1.2. Prerequisites#
The software and configurations listed in this section are prerequisites for
following this user guide. The CWL Specification is implemented by multiple
CWL Runners. This list of requirements focuses on the cwltool
runner. You
can use another CWL Runner but the examples may produce a different output.
CWL Implementations
There are many CWL Implementations. Some are complete CWL Runners, others are plug-ins or extensions to Workflow Engines. We have a better explanation in the Implementations section.
1.2.1. Operating System#
We recommend using an up-to-date operating system. You can choose any of the following options for your operating system:
Linux
macOS
You can try to use Window Subsystem for Linux 2 (WSL) to follow the User Guide documentation, but some examples may not work as expected.
Your operating system also needs Internet access and a recent version of Python 3.
1.2.2. CWL runner#
The first thing you will need for running CWL workflows is a CWL runner.
cwltool
is a Python Open Source project maintained by the CWL community. It
is also the CWL reference runner, which means it must support everything in the
current CWL specification, v1.2
.
cwltool
can be installed with pip
. We recommend using a virtual environment
like venv
or conda
. The following commands will create and activate a Python
virtual environment using the venv
module, and install cwltool
in that
environment:
$ python -m venv venv
$ source venv/bin/activate
$ (venv) pip install cwltool
Note
Visit the cwltool
documentation
for other ways to install cwltool
with apt
and conda
.
Let’s use a simple workflow true.cwl
with cwltool
.
cwlVersion: v1.2
class: CommandLineTool
inputs: []
outputs: []
# `true` is a Linux command that exits with exit code `0` (success).
baseCommand: "true"
The cwltool
command has an option to validate CWL workflows. It will parse the
CWL workflow, look for syntax errors, and verify that the workflow is compliant
with the CWL specification, without running the workflow. To use it you just need
to pass --validate
to the cwltool
command:
$ cwltool --validate true.cwl
INFO /opt/hostedtoolcache/Python/3.9.13/x64/bin/cwltool 3.1.20220913185150
INFO Resolved 'true.cwl' to 'file:///home/runner/work/user_guide/user_guide/src/_includes/cwl/true.cwl'
true.cwl is valid CWL.
You can run the CWL workflow now that you know it is valid:
$ cwltool true.cwl
INFO /opt/hostedtoolcache/Python/3.9.13/x64/bin/cwltool 3.1.20220913185150
INFO Resolved 'true.cwl' to 'file:///home/runner/work/user_guide/user_guide/src/_includes/cwl/true.cwl'
INFO [job true.cwl] /tmp/rl7mu0a3$ true
INFO [job true.cwl] completed success
{}
INFO Final process status is success
1.2.2.1. cwl-runner Python module#
cwl-runner
is an implementation agnostic alias for CWL Runners.
Users can invoke cwl-runner
instead of invoking a CWL runner like cwltool
directly. The cwl-runner
alias command then chooses the correct CWL runner.
This is convenient for environments with multiple CWL runners.
The CWL community publishes a Python module with the same name,
cwl-runner
, that defaults to cwltool
. cwl-runner
will be used in
the rest of this user guide. You can use pip
to install the cwl-runner
Python module:
$ pip install cwl-runner
Now you can validate and run your workflow with cwl-runner
executable,
which will invoke cwltool
. You should have the same results and output
as in the previous section.
$ cwl-runner --validate true.cwl
INFO /opt/hostedtoolcache/Python/3.9.13/x64/bin/cwl-runner 3.1.20220913185150
INFO Resolved 'true.cwl' to 'file:///home/runner/work/user_guide/user_guide/src/_includes/cwl/true.cwl'
true.cwl is valid CWL.
$ cwl-runner true.cwl
INFO /opt/hostedtoolcache/Python/3.9.13/x64/bin/cwl-runner 3.1.20220913185150
INFO Resolved 'true.cwl' to 'file:///home/runner/work/user_guide/user_guide/src/_includes/cwl/true.cwl'
INFO [job true.cwl] /tmp/zeqwaow2$ true
INFO [job true.cwl] completed success
{}
INFO Final process status is success
Another way to execute cwl-runner
is invoking the file directly. For that,
the first thing you need to copy true.cwl
workflow into a new file
true_shebang.cwl
and include a special first line, a shebang:
#!/usr/bin/env cwl-runner
cwlVersion: v1.2
class: CommandLineTool
inputs: []
outputs: []
# `true` is a Linux command that exits with exit code `0` (success).
baseCommand: "true"
Now you can make the file true_shebang.cwl
executable with chmod u+x
.
$ chmod u+x true.cwl
And finally you can execute it directly in the command-line and the program
specified in the shebang (cwl-runner
) will be used to execute the
rest of the file.
$ ./true_shebang.cwl
INFO /opt/hostedtoolcache/Python/3.9.13/x64/bin/cwl-runner 3.1.20220913185150
INFO Resolved './true_shebang.cwl' to 'file:///home/runner/work/user_guide/user_guide/src/_includes/cwl/true_shebang.cwl'
INFO [job true_shebang.cwl] /tmp/lhh8d2_e$ true
INFO [job true_shebang.cwl] completed success
{}
INFO Final process status is success
Note
The shebang is the two-character sequence #!
at the beginning of a
script. When the script is executable, the operating system will execute
the script using the executable specified after the shebang. It is
considered a good practice to use /usr/bin/env <executable>
since it
looks for the <executable>
program in the system PATH
, instead of
using a hard-coded location.
1.2.3. Text Editor#
You can use any text editor with CWL, but for syntax highlighting we recommend an editor with YAML support. Popular editors are Visual Studio Code, Sublime, WebStorm, vim/neovim, and Emacs.
There are extensions for Visual Studio Code and WebStorm that provide integration with CWL, with customized syntax highlighting and better auto-complete:
Visual Studio Code with the Benten (CWL) plugin - https://github.com/rabix/benten#install-vs-code-extension
cwl-plugin for IntelliJ - https://plugins.jetbrains.com/plugin/10040-cwl-plugin
The CWL community also maintains a list of editors and viewers: https://www.commonwl.org/#Editors_and_viewers
1.2.4. Docker#
cwltool
uses Docker to run workflows or workflow steps with containers.
Follow the instructions in the Docker documentation to install it for your
operating system: https://docs.docker.com/.
You do not need to know how to write and build Docker containers. In the rest of the user guide we will use existing Docker images for running examples, and to clarify the differences between the execution models with and without containers.
Note
cwltool
supports running containers with Docker, Podman, udocker, and
Singularity. You can also use alternative container registries for pulling
images.
1.2.5. Learn more#
The Implementations topic in the next section, Basic Concepts.
The Python
venv
module: https://docs.python.org/3/library/venv.html