amazon_s3_cognito

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Description:

amazon s3 cognito

amazon_s3_cognito #
Amazon S3 plugin for Flutter
Unofficial Amazon S3 plugin written in Dart for Flutter.
Plugin in maintained by fäm propertiesno-reply@famproperties.com.
Usage #
To use this plugin, add amazon_s3_cognito as a dependency in your pubspec.yaml file.
dependencies:
The package is android-x compatible
amazon_s3_cognito: '^0.7.9'
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Example #
import 'package:amazon_s3_cognito/amazon_s3_cognito.dart';
import 'package:amazon_s3_cognito/aws_region.dart';




//Use the below code to specify the region and sub region for image upload
//Also this method allows to upload all file type including images and pdf etc.

//imageData - this object will contain file details, like file name, file path, folder where to upload file inside bucket etc..
//construct imagedata object
ImageData imageData = ImageData("uniqueFileName", filePath,
uniqueId: "uniqueIdToTrackImage", imageUploadFolder: "folder to upload inside bucket");

//call AWS to upload file
//needMultipartUpload - only applicable for IOS, when your uploads are so large that they take more than 1 hour to complete set its value to true
String uploadedImageUrl = await AmazonS3Cognito.upload(String bucket, String identity, String region,
String subRegion, ImageData imageData,
{bool needMultipartUpload = false})

//Please Note: In bucket name only send bucket name. If you will include subfolder in it, the upload will fail
//Example : if we want image to upload in bucket BUCKET_TEST, and inside that bucket we want to upload image into
// MANAGEMENT folder, then in bucket name send only BUCKET_TEST and in ImageData.imageUploadFolder send MANAGEMENT
//other wise the upload will not work.

//we can now also upload multiple images via list and listener to its progress
//and upload changes via stream.

//create an event channel

EventChannel _amazonS3Stream =
EventChannel('amazon_s3_cognito_images_upload_steam');
StreamSubscription? uploadListenerSubscription;

//call _listenToFileUpload() in initstate method or when you want to
//start listeneing to image upload
//steeams pass back hashmap, as passing custom object is not supported yet
//we can covert map to object in stream like below.

void _listenToFileUpload() {
//when you want to upload multi-files or listen to upload then
//you get the image progress via this stream
uploadListenerSubscription =
_amazonS3Stream.receiveBroadcastStream().listen((event) {
LinkedHashMap<Object?, Object?> map = event;
print(map);
ImageData imageData = ImageData.fromMap(map);
//update the ui based on the object returned in stream
});
}

//cancel subcrition of stream when you are done
void dispose() {
super.dispose();
uploadListenerSubscription?.cancel();
}

//use multiple image upload method
AmazonS3Cognito.uploadImages(
String bucket,
String identity,
String region,
String subRegion,
List<ImageData> imageData,
bool needProgressUpdateAlso,
{bool needMultipartUpload = false})


//use below code to delete an image
String result = await AmazonS3Cognito.delete(
String bucket,
String identity,
String imageName,
String? folderInBucketWhereImgIsUploaded,
String region,
String subRegion)






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Installation #
Android #
Inside AndroidManifest.xml register TransferService like below

<application
<service android:name= "com.amazonaws.mobileconnectors.s3.transferutility.TransferService" android:enabled="true" />
</application>
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iOS #
inside your Appdelegate add following method

func application(_ application: UIApplication, handleEventsForBackgroundURLSession identifier: String, completionHandler: @escaping () -> Void) {
// Store the completion handler.
AWSS3TransferUtility.interceptApplication(application, handleEventsForBackgroundURLSession: identifier, completionHandler: completionHandler)
}

for documentation further read
https://docs.amplify.aws/sdk/storage/transfer-utility/q/platform/ios/#background-transfers

https://aws.amazon.com/blogs/mobile/amazon-s3-transfer-utility-for-ios/
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Authors #
the plugin is created and maintained by fäm properties.
Android version written by Prachi Shrivastava
IOS version written by Prachi Shrivastava
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License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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