[Device Support Request] TS0601_TZE284_cjbofhxw PJ-1203 clamp power meter #3152
Labels
Tuya
Request/PR regarding a Tuya device
Comments
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Hi! I'm very new to HA with level 0.000001 coding skills. No attributes shown in the "Manage Zigbee Device" section (same for "0xef00"): Full ZHA Toolkit device scan: Thanks! |
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From the first post i see: So you dont have any quirk loaded and then its one tuya MCU device is no use t scanning it with ZHA-ToolKit then you is only getting the information of the standard Zigbee module and the interesting is for putting in the quirk signature but all magic information is from the MCU that you cant getting before getting the signature OK in the quirk. |
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Hi, got this device also was anyone able to run this device in ZHA? 🙇 |
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Looks like zigbee2mqtt people just got it working |
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Tried to add this device through a custom_quirk but after a few hours of trial and error I gave up. I added the device code tze284_cjbofhxw as model info, in multiple quirks (ts0601_energy_meter.py and ts0601_din_power.py) all with no success. So following this thread hoping support will be added to finally get this device to work with ZHA. |
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I also spent several hours trying to create a custom quirk, using ts0601_energy_meter.py as a template. Even adjusting for the differences in clusters, I can't get it to recognize the device. Don't know what else to do... |
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Not really sure of this is helpful but looking at the PR I found this one: |
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I used the quirk I found in #1768 (edit: yeah, that PR @JHurk ) but needed to edit the signature of the 1CH, because it has an extra in put cluster ( Full file to just paste it for now ;)"""Tuya Energy Meter."""
from enum import Enum
from typing import Any, Callable, Dict, Optional, Tuple, Type, Union
from zigpy.profiles import zgp, zha
from zigpy.quirks import CustomDevice
import zigpy.types as t
from zigpy.zcl.clusters.general import Basic, GreenPowerProxy, Groups, Ota, Scenes, Time
from zigpy.zcl.foundation import ZCLAttributeDef
from zhaquirks.const import (
DEVICE_TYPE,
ENDPOINTS,
INPUT_CLUSTERS,
MODELS_INFO,
OUTPUT_CLUSTERS,
PROFILE_ID,
)
from zhaquirks.tuya import (
NoManufacturerCluster,
TuyaLocalCluster,
TuyaZBElectricalMeasurement,
TuyaZBMeteringClusterWithUnit,
)
from zhaquirks.tuya.mcu import DPToAttributeMapping, TuyaMCUCluster
# from zigpy.zcl.clusters.homeautomation import MeasurementType
# Manufacturer cluster identifiers for device signatures
EARU_MANUFACTURER_CLUSTER_ID = 0xFF66
# Offset of 512 (0x200) for transating DP ID to Attribute ID
# Attribute IDs don't need to match every device's specific values
DP_ATTR_OFFSET = 512
# Power direction acttributes
POWER_FLOW = 102 + DP_ATTR_OFFSET # PowerFlow (0: forward, 1: reverse)
POWER_FLOW_B = 104 + DP_ATTR_OFFSET # PowerFlow (0: forward, 1: reverse)
# Calibration attributes
AC_FREQUENCY_COEF = 122 + DP_ATTR_OFFSET # uint32_t_be
CURRENT_SUMM_DELIVERED_COEF = 119 + DP_ATTR_OFFSET # uint32_t_be
CURRENT_SUMM_DELIVERED_COEF_B = 125 + DP_ATTR_OFFSET # uint32_t_be
CURRENT_SUMM_RECEIVED_COEF = 127 + DP_ATTR_OFFSET # uint32_t_be
CURRENT_SUMM_RECEIVED_COEF_B = 128 + DP_ATTR_OFFSET # uint32_t_be
INSTANTANEOUS_DEMAND_COEF = 118 + DP_ATTR_OFFSET # uint32_t_be
INSTANTANEOUS_DEMAND_COEF_B = 124 + DP_ATTR_OFFSET # uint32_t_be
RMS_CURRENT_COEF = 117 + DP_ATTR_OFFSET # uint32_t_be
RMS_CURRENT_COEF_B = 123 + DP_ATTR_OFFSET # uint32_t_be
RMS_VOLTAGE_COEF = 116 + DP_ATTR_OFFSET # uint32_t_be
# Device configuration attributes
UPDATE_PERIOD = 129 + DP_ATTR_OFFSET # uint32_t_be (3-60 seconds supported)
# Local configuration attributes
CHANNEL_CONFIGURATION = 0x5000
SUPPRESS_REVERSE_FLOW = 0x5010
SUPPRESS_REVERSE_FLOW_B = 0x5011
POWER_FLOW_PREEMPT = 0x5020
# Suffix for device attributes which need power flow direction applied
UNSIGNED_POWER_ATTR_SUFFIX = "_attr_unsigned"
# Default Tuya MCU cluster endpoint_id
TUYA_MCU_ENDPOINT_ID = 1
def is_type_uint(attr_type: Type) -> bool:
"""True if the specified attribute type is an unsigned integer."""
return issubclass(attr_type, t.uint_t)
class Channel(str, Enum):
"""Meter channels."""
A = "a"
B = "b"
AB = "ab"
@classmethod
def attr_with_channel(cls, attr_name: str, channel=None) -> str:
"""Returns the attr_name with channel suffix."""
assert channel is None or channel in cls, "Invalid channel."
if channel and channel != cls.A:
attr_name = attr_name + "_ch_" + channel
return attr_name
class ChannelConfiguration(t.enum8):
"""Enums for for all energy meter configurations."""
NONE = 0x00
A_PLUS_B = 0x01
A_MINUS_B = 0x02
GRID_PLUS_PRODUCTION = 0x03
CONSUMPTION_MINUS_PRODUCTION = 0x04
class ChannelConfiguration_1CH(t.enum8):
"""Enums for 1 channel energy meter configuration."""
NONE = ChannelConfiguration.NONE
DEFAULT = NONE
class ChannelConfiguration_1CHB(t.enum8):
"""Enums for 1 channel bidirectional energy meter configuration."""
NONE = ChannelConfiguration.NONE
DEFAULT = NONE
class ChannelConfiguration_2CH(t.enum8):
"""Enums for 2 channel energy meter configuration."""
A_PLUS_B = ChannelConfiguration.A_PLUS_B
A_MINUS_B = ChannelConfiguration.A_MINUS_B
CONSUMPTION_MINUS_PRODUCTION = ChannelConfiguration.CONSUMPTION_MINUS_PRODUCTION
DEFAULT = CONSUMPTION_MINUS_PRODUCTION
class ChannelConfiguration_2CHB(t.enum8):
"""Enums for 2 channel bidirectional energy meter configuration."""
A_PLUS_B = ChannelConfiguration.A_PLUS_B
A_MINUS_B = ChannelConfiguration.A_MINUS_B
GRID_PLUS_PRODUCTION = ChannelConfiguration.GRID_PLUS_PRODUCTION
CONSUMPTION_MINUS_PRODUCTION = ChannelConfiguration.CONSUMPTION_MINUS_PRODUCTION
DEFAULT = GRID_PLUS_PRODUCTION
class MeasurementType(
t.bitmap32
): # Would like to import this from zigpy.zcl.clusters.homeautomation, but its offset is currently incorrect
"""Defines the measurement type bits for the ElectricalMeasurement cluster."""
Active_measurement_AC = 1 << 0
Reactive_measurement_AC = 1 << 1
Apparent_measurement_AC = 1 << 2
Phase_A_measurement = 1 << 3
Phase_B_measurement = 1 << 4
Phase_C_measurement = 1 << 5
DC_measurement = 1 << 6
Harmonics_measurement = 1 << 7
Power_quality_measurement = 1 << 8
class Metering:
"""Functions for use with the ZCL Metering cluster."""
