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AQA Topics

A knowledge-sharing platform for Automation QA engineers. This project aggregates QA topics, tutorials, and resources in one organized location.

Overview

AQA Topics is a web application that helps QA engineers find and share valuable resources. The platform organizes content by categories, making it easy to discover relevant information.

Features

  • Topic Management: Browse, add, edit, and delete QA-related topics
  • Category Organization: Topics grouped by categories with icons
  • Search Functionality: Find specific topics quickly
  • Admin Panel: Protected editor mode for content management
  • Responsive Design: Works on various devices

Tech Stack

  • Backend: Python with Flask
  • Frontend: HTML, CSS, JavaScript
  • Data Storage: Database (implementation details abstracted)
  • Authentication: Basic auth for admin features
  • Deployment: Hosted on Vercel (previously Heroku)

Installation

  1. Clone the repository

    git clone https://github.com/yourusername/aqa-topics.git
    cd aqa-topics
  2. Set up a virtual environment

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
  3. Install dependencies

    pip install -r requirements.txt
  4. Set environment variables

    # For development
    export FLASK_APP=index.py
    export FLASK_ENV=development
    # Authentication credentials (for admin access)
    export AUTH_USERNAME=admin
    export AUTH_PASSWORD=yourpassword
  5. Run the application

    flask run

Usage

  • Browse Topics: Visit the homepage to see all topics organized by categories
  • Search: Use the search feature to find specific topics
  • Add Content: Submit new topics through the add topic form
  • Admin Access: Visit /god route with proper authentication to manage all content

Deployment

The application is deployed at:

Project Structure

  • index.py: Main application file with routes and request handlers
  • templates/: HTML templates for the web pages
  • Models for Topic, Category, and Domain entities
  • Async handlers for data retrieval

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Pet project to share knowledge between AQA engineers

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