Create DAG to scrape Littlepay Group and Product information nightly

[thekaveman]

User story / feature request

As a Cal-ITP Customer Success representative, I need to be able to monitor changes to Littlepay Group and Product configuration in order to help diagnose issues with transactions and configuration related to discounts provided by the Cal-ITP Benefits app.

Acceptance Criteria

• A table of Littlepay Groups exists containing at least the columns id, label, participant_id, populated from the Littlepay Back Office Groups endpoint
• A table of Littlepay Products exists containing at least the columns id, code, status, type, description, participant_id, populated from the Littlepay Back Office Products endpoint
• A table of Littlepay Group<>Product linkages exists containing at least the columns group_id, product_id, participant_id, populated from the Littlepay Back Office Product Groups endpoint
• The data is acquired nightly and timestamped to allow viewing changes over time
• This data is available to Metabase users

Notes

The cal-itp/littlepay Python package implements the necessary APIs to fetch this data as Python objects and in CSV format.

A GitHub Action is set up to scrape this data into CSVs stored in the repository and can be used as a model for a new DAG.

See this Slack thread for more background / context.