Streaming Content Validator

Overview

My objective was to create a simple test automation framework that validates a list of content from a mock streaming service to ensure data consistency and accuracy. This simulates a real-world scenario of testing backend APIs and services in a streaming platform.

Features Implemented

1. Mock API for Streaming Content (app.py):

• Used Flask to build a basic API that serves streaming content data (show names, genres, episode counts).
• Used a small dataset representing various content categories such as sports and entertainment.

2. Use PyTest to automate testing for (tests/test_api.py):

• Correct data structure validation (all fields (title, genre, and episodes) are present).
• Data accuracy checks (e.g., ensuring the number of episodes is an integer).
• API response times.

3. Test Coverage Reporting (python-app.yml):

• Implemented test coverage reporting using pytest-cov track code coverage.
• As per Github actions workflow, coverage reports are uploaded per code push/build.

4. Continuous Integration (python-app.yml):

• Set up a basic CI pipeline using GitHub Actions to run tests on every code push.

Tools and Tech Stack:

• Python
• Flask (for API)
• PyTest (for automation)
• GitHub Actions (for CI)

Getting Started

Prerequisites

• Python 3.x
• pip for installing Python packages

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/your-repository.git
   cd your-repository