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An Orthanc python plugin based framework to extend Orthanc's feature set with testable Python scripts

Project description

Orthanc Server Extensions

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A simple Orthanc python plugin based event processing framework to extend Orthanc’s feature set. It focuses on integration and orchestration, like study routing, event notifications and audit logging.

Features

  • easily plug event handling scripts for all Orthanc’s change events -

  • chain functions into a pipeline (composition)

  • run asyncio functions (coroutines) for concurrent processing of a change event

  • run (integration) tests for your Orthanc python scripts

  • publish events to Kafka, RabbitMQ and NATS

Modules

  • auto_retries: retry failed jobs

  • auto_forward: forward DICOM to external systems based on python match functions

  • anonymization: anonymize DICOM Series using the Orthanc API

Why this library was written

Improve developer happiness: the development roundtrip is just a little bit long to build, run and test a function, even with Docker. With this library, you can start from the unit tests, move to integration tests, and then deploy the result in the Docker image.

Enable testability: the Orthanc API is provided as a module which is not easy to mock in a clean way. Orthanc server extensions provide a few simple abstractions that keep functions clean and independently testable.

Improve performance: async functions will be executed concurrently, which is advantageous if the processing is I/O bound.

Httpx was chosen as a base library to access the Orthanc API, rather than orthanc.RestApi*, because it is well known, developer friendly, and external API access avoids deadlocks in the Python plugin (before this was solved in 3.1).

Running

entry_point.py provides the first boilerplate to get started. Run it by issuing docker-compose up --build; you should be greeted with ‘orthanc started event handled!’ message, which is also published to

Developing

Write your event handling scripts and register them in event_dispatcher.register_event_handlers(). Examples, including the use of async functions and function composition (pipeline), can be found in tests/test_event_dispatcher.py.

Credits

This project would obviously not exist without Orthanc, its documentation and its community.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

3.5.0 (2023-10-12)

  • Support pyOrthanc as Orthanc API client

3.4.0 (2023-06-21)

  • Improved asyncio performance

3.3.0 (2023-01-30)

  • Publish Orthanc change events to Kafka, RabbitMQ and NATS

  • Run asyncio functions (coroutines) for concurrent processing of a change event

  • Chain functions into a pipeline (composition)

3.2.8 (2021-09-18)

  • get_metadata_of_first_instance_of_series() now propagates http errors if /instances call fails.

3.2.7 (2021-09-17)

  • Small resilience fix for httpx (more conservative timeouts)

  • get_metadata_of_first_instance_of_series() will now return None for unknown keys

3.2.6 (2021-09-16)

  • Replace requests/responses library by httpx/respx

  • Add support for anonymization and re-identification using study merge

  • Many smaller and bigger refactorings

  • Dependency updates

3.1.1 (2021-02-11)

  • Add DICOM auto forwarding sample with retries

3.1.0 (2021-02-07)

  • Improved logging, aligned log format and levels with Orthanc.

0.1.0 (2021-01-09)

  • First release on PyPI.

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