Very slow download from live server - amazon-web-services

Here is my controller...
public ActionResult RequestImage(string url, int width, int height)
{
Stream stream = fileService.Request(url, width, height);
return new FileStreamResult(stream, "image/jpg");
}
The file service...
public Stream Request(string url, int width, int height)
{
var request = new S3StorageRequest(url, null, null);
var stream = s3Service.Request(request);
var outputStream = new MemoryStream();
var settings = $"maxwidth={width}";
if (height > 0)
{
settings = string.Concat(settings, $"&maxheight={height}");
}
imageResizer.Build(stream, outputStream, settings);
stream.Dispose();
outputStream.Position = 0;
return outputStream;
}
S3 request...
public Stream Request(S3StorageRequest s3Request)
{
GetObjectRequest request = new GetObjectRequest { BucketName = bucketName };
request.Key = s3Request.Path;
GetObjectResponse response = S3Client.GetObject(request);
return response.ResponseStream;
}
When I run this locally (which is still downloading from S3 over the internet), the S3 request takes around 130ms (as low as 78ms).
The images resizing takes around 50ms.
Here is the request according to the browser...
On the live server, this is what the browser says...
Its a t2.micro instance, my Windows instance is running via Parallels on a 2.4Gz i5. Any ideas what it's doing for 2s? The TTFB can go down to around 854ms.
Without the image resizing and download, its about 450ms. So the image resizing or the file response seems to be slow.

