When trying to access google translate api from an android application it gives the following error:
java.lang.RuntimeException: An error occurred while executing doInBackground()
....
Caused by: com.google.cloud.translate.TranslateException: Invalid Value
...
Caused by: com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid Value",
"reason" : "invalid"
} ],
"message" : "Invalid Value"
The code inside doInBackground method() is:
Translate translate = TranslateOptions.newBuilder()
.setApiKey("myAPI_key").build().getService();
Translation translation = translate.translate(
params[0],
Translate.TranslateOption.sourceLanguage("en"),
Translate.TranslateOption.targetLanguage("al"));
return translation.getTranslatedText(); }
The string I pass is in english. Can anyone help me figuring out this error?
Thanks in advance.
Your problem is in the line:
Translate.TranslateOption.targetLanguage("al"));
al is not a correct code for any supported language.
You can check the complete list of supported languages in the Google APIs Explorer.
Related
I have deployed a Google Cloud Dataflow job using Apache Beam which reads from a Kafka source and writes to BigQuery. Data is being written successfully, however I am infrequently receiving an exception with this stack trace:
java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: java.io.IOException: com.google.api.client.googleapis.json.GoogleJsonResponseException: 410 Gone
{
"code" : 503,
"errors" : [ {
"domain" : "global",
"message" : "Backend Error",
"reason" : "backendError"
} ],
"message" : "Backend Error"
}
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:184)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:102)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1057)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:438)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:125)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1060)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:930)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:368)
org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:94)
org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:42)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:115)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:134)
org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1324)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:151)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:1053)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.beam.sdk.util.UserCodeException: java.io.IOException: com.google.api.client.googleapis.json.GoogleJsonResponseException: 410 Gone
{
"code" : 503,
"errors" : [ {
"domain" : "global",
"message" : "Backend Error",
"reason" : "backendError"
} ],
"message" : "Backend Error"
}
org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:34)
org.apache.beam.sdk.io.gcp.bigquery.WriteGroupedRecordsToFiles$DoFnInvoker.invokeProcessElement(Unknown Source)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:218)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:180)
org.apache.beam.runners.dataflow.worker.StreamingSideInputDoFnRunner.processElement(StreamingSideInputDoFnRunner.java:73)
org.apache.beam.runners.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:335)
org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:182)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:102)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1057)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:438)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:125)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1060)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:930)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:368)
org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:94)
org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:42)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:115)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:134)
org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:201)
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159)
org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1324)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1000(StreamingDataflowWorker.java:151)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$6.run(StreamingDataflowWorker.java:1053)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: com.google.api.client.googleapis.json.GoogleJsonResponseException: 410 Gone
{
"code" : 503,
"errors" : [ {
"domain" : "global",
"message" : "Backend Error",
"reason" : "backendError"
} ],
"message" : "Backend Error"
}
com.google.cloud.hadoop.util.AbstractGoogleAsyncWriteChannel.waitForCompletionAndThrowIfUploadFailed(AbstractGoogleAsyncWriteChannel.java:367)
com.google.cloud.hadoop.util.AbstractGoogleAsyncWriteChannel.close(AbstractGoogleAsyncWriteChannel.java:238)
org.apache.beam.sdk.io.gcp.bigquery.BigQueryRowWriter.close(BigQueryRowWriter.java:76)
org.apache.beam.sdk.io.gcp.bigquery.WriteGroupedRecordsToFiles.processElement(WriteGroupedRecordsToFiles.java:73)
Caused by: com.google.api.client.googleapis.json.GoogleJsonResponseException: 410 Gone
{
"code" : 503,
"errors" : [ {
"domain" : "global",
"message" : "Backend Error",
"reason" : "backendError"
} ],
"message" : "Backend Error"
}
com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:150)
com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:528)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:448)
com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:565)
com.google.cloud.hadoop.util.AbstractGoogleAsyncWriteChannel$UploadOperation.call(AbstractGoogleAsyncWriteChannel.java:301)
java.util.concurrent.FutureTask.run(FutureTask.java:266)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:748)
I also receive the following warnings infrequently:
Request failed with code 410(or 409), performed 0 retries due to IOExceptions, performed 1 retries due to unsuccessful status codes, HTTP framework says request can be retried, (caller responsible for retrying): {URL}
When I navigate to the provided URL, I receive either a Method not Allowed message (For Error code 410), or a
Request is missing required authentication credential. Expected OAuth 2 access token, login cookie or other valid authentication credential. See https://developers.google.com/identity/sign-in/web/devconsole-project.
error message (For Error code 409).