@staticmethod
def format(
int_digits: int, dec_digits: int, suppress_leading_zeros: bool = True
) -> int:
"""Returns the formatter value for summation and demand Metering attributes."""
assert 0 <= int_digits <= 7, "int_digits must be within range of 0 to 7."
assert 0 <= dec_digits <= 7, "dec_digits must be within range of 0 to 7."
return (suppress_leading_zeros << 6) | (int_digits << 3) | dec_digits
class PowerFlow(t.enum1):
"""Indicates power flow direction."""
FORWARD = 0x0
REVERSE = 0x1
@classmethod
def align_value(cls, value: int, power_flow=None) -> int:
"""Aligns the value with the power_flow direction."""
if (
power_flow == cls.REVERSE
and value > 0
or power_flow == cls.FORWARD
and value < 0
):
value = -value
return value
class TuyaPowerPhase:
"""Extracts values from Tuya power phase datapoints."""
@staticmethod
def variant_1(value) -> Tuple[t.uint_t, t.uint_t]:
voltage = value[14] | value[13] << 8
current = value[12] | value[11] << 8
return voltage, current
@staticmethod
def variant_2(value) -> Tuple[t.uint_t, t.uint_t, int]:
voltage = value[1] | value[0] << 8
current = value[4] | value[3] << 8
power = value[7] | value[6] << 8
return voltage, current, power * 10
@staticmethod
def variant_3(value) -> Tuple[t.uint_t, t.uint_t, int]:
voltage = (value[0] << 8) | value[1]
current = (value[2] << 16) | (value[3] << 8) | value[4]
power = (value[5] << 16) | (value[6] << 8) | value[7]
return voltage, current, power * 10
class PowerCalculation:
"""Methods for calculating power values."""
@staticmethod
def active_power_from_apparent_power_power_factor_and_power_flow(
apparent_power: Optional[t.uint_t],
power_factor: Optional[t.int_t],
power_flow: Optional[PowerFlow] = None,
) -> Optional[t.int_t]:
if apparent_power is None or power_factor is None:
return
power_factor *= 0.01
return round(apparent_power * abs(power_factor) * (-1 if power_flow else 1))
@staticmethod
def apparent_power_from_active_power_and_power_factor(
active_power: Optional[t.int_t], power_factor: Optional[t.int_t]
) -> Optional[t.uint_t]:
if active_power is None or power_factor is None:
return
power_factor *= 0.01
return round(abs(active_power) / abs(power_factor))
@staticmethod
def apparent_power_from_rms_current_and_rms_voltage(
rms_current: Optional[t.uint_t],
rms_voltage: Optional[t.uint_t],
ac_current_divisor: int = 1,
ac_current_multiplier: int = 1,
ac_voltage_divisor: int = 1,
ac_voltage_multiplier: int = 1,
ac_power_divisor: int = 1,
ac_power_multiplier: int = 1,
) -> Optional[t.uint_t]:
if rms_current is None or rms_voltage is None:
return
return round(
(rms_current * ac_current_multiplier / ac_current_divisor)
* (rms_voltage * ac_voltage_multiplier / ac_voltage_divisor)
* ac_power_divisor
/ ac_power_multiplier
)
@staticmethod
def reactive_power_from_apparent_power_and_power_factor(
apparent_power: Optional[t.uint_t], power_factor: Optional[t.int_t]
) -> Optional[t.int_t]:
if apparent_power is None or power_factor is None:
return
power_factor *= 0.01
return round(
(apparent_power * (1 - power_factor**2) ** 0.5)
* (-1 if power_factor < 0 else 1)
)
class LocalClusterAttributes:
"""Methods for handling local configuration attributes on device."""
_ATTRIBUTE_DEFAULTS: Dict[int, Any] = {}
_LOCAL_ATTRIBUTES: Tuple[int] = ()
def _attr_default(
self, attrid: Union[str, int], default: Optional[Any] = None
) -> Optional[Any]:
"""Returns an attribute's default value."""
attr_def = self.find_attribute(attrid)
return self._ATTRIBUTE_DEFAULTS.get(
attr_def.id, getattr(attr_def.type, "DEFAULT", default)
)
def _format_attr_value(self, attrid: Union[str, int], value: Any) -> Optional[Any]:
"""Used to format the input the input value with the attribute's type."""
try:
attr_def = self.find_attribute(attrid)
value = attr_def.type(value)
return value
except KeyError:
self.error("%s is not a valid attribute id", attrid)
except ValueError as e:
self.error(
"Failed to convert attribute %s from %s (%s) to type %s: %s",
attr_def.id,
value,
type(value),
attr_def.type,
e,
)
return
def get(self, key: Union[int, str], default: Optional[Any] = None) -> Optional[Any]:
"""Get cached attribute value and fall back to its device/type default if defined."""
value = super().get(key, default)
if value is None:
value = self._attr_default(key, default)
return value
async def read_attributes(self, attributes, *args, **kwargs):
"""Handle reads to local configuration attributes."""
success, failure = await super().read_attributes(attributes, *args, **kwargs)
for attrid in set(self._LOCAL_ATTRIBUTES).intersection(set(attributes)):
if attrid not in success:
default = self._attr_default(attrid)
if default is None:
continue
success[attrid] = default
failure.pop(attrid, None)
if success[attrid] not in (None, ""):
success[attrid] = self.attributes[attrid].type(success[attrid])
return success, failure
async def write_attributes(self, attributes, *args, **kwargs):
"""Handle writes to local configuration attributes."""
local_attributes = {}
for attrid in set(self._LOCAL_ATTRIBUTES).intersection(set(attributes)):
value = attributes.pop(attrid)
if value in (None, ""):
local_attributes[attrid] = None
continue
value = self._format_attr_value(attrid, value)
if value is not None:
local_attributes[attrid] = value
await TuyaLocalCluster.write_attributes(self, local_attributes, *args, **kwargs)
return await super().write_attributes(attributes, *args, **kwargs)
class TuyaEnergyMeterManufCluster(
LocalClusterAttributes, NoManufacturerCluster, TuyaMCUCluster
):
"""Manufactuter cluster for Tuya energy meter devices."""
_CHANNEL_CONFIGURATION_ATTRIBUTES: Dict[Type, Tuple[int]] = {
ChannelConfiguration_1CHB: (SUPPRESS_REVERSE_FLOW,),
ChannelConfiguration_2CHB: (
POWER_FLOW_PREEMPT,
SUPPRESS_REVERSE_FLOW,
SUPPRESS_REVERSE_FLOW_B,
),
}
_LOCAL_ATTRIBUTES: Tuple[int] = (
CHANNEL_CONFIGURATION,
POWER_FLOW_PREEMPT,
SUPPRESS_REVERSE_FLOW,
SUPPRESS_REVERSE_FLOW_B,
)
attributes: Dict[int, ZCLAttributeDef] = {
AC_FREQUENCY_COEF: ("ac_frequency_coefficient", t.uint32_t_be, True),
CURRENT_SUMM_DELIVERED_COEF: (
"current_summ_delivered_coefficient",
t.uint32_t_be,
True,
),
CURRENT_SUMM_DELIVERED_COEF_B: (
"current_summ_delivered_coefficient_ch_b",
t.uint32_t_be,
True,
),
CURRENT_SUMM_RECEIVED_COEF: (
"current_summ_received_coefficient",
t.uint32_t_be,
True,
),
CURRENT_SUMM_RECEIVED_COEF_B: (
"current_summ_received_coefficient_ch_b",
t.uint32_t_be,
True,
),
INSTANTANEOUS_DEMAND_COEF: (
"instantaneous_demand_coefficient",
t.uint32_t_be,
True,
),
INSTANTANEOUS_DEMAND_COEF_B: (
"instantaneous_demand_coefficient_ch_b",
t.uint32_t_be,
True,
),
POWER_FLOW: ("power_flow", PowerFlow, True),
POWER_FLOW_B: ("power_flow_ch_b", PowerFlow, True),
RMS_CURRENT_COEF: ("rms_current_coefficient", t.uint32_t_be, True),
RMS_CURRENT_COEF_B: (
"rms_current_coefficient_ch_b",
t.uint32_t_be,
True,
),
RMS_VOLTAGE_COEF: ("rms_voltage_coefficient", t.uint32_t_be, True),
CHANNEL_CONFIGURATION: (
"channel_configuration",
ChannelConfiguration,
True,
),
UPDATE_PERIOD: ("update_period", t.uint32_t_be, True),
POWER_FLOW_PREEMPT: ("power_flow_preempt", t.Bool, True),
SUPPRESS_REVERSE_FLOW: ("suppress_reverse_flow", t.Bool, True),
SUPPRESS_REVERSE_FLOW_B: ("suppress_reverse_flow_ch_b", t.Bool, True),
}
def get_optional(
self, key: Union[int, str], default: Optional[Any] = None
) -> Optional[Any]:
"""Returns the provided default value or None if an attribute is undefined."""
try:
return self.get(key, default)
except KeyError:
return default
def __init_subclass__(cls, configuration_type: Type) -> None:
"""Init cluster subclass."""
cls.attributes = {**TuyaMCUCluster.attributes}
cls._populate_mapped_attributes_lookup(cls)
cls._setup_channel_config_attributes(cls, configuration_type)
cls._setup_device_attributes(cls)
super().__init_subclass__()
def _populate_mapped_attributes_lookup(cls) -> None:
"""Stores a tuple for each cluster attribute mapped from MCU data points."""
cls.mapped_attributes: Tuple[Tuple[str, str, int]] = tuple(
(dp_map.ep_attribute, attr_name, dp_map.endpoint_id or TUYA_MCU_ENDPOINT_ID)
for dp_map in cls.dp_to_attribute.values()
for attr_name in (
dp_map.attribute_name
if isinstance(dp_map.attribute_name, tuple)
else (dp_map.attribute_name,)
)
)
def _setup_channel_config_attributes(cls, configuration_type: Type) -> None:
"""Setup local attributes for the device channel configuration type."""
config_type_attr = TuyaEnergyMeterManufCluster.attributes[CHANNEL_CONFIGURATION]
cls.attributes[CHANNEL_CONFIGURATION] = (
config_type_attr.name,
configuration_type,
config_type_attr.is_manufacturer_specific,
)
config_attr = cls._CHANNEL_CONFIGURATION_ATTRIBUTES.get(configuration_type, ())
for attrid in config_attr:
cls.attributes[attrid] = TuyaEnergyMeterManufCluster.attributes[attrid]
def _setup_device_attributes(cls) -> None:
"""Setup manufacturer cluster attributes for mapped device data points."""
attr_name_to_id: Dict[str, int] = {
attr[0] if isinstance(attr, tuple) else attr.name: attrid
for attrid, attr in TuyaEnergyMeterManufCluster.attributes.items()
}
for ep_attribute, attr_name, endpoint_id in cls.mapped_attributes:
if ep_attribute != cls.ep_attribute:
continue
assert (
endpoint_id == 1
), "Check endpoint_id of TuyaEnergyMeterManufCluster dp_to_attribute."
attrid = attr_name_to_id.get(attr_name)
if attrid is not None:
cls.attributes[attrid] = TuyaEnergyMeterManufCluster.attributes[attrid]
class EnergyMeterChannel:
"""Methods and properties for energy meter channel clusters."""
_ENDPOINT_TO_CHANNEL: Dict[Tuple[Type, int], Channel] = {
(ChannelConfiguration_1CH, 1): Channel.A,
(ChannelConfiguration_1CHB, 1): Channel.A,
(ChannelConfiguration_2CH, 1): Channel.A,
(ChannelConfiguration_2CH, 2): Channel.B,
(ChannelConfiguration_2CH, 3): Channel.AB,
(ChannelConfiguration_2CHB, 1): Channel.A,
(ChannelConfiguration_2CHB, 2): Channel.B,
(ChannelConfiguration_2CHB, 3): Channel.AB,
}
_EXTENSIVE_ATTRIBUTES: Tuple[str] = ()
_INTENSIVE_ATTRIBUTES: Tuple[str] = ()
_CUMULATIVE_FORWARD_ATTRIBUTES: Tuple[str] = ()
_CUMULATIVE_REVERSE_ATTRIBUTES: Tuple[str] = ()
_INVERSE_ATTRIBUTES: Dict[str, str] = {}
def __init__(self, *args, **kwargs):
"""Init."""
self._CHANNEL_TO_ENDPOINT: Dict[Tuple[Type, Channel], int] = {
(k[0], v): k[1] for k, v in self._ENDPOINT_TO_CHANNEL.items()
}
self._INVERSE_ATTRIBUTES.update(
{v: k for k, v in dict(self._INVERSE_ATTRIBUTES).items()}
)
self._CUMULATIVE_ATTRIBUTES = (
self._CUMULATIVE_FORWARD_ATTRIBUTES + self._CUMULATIVE_REVERSE_ATTRIBUTES
)
super().__init__(*args, **kwargs)
@property
def channel(self) -> Optional[str]:
"""Returns the cluster's channel."""
return self._ENDPOINT_TO_CHANNEL.get(
(self.channel_configuration_type, self.endpoint.endpoint_id), None
)
@property
def channel_configuration(self) -> Optional[ChannelConfiguration]:
"""Returns the device's current channel configuration."""
return self.manufacturer_cluster.get("channel_configuration")
@property
def channel_configuration_type(self) -> Type:
"""Returns the device's channel configuration type."""
return self.manufacturer_cluster.AttributeDefs.channel_configuration.type
@property
def manufacturer_cluster(self) -> TuyaEnergyMeterManufCluster:
"""Returns the device's manufacturer cluster."""
return getattr(
self.endpoint.device.endpoints[TUYA_MCU_ENDPOINT_ID],
TuyaEnergyMeterManufCluster.ep_attribute,
)
def attr_present(
self,
*attr_names: str,
ep_attribute: Optional[str] = None,
endpoint_id: Optional[int] = None,
) -> bool:
"""Returns True if any of the specified attributes are provided by the device."""
ep_attribute = ep_attribute or self.ep_attribute
endpoint_id = endpoint_id or self.endpoint.endpoint_id
return any(
attr in self.manufacturer_cluster.mapped_attributes
for attr in tuple(
(ep_attribute, attr_name, endpoint_id) for attr_name in attr_names
)
)
def attr_type(self, attr_name: str) -> Type:
"""Returns the type of the specified attribute."""
return getattr(self.AttributeDefs, attr_name).type
def get_cluster(
self,
channel_or_endpoint_id: Union[Channel, int],
ep_attribute: Optional[str] = None,
):
"""Returns the device cluster for the given channel or endpoint."""
if channel_or_endpoint_id in Channel:
channel_or_endpoint_id = self._CHANNEL_TO_ENDPOINT.get(
(self.channel_configuration_type, channel_or_endpoint_id), None
)
assert channel_or_endpoint_id is not None, "Invalid channel_or_endpoint_id."
return getattr(
self.endpoint.device.endpoints[channel_or_endpoint_id],
ep_attribute or self.ep_attribute,
)
def update_calculated_attribute(self, attr_name: str, calculated_value) -> None:
"""Updates the specified attribute if the calculated value is valid."""
if calculated_value is None:
return
self.update_attribute(attr_name, calculated_value)
class EnergyMeterPowerFlow(EnergyMeterChannel):
"""Methods and properties for handling power flow on Tuya energy meter devices."""
