The architecture for the Police Performance and Resource Management Platform, as illustrated in the provided diagram, consists of a React frontend application and a Spring Boot backend application interfacing with a MongoDB database. Below is a detailed explanation of each component in relation to the platform's objectives:
React Frontend App
Router:
Manages navigation within the application, directing users to different views such as dashboards, reports, and detailed unit performance.
Components:
These are the reusable UI elements that display data and interactive elements. Examples include charts, tables, forms, and alerts that track key performance indicators (KPIs) like response times and crime clearance rates.
Services:
Contain the logic to fetch data from the backend using the Axios HTTP library. They manage API calls to retrieve performance data, submit updates, and handle user interactions.
Axios HTTP Library:
A promise-based HTTP client used to communicate with the Spring REST Controller in the backend. It sends requests to retrieve and submit data, ensuring that the frontend stays synchronized with the backend.
Spring Boot Backend App
Spring REST Controller:
Exposes RESTful endpoints to handle requests from the frontend. It processes incoming data and queries the database for information related to police performance metrics and resource allocation.
Model:
Represents the data structure used within the application. It defines entities such as Police Stations, Officers, Performance Metrics, and Resource Allocations.
Service:
Contains the business logic for handling data. It processes input from the REST Controller, performs necessary calculations or transformations, and interacts with the DAO layer to retrieve or update data in the database.
DAO (Repository):
Data Access Object that interacts with the MongoDB database. It performs CRUD (Create, Read, Update, Delete) operations to store and retrieve data required by the service layer.
MongoDB Database
MongoDB:
A NoSQL database used to store structured and unstructured data. It holds all the relevant data for the platform, including police station details, officer information, performance metrics, resource allocations, and historical data.