def get(self, request, date=None):
"""Retrieve logbook entries."""
if date:
start_day = dt_util.start_of_local_day(date)
else:
start_day = dt_util.start_of_local_day()
end_day = start_day + timedelta(days=1)
events = recorder.query_events(
QUERY_EVENTS_BETWEEN,
(dt_util.as_utc(start_day), dt_util.as_utc(end_day)))
return self.json(humanify(events))
async def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
period = request.query.get('period')
if period is None:
period = 1
else:
period = int(period)
entity_id = request.query.get('entity')
start_day = dt_util.as_utc(datetime) - timedelta(days=period - 1)
end_day = start_day + timedelta(days=period)
hass = request.app['hass']
def json_events():
"""Fetch events and generate JSON."""
return self.json(list(
_get_events(hass, self.config, start_day, end_day, entity_id)))
return await hass.async_add_job(json_events)
def convert_time_to_utc(timestr):
"""Take a string like 08:00:00 and convert it to a unix timestamp."""
combined = datetime.combine(
dt_util.start_of_local_day(), dt_util.parse_time(timestr))
if combined < datetime.now():
combined = combined + timedelta(days=1)
return dt_util.as_timestamp(combined)
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
def get_results():
"""Query DB for results."""
events = recorder.get_model('Events')
query = recorder.query('Events').order_by(
events.time_fired).filter(
(events.time_fired > start_day) &
(events.time_fired < end_day))
events = recorder.execute(query)
return _exclude_events(events, self.config)
events = yield from request.app['hass'].loop.run_in_executor(
None, get_results)
return self.json(humanify(events))
def _get_date(date):
"""Get the dateTime from date or dateTime as a local."""
if 'date' in date:
return dt.start_of_local_day(dt.dt.datetime.combine(
dt.parse_date(date['date']), dt.dt.time.min))
else:
return dt.as_local(dt.parse_datetime(date['dateTime']))
def get(self, request, date=None):
"""Retrieve logbook entries."""
if date:
start_day = dt_util.start_of_local_day(date)
else:
start_day = dt_util.start_of_local_day()
start_day = dt_util.as_utc(start_day)
end_day = start_day + timedelta(days=1)
events = recorder.get_model('Events')
query = recorder.query('Events').filter(
(events.time_fired > start_day) &
(events.time_fired < end_day))
events = recorder.execute(query)
return self.json(humanify(events))
def get_next_interval(self, now=None):
"""Compute next time an update should occur."""
interval = self._tts_scan_interval
if now is None:
now = dt_util.utcnow()
if interval == 86460 or interval is None:
now = dt_util.start_of_local_day(dt_util.as_local(now))
return now + timedelta(seconds=interval)
class LitterRobotControlEntity(LitterRobotEntity):
"""A Litter-Robot entity that can control the unit."""
def __init__(self, robot: Robot, entity_type: str,
hub: LitterRobotHub) -> None:
"""Init a Litter-Robot control entity."""
super().__init__(robot=robot, entity_type=entity_type, hub=hub)
self._refresh_callback: CALLBACK_TYPE | None = None
async def perform_action_and_refresh(self, action: MethodType, *args: Any,
**kwargs: Any) -> bool:
"""Perform an action and initiates a refresh of the robot data after a few seconds."""
success = False
try:
success = await action(*args, **kwargs)
except InvalidCommandException as ex: # pragma: no cover
# this exception should only occur if the underlying API for commands changes
_LOGGER.error(ex)
success = False
if success:
self.async_cancel_refresh_callback()
self._refresh_callback = async_call_later(
self.hass, REFRESH_WAIT_TIME_SECONDS,
self.async_call_later_callback)
return success
async def async_call_later_callback(self, *_) -> None:
"""Perform refresh request on callback."""
self._refresh_callback = None
await self.coordinator.async_request_refresh()
async def async_will_remove_from_hass(self) -> None:
"""Cancel refresh callback when entity is being removed from hass."""
self.async_cancel_refresh_callback()
@callback
def async_cancel_refresh_callback(self):
"""Clear the refresh callback if it has not already fired."""
if self._refresh_callback is not None:
self._refresh_callback()
self._refresh_callback = None
@staticmethod
def parse_time_at_default_timezone(time_str: str | None) -> time | None:
"""Parse a time string and add default timezone."""
if time_str is None:
return None
if (parsed_time := dt_util.parse_time(time_str)) is None:
return None
return (dt_util.start_of_local_day().replace(
hour=parsed_time.hour,
minute=parsed_time.minute,
second=parsed_time.second,
).timetz())
def get_date(date: dict[str, Any]) -> datetime.datetime:
"""Get the dateTime from date or dateTime as a local."""
if "date" in date:
parsed_date = dt.parse_date(date["date"])
assert parsed_date
return dt.start_of_local_day(
datetime.datetime.combine(parsed_date, datetime.time.min))
parsed_datetime = dt.parse_datetime(date["dateTime"])
assert parsed_datetime
return dt.as_local(parsed_datetime)
async def schedule_future_update(hass, sensors, midnight_time,
prayer_times_data):
"""Schedule future update for sensors.
Midnight is a calculated time. The specifics of the calculation
depends on the method of the prayer time calculation. This calculated
midnight is the time at which the time to pray the Isha prayers have
expired.
Calculated Midnight: The Islamic midnight.
Traditional Midnight: 12:00AM
Update logic for prayer times:
If the Calculated Midnight is before the traditional midnight then wait
until the traditional midnight to run the update. This way the day
will have changed over and we don't need to do any fancy calculations.
If the Calculated Midnight is after the traditional midnight, then wait
until after the calculated Midnight. We don't want to update the prayer
times too early or else the timings might be incorrect.
Example:
calculated midnight = 11:23PM (before traditional midnight)
Update time: 12:00AM
calculated midnight = 1:35AM (after traditional midnight)
update time: 1:36AM.
"""
_LOGGER.debug("Scheduling next update for Islamic prayer times")
now = dt_util.as_local(dt_util.now())
today = now.date()
midnight_dt_str = '{}::{}'.format(str(today), midnight_time)
midnight_dt = datetime.strptime(midnight_dt_str, '%Y-%m-%d::%H:%M')
if now > dt_util.as_local(midnight_dt):
_LOGGER.debug("Midnight is after day the changes so schedule update "
"for after Midnight the next day")
next_update_at = midnight_dt + timedelta(days=1, minutes=1)
else:
_LOGGER.debug(
"Midnight is before the day changes so schedule update for the "
"next start of day")
tomorrow = now + timedelta(days=1)
next_update_at = dt_util.start_of_local_day(tomorrow)
_LOGGER.debug("Next update scheduled for: %s", str(next_update_at))
async_track_point_in_time(hass,
update_sensors(hass, sensors, prayer_times_data),
next_update_at)
async def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message("Invalid datetime", HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
period = request.query.get("period")
if period is None:
period = 1
else:
period = int(period)
entity_ids = request.query.get("entity")
if entity_ids:
try:
entity_ids = cv.entity_ids(entity_ids)
except vol.Invalid:
raise InvalidEntityFormatError(
f"Invalid entity id(s) encountered: {entity_ids}. "
"Format should be <domain>.<object_id>"
) from vol.Invalid
end_time = request.query.get("end_time")
if end_time is None:
start_day = dt_util.as_utc(datetime) - timedelta(days=period - 1)
end_day = start_day + timedelta(days=period)
else:
start_day = datetime
end_day = dt_util.parse_datetime(end_time)
if end_day is None:
return self.json_message("Invalid end_time", HTTP_BAD_REQUEST)
hass = request.app["hass"]
entity_matches_only = "entity_matches_only" in request.query
def json_events():
"""Fetch events and generate JSON."""
return self.json(
_get_events(
hass,
start_day,
end_day,
entity_ids,
self.filters,
self.entities_filter,
entity_matches_only,
)
)
return await hass.async_add_executor_job(json_events)
def _handle_get_logbook(handler, path_match, data):
""" Return logbook entries. """
date_str = path_match.group("date")
if date_str:
start_date = dt_util.date_str_to_date(date_str)
if start_date is None:
handler.write_json_message("Error parsing JSON", HTTP_BAD_REQUEST)
return
start_day = dt_util.start_of_local_day(start_date)
else:
start_day = dt_util.start_of_local_day()
end_day = start_day + timedelta(days=1)
events = recorder.query_events(QUERY_EVENTS_BETWEEN, (dt_util.as_utc(start_day), dt_util.as_utc(end_day)))
handler.write_json(humanify(events))
def update(self):
"""Get the latest data."""
# We have to retrieve the results for the whole day as the server
# won't return events that have already started
results = self.calendar.date_search(
dt.start_of_local_day(),
dt.start_of_local_day() + timedelta(days=1)
)
# dtstart can be a date or datetime depending if the event lasts a
# whole day. Convert everything to datetime to be able to sort it
results.sort(key=lambda x: self.to_datetime(
x.instance.vevent.dtstart.value
))
vevent = next((
event.instance.vevent for event in results
if (self.is_matching(event.instance.vevent, self.search)
and (not self.is_all_day(event.instance.vevent)
or self.include_all_day)
and not self.is_over(event.instance.vevent))), None)
# If no matching event could be found
if vevent is None:
_LOGGER.debug(
"No matching event found in the %d results for %s",
len(results),
self.calendar.name,
)
self.event = None
return True
# Populate the entity attributes with the event values
self.event = {
"summary": vevent.summary.value,
"start": self.get_hass_date(vevent.dtstart.value),
"end": self.get_hass_date(vevent.dtend.value),
"location": self.get_attr_value(vevent, "location"),
"description": self.get_attr_value(vevent, "description")
}
return True
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
start_day = dt_util.as_utc(datetime or dt_util.start_of_local_day())
end_day = start_day + timedelta(days=1)
events = recorder.get_model('Events')
query = recorder.query('Events').filter(
(events.time_fired > start_day) &
(events.time_fired < end_day))
events = recorder.execute(query)
return self.json(humanify(events))
def parse_time_at_default_timezone(time_str: str) -> time | None:
"""Parse a time string and add default timezone."""
parsed_time = dt_util.parse_time(time_str)
if parsed_time is None:
return None
return (dt_util.start_of_local_day().replace(
hour=parsed_time.hour,
minute=parsed_time.minute,
second=parsed_time.second,
).timetz())
async def async_schedule_future_update(self):
"""Schedule future update for sensors.
Midnight is a calculated time. The specifics of the calculation
depends on the method of the prayer time calculation. This calculated
midnight is the time at which the time to pray the Isha prayers have
expired.
Calculated Midnight: The Islamic midnight.
Traditional Midnight: 12:00AM
Update logic for prayer times:
If the Calculated Midnight is before the traditional midnight then wait
until the traditional midnight to run the update. This way the day
will have changed over and we don't need to do any fancy calculations.
If the Calculated Midnight is after the traditional midnight, then wait
until after the calculated Midnight. We don't want to update the prayer
times too early or else the timings might be incorrect.
Example:
calculated midnight = 11:23PM (before traditional midnight)
Update time: 12:00AM
calculated midnight = 1:35AM (after traditional midnight)
update time: 1:36AM.
"""
_LOGGER.debug("Scheduling next update for Islamic prayer times")
now = dt_util.as_local(dt_util.now())
midnight_dt = self.prayer_times_info["Midnight"]
if now > dt_util.as_local(midnight_dt):
next_update_at = midnight_dt + timedelta(days=1, minutes=1)
_LOGGER.debug(
"Midnight is after day the changes so schedule update for after Midnight the next day"
)
else:
_LOGGER.debug(
"Midnight is before the day changes so schedule update for the next start of day"
)
next_update_at = dt_util.start_of_local_day(now +
timedelta(days=1))
_LOGGER.info("Next update scheduled for: %s", next_update_at)
self.event_unsub = async_track_point_in_time(self.hass,
self.async_update,
next_update_at)
async def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message("Invalid datetime",
HTTPStatus.BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
if (period := request.query.get("period")) is None:
period = 1
def update(self):
"""Get the latest data."""
# We have to retrieve the results for the whole day as the server
# won't return events that have already started
results = self.calendar.date_search(
dt.start_of_local_day(),
dt.start_of_local_day() + timedelta(days=1)
)
# dtstart can be a date or datetime depending if the event lasts a
# whole day. Convert everything to datetime to be able to sort it
results.sort(key=lambda x: self.to_datetime(
x.instance.vevent.dtstart.value
))
vevent = next((
event.instance.vevent for event in results
if (self.is_matching(event.instance.vevent, self.search)
and (not self.is_all_day(event.instance.vevent)
or self.include_all_day)
and not self.is_over(event.instance.vevent))), None)
# If no matching event could be found
if vevent is None:
_LOGGER.debug(
"No matching event found in the %d results for %s",
len(results), self.calendar.name)
self.event = None
return True
# Populate the entity attributes with the event values
self.event = {
"summary": vevent.summary.value,
"start": self.get_hass_date(vevent.dtstart.value),
"end": self.get_hass_date(self.get_end_date(vevent)),
"location": self.get_attr_value(vevent, "location"),
"description": self.get_attr_value(vevent, "description")
}
return True
def _handle_get_logbook(handler, path_match, data):
""" Return logbook entries. """
date_str = path_match.group('date')
if date_str:
start_date = dt_util.date_str_to_date(date_str)
if start_date is None:
handler.write_json_message("Error parsing JSON", HTTP_BAD_REQUEST)
return
start_day = dt_util.start_of_local_day(start_date)
else:
start_day = dt_util.start_of_local_day()
end_day = start_day + timedelta(days=1)
events = recorder.query_events(
QUERY_EVENTS_BETWEEN,
(dt_util.as_utc(start_day), dt_util.as_utc(end_day)))
handler.write_json(humanify(events))
def get_next_interval(self, now=None):
"""Compute next time an update should occur."""
if now is None:
now = dt_util.utcnow()
if self.type == 'date':
now = dt_util.start_of_local_day(dt_util.as_local(now))
return now + timedelta(seconds=86400)
if self.type == 'beat':
interval = 86.4
else:
interval = 60
timestamp = int(dt_util.as_timestamp(now))
delta = interval - (timestamp % interval)
return now + timedelta(seconds=delta)
def update(self):
"""Update state of sensor."""
self._last_reset = dt_util.start_of_local_day()
try:
with suppress(PyViCareNotSupportedFeatureError):
self._state = self.entity_description.value_getter(self._api)
except requests.exceptions.ConnectionError:
_LOGGER.error("Unable to retrieve data from ViCare server")
except ValueError:
_LOGGER.error("Unable to decode data from ViCare server")
except PyViCareRateLimitError as limit_exception:
_LOGGER.error("Vicare API rate limit exceeded: %s", limit_exception)
except PyViCareInvalidDataError as invalid_data_exception:
_LOGGER.error("Invalid data from Vicare server: %s", invalid_data_exception)
def get(self, request, date=None):
"""Return history over a period of time."""
one_day = timedelta(days=1)
if date:
start_time = dt_util.as_utc(dt_util.start_of_local_day(date))
else:
start_time = dt_util.utcnow() - one_day
end_time = start_time + one_day
entity_id = request.args.get('filter_entity_id')
return self.json(
get_significant_states(start_time, end_time, entity_id).values())
def get(self, request, date=None):
"""Return history over a period of time."""
