Skip to content

canionlabs/mqtt-sentinel

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MQTT Sentinel

Build Status

Integration between MQTT and services using custom rules. Based on the awesome project mqttwarn.

Installation

pip install mqtt-sentinel

Getting started

1. CLI

# Create a rule -t topic | -o operator | -e equated
$ msentinel add -c your-conf.ini -t "room/temperature" -o ">=" -e "30"

# Run the sentinel
$ msentinel run -c your-conf.ini

# More info
$ msentinel --help

.ini structure

; your-conf.ini

[settings:mqtt]
host      = localhost
port      = 1883
keepalive = 60

;  Optional
;  [settings:rules]
; db_url = sqlite://sentinel.db

[output:mqtt] ; Output Service
host      = localhost
port      = 1883
keepalive = 60
topic     = device123/broadcast/alarms

1.1 Output Services

2. Create applications using the library

# app.py
from sentinel import Sentinel
from sentinel.rules import Rule
from sentinel.output import OutMQTT

sentinel = Sentinel()
output = OutMQTT(host='localhost', port=1883, topic='app/broadcast/alert')

sentinel.set_db()  # Use the default SQLite3 database (sentinel.db)
sentinel.set_output(output)

rule = Rule(
    topic='device123/room/temperature',
    operator=">=",
    equated="31"
)
# If you want create a simple data relay, use:
# rule = Rule(topic='device123/room/temperature')

sentinel.add_rule(rule)
sentinel.start()
$ python app.py
 Starting my watch with 1 workers
 ...

About

Integration between MQTT and custom notification services.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages