For Conda environment:
- Create an environment specification file. Please follow this guide to create this file.
- Edit the file and remove all unnecessary dependencies (very important, otherwise the
it is easy to get inundated with too many packages). For example, remove things like
ipython,ipykernel, which are used for purpose other than the library itself. - Install this package.
- Run:
listcondalic conda environment.yml > output.jsonHere environment.yml should be the environment specification file.
The package licence information will be saved at output.json.
Note: We use liccheck internally to produce the analysis.
- Create your package specification file (e.g.
requirements.txt) including all the packages required. pipreqs is a good helping tool for this as well. - Install this package
- Run:
listcondalic pip requirements.txt > output.jsonThe package licence information will be saved at output.json.
This packages isn't quite clever yet:
- It tries to skip a few packages such as
python,setuptools,wheelandpip. Hopefully, we won't neglect any important packages. - It only understand very basic package specifications in the conda environment file.
Complicated package sources will likely create bugs in the result. In particular,
it does not suppoprt:
- "." (dot) package, or in general, if you specify a path to a local python package,
this library will not attempt to analyze the packaged located in that folder. Instead,
it will be registered as a package named, e.g. ".", and therefore it will report the
package's licence as
NotFound. - GitHub URL package, for reasons mentioned above.
- "." (dot) package, or in general, if you specify a path to a local python package,
this library will not attempt to analyze the packaged located in that folder. Instead,
it will be registered as a package named, e.g. ".", and therefore it will report the
package's licence as
For a pip-based requirements.txt:
name: Report licence status
on:
workflow_dispatch:
jobs:
check-using-pip:
name: Report using a pip environment
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@master
- name: Set up Python 3.7
uses: actions/setup-python@v1
with:
python-version: 3.7
- name: Install packages and listcondalic
run: |
pip install -r requirements.txt
pip install listcondalic
- name: Produce report
run: listcondalic pip requirements.txtFor a conda produced environment.yml:
name: Report licence status
on:
workflow_dispatch:
jobs:
check-using-conda:
name: Report using a conda environment
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@master
- name: Install conda and prepare the environment
uses: conda-incubator/setup-miniconda@v2
with:
activate-environment: YOUR_ENVIRONMENT_NAME
environment-file: environment.yml
python-version: 3.7
auto-activate-base: false
- name: Install listcondalic
shell: 'bash -l {0}' # this is required by the conda action
run: pip install listcondalic
- name: Produce report
shell: 'bash -l {0}' # this is required by the conda action
run: listcondalic conda environment.yml