SQLModel Data Modeling

This skill provides guidance and code patterns for creating robust and efficient data models using SQLModel.

Workflow

1. Define Basic Models: Start by defining the basic structure of your models. Refer to references/model_definition.md for defining tables, fields, and constraints. It includes templates for User, Task, and Category models.
2. Establish Relationships: Define relationships between your models. See references/relationships.md for patterns on creating one-to-many (1:N) and many-to-many (N:M) relationships.
3. Implement Advanced Patterns: For more complex scenarios, consult references/advanced_patterns.md. This guide covers model inheritance, a base model with audit timestamp fields, computed properties, and handling of JSON data.
4. Add Validation: Implement data validation to ensure integrity. Examples of model validation using SQLModel's features are in references/validation.md.

Always consult the relevant reference document for detailed code examples and best practices for each step.