Skip to main content

Data processing workflows for Tomography

Project description

ewokstomo

The ewokstomo project is a Python library designed to provide workflow tasks for Tomographic Data Processing using Ewoks (Extensible Workflow System).

Installation

By default, at the ESRF, ewokstomo should be installed on Ewoks workers using an Ansible script by the DAU team. If you wish to install ewokstomo manually, ensure you have Python 3.10+ and pip installed. You can install the library directly from PyPI:

pip install ewokstomo

Alternatively, to install from source, clone this repository and run:

git clone https://gitlab.esrf.fr/workflow/ewoksapps/ewokstomo.git
cd ewokstomo
pip install -e .

Quickstart Guide

Running an ewokstomo Workflow

Most of the time, the workflow will be automatically ran from the Bliss control system. However if you wish to execute the workflow by hand, you can use the following:

ewoks execute workflow.json

Some examples of workflow are found in ewokstomo/workflows

How-To Guides

For detailed instructions on various tasks, please refer to the How-To Guides in the documentation, which cover topics such as:

  • Configuration of tomography workflows
  • Running workflows locally for testing
  • Using the API to run specific tasks (e.g., NXtomo conversion, reconstruction)

Documentation

Comprehensive documentation, including an API reference, tutorials, and conceptual explanations, can be found in the doc directory or online at the ReadTheDocs page.

Contributing

Contributions are welcome! To contribute, please:

  1. Clone the repository and create a new branch for your feature or fix.
  2. Write tests and ensure that the code is well-documented.
  3. Submit a merge request for review.

See the CONTRIBUTING.md file for more details.

License

This project is licensed under the MIT License. See the LICENSE.md file for details.

Support

If you have any questions or issues, please open an issue on the GitLab repository or contact the support team via a data processing request ticket.

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

ewokstomo-0.7.0.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ewokstomo-0.7.0-py3-none-any.whl (2.2 MB view details)

Uploaded Python 3

File details

Details for the file ewokstomo-0.7.0.tar.gz.

File metadata

  • Download URL: ewokstomo-0.7.0.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for ewokstomo-0.7.0.tar.gz
Algorithm Hash digest
SHA256 cfdd290321289ef7619b9764ede66499f9e53168899070639c86f4e37f8484f6
MD5 88c14caf444be28c3e94938633bd62b3
BLAKE2b-256 fb71689723128548654134664c85e4ef68f5707c8d061ccc3c21b4ec01b47994

See more details on using hashes here.

File details

Details for the file ewokstomo-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: ewokstomo-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for ewokstomo-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 12e0060442594216538d0db637e176832929b9034e32439e186a7632ada6f047
MD5 dc55bc41eb4bcac1db3542b96909a0f1
BLAKE2b-256 e83065527418ead9bfda21a45a72ab8c256a3dfc1ac2424018a952623e9f3bd5

See more details on using hashes here.

Supported by

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