calc.py

from time import sleep, time
import pandas as pd
import concurrent.futures, requests, queue, sys
from threading import Thread
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QIcon, QFont, QKeySequence, QPalette, QBrush, QColor, QPixmap, QMovie, QPainter
from PyQt5.QtCore import Qt, QSize, QRect, QThread, pyqtSignal, QTimer

class MovieSplashScreen(QSplashScreen):

    def __init__(self, movie, parent = None):

        movie.jumpToFrame(0)
        pixmap = QPixmap(movie.frameRect().size())

        QSplashScreen.__init__(self, pixmap)
        self.movie = movie
        self.movie.frameChanged.connect(self.repaint)

    def showEvent(self, event):
        self.movie.start()

    def hideEvent(self, event):
        self.movie.stop()

    def paintEvent(self, event):

        painter = QPainter(self)
        pixmap = self.movie.currentPixmap()
        self.setMask(pixmap.mask())
        painter.drawPixmap(0, 0, pixmap)

    def sizeHint(self):

        return self.movie.scaledSize()

def splashScreen(zeit = 0):
        print('===splashScreen(self)====')


        dapp = QApplication(['a', 's'])

        # Create and display the splash screen
        movie = QMovie("img\\fuchs.gif")
        if zeit <= 2:
            gerundet = 50
        elif zeit > 2:
            gerundet = zeit * 60
        print("gerundet = ", gerundet)

        splash = MovieSplashScreen(movie)
        width = splash.frameGeometry().width()
        height = splash.frameGeometry().height()
        x = splash.pos().x()
        y = splash.pos().y()

        print('splash x,y: ',width, height, x, y)
        splash.setWindowFlags(Qt.WindowStaysOnTopHint | Qt.FramelessWindowHint)
        splash.setEnabled(False)

        # adding progress bar
        palette = QPalette()
        palette.setColor(QPalette.Highlight, Qt.green)
        progressBar = QProgressBar()
        progressBar.setMaximum(gerundet)
        progressBar.setGeometry(x, y-30, width, 20)
        progressBar.setPalette(palette)
        progressBar.setWindowFlags(Qt.SplashScreen | Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint)

        gerundet = gerundet + 1
        #splash.setMask(splash_pix.mask())
        progressBar.show()
        splash.show()
        splash.showMessage("<h1><font color='red'></font></h1>", Qt.AlignTop | Qt.AlignCenter, Qt.black)

        for i in range(1, gerundet):
            progressBar.setValue(i)
            t = time()
            while time() < t + 0.1:
                dapp.processEvents()

        progressBar.hide()
        window = QWidget()
        splash.finish(window)
        dapp.deleteLater() # here are troubles maybe in cause of main.py with the GUI has a app = QAplllication(sys.argv) too?


def getSignals(selectedCoins, selectedCoinsText):
    print("=====getFilteredSignals====")
    dfFilter = []
    noResults = []
    print("selectedCoins: ", selectedCoins)
    zeit = len(selectedCoins)

# Problems here?
    t = Thread(target=splashScreen, args=(zeit,))
    t.start()

    for i in range(len(selectedCoins)):
        print("i: "+str(i)+" ", selectedCoins[i])
        if i >= 1:
            sleep(6)
        result = makeSignals(selectedCoins[i])
        print("results.empty: ", result.empty)
        if result.empty == False:
            result = result.set_index('Pair', inplace=False)
            dfFilter.append(result)
        else:
            print("selectedCoinsText"+str(i)+": ", selectedCoinsText[i])
            noResults.append(selectedCoinsText[i])


    print("\nlen(dfFilter): ", len(dfFilter))
    if len(dfFilter) == 0:
        print("\n\n====in if len(dfFilter) == 0: \n dfFilter: ", dfFilter)
        # Creating an empty Dataframe with column names only
        dfempty = pd.DataFrame(columns=['User_ID', 'UserName', 'Action'])
        print("Empty Dataframe ", dfempty,'\n dfempty.empty: ', dfempty.empty)
        return dfempty
    elif len(dfFilter) > 0:
        for i in range(len(dfFilter)):
            print("\n\n====in for loop=== \n dfFilter ["+str(i)+"]: \n", dfFilter[i])

        filteredResults = pd.concat(dfFilter, axis=0, sort=False)
        #filteredResults['Gain (%)'] = pd.to_numeric(filteredResults['Gain (%)'], errors='coerce')
        filteredResults = filteredResults.sort_values(by='Gain (%)', ascending=False, inplace=False)
        filteredResults = filteredResults.reset_index(inplace=False)
        print('\nfilteredResults: \n', filteredResults, "\n", filteredResults.dtypes)

        return filteredResults