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main_function.py
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main_function.py
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# -*- coding: utf-8 -*-
"""
Module implementing MainWindow.
"""
import sys
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtWidgets import QMainWindow
from Ui_main import Ui_MainWindow
from network import Net
import numpy as np
import _thread as thread
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtGui import QIcon
def loadData(path):
f = open(path)
lines=''
for line in f.readlines():
line = line.strip('\n')
line += ','
if len(line) > 1:
lines += line
f.close()
date = []
value = []
cnt = 0
arr = lines.split(',')
#print (arr)
#print (arr)
for i in range(len(arr)):
if arr[i] == '':
continue
v = int(arr[i])
if i%2 == 0:
date.append(v)
else:
value.append(v)
cnt+= 1
return date,value,int(cnt/2)
def getDateLevels(labels):
cnt = len(labels)
arr = np.zeros((cnt, 64))
for i in range(cnt):
t = labels[i]
for j in range(64):
v = (t >> j) & 0x1
arr[i][j] = v
return arr
def getValueLevels(labels):
cnt = len(labels)
arr = np.zeros((cnt, 49))
for i in range(cnt):
idx = labels[i]
idx -= 1
arr[i][idx] = 1
return arr
def sort(A2):
size = len(A2)
#print(A2.shape)
#print(size)
t = list(range(49))
for i in range(size):
for j in range(49):
t[j] =(j + 1, A2[i][j])
t = sorted(t, key = lambda v: v[1], reverse = True)
#print (t)
#print('------------------------------------------------------------')
return t
class MainWindow(QMainWindow, Ui_MainWindow):
finsh_signal = pyqtSignal()
progress_signal = pyqtSignal(int, int)
"""
Class documentation goes here.
"""
def __init__(self, parent=None):
"""
Constructor
@param parent reference to the parent widget
@type QWidget
"""
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.setWindowIcon(QIcon('image.ico'))
#self.show()
self.net = Net()
bw1 = self.net.loadWeight('w1-save.csv')
bw2 = self.net.loadWeight('w2-save.csv')
lw1 = list(bw1)
lw2 = list(bw2)
weight1 = np.array(lw1)
weight2 = np.array(lw2)
self.weight1 = weight1.reshape(64,365)
self.weight2 = weight2.reshape(365,49)
self.horizontalSlider.setMinimum(0)
self.horizontalSlider.setMaximum(100)
self.horizontalSlider.setSingleStep(1)
self.horizontalSlider.valueChanged.connect(self.valuechange)
self.progressBarPercent.setValue(0)
self.progressBarAcc.setValue(0)
self.trainning = False
self.work = True
self.finsh_signal.connect(self.callFinish)
self.progress_signal.connect(self.callProgress)
def threadTrain(self, ls):
self.work = True
self.trainning = True
batch_size = 32
times =ls
lr = 0.1
ldate,lvalue,datacnt = loadData('data.csv')
datelevels = getDateLevels(ldate)
#print (datelevels)
valuelevels = getValueLevels(lvalue)
progress = 0
acc = 0
cnt = int (datacnt/batch_size)*batch_size
rem = datacnt % batch_size
for t in range (times):
for i in range(0,cnt,batch_size):
if self.work == False:
break
start = i
end = start + batch_size
dw1,dw2 = self.net.train(self.weight1,self.weight2,datelevels[start:end],valuelevels[start:end])
self.weight1 -= lr * dw1
self.weight2 -= lr * dw2
p,vs = self.net.inference(self.weight1,self.weight2,datelevels,lvalue)
cal = ( (t*datacnt + i + 1))/ (times * datacnt)
cal = int(cal * 100)
#print('{0}*{1}+{2}/({3} * {4})={5}'.format(t, datacnt, i, times, datacnt, cal))
if progress != cal:
progress = cal
#self.progressBarPercent.setValue(progress)
acc = int(p * 100)
#self.progressBarAcc.setValue(acc)
self.progress_signal.emit(progress, acc)
if rem >0:
if self.work == False:
break
start += batch_size
end = start + rem
#print('{0},{1}'.format(start, end))
dw1,dw2 = self.net.train(self.weight1,self.weight2,datelevels[start:end],valuelevels[start:end])
self.weight1 -= lr * dw1
self.weight2 -= lr * dw2
p,vs = self.net.inference(self.weight1,self.weight2,datelevels,lvalue)
cal = ( (t*datacnt + i + 1))/ (times * datacnt)
cal = int(cal * 100)
#print('{0}*{1}+{2}/({3} * {4})={5}'.format(t, datacnt, i, times, datacnt, cal))
if progress != cal:
progress = cal
#self.progressBarPercent.setValue(progress)
acc = int(p * 100)
#self.progressBarAcc.setValue(acc)
self.progress_signal.emit(progress, acc)
#self.progressBarPercent.setValue(100)
self.net.saveWeight(self.weight1,'w1-save.csv')
self.net.saveWeight(self.weight2,'w2-save.csv')
self.finsh_signal.emit()
#
self.trainning = False
def callFinish(self):
self.progressBarPercent.setValue(100)
self.textEditResult.setText('训练完成')
def callProgress(self, progress, acc):
self.progressBarAcc.setValue(acc)
self.progressBarPercent.setValue(progress)
@pyqtSlot()
def on_pushButtonTrain_clicked(self):
self.textEditResult.setText('开始训练')
if self.trainning == True:
self.textEditResult.setText('正在训练')
return
self.progressBarAcc.setValue(0)
self.progressBarPercent.setValue(0)
times = self.horizontalSlider.value()
#self.labelTime.setText(str(times))
print(times)
thread.start_new_thread( self.threadTrain, (times, ))
@pyqtSlot()
def on_pushButtonInference_clicked(self):
if self.trainning == True:
self.textEditResult.setText('正在训练')
return
date = self.calendarWidget.selectedDate()
t = str(date.toPyDate())
l = t.split('-')
sdate = str(l[0]) + str(l[1]) + str(l[2])
print (sdate)
ldata = [int(sdate)]
lvalue = [0]
datelevels = getDateLevels(ldata)
#valuelevels = getValueLevels(lvalue)
p,a2 = self.net.inference(self.weight1,self.weight2,datelevels,lvalue)
data = sort(a2)
s = ''
for i in range(49):
n, p = data[i]
s += str(n)
s += ','
self.textEditResult.setText(s)
@pyqtSlot()
def on_pushButtonAcc_clicked(self):
if self.trainning == True:
self.textEditResult.setText('正在训练')
return
ldate,lvalue,datacnt = loadData('data.csv')
datelevels = getDateLevels(ldate)
#print (datelevels)
p,vs = self.net.inference(self.weight1,self.weight2,datelevels,lvalue)
acc = int(p * 100)
self.progressBarAcc.setValue(acc)
self.progressBarPercent.setValue(100)
def valuechange(self):
times = self.horizontalSlider.value()
self.labelTime.setText(str(times))
@pyqtSlot()
def on_pushButtonStop_clicked(self):
self.work = False