How to use pyqt5 to make a sensitive word detection tool

How to use PyQT5 Make a sensitive word detection tool

Xiaobian will share with you how to use PyQT5 Make a sensitive word detection tool , I hope you will gain something after reading this article , Let's discuss it together ！

Design thinking ： Filter according to sensitive thesaurus files , Check whether the entered text contains sensitive words . So as to filter out relevant sensitive words .

Import application related modules .

import os
import logging
import sys

Import UI Interface related modules .

from PyQt5.QtWidgets import QApplication,QWidget,QVBoxLayout,QTextEdit,QGridLayout,QLineEdit,QPushButton,QFileDialog
from PyQt5.QtGui import QIcon

import resource

This one's inside resource modular , It's using python Generated .py Resource files in the form of . Importing this file directly into the module can prevent the problem that the resource file cannot be packaged when packaging . Show me some of the resource.py Code block of the file .

from PyQt5 import QtCore

qt_resource_data = b"\
\x00\x00\x2b\x03\
\x00\
\x01\x6a\xb6\x78\x9c\xed\x5d\x0b\x40\x54\xc5\xfa\x1f\x5c\x95\xf5\
\x11\x58\xdd\xb2\x52\xc1\x7c\x84\xa9\xa9\xa5\x29\xec\x6a\x58\x9a\
\xf6\xbc\x69\xb7\x6b\x5d\x2b\xb1\xb2\xb4\x7c\x01\x65\xa1\xc0\xee\
\xaa\x25\x18\xa4\x66\x6a\xf6\x34\x7a\x78\xcd\x5b\xa6\x66\xb9\x66\
\x25\xff\x44\x01\x33\x5f\xf8\xcc\x47\xf8\x7e\xc1\xee\x22\xa0\x28\
\xb0\xf3\xff\xcd\x39\x67\xe1\xec\x39\x67\x97\x05\x76\x17\xb0\xf3\
\xd3\x8f\xd9\x39\x67\xce\xcc\x37\xdf\x37\xdf\xbc\xce\x9c\x19\x42\
\x02\x48\x73\xd2\xab\x57\x2b\xb8\x8d\xc9\xb8\xa6\x84\x2c\x25\x84\
\xb4\x6f\xcf\xfb\xcf\x34\x22\x24\x28\x90\x90\x56\xad\x78\x7f\x97\

Next is UI Part of the interface , This time directly use UI The slot function of the main thread of the interface is used to complete the processing of business logic , No separate QThread Sub threads of .

    def init_ui(self):
        ''' Initialize log manager '''
        self.logger = logging.getLogger(" Sensitive word detection tool ")
        self.logger.setLevel(logging.DEBUG)

        self.setFixedWidth(600)
        self.setWindowIcon(QIcon(':sens.ico'))
        self.setWindowTitle(' Sensitive word detection gadget     official account ：[Python  concentration camp ]')

        vbox = QVBoxLayout()

        self.text_ = QTextEdit()
        self.text_.setPlaceholderText(' Please enter the text information to be detected ...')
        self.text_.setMaximumHeight(120)

        self.text_lis = QTextEdit()
        self.text_lis.setPlaceholderText(' The sensitive word information in the text ...')
        self.text_lis.setReadOnly(True)
        self.text_lis.setMaximumHeight(60)

        grid = QGridLayout()
        self.dir_sens = QLineEdit()
        self.dir_sens.setPlaceholderText(' Sensitive thesaurus path ')
        self.dir_sens.setReadOnly(True)

        self.dir_btn = QPushButton()
        self.dir_btn.setText(' Get sensitive Thesaurus ')
        self.dir_btn.clicked.connect(self.dir_btn_click)

        grid.addWidget(self.dir_sens, 0, 0, 1, 2)
        grid.addWidget(self.dir_btn, 0, 2, 1, 1)

        self.lis_btn = QPushButton()
        self.lis_btn.setText(' Start detection ')
        self.lis_btn.clicked.connect(self.search_sens)

        vbox.addWidget(self.text_)
        vbox.addWidget(self.text_lis)
        vbox.addLayout(grid)
        vbox.addWidget(self.lis_btn)

        self.setLayout(vbox)

The rest are the four slot function parts , The main implementation is to load all sensitive words in the sensitive word file . Finally, compare the sensitive words with the input file .

    def dir_btn_click(self):
        '''
         Select the folder 
        :return: 
        '''
        directory = QFileDialog.getExistingDirectory(self, " Select a folder ", self.cwd)
        self.dir_sens.setText(directory + '/')

    def get_sens_files(self):
        '''
         Get sensitive word file 
        :return: 
        '''
        file_paths = []
        self.logger.info(" Start batch file path processing ")
        list = os.listdir(self.dir_sens.text())
        for i in range(0, len(list)):
            path = os.path.join(self.dir_sens.text(), list[i])
            if os.path.isfile(path):
                file_paths.append(path)
        self.logger.info(" Complete batch file path processing ")
        return file_paths

    def load_sens(self):
        '''
         Load sensitive words 
        :return: 
        '''
        paths = self.get_sens_files()
        sens = []
        self.logger.info(" Start loading sensitive words ")
        for path in paths:
            self.logger.info(" The currently loaded file path is ：" + path)
            with open(path, "rb") as file:
                data = file.readlines()
                datac = []
                for string in data:
                    try:
                        datac.append(string.decode('utf8').replace('\n', '').replace('\r', ''))
                    except:
                        self.logger.error(" file ：[" + path + "] Decoding exception ")
                sens = sens + datac
            sens = sens + datac
        self.logger.info(" Finish loading sensitive words ")
        return sens

    def search_sens(self):
        '''
         Search for sensitive words 
        :return: 
        '''
        text_lis = ""
        sens = self.load_sens()
        text = self.text_.toPlainText()
        for se in sens:
            if se in text and se not in text_lis:
                text_lis = text_lis + se
        self.logger.info(" Contains sensitive words ：" + text_lis)
        self.text_lis.setText(text_lis)

Last , Use it directly main() Function to start the entire application .

if __name__ == '__main__':
    app = QApplication(sys.argv)
    main = SensListen()
    main.show()
    sys.exit(app.exec_())

The above is the complete implementation process , Small partners who need to copy all the code directly into their own development tools to start main() Function is OK ！

Input sensitive words and detect them directly on the interface , The detected sensitive words will be displayed in the following text box .

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