Skip to main content

This is my custom aioinfluxdb client

Project description

DM-aioinfluxdb

Urls

Usage

Write

from dm_aioinfluxdb import DMAioInfluxDBClient
import asyncio


async def main():
    # create client
    influxdb_client = DMAioInfluxDBClient("localhost", 8086, "org", "token")

    # create influxdb points
    point1 = influxdb_client.create_point("example-measurement", {"value": 1.5}, {"tag1": "tag1-value"})
    # or
    point2 = DMAioInfluxDBClient.create_point("example-measurement", {"value": 0}, {"tag2": "tag2-value"})

    # write one or more points
    await influxdb_client.write("example-bucket", point1)
    # write line protocol record
    record = "example-measurement,tag1=tag1-value, value=1.5 1713162515"
    await influxdb_client.write("example-bucket", record)

    # type: bool
    status = await influxdb_client.write("example-bucket", [point1, point2])

    # return error message in case of error
    # type: (bool, str)
    status, err_msg = await influxdb_client.write("example-bucket", point1, return_errors=True)

    # without error logs in case of errors
    await influxdb_client.write("example-bucket", point1, err_logging=False)

if __name__ == "__main__":
    asyncio.run(main())

Query

from dm_aioinfluxdb import DMAioInfluxDBClient
import asyncio


async def main():
    # create client
    influxdb_client = DMAioInfluxDBClient("localhost", 8086, "org", "token")

    # write query
    query = 'from(bucket: "example") |> range(start: -1h) |> filter(fn: (r) => r._measurement == "monitoring" and r._field == "cpu")'

    # type: <class 'influxdb_client.client.flux_table.TableList'>
    table_res = await influxdb_client.query(query)
    # type: str
    json_res = await influxdb_client.query(query, to="json")
    # type: list[dict]
    list_res = await influxdb_client.query(query, to="list")

    # return error message in case of error
    # type: (str, str)
    json_res, err_msg = await influxdb_client.query(query, to="json", return_errors=True)

    # without error logs in case of errors
    res = await influxdb_client.query(query, err_logging=False)


if __name__ == "__main__":
    asyncio.run(main())

Set custom logger

If you want set up custom logger

from dm_aioinfluxdb import DMAioInfluxDBClient


# create custom logger
class MyLogger:
    def debug(self, message):
        pass

    def info(self, message):
        pass

    def warning(self, message):
        print(message)

    def error(self, message):
        print(message)


# set up custom logger for all clients
DMAioInfluxDBClient.set_logger(MyLogger())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dm_aioinfluxdb-0.2.5.tar.gz (3.7 kB view hashes)

Uploaded Source

Built Distribution

dm_aioinfluxdb-0.2.5-py3-none-any.whl (4.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page