#!/usr/bin/env python3 """ This script plots the MARTe2 ATCAIop samples stored in MDSplus All of the plots may be panned/scaled by dragging with the left/right mouse buttons. Right click on any plot to show a context menu. To change EPICS EO, WO use. e.g. caput -a ISTTOK:central:ATCAIOP1-WO 14 0.191 0.174 -0.036 -0.044 0.183 0.126 0.020 0.140 -0.461 -0.572 0.022 -0.262 0.475 0.353 """ import numpy as np import pyqtgraph as pg from mdsClient import mdsClient from mdsthin.exceptions import TreeNNF import argparse app = pg.mkQApp("Plotting MARTe2 AtcaIop Data") # mw = QtWidgets.QMainWindow() # mw.resize(800,800) # MAX_SAMPLES = 50000 MDSPLUS_HOST = "192.168.1.173" ADC_CHANNELS = 14 # channels stored in ISTTOK MDS ADC_DECIM_RATE = 200 # FPGA decimation ADC_RAW = '\\TOP.HARDWARE.ATCA_2.IOP_9.CHANNEL_{}.ADC_DECIM' ADC_RAW_D = '\\TOP.HARDWARE.ATCA_2.IOP_9.CHANNEL_{}.ADC_DECIM_D' ADC_INTEG = '\\TOP.HARDWARE.ATCA_2.IOP_9.CHANNEL_{}.ADC_INTEG' SIG_INTEG = "\\TOP.DIAGNOSTICS.MAGNETICS.MIRNOV:PROBE{}.SIG" ADC_INTEG_D = '\\TOP.HARDWARE.ATCA_2.IOP_9.CHANNEL_{}.ADC_INTEG_D' parser = argparse.ArgumentParser( description="""Script to plot AtcaIop MDSplus data and calc drifts To change EPICS EO, WO use. e.g. caput -a ISTTOK:central:ATCAIOP1-WO 14 0.191 0.174 -0.036 -0.044 0.183 0.126 0.020 0.140 -0.461 -0.572 0.022 -0.262 0.475 0.353""") # parser.add_argument('-l','--list', nargs='+', # help=' Set flag', required=True) # parser.add_argument('-l','--list', nargs='+') parser.add_argument('-c', '--crange', nargs='+', type=int, help='Channel plots (1 12)', default=[1, 12]) parser.add_argument('-i', '--irange', nargs='+', type=int, default=[1, 12]) # arser.add_argument('pulse','-', nargs='+', help=' Set flag', required=True) parser.add_argument('-s', '--shot', type=int, help='Mds+ pulse Number ([1, ...])', default=100) parser.add_argument('-m', '--maxpoints', type=int, help='Max points to plot', default=50000) parser.add_argument('-a', '--averages', action='store_true', help='calc Averages') parser.add_argument('-d', '--decimated', action='store_true', help='Use decimated data') # parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts') parser.add_argument('-z', '--zero', action='store_true', help='Zero integral Lines') args = parser.parse_args() mdsPulseNumber = args.shot # mdsTreeName = 'rtappisttok' mdsTreeName = 'isttokmarte' client = mdsClient(MDSPLUS_HOST, user='oper') client.openTree(mdsTreeName, args.shot) win = pg.GraphicsLayoutWidget(show=True, title="Basic plotting examples") win.resize(1000, 600) win.setWindowTitle('pyqtgraph example: Plotting') # Enable antialiasing for prettier plots pg.setConfigOptions(antialias=True) p1 = win.addPlot(title="ATCA-IOP ADC raw data") p1.setDownsampling(ds=200, auto=False) p1.showGrid(x=True, y=True) # , alpha=0.5) # add plt.addLegend() BEFORE you create the curves. # mdsNode = tree.getNode("ATCAIOP1.ADC0RAW") # dataAdc = mdsNode.getData().data() # timeData = mdsNode.getDimensionAt(0).data() p1.addLegend() start = args.crange[0] - 1 stop = args.crange[1] # for i in range(args.crange[0], args.crange[1]): meanD = np.zeros(ADC_CHANNELS, dtype=int) driftW = np.zeros(ADC_CHANNELS) total_samples = 0 for i in range(ADC_CHANNELS): dataAdc = client.getData(ADC_RAW.format(i)) meanD[i] = np.mean(dataAdc[:, 0]).astype(int) dataAdcInt = client.getData(ADC_INTEG.format(i)) total_samples = ADC_DECIM_RATE * len(dataAdcInt[:, 0]) driftW[i] = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) / total_samples if (args.averages): print(f"EO: {ADC_CHANNELS} ", end='') for i in range(ADC_CHANNELS): print(f"{meanD[i]:d} ", end='') print(" ") print(f"WO: {ADC_CHANNELS} ", end='') for i in range(ADC_CHANNELS): print(f"{driftW[i]:0.3f} ", end='') print(" ") print(f"Samples {total_samples}, time {total_samples/2e3:.3f} ms") for i in range(start, stop): # mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW") dataAdc = client.getData(ADC_RAW.format(i)) # dataAdc = mdsNode.getData().data() # timeData = mdsNode.getDimensionAt(0).data() timeData = client.getTime(ADC_RAW.format(i)) y = dataAdc[:args.maxpoints, 0] x = ADC_DECIM_RATE * np.arange(len(y)) / 2.0e6 p1.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}") # p1.setLabel('bottom', "Y Axis", units='s') win.nextRow() p2 = win.addPlot(title="Channel Integrals") # p2.setDownsampling(ds=200, auto=False) p2.showGrid(x=True, y=True) # , alpha=0.5) p2.addLegend() start = args.irange[0] - 1 stop = args.irange[1] # print("WO: ", end='') # dataIntAll = [] for i in range(start, stop): # mdsNode = tree.getNode(f"ATCAIOP1.ADC8INT") if args.decimated: node = ADC_INTEG_D.format(i) else: # node = f"ATCAIOP1.ADC{i}INT" node = SIG_INTEG.format(i + 1) # mdsNode = tree.getNode(node) try: dataAdcInt = client.getData(node) # dataIntAll.append(dataAdcInt[:, 0]) timeData = client.getTime(node) total_samples = len(dataAdcInt[:, 0]) y = dataAdcInt[:args.maxpoints, 0] # / 2.0e6 # LSB * sec x = np.arange(len(y)) / 2.0e6 # in sec # if args.decimated: total_samples *= ADC_DECIM_RATE x *= ADC_DECIM_RATE if (args.zero): y = y - dataAdcInt[0, 0] # / 2.0e6 # LSB * sec # print(f"{wo:0.4f} ", end='') p2.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}") except Exception: print(f"No data for {node}") print(" ") p2.setLabel('bottom', "Time", units='s') p2.setLabel('left', "Integ", units='lsb.s') p2.setDownsampling(ds=200, auto=False) # p2.setXRange(0, 2, padding=0) # p2.setYRange(-4, 4) # updatePlot() if __name__ == '__main__': # import sys # if sys.flags.interactive != 1 or not hasattr(QtCore, 'PYQT_VERSION'): # pg.QtGui.QApplication.exec_() # iprint("xwc") pg.exec() # vim: syntax=python ts=4 sw=4 sts=4 sr et """ def getMdsData(tree, node): try: mdsNode = tree.getNode(node) data = mdsNode.getData().data() # except Exception: except mds.mdsExceptions.TreeNODATA: print(f'Failed getMdsData for note {node:s}') exit() return data try: tree = mds.Tree(mdsTreeName, mdsPulseNumber) # except Exception: except mds.mdsExceptions.TreeFOPENR: print(f'Failed opening {mdsTreeName} for pulse number {mdsPulseNumber:d}') exit() """