def join_connection():
req_data = request.get_json()
conn_id = req_data['_id']
fileName = req_data['fileName']
userId = req_data['userId']
p = Prediction()
# fo = open(app.config['UPLOAD_FOLDER'] + "/" + "ad.enc",'rb').read()
# # Decrypts the data, requires a user-input password
# CSVplaintext = decrypt('USERPASSWORD', fo).decode('utf8')
# #create a temp csv-like file to pass to pandas.read_csv()
# DATA=StringIO(CSVplaintext)
# # Makes a panda dataframe with the data
# df = pd.read_excel(DATA)
# print df.head()
value = int(p.run(app.config['UPLOAD_FOLDER'] + "/Data/" + fileName))
#conn_id = '5bf8ab7c101c372f28c65c2b'
users = mongo.db.users
connections = mongo.db.connections
parser = connections.find({'_id': ObjectId(conn_id)})
for doc in parser:
connDoc = doc
currCount = connDoc['currRemainingCount']
if currCount > 0:
playerNum = connDoc['userCount'] - (currCount - 1)
print os.system('pwd')
command = 'python ./../viff-1.0/apps/sum.py --no-ssl player-' + str(
playerNum) + '.ini ' + str(value)
print command
print connections.update({'_id': ObjectId(conn_id)},
{'$inc': {
'currRemainingCount': -1
}})
#os.system(command)
proc = Popen(command,
shell=True,
stdin=None,
stdout=None,
stderr=None,
close_fds=True)
print "Status = " + str(proc)
status = 0
if status == 0:
#print output
value *= 100
users.insert({
'userId': str(userId),
'yourVal': value,
'AvgValue': 0
})
retVal = {}
retVal['sum'] = 'Will be updated soon!'
return jsonify(retVal), 200
else:
'Joining Failed', 404
else:
return 'Connection Full', 404
class MainWindow( QMainWindow ):
"""Class implementing GUI"""
def __init__( self ):
"""Constructor."""
super( QMainWindow, self ).__init__( )
self.setGeometry(10, 50, 300, 150)
self.setWindowTitle("Informative or NonInformative Tweets")
self.filename = ""
self.prediction = Prediction( "../models/text.h5", "../models/old_image/damage.h5" )
self.widget = QWidget ( )
self.widget.setObjectName("widget")
self.widget.setStyleSheet("QWidget#widget{border-image:url('../images/background.jpg');}\n")
self.layout = QGridLayout( self.widget )
self.image_label = QLabel( )
self.result_label = QLabel( )
self.image_label .setScaledContents( True )
self.result_label.setScaledContents( True )
self.browse = QPushButton( "Browse" )
self.text_field = QLineEdit ( )
self.submit = QPushButton( "Submit" )
self.layout.addWidget( self.image_label )
self.layout.addWidget( self.browse )
self.layout.addWidget( self.text_field )
self.layout.addWidget( self.submit )
self.layout.addWidget( self.result_label )
self.browse.clicked.connect( self.pick_file )
self.submit.clicked.connect( self.predict )
self.setCentralWidget( self.widget )
def pick_file( self ):
"""For selecting a file."""
self.filename = QFileDialog.getOpenFileName( )[ 0 ]
if self.filename != "":
pixmap = QPixmap ( self.filename )
self.image_label.setPixmap( pixmap )
def predict( self ):
if self.filename != "":
image = cv2.imread( self.filename )
text = self.text_field.text( )
im_class, txt_class = self.prediction.run( image, text )
if im_class == 0 and txt_class == 0:
self.result_label.setText( "<font color='red'>Informative</font>" )
else:
self.result_label.setText( "<font color='green'>Non-Informative</font>" )
