Skip to main content

Library used to execute workflows (in CWL) and benchmark them as part of the Workflomics ecosystem.

Project description

Workflomics Benchmarker

Workflomics Benchmarker is a library designed for executing and benchmarking workflows provided in Common Workflow Language (CWL) within the Workflomics ecosystem.

Detailed user documentation is available on readthedocs.

Badges

Description Badge
Packages and Releases Latest release PyPI
DOI DOI
License GitHub license
OS Support
Requirements

Requirements

  • Python 3.9 or higher
  • Docker or Singularity

NOTE: Workflomics Benchmarker is will run on Linux and macOS without any additional configuration. However, Windows users need to use Windows Subsystem for Linux (WSL) to run the tool (see MS Windows users).

Optional:

  • Poetry (if you want to build the package from source)

Installation

Create a virtual environment and install the required packages:

python3 -m venv workflomics-env      # Create a virtual environment named 'env' in the current directory
source workflomics-env/bin/activate  # Activate environment before installing `workflomics`

Install workflomics-benchmarker from PyPI using pip:

pip install workflomics-benchmarker 

Alternatively, you clone the repository and can install it using Poetry by running:

git clone https://github.com/workflomics/workflomics-benchmarker.git
cd workflomics-benchmarker
poetry install 

MS Windows users

  1. Install Windows Subsystem for Linux 2 and Docker Desktop.
  2. Install Debian from the Microsoft Store.
  3. Set Debian as your default WSL 2 distro: wsl --set-default debian.
  4. Return to the Docker Desktop, choose SettingsResourcesWSL Integration and under "Enable integration with additional distros" select "Debian",
  5. Reboot if you have not yet already.
  6. Launch Debian and follow the Linux instructions above (pip install workflomics-benchmarker)

Network problems from within WSL2? Try these instructions <https://github.com/microsoft/WSL/issues/4731#issuecomment-702176954>_ followed by wsl --shutdown.

Usage

Ensure Docker or Singularity is running before executing workflows. Here are the commands for both services:

Docker

workflomics benchmark tests/data/ 

Or directly with Python:

python src/benchmarker/workflomics.py benchmark tests/data/ 

The results will be saved in the ./tests/data directory.

Singularity

To use Singularity, ensure it's installed and append the --singularity flag:

python src/benchmarker/workflomics.py benchmark tests/data/ --singularity 

Testing

Run the following command to execute tests:

poetry run pytest -s 

This command runs a workflow and benchmarks it, assuming Docker is operational. Results are stored in the ./tests/data directory.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

workflomics_benchmarker-0.2.0.tar.gz (17.6 kB view hashes)

Uploaded Source

Built Distribution

workflomics_benchmarker-0.2.0-py3-none-any.whl (20.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page