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        "author": "V\u00e1clav Rak",
        "author_email": "rak@webeye.services",
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            "Framework :: Django",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Atmospheric Science",
            "Topic :: System :: Logging",
            "Topic :: System :: Monitoring"
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        "description": "=====\nDjango Giom Meteostation\n=====\n\nRead data from GIOM Meteo Station. This is proprietary software used by WebEye.services\n\n\nQuick start\n-----------\n\n1. Add \"dust_sensor\" to your INSTALLED_APPS setting like this::\n\n    INSTALLED_APPS = (\n        ...\n        'giom_data',\n    )\n\n2. Include the polls URLconf in your project urls.py like this::\n\n    url(r'^giom/', include('giom.urls')),\n\n3. update settings\n    - GIOM_URL: giom url to gather data\n\n4. set up loggers\n    - for fluentd or td-agent  use handler name fluend.giom\n    - for django human readable logger handler use django.giom\n\n5. add celery beat schedule settings\n\n    CELERYBEAT_SCHEDULE = {\n        'refresh_giom_data': {\n            'task': 'giom.tasks.refresh_giom_data',\n            'schedule': timedelta(minutes=1)\n        }\n    }\n\n\n\n6. Run `python manage.py migrate` to create the giom models.",
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        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "django-giom",
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        "summary": "django GIOM meteo station data reader celery based measure tool",
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