I'm writing a NDK wrapper around libspotify on Android. But sp_session_callbacks:: logged_in callback never called.
This is content of tracefile:
libspotify trace from 12.1.51.g86c92b43 Release Android-arm
< sp_session_create() = 0
> sp_session_login(0x240ea8 'moodstream1#gmail.com' '<hidden>' 0) on 0x400fc4c8
This is a log received with sp_session_callbacks:: log_message callback.
13:30:07.361 I [offline_authorizer.cpp:297] Unable to login offline: no such user
13:30:07.372 I [ap:1752] Connecting to AP ap.spotify.com:4070
13:30:07.382 I [network.cpp:438] Connecting to 193.182.8.10:4070
13:30:07.526 I [ap:1226] Connected to AP: 193.182.8.10:4070
As you see session was created correctly.
I've tested on real devices and emulator. The result is the same. Any ideas?
The problem could be that they are not driving libspotify properly. This is one of the common problems that people have.
Specifically it is important to listen to the notify_main_thread callback. This indicates that libspotify needs to process some data from the GUI main thread.
sp_session_process_events should then be called from the GUI main thread. sp_session_process_events must also be called periodically based on the next_timeout value returned
The faq covers this https://developer.spotify.com/technologies/libspotify/faq/ and the sp_shell examples serves as an illustration.
can you provide a code snippet that shows such error? From a quick test (using the spshell example) I get the logged_in callback called correctly on Android.
As daek says, and judging from the output to the tracefile, it seems you're not driving the libspotify event processing using sp_session_process_events() and listening to the notify_main_thread callback.
When correctly implemented you should be able to observe a "sp_session_process_events" line now and then in the tracefile log.
Related
I'm trying to write BLE Android app. I found that sometimes when I call
BluetoothGatt.writeDescriptor() it returns false.
I have not found in documentation any note of limitation to this function. But ppl on stack overflow says that I need to wait for BluetoothGattCallback.onDescriptorWrite() before I try to write another descriptor.
Here is one reply saying that BLE is busy with writeDescriptor() and can not do other write.
Here is another thread saying that you can not call twice writeCharacteristic().
My questions are
is it really true?
is there really missing some internal android API buffer for serializing BLE requests and every developer has to do it on it's own?
Is it true for different functions? For example when I call writeDescriptor() I understand I can not call second time writeDescriptor() before I receive onDescriptorWrite(). But do I have to wait for onDescriptorWrite() when I want to call writeCharacteristic()?
Also if there is inter-function dependency then what else function have this limitation (namely: readCharacteristic(), readDescriptor(), requestMtu()...)?
And additionally is there interdependency between BluetoothGattServer and BluetoothGatt. So for example when I call BluetoothGattServer.notifyCharacteristicChanged() shall I wait forBluetoothGattServerCallback.onNotificationSent before I can call BluetoothGatt.writeDescriptor() or BluetoothGatt.writeCharacteristic()? (BTW praise for google documentation onNotificationSent() is by luck documented properly. Doc says:
When multiple notifications are to be sent, an application must wait
for this callback to be received before sending additional
notifications.
Lastly having all this questions - I feel that Android BLE API is under-documented. Or am I wrong and there is documented somewhere what are allowed methods calling sequences? If yes can you please point me to such documentation? If not is there some channel we can open issue with google and ask them to add to documentation something? I mean it may not be much text - some function like onNotificationSent() is arleady properly documented. They just need to copy this sentence to other functions.
The documentation lacks information. However you can read the source code to find out the rules, which (currently) are the following:
For each BluetoothGatt object, you can only have one outstanding request at a time, including requestMtu, readCharacteristic, writeCharacteristic, readDescriptor, writeDescriptor and executeReliableWrite. So if you issue a read request you need to wait for the read response before you issue a write request. While they implemented the code that returns false if there is an ongoing operation in BluetoothGatt.java, they forgot to do this for requestMtu, so if you have multiple requests at a time where requestMtu is one of them, you will get random errors sooner or later (in the latest versions at the time of this post).
So yes, every developer has to manually serialize the requests. Note that the Bluetooth stack actually has a queue of requests, but it is limited to only one request per client (i.e. BluetoothGatt object). So if two apps on the same phone talk to the same device simultaneously you will never get "busy" errors. The only exception is if you use Write Without Response for which the current data flow implementation is quite buggy (see https://issuetracker.google.com/issues/37121017 which Google seems to have ignored).
You can send notifications at the same time as you write a characteristic, since the server and client roles are separated.
Regarding updating the documentation, you can always try to file an issue at https://issuetracker.google.com (but I get the feeling nobody reads that), or, since Android is open source, send a pull request to https://android-review.googlesource.com/ which updates the Javadoc from which the documentation is generated.
I'm using https://github.com/google/go-gcm to send push notifications from our Go backend to Android devices. Recently, these push notifications started failing because the call to SendXmpp() was returning with the following error:
write tcp <IP>:<port>-><IP>:<port>: write: connection timed out
Restarting the Go process that called SendXmpp() makes this error go away, and push notifications start working again. But of course, restarting the Go process isn't ideal. Is there something I can do explicitly to handle this kind of error? For instance, should I close the current XmppClient and retry sending the message, so that the retry instantiates a new XmppClient and opens a new connection?
I would recommend using or implementing a (exponential) backoff. There are a number of options on GitHub here; https://github.com/search?utf8=%E2%9C%93&q=go+backoff though that's surely not a comprehensive list and it's not terribly difficult to implement.
