This web application lets the user search through a PACS meta data. The data needs to be stored on a Apache Solr instance.
To run the application, python 3.6 is needed. To manage the python environment Anaconda is the recommended way to manage different python versions.
Python libraries needed are noted in the requirements.txt
- Install solr, see the Solr website on how to do it
- Create a core with
solr create -c <core_name> - Delete the managed-schema file (path would be something like /usr/local/solr-6.2.1/server/solr/<core_name>/conf)
- Copy
import/schema/schema.xmlto the solr conf dir - In
solrconfig.xmlcheck/do- Remove any ManagedIndexSchemaFactory definition if it exists
- Add
<schemaFactory class="ClassicIndexSchemaFactory"/>
There is a settings.py file which holds all configuration options to setup
- Solr Url (default: http://localhost:8983/solr/pacs/query)
- DCMTK settings (only needed for Download/Transfer)
Create a directory called instance and create a file called config.cfg.
This holds all instance specifig configuration options.
An example would be:
DEBUG=False
# Don't show transfer and download options
DEMO=True
SOLR_HOSTNAME='solr'
SOLR_CORE_NAME='grouping'
To run the application run
python runserver.python
Another option is to use nodemon which also allows to reload on changes. The advantage is that even with compile errors the nodemon is still able to reload while the flask dev server crashes and needs to be manually restarted. To run with nodemon run
./run-dev.sh
python -m unittest
coverage run --source=. -m unittest
# generate console reports
coverage report
# generate html reports
coverage html -d coverage