| // Copyright 2020 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. | |
| namespace ash { | |
| namespace machine_learning { | |
| // Helper function decides either to load handwriting model from rootfs or dlc. | |
| // New Handwriting clients should call this helper instead of calling | |
| // ServiceConnection::GetInstance()->LoadHandwritingModel. | |
| // Three typical examples of the callstack are: | |
| // Case 1: handwriting in enabled on rootfs. | |
| // client calls LoadHandwritingModelFromRootfsOrDlc("en", receiver, callback) | |
| // which calls LoadHandwritingModel -> handwriting model loaded from rootfs. | |
| // Case 2: handwriting is enabled for dlc and dlc is already on the device. | |
| // client calls LoadHandwritingModelFromRootfsOrDlc("en", receiver, callback) | |
| // which calls -> GetExistingDlcs -> libhandwriting dlc already exists | |
| // -> InstallDlc -> LoadHandwritingModel | |
| // The correct handwriting model will be loaded and bond to the receiver. | |
| // Case 3: handwriting is enabled for dlc and dlc is not on the device yet. | |
| // client calls LoadHandwritingModelFromRootfsOrDlc("en", receiver, callback) | |
| // which calls -> GetExistingDlcs -> NO libhandwriting dlc exists | |
| // -> Return error DLC_NOT_EXISTED. | |
| // Then it will be the client's duty to install the dlc and then calls | |
| // LoadHandwritingModelFromRootfsOrDlc("en", receiver, callback) again. | |
| // | |
| // `dlc_client` should only be replaced with non-default value in unit tests. | |
| void LoadHandwritingModelFromRootfsOrDlc( | |
| chromeos::machine_learning::mojom::HandwritingRecognizerSpecPtr spec, | |
| mojo::PendingReceiver< | |
| chromeos::machine_learning::mojom::HandwritingRecognizer> receiver, | |
| chromeos::machine_learning::mojom::MachineLearningService:: | |
| LoadHandwritingModelCallback callback, | |
| chromeos::DlcserviceClient* dlc_client = chromeos::DlcserviceClient::Get()); | |
| } // namespace machine_learning | |
| } // namespace ash | |