nf-core/tools API documentation
Automated documentation for nf-core/tools (1.13.1
)
conda_env_yaml
PipelineLint.conda_env_yaml()
Checks that the conda environment file is valid.
This test is ignored if there is not an environment.yml
file present in the pipeline root directory.
DSL1 nf-core pipelines use a single Conda environment to manage all software
dependencies for a workflow. This can be used directly with -profile conda
and is also used in the Dockerfile
to build a docker image.
This test checks the conda environment.yml
file to ensure that it follows nf-core guidelines.
Each dependency is checked using the Anaconda API service.
Dependency sublists are ignored with the exception of - pip
: these packages are also checked
for pinned version numbers and checked using the PyPI JSON API.
Specifically, this lint test makes sure that:
- The environment
name
must match the pipeline name and version- The pipeline name is defined in the config variable
manifest.name
- Replace the slash with a hyphen as environment names shouldn’t contain that character
- Example: For
nf-core/test
version 1.4, the conda environment name should benf-core-test-1.4
- The pipeline name is defined in the config variable
- All package dependencies have a specific version number pinned
Warning
Remember that Conda package versions should be pinned with one equals sign (
toolname=1.1
), but pip uses two (toolname==1.2
) - That package versions can be found and are the latest available
- Test will go through all conda channels listed in the file, or check PyPI if
pip
- Conda dependencies with pinned channels (eg.
conda-forge::openjdk
) are ok too - In addition to the package name, the pinned version is checked
- If a newer version is available, a warning will be reported
- Test will go through all conda channels listed in the file, or check PyPI if