questpie-core-rules

Row-level access control is configured by defining granular permissions for reading, creating, updating, and deleting data at both collection and global levels within the QUESTPIE framework, ensuring secure data handling.

Data lifecycle hooks allow you to implement custom logic before or after data validation, changes, or deletions. They automate backend tasks by executing pre-operation or post-operation logic to transform data, enforce data integrity, or trigger side effects.

Yes, you can automatically generate a slug from a title before saving by implementing custom data transformation logic in pre-operation lifecycle hooks, enabling automated modifications prior to data changes.

Data validation is enforced through built-in field constraints and custom validation logic executed within lifecycle hooks, ensuring schema-driven data correctness and integrity during create and update operations.

Yes, the framework supports schema-driven validation for securing collections, allowing you to define built-in field constraints and custom validation logic to satisfy requirements for secure data handling and data integrity enforcement.