Skip to main content

Influx Object Package

Project description

Influx Point

Description

This module enables the creation of an influx point object that can be transformed into either a JSON or LineProtocol format.

Features

InfluxDB Line Protocol Format

The InfluxDB Line Protocol is a text-based format designed for the efficient writing of time-series data into InfluxDB. It organizes the data points with timestamps, measurement names, fields (key-value pairs representing the data), and tags (optional key-value pairs used to store metadata that describes the data). The format is highly optimized for time-series data, enabling quick parsing and writing. A typical line in this format looks like this:

measurementName,tagKey=tagValue fieldKey="fieldValue" 1465839830100400200

  • measurementName: Identifies the measurement.
  • tagKey=tagValue: Zero or more tag sets separated by commas. Tags are optional but recommended for indexing.
  • fieldKey="fieldValue": At least one field set, with multiple fields separated by commas. Fields are the actual data points.
  • 1465839830100400200: An optional timestamp for the data point. If not specified, the server's current time is used.

JSON Format

The JSON format offers a more flexible way to represent data.

{
    "measurement": "measurement",
    "tags": {"tag1": "value1"},
    "fields": {"field1": 1, "field2": 2},
    "timestamp": 1609455600,
}

Usage

    from influxobject.influxpoint import InfluxPoint

    influx_point = InfluxPoint()
    influx_point.set_measurement("measurement")
    influx_point.set_tags({"tag1": "value1"})
    influx_point.set_fields({"field1": 1, "field2": 2})
    influx_point.set_timestamp(datetime.datetime(2021, 1, 1))\
    
    print(influx_point.to_json())

        # {
        #     "measurement": "measurement",
        #     "tags": {"tag1": "value1"},
        #     "fields": {"field1": 1, "field2": 2},
        #     "timestamp": 1609455600,
        # }
        
    print(influx_point.to_line_protocol())

        # "measurement,tag1=value1 field1=1,field2=2 1609455600"

All functinoalities of the InfluxPoint object are listed below:

    import influxobject
    x = influxobject.InfluxPoint()
    x.
        x.add_field(..., ...)
        x.from_json(...)
        x.remove_field(...)
        x.set_measurement(...)
        x.to_line_protocol()
        x.add_tag(..., ...)
        x.remove_tag(...)
        x.set_tags(...)
        x.validate()
        x.parse_line_protocol(...)
        x.set_fields(...)
        x.set_timestamp(...)
        x.to_json()

Installation

To install the package use the pip package manager

    pip install influxobject

Development

Tox is used as the test runner for this project. To run the entire tox suite use the following command:

    tox

To only run the tests under python 3.9

    tox -e py39

Build

    python setup.py sdist

Publish

    twine upload dist/*

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

influxobject-0.0.6.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

influxobject-0.0.6-py3-none-any.whl (5.9 kB view details)

Uploaded Python 3

File details

Details for the file influxobject-0.0.6.tar.gz.

File metadata

  • Download URL: influxobject-0.0.6.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.11 Linux/5.15.154+

File hashes

Hashes for influxobject-0.0.6.tar.gz
Algorithm Hash digest
SHA256 e2b1bd42b72de30374675e2747d3d847b74d1b6aeccc37e314b260748a9359d8
MD5 0abbf7d3b1476112b58b673b17860c51
BLAKE2b-256 3fa481476b973c171429d27e9890e117c5399b7bc88d4651417d5fb6a138be11

See more details on using hashes here.

File details

Details for the file influxobject-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: influxobject-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 5.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.11 Linux/5.15.154+

File hashes

Hashes for influxobject-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 4798cd7919f59d65d62e66bb52a124de4ec779359143baa49d1dfe2731f1082b
MD5 03e0a5d385c231ca71ec27c9158f8801
BLAKE2b-256 2cc34bc08ce4ba84818514943fafef150492098de581a66d700d689692cea435

See more details on using hashes here.

Supported by

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