python-kasa/kasa/iot/modules/emeter.py
Steven B. 9641edcbc0
Make iot time timezone aware (#1147)
Also makes on_since for iot devices use device time.
Changes the return value for device.timezone to be tzinfo instead of a dict.
2024-10-08 08:16:51 +01:00

152 lines
4.9 KiB
Python

"""Implementation of the emeter module."""
from __future__ import annotations
from datetime import datetime
from ...emeterstatus import EmeterStatus
from ...interfaces.energy import Energy as EnergyInterface
from .usage import Usage
class Emeter(Usage, EnergyInterface):
"""Emeter module."""
async def _post_update_hook(self) -> None:
self._supported = EnergyInterface.ModuleFeature.PERIODIC_STATS
if (
"voltage_mv" in self.data["get_realtime"]
or "voltage" in self.data["get_realtime"]
):
self._supported = (
self._supported | EnergyInterface.ModuleFeature.VOLTAGE_CURRENT
)
if (
"total_wh" in self.data["get_realtime"]
or "total" in self.data["get_realtime"]
):
self._supported = (
self._supported | EnergyInterface.ModuleFeature.CONSUMPTION_TOTAL
)
@property # type: ignore
def status(self) -> EmeterStatus:
"""Return current energy readings."""
return EmeterStatus(self.data["get_realtime"])
@property
def consumption_today(self) -> float | None:
"""Return today's energy consumption in kWh."""
raw_data = self.daily_data
today = datetime.now().day
data = self._convert_stat_data(raw_data, entry_key="day", key=today)
return data.get(today, 0.0)
@property
def consumption_this_month(self) -> float | None:
"""Return this month's energy consumption in kWh."""
raw_data = self.monthly_data
current_month = datetime.now().month
data = self._convert_stat_data(raw_data, entry_key="month", key=current_month)
return data.get(current_month, 0.0)
@property
def current_consumption(self) -> float | None:
"""Get the current power consumption in Watt."""
return self.status.power
@property
def consumption_total(self) -> float | None:
"""Return total consumption since last reboot in kWh."""
return self.status.total
@property
def current(self) -> float | None:
"""Return the current in A."""
return self.status.current
@property
def voltage(self) -> float | None:
"""Get the current voltage in V."""
return self.status.voltage
async def erase_stats(self):
"""Erase all stats.
Uses different query than usage meter.
"""
return await self.call("erase_emeter_stat")
async def get_status(self) -> EmeterStatus:
"""Return real-time statistics."""
return EmeterStatus(await self.call("get_realtime"))
async def get_daily_stats(self, *, year=None, month=None, kwh=True) -> dict:
"""Return daily stats for the given year & month.
The return value is a dictionary of {day: energy, ...}.
"""
data = await self.get_raw_daystat(year=year, month=month)
data = self._convert_stat_data(data["day_list"], entry_key="day", kwh=kwh)
return data
async def get_monthly_stats(self, *, year=None, kwh=True) -> dict:
"""Return monthly stats for the given year.
The return value is a dictionary of {month: energy, ...}.
"""
data = await self.get_raw_monthstat(year=year)
data = self._convert_stat_data(data["month_list"], entry_key="month", kwh=kwh)
return data
def _convert_stat_data(
self,
data: list[dict[str, int | float]],
entry_key: str,
kwh: bool = True,
key: int | None = None,
) -> dict[int | float, int | float]:
"""Return emeter information keyed with the day/month.
The incoming data is a list of dictionaries::
[{'year': int,
'month': int,
'day': int, <-- for get_daystat not get_monthstat
'energy_wh': int, <-- for emeter in some versions (wh)
'energy': float <-- for emeter in other versions (kwh)
}, ...]
:return: a dictionary keyed by day or month with energy as the value.
"""
if not data:
return {}
scale: float = 1
if "energy_wh" in data[0]:
value_key = "energy_wh"
if kwh:
scale = 1 / 1000
else:
value_key = "energy"
if not kwh:
scale = 1000
if key is None:
# Return all the data
return {entry[entry_key]: entry[value_key] * scale for entry in data}
# In this case we want a specific key in the data
# i.e. the current day or month.
#
# Since we usually want the data at the end of the list so we can
# optimize the search by starting at the end and avoid scaling
# the data we don't need.
#
for entry in reversed(data):
if entry[entry_key] == key:
return {entry[entry_key]: entry[value_key] * scale}
return {}