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By ULHPC License: CC BY-NC-SA 4.0 GitHub issues Github Build Status GitHub forks Github Stars deploy pages-build-deployment

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   Copyright (c) 2020-2022 S. Varrette and UL HPC Team <[email protected]>

This repository holds the ULHPC Technical Documentation, based on the mkdocs-material theme and the PyMdown Extensions. Inspired by the excellent NERSC Technical documentation.

Installation / Repository Setup

This repository is hosted on Github. To clone it, proceed as follows (adapt accordingly):

git clone https://github.com/ULHPC/ulhpc-docs.git # or for SSH interactions: git clone [email protected]:ULHPC/ulhpc-docs.git

To use the repository, you need to install some Python packages along with a compatible version of Python. If your system Python is compatible, simply install the packages in requirements.txt, ideally in a venv. For instance:

$ python3 -m venv "${HOME}/environments/ulhpc-docs"
$ source ~/environments/ulhpc-docs/bin/activate
$ pip install --upgrade pip
$ pip install --requirement requirements.txt

If your system Python is not compatible with the required packages, we suggest that you install Python in a Conda environment using the Micromamba package manager for Conda.

$ micromamba env create --name ulhpc-docs-python
$ micromamba install python=3.8 --channel conda-forge --name ulhpc-docs-python
  • You now have 2 options. First options is to install the required python packages directly in the Conda environment.
$ micromamba activate ulhpc-docs-python
$ pip install --upgrade pip
$ pip install --requirement requirements.txt
  • Alternatively, you can create a venv environment in which you install the packages.
$ micromamba run --name ulhpc-docs-python python -m venv "${HOME}/environments/ulhpc-docs"
$ source ~/environments/ulhpc-docs/bin/activate
$ pip install --upgrade pip
$ pip install --requirement requirements.txt

The ulhpc-docs venv environment will automatically use the Python installed in the Conda environment ulhpc-docs-python. In the later case you will no longer need to interact with the Conda environment, except perhaps for updating the Python executable.

Documentation

See docs/.

The documentation for this project is handled by mkdocs with the mkdocs-material theme and the PyMdown Extensions. You might wish to generate locally the docs (after setting up your local virtualenv) i.e. to preview the documentation from the project root directory by running:

mkdocs serve    # OR make doc

Then visit with your favorite browser the URL http://localhost:8000. Alternatively, you can run make doc at the root of the repository.

Reporting Issues / Feature request

You can submit bug / issues / feature request with our documentation using the ULHPC/ulhpc-docs Issue Tracker.

Software list

Several markdown files under docs/software/swsets/ reflect the state of the software modules available on the ULHPC platform. They respect the following directory structure:

docs/software/swsets/
    ├── all_softwares.md   list of all software ever built
    ├── <version>.md       software list in RESIF swset <version>
    ├── <category>.md      list of all software belonging to category '<category>'
    └── <category>/
    .   ├── <software>.md    short summary and available version for software <software>
    .   └── [...]            belonging to category <category>

These files are automatically generated by the Python script scripts/resif3_module2markdown.py:

$ ./scripts/resif3_module2markdown.py -h
Usage: resif3_module2markdown.py [OPTIONS] COMMAND [ARGS]...
[...]
Commands:
  collect  Collect meta-data dict of the RESIF3 modules installed and...
  render   Generate markdown files summarizing available ULHPC modules
  • ./scripts/resif3_module2markdown.py collect [...] is expected to by run on one of the cluster to access the RESIF root path /opt/apps/resif
    • use make resif-collect to perform the following operations:
      • upload the script and the necessary files on the cluster access frontend (see RESIF_COLLECT_HOST variable in .Makefile.local)
      • generate a virtualenv under RESIF_COLLECT_TMPDIR
      • invoke the script in collect mode to generate the YAML file RESIF_COLLECT_YAML
      • download the generated yaml and store it under data/resif_modules.yaml
  • ./scripts/resif3_module2markdown.py render [...] can be used locally to render/generate the markdown files based on the data stored in data/resif_modules.yaml
    • use make resif-render to perform this action

Contributors

The project was setup and populated by Sebastien Varrette, and received contributions from multiples persons -- see CONTRIBUTORS.md. To get up-to-date statistics, use

make stats

In all cases, you are more than welcome to contribute to the development of this project. In order to get started, check out the Contributing Guide

License

Unless otherwise specified, this project and the sources proposed within this repository are released under the terms of the CC BY-NC-SA 4.0 licence.