Documenting a Generic Resource Service
This document describes the purpose, structure, and key functionalities of a generic service used within a NestJS application for managing resources.
Purpose:
- Provides an abstraction layer between controllers and the database for CRUD operations (Create, Read, Update, Delete) and other resource-specific actions.
- Encapsulates business logic related to the resource, including data validation, transformation, and persistence.
- Promotes separation of concerns and code reusability.
Key Elements:
- Injected Mongoose Model: The service is injected with a Mongoose model representing the specific resource data.
- Methods:
- CRUD methods (get, create, update, delete) defined for managing resource data.
- May implement pagination, search, filtering, and sorting functionalities.
- Often perform data validation and transformation before interacting with the model.
- Should handle and throw appropriate exceptions for errors.
- Additional methods specific to the resource and its use cases.
- Pagination: Uses
getPipelineStageForPaginationfunction for efficient pagination queries. - Search: Implements filtering based on search terms using the
$regexoperator with case-insensitive search ($options: 'i'). - Dropdown Data Retrieval: Provides a
findAllDropdownDatamethod for retrieving specific fields with optional filtering for dropdown menus.
Benefits:
- Improves code organization and maintainability by centralizing resource logic.
- Simplifies controller implementation by providing a well-defined service interface.
- Promotes data integrity and consistency through validation and Mongoose operations.
Additional Notes:
- The specific resource name, service methods, and functionalities will vary depending on the actual resource type and application requirements.
- Consider error handling mechanisms for unexpected database errors or validation failures.
- This is a generic overview, and you might need to adjust it to reflect the specific details and methods present in your service.
Additional Notes for your specific service:
- The provided implementation uses aggregation pipelines for filtering and pagination. You might need to adjust this based on your specific needs and data model complexity.