Reputation: 21
Hi I'm newbie in android!
I want to upload image file from android client to server(Server makes thumbnail, and return thumbnail's url).
However I stucked in this error message.
{"errorMessage":"RequestId: 8e2a21b8-e62e-11e8-8585-d9b6fdfec9b9 Process exited before completing request"}!
I tried to find this error code in stackoverflow, but i cannot found answer for android.
Please help or give me link where I can solve this problem...
Here is server code.
const AWS = require('aws-sdk');
const multipart = require("parse-multipart");
const s3 = new AWS.S3();
const bluebird = require('bluebird');
exports.handler = function(event, context) {
let result = [];
const bodyBuffer = new Buffer(event['body-json'].toString(), 'base64');
const boundary = multipart.getBoundary(event.params.header['Content-Type']);
const parts = multipart.Parse(bodyBuffer, boundary);
const files = getFiles(parts);
return bluebird.map(files, file => {
console.log('UploadCall');
return upload(file)
.then(
data => {
result.push({
'bucket': data.Bucket,
'key': data.key,
'fileUrl': file.uploadFile.fullPath })
console.log( `DATA => ${JSON.stringify(data, null, 2 )}`);
},
err => {
console.log(`S3 UPLOAD ERR => ${err}`);
}
)
})
.then(_=> {
return context.succeed(result);
});
}
let upload = function(file) {
console.log('PutObject Call')
return s3.upload(file.params).promise();
};
let getFiles = function(parts) {
let files = [];
parts.forEach(part => {
const buffer = part.data
const fileName = part.filename;
const fileFullName = fileName;
const originBucket = 'dna-edge/images';
const filefullPath = `https://s3.ap-northeast-2.amazonaws.com/${originBucket}/${fileFullName}`;
const params = {
Bucket: originBucket,
Key: fileFullName,
Body: buffer
};
const uploadFile = {
size: buffer.toString('ascii').length,
type: part.type,
name: fileName,
fullPath: filefullPath
};
files.push({ params, uploadFile })
});
return files;
};
And this is client code.(imgURL looks like /storage/emulated/0/DCIM/img/1493742568136.jpg)
public static String requestHttpPostLambda(String url, String imgURL){
/*
await axios.post(`${AWS_LAMBDA_API_URL}?type=${type}`, formData,
{ headers: { 'Content-Type': 'multipart/form-data' }})
.then((response) => {result = response});
*/
String result=null;
try {
HttpClient client = new DefaultHttpClient();
String postURL = url;
HttpPost post = new HttpPost(postURL);
post.setHeader("Content-Type", "multipart/form-data");
File file = new File(imgURL);
MultipartEntityBuilder builder = MultipartEntityBuilder.create();
builder.setMode(HttpMultipartMode.BROWSER_COMPATIBLE);
builder.addPart("image", new FileBody(file));
post.setEntity(builder.build());
HttpResponse responsePOST = client.execute(post);
Log.e("HttpResponse", responsePOST.getStatusLine()+"");
HttpEntity resEntity = responsePOST.getEntity();
if (resEntity != null) {
result = EntityUtils.toString(resEntity);
}
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
Upvotes: 2
Views: 1574
Reputation: 4486
Welcome to stackoverflow.
So for some reason AWS aren't too good an updating the docs, don't use context.succeed, use the callback thats passed as a third param.
Also I'd move to Node 8.10 runtime because then rather than using promises/then pattern you can use async/await.
export default(event, context, callback) => {
try {
// do some stuff
callback(null, SOME_VALID_HTTP_RESPONSE)
} catch(e){
callback(e, null)
}
}
There's a few reason your Lambda could be failing, if the process exited before completing it's either crashing OR you're not returning a valid HTTP response(if your lambda is behind API gateway)
Two solutions - first place to look is in cloudwatch, find your lambda function name and check the latest log to look for error messages.
Second - check out my answer here so when your function succeeds you need to return a valid HTTP response to API Gateway so in essence if you use my code from there you can do:
callback(null, responder.success({someJson: someValue}))
Any questions let me know :-)
EDIT: I'm updating this question I'm just working on an example for a multiple file upload to S3!
Upvotes: 2