Is there a way to debug further as to why this error is occurring?
I'm using Google Cloud Data Flow and when I execute this code :
public static void main(String[] args) {
String query = "SELECT * FROM [*****.*****]";
Pipeline p = Pipeline.create(PipelineOptionsFactory.fromArgs(args).withValidation().create());
PCollection<TableRow> lines = p.apply(BigQueryIO.read().fromQuery(query));
p.run();
}
I have this
(332b4f3b83bd3397): java.io.IOException: Query job beam_job_d1772eb4136d4982be55be20d173f63d_testradiateurmodegfcvsoasc07281159145481871-query failed, status: {
"errorResult" : {
"message" : "Cannot read and write in different locations: source: EU, destination: US",
"reason" : "invalid"
},
"errors" : [ {
"message" : "Cannot read and write in different locations: source: EU, destination: US",
"reason" : "invalid"
}],
"state" : "DONE"
}.
at org.apache.beam.sdk.io.gcp.bigquery.BigQueryQuerySource.executeQuery(BigQueryQuerySource.java:173)
at org.apache.beam.sdk.io.gcp.bigquery.BigQueryQuerySource.getTableToExtract(BigQueryQuerySource.java:120)
at org.apache.beam.sdk.io.gcp.bigquery.BigQuerySourceBase.split(BigQuerySourceBase.java:87)
at com.google.cloud.dataflow.worker.runners.worker.WorkerCustomSources.splitAndValidate(WorkerCustomSources.java:261)
at com.google.cloud.dataflow.worker.runners.worker.WorkerCustomSources.performSplitTyped(WorkerCustomSources.java:209)
at com.google.cloud.dataflow.worker.runners.worker.WorkerCustomSources.performSplitWithApiLimit(WorkerCustomSources.java:184)
at com.google.cloud.dataflow.worker.runners.worker.WorkerCustomSources.performSplit(WorkerCustomSources.java:161)
at com.google.cloud.dataflow.worker.runners.worker.WorkerCustomSourceOperationExecutor.execute(WorkerCustomSourceOperationExecutor.java:47)
at com.google.cloud.dataflow.worker.runners.worker.DataflowWorker.executeWork(DataflowWorker.java:341)
at com.google.cloud.dataflow.worker.runners.worker.DataflowWorker.doWork(DataflowWorker.java:297)
at com.google.cloud.dataflow.worker.runners.worker.DataflowWorker.getAndPerformWork(DataflowWorker.java:244)
at com.google.cloud.dataflow.worker.runners.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:125)
at com.google.cloud.dataflow.worker.runners.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:105)
at com.google.cloud.dataflow.worker.runners.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:92)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
I already read theses posts 37298504, 42135002
and https://github.com/GoogleCloudPlatform/DataflowJavaSDK/issues/405 but no solution work for me.
For more information :
The BigQuery table is located in EU
I tried to starting the job with --zone=europe-west1-b and region=europe-west1-b
I using the DataFlowRunner
When I go to the BigQuery Web UI, I see
theses temporary datasets
EDIT : I solved my problem by using the version 1.9.0 of the dataflow SDK
Got the following error while trying to create a folder in my app folder:
com.microsoft.graph.http.GraphFatalServiceException: [This is an unexpected error from Graph, please report this at https://github.com/microsoftgraph/msgraph-sdk-android/issues]
POST https://graph.microsoft.com/v1.0/me/drive/special/approot/children
SdkVersion : graph-android-v1.2.0
Authorization : bearer <REDACTED>
{"folder":{},"name":"gg"}
500 : Internal Server Error
Duration : 234.839
Cache-Control : private
X-Android-Sent-Millis : 1489454003081
Content-Type : application/json
x-ms-ags-diagnostic : {"ServerInfo":{"DataCenter":"West US","Slice":"SliceA","ScaleUnit":"000","Host":"AGSFE_IN_2","ADSiteName":"WST"}}
request-id : f25e8a83-5b40-493f-811c-7c9731790c9f
Date : Tue, 14 Mar 2017 01:13:37 GMT
Transfer-Encoding : chunked
X-Android-Response-Source : NETWORK 500
client-request-id : f25e8a83-5b40-493f-811c-7c9731790c9f
X-Android-Received-Millis : 1489454003395
{
"error": {
"code": "generalException",
"message": "An unspecified error has occurred.",
"innerError": {
"request-id": "f25e8a83-5b40-493f-811c-7c9731790c9f",
"date": "2017-03-14T01:13:37"
}
}
}
Per the app folder and the create folder documentation, the request should work given I have "Files.ReadWrite.AppFolder" permission scope.
