Create/parse RO-Crate (Research Object Crate) metadata.
Supports specification: RO-Crate 1.0
Status: Alpha
Source code: https://github.com/researchobject/ro-crate-py
Feel free to raise a pull request at https://github.com/researchobject/ro-crate-py/pulls or an issue at https://github.com/researchobject/ro-crate-py/issues.
Submitted contributions are assumed to be covered by section 5 of the Apache License 2.0.
For development, you can build a Docker image with:
docker build -t ro-crate-py .
And then run it interactively with:
docker run --rm -it --name ro-crate-py ro-crate-py bash
You will need Python 3.6 or later (Recommended: 3.7).
This library is easiest to install using pip:
pip install rocrate
If you want to install manually from this code base, then try:
pip install .
..or if you use don't use pip
:
python setup.py install
The standard use case is by instantiating ROCrate
. This can be a new one:
crate = ROCrate()
or an existing RO-Crate package can be load from a directory or zip file:
crate = ROCrate('/path/to/crate/')
crate = ROCrate('/path/to/crate/file.zip')
In addition, there is a set of higher level functions in the form of an interface to help users create some predefined types of crates. As an example here is the code to create a workflow RO-Crate, containing a workflow template. This is a good starting point if you want to wrap up a workflow template to register at workflowhub.eu:
from rocrate import rocrate_api
wf_path = "test/test-data/test_galaxy_wf.ga"
files_list = ["test/test-data/test_file_galaxy.txt"]
# Create base package
wf_crate = rocrate_api.make_workflow_rocrate(workflow_path=wf_path,wf_type="Galaxy",include_files=files_list)
# Write to zip file
out_path = "/home/test_user/wf_crate"
wf_crate.write_zip(out_path)
Independently of the initialization method, once an instance of ROCrate
is created it can be manipulated to extend the content and metadata.
Data entities can be added with:
## adding a File entity:
sample_file = '/path/to/sample_file.txt'
file_entity = crate.add_file(sample_file)
# Adding a File entity with a reference to an external (absolute) URI
remote_file = crate.add_file('https://github.com/ResearchObject/ro-crate-py/blob/master/test/test-data/test_galaxy_wf.ga', fetch_remote = False)
# adding a Dataset
sample_dir = '/path/to/dir'
dataset_entity = crate.add_directory(sample_dir, 'relative/rocrate/path')
Contextual entities are used in an RO-Crate to adequately describe a Data Entity. The following example shows how to add them to the RO-Crate root:
# Add authors info
joe_metadata = {'name': 'Joe Bloggs'}
crate.add_person('#joe', joe_metadata)
In order to write the crate object contents to a zip file package or a decompressed directory, there are 2 write methods that can be used:
# Write to zip file
out_path = "/home/test_user/crate"
crate.write_zip(out_path)
# write crate to disk
out_path = "/home/test_user/crate_base"
crate.write_crate(out_path)
- © 2019-2020 The University of Manchester, UK
- © 2020 Vlaams Instituut voor Biotechnologie (VIB), BE
- © 2020 Barcelona Supercomputing Center (BSC), ES
Licensed under the
Apache License, version 2.0 https://www.apache.org/licenses/LICENSE-2.0,
see the file LICENSE.txt
for details.