User documentation can be found at http://code.databio.org/episb
FLASK_APP="main.py" flask run
Point browser to http://localhost:8888/
To build the episb-hub container locally and test, follow these steps:
- In the same directory as the
Dockerfile
:
$ docker build -t <docker image>:<tag optional> .
- Run the container from the image you just built:
$ docker run -d -p 80:80 --rm --name episb-hub <docker image>:<tag>
-
Interact with and preview the site: http://localhost/
-
When done, stop the container:
$ docker stop episb-hub
To run the container and have it reflect the changes, use the Dockerfile_dev to build the image:
$ docker build -f Dockerfile_dev -t episb .
To run the container:
$ docker run -v /path/to/host/episb-hub:/app -p 80:80 --rm --name episb-hub -e FLASK_APP=main.py -e FLASK_DEBUG=1 episb flask run --host=0.0.0.0 --port=80
Now the development container will be viewable on your localhost
and update with any changes you make.
Note that this site requires ElasticSearch indices as a data provider for regions, experiments, segmentations, etc. Flask looks for ES indices at port 8080 of the localhost.
These docs can be rendered locally for development with:
mkdocs serve -f mkdocs.yml
And can be built for deploy with:
RENDERED_DIR="$CODEBASE/code.databio.org/episb"
mkdocs build -f episb-docs/mkdocs.yml -d "$RENDERED_DIR"
Or by running update_docs.sh
.