data-importer

You can import YAML frontmatter Markdown files into a SQLite database by running the provided CLI script. It parses the Markdown content and uses SQLAlchemy models to validate and persist the records into the database.

Yes, the data importer ensures referential integrity during test data population by applying a dependency-aware import order. This sequence guarantees that referenced records exist before their dependent records are inserted into the SQLite database.

Yes, you can perform incremental imports to skip existing records in the SQLite database. The importer supports this feature alongside batch processing to optimize performance when migrating large sets of Markdown data files.

To migrate Markdown content into relational storage, you need Python 3.8 or higher, along with PyYAML and SQLAlchemy. These dependencies are required to parse the YAML frontmatter, validate the data, and persist it to SQLite.

The best way to initialize a development database from file-based content is using an automated import script. This Skill populates a SQLite database from YAML-frontmatter Markdown records, enabling developers to verify API endpoints with realistic test data.