Data engineering & Data science Framework
Project description
pygyver
Contains Data Enginner, Data Scientist and 3rd party integration tools capabilities
Installation
py-test-utility can be installed via pip
pip install pygyver
DS Libraries
To access BigQuery you will need following environment variables:
BIGQUERY_PROJECT
- name of the project in BigQuery. Default project cannot be changed in the code.BIGQUERY_ACCESS_TOKEN_PATH
- path to the json token file.
BigQuery functions wrap bigpyquery
functions to provide higher level API removing boilerplate instructions of the lower level API.
tdd_utility - module
class load_data(type,file,schema)
Contains methods to extract the equivalent json from csv with nested and repeated records structures
Methods
-
to_json()
- if successfuls return the json obj extracted from the csv
-
to_new_line_delimiter_file(output_file_name)
- return 0 if successfuls
- create new line delimiter "output_file_name" file
Project details
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pygyver-0.0.1.tar.gz
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