fastapi-mqtt 2.2.0

fastapi-mqtt is extension for MQTT protocol

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

---

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 contextlib import asynccontextmanager
from typing import Any

from fastapi import FastAPI
from gmqtt import Client as MQTTClient

from fastapi_mqtt import FastMQTT, MQTTConfig

mqtt_config = MQTTConfig()
fast_mqtt = FastMQTT(config=mqtt_config)


@asynccontextmanager
async def _lifespan(_app: FastAPI):
    await fast_mqtt.mqtt_startup()
    yield
    await fast_mqtt.mqtt_shutdown()


app = FastAPI(lifespan=_lifespan)


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

@fast_mqtt.subscribe("mqtt/+/temperature", "mqtt/+/humidity", qos=1)
async def home_message(client: MQTTClient, topic: str, payload: bytes, qos: int, properties: Any):
    print("temperature/humidity: ", topic, payload.decode(), qos, properties)

@fast_mqtt.on_message()
async def message(client: MQTTClient, topic: str, payload: bytes, qos: int, properties: Any):
    print("Received message: ", topic, payload.decode(), qos, properties)

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

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

@fast_mqtt.on_subscribe()
def subscribe(client: MQTTClient, mid: int, qos: int, properties: Any):
    print("subscribed", client, mid, qos, properties)

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

Publish method:

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

Subscribe method:

@fast_mqtt.on_connect()
def connect(client, flags, rc, properties):
    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",
)
fast_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