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 );
Related
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?
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.
i am new to flutter and want to print only my name
my code is below i tryed but i am getting error
var resBody = await http.post(
my_url,
headers: header,
);
print(resBody.body);
i get data like this
[{name:hari,age:26,sex:male}]
i want to print name only i tryed like this but it does not work i dont know whats wrong here
print(resBody.body.name);
i getiing error
how do i print any data like that
You can access the data using key of the json object try this
var resBody = await http.post(
my_url,
headers: header,
);
final data=jsonDecode(resBody.body)//Parses the string and returns the resulting Json object
print(data[0]["name"]
Try below code,and used jsonDecode(resBody.body)['name'] jsonDecode
var resBody = await http.post(
my_url,
headers: header,
);
final jsonData=jsonDecode(resBody.body)['name'];//it prints only name of your json string
print(jsonData);
I have a weird issue using the dart HttpClient where it seems like it's not reading the full response before "finishing". This is the code I have:
HttpClient client = new HttpClient();
client.connectionTimeout = Duration(seconds: 60);
Completer<MealPlan> completer = new Completer();
RecipeSearchFilter filter = new RecipeSearchFilter();
filter.restrictions = intolerances.map((intolerance) => intolerance.name).toList();
MealPlan mealPlan;
client
.getUrl(Uri.parse(
"https://myUrl.com/api/meal-plans?filter=${jsonEncode(filter)}"))
.then((HttpClientRequest request) {
request.headers.set("Authorization", "Bearer $idToken");
return request.close();
}).then((HttpClientResponse response) {
response.transform(utf8.decoder).listen((contents) {
Map<String, dynamic> contentMap = jsonDecode(contents);
mealPlan = MealPlan.fromJson(contentMap);
}, onDone: () => completer.complete(mealPlan));
});
return completer.future;
This is the most intensive function that my app contains, so this particular API itself typically takes 6-8 seconds to fully complete since there's a lot going on behind the scenes. The response isn't big (~60KB). Making the exact same call using Postman I can see that it does indeed return everything as expected, but if I look at the response inside of the }).then((HttpClientResponse response) { block, it only contains a very small, partial bit of the response. I'm not sure what I'm doing wrong here, but I'm guessing that I've configured the HttpClient incorrectly.
The problem is that your response will be delivered by the stream in pieces. After passing those chunks through the utf8 decoder, you should then form them into a single string before trying to json decode it. Currently you try to json decode the first chunk without waiting for the rest.
It's much easier to use the package:http which is a wrapper around HttpClient, and does a lot of the grunt work for you. Also, it's more readable to use the async/await syntax rather than .then.
Using an async method you could write, for example:
void getPlan(Map filter, String idToken) async {
var response = await http.get(
Uri.parse('https://myUrl.com/api/meal-plans?filter=${jsonEncode(filter)}'),
headers: <String, String>{
'Authorization': 'Bearer $idToken',
},
);
return MealPlan.fromJson(json.decode(response.body));
}
If you really want to control the connection timeout, you need to pass in your own HttpClient, as follows:
var client =
http.IOClient(HttpClient()..connectionTimeout = Duration(seconds: 60));
var response = await client.get(
//etc
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);
}