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Push gateway for processing metrics with automation and states.

Project description


  • a gateway for processing metrics with automation and states
  • acceptor for sensors, batch jobs or messages
  • with the ability to set actuators
  • compatible with Prometheus for metric alerting, collecting and data visualization


laporte schema


  • can evaluate, recalculate or correct metric
  • calculate new metric or state from other metrics
  • automation using a true algorithmization + data structures (python expression code)
  • can set TTL for metrics (obsolete metric disappears when time is over)
  • communicates via:
    • RESTful API
    • realtime, bidirectionally using Socket.IO
    • exporting data as Prometheus metrics
    • live www status page
  • optional bridges (extensions):


To install Laporte from PyPI:

pip install laporte

Or using container image from Docker Hub:

docker pull vinklat/laporte

Quick HOWTO:

Example: push gateway for weather sensor

  • manually simulate a weather sensor and send temperature and relative humidity data to this gateway using REST API
  • in this example the temperature will be corrected (slope +1% and shift + 0.5). Can be used in case of calibrate sensor, unit conversion, ...
  • other two new metrics will be calculated (dew point temperature and absolute humidity)
  • in the case of an inactive sensor, the data expires in 10 minutes

a) run the docker image

docker run -p 9128:9128 vinklat/laporte -c conf/example_weatherstation.yml

(the content of this built-in config file can be seen here: example_weatherstation.yml)

b) send metrics from sensor via REST API

Try sending data several times using curl:

curl http://localhost:9128/api/metrics/weather1 -d temp_celsius=37.5 -d hum_ratio=0.8 -X PUT

c) watch status

...more info on the wiki

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