timlinux / docker-geosafe

Geosafe deployment in docker

Geosafe Deployment

How to build stuffs happily

Update all submodules to retrieve all the codes

git submodule init
git submodule update

Build geonode image

cd src/geonode
make build
make up
make down

We need to create new tag for newly built images of geonode/django (so it doesn't try to fetch it again from dockerhub) This new tagged image will then be used in our entire architecture orchestration next.

docker tag geonode/django geonode_django

Build all images

You can override docker-compose variable by creating docker-compose.override.yml. A sample file can be seen in docker-compose.override.yml.sample. Typical configuration is to redirect exposed ports. Or enable Pycharm Debugging

cd deployment
make build
make up
make sync

You can view geonode in the exposed port (default 80).

Logging

Available logging view command

make geosafe-log
make geosafe-celery-log
make inasafe-headless-log

PyCharm SSH Orchestration

Copy docker-compose.overrida.sample.yml as docker-compose.override.yml. This compose file will override some configuration to use in deployment. Some notable settings is ports and commands. This settings will enable ssh ready container for django, celery, and inasafe-headless.

Create 3 Remote Interpreter in PyCharm with corresponding services:

Geosafe

Use ssh port from django service. /usr/local/bin/python for interpreter path. Username root. Password docker. Set unique name and include path mappings:

• src/geonode --> /usr/src/app
• src/core --> /usr/src/core
• src/geonode_qgis_server/geonode_qgis_server --> /usr/src/geonode_qgis_server
• src/geosafe --> /usr/src/geosafe

Geosafe Celery

Pretty much the same with Geosafe, but with corresponding ports for celery service.

InaSAFE-Headless

Use ssh port from inasafe-headless service. /usr/bin/python for interpreter path. Username root. Password docker. Set unique name and include path mappings:

• src/inasafe --> /home/src/inasafe

After creating 3 Remote Interpreter, create 3 corresponding python configuration:

Geosafe

Script: manage.py Script Parameter: runserver 0.0.0.0:8000 Interpreter: Geosafe Interpreter Environment: Copy and paste environment from the output of execution make geosafe-env. You can just copy the whole environment and paste it in environment dialog in configuration modal page.

Geosafe Celery

Script: /usr/local/bin/celery Script Parameter: -A geosafe worker -l debug -Q default,cleanup,email,update,geosafe -n geonode.%h -B Interpreter Gesafe Celery Interpreter Environment: Do the same like in Geosafe Environment, but execute make geosafe-celery-env

InaSAFE-Headless

Script: /usr/local/bin/celery Script Parameter: -A headless.celery_app worker -l info -Q inasafe-headless -n inasafe-headless.%h Interpreter InaSAFE-Headless Interpreter Environment: Do the same like in Geosafe Environment, but execute make inasafe-headless-env

After creating this runtime configuration. You can up the services and proceed to run/debug the configuration using PyCharm commands

Known Issue

If the QGIS Server doesn't work (e.g. you upload a layer, and geonode doesn't the layer), one of the problem is permission problem. You can fix it by giving permission to write in the qgis_layer directory. For example: sudo chmod -R +066 qgis_layer/