This is the code of http://fixmystreet.irisnet.be project stand at https://github.com/CIRB/django-fixmystreet.
It is a fork of http://fixmystreet.ca (https://github.com/visiblegovernment/django-fixmystreet), thank you to them for providing this great project !
This project in place use Urbis for map, search and locate engine (http://geoserver.gis.irisnet.be/).
First install docker and docker-compose.
$ git clone git@github.com:IMIO/django-fixmystreet.git
$ make docker-init
$ make docker-runIn deploy environment, settings are given by system environment variables.
Available variables:
ENV # environment that is running, supported values are local / dev / staging / production
MEDIA_ROOT # path to dynamic files upload location
GA_CODE # code Google Analytic
# database variables
DATABASE_ENGINE
DATABASE_NAME
DATABASE_USER
DATABASE_PASSWORD
DATABASE_PORT
DATABASE_HOSTTo generate po files, run the following command:
$ make messages
For sample data set loading:
$ env/bin/manage.py loaddata sample.json
$ cp -Rf media/photos-sample/ media/photos/
$ env/bin/manage.py testserver sample.json
$ env/bin/manage.py dumpdata mainapp.Report mainapp.ReportUpdate mainapp.ReportSubscriber --format json --indent 2 > mainapp/fixtures/sample.json
To generate data model image:
$ env/bin/manage.py graph_models fixmystreet -g -o data-model.png
Dump DB:
pg_dump fixmystreet -U fixmystreet > fixmystreet_dump.sql
Import dump DB:
dropdb fixmystreet -U postgres
createdb --template=template_postgis fixmystreet -U postgres -O fixmystreet
cat fixmystreet_dump.sql | psql -U fixmystreet