Related

Upload to GCP Storage signed url chunk by chunk for file

I was reading this post -> upload to google cloud storage signed url with javascript
and it reads the entire file into the reader, then seems to send the entire file. Is there a way instead to read a chunk, send a chunk with GCP Storage signed urls? In this way, we do not blow memory on a very large file and can do a progress bar as well as we upload?
We are fine with any javascript client as we do not currently use any right now.
thanks,
Dean
A resumable uploads work by sending multiple requests, each of which contains a portion of the object you're uploading.
When working with resumable uploads, you only create and use a signed URL for the POST request that initiates the upload. This initial request returns a session URI that you use in subsequent PUT requests to upload the data. Since the session URI acts as an authentication token, the PUT requests do not use any signed URLs.
Once you've initiated a resumable upload, there are two ways to upload the object's data:
In a single chunk: This approach is usually best, since it requires fewer requests and thus has better performance.
In multiple chunks: Use this approach if you need to reduce the amount of data transferred in any single request, such as when there is a fixed time limit for individual requests, or if you don't know the total size of the upload at the time the upload begins.
You can use the Cloud Storage Node.js library. Do note that when using a signed URL to start a resumable upload session, you will need to specify the x-goog-resumable header with start value in the request or else signature validation will fail. Refer to this documentation for additional samples, and guides for getting a signed url to allow limited time access to a bucket.
We are doing chunked uploads with composing - so we chunk the file and create a signed URL for every chunk. These chunks are then composed.
Here is a fully working C# example for chunked upload and download of a test file to a Google cloud storage bucket (it took me a long time to put my original solution together because I didn't find much online). To compile you need to install from Nuget:
https://www.nuget.org/packages/MimeTypes
https://www.nuget.org/packages/Crc32.NET/1.2.0/
You also need to install the Google Cloud storage API
https://www.nuget.org/packages/Google.Cloud.Storage.V1/
Finally it is assumed that you have a JSON file with credentials downloaded from the Google cloud console (here it is called credentials.json).
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Google.Cloud.Storage.V1;
using Google.Apis.Storage.v1.Data;
using System.Net.Http;
using System.Net.Http.Headers;
using System.IO;
using System.Xml;
using System.Web;
using Google.Apis.Auth.OAuth2;
using System.Security.Cryptography;
using Force.Crc32;
namespace GoogleCloudPOC
{
class Program
{
static StorageClient storage;
static UrlSigner urlSigner;
static string bucketName = "ratiodata";
static void Main(string[] args)
{
var credential = GoogleCredential.FromFile("credentials.json");
storage = StorageClient.Create(credential);
urlSigner = UrlSigner.FromServiceAccountPath("credentials.json");
//create a dummy file
var arr = new byte[1000000];
var r = new Random();
for(int i = 0; i < arr.Length; i++)
{
arr[i] = (byte) r.Next(255);
}
//now upload this file in two chunks - we use two threads to illustrate that it is done in parallel
Console.WriteLine("Starting parallel upload ...");
string cloudFileName = "parallel_upload_test.dat";
var threadpool = new Thread[2];
int offset = 0;
int buflength = 100000;
int blockNumber = 0;
var blockList = new SortedDictionary<int, string>();
for(int t = 0; t < threadpool.Length; t++)
{
threadpool[t] = new Thread(delegate ()
{
while (true)
{
int currentOffset = -1;
int currentBlocknumber = -1;
lock (arr)
{
if (offset >= arr.Length) { break; }
currentOffset = offset;
currentBlocknumber = blockNumber;
offset += buflength;
blockNumber++;
}
int len = buflength;
if (currentOffset + len > arr.Length)
{
len = arr.Length - currentOffset;
}
//create signed url
var dict = new Dictionary<string, string>();
//calculate hash
var crcHash = Crc32CAlgorithm.Compute(arr, currentOffset, len);
var b = BitConverter.GetBytes(crcHash);
if (BitConverter.IsLittleEndian)
{
Array.Reverse(b);
}
string blockID = $"__TEMP__/{cloudFileName.Replace('/', '*')}.part_{currentBlocknumber}_{Convert.ToBase64String(b)}";
lock (blockList)
{
blockList.Add(currentBlocknumber, blockID);
}
dict.Add("x-goog-hash", $"crc32c={Convert.ToBase64String(b)}");
//add custom time
var dt = DateTimeOffset.UtcNow.AddHours(-23); //cloud storage will delete the temp files 6 hours after through lifecycle policy (if set to 1 day after custom time)
var CustomTime = String.Format("{0:D4}-{1:D2}-{2:D2}T{3:D2}:{4:D2}:{5:D2}.{6:D2}Z", dt.Year, dt.Month, dt.Day, dt.Hour, dt.Minute, dt.Second, dt.Millisecond / 10);
dict.Add("x-goog-custom-time", CustomTime);
var signedUrl = getSignedUrl(blockID, 1, "upload", dict);
//now perform the actual upload with this URL - this part could run in the browser as well
using (var client = new HttpClient())
{
var content = new ByteArrayContent(arr, currentOffset, len);
content.Headers.ContentType = MediaTypeHeaderValue.Parse("application/octet-stream");
foreach (var kvp in dict)
{
client.DefaultRequestHeaders.Add(kvp.Key, kvp.Value);
}
var response = client.PutAsync(signedUrl, content).Result;
if (!response.IsSuccessStatusCode)
{
throw new Exception("upload failed"); //this should be replaced with some sort of exponential backoff
}
}
}
});
threadpool[t].Start();
}
for (int t = 0; t < threadpool.Length; t++)
{
threadpool[t].Join();
}
//now we compose the chunks into a single file - we can do at most 32 at a time
BlobCombine(blockList.Values.ToArray(), cloudFileName);
Console.WriteLine("... parallel upload finished");
//now use chunked download
Console.WriteLine("Starting parallel download ...");
var downloadedArr = new byte[arr.Length];
threadpool = new Thread[2];
offset = 0;
buflength = 200000;
var downloadUrl = getSignedUrl(cloudFileName, 1, "download"); //single download URL is sufficient
for (int t = 0; t < threadpool.Length; t++)
{
threadpool[t] = new Thread(delegate ()
{
while (true)
{
int currentOffset = -1;
lock (downloadedArr)
{
if (offset >= arr.Length) { break; }
currentOffset = offset;
offset += buflength;
}
int len = buflength;
if (currentOffset + len > downloadedArr.Length)
{
len = downloadedArr.Length - currentOffset;
