Files
MARTe2-isttok/Analysis/ClientMdsThin.py
2025-07-17 13:10:54 +01:00

174 lines
6.1 KiB
Python

#!/usr/bin/env python3
"""
This script get data from the MARTe2 ATCAIop stored in MDSplus
"""
import numpy as np
import mdsthin
from mdsthin.exceptions import TreeNNF, TreeFOPENR
import argparse
ADC_CHANNELS = 16 # channels stored in ISTTOK MDSplus trees
ADC_DECIM_RATE = 200 # FPGA decimation
ADC_BIT_LSHIFT = 2**14
MDSTREENAME = 'isttokmarte'
MDSPLUS_HOST = "192.168.1.173"
MDS_URL = "oper@atca-marte2"
# ADC_CHANNELS = 12 # channels stored in ISTTOK MDS
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"
class ClientMdsThin():
"""
Models an MDS Thin Client connection to ISTTOK ATCA2 server
"""
def __init__(self, num_channels=ADC_CHANNELS, url=MDS_URL):
"""
Initializes the connection to the High-Precision-AD-HAT
"""
try:
self.client = mdsthin.Connection('ssh://' + url)
except TreeFOPENR:
print(f"Tree {MDSTREENAME} / Shot {shot} Not found")
raise ValueError
self.num_channels = num_channels
self.adcRawData = []
self.choppTrigg = []
self.adcIntegData = []
def getTreeData(self, shot=52740):
try:
self.client.openTree(MDSTREENAME, shot)
except TreeFOPENR:
print(f"Tree {MDSTREENAME} / Shot {shot} Not found")
raise ValueError
self.adcRawData = []
self.adcIntegData = []
node0 = ADC_RAW.format(0)
dim = "dim_of({})".format(node0)
self.timeR = self.client.get(dim).data()
node0 = ADC_INTEG.format(0)
dim = "dim_of({})".format(node0)
self.timeI = self.client.get(dim).data()
for i in range(self.num_channels):
data = self.client.get(ADC_RAW.format(i)).data()
adc_raw = data[:, 0].astype(int)
adc_raw = adc_raw // ADC_BIT_LSHIFT
self.adcRawData.append(adc_raw)
data = self.client.get(ADC_INTEG.format(i)).data()
self.adcIntegData.append(data[:, 0])
data = self.client.get(ADC_RAW.format(15)).data()
adc_bits = data[:, 0].astype(int)
adc_bits &= 0x3
ch_trg = np.zeros(adc_bits.shape, dtype='int')
ch_trg[adc_bits == 1] = 2 # trigger bits
ch_trg[adc_bits == 2] = 1
ch_trg[adc_bits == 3] = 3
# breakpoint()
"""
for i, a in enumerate(adc_bits):
if a == 1:
print(f"found Trigger in {i}")
elif a == 3:
print(f"found Trigger in {i}")
"""
self.choppTrigg = ch_trg
def calcEoWo(self):
if not self.adcRawData:
raise ValueError
totalSamples = ADC_DECIM_RATE * len(self.adcRawData[0])
print(f"Samples {totalSamples:d}, time {totalSamples/2e3:.3f} ms")
Eoffset = np.zeros(ADC_CHANNELS, dtype=int)
Woffset = np.zeros(ADC_CHANNELS)
for i in range(self.num_channels):
Eoffset[i] = np.mean(self.adcRawData[i]).astype(int)
intData = self.adcIntegData[i]
Woffset[i] = (intData[-1] - intData[0]) / totalSamples
return Eoffset, Woffset
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Script to get data from remote MDS server')
# parser.add_argument('-l','--list', nargs='+', help='<Required> 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])
parser.add_argument('-s', '--shot',
type=int, help='Mds+ pulse Number ([1, ...])',
default=52740)
# parser.add_argument('-e', '--averages', action='store_true', help='Calc averages')
# parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts')
parser.add_argument('-u', '--url', default=MDS_URL,
help='MDSplus host url')
args = parser.parse_args()
clt = ClientMdsThin(url=args.url, shot=args.shot, num_channels=12)
clt.getTreeData()
# main(args)
# vim: set syntax=python ts=4 sw=4 sts=4 sr et
"""
def main(args):
mdsPulseNumber = args.shot
try:
if (mdsPulseNumber > 0):
tree = Tree(MDSTREENAME, mdsPulseNumber)
else:
tree = Tree(MDSTREENAME)
mdsPulseNumber = tree.getCurrent()
tree.close()
tree = Tree(MDSTREENAME, mdsPulseNumber)
except Exception:
print(f'Failed opening {MDSTREENAME} for pulse number ' +
f'{mdsPulseNumber:d}')
exit()
print(f'Opening {MDSTREENAME} for pulse number {mdsPulseNumber:d}')
# add plt.addLegend() BEFORE you create the curves.
# mdsNode = tree.getNode("ATCAIOP1.ADC0RAW")
# dataAdc = mdsNode.getData().data()
# timeData = mdsNode.getDimensionAt(0).data()
# start = args.crange[0] - 1
# top = 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):
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
dataAdc = mdsNode.getData().data()
meanD[i] = np.mean(dataAdc[:, 0]).astype(int)
mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT")
dataAdcInt = mdsNode.getData().data()
total_samples = 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:.2f} ms")
"""