pl-dylld
is a ChRIS
ds plugin which connects to a parent node containing DICOM images and then dynamically creates a responsive compute flow (including joins). In its output directory, pl-dylld
generates various logging/tracking data.
The documentation for entire LLD workflow along with step by step data flow in each of the compute nodes can be found here https://github.com/FNNDSC/CHRIS_docs/blob/master/workflows/LLD.md
Automatically calculating the lengths of human legs from XRay images can substantially improve radiological diagnosis time.
pl-dylld
is a ChRIS plugin, meaning it can
run from either within ChRIS or the command-line.
To get started with local command-line usage, use Apptainer
(a.k.a. Singularity) to run pl-dylld
as a container:
singularity exec docker://fnndsc/pl-dylld dylld [--args values...] input/ output/
To print its available options, run:
singularity exec docker://fnndsc/pl-dylld dylld --help
dylld
requires two positional arguments: a directory containing
input data, and a directory where to create output data.
First, create the input directory and move input data into it.
mkdir incoming/ outgoing/
mv some.dat other.dat incoming/
singularity exec docker://fnndsc/pl-dylld:latest dylld [--args] incoming/ outgoing/
Instructions for developers.
Build a local container image:
docker build -t localhost/fnndsc/pl-dylld .
Mount the source code dylld.py
into a container to try out changes without rebuild.
docker run --rm -it --userns=host \
-v $PWD/dylld.py:/usr/local/lib/python3.11/site-packages/dylld.py:ro \
-v $PWD/control:/usr/local/lib/python3.11/site-packages/control:ro \
-v $PWD/logic:/usr/local/lib/python3.11/site-packages/logic:ro \
-v $PWD/state:/usr/local/lib/python3.11/site-packages/state:ro \
-v $PWD/in:/incoming:ro -v $PWD/out:/outgoing:rw -w /outgoing \
localhost/fnndsc/pl-dylld dylld /incoming /outgoing
Run unit tests using pytest
.
It's recommended to rebuild the image to ensure that sources are up-to-date.
Use the option --build-arg extras_require=dev
to install extra dependencies for testing.
docker build -t localhost/fnndsc/pl-dylld:dev --build-arg extras_require=dev .
docker run --rm -it localhost/fnndsc/pl-dylld:dev pytest
Steps for release can be automated by Github Actions. This section is about how to do those steps manually.
Increase the version number in setup.py
and commit this file.
Build and push an image tagged by the version. For example, for version 1.2.3
:
docker build -t docker.io/fnndsc/pl-dylld:1.2.3 .
docker push docker.io/fnndsc/pl-dylld:1.2.3
Run chris_plugin_info
to produce a JSON description of this plugin, which can be uploaded to a ChRIS Store.
docker run --rm localhost/fnndsc/pl-dylld:dev chris_plugin_info > chris_plugin_info.json