}
//now perform the actual download with this URL - this part could run in the browser as well
var tags = new Dictionary<string, string>();
tags.Add("Range", $"bytes={currentOffset}-{currentOffset + len - 1}");
using (var client = new HttpClient())
{
var request = new HttpRequestMessage { RequestUri = new Uri(downloadUrl) };
foreach (var kvp in tags)
{
client.DefaultRequestHeaders.Add(kvp.Key, kvp.Value);
}
var response = client.SendAsync(request).Result;
var buffer = new byte[len];
lock (downloadedArr)
{
response.Content.ReadAsStream().Read(buffer, 0, len);
}
lock (downloadedArr)
{
Array.Copy(buffer, 0, downloadedArr, currentOffset, len);
}
}
}
});
threadpool[t].Start();
}
for (int t = 0; t < threadpool.Length; t++)
{
threadpool[t].Join();
}
Console.WriteLine("... parallel download finished");
//compare original array and downloaded array
for(int i = 0; i < arr.Length; i++)
{
if (arr[i] != downloadedArr[i])
{
throw new Exception("download is different from original data");
}
}
Console.WriteLine("good job: original and downloaded data are the same!");
}
static string getSignedUrl(string cloudFileName, int hours, string capability, Dictionary<string, string> tags = null)
{
string url = null;
switch (capability)
{
case "download":
url = urlSigner.Sign(bucketName, cloudFileName, TimeSpan.FromHours(hours), HttpMethod.Get);
break;
case "upload":
var requestHeaders = new Dictionary<string, IEnumerable<string>>();
if (tags != null)
{
foreach (var kvp in tags)
{
requestHeaders.Add(kvp.Key, new[] { kvp.Value });
}
}
UrlSigner.Options options = UrlSigner.Options.FromDuration(TimeSpan.FromHours(hours));
UrlSigner.RequestTemplate template = UrlSigner.RequestTemplate
.FromBucket(bucketName)
.WithObjectName(cloudFileName).WithHttpMethod(HttpMethod.Put);
if (requestHeaders.Count > 0)
{
template = template.WithRequestHeaders(requestHeaders);
}
url = urlSigner.Sign(template, options);
break;
case "delete":
url = urlSigner.Sign(bucketName, cloudFileName, TimeSpan.FromHours(hours), HttpMethod.Delete);
break;
}
return url;
}
static bool BlobCombine(string[] inputFiles, string outputFile)
{
var sourceObjects = new List<ComposeRequest.SourceObjectsData>();
foreach (var fn in inputFiles)
{
sourceObjects.Add(new ComposeRequest.SourceObjectsData { Name = fn });
}
while (sourceObjects.Count > 32)
{
var prefix = sourceObjects.First().Name.Split('.').First();
var newSourceObjects = new List<ComposeRequest.SourceObjectsData>();
var currentSplit = new List<ComposeRequest.SourceObjectsData>();
var sb = new StringBuilder();
for (int i = 0; i < sourceObjects.Count; i++)
{
sb.Append(sourceObjects[i].Name.Split('.').Last());
currentSplit.Add(sourceObjects[i]);
if (currentSplit.Count == 32)
{
var targetName = $"{prefix}.{HashStringOne(sb.ToString())}";
if (!condense(currentSplit, targetName, false))
{
return false;
}
newSourceObjects.Add(new ComposeRequest.SourceObjectsData() { Name = targetName });
currentSplit = new List<ComposeRequest.SourceObjectsData>();
sb = new StringBuilder();
}
}
if (currentSplit.Count == 1)
{
newSourceObjects.Add(currentSplit[0]);
}
if (currentSplit.Count > 1)
{
var targetName = $"{prefix}.{HashStringOne(sb.ToString())}";
if (!condense(currentSplit, targetName, false))
{
return false;
}
newSourceObjects.Add(new ComposeRequest.SourceObjectsData() { Name = targetName });
}
sourceObjects = newSourceObjects;
}
return condense(sourceObjects, outputFile, true);
}
static ulong HashStringOne(string s)
{
ulong hash = 0;
for (int i = 0; i < s.Length; i++)
{
hash += (ulong)s[i];
hash += (hash << 10);
hash ^= (hash >> 6);
}
hash += (hash << 3);
hash ^= (hash >> 11);
hash += (hash << 15);
return hash;
}
static bool condense(List<ComposeRequest.SourceObjectsData> input, string targetName, bool lastRound)
{
try
{
storage.Service.Objects.Compose(new ComposeRequest
{
SourceObjects = input
}, bucketName, targetName).Execute();
if (!lastRound)
{
//set custom time
var file = storage.GetObject(bucketName, targetName);
file.CustomTime = DateTime.UtcNow.AddHours(-23);
file = storage.UpdateObject(file);
}
else
{
//try to set mime type based on file extensions
var file = storage.GetObject(bucketName, targetName);
file.ContentType = MimeTypes.GetMimeType(targetName);
file = storage.UpdateObject(file);
}
return true;
}
catch (Exception e)
{
return false;
}
}
}
}
The upload is performed in parallel using signed URLs. Even though this is a C# command line program you could easily put that code into some ASP net core backend. There are a few lines code of code where the actual upload/download happens using httpclient - those could be done in Javascript in the browser.
The only thing that has to run on the backend is creating signed URLs - plus the compositing of the chunks (this could probably be done in the browser - but this typically isn't heavy operation and Google recommends to do these operations not using signed Urls).
Note, that you have to create a different signed URL for each upload chunk - but a single signed url is sufficient for the download.
Also note that the composition code is a bit involved because you can only combine up to 32 chunks into a new object on cloud storage - hence you might need a few rounds of composition (you can compose objects that are already composed).
I am including CRC32C hashes in the upload to make sure it's uploaded correctly. There should be some Javascript library to perform this in the browser. If you run this in the browser you need to send the hash to the backend when requesting a signed upload url because this parameter is embedded in the put header and has to be encrypted as part of the signed url.
The custom time is included and set to -23 hours from current time so that you can set a lifecycle rule on your bucket which deletes the temporary chunks one day after custom time (effectively it will be a few hours later even though it should be 1 hour after creating the chunk). You can also manually delete the chunks but I would use the custom time approach anyway to make sure you are not gunking up your bucket with failed uploads.
The above approach is truly parallel upload/download. If you just care about chunking (for a progress bar say) but you don't care about parallel threads doing the upload/download then a resumable upload is possible (you would still use the same download approach as outlined above). Such an upload has to be initiated with a single POST call and then you can upload the file chunk by chunk (similar to the way the download code works).

