/**
 * Copyright 2022 The MediaPipe 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.
 */

import {CalculatorGraphConfig} from '../../../../framework/calculator_pb';
import {CalculatorOptions} from '../../../../framework/calculator_options_pb';
import {AudioClassifierGraphOptions} from '../../../../tasks/cc/audio/audio_classifier/proto/audio_classifier_graph_options_pb';
import {ClassificationResult} from '../../../../tasks/cc/components/containers/proto/classifications_pb';
import {BaseOptions as BaseOptionsProto} from '../../../../tasks/cc/core/proto/base_options_pb';
import {AudioTaskRunner} from '../../../../tasks/web/audio/core/audio_task_runner';
import {convertClassifierOptionsToProto} from '../../../../tasks/web/components/processors/classifier_options';
import {convertFromClassificationResultProto} from '../../../../tasks/web/components/processors/classifier_result';
import {CachedGraphRunner} from '../../../../tasks/web/core/task_runner';
import {WasmFileset} from '../../../../tasks/web/core/wasm_fileset';
import {WasmModule} from '../../../../web/graph_runner/graph_runner';
// Placeholder for internal dependency on trusted resource url

import {AudioClassifierOptions} from './audio_classifier_options';
import {AudioClassifierResult} from './audio_classifier_result';

export * from './audio_classifier_options';
export * from './audio_classifier_result';

const MEDIAPIPE_GRAPH =
    'mediapipe.tasks.audio.audio_classifier.AudioClassifierGraph';

const AUDIO_STREAM = 'audio_in';
const SAMPLE_RATE_STREAM = 'sample_rate';
const TIMESTAMPED_CLASSIFICATIONS_STREAM = 'timestamped_classifications';

// The OSS JS API does not support the builder pattern.
// tslint:disable:jspb-use-builder-pattern

/** Performs audio classification. */
export class AudioClassifier extends AudioTaskRunner<AudioClassifierResult[]> {
  private classificationResults: AudioClassifierResult[] = [];
  private readonly options = new AudioClassifierGraphOptions();

  /**
   * Initializes the Wasm runtime and creates a new audio classifier from the
   * provided options.
   * @param wasmFileset A configuration object that provides the location of the
   *     Wasm binary and its loader.
   * @param audioClassifierOptions The options for the audio classifier. Note
   *     that either a path to the model asset or a model buffer needs to be
   *     provided (via `baseOptions`).
   */
  static createFromOptions(
      wasmFileset: WasmFileset, audioClassifierOptions: AudioClassifierOptions):
      Promise<AudioClassifier> {
    return AudioTaskRunner.createInstance(
        AudioClassifier, /* initializeCanvas= */ false, wasmFileset,
        audioClassifierOptions);
  }

  /**
   * Initializes the Wasm runtime and creates a new audio classifier based on
   * the provided model asset buffer.
   * @param wasmFileset A configuration object that provides the location of the
   *     Wasm binary and its loader.
   * @param modelAssetBuffer A binary representation of the model.
   */
  static createFromModelBuffer(
      wasmFileset: WasmFileset,
      modelAssetBuffer: Uint8Array): Promise<AudioClassifier> {
    return AudioTaskRunner.createInstance(
        AudioClassifier, /* initializeCanvas= */ false, wasmFileset,
        {baseOptions: {modelAssetBuffer}});
  }

  /**
   * Initializes the Wasm runtime and creates a new audio classifier based on
   * the path to the model asset.
   * @param wasmFileset A configuration object that provides the location of the
   *     Wasm binary and its loader.
   * @param modelAssetPath The path to the model asset.
   */
  static createFromModelPath(
      wasmFileset: WasmFileset,
      modelAssetPath: string): Promise<AudioClassifier> {
    return AudioTaskRunner.createInstance(
        AudioClassifier, /* initializeCanvas= */ false, wasmFileset,
        {baseOptions: {modelAssetPath}});
  }

