第一个小工具——数据查询统计
Posted guo126
tags:
篇首语：本文由小常识网(cha138.com)小编为大家整理，主要介绍了第一个小工具——数据查询统计相关的知识，希望对你有一定的参考价值。
from PyQt5 import QtCore, QtWidgets import sys import pymysql import dp_copy.rczy_sql as rczysql import dp_copy.wccyr_sql as wccyrsql class Ui_ANOVAWindow(object): def setupUi(self, ANOVAWindow): ANOVAWindow.setObjectName("ANOVAWindow") ANOVAWindow.resize(600, 400) self.label = QtWidgets.QLabel(ANOVAWindow) self.centralwidget = QtWidgets.QWidget(ANOVAWindow) self.centralwidget.setObjectName("centralwidget") self.label.setGeometry(QtCore.QRect(30, 40, 70, 30)) # 字体 self.label.setMinimumSize(QtCore.QSize(71, 31)) self.label.setObjectName("label") self.label_2 = QtWidgets.QLabel(self.centralwidget) self.label_2.setGeometry(QtCore.QRect(30, 80, 70, 30)) self.label_2.setMinimumSize(QtCore.QSize(71, 31)) self.label_2.setObjectName("label_2") self.label_3 = QtWidgets.QLabel(self.centralwidget) self.label_3.setGeometry(QtCore.QRect(300, 10, 70, 30)) self.label_3.setMinimumSize(QtCore.QSize(71, 31)) self.label_3.setObjectName("label_3") self.KeywordBox = QtWidgets.QLineEdit(self.centralwidget) self.KeywordBox.setGeometry(QtCore.QRect(130, 40, 120, 30)) # keyword框 self.KeywordBox.setObjectName("KeywordBox") self.KeywordBox1 = QtWidgets.QLineEdit(self.centralwidget) self.KeywordBox1.setGeometry(QtCore.QRect(130, 80, 120, 30)) # keyword框 self.KeywordBox1.setObjectName("KeywordBox1") self.result_KeywordBox = QtWidgets.QLineEdit(self.centralwidget) self.result_KeywordBox.setGeometry(QtCore.QRect(300, 40, 300, 200)) # keyword框 self.result_KeywordBox.setObjectName("KeywordBox2") self.DataCButton = QtWidgets.QPushButton(self.centralwidget) # 按钮 self.DataCButton.setGeometry(QtCore.QRect(130, 120, 121, 30)) self.DataCButton.setObjectName("DataCButton") ANOVAWindow.setCentralWidget(self.centralwidget) self.statusbar = QtWidgets.QStatusBar(ANOVAWindow) self.statusbar.setObjectName("statusbar") ANOVAWindow.setStatusBar(self.statusbar) self.retranslateUi(ANOVAWindow) QtCore.QMetaObject.connectSlotsByName(ANOVAWindow) def retranslateUi(self, ANOVAWindow): _translate = QtCore.QCoreApplication.translate ANOVAWindow.setWindowTitle(_translate("ANOVAWindow", "数据比对器")) # 标题名 self.label.setText(_translate("ANOVAWindow", "<html><head/><body><p><span style=" font-size:11pt;">项目名称</span></p></body></html>")) self.label_2.setText(_translate("ANOVAWindow", "<html><head/><body><p><span style=" font-size:11pt;">数据名称</span></p></body></html>")) self.label_3.setText(_translate("ANOVAWindow", "<html><head/><body><p><span style=" font-size:11pt;">查询结果</span></p></body></html>")) self.DataCButton.setText(_translate("ANOVAWindow", "查询")) def setupFunction(self): self.DataCButton.clicked.connect(self.get_sum) # self.get_sum() def get_sum(self): self.project_name = self.KeywordBox.text() # 获取第一个文本框中的内容存入adder1 self.data_name = self.KeywordBox1.text() # 获取第二个文本框中的内容存入adder2 print(self.project_name, self.data_name) if self.data_name: self.index(self.project_name, self.data_name) def index(self, project, name): print(project, name) if name not in wccyrsql.data_dict or name not in rczysql.data_dict: resp = ‘查询数据名错误‘ print(resp) self.result_KeywordBox.setText(resp) return resp else: if project == ‘wccyr‘: conn = pymysql.connect(host=‘172.17.33.195‘, port=3306, db=‘wccyr_test‘, user=‘wuchetest‘, password=‘wuchetest2019#‘, charset=‘utf8‘) dict = {name: rczysql.data_dict[name]} elif project == ‘rczy‘: conn = pymysql.connect(host=‘172.17.33.195‘, port=3306, db=‘rczy‘, user=‘etims‘, password=‘etims2018#‘, charset=‘utf8‘) dict = {name: wccyrsql.data_dict[name]} else: resp = ‘项目名错误‘ print(resp) self.result_KeywordBox.setText(resp) return resp cur = conn.cursor() sql = dict.get(name)[1] cur.execute(sql, dict.get(name)[0]) resp = cur.fetchall() print(resp) self.result_KeywordBox.setText(str(resp)) cur.close() return resp if __name__ == "__main__": app =QtWidgets.QApplication(sys.argv) # 创建一个QApplication，也就是你要开发的软件app ANOVAWindow = QtWidgets.QMainWindow() # 创建一个ANOVAWindow，用来装载你需要的各种组件、控件 ui = Ui_ANOVAWindow() ui.setupUi(ANOVAWindow) # 执行类中的setupUi方法，方法的参数是第二步中创建的QMainWindow ui.setupFunction() # 执行类中的setupFunction方法 ANOVAWindow.show() # 执行QMainWindow的show()方法，显示这个QMainWindow sys.exit(app.exec_()) # 使用exit()或者点击关闭按钮退出QApplication
import datetime current = datetime.datetime.strptime(datetime.datetime.now().strftime("%Y-%m-%d"), "%Y-%m-%d") before_year = current - datetime.timedelta(days=365) before_mouth = current - datetime.timedelta(days=30) current_time = current.strftime("%Y-%m-%d %H:%M:%S") before_year_time = before_year.strftime("%Y-%m-%d %H:%M:%S") before_mouth_time = before_mouth.strftime("%Y-%m-%d %H:%M:%S") org_seq = ‘/root/蓝物流/‘ ndljyf_sql = ‘‘‘SELECT count(*), sum(b.payment_fee) FROM `tms_transport` a left join tb_tms_transport_fee b on a.id = b.transport_id where a.org_seq like %s and a.fact_reach_date BETWEEN %s and %s and a.status in (3, 4, 5) and a.del_flag = 0;‘‘‘ ndljydl_sql = ‘‘‘SELECT count(*) FROM tms_transport where org_seq like %s and fact_reach_date BETWEEN %s and %s and status in (3, 4, 5) and del_flag = 0;‘‘‘ ndljyf_parmas = [org_seq, before_year_time, current_time] ndljydl_parmas = [org_seq, before_year_time, current_time] data_dict = { ‘ndljyf‘: [ndljyf_parmas, ndljyf_sql], ‘ndljydl‘: [ndljydl_parmas, ndljydl_sql] }
import datetime current = datetime.datetime.strptime(datetime.datetime.now().strftime("%Y-%m-%d"), "%Y-%m-%d") before_year = current - datetime.timedelta(days=365) before_mouth = current - datetime.timedelta(days=30) current_time = current.strftime("%Y-%m-%d %H:%M:%S") before_year_time = before_year.strftime("%Y-%m-%d %H:%M:%S") before_mouth_time = before_mouth.strftime("%Y-%m-%d %H:%M:%S") org_seq = ‘/root/蓝物流/%‘ ndljyf_sql = ‘‘‘SELECT count(*), sum(b.payment_fee) FROM `tms_transport` a left join tb_tms_transport_fee b on a.id = b.transport_id where a.org_seq like %s and a.sign_date BETWEEN %s and %s and a.status in (3, 4, 5) and a.del_flag = 0;‘‘‘ ndljydl_sql = ‘‘‘SELECT count(*) FROM tms_transport where org_seq like %s and fact_reach_date BETWEEN %s and %s and status in (3, 4, 5) and del_flag = 0;‘‘‘ ndljyf_parmas = [org_seq, before_year_time, current_time] ndljydl_parmas = [org_seq, before_year_time, current_time] data_dict = { ‘ndljyf‘: [ndljyf_parmas, ndljyf_sql], ‘ndljydl‘: [ndljydl_parmas, ndljydl_sql] }
以上是关于第一个小工具——数据查询统计的主要内容，如果未能解决你的问题，请参考以下文章
《安富莱嵌入式周报》第279期：强劲的代码片段搜索工具，卡内基梅隆大学安全可靠C编码标准，Nordic发布双频WiFi6 nRF7002芯片