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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,163 @@ | ||
| from bookRatingsUI import Ui_MainWindow | ||
| import sys | ||
| from PyQt4 import QtGui,QtCore | ||
| import os | ||
| import signal | ||
| import numpy as np | ||
| import pandas as pd | ||
| from scipy import optimize | ||
|
|
||
| num_movies = 1682 | ||
| num_users = 943 #updated by temp.data | ||
|
|
||
| class BookRatings(QtGui.QMainWindow): | ||
| def __init__(self, parent=None): | ||
| QtGui.QWidget.__init__(self,parent) | ||
| self.ui = Ui_MainWindow() | ||
| self.ui.setupUi(self) | ||
| self.initUI() | ||
|
|
||
| #to get newuser_id | ||
| c_cols = ['current_user'] | ||
| current_user_data = pd.read_csv('session.data', sep='\t', names=c_cols, encoding='latin-1') | ||
| name = current_user_data['current_user'][0] | ||
|
|
||
| p_cols = ['1user_id', '2Password', '3user_id'] #first user_id is user name, 3rd column is system generated | ||
| passwords_data = pd.read_csv('passwords.data', sep='\t', names=p_cols, encoding='latin-1') | ||
| for i in range(len(passwords_data)): | ||
| if( passwords_data['1user_id'][i] == name ): | ||
| self.newuser_id = passwords_data['3user_id'][i] | ||
| break | ||
|
|
||
| print "newuser_id=",self.newuser_id | ||
|
|
||
| self.ui.save_next_pushButton.clicked.connect(self.back) | ||
| self.connections() | ||
| self.books() | ||
| self.disp_reco() | ||
|
|
||
| def initUI(self): | ||
| self.setWindowTitle('Book Ratings') | ||
| self.center() | ||
| self.show() | ||
|
|
||
| def center(self): | ||
| frameGm = self.frameGeometry() | ||
| centerPoint = QtGui.QDesktopWidget().availableGeometry().center() | ||
| frameGm.moveCenter(centerPoint) | ||
| self.move(frameGm.topLeft()) | ||
|
|
||
| def back(self): | ||
| self.hide() | ||
| os.system('python rate_UI_run.py') | ||
|
|
||
| def connections(self): | ||
| self.connect(self.ui.horizontalSlider_1,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_2,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_3,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_4,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_5,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_6,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_7,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_8,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_9,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
| self.connect(self.ui.horizontalSlider_10,QtCore.SIGNAL("valueChanged(int)"),self.sliderVal) | ||
|
|
||
| def sliderVal(self): | ||
| self.ui.lineEdit_11.setText(str(self.ui.horizontalSlider_1.value())) | ||
| self.ui.lineEdit_12.setText(str(self.ui.horizontalSlider_2.value())) | ||
| self.ui.lineEdit_13.setText(str(self.ui.horizontalSlider_3.value())) | ||
| self.ui.lineEdit_14.setText(str(self.ui.horizontalSlider_4.value())) | ||
| self.ui.lineEdit_15.setText(str(self.ui.horizontalSlider_5.value())) | ||
| self.ui.lineEdit_16.setText(str(self.ui.horizontalSlider_6.value())) | ||
| self.ui.lineEdit_17.setText(str(self.ui.horizontalSlider_7.value())) | ||
| self.ui.lineEdit_18.setText(str(self.ui.horizontalSlider_8.value())) | ||
| self.ui.lineEdit_19.setText(str(self.ui.horizontalSlider_9.value())) | ||
| self.ui.lineEdit_20.setText(str(self.ui.horizontalSlider_10.value())) | ||
|
|
||
| def books(self): | ||
| print "asmita" | ||
| i_cols = ['1ID','2Book'] | ||
| items = pd.read_csv('ratebook.data', sep=';', names=i_cols, encoding='latin-1') | ||
|
|
||
| self.ui.lineEdit_1.setText(items['2Book'][0]) #16 | ||
| self.ui.lineEdit_2.setText(items['2Book'][1]) #39 | ||
| self.ui.lineEdit_3.setText(items['2Book'][2]) #253 | ||
| self.ui.lineEdit_4.setText(items['2Book'][3]) | ||
| self.ui.lineEdit_5.setText(items['2Book'][4]) #283 | ||
| self.ui.lineEdit_6.setText(items['2Book'][5]) #750 | ||
| self.ui.lineEdit_7.setText(items['2Book'][6]) | ||
| self.ui.lineEdit_8.setText(items['2Book'][7]) | ||
| self.ui.lineEdit_9.setText(items['2Book'][8]) #105711 | ||
| self.ui.lineEdit_10.setText(items['2Book'][9]) #107290 | ||
|
|
||
| def disp_reco(self): | ||
|
|
||
| pop_cols = ['book_id', 'book_title'] | ||
| items = pd.read_csv('book.data', sep=';', names=pop_cols, encoding='latin-1') | ||
| l = len(items) | ||
|
|
||
| ind1 = np.random.randint(0, 2) | ||
| ind2 = np.random.randint(2, 4) | ||
| ind3 = np.random.randint(4, 7) | ||
| ind4 = np.random.randint(7, 10) | ||
| ind5 = np.random.randint(10, 12) | ||
| ind6 = np.random.randint(12, 16) | ||
| ind7 = np.random.randint(16, 18) | ||
| ind8 = np.random.randint(18, 20) | ||
| ind9 = np.random.randint(10, 23) | ||
| ind10 = np.random.randint(23, 25) | ||
|
|
||
| #print items['movie title'][ind2] | ||
| d = { 'movie_title': [ items['book_title'][ind1] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind1] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind2] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind3] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind4] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind5] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind6] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind7] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind8] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind9] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| d= { 'movie_title': [ items['book_title'][ind10] ] } | ||
| df = pd.DataFrame(d) | ||
| df.to_csv('movie_reco.data',mode='a' ,sep='\t',index=False, header=False) | ||
|
|
||
| def main(): | ||
| app=QtGui.QApplication(sys.argv) | ||
| ui = BookRatings() | ||
| sys.exit(app.exec_()) | ||
|
|
||
|
|
||
| if __name__ == "__main__": | ||
| main() |