I created the folder manually and tried to access its metadata and it failed similarly:
com.microsoft.graph.http.GraphFatalServiceException: [This is an unexpected error from Graph, please report this at https://github.com/microsoftgraph/msgraph-sdk-android/issues]
GET https://graph.microsoft.com/v1.0/me/drive/special/approot:/gg:
SdkVersion : graph-android-v1.2.0
Authorization : bearer <REDACTED>
500 : Internal Server Error
Duration : 199.4711
Cache-Control : private
X-Android-Sent-Millis : 1489455064558
Content-Type : application/json
x-ms-ags-diagnostic : {"ServerInfo":{"DataCenter":"West US","Slice":"SliceA","ScaleUnit":"003","Host":"AGSFE_IN_3","ADSiteName":"WST"}}
request-id : 660fad6b-491a-4876-98c5-9160c9f8715c
Date : Tue, 14 Mar 2017 01:31:19 GMT
Transfer-Encoding : chunked
X-Android-Response-Source : NETWORK 500
client-request-id : 660fad6b-491a-4876-98c5-9160c9f8715c
X-Android-Received-Millis : 1489455064872
{
"error": {
"code": "generalException",
"message": "An unspecified error has occurred.",
"innerError": {
"request-id": "660fad6b-491a-4876-98c5-9160c9f8715c",
"date": "2017-03-14T01:31:20"
}
}
}
There's a file in the app directory that I can access via its item id and get its contents without issues.
Any ideas what might be causing this issue?
The Files.ReadWrite.AppFolder scope is not currently supported, but cannot be removed for a list of reasons which are unfortunate. You will need to use a different scope, such as Files.ReadWrite, to gain access and create this folder.
Note that even after changing permissions requested by your app, you will need to reconsent to the app to get the new permissions. You can force that to happen to adding &prompt=consent to the end of the OAuth2 Authorization URL or you can remove consent to your app first from
In some google accounts when trying to get comments by :
req = Drive.comments().list(id);
req.execute();
I'm getting this exception :
{
"code" : 500,
"message" : null
}
at com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:145)
at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest$1.interceptResponse(AbstractGoogleClientRequest.java:312)
at com.google.api.client.http.HttpRequest.execute(HttpRequest.java:1049)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:410)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:343)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:460)
Any idea what could be a problem ?
HTTP 500 error means there is an internal server error, Google guys should fix it.
While using Youtube API samples for Java for uploading a file to youtube, I get this:
Error at line: Video returnedVideo = videoInsert.execute();
Error Stack
com.google.api.client.googleapis.json.GoogleJsonResponseException: 500 Internal Server Error
{
"code" : 500,
"message" : null
}
at com.google.api.client.googleapis.json.GoogleJsonResponseException.from(GoogleJsonResponseException.java:145)
at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:113)
at com.google.api.client.googleapis.services.json.AbstractGoogleJsonClientRequest.newExceptionOnError(AbstractGoogleJsonClientRequest.java:40)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:423)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed(AbstractGoogleClientRequest.java:343)
at com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute(AbstractGoogleClientRequest.java:460)
at com.omp.util.YoutubeUtil.uploadVideo(YoutubeUtil.java:141)
A related issue is already raised here: https://code.google.com/p/gdata-issues/issues/detail?id=6352
Resolved automatically after a day or two! Definitely an API problem.