- Free software: MIT license
akagi enables you to access various data sources such as Amazon Redshift, Amazon S3 and Google Spreadsheet (more in future) from python.
Install via pip:
pip install akagior from source:
$ git clone https://github.com/ayemos/akagi akagi
$ cd akagi
$ python setup.py installTo 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-1To 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.
Associated client has to have read access to the sheets.
$ export GOOGLE_APPLICATION_CREDENTIAL=$HOME/.credentials/service-1a2b.jsonfrom 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 resultfrom 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 resultfrom 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 resultfrom akagi.data_sources import LocalDataSource
ds = LocalDataSource(
'./PATH/TO/YOUR/DATA/DIR',
file_format='csv')
for d in ds:
print(d) # iterate on resultThis package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
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