Unable to format file to upload to Cloudinary - flutter

I am trying to send an image from Flutter application to Cloudinary using Uploading with a direct call to the REST API,but getting this error:
{"error":{"message":"Invalid file parameter. Make sure your file parameter does not include '[]'"}}
I tried to encode image as an array of bytes, base64Encode but none of that worked, I followed this documentation.
Does anybody know how to encode the file so I can send it?
thanks
EDIT:
#override
Future<void> getImageSignature(File image) async {
return await _callWithExceptionWrap(() async {
if (image != null) {
DateTime dateTime = DateTime.now();
String url = _formatUrlForUploadSignature();
Dio dio = NetworkUtils.createDioConnection();
debugPrint('REQUEST TO SERVER');
Response serverResponse = await dio.post(url, data: {
"paramsToSign": {
'public_id': 'public_id_654',
"timestamp": dateTime.millisecondsSinceEpoch,
"upload_preset": "signed_preset",
"source": "uw",
}
});
debugPrint('REQUEST TO CLOUDINARY');
String signature = serverResponse.data['signature'];
List<int> bytes = image.readAsBytesSync();
var base64Image = base64Encode(bytes);
Map<String, dynamic> map = {
'api_key': _CLOUDINARY_API_KEY,
'public_id': 'public_id_654',
'signature': signature,
'source': 'uw',
'timestamp': dateTime.millisecondsSinceEpoch,
'upload_preset': 'signed_preset',
'file': base64Image,
};
debugPrint('json : ${map}');
// FormData formData = new FormData.fromMap(map);
Response cloudinaryResponse = await dio.post(_CLOUDINARY_URL, data: map);
debugPrint('*************************** Cloudinary response : ${cloudinaryResponse.data}');
}
});
The signature is ok, since I am not getting 401 error(signature I am receiving from the server.
here is the cloudinary url:
_CLOUDINARY_URL = 'https://api.cloudinary.com/v1_1//image/upload';

That is not correct api to use on a public client (Mobile app), you shouldn't be exposing your API_KEY and API_SECRET. Check out this package instead, which uses the correct api to upload files https://pub.dev/packages/cloudinary_public

The package Olajide suggested would only work for Unsigned uploads. For anyone that wants to use Signed uploads use this package https://pub.dev/packages/cloudinary_sdk

Related

Flutter S3 download using presigned URL issue

I am attempting to use presigned urls to download files on s3 to my flutter app. I have a lambda function that generates and passes the url. The presigned url works fine by itself but once it gets into flutter the data is somehow changed and AWS comes back with 404 error. It seems that somehow the token is corrupted.
If have tried parsing the data returned as XML, JSON and with no parsing what so ever. I have also changed the output from the lambda to be JSON or just send the url directly, neither solved the issue. None of these approaches have worked. Do I have to extract XML or something?
Here's the code that gets the url from a lambda call:
http.Response res1 = await http.get(url2);
dynamic data1 = cnv.jsonDecode(res1.body); //XmlDocument.parse(res1.body);
if (data1['theStatus'] == "error") {
String theStatus2 = "error";
return theStatus2;
} else {
(data1['theUrl']);
writeData(77, data1['theUrl']); //save in Hive
return data1;
}
Here's the code that uses the presigned url:
tFuture<File?> downloadFile(String url, String name) async {
final appStorage = await getApplicationDocumentsDirectory();
final file = File('${appStorage.path}/$name');
final response = await Dio().get(
url,
options: Options(
responseType: ResponseType.bytes,
followRedirects: false,
receiveTimeout: 0,
),
);
final raf = file.openSync(mode: FileMode.write);
raf.writeFromSync(response.data);
print('file saved');
await raf.close();
return file;
}
http.Response res1 = await http.get(url2);
final data1 = cnv.jsonDecode(res1.body); //XmlDocument.parse(res1.body);
if (data1['theStatus'] == "error") {
String theStatus2 = "error";
return theStatus2;
} else {
String theUrl = data1['theUrl'];
writeData(77, data1['theUrl']); //save in Hive
return theUrl;
}
If I hard code theUrl above with a presigned url from the browser accessing the lambda everything works fine...
I believe the issue is something to do with XML but when I use XML parse it throws an error no root... Any help appreciated.
Found the issue... my lambda function did not have the correct credentials. I found the solution using this:
How I can generated pre-signed url for different file versions of AWS S3 objects in NodeJS?

Flutter send signature image to GCP bucket but file is not usable

I am trying to send a signature from flutter to a GCP Storage bucket.
Currently, I can send a file to the bucket but it's not openable.
Here is what I am using to get base64 format which I supposed is the intended format to send files.
final data = await _signaturePadKey.currentState!
.toImage(pixelRatio: 3.0);
final image = await data.toByteData(
format: ui.ImageByteFormat.png);
// To send
final base64String =
base64.encode(image!.buffer.asUint8List());
setState(() => {_signatureFile = base64String});
Then I am sending my request as :
Future postOKTrackingSignature(String signature, String projectID) async {
await refreshSTSToken(projectID);
String token = await getSTSToken();
// Headers
var headersData = {
"Authorization": "Bearer $token",
"Content-Type": "image/png"
};
// URL building
var resourcePart =
"XXX";
var paramsData = {
'uploadType': 'multipart',
'name': "${resourcePart}signature.png",
};
var baseURI = 'https://storage.googleapis.com/upload/storage/v1/b/';
String bucketName = "XXX";
var query = paramsData.entries.map((p) => '${p.key}=${p.value}').join('&');
// Body
var bodyData = signature;
final response = await http.post(
Uri.parse("$baseURI$bucketName/o?$resourcePart$query"),
headers: headersData,
body: bodyData);
switch (response.statusCode) {
case 200:
print("$baseURI$bucketName/o?$resourcePart$query");
return {"statusCode": response.statusCode};
default:
print("$baseURI$bucketName/o?$resourcePart$query");
return {"statusCode": response.statusCode, "error": response.body};
}
}
Sadly, I the file got upload but is not usable when I want to get preview, or even download it and try to open it. But while I change the extension to .txt, take the string to : https://base64.guru/converter/decode/file it show me my image a png.
I also tried this :
var dataPrepation = base64.normalize(signature);
var bodyData = "data:image/png;base64,$dataPrepation";
String example :
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
Consider Firebase Storage instead of base64; this stackoverflow topic compares the two and outlines the benefits of each.
In light of this, I strongly advise you to continue working on your project utilizing Firebase Storage.
Now, to Upload a file to Cloud Storage, you first create a reference to the full path of the file, including the file name.
// Create a storage reference from our app
final storageRef = FirebaseStorage.instance.ref();
// Create a reference to "mountains.jpg"
final mountainsRef = storageRef.child("mountains.jpg");
// Create a reference to 'images/mountains.jpg'
final mountainImagesRef = storageRef.child("images/mountains.jpg");
// While the file names are the same, the references point to different files
assert(mountainsRef.name == mountainImagesRef.name);
assert(mountainsRef.fullPath != mountainImagesRef.fullPath);
Additionally, I would suggest you review the guide for Firebase Cloud Storage in Flutter written by Dane Mackier.

How to retrieve/decode json/map from downloaded ByteStream?

I have a ByteStream downloaded from a Server, namely datas regarding the user.
Its in MySql server as
"username":"Neor","totalCoins":"350"
The truncated part of .php file that gives-away this data, is as follows:
$data = $stmt->fetchColumn();
header($_SERVER["SERVER_PROTOCOL"] . " 200 OK");
header("Cache-Control: public");
header("Content-Type: application/octet-stream");
header("Content-Transfer-Encoding: Binary");
header("Content-Length:".strlen($data));
echo $data;
I use ths Flutter code to download the data:
Future<void> downloadData() async {
var url = Uri.parse("https://example.com/mycloud.php");
var request = http.MultipartRequest('POST', url)
..fields["user"] = "Dia";
var response = await request.send();
var stream = response.stream; }
On checking if the downloaded ByteStream contains anything, I've used print(stream.length), which prints out as 137.
How can I get the information I want from the ByteStream?
(If my question lacks in any way, please let me know.)
There shouldn't be any need to use a multipart request for a simple POST. Instead use the simpler http.post method.
Future<void> downloadData() async {
final response = await http.post(
Uri.parse('https://example.com/mycloud.php'),
body: <String, String>{
'user': 'Dia',
},
);
final decodedJson = json.decode(response.body);
// if you want to ensure the character set used, replace this with:
// json.decode(utf8.decode(response.bodyBytes));
}
If you do stick with the stream way, you have a Stream<List<int>> that you want to turn initially into a List<int>. Use the toList() method on stream for that. Then you have to decode that into characters. JSON is always encoded in utf8, so you could:
json.decode(utf8.decode(await stream.toList()));
(Under the hood, http is basically doing that for you; collecting the stream together and doing the character decoding and presenting that as body.)
First
import 'dart:convert' show utf8;
String foo = utf8.decode(bytes);
Then
Map valueMap = json.decode(foo );

image picker path for stripe readfilesync Flutter Web

I'm using the file_picker package for flutter https://pub.dev/packages/file_picker
I have read many times that because you can’t access paths on web browsers, you need to use the bytes property, e.g.
FilePickerResult result = await FilePicker.platform.pickFiles();
if(result != null) {
var path = print(result.files.single.path); // this will return null
var bytes = print(result.files.singe.bytes); // this will return a Uint8List of bytes
} else {
// User canceled the picker
}
But I have to upload the images my users select from their devices via the web (so for all types of devices) to my Stripe Connect API in order for them to have a validated identity_document when they register. The bytes Uint8List will throw an error from firebase, here is my code:
export const uploadIdentityFront = async (uid: any, identityFront: any) => {
const fp = fs.readFileSync(identityFront);
const frontIdentity = await stripe.files.create({
file: {
data: fp,
name: 'identityFront.jpg',
type: 'application/octet-stream',
},
purpose: 'identity_document',
});
await updateId(uid, { frontIdentityFileId: frontIdentity.id })
return frontIdentity;
}
The error thrown:
[firebase_functions/unknown] TypeError [ERR_INVALID_ARG_TYPE]: The "path" argument must be of type string or an instance of Buffer or URL. Received an instance of Array
I will need to send stripe an image document via the file system's readFileSync property in order to do this, but with Flutter Web not being able to print the path for the image chosen by the user, I am stuck on how to resolve this issue
I use this code to send bytes to my server, which uses stream to send. You can use http package to send streams.
var request = http.MultipartRequest(
'POST',
Uri.parse('_url'),
);
request.files.add(
http.MultipartFile.fromBytes(
'identityFront', //name of field which you receive in api
bytes, // bytes
filename: 'identityFront.jpg', // optional name
//contentType: content, optional media Type
));
request.fields.addEntries([
MapEntry('uid', 'uid_value_in_String_Type'),
]);
await request.send();
I finally solved it. For anyone trying to upload a file to Stripe via flutter web, don't create a fs.readFileSync in your backend server side code. Instead, remove it and upload a file like this:
export const uploadIdentityFront = async (uid: any, identityFront: any) => {
const frontIdentity = await stripe.files.create({
file: {
data: identityFront,
name: 'identityFront.jpg',
type: 'image/jpg',
},
purpose: 'identity_document',
});
await updateId(uid, { frontIdentityFileId: frontIdentity.id })
return frontIdentity;
}
This way, you can upload the file via the file_picker package and uploading it as a picker.file.first.bytes. But don't wrap it in a string - send it just like this as a callable function in firebase functions:
await uploadFrontPassport.call(
<dynamic, dynamic>{'identityFront':picked.files.first.bytes}
);

How send data to php file With Post

I am new in flutter and I want to send data(id in my program) to a php file and get it with $_POST ,and then send the result back but the Solution's that i have found didn't work .
I think my body is wrong , I tried to change body to a
Map<String,dynamic>
but its didn't work.
Future<List<dynamic>> getData() async {
String body = "{'id' : 1}" ;
String url = "http://10.0.2.2:8080/facts/get.php";
http.Response responseData = await http.post(
url
,body: body);
print(responseData.body);
return json.decode(responseData.body);
}