MQTT Werkend gekregen
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mqtt/__pycache__/db_connect.cpython-311.pyc
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mqtt/__pycache__/db_connect.cpython-311.pyc
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mqtt/db_connect.py
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mqtt/db_connect.py
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import mysql.connector
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from mysql.connector import Error
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def database_connect():
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try:
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connection = mysql.connector.connect(
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host="localhost",
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user="root",
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password="",
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database="goodgarden"
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)
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if connection.is_connected():
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return connection
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except Error as e:
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print(f"Connection NIET gelukt! ${e}")
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return None
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mqtt/publisher.py
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mqtt/publisher.py
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import requests
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import time
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import paho.mqtt.client as mqtt
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from db_connect import database_connect
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mqtt_broker = "localhost"
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mqtt_port = 1883
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publish_interval = 300 # Secondes om een aanvraag te doen
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api_endpoints = [
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{"url": "https://garden.inajar.nl/api/devices/", "topic": "goodgarden/devices"},
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{"url": "https://garden.inajar.nl/api/relative_humidity_events/", "topic": "goodgarden/relative_humidity"},
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{"url": "https://garden.inajar.nl/api/battery_voltage_events/", "topic": "goodgarden/battery_voltage"},
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{"url": "https://garden.inajar.nl/api/soil_electric_conductivity_events/", "topic": "goodgarden/soil_electric_conductivity"},
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{"url": "https://garden.inajar.nl/api/soil_relative_permittivity_events/", "topic": "goodgarden/soil_electric_permittivity"},
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{"url": "https://garden.inajar.nl/api/soil_temperature_events/", "topic": "goodgarden/soil_temperature"},
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{"url": "https://garden.inajar.nl/api/par_events/", "topic": "goodgarden/par_events"}
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]
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client = mqtt.Client()
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client.connect(mqtt_broker, mqtt_port, 60)
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client.loop_start()
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def publish_to_mqtt(topic, data):
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"""
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Publiceer de opgehaalde data naar een MQTT-topic.
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"""
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client.publish(topic, str(data))
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print(f"Data published to MQTT topic {topic}.")
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def fetch_and_publish_data():
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"""
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Haal data op van alle endpoints en publiceer naar MQTT.
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"""
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for endpoint in api_endpoints:
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url = endpoint["url"]
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mqtt_topic = endpoint["topic"]
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access_token = "33bb3b42452306c58ecedc3c86cfae28ba22329c"
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try:
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headers = {
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"Authorization": f"Token {access_token}"
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}
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response = requests.get(url, headers=headers)
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response.raise_for_status()
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data = response.json()
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print(f"Data from {url}:")
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print(data)
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# Publiceer naar MQTT voordat de data wordt geladen in de database
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publish_to_mqtt(mqtt_topic, data)
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# Hier kan je de data laden naar je database
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load_data(data)
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except requests.exceptions.RequestException as e:
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print(f"Error fetching data from {url}: {e}")
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def load_data(data):
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"""
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Implementeer de database logica hier.
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Deze functie moet mogelijk worden aangepast om te werken met verschillende datastructuren van verschillende endpoints.
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"""
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print("Data processing and loading logic goes here.")
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if __name__ == "__main__":
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while True:
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fetch_and_publish_data()
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print("Waiting for the next retrieval action...")
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time.sleep(publish_interval)
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client.loop_stop()
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34
mqtt/subscribe.py
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mqtt/subscribe.py
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import paho.mqtt.client as mqtt
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mqtt_broker = "localhost"
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mqtt_port = 1883
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# Lijst waarop je je wil subscriben
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mqtt_topics = ["goodgarden/devices", "goodgarden/relative_humidity"]
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# Callback functie voor wanneer de client verbindt met de broker
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def on_connect(client, userdata, flags, rc):
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print("Connected with result code " + str(rc))
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# Abonneer op alle topics in de mqtt_topics lijst
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for topic in mqtt_topics:
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client.subscribe(topic)
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print(f"Subscribed to {topic}")
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# Callback functie voor wanneer een bericht is ontvangen van de server
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def on_message(client, userdata, msg):
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# Decodeer de payload van bytes naar string
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message = msg.payload.decode()
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print(f"Message received on topic {msg.topic}: {message}")
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# Hier kun je code toevoegen om iets te doen met het ontvangen bericht
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# Bijvoorbeeld: de data opslaan, een actie uitvoeren, etc.
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# Maak de MQTT Client aan
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client = mqtt.Client()
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client.on_connect = on_connect
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client.on_message = on_message
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# Verbind met de broker
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client.connect(mqtt_broker, mqtt_port, 60)
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# Start loop
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client.loop_forever()
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