AWS lambda function and s3 in Asp NetCore

I am new in AWS and Asp NetCore. Help me to find the solution.
I am using Asp NetCore, how should I use lambda function to upload clipped file in s3?
I have a IFormFile but I want to use s3 url instead of IFormFile and upload in s3 bucket. I have used ffmpeg library to cut the video and I want to send url of s3 using lambda function and upload the output of clipped video file again in s3 bucket directory that i created in s3 console.
using Abp.UI;
using FFmpeg.NET;
using Microsoft.AspNetCore.Hosting;
using Microsoft.AspNetCore.Http;
using System;
using System.IO;
using Amazon.S3;
using System.Threading.Tasks;
using Amazon.S3.Transfer;
using Amazon.S3.Model;
using IdentityModel.Client;
using Amazon;
using System.Net.Http;
namespace VideoSlicer.About
{
public class AboutAppService : IAboutAppService
{
//Assigning readonly IHostingEnvironment
private readonly IHostingEnvironment _appEnvironment;
private readonly string bucketName = "videoslicerpuru";
private static readonly RegionEndpoint bucketRegion = RegionEndpoint.Region;
/*
private const string newFile = "QQ.mp4";
private const string newFile1 = "637156754716419260QQ.mp4";
private const string filePath = #"C:\Users\Purushottam\Downloads\VideoSlicer\5.1.1\aspnet-core\src\VideoSlicer.Web.Host\wwwroot\images\";*/
private static IAmazonS3 client;
//Making Constructor and passin IHostingEnvironment
public AboutAppService(IHostingEnvironment appEnvironment)
{
_appEnvironment = appEnvironment;
}
//Function which upload video and slice video accordingly start time and finish time given by the user
public async Task UploadImage(IFormFile file, string Start, string Finish)
{
HttpClient cli = new HttpClient();
cli.DefaultRequestHeaders.ExpectContinue = false;
try
{
//Taking out the extension of the file
var convertedExtension = file.FileName.Substring(file.FileName.LastIndexOf("."));
//Comparing the extension whether uploaded file is video or not
if (convertedExtension != ".mp4" && convertedExtension != ".flv" && convertedExtension != ".3GP" && convertedExtension != ".OGG" && convertedExtension != ".AVI" && convertedExtension != ".WMV ")
{
throw new UserFriendlyException("Please Select Valid Video file to clip!!");
}
//Checking if the file is null or has not been selected any file
if (file == null || file.Length == 0)
{
throw new UserFriendlyException("Please Select any file.");
}
//declaring web root path
string path_Root = _appEnvironment.WebRootPath;
//setting path root and saving video to the given path
string pathOfVideo = path_Root + "\\video\\";
string path_to_Video = path_Root + "\\images\\" + file.FileName;
using (var stream = new FileStream(path_to_Video, FileMode.Create))
{
await file.CopyToAsync(stream);
}
client = new AmazonS3Client("AccessKey", "SecretKey", bucketRegion);
TransferUtility utility = new TransferUtility(client);
TransferUtilityUploadRequest request = new TransferUtilityUploadRequest();
string nameOfFile = file.FileName.ToString();
string videoPath = path_to_Video.ToString();
await utility.UploadAsync(videoPath, bucketName, nameOfFile);
Console.WriteLine("Upload 2 completed");
//To cut video, using ffmpeg media file where the video is saved
var input = new MediaFile(path_to_Video);
//The output of the clipped video and saving in a different folder
string nameFile = DateTime.Now.Ticks + file.FileName;
string nameBucket = bucketName + "/videoslice/";
var output = new MediaFile(path_Root + "/video/" + nameFile);
client = new AmazonS3Client(bucketRegion);
//making the object of Engine using ffmpeg application file
var ffmpeg = new Engine("C:\\ffmpeg\\bin\\ffmpeg.exe");
//making object of Conversion Option of ffmpeg
var options = new ConversionOptions();
//Converting string to double
var startTime = Convert.ToDouble($"{Start}");
var finishTime = Convert.ToDouble($"{Finish}");
//clipping video by given user input
options.CutMedia(TimeSpan.FromSeconds(startTime), TimeSpan.FromSeconds(finishTime - startTime));
await ffmpeg.ConvertAsync(input, output, options);
string clipPath = path_Root + "\\video\\" + nameFile;
//Checking if start time is greater then finish time
if (startTime > finishTime)
{
throw new UserFriendlyException("Please Enter Valid Second to proceed");
}
//Checking if start time is equal to finish time
if (startTime == finishTime)
{
throw new UserFriendlyException("Please Enter Valid Second to proceed");
}
var a = utility.UploadAsync(clipPath, nameBucket, nameFile);
Console.WriteLine("Upload 2 completed");
}
catch (AmazonS3Exception e)
{
string err = e.Message;
throw e;
}
catch (InternalBufferOverflowException a)
{
string me = a.Message;
throw a;
}
catch (HttpRequestException c)
{
string error = c.Message;
throw c;
}
catch (DriveNotFoundException e)
{
string mes = e.Message;
throw e;
}
catch(NullReferenceException e)
{
throw new UserFriendlyException (500, "Please Select a file to proceed",e.Message);
}
}
}
}

