Generate `get_data.py` Scripts for CM-Level Models

[Polichinel]

Issue: Generate get_data.py Scripts for CM-Level Models

THIS CAN NOT BE DONE BEFORE:

• https://github.com/prio-data/views_pipeline/issues/119#issue-2623728394
• https://github.com/prio-data/views_pipeline/issues/118#issue-2623711176
• https://github.com/prio-data/views_pipeline/issues/122#issue-2623858376

Description
Leverage the scaffolding function to create get_data.py scripts for each CM-level model. Use the model catalog to verify that each script includes the correct querysets, and adjust scripts as needed to meet model-specific requirements. Ensure validation includes alignment with querysets specified in the model catalog to maintain consistency and data integrity.

Objectives and Requirements

1. Generate Data Loading Scripts:

   • Utilize the scaffolding function from to create get_data.py scripts for all CM-level models, placing them in each model’s src/dataloaders/ directory.
   • Ensure each script loads data using the correct querysets based on the model catalog.

2. Customization and Validation:

   • Adjust each get_data.py script as needed for specific CM model configurations.
   • Validate each script to ensure it meets model-specific data loading requirements and confirm data integrity.

Tasks

• [ ] Generate get_data.py scripts for CM models using the scaffolding function from Issue 1.
• [ ] Consult the model catalog as the source of truth for querysets while creating and validating get_data.py scripts.
• [ ] Modify and test each script to ensure it aligns with model-specific data requirements and document any custom configurations applied to CM models.

Next Steps
Once all get_data.py scripts are complete, we move on to implementing the actual models

Labels
CM-level, data loading, querysets, validation