Dynamic Report Generation using Node.js
Budget: ₹1,500 – ₹12,500 INR
The project involves creating a Node.js-based server application for generating customizable Candidate Reports based on the analysis of a test that a candidate writes. The system will dynamically generate reports in PDF format, incorporating graphs, images, and text fields, as specified in the provided templates.
Functional Requirements
Dynamic Report Generation
The system will generate PDF reports with the following sections:
Candidate Summary
Employability Index
Profile Analysis
Foundational Skills
Developmental Plans
Fields like candidate name, ID, scores, and role suitability will be dynamically inserted into the report.
Graph Integration
Generate various types of graphs (e.g., bar charts, pie charts, line graphs) using libraries like Chart.js or D3.js.
Include graphs for:
Skill distributions
Employability index
Profile and foundational skill analysis
Image Integration
Insert candidate-specific images such as profile pictures or logos.
Text and Table Fields
Dynamically populate descriptive text and tables based on input data.
Include recommendations, developmental plans, and skill evaluations.
Input Management
Accept input data db called from API, containing:
Candidate details
Examination results
Role fit analysis
Recommendations
Validate and sanitize input data.
Output Management
Generate and save the PDF report on the server.
Provide options to download or email the report.
Non-Functional Requirements
Scalability: Support concurrent report generation for multiple users.
Performance: Ensure reports are generated within 2-3 seconds for typical input sizes.
Security: Validate input data to prevent injection attacks & Secure API endpoints with authentication mechanisms (JWT).
Maintainability: Modular codebase with clear separation of concerns (e.g., API, data processing, PDF generation).
Detailed documentation and inline comments.
Technical Specifications
Server Framework: Node.js with Express.js for building the server API.
PDF Generation: Use libraries Puppeteer, v:21.3.8 for creating and styling PDF documents.
Generate graphs using: Chart.js for static graphs rendered to images. & D3.js for complex or interactive graph requirements.
Database: Use Mysql for input data and generate reports metadata.
Image Handling: Use Sharp or similar libraries for resizing and formatting images.
Authentication: Implement JWT-based authentication for securing APIs.
Deliverables
Codebase: Fully documented and modular Node.js application.
API Documentation: Swagger/OpenAPI specification for the REST API endpoints.
User Guide: Instructions for deploying and using the application.
Sample Reports: Include sample PDF reports to demonstrate various templates and layouts.
Testing: Unit and integration tests covering all major functionalities.
Functional Requirements
Dynamic Report Generation
The system will generate PDF reports with the following sections:
Candidate Summary
Employability Index
Profile Analysis
Foundational Skills
Developmental Plans
Fields like candidate name, ID, scores, and role suitability will be dynamically inserted into the report.
Graph Integration
Generate various types of graphs (e.g., bar charts, pie charts, line graphs) using libraries like Chart.js or D3.js.
Include graphs for:
Skill distributions
Employability index
Profile and foundational skill analysis
Image Integration
Insert candidate-specific images such as profile pictures or logos.
Text and Table Fields
Dynamically populate descriptive text and tables based on input data.
Include recommendations, developmental plans, and skill evaluations.
Input Management
Accept input data db called from API, containing:
Candidate details
Examination results
Role fit analysis
Recommendations
Validate and sanitize input data.
Output Management
Generate and save the PDF report on the server.
Provide options to download or email the report.
Non-Functional Requirements
Scalability: Support concurrent report generation for multiple users.
Performance: Ensure reports are generated within 2-3 seconds for typical input sizes.
Security: Validate input data to prevent injection attacks & Secure API endpoints with authentication mechanisms (JWT).
Maintainability: Modular codebase with clear separation of concerns (e.g., API, data processing, PDF generation).
Detailed documentation and inline comments.
Technical Specifications
Server Framework: Node.js with Express.js for building the server API.
PDF Generation: Use libraries Puppeteer, v:21.3.8 for creating and styling PDF documents.
Generate graphs using: Chart.js for static graphs rendered to images. & D3.js for complex or interactive graph requirements.
Database: Use Mysql for input data and generate reports metadata.
Image Handling: Use Sharp or similar libraries for resizing and formatting images.
Authentication: Implement JWT-based authentication for securing APIs.
Deliverables
Codebase: Fully documented and modular Node.js application.
API Documentation: Swagger/OpenAPI specification for the REST API endpoints.
User Guide: Instructions for deploying and using the application.
Sample Reports: Include sample PDF reports to demonstrate various templates and layouts.
Testing: Unit and integration tests covering all major functionalities.