killrvideo-python

Python implementation of KillrVideo service layer. Requires Python 3.

Install:

• Clone this repo
  • git clone <>
  • cd killrvideo-python

Dependencies:

• To run the Python services, we recommend using venv to create a Python virtual environment, which leverages the contents of requirements.txt to install the required Python libraries
  • python3 -m venv venv
  • source venv/bin/activate
• Alternatively, you can build the dependencies locally by emulating the pip install commands in Dockerfile.

Running Python services in Docker:

• Run the script to build the Docker container:
  • scripts/docker-build.sh
• Run the services and supporting infrastructure in Docker
  • docker-compose up -d

(Alternate) Running the Python Services on the host (not in docker):

• Run supporting infrastructure using Docker
  • scripts/run-docker-backend-exernal.sh
  • Note this script makes use of the custom compose file scripts/docker-compose-backend-external.yaml, which references the environment variable KILLRVIDEO_BACKEND. The script sets this to the host IP.
• Run the Python services
  • In your IDE or shell, set the environment variables KILLRVIDEO_DSE_CONTACT_POINTS and KILLRVIDEO_KAFKA_BOOTSTRAP_SERVERS to point to localhost (127.0.0.1)
  • python killrvideo/__init__.py
  • To stop the docker services, run scripts/stop-docker-backend-external.sh

For more advanced Docker configuration options including metrics, volume storage and OpsCenter, see the killrvideo-docker-common repository.