def from_dict(cls, json_dict):
""" Static method to create a state from a dict.
Ensures: state == State.from_json_dict(state.to_json_dict()) """
if not (json_dict and "entity_id" in json_dict and "state" in json_dict):
return None
last_changed = json_dict.get("last_changed")
if last_changed:
last_changed = date_util.str_to_datetime(last_changed)
last_updated = json_dict.get("last_updated")
if last_updated:
last_updated = date_util.str_to_datetime(last_updated)
return cls(json_dict["entity_id"], json_dict["state"], json_dict.get("attributes"), last_changed, last_updated)
def update(self):
""" Gets the latest data from yr.no and updates the states. """
now = dt_util.utcnow()
# check if data should be updated
if self._update is not None and now <= self._update:
return
self._weather.update()
# find sensor
for time_entry in self._weather.data['product']['time']:
valid_from = dt_util.str_to_datetime(
time_entry['@from'], "%Y-%m-%dT%H:%M:%SZ")
valid_to = dt_util.str_to_datetime(
time_entry['@to'], "%Y-%m-%dT%H:%M:%SZ")
loc_data = time_entry['location']
if self.type not in loc_data or now >= valid_to:
continue
self._update = valid_to
if self.type == 'precipitation' and valid_from < now:
self._state = loc_data[self.type]['@value']
break
elif self.type == 'symbol' and valid_from < now:
self._state = loc_data[self.type]['@number']
break
elif self.type == ('temperature', 'pressure', 'humidity',
'dewpointTemperature'):
self._state = loc_data[self.type]['@value']
break
elif self.type == 'windSpeed':
self._state = loc_data[self.type]['@mps']
break
elif self.type == 'windDirection':
self._state = float(loc_data[self.type]['@deg'])
break
elif self.type in ('fog', 'cloudiness', 'lowClouds',
'mediumClouds', 'highClouds'):
self._state = loc_data[self.type]['@percent']
break
def update(self):
""" Gets the latest data from yr.no and updates the states. """
now = dt_util.utcnow()
# check if data should be updated
if self._update is not None and now <= self._update:
return
self._weather.update()
# find sensor
for time_entry in self._weather.data['product']['time']:
valid_from = dt_util.str_to_datetime(time_entry['@from'],
"%Y-%m-%dT%H:%M:%SZ")
valid_to = dt_util.str_to_datetime(time_entry['@to'],
"%Y-%m-%dT%H:%M:%SZ")
loc_data = time_entry['location']
if self.type not in loc_data or now >= valid_to:
continue
self._update = valid_to
if self.type == 'precipitation' and valid_from < now:
self._state = loc_data[self.type]['@value']
break
elif self.type == 'symbol' and valid_from < now:
self._state = loc_data[self.type]['@number']
break
elif self.type == ('temperature', 'pressure', 'humidity',
'dewpointTemperature'):
self._state = loc_data[self.type]['@value']
break
elif self.type == 'windSpeed':
self._state = loc_data[self.type]['@mps']
break
elif self.type == 'windDirection':
self._state = float(loc_data[self.type]['@deg'])
break
elif self.type in ('fog', 'cloudiness', 'lowClouds',
'mediumClouds', 'highClouds'):
self._state = loc_data[self.type]['@percent']
break
def from_dict(cls, json_dict):
""" Static method to create a state from a dict.
Ensures: state == State.from_json_dict(state.to_json_dict()) """
if not (json_dict and 'entity_id' in json_dict
and 'state' in json_dict):
return None
last_changed = json_dict.get('last_changed')
if last_changed:
last_changed = date_util.str_to_datetime(last_changed)
last_updated = json_dict.get('last_updated')
if last_updated:
last_updated = date_util.str_to_datetime(last_updated)
return cls(json_dict['entity_id'], json_dict['state'],
json_dict.get('attributes'), last_changed, last_updated)
def from_dict(cls, json_dict):
"""Initialize a state from a dict.
