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fastapi-mqtt is extension for MQTT protocol

Project description

fastapi-mqtt

MQTT is a lightweight publish/subscribe messaging protocol designed for M2M (machine to machine) telemetry in low bandwidth environments. Fastapi-mqtt is the client for working with MQTT.

For more information about MQTT, please refer to here: MQTT

Fastapi-mqtt wraps around gmqtt module. Gmqtt Python async client for MQTT client implementation. Module has support of MQTT version 5.0 protocol

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Documentation: FastApi-MQTT

The key feature are:

MQTT specification avaliable with help decarator methods using callbacks:

  • on_connect()

  • on_disconnect()

  • on_subscribe()

  • on_message()

  • subscribe(topic)

  • MQTT Settings available with pydantic class

  • Authentication to broker with credentials

  • unsubscribe certain topics and publish to certain topics

🔨 Installation

pip install fastapi-mqtt

🕹 Guide

from fastapi import FastAPI

from fastapi_mqtt import FastMQTT, MQTTConfig

app = FastAPI()

mqtt_config = MQTTConfig()
mqtt = FastMQTT(config=mqtt_config)
mqtt.init_app(app)


@mqtt.on_connect()
def connect(client, flags, rc, properties):
    mqtt.client.subscribe("/mqtt")  # subscribing mqtt topic
    print("Connected: ", client, flags, rc, properties)

@mqtt.on_message()
async def message(client, topic, payload, qos, properties):
    print("Received message: ", topic, payload.decode(), qos, properties)

@mqtt.subscribe("my/mqtt/topic/#")
async def message_to_topic(client, topic, payload, qos, properties):
    print("Received message to specific topic: ", topic, payload.decode(), qos, properties)

@mqtt.subscribe("my/mqtt/topic/#", qos=2)
async def message_to_topic_with_high_qos(client, topic, payload, qos, properties):
    print(
        "Received message to specific topic and QoS=2: ", topic, payload.decode(), qos, properties
    )


@mqtt.on_disconnect()
def disconnect(client, packet, exc=None):
    print("Disconnected")

@mqtt.on_subscribe()
def subscribe(client, mid, qos, properties):
    print("subscribed", client, mid, qos, properties)

Publish method:

async def func():
    mqtt.publish("/mqtt", "Hello from Fastapi")  # publishing mqtt topic
    return {"result": True, "message": "Published"}

Subscribe method:

@mqtt.on_connect()
def connect(client, flags, rc, properties):
    mqtt.client.subscribe("/mqtt")  # subscribing mqtt topic
    print("Connected: ", client, flags, rc, properties)

Changing connection params

mqtt_config = MQTTConfig(
    host="mqtt.mosquito.org",
    port=1883,
    keepalive=60,
    username="username",
    password="strong_password",
)

mqtt = FastMQTT(config=mqtt_config)

✅ Testing

  • Clone the repository and install it with poetry.
  • Run tests with pytest, using an external MQTT broker to connect (defaults to 'test.mosquitto.org').
  • Explore the fastapi app examples and run them with uvicorn
# (opc) Run a local mosquitto MQTT broker with docker
docker run -d --name mosquitto -p 9001:9001 -p 1883:1883 eclipse-mosquitto:1.6.15
# Set host for test broker when running pytest
TEST_BROKER_HOST=localhost pytest
# Run the example apps against local broker, with uvicorn
TEST_BROKER_HOST=localhost uvicorn examples.app:app --port 8000 --reload
TEST_BROKER_HOST=localhost uvicorn examples.ws_app.app:application --port 8000 --reload

Contributing

Fell free to open issue and send pull request.

Thanks To Contributors. Contributions of any kind are welcome!

Before you start please read CONTRIBUTING

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