Open Issues Need Help
View All on GitHubAI Summary: This epic aims to create a robust and realistic database seeding script using `@faker-js/faker` to populate the database with a significant amount of consistent fake data. This is essential for performance testing, frontend development with realistic data volumes, ensuring complex queries work at scale, and easing the onboarding of new developers.
AI Summary: This issue aims to enhance API security and data integrity by implementing robust input validation across various controllers. It requires using express-validator for most request validations, with potential use of class-validator or Zod for complex DTOs. The task involves adding validation to specific routes within several controllers, such as appointment, auth, interconsultation, and patient.