python/PyUartAssistant/UartDataPolt.py

# -*- coding: utf-8 -*-
"""
Created on Tue May 28 15:40:48 2024

@author: WANGXIBAO
"""
# -*- coding: utf-8 -*-



import time,math,os
import re,csv,datetime

import sys
from PyQt5.QtCore import QThread, pyqtSignal,Qt
from PyQt5.QtWidgets import QMessageBox 
from PyQt5.QtChart import QChart, QValueAxis, QSplineSeries,QLineSeries
from PyQt5.QtGui import QPen


# 波形显示
class QChartViewPlot(QChart):
    
    # 相位振动波形
    def __init__(self, parent=None):
        super(QChartViewPlot, self).__init__(parent)
        self.window = parent
        self.xRange = 60
        self.counter = 0
        self.seriesList = []
        self.legend().show()

        self.axisX = QValueAxis()
        self.axisX.setRange(0, self.xRange)
        self.addAxis(self.axisX, Qt.AlignBottom)
        # self.setAxisX(self.axisX, series)
        # 增加X轴网格设置
        self.axisX.setTickCount(13)     
        grid_pen_x = QPen(Qt.black, 0.5, Qt.DotLine)  # 设置网格线的颜色、宽度和样式
        self.axisX.setGridLinePen(grid_pen_x)
        
        self.y_min = 0
        self.y_max = 100
        self.axisY = QValueAxis()
        self.axisY.setRange(self.y_min, self.y_max)
        self.addAxis(self.axisY, Qt.AlignLeft)
        # self.setAxisY(self.axisY, series)
        # 增加Y轴网格设置
        self.axisY.setTickCount(11)      
        grid_pen_y = QPen(Qt.black, 0.5, Qt.DotLine)  # 设置网格线的颜色、宽度和样式
        self.axisY.setGridLinePen(grid_pen_y)

        #self.series = QSplineSeries()
        self.series = QLineSeries()
        self.series.setName("波形")
        self.series.setUseOpenGL(True)
        self.addSeries(self.series)
        

        self.series.attachAxis(self.axisX)
        self.series.attachAxis(self.axisY)
        
        self.curretValue = 0
        self.windowAverage =0
        self.windowStd = 0

    def handle_update(self, ydata):
        # 更新y值
        if self.counter < self.xRange:
            self.series.append(self.counter, ydata)
            self.counter += 1
            points = self.series.pointsVector()
            self.y_min = min(points, key=lambda point: point.y()).y()
            self.y_max = max(points, key=lambda point: point.y()).y()
            
            
            
        else:
            points = self.series.pointsVector()
            for i in range(self.xRange - 1):
                points[i].setY(points[i + 1].y())
            points[-1].setY(ydata)
            self.y_min = min(points, key=lambda point: point.y()).y()
            self.y_max = max(points, key=lambda point: point.y()).y()
            self.series.replace(points)
            
        # 计算总和
        total_sum = sum(point.y() for point in points)
        # 计算点的数量
        num_points = len(points)
        # 计算均值，确保除数不为零
        self.windowAverage = total_sum / num_points if num_points > 0 else 0
        print("windowMean:",self.windowAverage)    
        
        # 计算每个点与均值的差的平方，然后求和
        variance_sum = sum((point.y() - self.windowAverage) ** 2 for point in points)
                # 计算方差，除以数据点的总数
        variance = variance_sum / len(points)        
        self.axisY.setRange(math.floor(self.y_min-0.1),math.ceil( self.y_max+0.1))
    # 计算标准差，即方差的平方根
        self.windowStd = variance ** 0.5
        print("standard_deviation", self.windowStd)
        
    def clearSeries(self):
                self.series.clear()
                self.counter = 0
# 使用线程不断更新波形数据

class UpdateDataThread(QThread):
    _signal_update = pyqtSignal(float)  # 信号

    def __init__(self, parent=None):
        super(UpdateDataThread, self).__init__(parent)
        self.is_exit = False
        self.x_range = 1024
        self.getDateQx = GetDataQX()
        self.flag = 0
        
        

    def run(self):
        print("run start")
        while not self.is_exit:  # 直接在循环中检查退出标志
            # for i in range(self.x_range):
            #     print(i,self.sin.get_data(i))
                
            #     self._signal_update.emit(str(self.sin.get_data(i)))  # 发射信号
            #     time.sleep(0.01)  # 实际应用中推荐使用QTimer代替
            
            # 这里应该有一个 flag  默认是 0 外部调用可以传紧来1，没循环完自己置零，while 只起到监控左右
            
            if self.flag == 1:
                #print("flag",self.flag)
                
                #data = self.setReceiveData
                #print("发数",datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f"))
                #print("data receive ",data)
               # print(f"{data:.3f}")
                try:

                    self._signal_update.emit(self.setReceiveData)
                    self.flag = 0

                    
                except Exception:
                    QMessageBox.critical(self, '数据异常', '数据格式不对，不能绘图')
                    pass
                
                
                
            
    def SetReceiveData(self,data_in):
        self.setReceiveData =  data_in
        
    def SetFlag(self,flag):
        self.flag = flag
        
    def SetFilenameCsv(self,filename):
        self.filenameCsv = filename
        
    def SetPlotItem(self,ind): #设置显示项目
        self.ind = ind
    
    def stop(self):
        self.is_exit = True  # 设置退出标志
        print("停止绘图")
    def restart(self):
        self.is_exit = False




class GetDataQX(): #读取请芯数据
    def __init__(self, parent=None):
        super().__init__()
        self.regex = re.compile(r'(A\+|B\+|\s)+')  # 编译正则表达式
        self.TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
    def Transdata(self,data):
        parts = re.split(self.regex,data)
        # 过滤掉空字符串
        parts = [part for part in parts if part]
        #print(parts)
        methane = float(parts[1])
        airTemp = float(parts[3])
        laserTemp = float( parts[5])/1
        laerIntensity = float(parts[7])*10
        timeCrvt=time.strftime(self.TIME_FORMAT, time.localtime())
        self.data2csv =[(timeCrvt,methane,airTemp,laserTemp,laerIntensity)]
        #print(self.data2csv)
        
        if self.indOfReturn == 0:
            returnData = methane
        elif self.indOfReturn == 1:
            returnData = airTemp
        elif self.indOfReturn == 2:    
            returnData = laserTemp
        elif self.indOfReturn == 3:
            returnData = laerIntensity
        print(returnData)
        return  returnData
            
    def SaveCsv(self,filenameCsv):
        # 打开一个文件用于写入，如果文件不存在则创建
        if os.path.isfile(filenameCsv) == 0:
    # 文件为空，需要写入表头
            with open(filenameCsv, mode='w', newline='') as file:
                writer = csv.writer(file)
                writer.writerow(('time', 'Methane', 'Air Temp', 'Laser Temp', 'Laser Intensity'))
        else:
            with open(filenameCsv, mode='a', newline='') as file:
            # 创建一个写入器对象
                writer = csv.writer(file)
                # 写入数据行
                writer.writerows(self.data2csv)
    
    def IndOfReturn(self,ind):
        self.indOfReturn = ind