async function checkLiveness(job) {
try {
// Create input object
console.log("hello job",job)
let Videowidth;
let Videoheight
const { objectKey, bucketName , params} = job.data;
const fileBuffer = await s3Service.getFileFromS3(bucketName, objectKey);
// Convert Buffer to readable stream
const fileStream = bufferToStream(fileBuffer);
// Probe video dimensions using ffprobe
ffmpeg.ffprobe(fileStream, (err, metadata) => {
if (err) {
console.error('Error probing video:', err);
return;
}
Videowidth = metadata.streams[0].width;
Videoheight = metadata.streams[0].height;
console.log('Video dimensions:', Videowidth, 'x', Videoheight);
});
const input = {
Settings: {
OutputConfig: {
S3Bucket:bucketName, // Specify your S3 bucket
S3KeyPrefix: objectKey,
},
AuditImagesLimit: 4, // Specify the limit
},
ClientRequestToken: Date.now().toString(), // Generate a unique token for each request
};
// Create command
const command = new CreateFaceLivenessSessionCommand(input);
console.log('command', command)
const response = await rekognitionClient.send(command);
console.log("Liveness session created successfully. Session ID:", response.SessionId);
const rekognitionStreamingClient = new RekognitionStreamingClient(awsConfig);
console.log("rekognitionStreamingClient<<<<==============",rekognitionStreamingClient)
const startInput = {
SessionId: response.SessionId,
Videowidth:Videowidth,
Videoheight:Videoheight,
ChallengeVersions: ["1.0", "2.0", "3.0"],
LivenessRequestStream: { // LivenessRequestStream Union: only one key present
ClientSessionInformationEvent: { // ClientSessionInformationEvent
Challenge: { // ClientChallenge Union: only one key present
FaceMovementAndLightChallenge: {
ChallengeId: Math.random().toString(36).substr(2, 10) + Date.now().toString(36),
VideoStartTimestamp: Date.now(),
VideoEndTimestamp: Date.now() + 10000,
InitialFace: {
BoundingBox: {
Width: 9.0,
Height:9.0,
Left: 9.0,
Top: 9.0,
},
InitialFaceDetectedTimestamp: Date.now(), // required
},
TargetFace: { // TargetFace
BoundingBox: {
Width: 9.0, // required
Height: 9.0, // required
Left: 9.0, // required
Top: 9.0, // required
},
FaceDetectedInTargetPositionStartTimestamp: Date.now(), // required
FaceDetectedInTargetPositionEndTimestamp: Date.now() + 5000, // 5 seconds later
},
ColorDisplayed: { // ColorDisplayed
CurrentColor: { // FreshnessColor
RGB: [ // ColorComponentList // required
255, // red
0, // green
0, // blue
],
},
PreviousColor: {
RGB: [ // required
0, // red
255, // green
0, // blue
],
},
SequenceNumber: 1, // required
CurrentColorStartTimestamp: Date.now(), // required
},
},
},
VideoChunk: fileBuffer,
TimestampMillis: Date.now(),
},
},
};
const startResponse = new StartFaceLivenessSessionCommand(startInput);
console.log("Face liveness session started successfully:========>>>>", startResponse)
const getResultCommand = new GetFaceLivenessSessionResultsCommand({ SessionId: startInput.SessionId });
console.log('getResultCommand', getResultCommand);
let getResultResponse;
do {
await new Promise(resolve => setTimeout(resolve, 5000));
getResultResponse = await rekognitionClient.send(getResultCommand);
console.log('getResultResponse------------>>>>>>', getResultResponse)
} while (getResultResponse.Status !== "SUCCEEDED"&& getResultResponse.Status !== 'EXPIRED');
console.log('getResultResponse------------------->>>>>>', getResultResponse);
} catch (error) {
console.error("Error creating liveness session:", error);
throw error;
}
}