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Project Main Goals:

  • Ability to easily view data integrity issues in the Pokemon TCG API github json

  • To be able to perform data changes 'on top of' the current data via an overlapping stage

    • And to then view and test the resulting data
    • Best case - via a GUI/web front endS
  • To read in new data from other data sources to create an automated 'stage' on top of the base data

  • The ability to save this 'diff' to disk/SQL without changing source data

  • Reacts ite that runs purely off the github JSON

  • and you can edit it just on the site

Current Goals:

  • Read in JSON from github into SQLite database
  • Create DBT tests to make sure data is OK
  • Create python module to allow for staged changes to data
  • Ability to export these changes to another JSON file structure

Current questions:

  • How to organise python structure for reading in JSON nested objects

  • Should the data be read into SQL and only accessed via SQL Alchemy

  • Should it stored into SQL, read into data objects, manipulated and saved back?

  • Should this be done via a main Class with methods to do the dirty work?

  • Should DBT just be used for tests? If reading is done via Python, what use does DBT have?

  • How could this be more accessible for other users?

  • How can this be used to 'stage' new changes over existing data and preview it

  • Could this be done via reading the JSON into a mongoDB in a React project?

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