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// Copyright 2021 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "chromeos/services/machine_learning/public/cpp/service_connection.h"
#include <utility>
#include "base/bind.h"
#include "base/component_export.h"
#include "base/no_destructor.h"
#include "base/sequence_checker.h"
#include "base/task/sequenced_task_runner.h"
#include "chromeos/dbus/machine_learning/machine_learning_client.h"
#include "chromeos/services/machine_learning/public/mojom/machine_learning_service.mojom.h"
#include "mojo/public/cpp/bindings/remote.h"
#include "mojo/public/cpp/platform/platform_channel.h"
#include "mojo/public/cpp/system/invitation.h"
#include "third_party/cros_system_api/dbus/service_constants.h"
namespace ash {
namespace machine_learning {
namespace {
// Real Impl of ServiceConnection
class COMPONENT_EXPORT(CHROMEOS_MLSERVICE) ServiceConnectionAsh
: public chromeos::machine_learning::ServiceConnection {
public:
ServiceConnectionAsh();
ServiceConnectionAsh(const ServiceConnectionAsh&) = delete;
ServiceConnectionAsh& operator=(const ServiceConnectionAsh&) = delete;
~ServiceConnectionAsh() override;
chromeos::machine_learning::mojom::MachineLearningService&
GetMachineLearningService() override;
void BindMachineLearningService(
mojo::PendingReceiver<
chromeos::machine_learning::mojom::MachineLearningService> receiver)
override;
void Initialize() override;
private:
// Binds the primordial, top-level interface |machine_learning_service_| to an
// implementation in the ML Service daemon, if it is not already bound. The
// binding is accomplished via D-Bus bootstrap.
void BindPrimordialMachineLearningServiceIfNeeded();
// Mojo disconnect handler. Resets |machine_learning_service_|, which
// will be reconnected upon next use.
void OnMojoDisconnect();
// Response callback for MlClient::BootstrapMojoConnection.
void OnBootstrapMojoConnectionResponse(bool success);
mojo::Remote<chromeos::machine_learning::mojom::MachineLearningService>
machine_learning_service_;
scoped_refptr<base::SequencedTaskRunner> task_runner_;
SEQUENCE_CHECKER(sequence_checker_);
};
ServiceConnectionAsh::ServiceConnectionAsh() {
DETACH_FROM_SEQUENCE(sequence_checker_);
}
ServiceConnectionAsh::~ServiceConnectionAsh() = default;
chromeos::machine_learning::mojom::MachineLearningService&
ServiceConnectionAsh::GetMachineLearningService() {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
DCHECK(task_runner_)
<< "Call Initialize before first use of ServiceConnection.";
BindPrimordialMachineLearningServiceIfNeeded();
return *machine_learning_service_.get();
}
void ServiceConnectionAsh::BindMachineLearningService(
mojo::PendingReceiver<
chromeos::machine_learning::mojom::MachineLearningService> receiver) {
DCHECK(task_runner_)
<< "Call Initialize before first use of ServiceConnection.";
if (!task_runner_->RunsTasksInCurrentSequence()) {
task_runner_->PostTask(
FROM_HERE,
base::BindOnce(&ServiceConnectionAsh::BindMachineLearningService,
base::Unretained(this), std::move(receiver)));
return;
}
GetMachineLearningService().Clone(std::move(receiver));
}
void ServiceConnectionAsh::Initialize() {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
DCHECK(!task_runner_) << "Initialize must be called only once.";
task_runner_ = base::SequencedTaskRunnerHandle::Get();
}
void ServiceConnectionAsh::BindPrimordialMachineLearningServiceIfNeeded() {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
if (machine_learning_service_) {
return;
}
mojo::PlatformChannel platform_channel;
// Prepare a Mojo invitation to send through |platform_channel|.
mojo::OutgoingInvitation invitation;
// Include an initial Mojo pipe in the invitation.
mojo::ScopedMessagePipeHandle pipe =
invitation.AttachMessagePipe(ml::kBootstrapMojoConnectionChannelToken);
mojo::OutgoingInvitation::Send(std::move(invitation),
base::kNullProcessHandle,
platform_channel.TakeLocalEndpoint());
// Bind our end of |pipe| to our mojo::Remote<MachineLearningService>. The
// daemon should bind its end to a MachineLearningService implementation.
machine_learning_service_.Bind(
mojo::PendingRemote<
chromeos::machine_learning::mojom::MachineLearningService>(
std::move(pipe), 0u /* version */));
machine_learning_service_.set_disconnect_handler(base::BindOnce(
&ServiceConnectionAsh::OnMojoDisconnect, base::Unretained(this)));
// Send the file descriptor for the other end of |platform_channel| to the
// ML service daemon over D-Bus.
chromeos::MachineLearningClient::Get()->BootstrapMojoConnection(
platform_channel.TakeRemoteEndpoint().TakePlatformHandle().TakeFD(),
base::BindOnce(&ServiceConnectionAsh::OnBootstrapMojoConnectionResponse,
base::Unretained(this)));
}
void ServiceConnectionAsh::OnMojoDisconnect() {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
// Connection errors are not expected so log a warning.
LOG(WARNING) << "ML Service Mojo connection closed";
machine_learning_service_.reset();
}
void ServiceConnectionAsh::OnBootstrapMojoConnectionResponse(
const bool success) {
DCHECK_CALLED_ON_VALID_SEQUENCE(sequence_checker_);
if (!success) {
LOG(WARNING) << "BootstrapMojoConnection D-Bus call failed";
machine_learning_service_.reset();
}
}
} // namespace
} // namespace machine_learning
} // namespace ash
namespace chromeos {
namespace machine_learning {
ServiceConnection* ServiceConnection::CreateRealInstance() {
static base::NoDestructor<ash::machine_learning::ServiceConnectionAsh>
service_connection;
return service_connection.get();
}
} // namespace machine_learning
} // namespace chromeos
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