The dashboard functionality in our application currently has limited REST API support. While we have endpoints for listing and retrieving dashboards, we lack the ability to create, update, and delete dashboards through the REST API. This limitation prevents users from programmatically managing their dashboards, which is a critical feature for automation and integration with other systems.
## Proposed Solution
Implement a complete set of REST endpoints for dashboard management:
1.**Create Dashboard** (POST /dashboards)
2.**Update Dashboard** (PUT /dashboards/:id)
3.**Delete Dashboard** (DELETE /dashboards/:id)
These endpoints will complement the existing GET endpoints and provide full CRUD functionality for dashboards.
This document outlines the implementation plan for completing the dashboard REST endpoints. It details the order in which tasks should be completed, identifies dependencies between tasks, and highlights opportunities for parallel development.
## Endpoints to Implement
1.**Create Dashboard** (POST /dashboards)
2.**Update Dashboard** (PUT /dashboards/:id)
3.**Delete Dashboard** (DELETE /dashboards/:id)
## Implementation Phases
The implementation is divided into phases based on dependencies and complexity. Tasks within each phase can be worked on concurrently.
Each endpoint will be implemented as a separate REST handler with a corresponding business logic handler. The implementation will follow our established patterns for REST endpoints and handlers.
1.**[Create Dashboard](mdc:prds/active/api_dashboard_create_endpoint.md) and [Delete Dashboard](mdc:prds/active/api_dashboard_delete_endpoint.md) endpoints** can be developed simultaneously by different developers
This implementation plan provides a structured approach to completing the dashboard REST endpoints. By working on Create and Delete endpoints concurrently, followed by the more complex Update endpoint, we can efficiently complete the implementation while managing dependencies.
The testing phase can leverage parallel development to ensure comprehensive test coverage. With proper resource allocation and risk management, we can complete the implementation within the estimated 1-2 week timeframe.