one_day = timedelta(days=1)
if date:
start_time = dt_util.as_utc(dt_util.start_of_local_day(date))
else:
start_time = dt_util.utcnow() - one_day
end_time = start_time + one_day
entity_id = request.args.get('filter_entity_id')
return self.json(
get_significant_states(start_time, end_time, entity_id).values())
def calculate_datetime(entry: dict, sun_data):
"""Get datetime object with closest occurance based on time + weekdays input"""
if "time" in entry:
time = dt_util.parse_time(entry["time"])
today = dt_util.start_of_local_day()
nexttime = dt_util.as_utc(datetime.datetime.combine(today, time))
elif "event" in entry:
if not sun_data:
_LOGGER.error("no sun data available")
return
offset_sign = entry["offset"][0]
offset_string = entry["offset"][1:]
time_offset = datetime.datetime.strptime(offset_string, "%H:%M")
time_offset = datetime.timedelta(hours=time_offset.hour,
minutes=time_offset.minute)
time_sun = (sun_data["sunrise"]
if entry["event"] == "sunrise" else sun_data["sunset"])
time_sun = datetime.datetime.strptime(
time_sun[:len(time_sun) - 3] + time_sun[len(time_sun) - 2:],
"%Y-%m-%dT%H:%M:%S%z",
)
if offset_sign == "+":
nexttime = time_sun + time_offset
else:
nexttime = time_sun - time_offset
now = dt_util.now().replace(microsecond=0)
# check if time has already passed for today
delta = nexttime - now
while delta.total_seconds() <= 0:
nexttime = nexttime + datetime.timedelta(days=1)
delta = nexttime - now
# check if timer is restricted in days of the week
day_list = entry["days"]
if len(day_list) > 0 and not 0 in day_list:
weekday = dt_util.as_local(nexttime).isoweekday()
while weekday not in day_list:
nexttime = nexttime + datetime.timedelta(days=1)
weekday = dt_util.as_local(nexttime).isoweekday()
return nexttime
def update(self):
"""Get the latest data."""
service = self.calendar_service.get()
params = dict(DEFAULT_GOOGLE_SEARCH_PARAMS)
params['timeMin'] = dt.start_of_local_day().isoformat('T')
params['calendarId'] = self.calendar_id
if self.search:
params['q'] = self.search
events = service.events() # pylint: disable=no-member
result = events.list(**params).execute()
items = result.get('items', [])
self.event = items[0] if len(items) == 1 else None
return True
def get_tide_xml_url(
lat=58.974339,
lon=5.730121,
time_from=None,
time_to=None,
datatype="tab",
interval=10,
) -> str:
if time_from is None:
time_from = dt_utils.start_of_local_day()
time_from_str = time_from.strftime("%Y-%m-%dT%H:%M:%S.%f%z")
if time_to is None:
time_to = dt_utils.start_of_local_day() + timedelta(days=1, hours=23, minutes=59, seconds=59)
time_to_str = time_to.strftime("%Y-%m-%dT%H:%M:%S.%f%z")
url = (
f"http://api.sehavniva.no/tideapi.php?lat={lat}&lon={lon}&fromtime={time_from_str}"
f"&totime={time_to_str}&datatype={datatype}&refcode=cd&place=&file=&lang=en&"
f"interval={interval}&dst=0&tzone=1&tide_request=locationdata"
)
return url
def update(self):
"""Get the latest data."""
service = self.calendar_service.get()
params = dict(DEFAULT_GOOGLE_SEARCH_PARAMS)
params['timeMin'] = dt.start_of_local_day().isoformat('T')
params['calendarId'] = self.calendar_id
if self.search:
params['q'] = self.search
events = service.events() # pylint: disable=no-member
result = events.list(**params).execute()
items = result.get('items', [])
self.event = items[0] if len(items) == 1 else None
return True
async def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message("Invalid datetime", HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
period = request.query.get("period")
if period is None:
period = 1
else:
period = int(period)
entity_id = request.query.get("entity")
end_time = request.query.get("end_time")
if end_time is None:
start_day = dt_util.as_utc(datetime) - timedelta(days=period - 1)
end_day = start_day + timedelta(days=period)
else:
start_day = datetime
end_day = dt_util.parse_datetime(end_time)
if end_day is None:
return self.json_message("Invalid end_time", HTTP_BAD_REQUEST)
hass = request.app["hass"]
entity_matches_only = "entity_matches_only" in request.query
def json_events():
"""Fetch events and generate JSON."""
