Added support for TekSavvy bandwidth sensor

.coveragerc

@@ -591,6 +591,7 @@ omit =
     homeassistant/components/sensor/sytadin.py
     homeassistant/components/sensor/tank_utility.py
     homeassistant/components/sensor/ted5000.py
+    homeassistant/components/sensor/teksavvy.py
     homeassistant/components/sensor/temper.py
     homeassistant/components/sensor/tibber.py
     homeassistant/components/sensor/time_date.py

homeassistant/components/sensor/teksavvy.py

@@ -0,0 +1,159 @@
+"""
+Support for TekSavvy Bandwidth Monitor.
+
+For more details about this platform, please refer to the documentation at
+https://home-assistant.io/components/sensor.teksavvy/
+"""
+from datetime import timedelta
+import logging
+
+import asyncio
+import async_timeout
+from homeassistant.components.sensor import PLATFORM_SCHEMA
+from homeassistant.const import (
+    CONF_API_KEY, CONF_MONITORED_VARIABLES, CONF_NAME)
+from homeassistant.helpers.aiohttp_client import async_get_clientsession
+import homeassistant.helpers.config_validation as cv
+from homeassistant.helpers.entity import Entity
+from homeassistant.util import Throttle
+import voluptuous as vol
+
+_LOGGER = logging.getLogger(__name__)
+
+DEFAULT_NAME = 'TekSavvy'
+CONF_TOTAL_BANDWIDTH = 'total_bandwidth'
+
+GIGABYTES = 'GB'  # type: str
+PERCENT = '%'  # type: str
+
+MIN_TIME_BETWEEN_UPDATES = timedelta(hours=1)
+REQUEST_TIMEOUT = 5  # seconds
+
+SENSOR_TYPES = {
+    'usage': ['Usage', PERCENT, 'mdi:percent'],
+    'usage_gb': ['Usage', GIGABYTES, 'mdi:download'],
+    'limit': ['Data limit', GIGABYTES, 'mdi:download'],
+    'onpeak_download': ['On Peak Download', GIGABYTES, 'mdi:download'],
+    'onpeak_upload': ['On Peak Upload ', GIGABYTES, 'mdi:upload'],
+    'onpeak_total': ['On Peak Total', GIGABYTES, 'mdi:download'],
+    'offpeak_download': ['Off Peak download', GIGABYTES, 'mdi:download'],
+    'offpeak_upload': ['Off Peak Upload', GIGABYTES, 'mdi:upload'],
+    'offpeak_total': ['Off Peak Total', GIGABYTES, 'mdi:download'],
+    'onpeak_remaining': ['Remaining', GIGABYTES, 'mdi:download']
+}
+
+API_HA_MAP = (
+    ('OnPeakDownload', 'onpeak_download'),
+    ('OnPeakUpload', 'onpeak_upload'),
+    ('OffPeakDownload', 'offpeak_download'),
+    ('OffPeakUpload', 'offpeak_upload'))
+
+PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
+    vol.Required(CONF_MONITORED_VARIABLES):
+        vol.All(cv.ensure_list, [vol.In(SENSOR_TYPES)]),
+    vol.Required(CONF_API_KEY): cv.string,
+    vol.Required(CONF_TOTAL_BANDWIDTH): cv.positive_int,
+    vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string,
+})
+
+
+@asyncio.coroutine
+def async_setup_platform(hass, config, async_add_devices, discovery_info=None):
+    """Set up the sensor platform."""
+    websession = async_get_clientsession(hass)
+    apikey = config.get(CONF_API_KEY)
+    bandwidthcap = config.get(CONF_TOTAL_BANDWIDTH)
+
+    ts_data = TekSavvyData(hass.loop, websession, apikey, bandwidthcap)
+    ret = yield from ts_data.async_update()
+    if ret is False:
+        _LOGGER.error("Invalid Teksavvy API key: %s", apikey)
+        return
+
+    name = config.get(CONF_NAME)
+    sensors = []
+    for variable in config[CONF_MONITORED_VARIABLES]:
+        sensors.append(TekSavvySensor(ts_data, variable, name))
+    async_add_devices(sensors, True)
+
+
+class TekSavvySensor(Entity):
+    """Representation of TekSavvy Bandwidth sensor."""
+
+    def __init__(self, teksavvydata, sensor_type, name):
+        """Initialize the sensor."""
+        self.client_name = name
+        self.type = sensor_type
+        self._name = SENSOR_TYPES[sensor_type][0]
+        self._unit_of_measurement = SENSOR_TYPES[sensor_type][1]
+        self._icon = SENSOR_TYPES[sensor_type][2]
+        self.teksavvydata = teksavvydata
+        self._state = None
+
+    @property
+    def name(self):
+        """Return the name of the sensor."""
+        return '{} {}'.format(self.client_name, self._name)
+
+    @property
+    def state(self):
+        """Return the state of the sensor."""
+        return self._state
+
+    @property
+    def unit_of_measurement(self):
+        """Return the unit of measurement of this entity, if any."""
+        return self._unit_of_measurement
+
+    @property
+    def icon(self):
+        """Icon to use in the frontend, if any."""
+        return self._icon
+
+    @asyncio.coroutine
+    def async_update(self):
+        """Get the latest data from TekSavvy and update the state."""
+        yield from self.teksavvydata.async_update()
+        if self.type in self.teksavvydata.data:
+            self._state = round(self.teksavvydata.data[self.type], 2)
+
+
+class TekSavvyData(object):
+    """Get data from TekSavvy API."""
+
+    def __init__(self, loop, websession, api_key, bandwidth_cap):
+        """Initialize the data object."""
+        self.loop = loop
+        self.websession = websession
+        self.api_key = api_key
+        self.bandwidth_cap = bandwidth_cap
+        self.data = {"limit": self.bandwidth_cap}
+
+    @asyncio.coroutine
+    @Throttle(MIN_TIME_BETWEEN_UPDATES)
+    def async_update(self):
+        """Get the TekSavvy bandwidth data from the web service."""
+        headers = {"TekSavvy-APIKey": self.api_key}
+        _LOGGER.debug("Updating TekSavvy data")
+        url = "https://api.teksavvy.com/"\
+              "web/Usage/UsageSummaryRecords?$filter=IsCurrent%20eq%20true"
+        with async_timeout.timeout(REQUEST_TIMEOUT, loop=self.loop):
+            req = yield from self.websession.get(url, headers=headers)
+        if req.status != 200:
+            _LOGGER.error("Request failed with status: %u", req.status)
+            return False
+        else:
+            data = yield from req.json()
+            for (api, ha_name) in API_HA_MAP:
+                self.data[ha_name] = float(data["value"][0][api])
+            on_peak_download = self.data["onpeak_download"]
+            on_peak_upload = self.data["onpeak_upload"]
+            off_peak_download = self.data["offpeak_download"]
+            off_peak_upload = self.data["offpeak_upload"]
+            limit = self.data["limit"]
+            self.data["usage"] = 100*on_peak_download/self.bandwidth_cap
+            self.data["usage_gb"] = on_peak_download
+            self.data["onpeak_total"] = on_peak_download + on_peak_upload
+            self.data["offpeak_total"] = off_peak_download + off_peak_upload
+            self.data["onpeak_remaining"] = limit - on_peak_download
+            return True