Metadata-Version: 2.1
Name: aioinflux
Version: 0.9.0
Summary: Asynchronous Python client for InfluxDB
Home-page: https://github.com/gusutabopb/aioinflux
Author: Gustavo Bezerra
Author-email: gusutabopb@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Database
Requires-Python: >=3.6
Provides-Extra: cache
Provides-Extra: docs
Provides-Extra: pandas
Provides-Extra: test
License-File: LICENSE

aioinflux
=========
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Asynchronous Python client for `InfluxDB`_. Built on top of
`aiohttp`_ and `asyncio`_.
Aioinflux is an alternative to the official InfluxDB Python client.

Aioinflux supports interacting with InfluxDB in a non-blocking way by using `aiohttp`_.
It also supports writing and querying of `Pandas`_ dataframes,
among other handy functionality.

.. _Pandas: http://pandas.pydata.org/
.. _InfluxDB: http://influxdata.com/
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _aiohttp: https://github.com/aio-libs/aiohttp

Please refer to the `documentation`_ for more details.

Installation
------------

Python 3.6+ is required.
You also need to have access to a running instance of InfluxDB.

.. code:: bash

   pip install aioinflux



Quick start
-----------

This sums most of what you can do with ``aioinflux``:

.. code:: python

    import asyncio
    from aioinflux import InfluxDBClient

    point = {
        'time': '2009-11-10T23:00:00Z',
        'measurement': 'cpu_load_short',
        'tags': {'host': 'server01',
                 'region': 'us-west'},
        'fields': {'value': 0.64}
    }

    async def main():
        async with InfluxDBClient(db='testdb') as client:
           await client.create_database(db='testdb')
           await client.write(point)
           resp = await client.query('SELECT value FROM cpu_load_short')
           print(resp)


    asyncio.get_event_loop().run_until_complete(main())


See the `documentation`_ for more detailed usage.

.. _documentation: http://aioinflux.readthedocs.io/en/stable/

