import 'package:fis_jsonrpc/rpc.dart';
import 'package:flutter/material.dart';
import 'package:get/get.dart';
import 'package:vitalapp/architecture/utils/prompt_box.dart';
import 'package:vitalapp/components/alert_dialog.dart';
import 'package:vitalapp/rpc.dart';
import 'package:vitalapp/store/store.dart';
import 'package:fis_common/extensions/string.dart';
import 'package:fis_common/logger/logger.dart';

import 'controller.dart';
import 'facial_recognition_capturer.dart';

class FacialRecognitionControllerPlus extends FacialRecognitionController {
  FacialRecognitionControllerPlus({required super.mode, super.patientInfo});

  FacialRecognitionCapturer? facialRecognitionCapturer;

  @override
  void doFacialRecognition() async {
    facialRecognitionCapturer = FacialRecognitionCapturer();
    final capturer = facialRecognitionCapturer!;
    capturer.frameCachedEvent.addListener((sender, e) {
      if (e.isNotEmpty) {
        // 更新预览图像
        state.processingImageLocalPath = e;
      }
    });
    capturer.successEvent.addListener(_onCaptureSuccess);
    capturer.failEvent.addListener(_onCaptureFail);
    capturer.timeoutEvent.addListener(_onCaptureTimeout);

    await capturer.init(kCameraController, faceDetector);
    await capturer.run();
  }

  @override
  void doCancelCapture() {
    facialRecognitionCapturer?.stop();
    facialRecognitionCapturer = null;
    super.doCancelCapture();
  }

  @override
  void dispose() {
    // TODO: implement dispose
    super.dispose();
  }

  void _onCaptureSuccess(_, String e) async {
    try {
      // url让RPC分析
      PatientBaseDTO result =
          await rpc.vitalPatient.getPatientBaseByFaceImageAsync(
        GetPatientBaseByFaceImageRequest(
          token: Store.user.token,
          image: e,
        ),
      );

      final type = result.faceScanErrorType;
      if (type == FaceScanErrorTypeEnum2.Success) {
        doCancelCapture();
        finishFaceDetection(result);
      } else if (type == FaceScanErrorTypeEnum2.NoCreated) {
        doCancelCapture();
        await Get.dialog(
          VAlertDialog(
            title: "提示",
            width: 500,
            showCancel: false,
            content: Container(
              height: 32,
              padding: const EdgeInsets.symmetric(horizontal: 24),
              alignment: Alignment.center,
              child: const Text(
                "未检测到当前人脸匹配的身份证，请先录入身份证信息",
                style: TextStyle(fontSize: 20),
              ),
            ),
            onConfirm: () {
              Get.back();
            },
          ),
          barrierDismissible: false,
          barrierColor: Colors.black.withOpacity(.4),
        );
        Get.back();
      } else {
        if (result.errorMessage.isNotNullOrEmpty) {
          logger.e(result.errorMessage!);
        }
        PromptBox.toast('无法识别面部信息，请确保面部清晰可见');
        _continueCapture();
      }
    } catch (e) {
      logger.e("FacialRecognitionController onCaptureSuccess handle error.", e);
      PromptBox.toast('无法识别面部信息');
      _continueCapture();
    } finally {
      state.processingImageLocalPath = '';
    }
  }

  void _onCaptureFail(_, e) async {
    facialRecognitionCapturer?.callPause();
    // 错误提示
    PromptBox.toast(e.message);
    // 给错误提示一点显示时间
    await Future.delayed(const Duration(milliseconds: 1000));
    facialRecognitionCapturer?.callContinue();
  }

  void _onCaptureTimeout(_, e) {
    // 结束
    PromptBox.toast('人脸识别失败，请先录入人脸信息或更新人脸信息');
    doCancelCapture();
  }

  /// 发送继续采集信号
  void _continueCapture() {
    facialRecognitionCapturer?.callContinue();
  }
}