Dummy Maestro Flask App for Benchmark Usage

A minimal Flask application with a single GET endpoint. Dockerized for easy deployment.

File Structure

flask-app/
├── dummy_maestro.py   # Main Flask app
├── requirements.txt   # Python dependencies
├── Dockerfile         # Docker configuration
└── README.md          # Instructions

Prerequisites

• Python 3.11+ and pip if running without Docker
• Docker installed if running with Docker

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Running with Docker

1. Clone the repository (or copy the files):

   git clone <your-repo-url>
   cd flask-app

2. Build the Docker image:

   docker build -t dummy-maestro .

3. Run the container:

   docker run -p 8080:8080 dummy-maestro

   By passing -cpus <numver-of-cpus> to docker and appending -w <number-of-workers> to the control you can control the level of parallelism in the server.

   This will start the app using Gunicorn, a production-grade WSGI server.

4. Test the endpoint:

   curl http://0.0.0.0:8080/api/v1/status

   Expected response:

   Ok
   

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Running Locally without Docker

1. Install dependencies:

   pip install -r requirements.txt

2. Run the app with Gunicorn (recommended for production):

   gunicorn -b 0.0.0.0:8080 dummy_maestro:app

   By passing -w <number-of-workers> you can control the level of parallelism in the server.

   Or for development/testing only, you can still use:

   python dummy_maestro.py

3. Test the endpoint:

   curl http://localhost:8080/api/v1/status

   Expected response:

   Ok
   

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