Getting EntityTooSmall Exception

I am trying to download data from Azure blob in chunk and then trying to upload same chunk to aws s3 bucket.
While uploading I am getting "Your proposed upload is smaller than the minimum allowed size"exception. One thing I noticed, in upload response I am getting 0 content length. Data size I am trying is more than 300MB.
Any pointers what could be wrong here?
Below is my code snippet :
var remainingLength = blob.Properties.Length;
long startPosition = 0;
List<UploadPartResponse> uploadResponses = new List<UploadPartResponse>();
int i = 1;
string uploadId = string.Empty;
//Step 1: build and send a multi upload request
var initiateRequest = new InitiateMultipartUploadRequest
{
BucketName = existingBucketName,
Key = "firstobj"
};
var initResponse = client.InitiateMultipartUpload(initiateRequest);
uploadId = initResponse.UploadId;
do
{
var blockSize = Math.Min(segmentSize, remainingLength);
using (var ms = new MemoryStream())
{
blob.DownloadRangeToStream(ms, startPosition, blockSize);
//Step 2: upload each chunk (this is run for every chunk unlike the other steps which are run once)
var uploadRequest = new UploadPartRequest
{
BucketName = existingBucketName,
Key = "firstobj",
UploadId = uploadId,
PartNumber = i,
PartSize = ms.Length,
InputStream = ms
};
// Upload part and add response to our list.
var temp = client.UploadPart(uploadRequest);
uploadResponses.Add(temp);
}
//Step 3: build and send the multipart complete request
if (blockSize < segmentSize)
{
var completeRequest = new CompleteMultipartUploadRequest
{
BucketName = existingBucketName,
Key = "firstobj",
UploadId = uploadId,
};
completeRequest.AddPartETags(uploadResponses);
client.CompleteMultipartUpload(completeRequest);
}
startPosition += blockSize;
remainingLength -= blockSize;
i++;
}
while (remainingLength > 0);
After banging my head a lot, I got solution for this. It was in step 2 just before uploading part to AWS we should set stream position to 0.
uploadRequest.InputStream.Position = 0;