return self.json(
_get_events(
hass,
start_day,
end_day,
entity_id,
self.filters,
self.entities_filter,
entity_matches_only,
))
return await hass.async_add_executor_job(json_events)
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
hass = request.app['hass']
events = yield from hass.async_add_job(
_get_events, hass, self.config, start_day, end_day)
return self.json(events)
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
hass = request.app['hass']
events = yield from hass.async_add_job(_get_events, hass, self.config,
start_day, end_day)
return self.json(events)
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
hass = request.app['hass']
events = yield from hass.loop.run_in_executor(
None, _get_events, hass, start_day, end_day)
events = _exclude_events(events, self.config)
return self.json(humanify(events))
def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
hass = request.app['hass']
events = yield from hass.loop.run_in_executor(None, _get_events, hass,
start_day, end_day)
events = _exclude_events(events, self.config)
return self.json(humanify(events))
def __init__(self, irrigation_id, attributes, entity_ids, component):
"""Initialize a Irrigation program."""
self.entity_id = irrigation_id
self._attributes = attributes
self._component = component
self._name = attributes.get(ATTR_NAME)
self._zones = attributes.get(ATTR_ZONES)
self._entities = entity_ids
self._stop = False
""" default to today for new programs """
now = dt_util.utcnow()
time_date = dt_util.start_of_local_day(dt_util.as_local(now))
self._last_run = dt_util.as_local(time_date).date().isoformat()
self._template = attributes.get(ATTR_TEMPLATE)
self._running = False
self._running_zone = None
self._state_attributes = {'days_since': self._last_run}
self._eval_zones = True
self._run_program = None
async def update_data(self, *_):
from datetime import date, timedelta
today = dt_util.start_of_local_day().date()
next_flagday = date(today.year, self._date_of_flag.month, self._date_of_flag.day)
if next_flagday < today:
next_flagday = next_flagday.replace(year=today.year + 1)
days_until_next_flagday = (next_flagday-today).days
self._age_at_next_flagday = next_flagday.year - self._date_of_flag.year
self._state = days_until_next_flagday
if days_until_next_flagday == 0:
# Fire event if flagday is today
self.hass.bus.async_fire(event_type='flagday', event_data={'name': self._name, 'age': self._age_at_next_flagday})
await self.async_update_ha_state()
async_call_later(self.hass, self._get_seconds_until_midnight(), self.update_data)
def get_daily_usage(self):
"""Return current daily power usage."""
kwh = 0
start_time = dt_util.start_of_local_day().astimezone(dt_util.UTC).isoformat()
end_time = dt_util.utcnow().isoformat()
_LOGGER.debug("Start: %s, End: %s", start_time, end_time)
try:
history = self.neurio_client.get_samples_stats(
self.sensor_id, start_time, "days", end_time
)
except (requests.exceptions.RequestException, ValueError, KeyError):
_LOGGER.warning("Could not update daily power usage")
return None
for result in history:
kwh += result["consumptionEnergy"] / 3600000
self._daily_usage = round(kwh, 2)
async def get(self, request, datetime=None):
"""Retrieve logbook entries."""
if datetime:
datetime = dt_util.parse_datetime(datetime)
if datetime is None:
return self.json_message('Invalid datetime', HTTP_BAD_REQUEST)
else:
datetime = dt_util.start_of_local_day()
start_day = dt_util.as_utc(datetime)
end_day = start_day + timedelta(days=1)
hass = request.app['hass']
def json_events():
"""Fetch events and generate JSON."""
return self.json(list(
_get_events(hass, self.config, start_day, end_day)))
return await hass.async_add_job(json_events)
def get_daily_usage(self):
"""Return current daily power usage."""
kwh = 0
start_time = dt_util.start_of_local_day() \
.astimezone(dt_util.UTC).isoformat()
end_time = dt_util.utcnow().isoformat()
_LOGGER.debug('Start: %s, End: %s', start_time, end_time)
try:
history = self.neurio_client.get_samples_stats(
self.sensor_id, start_time, 'days', end_time)
except (requests.exceptions.RequestException, ValueError, KeyError):
_LOGGER.warning("Could not update daily power usage")
return None
for result in history:
kwh += result['consumptionEnergy'] / 3600000
self._daily_usage = round(kwh, 2)
async def async_tcs_svc_request(self, service: dict, data: dict) -> None:
"""Process a service request (system mode) for a controller.
