zeit'},
|
||||
yaxis: {title: '°C'},
|
||||
margin: {t: 50, b: 60, l: 60, r: 30, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: DEFAULT_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
|
||||
// Luftfeuchtigkeit
|
||||
Plotly.newPlot('humidity-chart', [{
|
||||
x: timestamps,
|
||||
y: data.map(d => d.humidity),
|
||||
type: 'scatter',
|
||||
mode: 'lines',
|
||||
name: 'Luftfeuchtigkeit',
|
||||
line: {color: '#4ecdc4', width: 3}
|
||||
}], {
|
||||
title: '💧 Luftfeuchtigkeit (%)',
|
||||
xaxis: {title: 'Zeit'},
|
||||
yaxis: {title: '%'},
|
||||
margin: {t: 50, b: 60, l: 60, r: 30, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: DEFAULT_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
|
||||
// Luftdruck
|
||||
Plotly.newPlot('pressure-chart', [{
|
||||
x: timestamps,
|
||||
y: data.map(d => d.pressure),
|
||||
type: 'scatter',
|
||||
mode: 'lines',
|
||||
name: 'Luftdruck',
|
||||
line: {color: '#95e1d3', width: 3}
|
||||
}], {
|
||||
title: '🎈 Luftdruck (hPa)',
|
||||
xaxis: {title: 'Zeit'},
|
||||
yaxis: {title: 'hPa'},
|
||||
margin: {t: 50, b: 60, l: 60, r: 30, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: DEFAULT_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
|
||||
// Regenmenge pro Stunde
|
||||
Plotly.newPlot('rain-chart', [{
|
||||
x: rainData.map(d => d.hour),
|
||||
y: rainData.map(d => d.rain),
|
||||
type: 'bar',
|
||||
name: 'Regen',
|
||||
marker: {color: '#3498db'}
|
||||
}], {
|
||||
title: '🌧️ Regenmenge pro Stunde (mm)',
|
||||
xaxis: {title: 'Zeit'},
|
||||
yaxis: {title: 'mm'},
|
||||
margin: {t: 50, b: 60, l: 60, r: 30, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: DEFAULT_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
|
||||
// Windgeschwindigkeit
|
||||
Plotly.newPlot('wind-speed-chart', [{
|
||||
x: timestamps,
|
||||
y: data.map(d => d.wind_speed),
|
||||
type: 'scatter',
|
||||
mode: 'lines',
|
||||
name: 'Windgeschwindigkeit',
|
||||
line: {color: '#f38181', width: 3}
|
||||
}, {
|
||||
x: timestamps,
|
||||
y: data.map(d => d.wind_gust),
|
||||
type: 'scatter',
|
||||
mode: 'lines',
|
||||
name: 'Böen',
|
||||
line: {color: '#aa96da', width: 2, dash: 'dash'}
|
||||
}], {
|
||||
title: '💨 Windgeschwindigkeit (m/s)',
|
||||
xaxis: {title: 'Zeit'},
|
||||
yaxis: {title: 'm/s'},
|
||||
margin: {t: 50, b: 60, l: 60, r: 30, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: DEFAULT_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
|
||||
// Windrichtung (Polarplot)
|
||||
Plotly.newPlot('wind-dir-chart', [{
|
||||
r: data.map(d => d.wind_speed),
|
||||
theta: data.map(d => d.wind_dir),
|
||||
mode: 'markers',
|
||||
type: 'scatterpolar',
|
||||
marker: {
|
||||
size: 8,
|
||||
color: data.map(d => d.wind_speed),
|
||||
colorscale: 'Viridis',
|
||||
showscale: true,
|
||||
colorbar: {title: 'm/s', orientation: 'h', y: -0.25}
|
||||
}
|
||||
}], {
|
||||
title: '🧭 Windrichtung',
|
||||
polar: {
|
||||
radialaxis: {title: 'Geschwindigkeit (m/s)'},
|
||||
angularaxis: {direction: 'clockwise'}
|
||||
},
|
||||
margin: {t: 50, b: 80, l: 60, r: 60, pad: 0},
|
||||
legend: {orientation: 'h', y: -0.2},
|
||||
height: POLAR_CHART_HEIGHT
|
||||
}, plotConfig);
|
||||
}
|
||||
|
||||
// Initiales Laden
|
||||
loadData();
|
||||
|
||||
// Auto-Refresh alle 5 Minuten
|
||||
setInterval(loadData, 5 * 60 * 1000);
|
||||
</script>
|
||||
</body>
|
||||
</html>'''
|
||||
|
||||
with open('templates/index.html', 'w', encoding='utf-8') as f:
|
||||
f.write(html_content)
|
||||
|
||||
print("HTML Template erstellt: templates/index.html")
|
||||
|
||||
|
||||
def main():
|
||||
"""Hauptprogramm"""
|
||||
print("Wetterstation wird gestartet...")
|
||||
|
||||
# HTML Template erstellen
|
||||
create_html_template()
|
||||
|
||||
# MQTT Client starten
|
||||
mqtt_client = MQTTClient()
|
||||
mqtt_client.start()
|
||||
|
||||
# Flask Server starten
|
||||
print("\nWeb-Interface verfügbar unter: http://localhost:5003")
|
||||
print("Drücke CTRL+C zum Beenden\n")
|
||||
app.run(host='0.0.0.0', port=5003, debug=False)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user