Metadata-Version: 2.1
Name: pygyver
Version: 0.0.1
Summary: Data engineering & Data science Framework
Home-page: https://github.com/madedotcom/pygyver
Author: Made.com
Author-email: analytics@made.com
License: UNKNOWN
Description: #  pygyver
        
        Contains Data Enginner, Data Scientist and 3rd party integration tools capabilities
        
        ## Installation
        py-test-utility can be installed via pip
        
        ```python 
        pip install pygyver
        ```
        
        
        ## [DS Libraries](../master/utils/README.md)
        
        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](../master/data_prep/README.md)
        
        ### 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
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
