laboro 0.0.52

The Laboro workflow framework

Laboro

Laboro is a workflow manager that helps you to build and run workflows with the lesser possible code typing.

Install

Laboro is intended to be run within a container. See the container/README.md file to build a custom Laboro container image.

To get the latest Laboro version, rune the following command line:

docker pull mcosystem/laboro:latest

The Laboro version matches the Python Laboro package version. Thus, to install Laboro in a specific version, use the corresponding tag:

docker pull mcosystem/laboro:1.0.0

Configuration

Laboro has two configuration levels:

• The global configuration level: This level is set with the mandatory /etc/laboro/laboro.yml. The default global configuration file is auto-generated at build time from the parameters given to container build command. See the container/README.md for further details on the available configuration parameters and how to build a custom Laboro container image.

  Passing parameters at build time ascertains that all needed directories are created with the expected permissions.

  Even if Laboro is a container based app, modification of the default global configuration file outside build time (i.e. by mounting a volume at run time) is not expected nor supported.

  If you choose to do so, please, don't forget to create the directories according to your configuration file and apply the right permissions to them.

• The workflow configuration level: Each workflow must have a YAML configuration file in the ${LABORO_WORKFLOWDIR}.

  The name of the configuration filename must reflect the workflow name. Thus, if you workflow name is "my_workflow", the workflow configuration file must be ${LABORO_WORKFLOWDIR}/my_workflow.yml

  Workflows configuration files are expected to be mounted as volume at run time. Thus, to run the two my_worflow_1 and my_worflow_2, the volume must contain my_worflow_1.yml and my_worflow_2.yml file and be mounted under the ${LABORO_WORKFLOWDIR} directory (default to ${LABORO_HOMEDIR}/workflows).

  Using the default global configuration file, the following command line would run the my_worflow_1 and my_worflow_2 workflows with their corresponding configuration files situated on the container host in the /path/to/local/dir directory:

  docker run --name laboro \
             -v /path/to/local/dir:/opt/laboro/workflows:ro \
             laboro \
             -r my_worflow_1 my_worflow_2
  

load optional modules

The default container image comes with no modules except the default ExampleModule which is a dumb demonstration module.

You can load additional modules by passing the desired modules list to the the -m option of the Laboro container.

Laboro modules must be valid Python packages and must be registered on the Pypi package index. To avoid hazardous python package loading, any valid Laboro package name must match the ^laboro-.*$ regular expression.

Loading laboro module at runtime:

docker run laboro -m laboro-http laboro-database...

Workflows

Configuration

Run your workflows

Once the Laboro container is built or installed from the official image, you can run you workflows by summoning the container and pass your workflows names as arguments.

The workflows will be run sequentially in the specified order.

docker run laboro -r my_first_workflow my_second_workflow...

Workspaces

Logging