  /** @hideconstructor */
  constructor(
      wasmModule: WasmModule,
      glCanvas?: HTMLCanvasElement|OffscreenCanvas|null) {
    super(new CachedGraphRunner(wasmModule, glCanvas));
    this.options.setBaseOptions(new BaseOptionsProto());
  }

  protected override get baseOptions(): BaseOptionsProto {
    return this.options.getBaseOptions()!;
  }

  protected override set baseOptions(proto: BaseOptionsProto) {
    this.options.setBaseOptions(proto);
  }

  /**
   * Sets new options for the audio classifier.
   *
   * Calling `setOptions()` with a subset of options only affects those options.
   * You can reset an option back to its default value by explicitly setting it
   * to `undefined`.
   *
   * @param options The options for the audio classifier.
   */
  override setOptions(options: AudioClassifierOptions): Promise<void> {
    this.options.setClassifierOptions(convertClassifierOptionsToProto(
        options, this.options.getClassifierOptions()));
    return this.applyOptions(options);
  }

  // TODO: Add a classifyStream() that takes a timestamp

  /**
   * Performs audio classification on the provided audio clip and waits
   * synchronously for the response.
   *
   * @param audioData An array of raw audio capture data, like from a call to
   *     `getChannelData()` on an AudioBuffer.
   * @param sampleRate The sample rate in Hz of the provided audio data. If not
   *     set, defaults to the sample rate set via `setDefaultSampleRate()` or
   *     `48000` if no custom default was set.
   * @return The classification result of the audio datas
   */
  classify(audioData: Float32Array, sampleRate?: number):
      AudioClassifierResult[] {
    return this.processAudioClip(audioData, sampleRate);
  }

  /** Sends an audio package to the graph and returns the classifications. */
  protected override process(
      audioData: Float32Array, sampleRate: number,
      timestampMs: number): AudioClassifierResult[] {
    this.graphRunner.addDoubleToStream(
        sampleRate, SAMPLE_RATE_STREAM, timestampMs);
    this.graphRunner.addAudioToStreamWithShape(
        audioData, /* numChannels= */ 1, /* numSamples= */ audioData.length,
        AUDIO_STREAM, timestampMs);

    this.classificationResults = [];
    this.finishProcessing();
    return [...this.classificationResults];
  }

  /**
   * Internal function for converting raw data into classification results, and
   * adding them to our classfication results list.
   **/
  private addJsAudioClassificationResults(binaryProtos: Uint8Array[]): void {
    binaryProtos.forEach(binaryProto => {
      const classificationResult =
          ClassificationResult.deserializeBinary(binaryProto);
      this.classificationResults.push(
          convertFromClassificationResultProto(classificationResult));
    });
  }

  /** Updates the MediaPipe graph configuration. */
  protected override refreshGraph(): void {
    const graphConfig = new CalculatorGraphConfig();
    graphConfig.addInputStream(AUDIO_STREAM);
    graphConfig.addInputStream(SAMPLE_RATE_STREAM);
    graphConfig.addOutputStream(TIMESTAMPED_CLASSIFICATIONS_STREAM);

    const calculatorOptions = new CalculatorOptions();
    calculatorOptions.setExtension(
        AudioClassifierGraphOptions.ext, this.options);

    // Perform audio classification. Pre-processing and results post-processing
    // are built-in.
    const classifierNode = new CalculatorGraphConfig.Node();
    classifierNode.setCalculator(MEDIAPIPE_GRAPH);
    classifierNode.addInputStream('AUDIO:' + AUDIO_STREAM);
    classifierNode.addInputStream('SAMPLE_RATE:' + SAMPLE_RATE_STREAM);
    classifierNode.addOutputStream(
        'TIMESTAMPED_CLASSIFICATIONS:' + TIMESTAMPED_CLASSIFICATIONS_STREAM);
    classifierNode.setOptions(calculatorOptions);

    graphConfig.addNode(classifierNode);

    this.graphRunner.attachProtoVectorListener(
        TIMESTAMPED_CLASSIFICATIONS_STREAM, (binaryProtos, timestamp) => {
          this.addJsAudioClassificationResults(binaryProtos);
          this.setLatestOutputTimestamp(timestamp);
        });

    const binaryGraph = graphConfig.serializeBinary();
    this.setGraph(new Uint8Array(binaryGraph), /* isBinary= */ true);
  }
}


