React Native 2.1.x ui only

"react-native-trust-vision-SDK": "git+https://github.com/tsocial/react-native-trust-vision-SDK#<version_tag_name>"

$ yarn

...
pod 'RNTrustVisionRnsdkFramework', path: '../node_modules/react-native-trust-vision-SDK'

$ pod install

maven {
     url("$rootDir/../node_modules/react-native-trust-vision-SDK/android/repo")
}

allprojects {
    repositories {
        mavenLocal()
        ...
        maven {
             url("$rootDir/../node_modules/react-native-trust-vision-SDK/android/repo")
        }
        google()
        jcenter()
        maven { url 'https://jitpack.io' }
    }
}

android {
    ...
    aaptOptions {
        noCompress "tflite"
        noCompress "lite"
    }
}

import { NativeEventEmitter } from "react-native";

import RNTrustVisionRnsdkFramework, {
  TVConst,
  TVErrorCode,
} from "react-native-trust-vision-SDK";

try {
  await RNTrustVisionRnsdkFramework.initialize(
    clientSettingJsonString,
    "vi",
    true
  );

  const tvsdkEmitter = new NativeEventEmitter(RNTrustVisionRnsdkFramework);
  // Listen to the events during the capturing
  const subscription = tvsdkEmitter.addListener("TVSDKEvent", (event) => {
    console.log("TVSDK - " + event.name + " - " + event.params.page_name);
  });

  // Listen to the frame batches recorded during the capturing
  const framesRecordedSubscription = tvsdkEmitter.addListener(
    "TVSDKFrameBatch",
    (event) => {
      console.log("TVSDK - " + "FrameBatch: ", obj);
      // upload frame batch to server using this api:
      // https://ekyc.trustingsocial.com/api-reference/customer-api/#upload-videoaudioframes
    }
  );

  const cardType = {
    id: "card_id",
    name: "card_name",
    orientation: TVConst.Orientation.LANDSCAPE,
    hasBackSide: true,
  };
  const idConfig = {
    cardType: cardType,
    isEnableSound: false,
    isReadBothSide: true,
    cardSide: TVConst.CardSide.FRONT,
  };
  console.log("Id Config", idConfig);
  const idResult = await RNTrustVisionRnsdkFramework.startIdCapturing(idConfig);
  console.log("Id Result", idResult);
} catch (e) {
  console.log("Error: ", e.code, " - ", e.message);
}

await RNTrustVisionRnsdkFramework.initialize(
  clientSettingJsonString,
  "vi", // language code
  true // enable event or not
);

const idConfig = {
  cardType: cardType,
  cardSide: TVConst.CardSide.FRONT,
  isEnableSound: false,
  isReadBothSide: true,
  skipConfirmScreen: true,
  isEnablePhotoGalleryPicker: false,
};

const result = await RNTrustVisionRnsdkFramework.startIdCapturing(config);

const config = {
  cameraOption: TVConst.SelfieCameraMode.FRONT,
  isEnableSound: true,
  livenessMode: TVConst.LivenessMode.PASSIVE,
  skipConfirmScreen: true,
};

const selfieCapturingResult =
  await RNTrustVisionRnsdkFramework.startSelfieCapturing(config);

var frameBatchIdsDictionary = []; // this dictionary will be used for liveness verification
// frameBatchIdsDictionary.push({
//    key:   <id_returned_from_sdk>,
//    value: <id_returned_from_server>
// });

// Listen to the frame batches recorded during the capturing
const framesRecordedSubscription = tvsdkEmitter.addListener(
  "TVSDKFrameBatch",
  async (frameBatch) => {
    console.log("TVSDK - " + "FrameBatch: ", frameBatch);
    // upload frame batch to server using this api:
    // https://ekyc.trustingsocial.com/api-reference/customer-api/#upload-videoaudioframes
    const uploadingResult = await uploadFrameBatch(frameBatch);
    frameBatchIdsDictionary.push({
      key: frameBatch.batchId,
      value: uploadingResult.fileId,
    });
  }
);

// Remove all invalid batch ids:
Object.entries(frameBatchIdsDictionary).map(
  ([id_returned_from_sdk, id_returned_from_server]) => {
    if (
      !selfieCapturingResult.livenessFrameBatchIds.includes(
        id_returned_from_sdk
      )
    ) {
      delete frameBatchIdsDictionary[id_returned_from_sdk];
    }
  }
);

{
  "id": "<id of frontal image i>"
}

{
  "gesture": "lower case string of <selfieCapturingResult.selfieImages[i].gesture_type>",
  "images": [
    {
      "id": "<id of gesture image i>"
    }
  ]
}

{
"id": "<frameBatchIdsDictionary's values[0]>"
},
{
"id": "<frameBatchIdsDictionary's values[1]>"
}
...