A (django) web application for analyzing immunohistochemistry images. As this project progresses, we will try to use continuous integration to deploy to a demo application. However, in the early stages of this project, this may or may not be operational.
As a django project, there are many steps that are taken by interacting with
the manage.py file. This section aims to help explain steps with manage.py
to help with the reproducibility of the production environment.
git clone <this repo>
cd ./<this repo>
pip install -r requirements.txt
You will need to have a database for setup. Enter this information
in the usual django settings file. We've placed an example, settings_example.py.
Up to this point, we've downloaded the source code and installed the required python packages. Let's now initialize our database (note this requires sqlite to be installed on the host machine).
python manage.py makemigrations analytics
python manage.py migrate
Now we'll want to populate our database with data useful for the application. To do this:
python manage.py loaddata analytics/fixtures/*.json
python preload_analytics_models.py
At this point, we've loaded our database, now we'd like to add a user and fire up a test server.
python manage.py createsuperuser
python manage.py runserver 0.0.0.0:8000
You should now be able to see the application here: 0.0.0.0:8000
docker build -t lap .
docker run -it \
-p 8000:8000 \
-v $(pwd):/ihc-image-analysis \
lap bash
docker run -d \
-p 8000:8000 \
-v $(pwd):/ihc-image-analysis \
--restart always \
lap