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-0.9.1.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-0.9.1-py3-none-any.whl (2.2 MB view details)

Uploaded Python 3

File details

Details for the file ewokstomo-0.9.1.tar.gz.

File metadata

  • Download URL: ewokstomo-0.9.1.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-0.9.1.tar.gz
Algorithm Hash digest
SHA256 b2d5bef79424d0070bc686e02a0264a47b644964ace0e86dd2616b9f25851699
MD5 5773bde962b6feec234b75e50fdc276e
BLAKE2b-256 7ca9fa3a317ac1824197869c8106642843b2c48fb0827c4fecff0a220374d8a3

See more details on using hashes here.

File details

Details for the file ewokstomo-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: ewokstomo-0.9.1-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-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 24640baa9b25d458ed4a52d44fba2be7df254844e0b9314a2f9addac5232dbc8
MD5 8b3a1c7f8ada07fad1ee775a9a0632f6
BLAKE2b-256 d2ae7394b6492420d84005ee6bb07d57829f552fbcfc6127f779fe6d1c0a09ab

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