Ensures: state == State.from_json_dict(state.to_json_dict())
"""
if not (json_dict and 'entity_id' in json_dict and
'state' in json_dict):
return None
last_changed = json_dict.get('last_changed')
if last_changed:
last_changed = dt_util.str_to_datetime(last_changed)
last_updated = json_dict.get('last_updated')
if last_updated:
last_updated = dt_util.str_to_datetime(last_updated)
return cls(json_dict['entity_id'], json_dict['state'],
json_dict.get('attributes'), last_changed, last_updated)
def update(self):
""" Gets the latest data from yr.no and updates the states. """
now = dt_util.utcnow()
# check if data should be updated
if self._update is not None and now <= self._update:
return
self._weather.update()
# find sensor
for time_entry in self._weather.data["product"]["time"]:
valid_from = dt_util.str_to_datetime(time_entry["@from"], "%Y-%m-%dT%H:%M:%SZ")
valid_to = dt_util.str_to_datetime(time_entry["@to"], "%Y-%m-%dT%H:%M:%SZ")
loc_data = time_entry["location"]
if self.type not in loc_data or now >= valid_to:
continue
self._update = valid_to
if self.type == "precipitation" and valid_from < now:
self._state = loc_data[self.type]["@value"]
break
elif self.type == "symbol" and valid_from < now:
self._state = loc_data[self.type]["@number"]
break
elif self.type == ("temperature", "pressure", "humidity", "dewpointTemperature"):
self._state = loc_data[self.type]["@value"]
break
elif self.type == "windSpeed":
self._state = loc_data[self.type]["@mps"]
break
elif self.type == "windDirection":
self._state = float(loc_data[self.type]["@deg"])
break
elif self.type in ("fog", "cloudiness", "lowClouds", "mediumClouds", "highClouds"):
self._state = loc_data[self.type]["@percent"]
break
def next_rising_utc(hass, entity_id=None):
""" Returns the UTC datetime object of the next sun rising. """
entity_id = entity_id or ENTITY_ID
state = hass.states.get(ENTITY_ID)
try:
return dt_util.str_to_datetime(
state.attributes[STATE_ATTR_NEXT_RISING])
except (AttributeError, KeyError):
# AttributeError if state is None
# KeyError if STATE_ATTR_NEXT_RISING does not exist
return None
def next_rising_utc(hass, entity_id=None):
""" Returns the UTC datetime object of the next sun rising. """
entity_id = entity_id or ENTITY_ID
state = hass.states.get(ENTITY_ID)
try:
return dt_util.str_to_datetime(
state.attributes[STATE_ATTR_NEXT_RISING])
except (AttributeError, KeyError):
# AttributeError if state is None
# KeyError if STATE_ATTR_NEXT_RISING does not exist
return None
def update(self):
""" Gets the latest data from yr.no """
# check if new will be available
if self._nextrun is not None and dt_util.utcnow() <= self._nextrun:
return
try:
with requests.Session() as sess:
response = sess.get(self._url)
except requests.RequestException:
return
if response.status_code != 200:
return
data = response.text
import xmltodict
self.data = xmltodict.parse(data)['weatherdata']
model = self.data['meta']['model']
if '@nextrun' not in model:
model = model[0]
self._nextrun = dt_util.str_to_datetime(model['@nextrun'],
"%Y-%m-%dT%H:%M:%SZ")
def update(self):
""" Gets the latest data from yr.no """
# check if new will be available
if self._nextrun is not None and dt_util.utcnow() <= self._nextrun:
return
try:
with requests.Session() as sess:
response = sess.get(self._url)
except requests.RequestException:
return
if response.status_code != 200:
return
data = response.text
import xmltodict
self.data = xmltodict.parse(data)['weatherdata']
model = self.data['meta']['model']
if '@nextrun' not in model:
model = model[0]
self._nextrun = dt_util.str_to_datetime(model['@nextrun'],
"%Y-%m-%dT%H:%M:%SZ")
def test_str_to_datetime_returns_none_for_incorrect_format(self):
"""Test str_to_datetime returns None if incorrect format."""
self.assertIsNone(dt_util.str_to_datetime("not a datetime string"))
def test_str_to_datetime_converts_correctly(self):
"""Test str_to_datetime converts strings."""
self.assertEqual(
datetime(1986, 7, 9, 12, 0, 0, tzinfo=dt_util.UTC),
dt_util.str_to_datetime("12:00:00 09-07-1986"))
