This project aims to create an API for fetching the latest YouTube videos based on a predefined search query, storing them in a database, and providing paginated responses through a GET API endpoint. The project is built using Django and includes features like continuous background fetching, support for multiple API keys, and scalability.

1. Clone the repository:

git clone https://github.com/ashavijit/yt-api
cd yt-api

2. Create a virtual environment and install dependencies:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

3. Set up the Django environment variables:

   • Create a .env file in the project directory.

   • Add the following environment variables to the .env file:

     SECRET_KEY=your_django_secret_key
     YOUTUBE_API_KEYS=your_api_key_1,your_api_key_2,your_api_key_3
     

4. Apply migrations:

python manage.py migrate

5. Start the Django server:

python manage.py runserver

6. Access the API at http://localhost:8000/api/videos/.

• GET /api/videos/: Returns the stored video data in a paginated response sorted in descending order of published datetime.

To access the dashboard for viewing stored videos with filters and sorting options:

1. Ensure the Django server is running.
2. Visit http://localhost:8000/admin/ in your browser.
3. Log in with your admin credentials.
4. Navigate to the "Videos" section.

1. Build the Docker image:

docker build -t youtube-video-api .

2. Run the Docker container:

docker run -p 8000:8000 youtube-video-api

1. Install Terraform from here.
2. Navigate to the terraform directory:

cd terraform

3. Initialize the Terraform working directory:

terraform init

4. Create a terraform.tfvars file in the terraform directory and add the following variables:

   project = "your_project_id"
   region = "your_region"
   

5. Apply the Terraform configuration:

terraform apply

6. Access the API at http://<EXTERNAL_IP>:8000/api/videos/.

7. Access the API at http://localhost:8000/api/videos/.

Feel free to contribute to this project by submitting bug reports, feature requests, or pull requests.

This project is licensed under the MIT License. See the LICENSE file for details.