Flutter Flow - Flutter - Github -- 2

If yes to these three questions then read the description and contact me:

1) Do you know the low-code tool FlutterFlow
2) Do you know how to implement custom Flutter in FlutterFlow
3) Do you have experience doing items 1 and 2 above using Github

Again I want to use FlutterFlow for the overall development:
To continually upload video frames to Kinesis Video Streams so that the camera can run for hours, you'll need to handle video data in smaller chunks or segments and continuously stream these to Kinesis. This involves:

1. **Segmenting Video Data**: Capture video frames in chunks, encode each chunk, and upload each chunk as soon as it's ready.
2. **Streaming in Real-Time**: Continuously upload chunks to Kinesis Video Streams in a loop, ensuring minimal delay.

Here’s a more detailed approach to achieve this:

### Step-by-Step Implementation

1. **Add Dependencies**
  Ensure you have the necessary dependencies in your `pubspec.yaml` file:
  ```yaml
  dependencies:
   flutter:
    sdk: flutter
   camera: ^0.10.0+1
   flutter_ffmpeg: ^0.5.0
   path_provider: ^2.0.11
   http: ^0.13.3 # For making HTTP requests
  ```

2. **Initialize Camera and AWS SDK**
  Initialize the camera in your `main.dart` file:
  ```dart
  import 'package:flutter/material.dart';
  import 'package:camera/camera.dart';

  List<CameraDescription> cameras;
  CameraController cameraController;

  void main() async {
   WidgetsFlutterBinding.ensureInitialized();
   cameras = await availableCameras();
   runApp(MyApp());
  }

  class MyApp extends StatelessWidget {
   @override
   Widget build(BuildContext context) {
    return MaterialApp(
     home: Scaffold(
      appBar: AppBar(
       title: Text('Kinesis Video Stream'),
      ),
      body: Center(
       child: VideoRecorder(),
      ),
     ),
    );
   }
  }
  ```

3. **Capture Video and Handle Segments**
  Implement code to capture video segments and upload them continuously:
  ```dart
  import 'dart:io';
  import 'dart:convert';
  import 'package:http/http.dart' as http;
  import 'package:flutter_ffmpeg/flutter_ffmpeg.dart';
  import 'package:path_provider/path_provider.dart';
  import 'package:path/path.dart' as path;

  class VideoRecorder extends StatefulWidget {
   @override
   _VideoRecorderState createState() => _VideoRecorderState();
  }

  class _VideoRecorderState extends State<VideoRecorder> {
   final FlutterFFmpeg _flutterFFmpeg = FlutterFFmpeg();
   bool _isRecording = false;

   @override
   void initState() {
    super.initState();
    initializeCamera();
   }

   Future<void> initializeCamera() async {
    cameraController = CameraController(cameras[0], ResolutionPreset.max);
    await cameraController.initialize();
    setState(() {});
   }

   Future<void> startRecording() async {
    if (!_isRecording) {
     _isRecording = true;
     await _recordAndUploadVideoSegments();
    }
   }

   Future<void> stopRecording() async {
    _isRecording = false;
    if (cameraController.value.isRecordingVideo) {
     await cameraController.stopVideoRecording();
    }
   }

   Future<void> _recordAndUploadVideoSegments() async {
    final directory = await getApplicationDocumentsDirectory();
    int segmentIndex = 0;

    while (_isRecording) {
     final segmentPath = path.join(directory.path, 'segment_$segmentIndex.mp4');
     await cameraController.startVideoRecording(segmentPath);

     await Future.delayed(Duration(seconds: 10)); // Record each segment for 10 seconds

     if (_isRecording) {
      await cameraController.stopVideoRecording();
      final encodedSegmentPath = path.join(directory.path, 'encoded_segment_$segmentIndex.mp4');
      await _encodeToH265(segmentPath, encodedSegmentPath);
      await _uploadToKinesisVideoStream(encodedSegmentPath);
      segmentIndex++;
     }
    }
   }

   Future<void> _encodeToH265(String inputPath, String outputPath) async {
    final arguments = ['-i', inputPath, '-c:v', 'libx265', outputPath];
    await _flutterFFmpeg.executeWithArguments(arguments);
   }

   Future<void> _uploadToKinesisVideoStream(String filePath) async {
    // Replace with your actual AWS credentials and stream details
    const String accessKey = 'your-access-key';
    const String secretKey = 'your-secret-key';
    const String sessionToken = 'your-session-token';
    const String streamName = 'your-stream-name';
    const String region = 'us-east-1';

    final String endpoint = 'https://kinesisvideo.$region.amazonaws.com';
    final DateTime now = DateTime.now().toUtc();

    // Create the request headers for AWS
    final Map<String, String> headers = {
     'x-amz-security-token': sessionToken,
     'Authorization': _generateAuthorizationHeader(accessKey, secretKey, now),
     'x-amz-date': now.toIso8601String(),
     'Content-Type': 'video/mp4',
    };

    // Read the encoded video file
    final File file = File(filePath);
    final List<int> bytes = await file.readAsBytes();

    // Make the HTTP PUT request to upload the video to Kinesis Video Streams
    final http.Response response = await http.put(
     Uri.parse('$endpoint/$streamName'),
     headers: headers,
     body: bytes,
    );

    if (response.statusCode == 200) {
     print('Video segment uploaded successfully');
    } else {
     print('Failed to upload video segment: ${response.statusCode}');
     print('Response: ${response.body}');
    }
   }

   String _generateAuthorizationHeader(String accessKey, String secretKey, DateTime now) {
    // Placeholder function to generate AWS Signature Version 4 authorization header
    // Implement AWS signature generation logic here
    return 'AWS4-HMAC-SHA256 Credential=$accessKey/${_getDate(now)}/us-east-1/kinesisvideo/aws4_request, SignedHeaders=host;x-amz-date, Signature=your-signature';
   }

   String _getDate(DateTime now) {
    return now.toIso8601String().substring(0, 8);
   }

   @override
   Widget build(BuildContext context) {
    return Column(
     mainAxisAlignment: MainAxisAlignment.center,
     children: [
      if (cameraController != null && cameraController.value.isInitialized)
       CameraPreview(cameraController),
      SizedBox(height: 20),
      ElevatedButton(
       onPressed: startRecording,
       child: Text('Start Recording'),
      ),
      SizedBox(height: 20),
      ElevatedButton(
       onPressed: stopRecording,
       child: Text('Stop Recording and Upload'),
      ),
     ],
    );
   }
  }
  ```

### Key Points
1. **Segmenting Video Data**: Video is captured in segments encoded and uploaded one at a time.
2. **Continuous Streaming**: Using a loop to capture and upload segments, the camera can run continuously for hours.