| # |
| # Copyright (c) 2021 Project CHIP Authors |
| # All rights reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| # Needed to use types in type hints before they are fully defined. |
| from __future__ import annotations |
| |
| import builtins |
| import ctypes |
| import inspect |
| import logging |
| import sys |
| from asyncio.futures import Future |
| from ctypes import CFUNCTYPE, POINTER, c_size_t, c_uint8, c_uint16, c_uint32, c_uint64, c_void_p, cast, py_object |
| from dataclasses import dataclass, field |
| from enum import Enum, unique |
| from typing import Any, Callable, Dict, List, Optional, Tuple, Union |
| |
| import chip |
| import chip.exceptions |
| import chip.interaction_model |
| import chip.tlv |
| import construct |
| from chip.interaction_model import PyWriteAttributeData |
| from chip.native import ErrorSDKPart, PyChipError |
| from rich.pretty import pprint |
| |
| from .ClusterObjects import Cluster, ClusterAttributeDescriptor, ClusterEvent |
| |
| |
| @unique |
| class EventTimestampType(Enum): |
| SYSTEM = 0 |
| EPOCH = 1 |
| |
| |
| @unique |
| class EventPriority(Enum): |
| DEBUG = 0 |
| INFO = 1 |
| CRITICAL = 2 |
| |
| |
| @dataclass |
| class AttributePath: |
| EndpointId: int = None |
| ClusterId: int = None |
| AttributeId: int = None |
| |
| def __init__(self, EndpointId: int = None, Cluster=None, Attribute=None, ClusterId=None, AttributeId=None): |
| self.EndpointId = EndpointId |
| if Cluster is not None: |
| # Wildcard read for a specific cluster |
| if (Attribute is not None) or (ClusterId is not None) or (AttributeId is not None): |
| raise Warning( |
| "Attribute, ClusterId and AttributeId is ignored when Cluster is specified") |
| self.ClusterId = Cluster.id |
| return |
| if Attribute is not None: |
| if (ClusterId is not None) or (AttributeId is not None): |
| raise Warning( |
| "ClusterId and AttributeId is ignored when Attribute is specified") |
| self.ClusterId = Attribute.cluster_id |
| self.AttributeId = Attribute.attribute_id |
| return |
| self.ClusterId = ClusterId |
| self.AttributeId = AttributeId |
| |
| def __str__(self) -> str: |
| return f"{self.EndpointId}/{self.ClusterId}/{self.AttributeId}" |
| |
| def __hash__(self): |
| return str(self).__hash__() |
| |
| |
| @dataclass |
| class DataVersionFilter: |
| EndpointId: int = None |
| ClusterId: int = None |
| DataVersion: int = None |
| |
| def __init__(self, EndpointId: int = None, Cluster=None, ClusterId=None, DataVersion=None): |
| self.EndpointId = EndpointId |
| if Cluster is not None: |
| # Wildcard read for a specific cluster |
| if (ClusterId is not None): |
| raise Warning( |
| "Attribute, ClusterId and AttributeId is ignored when Cluster is specified") |
| self.ClusterId = Cluster.id |
| else: |
| self.ClusterId = ClusterId |
| self.DataVersion = DataVersion |
| |
| def __str__(self) -> str: |
| return f"{self.EndpointId}/{self.ClusterId}/{self.DataVersion}" |
| |
| def __hash__(self): |
| return str(self).__hash__() |
| |
| |
| @dataclass |
| class TypedAttributePath: |
| ''' Encapsulates an attribute path that has strongly typed references to cluster and attribute |
| cluster object types. These types serve as keys into the attribute cache. |
| ''' |
| ClusterType: Cluster = None |
| AttributeType: ClusterAttributeDescriptor = None |
| AttributeName: str = None |
| Path: AttributePath = None |
| |
| def __init__(self, ClusterType: Cluster = None, AttributeType: ClusterAttributeDescriptor = None, |
| Path: AttributePath = None): |
| ''' Only one of either ClusterType and AttributeType OR Path may be provided. |
| ''' |
| |
| # |
| # First, let's populate ClusterType and AttributeType. If it's already provided, |
| # we can continue onwards to deriving the label. Otherwise, we'll need to |
| # walk the attribute index to find the right type information. |
| # |
| if (ClusterType is not None and AttributeType is not None): |
| self.ClusterType = ClusterType |
| self.AttributeType = AttributeType |
| else: |
| if (Path is None): |
| raise ValueError("Path should have a valid value") |
| |
| for cluster, attribute in _AttributeIndex: |
| attributeType = _AttributeIndex[(cluster, attribute)][0] |
| clusterType = _AttributeIndex[(cluster, attribute)][1] |
| |
| if (clusterType.id == Path.ClusterId and attributeType.attribute_id == Path.AttributeId): |
| self.ClusterType = clusterType |
| self.AttributeType = attributeType |
| break |
| |
| if (self.ClusterType is None or self.AttributeType is None): |
| raise KeyError(f"No Schema found for Attribute {Path}") |
| |
| # Next, let's figure out the label. |
| for c_field in self.ClusterType.descriptor.Fields: |
| if (c_field.Tag != self.AttributeType.attribute_id): |
| continue |
| |
| self.AttributeName = c_field.Label |
| |
| if (self.AttributeName is None): |
| raise KeyError(f"Unable to resolve name for Attribute {Path}") |
| |
| self.Path = Path |
| self.ClusterId = self.ClusterType.id |
| self.AttributeId = self.AttributeType.attribute_id |
| |
| |
| @dataclass |
| class EventPath: |
| EndpointId: int = None |
| ClusterId: int = None |
| EventId: int = None |
| Urgent: int = None |
| |
| def __init__(self, EndpointId: int = None, Cluster=None, Event=None, ClusterId=None, EventId=None, Urgent=None): |
| self.EndpointId = EndpointId |
| self.Urgent = Urgent |
| if Cluster is not None: |
| # Wildcard read for a specific cluster |
| if (Event is not None) or (ClusterId is not None) or (EventId is not None): |
| raise Warning( |
| "Event, ClusterId and AttributeId is ignored when Cluster is specified") |
| self.ClusterId = Cluster.id |
| return |
| if Event is not None: |
| if (ClusterId is not None) or (EventId is not None): |
| raise Warning( |
| "ClusterId and EventId is ignored when Event is specified") |
| self.ClusterId = Event.cluster_id |
| self.EventId = Event.event_id |
| return |
| self.ClusterId = ClusterId |
| self.EventId = EventId |
| |
| def __str__(self) -> str: |
| return f"{self.EndpointId}/{self.ClusterId}/{self.EventId}/{self.Urgent}" |
| |
| def __hash__(self): |
| return str(self).__hash__() |
| |
| |
| @dataclass |
| class AttributePathWithListIndex(AttributePath): |
| ListIndex: int = None |
| |
| |
| @dataclass |
| class EventHeader: |
| EndpointId: int = None |
| ClusterId: int = None |
| EventId: int = None |
| EventNumber: int = None |
| Priority: EventPriority = None |
| Timestamp: int = None |
| TimestampType: EventTimestampType = None |
| |
| def __init__(self, EndpointId: int = None, ClusterId: int = None, |
| EventId: int = None, EventNumber=None, Priority=None, Timestamp=None, TimestampType=None): |
| self.EndpointId = EndpointId |
| self.ClusterId = ClusterId |
| self.EventId = EventId |
| self.EventNumber = EventNumber |
| self.Priority = Priority |
| self.Timestamp = Timestamp |
| self.TimestampType = TimestampType |
| |
| def __str__(self) -> str: |
| return (f"{self.EndpointId}/{self.ClusterId}/{self.EventId}/" |
| f"{self.EventNumber}/{self.Priority}/{self.Timestamp}/{self.TimestampType}") |
| |
| |
| @dataclass |
| class AttributeStatus: |
| Path: AttributePath |
| Status: Union[chip.interaction_model.Status, int] |
| |
| |
| @dataclass |
| class EventStatus: |
| Header: EventHeader |
| Status: chip.interaction_model.Status |
| |
| |
| AttributeWriteResult = AttributeStatus |
| |
| |
| @dataclass |
| class AttributeDescriptorWithEndpoint: |
| EndpointId: int |
| Attribute: ClusterAttributeDescriptor |
| DataVersion: int |
| HasDataVersion: int |
| |
| |
| @dataclass |
| class EventDescriptorWithEndpoint: |
| EndpointId: int |
| Event: ClusterEvent |
| |
| |
| @dataclass |
| class AttributeWriteRequest(AttributeDescriptorWithEndpoint): |
| Data: Any |
| |
| |
| AttributeReadRequest = AttributeDescriptorWithEndpoint |
| EventReadRequest = EventDescriptorWithEndpoint |
| |
| |
| @dataclass |
| class AttributeReadResult(AttributeStatus): |
| Data: Any = None |
| DataVersion: int = 0 |
| |
| |
| @dataclass |
| class ValueDecodeFailure: |
| ''' Encapsulates a failure to decode a TLV value into a cluster object. |
| Some exceptions have custom fields, so run str(ReasonException) to get more info. |
| ''' |
| |
| TLVValue: Any = None |
| Reason: Exception = None |
| |
| |
| @dataclass |
| class EventReadResult(EventStatus): |
| Data: Any = None |
| |
| |
| _AttributeIndex = {} |
| _EventIndex = {} |
| _ClusterIndex = {} |
| |
| |
| def _BuildAttributeIndex(): |
| ''' Build internal attribute index for locating the corresponding cluster object by path in the future. |
| We do this because this operation will take a long time when there are lots of attributes, |
| it takes about 300ms for a single query. |
| This is acceptable during init, but unacceptable when the server returns lots of attributes at the same time. |
| ''' |
| for clusterName, obj in inspect.getmembers(sys.modules['chip.clusters.Objects']): |
| if ('chip.clusters.Objects' in str(obj)) and inspect.isclass(obj): |
| for objName, subclass in inspect.getmembers(obj): |
| if inspect.isclass(subclass) and (('Attributes') in str(subclass)): |
| for attributeName, attribute in inspect.getmembers(subclass): |
| if inspect.isclass(attribute): |
| base_classes = inspect.getmro(attribute) |
| |
| # Only match on classes that extend the ClusterAttributeDescriptor class |
| matched = [ |
| value for value in base_classes if 'ClusterAttributeDescriptor' in str(value)] |
| if (matched == []): |
| continue |
| |
| _AttributeIndex[(attribute.cluster_id, attribute.attribute_id)] = (eval( |
| 'chip.clusters.Objects.' + clusterName + '.Attributes.' + attributeName), obj) |
| |
| |
| def _BuildClusterIndex(): |
| ''' Build internal cluster index for locating the corresponding cluster object by path in the future. |
| ''' |
| for clusterName, obj in inspect.getmembers(sys.modules['chip.clusters.Objects']): |
| if ('chip.clusters.Objects' in str(obj)) and inspect.isclass(obj): |
| _ClusterIndex[obj.id] = obj |
| |
| |
| @dataclass |
| class SubscriptionParameters: |
| MinReportIntervalFloorSeconds: int |
| MaxReportIntervalCeilingSeconds: int |
| |
| |
| class DataVersion: |
| ''' |
| A helper class as a key for getting cluster data version when reading attributes without returnClusterObject. |
| ''' |
| pass |
| |
| |
| @dataclass |
| class AttributeCache: |
| ''' A cache that stores data & errors returned in read/subscribe reports, but organizes it topologically |
| in a collection of nested dictionaries. The organization follows the natural data model composition of |
| the device: endpoint, then cluster, then attribute. |
| |
| TLV data (or ValueDecodeFailure in the case of IM status codes) are stored for each attribute in |
| attributeTLVCache[endpoint][cluster][attribute]. |
| |
| Upon completion of data population, it can be retrieved in a more friendly cluster object format, |
| with two options available. In both options, data is in the dictionary is key'ed not by the raw numeric |
| cluster and attribute IDs, but instead by the cluster object descriptor types for each of those generated |
| cluster objects. |
| |
| E.g Clusters.UnitTesting.is the literal key for indexing the test cluster. |
| Clusters.UnitTesting.Attributes.Int16u is the listeral key for indexing an attribute in the test cluster. |
| |
| This strongly typed keys permit a more natural and safer form of indexing. |
| ''' |
| returnClusterObject: bool = False |
| attributeTLVCache: Dict[int, Dict[int, Dict[int, bytes]]] = field( |
| default_factory=lambda: {}) |
| attributeCache: Dict[int, List[Cluster]] = field( |
| default_factory=lambda: {}) |
| versionList: Dict[int, Dict[int, Dict[int, int]]] = field( |
| default_factory=lambda: {}) |
| |
| def UpdateTLV(self, path: AttributePath, dataVersion: int, data: Union[bytes, ValueDecodeFailure]): |
| ''' Store data in TLV since that makes it easiest to eventually convert to either the |
| cluster or attribute view representations (see below in UpdateCachedData). |
| ''' |
| if (path.EndpointId not in self.attributeTLVCache): |
| self.attributeTLVCache[path.EndpointId] = {} |
| |
| if (path.EndpointId not in self.versionList): |
| self.versionList[path.EndpointId] = {} |
| |
| endpointCache = self.attributeTLVCache[path.EndpointId] |
| endpointVersion = self.versionList[path.EndpointId] |
| if (path.ClusterId not in endpointCache): |
| endpointCache[path.ClusterId] = {} |
| |
| # All attributes from the same cluster instance should have the same dataVersion, |
| # so we can set the dataVersion of the cluster to the dataVersion with a random attribute. |
| endpointVersion[path.ClusterId] = dataVersion |
| |
| clusterCache = endpointCache[path.ClusterId] |
| if (path.AttributeId not in clusterCache): |
| clusterCache[path.AttributeId] = None |
| |
| clusterCache[path.AttributeId] = data |
| |
| def UpdateCachedData(self, changedPathSet: set[AttributePath]): |
| ''' This converts the raw TLV data into a cluster object format. |
| |
| Two formats are available: |
| 1. Attribute-View (returnClusterObject=False): Dict[EndpointId, |
| Dict[ClusterObjectType, |
| Dict[AttributeObjectType, Dict[AttributeValue, DataVersion]]]] |
| 2. Cluster-View (returnClusterObject=True): Dict[EndpointId, Dict[ClusterObjectType, ClusterValue]] |
| |
| In the attribute-view, only attributes that match the original path criteria are present in the dictionary. |
| The attribute values can either be the actual data for the attribute, or a ValueDecodeFailure in the case of |
| non-success IM status codes, or other errors encountered during decode. |
| |
| In the cluster-view, a cluster object that corresponds to all attributes on a given cluster instance is returned, |
| regardless of the subset of attributes read. For attributes not returned in the report, |
| defaults are used. If a cluster cannot be decoded, |
| instead of a cluster object value, a ValueDecodeFailure shall be present. |
| ''' |
| |
| def handle_cluster_view(endpointId, clusterId, clusterType): |
| try: |
| decodedData = clusterType.FromDict( |
| data=clusterType.descriptor.TagDictToLabelDict([], self.attributeTLVCache[endpointId][clusterId])) |
| decodedData.SetDataVersion(self.versionList.get(endpointId, {}).get(clusterId)) |
| return decodedData |
| except Exception as ex: |
| return ValueDecodeFailure(self.attributeTLVCache[endpointId][clusterId], ex) |
| |
| def handle_attribute_view(endpointId, clusterId, attributeId, attributeType): |
| value = self.attributeTLVCache[endpointId][clusterId][attributeId] |
| if isinstance(value, ValueDecodeFailure): |
| return value |
| try: |
| return attributeType.FromTagDictOrRawValue(value) |
| except Exception as ex: |
| return ValueDecodeFailure(value, ex) |
| |
| for attributePath in changedPathSet: |
| endpointId, clusterId, attributeId = attributePath.EndpointId, attributePath.ClusterId, attributePath.AttributeId |
| |
| if endpointId not in self.attributeCache: |
| self.attributeCache[endpointId] = {} |
| endpointCache = self.attributeCache[endpointId] |
| |
| if clusterId not in _ClusterIndex: |
| # |
| # #22599 tracks dealing with unknown clusters more |
| # gracefully so that clients can still access this data. |
| # |
| continue |
| |
| clusterType = _ClusterIndex[clusterId] |
| |
| if self.returnClusterObject: |
| endpointCache[clusterType] = handle_cluster_view(endpointId, clusterId, clusterType) |
| else: |
| if clusterType not in endpointCache: |
| endpointCache[clusterType] = {} |
| clusterCache = endpointCache[clusterType] |
| clusterCache[DataVersion] = self.versionList.get(endpointId, {}).get(clusterId) |
| |
| if (clusterId, attributeId) not in _AttributeIndex: |
| # |
| # #22599 tracks dealing with unknown clusters more |
| # gracefully so that clients can still access this data. |
| # |
| continue |
| |
| attributeType = _AttributeIndex[(clusterId, attributeId)][0] |
| clusterCache[attributeType] = handle_attribute_view(endpointId, clusterId, attributeId, attributeType) |
| |
| |
| class SubscriptionTransaction: |
| def __init__(self, transaction: AsyncReadTransaction, subscriptionId, devCtrl): |
| self._onResubscriptionAttemptedCb = DefaultResubscriptionAttemptedCallback |
| self._onAttributeChangeCb = DefaultAttributeChangeCallback |
| self._onEventChangeCb = DefaultEventChangeCallback |
| self._onErrorCb = DefaultErrorCallback |
| self._readTransaction = transaction |
| self._subscriptionId = subscriptionId |
| self._devCtrl = devCtrl |
| self._isDone = False |
| self._onResubscriptionSucceededCb = None |
| self._onResubscriptionSucceededCb_isAsync = False |
| self._onResubscriptionAttemptedCb_isAsync = False |
| |
| def GetAttributes(self): |
| ''' Returns the attribute value cache tracking the latest state on the publisher. |
| ''' |
| return self._readTransaction._cache.attributeCache |
| |
| def GetAttribute(self, path: TypedAttributePath) -> Any: |
| ''' Returns a specific attribute given a TypedAttributePath. |
| ''' |
| data = self._readTransaction._cache.attributeCache |
| |
| if (self._readTransaction._cache.returnClusterObject): |
| return eval(f'data[path.Path.EndpointId][path.ClusterType].{path.AttributeName}') |
| else: |
| return data[path.Path.EndpointId][path.ClusterType][path.AttributeType] |
| |
| def GetEvents(self): |
| return self._readTransaction.GetAllEventValues() |
| |
| def OverrideLivenessTimeoutMs(self, timeoutMs: int): |
| handle = chip.native.GetLibraryHandle() |
| builtins.chipStack.Call( |
| lambda: handle.pychip_ReadClient_OverrideLivenessTimeout(self._readTransaction._pReadClient, timeoutMs) |
| ) |
| |
| def GetReportingIntervalsSeconds(self) -> Tuple[int, int]: |
| ''' |
| Retrieve the reporting intervals associated with an active subscription. |
| This should only be called if we're of subscription interaction type and after a subscription has been established. |
| ''' |
| handle = chip.native.GetLibraryHandle() |
| handle.pychip_ReadClient_GetReportingIntervals.argtypes = [ |
| ctypes.c_void_p, ctypes.POINTER(ctypes.c_uint16), ctypes.POINTER(ctypes.c_uint16)] |
| handle.pychip_ReadClient_GetReportingIntervals.restype = PyChipError |
| |
| minIntervalSec = ctypes.c_uint16(0) |
| maxIntervalSec = ctypes.c_uint16(0) |
| |
| builtins.chipStack.Call( |
| lambda: handle.pychip_ReadClient_GetReportingIntervals( |
| self._readTransaction._pReadClient, ctypes.pointer(minIntervalSec), ctypes.pointer(maxIntervalSec)) |
| ).raise_on_error() |
| |
| return minIntervalSec.value, maxIntervalSec.value |
| |
| def SetResubscriptionAttemptedCallback(self, callback: Callable[[SubscriptionTransaction, int, int], None], isAsync=False): |
| ''' |
| Sets the callback function that gets invoked anytime a re-subscription is attempted. The callback is expected |
| to have the following signature: |
| def Callback(transaction: SubscriptionTransaction, errorEncountered: int, nextResubscribeIntervalMsec: int) |
| |
| If the callback is an awaitable co-routine, isAsync should be set to True. |
| ''' |
| if callback is not None: |
| self._onResubscriptionAttemptedCb = callback |
| self._onResubscriptionAttemptedCb_isAsync = isAsync |
| |
| def SetResubscriptionSucceededCallback(self, callback: Callable[[SubscriptionTransaction], None], isAsync=False): |
| ''' |
| Sets the callback function that gets invoked when a re-subscription attempt succeeds. The callback |
| is expected to have the following signature: |
| def Callback(transaction: SubscriptionTransaction) |
| |
| If the callback is an awaitable co-routine, isAsync should be set to True. |
| ''' |
| if callback is not None: |
| self._onResubscriptionSucceededCb = callback |
| self._onResubscriptionSucceededCb_isAsync = isAsync |
| |
| def SetAttributeUpdateCallback(self, callback: Callable[[TypedAttributePath, SubscriptionTransaction], None]): |
| ''' |
| Sets the callback function for the attribute value change event, |
| accepts a Callable accepts an attribute path and the cached data. |
| ''' |
| if callback is not None: |
| self._onAttributeChangeCb = callback |
| |
| def SetEventUpdateCallback(self, callback: Callable[[EventReadResult, SubscriptionTransaction], None]): |
| if callback is not None: |
| self._onEventChangeCb = callback |
| |
| def SetErrorCallback(self, callback: Callable[[int, SubscriptionTransaction], None]): |
| ''' |
| Sets the callback function in case a subscription error occured, |
| accepts a Callable accepts an error code and the cached data. |
| ''' |
| if callback is not None: |
| self._onErrorCb = callback |
| |
| @property |
| def OnAttributeChangeCb(self) -> Callable[[TypedAttributePath, SubscriptionTransaction], None]: |
| return self._onAttributeChangeCb |
| |
| @property |
| def OnEventChangeCb(self) -> Callable[[EventReadResult, SubscriptionTransaction], None]: |
| return self._onEventChangeCb |
| |
| @property |
| def OnErrorCb(self) -> Callable[[int, SubscriptionTransaction], None]: |
| return self._onErrorCb |
| |
| @property |
| def subscriptionId(self) -> int: |
| return self._subscriptionId |
| |
| def Shutdown(self): |
| if (self._isDone): |
| print("Subscription was already terminated previously!") |
| return |
| |
| handle = chip.native.GetLibraryHandle() |
| builtins.chipStack.Call( |
| lambda: handle.pychip_ReadClient_Abort( |
| self._readTransaction._pReadClient, self._readTransaction._pReadCallback)) |
| self._isDone = True |
| |
| def __del__(self): |
| self.Shutdown() |
| |
| def __repr__(self): |
| return f'<Subscription (Id={self._subscriptionId})>' |
| |
| |
| def DefaultResubscriptionAttemptedCallback(transaction: SubscriptionTransaction, |
| terminationError, nextResubscribeIntervalMsec): |
| print(f"Previous subscription failed with Error: {terminationError} - re-subscribing in {nextResubscribeIntervalMsec}ms...") |
| |
| |
| def DefaultAttributeChangeCallback(path: TypedAttributePath, transaction: SubscriptionTransaction): |
| data = transaction.GetAttribute(path) |
| value = { |
| 'Endpoint': path.Path.EndpointId, |
| 'Attribute': path.AttributeType, |
| 'Value': data |
| } |
| |
| print("Attribute Changed:") |
| pprint(value, expand_all=True) |
| |
| |
| def DefaultEventChangeCallback(data: EventReadResult, transaction: SubscriptionTransaction): |
| print("Received Event:") |
| pprint(data, expand_all=True) |
| |
| |
| def DefaultErrorCallback(chipError: int, transaction: SubscriptionTransaction): |
| print(f"Error during Subscription: Chip Stack Error {chipError}") |
| |
| |
| def _BuildEventIndex(): |
| ''' Build internal event index for locating the corresponding cluster object by path in the future. |
| We do this because this operation will take a long time when there are lots of events, it takes about 300ms for a single query. |
| This is acceptable during init, but unacceptable when the server returns lots of events at the same time. |
| ''' |
| for clusterName, obj in inspect.getmembers(sys.modules['chip.clusters.Objects']): |
| if ('chip.clusters.Objects' in str(obj)) and inspect.isclass(obj): |
| for objName, subclass in inspect.getmembers(obj): |
| if inspect.isclass(subclass) and (('Events' == objName)): |
| for eventName, event in inspect.getmembers(subclass): |
| if inspect.isclass(event): |
| base_classes = inspect.getmro(event) |
| |
| # Only match on classes that extend the ClusterEventescriptor class |
| matched = [ |
| value for value in base_classes if 'ClusterEvent' in str(value)] |
| if (matched == []): |
| continue |
| |
| _EventIndex[str(EventPath(ClusterId=event.cluster_id, EventId=event.event_id))] = eval( |
| 'chip.clusters.Objects.' + clusterName + '.Events.' + eventName) |
| |
| |
| class AsyncReadTransaction: |
| @dataclass |
| class ReadResponse: |
| attributes: dict[Any, Any] |
| events: list[ClusterEvent] |
| tlvAttributes: dict[int, Any] |
| |
| def __init__(self, future: Future, eventLoop, devCtrl, returnClusterObject: bool): |
| self._event_loop = eventLoop |
| self._future = future |
| self._subscription_handler = None |
| self._events = [] |
| self._devCtrl = devCtrl |
| self._cache = AttributeCache(returnClusterObject=returnClusterObject) |
| self._changedPathSet = set() |
| self._pReadClient = None |
| self._pReadCallback = None |
| self._resultError = None |
| |
| def SetClientObjPointers(self, pReadClient, pReadCallback): |
| self._pReadClient = pReadClient |
| self._pReadCallback = pReadCallback |
| |
| def GetAllEventValues(self): |
| return self._events |
| |
| def handleAttributeData(self, path: AttributePathWithListIndex, dataVersion: int, status: int, data: bytes): |
| try: |
| imStatus = chip.interaction_model.Status(status) |
| |
| if (imStatus != chip.interaction_model.Status.Success): |
| attributeValue = ValueDecodeFailure( |
| None, chip.interaction_model.InteractionModelError(imStatus)) |
| else: |
| tlvData = chip.tlv.TLVReader(data).get().get("Any", {}) |
| attributeValue = tlvData |
| |
| self._cache.UpdateTLV(path, dataVersion, attributeValue) |
| self._changedPathSet.add(path) |
| |
| except Exception as ex: |
| logging.exception(ex) |
| |
| def handleEventData(self, header: EventHeader, path: EventPath, data: bytes, status: int): |
| try: |
| eventType = _EventIndex.get(str(path), None) |
| eventValue = None |
| |
| if data: |
| # data will be an empty buffer when we received an EventStatusIB instead of an EventDataIB. |
| tlvData = chip.tlv.TLVReader(data).get().get("Any", {}) |
| |
| if eventType is None: |
| eventValue = ValueDecodeFailure( |
| tlvData, LookupError("event schema not found")) |
| else: |
| try: |
| eventValue = eventType.FromTLV(data) |
| except Exception as ex: |
| logging.error( |
| f"Error convering TLV to Cluster Object for path: Endpoint = {path.EndpointId}/" |
| f"Cluster = {path.ClusterId}/Event = {path.EventId}") |
| logging.error( |
| f"Failed Cluster Object: {str(eventType)}") |
| logging.error(ex) |
| eventValue = ValueDecodeFailure( |
| tlvData, ex) |
| |
| # If we're in debug mode, raise the exception so that we can better debug what's happening. |
| if (builtins.enableDebugMode): |
| raise |
| |
| eventResult = EventReadResult( |
| Header=header, Data=eventValue, Status=chip.interaction_model.Status(status)) |
| self._events.append(eventResult) |
| |
| if (self._subscription_handler is not None): |
| self._subscription_handler.OnEventChangeCb( |
| eventResult, self._subscription_handler) |
| |
| except Exception as ex: |
| logging.exception(ex) |
| |
| def handleError(self, chipError: PyChipError): |
| self._resultError = chipError.code |
| |
| def _handleSubscriptionEstablished(self, subscriptionId): |
| if not self._future.done(): |
| self._subscription_handler = SubscriptionTransaction( |
| self, subscriptionId, self._devCtrl) |
| self._future.set_result(self._subscription_handler) |
| else: |
| logging.info("Re-subscription succeeded!") |
| if self._subscription_handler._onResubscriptionSucceededCb is not None: |
| if (self._subscription_handler._onResubscriptionSucceededCb_isAsync): |
| self._event_loop.create_task( |
| self._subscription_handler._onResubscriptionSucceededCb(self._subscription_handler)) |
| else: |
| self._subscription_handler._onResubscriptionSucceededCb(self._subscription_handler) |
| |
| def handleSubscriptionEstablished(self, subscriptionId): |
| self._event_loop.call_soon_threadsafe( |
| self._handleSubscriptionEstablished, subscriptionId) |
| |
| def handleResubscriptionAttempted(self, terminationCause: PyChipError, nextResubscribeIntervalMsec: int): |
| if not self._subscription_handler: |
| return |
| if (self._subscription_handler._onResubscriptionAttemptedCb_isAsync): |
| self._event_loop.create_task(self._subscription_handler._onResubscriptionAttemptedCb( |
| self._subscription_handler, terminationCause.code, nextResubscribeIntervalMsec)) |
| else: |
| self._event_loop.call_soon_threadsafe( |
| self._subscription_handler._onResubscriptionAttemptedCb, |
| self._subscription_handler, terminationCause.code, nextResubscribeIntervalMsec) |
| |
| def _handleReportBegin(self): |
| pass |
| |
| def _handleReportEnd(self): |
| self._cache.UpdateCachedData(self._changedPathSet) |
| |
| if (self._subscription_handler is not None): |
| for change in self._changedPathSet: |
| try: |
| attribute_path = TypedAttributePath(Path=change) |
| except (KeyError, ValueError) as err: |
| # path could not be resolved into a TypedAttributePath |
| logging.getLogger(__name__).exception(err) |
| continue |
| self._subscription_handler.OnAttributeChangeCb( |
| attribute_path, self._subscription_handler) |
| |
| # Clear it out once we've notified of all changes in this transaction. |
| self._changedPathSet = set() |
| |
| def _handleDone(self): |
| # |
| # We only set the exception/result on the future in this _handleDone call (if it hasn't |
| # already been set yet, which can be in the case of subscriptions) since doing so earlier |
| # would result in the callers awaiting the result to |
| # move on, possibly invalidating the provided _event_loop. |
| # |
| if not self._future.done(): |
| if self._resultError: |
| if self._subscription_handler: |
| self._subscription_handler.OnErrorCb(self._resultError, self._subscription_handler) |
| else: |
| self._future.set_exception(chip.exceptions.ChipStackError(self._resultError)) |
| else: |
| self._future.set_result(AsyncReadTransaction.ReadResponse( |
| attributes=self._cache.attributeCache, events=self._events, tlvAttributes=self._cache.attributeTLVCache)) |
| |
| # |
| # Decrement the ref on ourselves to match the increment that happened at allocation. |
| # This happens synchronously as part of handling done to ensure the object remains valid |
| # right till the very end. |
| # |
| ctypes.pythonapi.Py_DecRef(ctypes.py_object(self)) |
| |
| def handleDone(self): |
| self._event_loop.call_soon_threadsafe(self._handleDone) |
| |
| def handleReportBegin(self): |
| pass |
| |
| def handleReportEnd(self): |
| # self._event_loop.call_soon_threadsafe(self._handleReportEnd) |
| self._handleReportEnd() |
| |
| |
| class AsyncWriteTransaction: |
| def __init__(self, future: Future, eventLoop): |
| self._event_loop = eventLoop |
| self._future = future |
| self._resultData = [] |
| self._resultError = None |
| |
| def handleResponse(self, path: AttributePath, status: int): |
| try: |
| imStatus = chip.interaction_model.Status(status) |
| self._resultData.append(AttributeWriteResult(Path=path, Status=imStatus)) |
| except ValueError as ex: |
| logging.exception(ex) |
| |
| def handleError(self, chipError: PyChipError): |
| self._resultError = chipError |
| |
| def _handleDone(self): |
| # |
| # We only set the exception/result on the future in this _handleDone call, |
| # since doing so earlier would result in the callers awaiting the result to |
| # move on, possibly invalidating the provided _event_loop. |
| # |
| if self._resultError is not None: |
| if self._resultError.sdk_part is ErrorSDKPart.IM_GLOBAL_STATUS: |
| im_status = chip.interaction_model.Status(self._resultError.sdk_code) |
| self._future.set_exception(chip.interaction_model.InteractionModelError(im_status)) |
| else: |
| self._future.set_exception(self._resultError.to_exception()) |
| else: |
| self._future.set_result(self._resultData) |
| |
| # |
| # Decrement the ref on ourselves to match the increment that happened at allocation. |
| # This happens synchronously as part of handling done to ensure the object remains valid |
| # right till the very end. |
| # |
| ctypes.pythonapi.Py_DecRef(ctypes.py_object(self)) |
| |
| def handleDone(self): |
| self._event_loop.call_soon_threadsafe(self._handleDone) |
| |
| |
| _OnReadAttributeDataCallbackFunct = CFUNCTYPE( |
| None, py_object, c_uint32, c_uint16, c_uint32, c_uint32, c_uint8, c_void_p, c_size_t) |
| _OnSubscriptionEstablishedCallbackFunct = CFUNCTYPE(None, py_object, c_uint32) |
| _OnResubscriptionAttemptedCallbackFunct = CFUNCTYPE(None, py_object, PyChipError, c_uint32) |
| _OnReadEventDataCallbackFunct = CFUNCTYPE( |
| None, py_object, c_uint16, c_uint32, c_uint32, c_uint64, c_uint8, c_uint64, c_uint8, c_void_p, c_size_t, c_uint8) |
| _OnReadErrorCallbackFunct = CFUNCTYPE( |
| None, py_object, PyChipError) |
| _OnReadDoneCallbackFunct = CFUNCTYPE( |
| None, py_object) |
| _OnReportBeginCallbackFunct = CFUNCTYPE( |
| None, py_object) |
| _OnReportEndCallbackFunct = CFUNCTYPE( |
| None, py_object) |
| |
| |
| @_OnReadAttributeDataCallbackFunct |
| def _OnReadAttributeDataCallback(closure, dataVersion: int, endpoint: int, cluster: int, attribute: int, status, data, len): |
| dataBytes = ctypes.string_at(data, len) |
| closure.handleAttributeData(AttributePath( |
| EndpointId=endpoint, ClusterId=cluster, AttributeId=attribute), dataVersion, status, dataBytes[:]) |
| |
| |
| @_OnReadEventDataCallbackFunct |
| def _OnReadEventDataCallback(closure, endpoint: int, cluster: int, event: c_uint64, |
| number: int, priority: int, timestamp: int, timestampType: int, data, len, status): |
| dataBytes = ctypes.string_at(data, len) |
| path = EventPath(ClusterId=cluster, EventId=event) |
| |
| # EventHeader is valid only when successful |
| eventHeader = None |
| if status == chip.interaction_model.Status.Success.value: |
| eventHeader = EventHeader( |
| EndpointId=endpoint, ClusterId=cluster, EventId=event, EventNumber=number, Priority=EventPriority(priority), Timestamp=timestamp, TimestampType=EventTimestampType(timestampType)) |
| closure.handleEventData(eventHeader, path, dataBytes[:], status) |
| |
| |
| @_OnSubscriptionEstablishedCallbackFunct |
| def _OnSubscriptionEstablishedCallback(closure, subscriptionId): |
| closure.handleSubscriptionEstablished(subscriptionId) |
| |
| |
| @_OnResubscriptionAttemptedCallbackFunct |
| def _OnResubscriptionAttemptedCallback(closure, terminationCause: PyChipError, nextResubscribeIntervalMsec: int): |
| closure.handleResubscriptionAttempted(terminationCause, nextResubscribeIntervalMsec) |
| |
| |
| @_OnReadErrorCallbackFunct |
| def _OnReadErrorCallback(closure, chiperror: PyChipError): |
| closure.handleError(chiperror) |
| |
| |
| @_OnReportBeginCallbackFunct |
| def _OnReportBeginCallback(closure): |
| closure.handleReportBegin() |
| |
| |
| @_OnReportEndCallbackFunct |
| def _OnReportEndCallback(closure): |
| closure.handleReportEnd() |
| |
| |
| @_OnReadDoneCallbackFunct |
| def _OnReadDoneCallback(closure): |
| closure.handleDone() |
| |
| |
| _OnWriteResponseCallbackFunct = CFUNCTYPE( |
| None, py_object, c_uint16, c_uint32, c_uint32, c_uint16) |
| _OnWriteErrorCallbackFunct = CFUNCTYPE( |
| None, py_object, PyChipError) |
| _OnWriteDoneCallbackFunct = CFUNCTYPE( |
| None, py_object) |
| |
| |
| @_OnWriteResponseCallbackFunct |
| def _OnWriteResponseCallback(closure, endpoint: int, cluster: int, attribute: int, status): |
| closure.handleResponse(AttributePath( |
| EndpointId=endpoint, ClusterId=cluster, AttributeId=attribute), status) |
| |
| |
| @_OnWriteErrorCallbackFunct |
| def _OnWriteErrorCallback(closure, chiperror: PyChipError): |
| closure.handleError(chiperror) |
| |
| |
| @_OnWriteDoneCallbackFunct |
| def _OnWriteDoneCallback(closure): |
| closure.handleDone() |
| |
| |
| def WriteAttributes(future: Future, eventLoop, device, |
| attributes: List[AttributeWriteRequest], timedRequestTimeoutMs: Union[None, int] = None, |
| interactionTimeoutMs: Union[None, int] = None, busyWaitMs: Union[None, int] = None) -> PyChipError: |
| handle = chip.native.GetLibraryHandle() |
| |
| numberOfAttributes = len(attributes) |
| pyWriteAttributesArrayType = PyWriteAttributeData * numberOfAttributes |
| pyWriteAttributes = pyWriteAttributesArrayType() |
| for idx, attr in enumerate(attributes): |
| if attr.Attribute.must_use_timed_write and timedRequestTimeoutMs is None or timedRequestTimeoutMs == 0: |
| raise chip.interaction_model.InteractionModelError(chip.interaction_model.Status.NeedsTimedInteraction) |
| |
| tlv = attr.Attribute.ToTLV(None, attr.Data) |
| |
| pyWriteAttributes[idx].attributePath.endpointId = c_uint16(attr.EndpointId) |
| pyWriteAttributes[idx].attributePath.clusterId = c_uint32(attr.Attribute.cluster_id) |
| pyWriteAttributes[idx].attributePath.attributeId = c_uint32(attr.Attribute.attribute_id) |
| pyWriteAttributes[idx].attributePath.dataVersion = c_uint32(attr.DataVersion) |
| pyWriteAttributes[idx].attributePath.hasDataVersion = c_uint8(attr.HasDataVersion) |
| pyWriteAttributes[idx].tlvData = cast(ctypes.c_char_p(bytes(tlv)), c_void_p) |
| pyWriteAttributes[idx].tlvLength = c_size_t(len(tlv)) |
| |
| transaction = AsyncWriteTransaction(future, eventLoop) |
| ctypes.pythonapi.Py_IncRef(ctypes.py_object(transaction)) |
| res = builtins.chipStack.Call( |
| lambda: handle.pychip_WriteClient_WriteAttributes( |
| ctypes.py_object(transaction), device, |
| ctypes.c_size_t(0 if timedRequestTimeoutMs is None else timedRequestTimeoutMs), |
| ctypes.c_size_t(0 if interactionTimeoutMs is None else interactionTimeoutMs), |
| ctypes.c_size_t(0 if busyWaitMs is None else busyWaitMs), |
| pyWriteAttributes, ctypes.c_size_t(numberOfAttributes)) |
| ) |
| if not res.is_success: |
| ctypes.pythonapi.Py_DecRef(ctypes.py_object(transaction)) |
| return res |
| |
| |
| def WriteGroupAttributes(groupId: int, devCtrl: c_void_p, attributes: List[AttributeWriteRequest], busyWaitMs: Union[None, int] = None) -> PyChipError: |
| handle = chip.native.GetLibraryHandle() |
| |
| numberOfAttributes = len(attributes) |
| pyWriteAttributesArrayType = PyWriteAttributeData * numberOfAttributes |
| pyWriteAttributes = pyWriteAttributesArrayType() |
| for idx, attr in enumerate(attributes): |
| |
| tlv = attr.Attribute.ToTLV(None, attr.Data) |
| |
| pyWriteAttributes[idx].attributePath.endpointId = c_uint16(attr.EndpointId) |
| pyWriteAttributes[idx].attributePath.clusterId = c_uint32(attr.Attribute.cluster_id) |
| pyWriteAttributes[idx].attributePath.attributeId = c_uint32(attr.Attribute.attribute_id) |
| pyWriteAttributes[idx].attributePath.dataVersion = c_uint32(attr.DataVersion) |
| pyWriteAttributes[idx].attributePath.hasDataVersion = c_uint8(attr.HasDataVersion) |
| pyWriteAttributes[idx].tlvData = cast(ctypes.c_char_p(bytes(tlv)), c_void_p) |
| pyWriteAttributes[idx].tlvLength = c_size_t(len(tlv)) |
| |
| return builtins.chipStack.Call( |
| lambda: handle.pychip_WriteClient_WriteGroupAttributes( |
| ctypes.c_size_t(groupId), devCtrl, |
| ctypes.c_size_t(0 if busyWaitMs is None else busyWaitMs), |
| pyWriteAttributes, ctypes.c_size_t(numberOfAttributes)) |
| ) |
| |
| |
| # This struct matches the PyReadAttributeParams in attribute.cpp, for passing various params together. |
| _ReadParams = construct.Struct( |
| "MinInterval" / construct.Int16ul, |
| "MaxInterval" / construct.Int16ul, |
| "IsSubscription" / construct.Flag, |
| "IsFabricFiltered" / construct.Flag, |
| "KeepSubscriptions" / construct.Flag, |
| "AutoResubscribe" / construct.Flag, |
| ) |
| |
| |
| def Read(future: Future, eventLoop, device, devCtrl, |
| attributes: List[AttributePath] = None, dataVersionFilters: List[DataVersionFilter] = None, |
| events: List[EventPath] = None, eventNumberFilter: Optional[int] = None, returnClusterObject: bool = True, |
| subscriptionParameters: SubscriptionParameters = None, |
| fabricFiltered: bool = True, keepSubscriptions: bool = False, autoResubscribe: bool = True) -> PyChipError: |
| if (not attributes) and dataVersionFilters: |
| raise ValueError( |
| "Must provide valid attribute list when data version filters is not null") |
| |
| handle = chip.native.GetLibraryHandle() |
| transaction = AsyncReadTransaction( |
| future, eventLoop, devCtrl, returnClusterObject) |
| |
| attributePathsForCffi = None |
| if attributes is not None: |
| numberOfAttributePaths = len(attributes) |
| attributePathsForCffiArrayType = c_void_p * numberOfAttributePaths |
| attributePathsForCffi = attributePathsForCffiArrayType() |
| for idx, attr in enumerate(attributes): |
| path = chip.interaction_model.AttributePathIBstruct.parse( |
| b'\xff' * chip.interaction_model.AttributePathIBstruct.sizeof()) |
| if attr.EndpointId is not None: |
| path.EndpointId = attr.EndpointId |
| if attr.ClusterId is not None: |
| path.ClusterId = attr.ClusterId |
| if attr.AttributeId is not None: |
| path.AttributeId = attr.AttributeId |
| path = chip.interaction_model.AttributePathIBstruct.build(path) |
| attributePathsForCffi[idx] = cast(ctypes.c_char_p(path), c_void_p) |
| |
| dataVersionFiltersForCffi = None |
| if dataVersionFilters is not None: |
| numberOfDataVersionFilters = len(dataVersionFilters) |
| dataVersionFiltersForCffiArrayType = c_void_p * numberOfDataVersionFilters |
| dataVersionFiltersForCffi = dataVersionFiltersForCffiArrayType() |
| for idx, f in enumerate(dataVersionFilters): |
| filter = chip.interaction_model.DataVersionFilterIBstruct.parse( |
| b'\xff' * chip.interaction_model.DataVersionFilterIBstruct.sizeof()) |
| if f.EndpointId is not None: |
| filter.EndpointId = f.EndpointId |
| else: |
| raise ValueError( |
| "DataVersionFilter must provide EndpointId.") |
| if f.ClusterId is not None: |
| filter.ClusterId = f.ClusterId |
| else: |
| raise ValueError( |
| "DataVersionFilter must provide ClusterId.") |
| if f.DataVersion is not None: |
| filter.DataVersion = f.DataVersion |
| else: |
| raise ValueError( |
| "DataVersionFilter must provide DataVersion.") |
| filter = chip.interaction_model.DataVersionFilterIBstruct.build( |
| filter) |
| dataVersionFiltersForCffi[idx] = cast(ctypes.c_char_p(filter), c_void_p) |
| |
| eventPathsForCffi = None |
| if events is not None: |
| numberOfEvents = len(events) |
| eventPathsForCffiArrayType = c_void_p * numberOfEvents |
| eventPathsForCffi = eventPathsForCffiArrayType() |
| for idx, event in enumerate(events): |
| path = chip.interaction_model.EventPathIBstruct.parse( |
| b'\xff' * chip.interaction_model.EventPathIBstruct.sizeof()) |
| if event.EndpointId is not None: |
| path.EndpointId = event.EndpointId |
| if event.ClusterId is not None: |
| path.ClusterId = event.ClusterId |
| if event.EventId is not None: |
| path.EventId = event.EventId |
| if event.Urgent is not None and subscriptionParameters is not None: |
| path.Urgent = event.Urgent |
| else: |
| path.Urgent = 0 |
| path = chip.interaction_model.EventPathIBstruct.build(path) |
| eventPathsForCffi[idx] = cast(ctypes.c_char_p(path), c_void_p) |
| |
| readClientObj = ctypes.POINTER(c_void_p)() |
| readCallbackObj = ctypes.POINTER(c_void_p)() |
| |
| ctypes.pythonapi.Py_IncRef(ctypes.py_object(transaction)) |
| params = _ReadParams.parse(b'\x00' * _ReadParams.sizeof()) |
| if subscriptionParameters is not None: |
| params.MinInterval = subscriptionParameters.MinReportIntervalFloorSeconds |
| params.MaxInterval = subscriptionParameters.MaxReportIntervalCeilingSeconds |
| params.AutoResubscribe = autoResubscribe |
| params.IsSubscription = True |
| params.KeepSubscriptions = keepSubscriptions |
| params.IsFabricFiltered = fabricFiltered |
| params = _ReadParams.build(params) |
| eventNumberFilterPtr = ctypes.POINTER(ctypes.c_ulonglong)() |
| if eventNumberFilter is not None: |
| eventNumberFilterPtr = ctypes.POINTER(ctypes.c_ulonglong)(ctypes.c_ulonglong(eventNumberFilter)) |
| |
| res = builtins.chipStack.Call( |
| lambda: handle.pychip_ReadClient_Read( |
| ctypes.py_object(transaction), |
| ctypes.byref(readClientObj), |
| ctypes.byref(readCallbackObj), |
| device, |
| ctypes.c_char_p(params), |
| attributePathsForCffi, |
| ctypes.c_size_t(0 if attributes is None else len(attributes)), |
| dataVersionFiltersForCffi, |
| ctypes.c_size_t( |
| 0 if dataVersionFilters is None else len(dataVersionFilters)), |
| eventPathsForCffi, |
| ctypes.c_size_t(0 if events is None else len(events)), |
| eventNumberFilterPtr)) |
| |
| transaction.SetClientObjPointers(readClientObj, readCallbackObj) |
| |
| if not res.is_success: |
| ctypes.pythonapi.Py_DecRef(ctypes.py_object(transaction)) |
| return res |
| |
| |
| def ReadAttributes(future: Future, eventLoop, device, devCtrl, |
| attributes: List[AttributePath], dataVersionFilters: List[DataVersionFilter] = None, |
| returnClusterObject: bool = True, |
| subscriptionParameters: SubscriptionParameters = None, fabricFiltered: bool = True) -> int: |
| return Read(future=future, eventLoop=eventLoop, device=device, |
| devCtrl=devCtrl, attributes=attributes, dataVersionFilters=dataVersionFilters, |
| events=None, returnClusterObject=returnClusterObject, |
| subscriptionParameters=subscriptionParameters, fabricFiltered=fabricFiltered) |
| |
| |
| def ReadEvents(future: Future, eventLoop, device, devCtrl, |
| events: List[EventPath], eventNumberFilter=None, returnClusterObject: bool = True, |
| subscriptionParameters: SubscriptionParameters = None, fabricFiltered: bool = True) -> int: |
| return Read(future=future, eventLoop=eventLoop, device=device, devCtrl=devCtrl, attributes=None, |
| dataVersionFilters=None, events=events, eventNumberFilter=eventNumberFilter, |
| returnClusterObject=returnClusterObject, |
| subscriptionParameters=subscriptionParameters, fabricFiltered=fabricFiltered) |
| |
| |
| def Init(): |
| handle = chip.native.GetLibraryHandle() |
| |
| # Uses one of the type decorators as an indicator for everything being |
| # initialized. |
| if not handle.pychip_WriteClient_InitCallbacks.argtypes: |
| setter = chip.native.NativeLibraryHandleMethodArguments(handle) |
| |
| handle.pychip_WriteClient_WriteAttributes.restype = PyChipError |
| handle.pychip_WriteClient_WriteGroupAttributes.restype = PyChipError |
| |
| # Both WriteAttributes and WriteGroupAttributes are variadic functions. As per ctype documentation |
| # https://docs.python.org/3/library/ctypes.html#calling-varadic-functions, it is critical that we |
| # specify the argtypes attribute for the regular, non-variadic, function arguments for this to work |
| # on ARM64 for Apple Platforms. |
| # TODO We could move away from a variadic function to one where we provide a vector of the |
| # attribute information we want written using a vector. This possibility was not implemented at the |
| # time where simply specified the argtypes, because of time constraints. This solution was quicker |
| # to fix the crash on ARM64 Apple platforms without a refactor. |
| handle.pychip_WriteClient_WriteAttributes.argtypes = [py_object, c_void_p, |
| c_size_t, c_size_t, c_size_t, POINTER(PyWriteAttributeData), c_size_t] |
| handle.pychip_WriteClient_WriteGroupAttributes.argtypes = [ |
| c_size_t, c_void_p, c_size_t, POINTER(PyWriteAttributeData), c_size_t] |
| |
| setter.Set('pychip_WriteClient_InitCallbacks', None, [ |
| _OnWriteResponseCallbackFunct, _OnWriteErrorCallbackFunct, _OnWriteDoneCallbackFunct]) |
| handle.pychip_ReadClient_Read.restype = PyChipError |
| setter.Set('pychip_ReadClient_InitCallbacks', None, [ |
| _OnReadAttributeDataCallbackFunct, _OnReadEventDataCallbackFunct, |
| _OnSubscriptionEstablishedCallbackFunct, _OnResubscriptionAttemptedCallbackFunct, |
| _OnReadErrorCallbackFunct, _OnReadDoneCallbackFunct, |
| _OnReportBeginCallbackFunct, _OnReportEndCallbackFunct]) |
| |
| handle.pychip_WriteClient_InitCallbacks( |
| _OnWriteResponseCallback, _OnWriteErrorCallback, _OnWriteDoneCallback) |
| handle.pychip_ReadClient_InitCallbacks( |
| _OnReadAttributeDataCallback, _OnReadEventDataCallback, |
| _OnSubscriptionEstablishedCallback, _OnResubscriptionAttemptedCallback, _OnReadErrorCallback, _OnReadDoneCallback, |
| _OnReportBeginCallback, _OnReportEndCallback) |
| |
| _BuildAttributeIndex() |
| _BuildClusterIndex() |
| _BuildEventIndex() |
