datayoga 0.10.0

DataYoga for Python

datayoga-py

Introduction

datayoga-py is the transformation engine used in DataYoga, a framework for building and generating data pipelines.

Installation

pip install datayoga

Quick start

This demonstrates how to transform data using a DataYoga job.

Create a Job

Use this example.yaml:

steps:
  - uses: add_field
    with:
      field: full_name
      language: jmespath
      expression: '{ "fname": fname, "lname": lname} | join('' '', values(@))'
  - uses: rename_field
    with:
      from_field: fname
      to_field: first_name
  - uses: rename_field
    with:
      from_field: lname
      to_field: last_name
  - uses: remove_field
    with:
      field: credit_card
  - uses: add_field
    with:
      field: country
      language: sql
      expression: country_code || ' - ' || UPPER(country_name)
  - uses: remove_field
    with:
      field: country_name
  - uses: remove_field
    with:
      field: country_code
  - uses: map
    with:
      object:
        {
          first_name: first_name,
          last_name: last_name,
          greeting: "'Hello ' || CASE WHEN gender = 'F' THEN 'Ms.' WHEN gender = 'M' THEN 'Mr.' ELSE 'N/A' END || ' ' || full_name",
          country: country,
          full_name: full_name
        }
      language: sql

Transform data using datayoga-py

Use this code snippet to transform a data record using the job defined above:

import datayoga as dy
from datayoga.job import Job
from datayoga.utils import read_yaml

job_settings = read_yaml("example.yaml")
job = dy.compile(job_settings)

assert job.transform({"fname": "jane", "lname": "smith", "country_code": 1, "country_name": "usa", "credit_card": "1234-5678-0000-9999", "gender": "F"}) == {"first_name": "jane", "last_name": "smith", "country": "1 - USA", "full_name": "jane smith", "greeting": "Hello Ms. jane smith"}

As can be seen, the record has been transformed based on the job:

• fname field renamed to first_name.
• lname field renamed to last_name.
• country field added based on an SQL expression.
• full_name field added based on a JMESPath expression.
• greeting field added based on an SQL expression.

Examples

• Add a new field country out of an SQL expression that concatenates country_code and country_name fields after upper case the later:

  uses: add_field
  with:
    field: country
    language: sql
    expression: country_code || ' - ' || UPPER(country_name)
  

• Rename field lname to last_name:

  uses: rename_field
  with:
    from_field: lname
    to_field: last_name
  

• Remove credit_card field:

  uses: remove_field
  with:
    field: credit_card
  

For a full list of supported block types see reference.