How can I manage Memgraph Docker instances using Python?

Question

I'm developing Python based graph-based applications I want manage different Memgraph database server instances directly from Python.

Can this be done?

Answer 1

GQLAlchemy instance_runner module allows you to start, stop, connect and monitor Memgraph instances with directly from your Python scripts.

First, perform all the necessary imports:

from gqlalchemy.instance_runner import (
    DockerImage,
    MemgraphInstanceDocker
)

The following code will create a Memgraph instance, start it and return a connection object:

memgraph_instance = MemgraphInstanceDocker(
    docker_image=DockerImage.MEMGRAPH, docker_image_tag="latest", host="0.0.0.0", port=7687
)
memgraph = memgraph_instance.start_and_connect(restart=False)

Start querying the database with:

memgraph.execute_and_fetch("RETURN 'Memgraph is running' AS result"))[0]["result"]

You can pass configuration flags using a dictionary:

config={"--log-level": "TRACE"}
memgraph_instance = MemgraphInstanceDocker(config=config)

To stop a Memgraph instance, call the stop() method:

memgraph_instance.stop()

To check if a Memgraph instance is running, call the is_running() method:

memgraph_instance.is_running()