Data validation is not required, it will have been done upstream.
"""
if service == SVC_SET_SYSTEM_MODE:
mode = data[ATTR_SYSTEM_MODE]
else: # otherwise it is SVC_RESET_SYSTEM
mode = EVO_RESET
if ATTR_DURATION_DAYS in data:
until = dt_util.start_of_local_day()
until += data[ATTR_DURATION_DAYS]
elif ATTR_DURATION_HOURS in data:
until = dt_util.now() + data[ATTR_DURATION_HOURS]
else:
until = None
await self._set_tcs_mode(mode, until=until)
def get_next_interval(self):
"""Compute next time an update should occur."""
now = dt_util.utcnow()
if self.type == "date":
tomorrow = dt_util.as_local(now) + timedelta(days=1)
return dt_util.start_of_local_day(tomorrow)
if self.type == "beat":
# Add 1 hour because @0 beats is at 23:00:00 UTC.
timestamp = dt_util.as_timestamp(now + timedelta(hours=1))
interval = 86.4
else:
timestamp = dt_util.as_timestamp(now)
interval = 60
delta = interval - (timestamp % interval)
next_interval = now + timedelta(seconds=delta)
_LOGGER.debug("%s + %s -> %s (%s)", now, delta, next_interval, self.type)
return next_interval
async def async_update(self) -> None:
"""Update entity."""
key = self.entity_description.key
if key == "diskspace":
await self.sonarr.update()
elif key == "commands":
self.data[key] = await self.sonarr.commands()
elif key == "queue":
self.data[key] = await self.sonarr.queue()
elif key == "series":
self.data[key] = await self.sonarr.series()
elif key == "upcoming":
local = dt_util.start_of_local_day().replace(microsecond=0)
start = dt_util.as_utc(local)
end = start + timedelta(days=self.upcoming_days)
self.data[key] = await self.sonarr.calendar(
start=start.isoformat(), end=end.isoformat()
)
elif key == "wanted":
self.data[key] = await self.sonarr.wanted(page_size=self.wanted_max_items)
def _api_history_period(handler, path_match, data):
""" Return history over a period of time. """
date_str = path_match.group('date')
one_day = timedelta(seconds=86400)
if date_str:
start_date = dt_util.date_str_to_date(date_str)
if start_date is None:
handler.write_json_message("Error parsing JSON", HTTP_BAD_REQUEST)
return
start_time = dt_util.as_utc(dt_util.start_of_local_day(start_date))
else:
start_time = dt_util.utcnow() - one_day
end_time = start_time + one_day
entity_id = data.get('filter_entity_id')
handler.write_json(
get_significant_states(start_time, end_time, entity_id).values())
def _api_history_period(handler, path_match, data):
""" Return history over a period of time. """
date_str = path_match.group('date')
one_day = timedelta(seconds=86400)
if date_str:
start_date = dt_util.date_str_to_date(date_str)
if start_date is None:
handler.write_json_message("Error parsing JSON", HTTP_BAD_REQUEST)
return
start_time = dt_util.as_utc(dt_util.start_of_local_day(start_date))
else:
start_time = dt_util.utcnow() - one_day
end_time = start_time + one_day
entity_id = data.get('filter_entity_id')
handler.write_json(
get_significant_states(start_time, end_time, entity_id).values())
def extract_attrs(data) -> dict:
"""
Peak = 08:00 to 20:00
Off peak 1 = 00:00 to 08:00
off peak 2 = 20:00 to 00:00
"""
items = []
d = defaultdict(list)
peak_start = start_of(dt_utils.now().replace(hour=8), "hour")
peak_end = end_of(dt_utils.now().replace(hour=19), "hour")
offpeek1_start = dt_utils.start_of_local_day()
offpeek1_end = end_of(offpeek1_start.replace(hour=7), "hour")
offpeek2_start = start_of(dt_utils.now().replace(hour=8), "hour")
offpeek2_end = end_of(dt_utils.now().replace(hour=23), "hour")
for item in data:
curr = dt_utils.as_local(item.get("start"))
if time_in_range(peak_start, peak_end, curr):
d["peak"].append(item.get("value"))