Access denied - Amazon s3 file upload - Multipart pdf and audio file

I am uploading multipart audio and pdf files to Amazon se using Java Play framework. Files have been successfully uploaded on Amazon S3. But I am unable to access them by URL even I set the Access Channel List as "Public Read while uploading files.
Here is code I used for uploading files
public void uploadFile2(String bucketName, String folderName,File file)
throws Exception{
try {
validateCrediantals();
}catch (Exception e){
throw e;
}
List<PartETag> partETags = new ArrayList<PartETag>();
// Step 1: Initialize.
InitiateMultipartUploadRequest initRequest = new
InitiateMultipartUploadRequest(bucketName, folderName).withCannedACL(CannedAccessControlList.PublicRead);
InitiateMultipartUploadResult initResponse =
amazonS3.initiateMultipartUpload(initRequest);
long contentLength = file.length();
long partSize = 5242880; // Set part size to 5 MB.
try {
// Step 2: Upload parts.
long filePosition = 0;
for (int i = 1; filePosition < contentLength; i++) {
// Last part can be less than 5 MB. Adjust part size.
partSize = Math.min(partSize, (contentLength - filePosition));
// Create request to upload a part.
UploadPartRequest uploadRequest = new UploadPartRequest()
.withBucketName(bucketName).withKey(folderName)
.withUploadId(initResponse.getUploadId()).withPartNumber(i)
.withFileOffset(filePosition)
.withFile(file)
.withPartSize(partSize);
// Upload part and add response to our list.
partETags.add(
amazonS3.uploadPart(uploadRequest).getPartETag());
filePosition += partSize;
}
// Step 3: Complete.
CompleteMultipartUploadRequest compRequest = new
CompleteMultipartUploadRequest(
bucketName,
folderName,
initResponse.getUploadId(),
partETags);
amazonS3.completeMultipartUpload(compRequest);
} catch (Exception e) {
amazonS3.abortMultipartUpload(new AbortMultipartUploadRequest(
bucketName, folderName, initResponse.getUploadId()));
}
}
This is the error I am getting when I try to hit the file URL
> <Error>
<Code>AccessDenied</Code>
<Message>Access Denied</Message>
<RequestId>3A791F42F7EE2DBB</RequestId>
<HostId>
jzdu7uNv4RAkqMcaX2BGIK2Zs77j3kO0xPozxS6vcje0MOZIAVm55ZfC9LhgIg1lIuqXWwonpB4=
</HostId>
</Error>
This is the policy I am using
public void setBucketPolicy(String bucketName){
if(isBucketExist(bucketName)){
Statement allowPublicReadStatement = new Statement(Statement.Effect.Allow)
.withPrincipals(Principal.AllUsers)
.withActions(S3Actions.GetObject)
.withResources(new S3ObjectResource(bucketName, "*"));
Policy policy = new Policy()
.withStatements(allowPublicReadStatement
);
amazonS3.setBucketPolicy(bucketName, policy.toJson());
}
}

How to download a FaceBook user photo

I use to use CCHttpRequest(cocos2dx) to request a photo from internet and it works for URL like "https://www.baidu.com/img/bdlogo.png".
However I can't download the FB friend photo by CCHttpRequest. The photo URL is "https://graph.facebook.com/1386570461651640/picture…"
Furthermore I tried NSRequest(OC). It worked for this URL and downloaded the photo.
So, anyone knows how to download friends photo by CCHttpRequest or any other method which works in *.cpp file.
This code
string _id = "" // id require to whome you want to fectch photo
HttpRequest* request = new (std::nothrow) HttpRequest();
string url = "https://graph.facebook.com/"+_id+"/picture?height=120
&width=120";
request->setUrl(url.c_str());
request->setRequestType(cocos2d::network::HttpRequest::Type::GET);
request->setResponseCallback(CC_CALLBACK_2(HellowWorld::onRequestImgCompleted, this));
request->setTag("GetImage");
HttpClient::getInstance()->send(request);
request->release();
void HellowWorld::onRequestImgCompleted(HttpClient *sender, HttpResponse *response)
{
log("AppDelegate::onHttpRequestCompleted - onHttpRequestCompleted BEGIN");
if (!response)
{
log("onHttpRequestCompleted - No Response");
return;
}
log("onHttpRequestCompleted - Response code: %lu", response->getResponseCode());
if (!response->isSucceed())
{
log("onHttpRequestCompleted - Response failed");
log("onHttpRequestCompleted - Error buffer: %s", response->getErrorBuffer());
return;
}
log("onHttpRequestCompleted - Response code: %s", response->getResponseDataString());
std::vector<char> *buffer = response->getResponseData();
Image * image = new Image ();
image-> initWithImageData ( reinterpret_cast<const unsigned char*>(&(buffer->front())), buffer->size());
Texture2D * texture = new Texture2D ();
texture-> initWithImage (image);
Sprite* sp = Sprite::createWithTexture(texture);
add(sp);
sp->setPosition(Vec2(100, 100));
}