Metadata-Version: 2.0
Name: django-dust-sensor
Version: 0.2.28
Summary: django dust sensor celery based measure tool
Home-page: https://webeye.services/
Author: Václav Rak
Author-email: rak@webeye.services
License: MIT License
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: System :: Monitoring
Classifier: Topic :: System :: Logging
Classifier: Framework :: Django
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7

=====
Django DUST sensor
=====

Read data from dust sensor connected via RPi Serial port. This is proprietary software for customized hardware used by WebEye.services


Quick start
-----------

1. Add "dust_sensor" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = (
        ...
        'dust_sensor',
    )

2. Include the polls URLconf in your project urls.py like this::

    url(r'^dust_sensor/', include('dust_sensor.urls')),

3. update settings
        - DUST_SENSOR_VENTIOLATION_GPIO: number of GPIO to enable/disable ventilation
        - DUST_SENSOR_SERIAL_PORT: should be "/dev/ttyAMA0"
        - DUST_SENSOR_SERIAL_SPEED: should be 9600

4. set up loggers
    for fluentd or td-agent  use handler name fluend.dust_sensor
    for django human readable logger handler use django.dust_sensor

5. add celery beat schedule settings

    CELERYBEAT_SCHEDULE = {
        'refresh_dust_measure': {
            'task': 'dust_sensor.tasks.refresh_dust_measure',
            'schedule': timedelta(minutes=1)
        }
    }


6. Run `python manage.py migrate` to create the polls models.

7. Start the development server and visit http://127.0.0.1:8000/admin/
   to create a poll (you'll need the Admin app enabled).

8. Visit http://127.0.0.1:8000/dust_sensor/ to read data.

