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Data engineering & Data science Framework

Project description


Contains Data Enginner, Data Scientist and 3rd party integration tools capabilities


py-test-utility can be installed via pip

pip install ??find the name??


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 bigrquery 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


  • 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

Generating distribution archives

python3 -m pip install --user --upgrade setuptools wheel
python3 -m pip install --user --upgrade twine

Now run this command from the same directory where is located:

python3 sdist bdist_wheel

Uploading the distribution archives

python3 -m twine upload --repository-url dist/*

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