========== akagi

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########### akagi ###########

• Free software: MIT license

Features

akagi enables you to access various data sources such as Amazon Redshift, Amazon S3 and Google Spreadsheet (more in future) from python.

Installation

Install via pip::

pip install akagi

or from source::

$ git clone https://github.com/ayemos/akagi akagi $ cd akagi $ python setup.py install

Setup

To use RedshiftDataSource, you need to set environment variable AKAGI_UNLOAD_BUCKET the name of the Amazon S3 bucket you like to use as intermediate storage of Redshift Unload command.

::

$ export AKAGI_UNLOAD_BUCKET=xyz-unload-bucket.ap-northeast-1

To use SpreadsheetDetaSource, you need to set environment variable GOOGLE_APPLICATION_CREDENTIAL to indicate your service account credentials file. You can get the credential from here <https://console.developers.google.com/permissions/serviceaccounts>_.

Associated client has to have read access to the sheets.

::

$ export GOOGLE_APPLICATION_CREDENTIAL=$HOME/.credentials/service-1a2b.json

Example

++++++++++++++++++ RedshiftDataSource ++++++++++++++++++

.. code:: python

from akagi.data_sources import RedshiftDataSource

ds = RedshiftDataSource('select * from (select user_id, path from logs.imp limit 10000')

for d in ds: print(d) # iterate on result

++++++++++++ S3DataSource ++++++++++++

.. code:: python

from akagi.data_sources import S3DataSource

ds = S3DataSource.for_prefix( 'image-data.ap-northeast-1', 'data/image_net/zebra', file_format='binary')

for d in ds: print(d) # iterate on result

+++++++++++++++++++++ SpreadsheetDataSource +++++++++++++++++++++

.. code:: python

from akagi.data_sources import LocalDataSource

ds = SpreadsheetDataSource( '1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms', # sample sheet provided by Google sheet_range='Class Data!A2:F31')

for d in ds: print(d) # iterate on result

++++++++++++++++++ LocalDataSource ++++++++++++++++++

.. code:: python

from akagi.data_sources import LocalDataSource

ds = LocalDataSource( './PATH/TO/YOUR/DATA/DIR', file_format='csv')

for d in ds: print(d) # iterate on result

Credits

This package was created with Cookiecutter <https://github.com/audreyr/cookiecutter>_ and the audreyr/cookiecutter-pypackage <https://github.com/audreyr/cookiecutter-pypackage>_ project template.