t1d-synthetic-data-pipeline-guide

The synthetic data pipeline works by reading Synthea CSV files, mapping the records to domain models, and connecting them to the HealthMetricService for data generation and ingestion.

To debug synthetic test data in the database, trace the data pipeline to identify issues during the ingestion of Synthea CSV records and their mapping to domain models.

You extend the synthetic data pipeline by modifying the process that maps Synthea CSV data to domain models, ensuring new features integrate correctly with the HealthMetricService.

Yes, you can write tests that exercise the synthetic data pipeline by validating the ingestion of Synthea CSV files and verifying the correct mapping to domain models.

The best way to map Synthea CSV records is following the pipeline guide to transform the data and connect it directly to the HealthMetricService for accurate domain representation.

Synthetic data might not show up if the Synthea CSV ingestion fails or if the mapping to domain models is incorrect, which you can trace using the pipeline guide.