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Shared volume utilities for BDM solutions.

Project description

Python PyPI GH-CI Codecov APACHE Ruff

Overview

The ansys-bdm-shared-volume package provides a concrete implementation of the Blob Data Management (BDM) interface defined by ansys-bdm-api. It uses a networked shared file-system volume as the underlying storage backend.

Within the SAF ecosystem, this package enables GLOW-based solutions to manage files and directories through the standard BDM abstractions while storing data on a shared volume that is accessible across processes and machines. This makes it well suited for desktop deployments and on-premises environments where a common network drive or local shared folder is available.

Key capabilities include:

  • Implementation of StorageScope and AsyncStorageScope for synchronous and asynchronous file operations.

  • Automatic tracking and cleanup of cached entities when a storage scope exits.

  • Factory utilities for creating storage scopes from configuration.

By plugging into the BDM layer, the shared-volume backend allows solution code to remain storage-agnostic: the same workflow logic can run against this backend during local development and against other BDM backends in cloud or distributed deployments.

Troubleshooting

For troubleshooting or reporting issues, please open an issue in the project repository.

Please follow these steps to report an issue:

  • Go to the project repository.

  • Click on the Issues tab.

  • Click on the New Issue button.

  • Provide a clear and detailed description of the issue you are facing.

  • Include any relevant error messages, code snippets, or screenshots.

Additionally, you can refer to the official documentation for additional resources and troubleshooting guides.

License

You can find the full text of the license in the LICENSE file.

Changelog

The changelog section provides a summary of notable changes for each version of BDM Shared Volume for Python. It helps you keep track of updates, bug fixes, new features, and improvements made to the project over time.

To view the complete changelog, visit the project repository and navigate to the CHANGELOG file. It provides a comprehensive list of changes categorized by version, along with brief descriptions of each change.

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