# serializer version: 1
# name: test_entry_diagnostics
  dict({
    'data': dict({
      'allergy_average_forecasted': dict({
        'ForecastDate': '2018-06-12T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Index': 6.6,
              'Period': '2018-06-12T13:47:12.897',
            }),
            dict({
              'Index': 6.3,
              'Period': '2018-06-13T13:47:12.897',
            }),
            dict({
              'Index': 7.6,
              'Period': '2018-06-14T13:47:12.897',
            }),
            dict({
              'Index': 7.6,
              'Period': '2018-06-15T13:47:12.897',
            }),
            dict({
              'Index': 7.3,
              'Period': '2018-06-16T13:47:12.897',
            }),
          ]),
        }),
        'Type': 'pollen',
      }),
      'allergy_index': dict({
        'ForecastDate': '2018-06-12T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Index': 7.2,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
                dict({
                  'Genus': 'Juniperus',
                  'LGID': 272,
                  'Name': 'Juniper',
                  'PlantType': 'Tree',
                }),
                dict({
                  'Genus': 'Grasses',
                  'LGID': 346,
                  'Name': 'Grasses',
                  'PlantType': 'Grass',
                }),
                dict({
                  'Genus': 'Chenopods',
                  'LGID': 63,
                  'Name': 'Chenopods',
                  'PlantType': 'Ragweed',
                }),
              ]),
              'Type': 'Yesterday',
            }),
            dict({
              'Index': 6.6,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
                dict({
                  'Genus': 'Juniperus',
                  'LGID': 272,
                  'Name': 'Juniper',
                  'PlantType': 'Tree',
                }),
                dict({
                  'Genus': 'Grasses',
                  'LGID': 346,
                  'Name': 'Grasses',
                  'PlantType': 'Grass',
                }),
                dict({
                  'Genus': 'Chenopods',
                  'LGID': 63,
                  'Name': 'Chenopods',
                  'PlantType': 'Ragweed',
                }),
              ]),
              'Type': 'Today',
            }),
            dict({
              'Index': 6.3,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
                dict({
                  'Genus': 'Juniperus',
                  'LGID': 272,
                  'Name': 'Juniper',
                  'PlantType': 'Tree',
                }),
                dict({
                  'Genus': 'Grasses',
                  'LGID': 346,
                  'Name': 'Grasses',
                  'PlantType': 'Grass',
                }),
                dict({
                  'Genus': 'Chenopods',
                  'LGID': 63,
                  'Name': 'Chenopods',
                  'PlantType': 'Ragweed',
                }),
              ]),
              'Type': 'Tomorrow',
            }),
          ]),
        }),
        'Type': 'pollen',
      }),
      'allergy_outlook': dict({
        'Market': '**REDACTED**',
        'Outlook': 'The amount of pollen in the air for Wednesday...',
        'Season': 'Tree',
        'Trend': 'subsiding',
        'TrendID': 4,
        'ZIP': '**REDACTED**',
      }),
      'asthma_average_forecasted': dict({
        'ForecastDate': '2018-10-28T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Idx': '4.5',
              'Index': 4.5,
              'Period': '2018-10-28T05:45:01.45',
            }),
            dict({
              'Idx': '4.7',
              'Index': 4.7,
              'Period': '2018-10-29T05:45:01.45',
            }),
            dict({
              'Idx': '5.0',
              'Index': 5,
              'Period': '2018-10-30T05:45:01.45',
            }),
            dict({
              'Idx': '5.2',
              'Index': 5.2,
              'Period': '2018-10-31T05:45:01.45',
            }),
            dict({
              'Idx': '5.5',
              'Index': 5.5,
              'Period': '2018-11-01T05:45:01.45',
            }),
          ]),
        }),
        'Type': 'asthma',
      }),
      'asthma_index': dict({
        'ForecastDate': '2018-10-29T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Idx': '4.1',
              'Index': 4.1,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
                dict({
                  'Description': 'Ozone (O3) is a odorless, colorless ....',
                  'LGID': 1,
                  'Name': 'OZONE',
                  'PPM': 42,
                }),
                dict({
                  'Description': 'Fine particles (PM2.5) are 2.5 ...',
                  'LGID': 1,
