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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.