The basic idea is you pass the function you'd like to call in to the back off function which calls it until it hits a max failures limit or it succeeds. Between each failure the amount of time waited is increased. If you're hammering a server, causing it to return errors, a method like this will typically solve your problems and make your application more reliable.
Additionally, I'd recommending looking for one that has an abort feature. This can be implemented fairly easily in Go by passing a channel into the backoff function (with the function you want to call). Then if your app needs to stop you can signal on the abort channel so that the back off isn't sitting there with like a 300 second wait.
Even if this doesn't resolve your specific problem it will generally have a positive effect on your apps reliability and 3rd party API's you interact with (don't want to DOS your partners).
Inside an android Service I connect to the Microsoft Band 2 and read data from all the sensors.(I want to receive data even if the screen is locked).
However, after a while I stop receiving any data (no more callback are called). Also, there is not event coming on the connection callback - where I should expect connection states changes to be signaled.
I should also mention that I am registering for all possible sensor events.
My code is similar to the one in the documentation examples, but I can provide snippets if useful (the documentation contains samples for connecting inside activities but it should work the same).
Has anybody encountered this issue or a similar behavior?
You should probably enable WakeLock. I had my MBand2 transfer realtime data (via a Service) throughout the day/night with no data loss or connection issues.
I am getting started with BLE development. I am trying to dig into the source code of a SensorTag Android app. But my small brain is having some difficulties in understanding the callbacks conceptually. According to the the callback explained by Wikipedia, it is a routine called within another routine upon some trigger. I would like to know how callbacks are applied in the context of BLE. For example, why reading and writing a characteristics on BLE server need callbacks? Thanks!
They need callbacks because all of BLE is asynchronous. So, you can request to read an attribute, some X other events can occur, and then the data you requested shows up. Unless you want your program to freeze until it gets the data you requested, you have to postpone processing the result with a callback.
My Android app uses the AWS Java SDK for uploading user photos to S3.
Whenever a user's phone's clock is 'skewed', this causes all transfers to fail. This is a well documented aspect of S3:
http://aws.amazon.com/articles/1109?_encoding=UTF8&jiveRedirect=1#04
It appears that the upstream S3 service reports this error quite clearly:
HTTP Status Code: 403 Forbidden
Error Code: RequestTimeToo-Skewed
Description: The difference between the request time and the server's
time is too large.
However when using the Java SDK, it seems as if the informative 403 code is lost ... and I have only an opaque "TransferState.Failed" to go by (which incidentally is the same error if internet connectivity is lost, if it times out, etc...).
As far as I can tell from the docs:
http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/index.html
http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/services/s3/transfer/TransferProgress.html
http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/services/s3/transfer/Transfer.TransferState.html
http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/services/s3/transfer/Upload.html
There is no way to get the additional "RequestTimeToo-Skewed" metadata about a transfer failure.
Am I missing it? Is there any way to get additional error information when an S3 transfer fails using Amazon's Java SDK?
UPDATE #1:
A commenter kindly highlighted that I should clarity two points:
I am actually using the AWS SDK for Android (which seems very similar to the Java SDK, but is nonetheless distinct)
I am using the TransferManager class to perform my upload. Apparently, this is a high-level class that wraps the lower-level AmazonS3Client ... and this lower-level class should expose the error reporting I need, but I am still investigating the exact tradeoffs involved between TransferManager and AmazonS3Client. As far as I can tell, there is no way to get progress information via the (synchronous) AmazonS3Client.putObjectRequest which would be a blocker for me...
UPDATE #2:
My sincere thanks to Jason (of the AWS SDK team) for stopping by and helping me out here. The important information is, indeed, available as properties on an AmazonS3Exception if you use certain methods. The docs had originally confused me and I thought that a manual Thread.sleep() loop was required to poll status (and thus I could not leverage waitForCompletion or waitForException), but if you use ProgressListener on PutObjectRequest you can get full progress callbacks and the error-fidelity of AmazonS3Exception.
these two methods should help you out:
Transfer.waitForCompletion()
Transfer.waitForException()
If you detect that your transfer has failed based on a transfer progress event, you can simply call Transfer.waitForException() to be returned the exception that occurred. That exception will be an AmazonServiceException in this case, with all of the info that you need to see that the real problem was a clock skew issue.
Alternatively, the Transfer.waitForCompletion() method will unwrap the original exception from an ExecutionException and directly throw the original exception, just as if it'd all been happening on one thread. This might be a more convenient approach if you want to use a catch blocks to catch different types of errors cleanly and elegantly.
I disagree that the "catch Exception" block is "brutally broad". The point of that code is to catch any error that happens, mark the transfer as failed and rethrow the error so that the application code can know about it. If it were less broad, then that's exactly the case where exceptions could sneak through and transfer progress wouldn't be updated correctly and would be out of sync with reality.
Give those two methods and shot and let us know if that helps!
Well, I have debugged Amazon's SDK and I'm sorry to say that this information is being swallowed internally. Perhaps I will try to submit a patch.
Details: an AmazonS3Exception is being thrown internally which does in fact accurately report this exact error scenario, but a brutally broad try catch ( Exception e ) consumes it and washes away the specificity.
Here is the guilty try-catch:
https://github.com/aws/aws-sdk-java/blob/master/src/main/java/com/amazonaws/services/s3/transfer/internal/UploadMonitor.java#L145
Here is a screenshot showing that an AmazonS3Exception is correctly thrown with the right info...