Usage

1. Create a InfluxDbPusher object

2. Call it to push samples

3. InfluxDbPusher will try to do intelligent aggregation of samples in the background to minimise the number of HTTP request to the InfluxDb server.

Example:

import asyncio
import logging
from influxdbpusher import InfluxDbPusher


async def test():
    logging.basicConfig(level=logging.DEBUG)
    influx = InfluxDbPusher("http://influxdb:8086", "playground")
    while True:
        for dummy in range(10):
            await asyncio.sleep(0.02)
            influx("test", dummy, {"foo": "bar"})
            influx("measurement1",
                   {"fieldname1": 'hello "world"', "value": 2.0},
                   {"foo": "bar"})
        await asyncio.sleep(5)
    await influx.close()


if __name__ == '__main__':
    asyncio.get_event_loop().run_until_complete(test())

Installation

pip install influxdbpusher

Compatibility

Licence

MIT License

Copyright (c) 2017, Gambit Research

Authors

influxdbpusher was written by Gustavo Carneiro.