Develop Reference

Python: push file to Android device pass but the file is empty

I have application that i am testing and i want to push file into my android device (real device)
This is what i have try:
self.driver.push_file('/mnt/sdcard/Pictures/photo.png', r'C:\photo.png')
So this operation is pass and i can see the file on my device but its size is 1kb and when i try to open it i have this message:
Its looks like we dont support this file format
What i am doing wrong ?

Pay attention that using Appium with the Python language, when you call the self.driver.push_file() method, the second parameter is the Contents of file in base64 (and not the path of the file on your machine).
That means that you first have to read the file, convert it to base64 (and decode it using utf-8) and only then pass it to this method:
import base64
...
with open(r'C:\photo.png','rb') as file:
driver.push_file('/mnt/sdcard/Pictures/photo.png',
base64.b64encode(file.read()).decode('utf-8'))
Alternatively, you can simply use the following command (adding just source_path= to your snippet):
self.driver.push_file('/mnt/sdcard/Pictures/photo.png', source_path=r'C:\photo.png')
..since the push_file() method was recently updated to support also source path (see Pull #270):
def push_file(self, destination_path, base64data=None, source_path=None)
I would recommend on the source_path parameter of course :)

Where is my file in Android application(Xamarin)?

I wrote a test Android app in Xamarin, where sample data was stored in a file. Somehow I copied test data file to emulator, successfully run the app and forgot about the project for couple of months.
Now I am resuscitating the project and - I can't find the file in Android Device Manager although it is still accessible in the emulator. It drives me nuts, I need to edit it!
Perhaps someone can point me to the right way to locate the file. Thanks!
Following is the code fragment that reads the file. I added debug output in the comments after each relevant line
var fileName = "NursePurse.jobjson1.txt";
var assembly = typeof(pageJobs).GetTypeInfo().Assembly;
//assembly.base.CodeBase = "file:///storage/emulated/0/Android/data/NursePurse.Droid/files/.__override__/NursePurse.dll"
String fname = assembly.FullName;
//fname = NursePurse, Version=1.0.6504.22050, Culture=neutral, PublicKeyToken=null
Stream stream = assembly.GetManifestResourceStream(fileName);
List<String> t = assembly.GetManifestResourceNames().ToList();
// there are two entries
// "NursePurse.AppResources.resources","NursePurse.jobjson1.txt"
// here is my file! But I don't see neither of these files in the android device manager.
Question - where is it?
Following is the screenshot of Android Dev.Manager View and Device definition with SIM card

Get Pretrained Inception v3 model from Open Images dataset working on Android

I tried a while to get the pretrained model working on android. The problem is, I only got the ckpt and meta file for the pretrained net. In my opinion I need the .pb for the android app. So I tried to convert the given files to an .pb file.
Therefore I tried the freeze_graph.py but without succes. So I used the example code from https://github.com/openimages/dataset/blob/master/tools/classify.py and modified it to store a pb. file after loading
if not os.path.exists(FLAGS.checkpoint):
tf.logging.fatal(
'Checkpoint %s does not exist. Have you download it? See tools/download_data.sh',
FLAGS.checkpoint)
g = tf.Graph()
with g.as_default():
input_image = tf.placeholder(tf.string)
processed_image = PreprocessImage(input_image)
with slim.arg_scope(inception.inception_v3_arg_scope()):
logits, end_points = inception.inception_v3(
processed_image, num_classes=FLAGS.num_classes, is_training=False)
predictions = end_points['multi_predictions'] = tf.nn.sigmoid(
logits, name='multi_predictions')
init_op = control_flow_ops.group(tf.global_variables_initializer(),
tf.global_variables_initializer(),
data_flow_ops.initialize_all_tables())
saver = tf_saver.Saver()
sess = tf.Session()
saver.restore(sess, FLAGS.checkpoint)
outpt_filename = 'output_graph.pb'
#output_graph_def = sess.graph.as_graph_def()
output_graph_def = graph_util.convert_variables_to_constants(sess, sess.graph.as_graph_def(), ["multi_predictions"])
with gfile.FastGFile(outpt_filename, 'wb') as f:
f.write(output_graph_def.SerializeToString())
Now my problem is that I have the .pb file but I don't have any opinion what is the input node name and I am not sure if multi_predictions is the right output name. In the example android app I have to specify both. And the android app crashed with:
tensorflow_inference_jni.cc:138 Could not create Tensorflow Graph: Invalid argument: No OpKernel was registered to support Op 'DecodeJpeg' with these attrs.
I don't know if there are more problem by trying to fix the .pb problem. Or if anyone knows a better way to port the ckpt and meta files to a .pd file in my case or knows a source for the final file with input and ouput names please give me a hint to complete this task.
Thanks

You'll need to use the optimize_for_inference.py script to strip out the unused nodes in your graph. "decodeJpeg" is not supported on Android -- pixel values should be fed in directly. ClassifierActivity.java has more detail about the specific nodes to use for inception v3.

How to access a MP3 resource with Javafx and the androidInstall output generated by using Gradle (in eclipse)?

I read and hope that I have followed the advice about the resource access, mentioned in How to access a resource in Java project using Gradle? .. but without success.
My configuration is not really the same (but I think that it does not matter):
In src/main/java: there is the package called "pack" in which there are all java files
In src/main/resources, there are all mp3 and wav files
And here is the part of Java code:
String musicFile = "deepSpaceInit.mp3";
URL resource = GluonApplication.class.getClassLoader()getResource(musicFile); // that works
// URL resource = GluonApplication.class.getResource(musicFile); // that works too with the same result
// resource is equal to jar:file/data/app/pack-2/base.apk!/deepSpaceInit.mp3
BUT, this next line does not work whereas the URL seems to be found (and correct):
Media soundMedia = new Media(resource.toExternalForm());
// Media soundMedia = new Media(resource.toString()); // it does not work too
The error (through adb) is:
" D/QMCX983D (374): Waiting for enable m or o sensor"
"QMC_IOCTL_GET_OPEN_STATUS failed"
"QMC_IOCTL_GET_DELAY failed"
"QMC_IOCTL_GET_YPR failed"
Have you an idea for solving this problem?
Note: GluonApplication is the "main" class for Gluon (i.e.the class in which there is the "start" input)
Note: Before getting this problem above, the javafx code worked fine in "pure" Java debug (application for PC platform), but it did not work when this application was ported for Android platform:
String musicFile = "deepSpaceInit.mp3";
Media sound = new Media(new File(repertoireMP3 + musicFile).toURI().toString()); // it does not work
with repertoireMP3 = "" or "/" or "./" or "src/main/resources" or "/src/main/resources" ... without success

How to serve dynamic pdf in Django on mobile device

Using pdftk I generate some dynamic temporary pdf files, which then Django serves to the user.
On a desktop, it works fine - the pdf file opens which then user can save, however on my android phone in all browsers (maybe the same on iOS but don't have and iOS device so can't test), the pdf does not download successfully. It starts the download but then always fails and I can't figure out why.
The following is a snippet of the view and the function which generates the pdf binary data:
def get_pdf():
fdf = {...}
t1 = tempfile.NamedTemporaryFile(delete=False)
t2 = tempfile.NamedTemporaryFile(delete=False)
t1.file.write(fdf)
# close temp files for pdftk to work properly
t1.close()
t2.close()
p = Popen('pdftk %s fill_form %s output %s flatten' %
('original.pdf', t1.name, t2.name), shell=True)
p.wait()
with open(t2.name, 'rb') as fid:
data = fid.read()
# delete t1 and t2 since they are temp files
# at this point the data is the binary of the pdf
return data
def get_pdf(request):
pdf = get_pdf()
response = HttpResponse(pdf, mimetype='application/pdf')
response['Content-Disposition'] = 'filename=foofile.pdf'
return response
Any ideas as to why this might be happening?

As per #Pascal comment, I added Content-Length and the downloads now work on mobile devices.
However it was not being downloaded with the filename I assign it in the view. Adding attachment fixes this but I don't want the attachment to be present for desktop browsers. Hence the following is my final solution which works.
# I am using the decorator from http://code.google.com/p/minidetector/
#detect_mobile
def event_pdf(request, event_id, variant_id):
pdf = get_pdf()
response = HttpResponse(pdf, mimetype='application/pdf')
response['Content-Disposition'] = '%sfilename=foofile.pdf' %
request.mobile and 'attachment; ' or ''
response['Content-Length'] = len(pdf)
return response