@property
def power_flow(self) -> Optional[PowerFlow]:
"""Returns the channel's current power flow direction."""
return self.manufacturer_cluster.get_optional(
Channel.attr_with_channel("power_flow", self.channel)
)
@power_flow.setter
def power_flow(self, value: PowerFlow) -> None:
"""Updates the channel's power flow direction."""
self.manufacturer_cluster.update_attribute(
Channel.attr_with_channel("power_flow", self.channel), value
)
@property
def suppress_reverse_flow(self) -> bool:
"""Returns True if suppress_reverse_flow is enabled for the channel."""
return self.manufacturer_cluster.get_optional(
Channel.attr_with_channel("suppress_reverse_flow", self.channel), False
)
def _align_unsigned_attribute_with_power_flow(
self, attr_name: str, value
) -> Tuple[str, Any]:
"""Attributes marked as unsigned are aligned with the current power flow direction."""
if attr_name.endswith(UNSIGNED_POWER_ATTR_SUFFIX):
attr_name = attr_name.removesuffix(UNSIGNED_POWER_ATTR_SUFFIX)
value = PowerFlow.align_value(value, self.power_flow)
return attr_name, value
def _suppress_reverse_power_flow(self, attr_name: str, value) -> Optional[Any]:
"""Returns 0 if suppress_reverse_flow is enabled for the channel and power flow is reverse."""
if self.suppress_reverse_flow and (
attr_name in self._EXTENSIVE_ATTRIBUTES
and self.power_flow == PowerFlow.REVERSE
or attr_name in self._CUMULATIVE_REVERSE_ATTRIBUTES
):
value = 0
return value
def power_flow_handler(self, attr_name: str, value) -> Tuple[str, Any]:
"""Orchestrates processing of directional attributes."""
attr_name, value = self._align_unsigned_attribute_with_power_flow(
attr_name, value
)
value = self._suppress_reverse_power_flow(attr_name, value)
return attr_name, value
class PowerFlowPreemptConfiguration:
"""Contains the parameters for preempting power_flow direction."""
def __init__(
self,
source_channels: tuple = (),
trigger_channel: Optional[Channel] = None,
preempt_method: Optional[Callable] = None,
) -> None:
self.source_channels = source_channels
self.trigger_channel = trigger_channel
self.preempt_method = preempt_method
class PowerFlowPreempt(EnergyMeterPowerFlow, EnergyMeterChannel):
"""Logic for preempting delayed power flow direction change on 2 channel devices."""
HOLD = "hold"
PREEMPT = "preempt"
RELEASE = "release"
@property
def power_flow_preempt(self) -> bool:
"""Returns True if power_flow_preempt is enabled for the device."""
return self.manufacturer_cluster.get_optional("power_flow_preempt", False)
def __init__(self, *args, **kwargs):
"""Init."""
self._preempt_values: Dict[str, Optional[int]] = {}
super().__init__(*args, **kwargs)
def _preempt_grid_plus_production(self, attr_name: str) -> None:
"""Power flow preempt method for grid_plus_production configured devices."""
cluster_a = self.get_cluster(Channel.A)
cluster_b = self.get_cluster(Channel.B)
value_a = cluster_a._get_preempt_value(attr_name)
value_b = cluster_b._get_preempt_value(attr_name)
if None in (value_a, value_b):
return
cluster_a.power_flow = (
PowerFlow.FORWARD
if cluster_a.power_flow == PowerFlow.REVERSE and abs(value_a) > abs(value_b)
else cluster_a.power_flow
)
cluster_b.power_flow = (
PowerFlow.FORWARD
if cluster_b.power_flow == PowerFlow.REVERSE and abs(value_b) > abs(value_a)
else cluster_b.power_flow
)
_PREEMPT_CONFIGURATION: Dict[
ChannelConfiguration, PowerFlowPreemptConfiguration
] = {
ChannelConfiguration.GRID_PLUS_PRODUCTION: PowerFlowPreemptConfiguration(
(Channel.A, Channel.B),
Channel.B,
_preempt_grid_plus_production,
),
}
def _preempt_action(
self, attr_name: str, value: int, trigger_channel: Channel
) -> str:
"""Returns the action for the power flow preempt handler."""
if self.channel == trigger_channel:
return self.PREEMPT
if self._get_preempt_value(attr_name) != value:
return self.HOLD
return self.RELEASE
def _get_preempt_value(self, attr_name: str) -> Optional[int]:
"""Retrieves the value which was held for consideration in the preempt method."""
return self._preempt_values.get(attr_name, None)
def _store_preempt_value(self, attr_name: str, value: Optional[int]) -> None:
"""Stores the value for consideration in the preempt method."""
self._preempt_values[attr_name] = value
def _release_preempt_values(
self, attr_name: str, source_channels: Tuple[Channel], trigger_channel: Channel
) -> None:
"""Releases held values to update the cluster attributes following the preempt method."""
for channel in source_channels:
cluster = self.get_cluster(channel)
if channel != trigger_channel:
value = cluster._get_preempt_value(attr_name)
if value is not None:
cluster.update_attribute(attr_name, value)
cluster._store_preempt_value(attr_name, None)
def power_flow_preempt_handler(self, attr_name: str, value) -> Optional[str]:
"""Compensates for delay in reported power flow direction."""
if (
not self.power_flow_preempt
or attr_name.removesuffix(UNSIGNED_POWER_ATTR_SUFFIX)
not in self._EXTENSIVE_ATTRIBUTES
or not self.attr_present(attr_name)
):
return
config = self._PREEMPT_CONFIGURATION.get(
self.channel_configuration, PowerFlowPreemptConfiguration()
)
if not config.preempt_method or self.channel not in config.source_channels:
return
action = self._preempt_action(attr_name, value, config.trigger_channel)
if action != self.RELEASE:
self._store_preempt_value(attr_name, value)
if action != self.PREEMPT:
return action
config.preempt_method(self, attr_name)
self._release_preempt_values(
attr_name, config.source_channels, config.trigger_channel
)
return action
class VirtualChannelConfiguration:
"""Contains the parameters for updating a virtual channel."""
def __init__(
self,
virtual_channel: Optional[Channel] = None,
source_channels: tuple = (),
trigger_channel: Optional[Channel] = None,
discrete_method: Optional[Callable] = None,
cumulative_method: Optional[Callable] = None,
) -> None:
self.virtual_channel = virtual_channel
self.source_channels = source_channels
self.trigger_channel = trigger_channel
self.discrete_method = discrete_method
self.cumulative_method = cumulative_method
class VirtualChannel(EnergyMeterPowerFlow, EnergyMeterChannel):
"""Methods and properties for updating virtual energy meter channel attributes."""
@property
def virtual_channel(self) -> Optional[Channel]:
"""Returns the virtual channel for the current configuration."""
return self._VIRTUAL_CHANNEL_CONFIGURATION.get(
self.channel_configuration,
VirtualChannelConfiguration(),
).virtual_channel
def __init__(self, *args, **kwargs):
"""Init."""
self._virtual_channel_stored_values: Dict[str, Dict[str, int]] = {}
super().__init__(*args, **kwargs)
def _a_plus_b(self, attr_name: str) -> Optional[int]:
"""Method for calculating virtual channel values in a_plus_b configuration types."""
cluster_a = self.get_cluster(Channel.A)
cluster_b = self.get_cluster(Channel.B)
value_a = cluster_a.get(attr_name)
value_b = cluster_b.get(attr_name)
if None in (value_a, value_b):
return
if attr_name in self._EXTENSIVE_ATTRIBUTES and is_type_uint(
self.attr_type(attr_name)
):
value_a = PowerFlow.align_value(value_a, cluster_a.power_flow)
value_b = PowerFlow.align_value(value_b, cluster_b.power_flow)
return value_a + value_b
def _a_minus_b(self, attr_name: str) -> Optional[int]:
"""Method for calculating virtual channel values in a_minus_b configuration types."""
cluster_a = self.get_cluster(Channel.A)
cluster_b = self.get_cluster(Channel.B)
value_a = cluster_a.get(attr_name)
value_b = cluster_b.get(attr_name)
if None in (value_a, value_b):
return
if attr_name in self._EXTENSIVE_ATTRIBUTES and is_type_uint(
self.attr_type(attr_name)
):
value_a = PowerFlow.align_value(value_a, cluster_a.power_flow)
value_b = PowerFlow.align_value(value_b, cluster_b.power_flow)
return value_a - value_b
def _cumulative_grid_plus_production(self, attr_name: str) -> Optional[t.uint_t]:
"""Method for calculating cumulative virtual channel values in grid_plus_production configuration."""
if attr_name in self._CUMULATIVE_REVERSE_ATTRIBUTES:
return 0
inv_attr_name = self._INVERSE_ATTRIBUTES.get(attr_name, None)
assert (
inv_attr_name is not None
), "An inverse attribute must be defined for cumulative values."
cluster_a = self.get_cluster(Channel.A)
cluster_b = self.get_cluster(Channel.B)
value_a = cluster_a.get(attr_name)
value_a_inv = cluster_a.get(inv_attr_name)
value_b = cluster_b.get(attr_name)
value_b_inv = cluster_b.get(inv_attr_name)
if None in (value_a, value_a_inv, value_b, value_b_inv):
return
return (value_a + value_b) - (value_a_inv + value_b_inv)
def _cumulative_consumption_minus_production(
self, attr_name: str
) -> Optional[t.uint_t]:
"""Method for calculating cumulative virtual channel values in consumption_minus_production configuration."""
inv_attr_name = self._INVERSE_ATTRIBUTES.get(attr_name, None)
assert (
inv_attr_name is not None
), "An inverse attribute must be defined for cumulative values."
cluster_a = self.get_cluster(Channel.A)
cluster_b = self.get_cluster(Channel.B)
cluster_ab = self.get_cluster(Channel.AB)
value_a = cluster_a.get(attr_name)
value_a_inv = cluster_a.get(inv_attr_name)
value_b = cluster_b.get(attr_name)
value_b_inv = cluster_b.get(inv_attr_name)
value_ab = cluster_ab.get(attr_name, 0)
value_a_prev = cluster_a._get_previous_value(attr_name)
value_a_inv_prev = cluster_a._get_previous_value(inv_attr_name, attr_name)
value_b_prev = cluster_a._get_previous_value(attr_name)
value_b_inv_prev = cluster_b._get_previous_value(inv_attr_name, attr_name)
cluster_a._store_current_value(attr_name)
cluster_a._store_current_value(inv_attr_name, attr_name)
cluster_b._store_current_value(attr_name)
cluster_b._store_current_value(inv_attr_name, attr_name)
if None in (value_a, value_a_inv, value_b, value_b_inv):
return
delta = (value_a - value_a_prev) - (value_b - value_b_prev)
delta_inv = (value_a_inv - value_a_inv_prev) - (value_b_inv - value_b_inv_prev)
return (
value_ab + (delta if delta > 0 else 0) - (delta_inv if delta_inv < 0 else 0)
)
_VIRTUAL_CHANNEL_CONFIGURATION: Dict[
ChannelConfiguration, VirtualChannelConfiguration
] = {
ChannelConfiguration.A_PLUS_B: VirtualChannelConfiguration(
Channel.AB,
(Channel.A, Channel.B),
Channel.B,
_a_plus_b,
_a_plus_b,
),
ChannelConfiguration.A_MINUS_B: VirtualChannelConfiguration(
Channel.AB,
(Channel.A, Channel.B),
Channel.B,
_a_minus_b,
_a_minus_b,
),
ChannelConfiguration.GRID_PLUS_PRODUCTION: VirtualChannelConfiguration(
Channel.AB,
(Channel.A, Channel.B),
Channel.B,
_a_plus_b,
_cumulative_grid_plus_production,
),
ChannelConfiguration.CONSUMPTION_MINUS_PRODUCTION: VirtualChannelConfiguration(
Channel.AB,
(Channel.A, Channel.B),
Channel.B,
_a_minus_b,
_cumulative_consumption_minus_production,
),
}
def _get_previous_value(
self, attr_name: str, child_key: Optional[str] = None
) -> Optional[int]:
"""Returns the stored value of the attribute."""
child_key = child_key if child_key else attr_name
if attr_name in self._virtual_channel_stored_values:
return self._virtual_channel_stored_values[attr_name].get(
child_key, self._virtual_channel_stored_values[attr_name][attr_name]
)
else:
return self.get(attr_name)
def _store_current_value(
self, attr_name: str, child_key: Optional[str] = None
) -> None:
"""Stores the current value of the attribute."""
child_key = child_key if child_key else attr_name
value = self.get(attr_name)
if attr_name in self._virtual_channel_stored_values:
self._virtual_channel_stored_values[attr_name][child_key] = value
else:
self._virtual_channel_stored_values[attr_name] = {child_key: value}
def virtual_channel_initial_values(self, attr_name: str, value):
"""Retains the initial attribute value for use in delta calculations."""
if (
attr_name in self._CUMULATIVE_ATTRIBUTES
and ChannelConfiguration.CONSUMPTION_MINUS_PRODUCTION
in self.channel_configuration_type
and attr_name not in self._virtual_channel_stored_values
):
self._store_current_value(attr_name)
def virtual_channel_handler(self, attr_name: str) -> None:
"""Handles updates to a virtual energy meter channel."""
config = self._VIRTUAL_CHANNEL_CONFIGURATION.get(
self.channel_configuration,
VirtualChannelConfiguration(),
)
if (
self.channel not in config.source_channels
or self.channel != config.trigger_channel
and attr_name not in self._CUMULATIVE_ATTRIBUTES
):
return
method = None
if attr_name in self._EXTENSIVE_ATTRIBUTES:
method = config.discrete_method
elif attr_name in self._CUMULATIVE_ATTRIBUTES:
method = config.cumulative_method
if not method:
return
virtual_value = method(self, attr_name)
if virtual_value is None:
return
virtual_cluster = self.get_cluster(config.virtual_channel)
virtual_cluster.update_attribute(attr_name, virtual_value)
class TuyaElectricalMeasurement(
VirtualChannel,
PowerFlowPreempt,
EnergyMeterPowerFlow,
EnergyMeterChannel,
TuyaLocalCluster,
TuyaZBElectricalMeasurement,
):
"""ElectricalMeasurement cluster for Tuya energy meter devices."""
_CONSTANT_ATTRIBUTES: Dict[int, Any] = {
**TuyaZBElectricalMeasurement._CONSTANT_ATTRIBUTES,
TuyaZBElectricalMeasurement.AttributeDefs.ac_frequency_divisor.id: 100,
TuyaZBElectricalMeasurement.AttributeDefs.ac_frequency_multiplier.id: 1,
TuyaZBElectricalMeasurement.AttributeDefs.ac_power_divisor.id: 10,
TuyaZBElectricalMeasurement.AttributeDefs.ac_power_multiplier.id: 1,
TuyaZBElectricalMeasurement.AttributeDefs.ac_voltage_divisor.id: 10,
TuyaZBElectricalMeasurement.AttributeDefs.ac_voltage_multiplier.id: 1,
}
_ATTRIBUTE_MEASUREMENT_TYPES: Dict[str, MeasurementType] = {
"active_power": MeasurementType.Active_measurement_AC
| MeasurementType.Phase_A_measurement,
"active_power_ph_b": MeasurementType.Active_measurement_AC
| MeasurementType.Phase_B_measurement,
"active_power_ph_c": MeasurementType.Active_measurement_AC
| MeasurementType.Phase_C_measurement,
"reactive_power": MeasurementType.Reactive_measurement_AC
| MeasurementType.Phase_A_measurement,
"reactive_power_ph_b": MeasurementType.Reactive_measurement_AC
| MeasurementType.Phase_B_measurement,
"reactive_power_ph_c": MeasurementType.Reactive_measurement_AC
| MeasurementType.Phase_C_measurement,
"apparent_power": MeasurementType.Apparent_measurement_AC
| MeasurementType.Phase_A_measurement,
"apparent_power_ph_b": MeasurementType.Apparent_measurement_AC
| MeasurementType.Phase_B_measurement,
"apparent_power_ph_c": MeasurementType.Apparent_measurement_AC
| MeasurementType.Phase_C_measurement,
}
_EXTENSIVE_ATTRIBUTES: Tuple[str] = (
"active_power",
"apparent_power",
"reactive_power",
"rms_current",
)
_INTENSIVE_ATTRIBUTES: Tuple[str] = ("rms_voltage",)
def calculated_attributes(self, attr_name: str, value) -> None:
"""Calculates attributes that are not reported by the device."""
if (
self.channel == self.virtual_channel
): # Attributes are not calculated for the virtual channel.
return
if attr_name == "apparent_power" and not self.attr_present("active_power"):
self.update_calculated_attribute(
"active_power",
PowerCalculation.active_power_from_apparent_power_power_factor_and_power_flow(
value, self.get("power_factor"), self.power_flow
),
)
if attr_name == "apparent_power" and not self.attr_present("reactive_power"):
self.update_calculated_attribute(
"reactive_power",
PowerCalculation.reactive_power_from_apparent_power_and_power_factor(
value, self.get("power_factor")
),
)
if attr_name == "active_power" and not self.attr_present(
"apparent_power", "rms_current"
):
self.update_calculated_attribute(
"apparent_power",
PowerCalculation.apparent_power_from_active_power_and_power_factor(
value, self.get("power_factor")
),
)
if attr_name == "rms_current" and not self.attr_present("apparent_power"):
self.update_calculated_attribute(
"apparent_power",
PowerCalculation.apparent_power_from_rms_current_and_rms_voltage(
value,
self.get("rms_voltage")
or self.get_cluster(Channel.A).get("rms_voltage"),
self.get("ac_current_divisor", 1),
self.get("ac_current_multiplier", 1),
self.get("ac_voltage_divisor", 1),
self.get("ac_voltage_multiplier", 1),
self.get("ac_power_divisor", 1),
self.get("ac_power_multiplier", 1),
),
)
def update_attribute(self, attr_name: str, value) -> None:
"""Updates the cluster attribute."""
if self.power_flow_preempt_handler(attr_name, value) == PowerFlowPreempt.HOLD:
return
attr_name, value = self.power_flow_handler(attr_name, value)
self.update_measurement_type(attr_name)
self.calculated_attributes(attr_name, value)
self.virtual_channel_initial_values(attr_name, value)
super().update_attribute(attr_name, value)
self.virtual_channel_handler(attr_name)
def update_measurement_type(self, attr_name: str) -> None:
"""Derives the measurement type from reported attributes."""
if attr_name not in self._ATTRIBUTE_MEASUREMENT_TYPES:
return
measurement_type = 0
for measurement, mask in self._ATTRIBUTE_MEASUREMENT_TYPES.items():
if measurement == attr_name or self.get(measurement) is not None:
measurement_type |= mask
super().update_attribute("measurement_type", measurement_type)
class TuyaMetering(
VirtualChannel,
PowerFlowPreempt,
EnergyMeterPowerFlow,
EnergyMeterChannel,
TuyaLocalCluster,
TuyaZBMeteringClusterWithUnit,
):
"""Metering cluster for Tuya energy meter devices."""
_CONSTANT_ATTRIBUTES: Dict[int, Any] = {
**TuyaZBMeteringClusterWithUnit._CONSTANT_ATTRIBUTES,
TuyaZBMeteringClusterWithUnit.AttributeDefs.status.id: 0x00,
TuyaZBMeteringClusterWithUnit.AttributeDefs.multiplier.id: 1,
TuyaZBMeteringClusterWithUnit.AttributeDefs.divisor.id: 10000, # 1 decimal place after conversion from kW to W
TuyaZBMeteringClusterWithUnit.AttributeDefs.summation_formatting.id: Metering.format(
7, 2, True
),
TuyaZBMeteringClusterWithUnit.AttributeDefs.demand_formatting.id: Metering.format(
7, 1, True
),
}
_EXTENSIVE_ATTRIBUTES: Tuple[str] = ("instantaneous_demand",)
_CUMULATIVE_FORWARD_ATTRIBUTES: Tuple[str] = ("current_summ_delivered",)
_CUMULATIVE_REVERSE_ATTRIBUTES: Tuple[str] = ("current_summ_received",)
_INVERSE_ATTRIBUTES: Dict[str, str] = {
"current_summ_delivered": "current_summ_received",
}
def update_attribute(self, attr_name: str, value) -> None:
"""Updates the cluster attribute."""
if self.power_flow_preempt_handler(attr_name, value) == PowerFlowPreempt.HOLD:
return
attr_name, value = self.power_flow_handler(attr_name, value)
self.virtual_channel_initial_values(attr_name, value)
super().update_attribute(attr_name, value)
self.virtual_channel_handler(attr_name)
class TuyaEnergyMeterManufCluster_1CH(
TuyaEnergyMeterManufCluster, configuration_type=ChannelConfiguration_1CH
):
"""Tuya 1 channel energy meter manufacturer cluster."""
TUYA_DP_CURRENT_SUMM_DELIVERED = 101
TUYA_DP_INSTANTANEOUS_DEMAND_UINT = 19
TUYA_DP_RMS_CURRENT = 18
TUYA_DP_RMS_VOLTAGE = 20
dp_to_attribute: Dict[int, DPToAttributeMapping] = {
TUYA_DP_CURRENT_SUMM_DELIVERED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
converter=lambda x: x * 10,
),
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand",
),
TUYA_DP_RMS_CURRENT: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_current",
),
TUYA_DP_RMS_VOLTAGE: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_voltage",
),
}
data_point_handlers = {
TUYA_DP_CURRENT_SUMM_DELIVERED: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT: "_dp_2_attr_update",
TUYA_DP_RMS_VOLTAGE: "_dp_2_attr_update",
}
class TuyaEnergyMeterManufCluster_1CHB(
TuyaEnergyMeterManufCluster,
configuration_type=ChannelConfiguration_1CHB,
):
"""Tuya 1 channel bidirectional energy meter manufacturer cluster."""
TUYA_DP_CURRENT_SUMM_DELIVERED = 1
TUYA_DP_CURRENT_SUMM_RECEIVED = 2
TUYA_DP_INSTANTANEOUS_DEMAND_UINT = 101
TUYA_DP_POWER_FLOW = 102
TUYA_DP_POWER_PHASE = 6
dp_to_attribute: Dict[int, DPToAttributeMapping] = {
TUYA_DP_CURRENT_SUMM_DELIVERED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_RECEIVED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_received",
converter=lambda x: x * 100,
),
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand" + UNSIGNED_POWER_ATTR_SUFFIX,
converter=lambda x: x * 10,
),
TUYA_DP_POWER_FLOW: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"power_flow",
converter=lambda x: PowerFlow(x),
),
TUYA_DP_POWER_PHASE: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
(
"rms_voltage",
"rms_current",
"active_power" + UNSIGNED_POWER_ATTR_SUFFIX,
),
converter=lambda x: TuyaPowerPhase.variant_3(x),
),
}
data_point_handlers = {
TUYA_DP_CURRENT_SUMM_DELIVERED: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: "_dp_2_attr_update",
TUYA_DP_POWER_FLOW: "_dp_2_attr_update",
TUYA_DP_POWER_PHASE: "_dp_2_attr_update",
}
class TuyaEnergyMeterManufCluster_2CHB_MatSeePlus(
TuyaEnergyMeterManufCluster, configuration_type=ChannelConfiguration_2CHB
):
"""MatSee Plus Tuya 2 channel bidirectional energy meter manufacturer cluster."""
_ATTRIBUTE_DEFAULTS: Dict[int, Any] = {
POWER_FLOW_PREEMPT: True,
}
TUYA_DP_AC_FREQUENCY = 111
TUYA_DP_AC_FREQUENCY_COEF = 122
TUYA_DP_CURRENT_SUMM_DELIVERED = 106
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF = 119
TUYA_DP_CURRENT_SUMM_DELIVERED_B = 108
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF_B = 125
TUYA_DP_CURRENT_SUMM_RECEIVED = 107
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF = 127
TUYA_DP_CURRENT_SUMM_RECEIVED_B = 109
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF_B = 128
TUYA_DP_INSTANTANEOUS_DEMAND_UINT = 101
TUYA_DP_INSTANTANEOUS_DEMAND_UINT_B = 105
TUYA_DP_INSTANTANEOUS_DEMAND_COEF = 118
TUYA_DP_INSTANTANEOUS_DEMAND_COEF_B = 124
TUYA_DP_POWER_FACTOR = 110
TUYA_DP_POWER_FACTOR_B = 121
TUYA_DP_POWER_FLOW = 102
TUYA_DP_POWER_FLOW_B = 104
TUYA_DP_UPDATE_PERIOD = 129
TUYA_DP_RMS_CURRENT = 113
TUYA_DP_RMS_CURRENT_COEF = 117
TUYA_DP_RMS_CURRENT_B = 114
TUYA_DP_RMS_CURRENT_COEF_B = 123
TUYA_DP_RMS_VOLTAGE = 112
TUYA_DP_RMS_VOLTAGE_COEF = 116
dp_to_attribute: Dict[int, DPToAttributeMapping] = {
TUYA_DP_AC_FREQUENCY: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"ac_frequency",
),
TUYA_DP_AC_FREQUENCY_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"ac_frequency_coefficient",
),
TUYA_DP_CURRENT_SUMM_DELIVERED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_DELIVERED_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
endpoint_id=2,
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"current_summ_delivered_coefficient",
),
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"current_summ_delivered_coefficient_ch_b",
),
TUYA_DP_CURRENT_SUMM_RECEIVED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_received",
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_RECEIVED_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_received",
endpoint_id=2,
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"current_summ_received_coefficient",
),
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"current_summ_received_coefficient_ch_b",
),
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand" + UNSIGNED_POWER_ATTR_SUFFIX,
),
TUYA_DP_INSTANTANEOUS_DEMAND_UINT_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand" + UNSIGNED_POWER_ATTR_SUFFIX,
endpoint_id=2,
),
TUYA_DP_INSTANTANEOUS_DEMAND_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"instantaneous_demand_coefficient",
),
TUYA_DP_INSTANTANEOUS_DEMAND_COEF_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"instantaneous_demand_coefficient_ch_b",
),
TUYA_DP_POWER_FACTOR: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"power_factor",
),
TUYA_DP_POWER_FACTOR_B: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"power_factor",
endpoint_id=2,
),
TUYA_DP_POWER_FLOW: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"power_flow",
converter=lambda x: PowerFlow(x),
),
TUYA_DP_POWER_FLOW_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"power_flow_ch_b",
converter=lambda x: PowerFlow(x),
),
TUYA_DP_RMS_CURRENT: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_current",
),
TUYA_DP_RMS_CURRENT_B: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_current",
endpoint_id=2,
),
TUYA_DP_RMS_CURRENT_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"rms_current_coefficient",
),
TUYA_DP_RMS_CURRENT_COEF_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"rms_current_coefficient_ch_b",
),
TUYA_DP_RMS_VOLTAGE: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_voltage",
),
TUYA_DP_RMS_VOLTAGE_COEF: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"rms_voltage_coefficient",
),
TUYA_DP_UPDATE_PERIOD: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"update_period",
),
}
data_point_handlers = {
TUYA_DP_AC_FREQUENCY: "_dp_2_attr_update",
TUYA_DP_AC_FREQUENCY_COEF: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED_B: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED_COEF_B: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED_B: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED_COEF_B: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_UINT: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_UINT_B: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_COEF: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_COEF_B: "_dp_2_attr_update",
TUYA_DP_POWER_FACTOR: "_dp_2_attr_update",
TUYA_DP_POWER_FACTOR_B: "_dp_2_attr_update",
TUYA_DP_POWER_FLOW: "_dp_2_attr_update",
TUYA_DP_POWER_FLOW_B: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT_B: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT_COEF: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT_COEF_B: "_dp_2_attr_update",
TUYA_DP_RMS_VOLTAGE: "_dp_2_attr_update",
TUYA_DP_RMS_VOLTAGE_COEF: "_dp_2_attr_update",
TUYA_DP_UPDATE_PERIOD: "_dp_2_attr_update",
}
class TuyaEnergyMeterManufCluster_2CHB_EARU(
TuyaEnergyMeterManufCluster, configuration_type=ChannelConfiguration_2CHB
):
"""EARU Tuya 2 channel bidirectional energy meter manufacturer cluster."""
TUYA_DP_AC_FREQUENCY = 113
TUYA_DP_CURRENT_SUMM_DELIVERED = 101
TUYA_DP_CURRENT_SUMM_DELIVERED_B = 103
TUYA_DP_CURRENT_SUMM_RECEIVED = 102
TUYA_DP_CURRENT_SUMM_RECEIVED_B = 104
TUYA_DP_INSTANTANEOUS_DEMAND = 108
TUYA_DP_INSTANTANEOUS_DEMAND_B = 111
TUYA_DP_POWER_FACTOR = 109
TUYA_DP_POWER_FACTOR_B = 112
TUYA_DP_POWER_FLOW = 114
TUYA_DP_POWER_FLOW_B = 115
TUYA_DP_UPDATE_PERIOD = 116
TUYA_DP_RMS_CURRENT = 107
TUYA_DP_RMS_CURRENT_B = 110
TUYA_DP_RMS_VOLTAGE = 106
dp_to_attribute: Dict[int, DPToAttributeMapping] = {
TUYA_DP_AC_FREQUENCY: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"ac_frequency",
),
TUYA_DP_CURRENT_SUMM_DELIVERED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_DELIVERED_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_delivered",
endpoint_id=2,
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_RECEIVED: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_received",
converter=lambda x: x * 100,
),
TUYA_DP_CURRENT_SUMM_RECEIVED_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"current_summ_received",
endpoint_id=2,
converter=lambda x: x * 100,
),
TUYA_DP_INSTANTANEOUS_DEMAND: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand",
),
TUYA_DP_INSTANTANEOUS_DEMAND_B: DPToAttributeMapping(
TuyaMetering.ep_attribute,
"instantaneous_demand",
endpoint_id=2,
),
TUYA_DP_POWER_FACTOR: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"power_factor",
),
TUYA_DP_POWER_FACTOR_B: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"power_factor",
endpoint_id=2,
),
TUYA_DP_POWER_FLOW: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"power_flow",
converter=lambda x: PowerFlow(x),
),
TUYA_DP_POWER_FLOW_B: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"power_flow_ch_b",
converter=lambda x: PowerFlow(x),
),
TUYA_DP_RMS_CURRENT: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_current",
),
TUYA_DP_RMS_CURRENT_B: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_current",
endpoint_id=2,
),
TUYA_DP_RMS_VOLTAGE: DPToAttributeMapping(
TuyaElectricalMeasurement.ep_attribute,
"rms_voltage",
),
TUYA_DP_UPDATE_PERIOD: DPToAttributeMapping(
TuyaEnergyMeterManufCluster.ep_attribute,
"update_period",
),
}
data_point_handlers = {
TUYA_DP_AC_FREQUENCY: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_DELIVERED_B: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED: "_dp_2_attr_update",
TUYA_DP_CURRENT_SUMM_RECEIVED_B: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND: "_dp_2_attr_update",
TUYA_DP_INSTANTANEOUS_DEMAND_B: "_dp_2_attr_update",
TUYA_DP_POWER_FACTOR: "_dp_2_attr_update",
TUYA_DP_POWER_FACTOR_B: "_dp_2_attr_update",
TUYA_DP_POWER_FLOW: "_dp_2_attr_update",
TUYA_DP_POWER_FLOW_B: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT: "_dp_2_attr_update",
TUYA_DP_RMS_CURRENT_B: "_dp_2_attr_update",
TUYA_DP_RMS_VOLTAGE: "_dp_2_attr_update",
TUYA_DP_UPDATE_PERIOD: "_dp_2_attr_update",
}
class TuyaEnergyMeter_1CH(CustomDevice):
"""Tuya PJ-MGW1203 1 channel energy meter."""
signature = {
MODELS_INFO: [
("_TZE204_cjbofhxw", "TS0601"),
("_TZE284_cjbofhxw", "TS0601"),
],
ENDPOINTS: {
# <SimpleDescriptor endpoint=1 profile=260 device_type=51
# device_version=1
# input_clusters=[0, 4, 5, 61184]
# output_clusters=[10, 25]>
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.SMART_PLUG,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaMCUCluster.cluster_id,
0xed00
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
}
},
}
replacement = {
ENDPOINTS: {
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaEnergyMeterManufCluster_1CH,
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
}
}
}
class TuyaEnergyMeter_1CHB(CustomDevice):
"""Tuya bidirectional 1 channel energy meter with Zigbee Green Power."""
signature = {
MODELS_INFO: [("_TZE204_ac0fhfiq", "TS0601")],
ENDPOINTS: {
# <SimpleDescriptor endpoint=1 profile=260 device_type=51
# device_version=1
# input_clusters=[0, 4, 5, 61184]
# output_clusters=[10, 25]>
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.SMART_PLUG,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaMCUCluster.cluster_id,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
# <SimpleDescriptor endpoint=242 profile=41440 device_type=97
# input_clusters=[]
# output_clusters=[33]
242: {
PROFILE_ID: zgp.PROFILE_ID,
DEVICE_TYPE: zgp.DeviceType.PROXY_BASIC,
INPUT_CLUSTERS: [],
OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],
},
},
}
replacement = {
ENDPOINTS: {
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaEnergyMeterManufCluster_1CHB,
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
242: {
PROFILE_ID: zgp.PROFILE_ID,
DEVICE_TYPE: zgp.DeviceType.PROXY_BASIC,
INPUT_CLUSTERS: [],
OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],
},
}
}
class TuyaEnergyMeter_2CHB_EARU(CustomDevice):
"""EARU Tuya PC311-Z-TY bidirectional 2 channel energy meter."""
signature = {
MODELS_INFO: [("_TZE200_rks0sgb7", "TS0601")],
ENDPOINTS: {
# <SimpleDescriptor endpoint=1 profile=260 device_type=51
# device_version=1
# input_clusters: [0, 4, 5, 61184, 65382]
# output_clusters=[10, 25]>
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.SMART_PLUG,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaMCUCluster.cluster_id,
EARU_MANUFACTURER_CLUSTER_ID,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
},
}
replacement = {
ENDPOINTS: {
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaEnergyMeterManufCluster_2CHB_EARU,
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
2: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [],
},
3: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [],
},
}
}
class TuyaEnergyMeter_2CHB_MatSeePlus(CustomDevice):
"""MatSee Plus Tuya PJ-1203A 2 channel bidirectional energy meter with Zigbee Green Power."""
signature = {
MODELS_INFO: [("_TZE204_81yrt3lo", "TS0601")],
ENDPOINTS: {
# <SimpleDescriptor endpoint=1 profile=260 device_type=51
# device_version=1
# input_clusters=[0, 4, 5, 61184]
# output_clusters=[10, 25]>
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.SMART_PLUG,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaMCUCluster.cluster_id,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
# <SimpleDescriptor endpoint=242 profile=41440 device_type=97
# input_clusters=[]
# output_clusters=[33]
242: {
PROFILE_ID: zgp.PROFILE_ID,
DEVICE_TYPE: zgp.DeviceType.PROXY_BASIC,
INPUT_CLUSTERS: [],
OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],
},
},
}
replacement = {
ENDPOINTS: {
1: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
Basic.cluster_id,
Groups.cluster_id,
Scenes.cluster_id,
TuyaEnergyMeterManufCluster_2CHB_MatSeePlus,
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [Time.cluster_id, Ota.cluster_id],
},
2: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [],
},
3: {
PROFILE_ID: zha.PROFILE_ID,
DEVICE_TYPE: zha.DeviceType.METER_INTERFACE,
INPUT_CLUSTERS: [
TuyaElectricalMeasurement,
TuyaMetering,
],
OUTPUT_CLUSTERS: [],
},
242: {
PROFILE_ID: zgp.PROFILE_ID,
DEVICE_TYPE: zgp.DeviceType.PROXY_BASIC,
INPUT_CLUSTERS: [],
OUTPUT_CLUSTERS: [GreenPowerProxy.cluster_id],
},
}
} |
|
Thanks @nachogarcia! Finally some progress! It's now applying the quirk and I can manually read the rms_current and rms_voltage attributes, which seem to present realistic values. |
Try reseting (I just cut the power to the whole house I think). This is mine (I don't think it is reporting properly though). |
Great! It's something worth! I can see the entities like yours now It doesn't even seem to reset if I do the long press thing. It just doesn't blink as it should This is what I got: |
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Problem description
The energy meter doesn't display any measurements.
Solution description
It's time for some new quirks
Screenshots/Video
Screenshots/Video
Device signature
Device signature
{ "node_descriptor": "NodeDescriptor(logical_type=<LogicalType.Router: 1>, complex_descriptor_available=0, user_descriptor_available=0, reserved=0, aps_flags=0, frequency_band=<FrequencyBand.Freq2400MHz: 8>, mac_capability_flags=<MACCapabilityFlags.FullFunctionDevice|MainsPowered|RxOnWhenIdle|AllocateAddress: 142>, manufacturer_code=4098, maximum_buffer_size=82, maximum_incoming_transfer_size=82, server_mask=11264, maximum_outgoing_transfer_size=82, descriptor_capability_field=<DescriptorCapability.NONE: 0>, *allocate_address=True, *is_alternate_pan_coordinator=False, *is_coordinator=False, *is_end_device=False, *is_full_function_device=True, *is_mains_powered=True, *is_receiver_on_when_idle=True, *is_router=True, *is_security_capable=False)", "endpoints": { "1": { "profile_id": "0x0104", "device_type": "0x0051", "input_clusters": [ "0x0000", "0x0004", "0x0005", "0xed00", "0xef00" ], "output_clusters": [ "0x000a", "0x0019" ] } }, "manufacturer": "_TZE284_cjbofhxw", "model": "TS0601", "class": "zigpy.device.Device" }``` </details> ### Diagnostic information <details><summary>Diagnostic information</summary> ```json [Paste the diagnostic information here]Logs
Logs
Custom quirk
Custom quirk
Additional information
It works for me
https://pl.aliexpress.com/item/1005005994777032.html?spm=a2g0o.order_list.order_list_main.5.51dc1c24SJTQMe&gatewayAdapt=glo2pol
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