https://github.com/awesohame/code-testing-automation

A website that streamlines Load and Unit Testing for REST API servers.
https://github.com/awesohame/code-testing-automation

fastapi javascript node react test-automation typescript vscode-extension

Last synced: 3 months ago
JSON representation

A website that streamlines Load and Unit Testing for REST API servers.

• Host: GitHub
• URL: https://github.com/awesohame/code-testing-automation
• Owner: awesohame
• Created: 2025-09-15T17:36:32.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-09-15T18:17:45.000Z (10 months ago)
• Last Synced: 2025-09-15T20:22:34.225Z (10 months ago)
• Topics: fastapi, javascript, node, react, test-automation, typescript, vscode-extension
• Language: TypeScript
• Homepage:
• Size: 44.1 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# CodeVed

## Overview

CodeVed is a full-stack project built for Hacksplosion 25. It combines a modern React frontend, a Node.js/Express backend, and a Python microservice for document ingestion and standardization. The project demonstrates advanced integration of AI, GitHub API, and collaborative tools for developers.

---

## Features

### Multi-Tier Architecture

- **Client (React + Vite + TypeScript):**

  - Modern UI for interacting with repositories, users, and AI features

  - GitHub repo viewer with authentication

  - Onboarding and user profile management

  - Real-time feedback and error handling

- **Server (Node.js/Express + MongoDB):**

  - RESTful API for user, repo, and document management

  - User onboarding and authentication endpoints

  - GitHub API proxying and token management

  - Modular structure for controllers, routes, services, and models

- **Python Microservice:**

  - Document ingestion and standardization (PDF, DOC, etc.)

  - Exposes endpoints for document processing

  - Used for AI-powered document analysis

### AI & Automation

- **AI Call Agent:**

  - Integrates with Gemini API for AI-powered features

  - Automated code/document analysis and suggestions

- **Document Standardizer:**

  - Python scripts to standardize and extract data from uploaded documents

### Authentication & Security

- **Clerk Integration:**

  - Secure user authentication and session management

- **Environment-based Secrets:**

  - Uses `.env` files for API keys and tokens

### Modular & Scalable Codebase

- **Separation of Concerns:**

  - Clear separation between client, server, and Python services

- **Reusable Components:**

  - React components and hooks for maintainability

- **Extensible Backend:**

  - Easily add new routes, controllers, and services

### Developer Experience

- **Vite for Fast Frontend Development**

- **ESLint & TypeScript for Code Quality**

- **Hot Reloading and Modern Tooling**

- **Comprehensive README and Documentation**

---

## Getting Started

1. **Clone the repository**

2. **Install dependencies** in each subfolder (`client`, `server`, `python-server`, `ai-call-agent`)

3. **Set up environment variables** as per `.env.sample` files

4. **Run backend and frontend servers**

5. **Start Python microservice for document features**

---

## Folder Structure

- `client/` – React frontend

- `server/` – Node.js/Express backend

- `python-server/` – Python document/AI microservice

- `ai-call-agent/` – AI integration service

- `vscode-doc-generator/` – VS Code extension for documentation

---

## Contributing

Pull requests and issues are welcome! Please see the contributing guidelines in each subfolder.

---