django GIOM meteo station data reader celery based measure tool
Project description
=====
Django Giom Meteostation
=====
Read data from GIOM Meteo Station. This is proprietary software used by WebEye.services
Quick start
-----------
1. Add "dust_sensor" to your INSTALLED_APPS setting like this::
INSTALLED_APPS = (
...
'giom_data',
)
2. Include the polls URLconf in your project urls.py like this::
url(r'^giom/', include('giom.urls')),
3. update settings
- GIOM_URL: giom url to gather data
4. set up loggers
- for fluentd or td-agent use handler name fluend.giom
- for django human readable logger handler use django.giom
5. add celery beat schedule settings
CELERYBEAT_SCHEDULE = {
'refresh_giom_data': {
'task': 'giom.tasks.refresh_giom_data',
'schedule': timedelta(minutes=1)
}
}
6. Run `python manage.py migrate` to create the giom models.
Django Giom Meteostation
=====
Read data from GIOM Meteo Station. This is proprietary software used by WebEye.services
Quick start
-----------
1. Add "dust_sensor" to your INSTALLED_APPS setting like this::
INSTALLED_APPS = (
...
'giom_data',
)
2. Include the polls URLconf in your project urls.py like this::
url(r'^giom/', include('giom.urls')),
3. update settings
- GIOM_URL: giom url to gather data
4. set up loggers
- for fluentd or td-agent use handler name fluend.giom
- for django human readable logger handler use django.giom
5. add celery beat schedule settings
CELERYBEAT_SCHEDULE = {
'refresh_giom_data': {
'task': 'giom.tasks.refresh_giom_data',
'schedule': timedelta(minutes=1)
}
}
6. Run `python manage.py migrate` to create the giom models.
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