Further documentation available here
This template repository should be used as the base for new workflow repositories which will use the new Docker packaging scheme.
- Docker
- just
jq
(recommended)
just init
will install the correct version of cwltool
, jinja-cli
, and pre-commit
, be sure to have a python3.8+ virtual environment active.
just build-all
will build and validate all workflows in the repo.
The just
utility is a command runner replacement for make
.
It has various improvements over make
including the ability to list available command with just -l
:
Available recipes:
build WORKFLOW # Builds individual workflow
build-all # Builds all docker images for each directory with a justfile
init
pack WORKFLOW # Builds Docker for WORKFLOW and prints packed JSON
The root justfile
provides recipes for Dockerizing workflows locally, while workflow-level justfiles
provide recipes for building the workflow.
The workflow-level justfile
requires the ENTRY_CWL
path be updated.
# justfile
ENTRY_CWL := "workflow.cwl"
Certain recipes check if the ENTRY_CWL
file exists, and will show an error message if not.
Available recipes:
get-dockers # Formats and prints all Dockers used in workflow
get-dockers-template # Prints all dockerPull declarations in unformatted workflow
inputs # Print template input file for workflow
pack # Pack and apply Jinja templating. Creates cwl.json file
validate # Validates CWL workflow
Some important commands for workflow development:
just validate
will run cwltool's validation and show any errors in the CWL.
just inputs
will output a template input file for the workflow.
just get-dockers-template
will pack the workflow to JSON and print all unique dockerPull declarations.
This command is useful for building the dockers.json
file or finding un-templated image strings.
just get-dockers
will pack the workflow to JSON and apply the Docker formatting.
No template strings should remain after formatting.
For CommandLineTool workflows utilizing dockerPull
, the docker image should be specified in CWL as a jinja-compatible template string.
dockerPull: "{{ docker_repository }}/image_name:{{ image_name }}"
NOTICE: Double quotes required
Within each workflow's justfile
is the just pack
command which:
- Packs the CWL workflow into a temporary JSON file
- Uses
jinja-cli
and thedockers.json
file to replace each template string - Saves the result to
cwl.json
{
"docker_repository": "docker.osdc.io/ncigdc",
"image_name": "abcdef"
}
This JSON file combined with the example string above will result in a final string:
dockerPull: "docker.osdc.io/ncigdc/image_name:abcdef
in the packed cwl.json file.
While this prevents the CWL from being used directly, it enables easy updating of multiple Docker images for GPAS, and allows external users to supply their own images/tags.
The top level of the workflow repository should contain a justfile
, build.sh
script, and a .gitlab-ci.yml
config.
Small CWL scripts not specific to any workflow should be stored in a top-level tools
directory. These can include general shell commands and CommandLine
workflows to call bioinformatics tools.
NOTICE: This tools
directory will be copied to the root of the Docker image. Relative path references to CWL in tools will remain valid in both the repo filesystem and docker image filesystem.
Eventually these tooling CWL scripts will be stored in a common library.
The build.sh
script is used to automatically build and publish images in a CI environment.
The justfile
contains commands to locally build workflow images, run just -l
for a full list of commands.
Individual workflow CWL scripts should be stored within top-level directories named after the workflow.
Each workflow directory should also contain the template justfile and Dockerfile.
The ENTRY_CWL
should be updated with the path to the main workflow cwl script, relative to the workflow directory.
This CWL script will be used as the argument to the cwltool --pack
command, but can be overwritten using make pack ENTRY_CWL=...
The CWL scripts comprising a workflow can be stored under any manner of directory structure.
Ideally any CWL script referenced by another file is in the same directory or a subdirectory of the calling script. (Essentially do not traverse up a directory, only sideways and/or down).
This will enable moving an entire subdirectory, if needed, without needing to update any references contained within.
The Docker image for a CWL workflow should be based on the bio-alpine:cwltool3
image, which provides the bare minimum required to run the cwltool --pack
command.
Each feature branch commit will be published to the internal dev-containers.osdc.io
, still accessible via the docker.osdc.io
proxy.
Upon merging to main
or master
, the image(s) will be published to the permanent containers.osdc.io
and tagged with both the commit hash and a datetime-stamp.
Quay will be depreciated for new workflows and phased out for existing ones.