Introduced support to Netgear Arlo Cameras (#7826)

*  Introduced support to Netgear Arlo Cameras

* Using async_setup_platform() and applied other changes

* Removed unecessary variables

* Using asyncio for sensor/arlo

* Update arlo.py

* Removed entity_namespace

homeassistant/components/sensor/arlo.py

@@ -0,0 +1,126 @@
+"""
+This component provides HA sensor for Netgear Arlo IP cameras.
+
+For more details about this platform, please refer to the documentation at
+https://home-assistant.io/components/sensor.arlo/
+"""
+import asyncio
+import logging
+from datetime import timedelta
+import voluptuous as vol
+
+from homeassistant.helpers import config_validation as cv
+from homeassistant.components.arlo import (
+    CONF_ATTRIBUTION, DEFAULT_BRAND)
+
+from homeassistant.const import (
+    ATTR_ATTRIBUTION, CONF_MONITORED_CONDITIONS, STATE_UNKNOWN)
+from homeassistant.components.sensor import PLATFORM_SCHEMA
+from homeassistant.helpers.entity import Entity
+
+DEPENDENCIES = ['arlo']
+
+_LOGGER = logging.getLogger(__name__)
+
+# sensor_type [ description, unit, icon ]
+SENSOR_TYPES = {
+    'last_capture': ['Last', None, 'run-fast'],
+    'total_cameras': ['Arlo Cameras', None, 'video'],
+    'captured_today': ['Captured Today', None, 'file-video'],
+}
+
+PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
+    vol.Required(CONF_MONITORED_CONDITIONS, default=list(SENSOR_TYPES)):
+        vol.All(cv.ensure_list, [vol.In(SENSOR_TYPES)]),
+})
+
+SCAN_INTERVAL = timedelta(seconds=90)
+
+
+@asyncio.coroutine
+def async_setup_platform(hass, config, async_add_devices, discovery_info=None):
+    """Set up an Arlo IP sensor."""
+    arlo = hass.data.get('arlo')
+    if not arlo:
+        return False
+
+    sensors = []
+    for sensor_type in config.get(CONF_MONITORED_CONDITIONS):
+        if sensor_type == 'total_cameras':
+            sensors.append(ArloSensor(hass,
+                                      SENSOR_TYPES[sensor_type][0],
+                                      arlo,
+                                      sensor_type))
+        else:
+            for camera in arlo.cameras:
+                name = '{0} {1}'.format(SENSOR_TYPES[sensor_type][0],
+                                        camera.name)
+                sensors.append(ArloSensor(hass, name, camera, sensor_type))
+
+    async_add_devices(sensors, True)
+    return True
+
+
+class ArloSensor(Entity):
+    """An implementation of a Netgear Arlo IP sensor."""
+
+    def __init__(self, hass, name, device, sensor_type):
+        """Initialize an Arlo sensor."""
+        super().__init__()
+        self._name = name
+        self._hass = hass
+        self._data = device
+        self._sensor_type = sensor_type
+        self._state = None
+        self._icon = 'mdi:{}'.format(SENSOR_TYPES.get(self._sensor_type)[2])
+
+    @property
+    def name(self):
+        """Return the name of this camera."""
+        return self._name
+
+    @property
+    def state(self):
+        """Return the state of the sensor."""
+        return self._state
+
+    @property
+    def icon(self):
+        """Icon to use in the frontend, if any."""
+        return self._icon
+
+    @property
+    def unit_of_measurement(self):
+        """Return the units of measurement."""
+        return SENSOR_TYPES.get(self._sensor_type)[1]
+
+    def update(self):
+        """Get the latest data and updates the state."""
+        self._data.update()
+
+        if self._sensor_type == 'total_cameras':
+            self._state = len(self._data.cameras)
+
+        elif self._sensor_type == 'captured_today':
+            self._state = len(self._data.captured_today)
+
+        elif self._sensor_type == 'last_capture':
+            try:
+                video = self._data.videos()[0]
+                self._state = video.created_at_pretty("%m-%d-%Y %H:%M:%S")
+            except (AttributeError, IndexError):
+                self._state = STATE_UNKNOWN
+
+    @property
+    def device_state_attributes(self):
+        """Return the state attributes."""
+        attrs = {}
+
+        attrs[ATTR_ATTRIBUTION] = CONF_ATTRIBUTION
+        attrs['brand'] = DEFAULT_BRAND
+
+        if self._sensor_type == 'last_capture' or \
+           self._sensor_type == 'captured_today':
+            attrs['model'] = self._data.model_id
+
+        return attrs