elif time_in_range(offpeek1_start, offpeek1_end, curr):
d["offpeek1"].append(item.get("value"))
elif time_in_range(offpeek2_start, offpeek2_end, curr):
d["offpeek2"].append(item.get("value"))
items.append(item.get("value"))
d["Peak"] = mean(d["peak"])
d["Off-peak 1"] = mean(d["offpeek1"])
d["Off-peak 2"] = mean(d["offpeek2"])
d["Average"] = mean(items)
d["Min"] = min(items)
d["Max"] = max(items)
return dict(d)
async def fetching_data(self, *_):
import json
def retry(err: str):
minutes = 60
_LOGGER.error("Retrying in %i minutes: %s", minutes, err)
async_call_later(self.hass, minutes * 60, self.fetching_data)
def get_seconds_until_midnight():
one_day_in_seconds = 24 * 60 * 60
now = dt_util.now()
total_seconds_passed_today = (now.hour * 60 *
60) + (now.minute * 60) + now.second
return one_day_in_seconds - total_seconds_passed_today
try:
with open(self._theme_path, 'r') as dataFile:
data = json.load(dataFile)
except json.JSONDecodeError as err:
retry(err)
return
specialThemes = data['themeDays']
date = dt_util.start_of_local_day()
dateStr = date.strftime('%Y%m%d')
if dateStr in specialThemes:
events = map(lambda x: x['event'], specialThemes[dateStr])
self._state = ",".join(events)
tasks = [self.async_update_ha_state()]
await asyncio.wait(tasks, loop=self.hass.loop)
async_call_later(self.hass, get_seconds_until_midnight(),
self.fetching_data)
async def schedule_future_update(hass, sensors, midnight_time,
prayer_times_data):
"""Schedule future update for sensors.
Midnight is a calculated time. The specifics of the calculation
depends on the method of the prayer time calculation. This calculated
midnight is the time at which the time to pray the Isha prayers have
expired.
Calculated Midnight: The Islamic midnight.
Traditional Midnight: 12:00AM
Update logic for prayer times:
If the Calculated Midnight is before the traditional midnight then wait
until the traditional midnight to run the update. This way the day
will have changed over and we don't need to do any fancy calculations.
If the Calculated Midnight is after the traditional midnight, then wait
until after the calculated Midnight. We don't want to update the prayer
times too early or else the timings might be incorrect.
Example:
calculated midnight = 11:23PM (before traditional midnight)
Update time: 12:00AM
calculated midnight = 1:35AM (after traditional midnight)
update time: 1:36AM.
"""
_LOGGER.debug("Scheduling next update for Islamic prayer times")
now = dt_util.as_local(dt_util.now())
today = now.date()
midnight_dt_str = '{}::{}'.format(str(today), midnight_time)
midnight_dt = datetime.strptime(midnight_dt_str, '%Y-%m-%d::%H:%M')
if now > dt_util.as_local(midnight_dt):
_LOGGER.debug("Midnight is after day the changes so schedule update "
"for after Midnight the next day")
next_update_at = midnight_dt + timedelta(days=1, minutes=1)
else:
_LOGGER.debug(
"Midnight is before the day changes so schedule update for the "
"next start of day")
tomorrow = now + timedelta(days=1)
next_update_at = dt_util.start_of_local_day(tomorrow)
_LOGGER.debug("Next update scheduled for: %s", str(next_update_at))
async def update_sensors(_):
"""Update sensors with new prayer times."""
# Update prayer times
prayer_times = prayer_times_data.get_new_prayer_times()
_LOGGER.debug("New prayer times retrieved. Updating sensors.")
# Update all prayer times sensors
for sensor in sensors:
sensor.async_schedule_update_ha_state(True)
# Schedule next update
await schedule_future_update(hass, sensors, prayer_times['Midnight'],
prayer_times_data)
async_track_point_in_time(hass,
update_sensors,
next_update_at)