biz_xfj_cloud/test/common/face_recognition_preview_layer_test.dart

import 'package:flutter_test/flutter_test.dart';

import 'package:pj_supermarket_cloud/common/models/plugs/face_recognition_session_models.dart';
import 'package:pj_supermarket_cloud/common/style/xfj_design_tokens.dart';
import 'package:pj_supermarket_cloud/common/widgets/face/face_recognition_preview_layer.dart';

/// 验证仅识别最大脸时的面积排序、可见文案和语义颜色。
void main() {
  const smallFace = FaceRecognitionFaceBox(
    left: 0.05,
    top: 0.10,
    right: 0.25,
    bottom: 0.30,
    recognizeStatus: 'waiting',
    livenessStatus: 'unknown',
  );
  const largestFace = FaceRecognitionFaceBox(
    left: 0.30,
    top: 0.20,
    right: 0.70,
    bottom: 0.70,
    recognizeStatus: 'comparing',
    livenessStatus: 'alive',
    similarity: 0.86,
  );
  const mediumFace = FaceRecognitionFaceBox(
    left: 0.72,
    top: 0.15,
    right: 0.97,
    bottom: 0.55,
    recognizeStatus: 'failed',
    livenessStatus: 'notAlive',
    similarity: 0.42,
  );

  test('会话事件解析原生最大脸配置并保留全部人脸框', () {
    final event = FaceRecognitionSessionEvent.fromMap({
      'sessionId': 'face-session-1',
      'scene': 'cashier',
      'state': 'detecting',
      'revision': 3,
      'keepMaxFace': true,
      'faceBoxes': [
        {
          'left': 0.05,
          'top': 0.10,
          'right': 0.25,
          'bottom': 0.30,
          'recognizeStatus': 'waiting',
          'livenessStatus': 'unknown',
        },
        {
          'left': 0.30,
          'top': 0.20,
          'right': 0.70,
          'bottom': 0.70,
          'recognizeStatus': 'comparing',
          'livenessStatus': 'alive',
        },
      ],
    });

    expect(event.keepMaxFace, isTrue);
    expect(event.eventSequence, 0);
    expect(event.faceBoxes, hasLength(2));
  });

  test('原生事件可解析进程级单调序号', () {
    final event = FaceRecognitionSessionEvent.fromMap({
      'sessionId': 'face-session-2',
      'scene': 'reservation',
      'state': 'detecting',
      'revision': 3,
      'eventSequence': 17,
      'faceBoxes': const [],
    });

    expect(event.eventSequence, 17);
  });

  test('归一化面积计算异常坐标时不会产生负占比', () {
    const invalidFace = FaceRecognitionFaceBox(
      left: 0.8,
      top: 0.7,
      right: 0.2,
      bottom: 0.1,
      recognizeStatus: 'waiting',
      livenessStatus: 'unknown',
    );

    expect(smallFace.normalizedArea, closeTo(0.04, 0.000001));
    expect(invalidFace.normalizedArea, 0);
  });

  test('最大脸模式按面积选中绿色目标，其余使用红色文字标识', () {
    final painter = _painter(
      boxes: const [smallFace, largestFace, mediumFace],
      keepMaxFace: true,
    );

    expect(painter.primaryFaceIndex, 1);
    expect(painter.colorFor(1), XfjDesignTokens.success);
    expect(painter.colorFor(0), XfjDesignTokens.danger);
    expect(painter.colorFor(2), XfjDesignTokens.danger);
    expect(painter.labelFor(1), contains('识别目标 · 占画面 20.0%'));
    expect(painter.labelFor(1), contains('相似度 86.0%'));
    expect(painter.labelFor(0), contains('非识别目标 · 占画面 4.0%'));
    expect(painter.labelFor(0), contains('不参与识别'));
  });

  test('旋转和镜像不改变最大脸面积判断', () {
    final boxes = const [smallFace, largestFace, mediumFace];
    final rotatedPainter = _painter(
      boxes: boxes,
      keepMaxFace: true,
      rotation: 90,
      mirror: true,
    );
    final normalPainter = _painter(
      boxes: boxes,
      keepMaxFace: true,
    );

    expect(rotatedPainter.primaryFaceIndex, normalPainter.primaryFaceIndex);
  });

  test('关闭最大脸模式后继续沿用识别结果颜色且不显示面积标签', () {
    final painter = _painter(
      boxes: const [smallFace, largestFace, mediumFace],
      keepMaxFace: false,
    );

    expect(painter.colorFor(0), XfjDesignTokens.primary);
    expect(painter.colorFor(1), XfjDesignTokens.success);
    expect(painter.colorFor(2), XfjDesignTokens.danger);
    expect(painter.labelFor(1), isNot(contains('占画面')));
    expect(painter.labelFor(1), contains('相似度 86.0%'));
  });

  test('低相似度和尚未比对的人脸仍全部进入绘制器', () {
    const lowSimilarityFace = FaceRecognitionFaceBox(
      left: 0.08,
      top: 0.12,
      right: 0.34,
      bottom: 0.48,
      recognizeStatus: 'failed',
      livenessStatus: 'unknown',
      similarity: 0.12,
    );
    const waitingFace = FaceRecognitionFaceBox(
      left: 0.55,
      top: 0.10,
      right: 0.88,
      bottom: 0.52,
      recognizeStatus: 'waiting',
      livenessStatus: 'unknown',
    );
    final painter = _painter(
      boxes: const [lowSimilarityFace, waitingFace],
      keepMaxFace: true,
    );

    expect(painter.boxes, hasLength(2));
    expect(painter.labelFor(0), contains('非识别目标'));
    expect(painter.labelFor(0), contains('相似度 12.0%'));
    expect(painter.labelFor(1), contains('识别目标'));
    expect(painter.labelFor(1), contains('检测中'));
  });
}

/// 创建只用于判断面积、颜色和标签的绘制器，不实际申请摄像头 Texture。
FaceRecognitionBoxPainter _painter({
  required List<FaceRecognitionFaceBox> boxes,
  required bool keepMaxFace,
  int rotation = 0,
  bool mirror = false,
}) {
  return FaceRecognitionBoxPainter(
    boxes: boxes,
    rotation: rotation,
    mirror: mirror,
    livenessEnabled: true,
    keepMaxFace: keepMaxFace,
    similarityThreshold: 0.8,
  );
}