                  'Name': 'PM2.5',
                  'PPM': 30,
                }),
                dict({
                  'Description': 'Coarse dust particles (PM10) are 2.5 ...',
                  'LGID': 1,
                  'Name': 'PM10',
                  'PPM': 19,
                }),
              ]),
              'Type': 'Yesterday',
            }),
            dict({
              'Idx': '4.5',
              'Index': 4.5,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
                dict({
                  'Description': 'Fine particles (PM2.5) are 2.5 ...',
                  'LGID': 3,
                  'Name': 'PM2.5',
                  'PPM': 105,
                }),
                dict({
                  'Description': 'Coarse dust particles (PM10) are 2.5 ...',
                  'LGID': 2,
                  'Name': 'PM10',
                  'PPM': 65,
                }),
                dict({
                  'Description': 'Ozone (O3) is a odorless, colorless ...',
                  'LGID': 1,
                  'Name': 'OZONE',
                  'PPM': 42,
                }),
              ]),
              'Type': 'Today',
            }),
            dict({
              'Idx': '4.6',
              'Index': 4.6,
              'Period': '0001-01-01T00:00:00',
              'Triggers': list([
              ]),
              'Type': 'Tomorrow',
            }),
          ]),
        }),
        'Type': 'asthma',
      }),
      'disease_average_forecasted': dict({
        'ForecastDate': '2018-06-12T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Index': 2.4,
              'Period': '2018-06-12T05:13:51.817',
            }),
            dict({
              'Index': 2.5,
              'Period': '2018-06-13T05:13:51.817',
            }),
            dict({
              'Index': 2.5,
              'Period': '2018-06-14T05:13:51.817',
            }),
            dict({
              'Index': 2.5,
              'Period': '2018-06-15T05:13:51.817',
            }),
          ]),
        }),
        'Type': 'cold',
      }),
      'disease_index': dict({
        'ForecastDate': '2019-04-07T00:00:00-04:00',
        'Location': dict({
          'City': '**REDACTED**',
          'DisplayLocation': '**REDACTED**',
          'State': '**REDACTED**',
          'ZIP': '**REDACTED**',
          'periods': list([
            dict({
              'Idx': '6.8',
              'Index': 6.8,
              'Period': '2019-04-06T00:00:00',
              'Triggers': list([
                dict({
                  'Description': 'Influenza',
                  'Idx': '3.1',
                  'Index': 3.1,
                  'Name': 'Flu',
                }),
                dict({
                  'Description': 'High Fever',
                  'Idx': '6.2',
                  'Index': 6.2,
                  'Name': 'Fever',
                }),
                dict({
                  'Description': 'Strep & Sore throat',
                  'Idx': '5.2',
                  'Index': 5.2,
                  'Name': 'Strep',
                }),
                dict({
                  'Description': 'Cough',
                  'Idx': '7.8',
                  'Index': 7.8,
                  'Name': 'Cough',
                }),
              ]),
              'Type': 'Yesterday',
            }),
            dict({
              'Idx': '6.7',
              'Index': 6.7,
              'Period': '2019-04-07T03:52:58',
              'Triggers': list([
                dict({
                  'Description': 'Influenza',
                  'Idx': '3.1',
                  'Index': 3.1,
                  'Name': 'Flu',
                }),
                dict({
                  'Description': 'High Fever',
                  'Idx': '5.9',
                  'Index': 5.9,
                  'Name': 'Fever',
                }),
                dict({
                  'Description': 'Strep & Sore throat',
                  'Idx': '5.1',
                  'Index': 5.1,
                  'Name': 'Strep',
                }),
                dict({
                  'Description': 'Cough',
                  'Idx': '7.7',
                  'Index': 7.7,
                  'Name': 'Cough',
                }),
              ]),
              'Type': 'Today',
            }),
          ]),
        }),
        'Type': 'cold',
      }),
    }),
    'entry': dict({
      'data': dict({
        'zip_code': '**REDACTED**',
      }),
      'disabled_by': None,
      'domain': 'iqvia',
      'entry_id': '690ac4b7e99855fc5ee7b987a758d5cb',
      'minor_version': 1,
      'options': dict({
      }),
      'pref_disable_new_entities': False,
      'pref_disable_polling': False,
      'source': 'user',
      'title': '**REDACTED**',
      'unique_id': '**REDACTED**',
      'version': 1,
    }),
  })
# ---