Issue Tracker

A full-stack issue tracking application with a Python FastAPI backend and an Angular frontend.

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Project Goals

This project is a simple Issue Tracker built with a Python FastAPI backend and an Angular frontend. The main goals are:

• Provide a REST API for managing issues, including viewing, searching, filtering, sorting, creating, and updating issues.
• Deliver a modern Angular UI for interacting with the issue tracker, supporting all core features.

Backend (Python/FastAPI)

Implements endpoints:

• GET /health — Health check
• GET /issues — List issues, with search (by title), filters, sorting, and pagination (page, pageSize)
• GET /issues/:id — Get a single issue
• POST /issues — Create a new issue (auto-generates id, adds createdAt and updatedAt)
• PUT /issues/:id — Update an issue (refreshes updatedAt)

Frontend (Angular)

Features:

• Issues List Page: Table view with columns (id, title, status, priority, assignee, updatedAt), filters, search, sorting, pagination, create/edit actions, and row click for detail view
• Issue Detail Page: Shows full issue JSON in a drawer or separate route

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Features

• Create, view, update, and delete issues
• RESTful API backend (FastAPI)
• Modern Angular frontend
• Persistent storage (SQLite or other DB)

Project Structure

issue-tracker-backend/   # FastAPI backend
   app/
      main.py             # FastAPI entrypoint
      models.py           # SQLAlchemy models
      database.py         # DB connection
      routers/            # API routes
   requirements.txt      # Python dependencies

issue-tracker-frontend/ # Angular frontend
   src/
      app/
         components/       # Angular components
         models/           # TypeScript models
         services/         # API services
   package.json          # Node dependencies

Getting Started

Backend (FastAPI)

1. Navigate to issue-tracker-backend
2. Create a virtual environment and activate it:

   python -m venv venv
   venv\Scripts\activate  # On Windows
   source venv/bin/activate  # On Mac/Linux
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the server:

   uvicorn app.main:app --reload
   

Frontend (Angular)

1. Navigate to issue-tracker-frontend
2. Install dependencies:

   npm install
   

3. Run the Angular app:

   npm start
   

API Endpoints

See FastAPI docs at http://localhost:8000/docs when backend is running.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT