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/*
* Copyright (c) 2024 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.
*/
#include <app/reporting/Read-DataModel.h>
#include <app/AppConfig.h>
#include <app/data-model-provider/ActionReturnStatus.h>
#include <app/data-model-provider/MetadataTypes.h>
#include <app/data-model-provider/Provider.h>
#include <app/util/MatterCallbacks.h>
#include <optional>
namespace chip {
namespace app {
namespace reporting {
namespace DataModelImpl {
DataModel::ActionReturnStatus RetrieveClusterData(DataModel::Provider * dataModel,
const Access::SubjectDescriptor & subjectDescriptor, bool isFabricFiltered,
AttributeReportIBs::Builder & reportBuilder,
const ConcreteReadAttributePath & path, AttributeEncodeState * encoderState)
{
// Odd ifdef is to only do this if the `Read-Check` does not do it already.
#if !CHIP_CONFIG_USE_EMBER_DATA_MODEL
ChipLogDetail(DataManagement, "<RE:Run> Cluster %" PRIx32 ", Attribute %" PRIx32 " is dirty", path.mClusterId,
path.mAttributeId);
DataModelCallbacks::GetInstance()->AttributeOperation(DataModelCallbacks::OperationType::Read,
DataModelCallbacks::OperationOrder::Pre, path);
#endif // !CHIP_CONFIG_USE_EMBER_DATA_MODEL
DataModel::ReadAttributeRequest readRequest;
if (isFabricFiltered)
{
readRequest.readFlags.Set(DataModel::ReadFlags::kFabricFiltered);
}
readRequest.subjectDescriptor = subjectDescriptor;
readRequest.path = path;
DataVersion version = 0;
if (std::optional<DataModel::ClusterInfo> clusterInfo = dataModel->GetClusterInfo(path); clusterInfo.has_value())
{
version = clusterInfo->dataVersion;
}
else
{
ChipLogError(DataManagement, "Read request on unknown cluster - no data version available");
}
TLV::TLVWriter checkpoint;
reportBuilder.Checkpoint(checkpoint);
AttributeValueEncoder attributeValueEncoder(reportBuilder, subjectDescriptor, path, version, isFabricFiltered, encoderState);
DataModel::ActionReturnStatus status = dataModel->ReadAttribute(readRequest, attributeValueEncoder);
if (status.IsSuccess())
{
// Odd ifdef is to only do this if the `Read-Check` does not do it already.
#if !CHIP_CONFIG_USE_EMBER_DATA_MODEL
// TODO: this callback being only executed on success is awkward. The Write callback is always done
// for both read and write.
//
// For now this preserves existing/previous code logic, however we should consider to ALWAYS
// call this.
DataModelCallbacks::GetInstance()->AttributeOperation(DataModelCallbacks::OperationType::Read,
DataModelCallbacks::OperationOrder::Post, path);
#endif // !CHIP_CONFIG_USE_EMBER_DATA_MODEL
return status;
}
// Encoder state is relevant for errors in case they are retryable.
//
// Generally only out of space encoding errors would be retryable, however we save the state
// for all errors in case this is information that is useful (retry or error position).
if (encoderState != nullptr)
{
*encoderState = attributeValueEncoder.GetState();
}
// Out of space errors may be chunked data, reporting those cases would be very confusing
// as they are not fully errors. Report only others (which presumably are not recoverable
// and will be sent to the client as well).
if (!status.IsOutOfSpaceEncodingResponse())
{
DataModel::ActionReturnStatus::StringStorage storage;
ChipLogError(DataManagement, "Failed to read attribute: %s", status.c_str(storage));
}
return status;
}
bool IsClusterDataVersionEqualTo(DataModel::Provider * dataModel, const ConcreteClusterPath & path, DataVersion dataVersion)
{
std::optional<DataModel::ClusterInfo> info = dataModel->GetClusterInfo(path);
if (!info.has_value())
{
return false;
}
return (info->dataVersion == dataVersion);
}
} // namespace DataModelImpl
} // namespace reporting
} // namespace app
} // namespace chip