bernardo/MARTe2-isttok
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Added MDS class

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Signed-off-by: Bernardo Carvalho <bernardo.carvalho@tecnico.ulisboa.pt>
This commit is contained in:
Bernardo Brotas de Carvalho
2025-05-20 17:35:15 +01:00
parent 1aa090e9d1
commit 0b46782216
3 changed files with 186 additions and 40 deletions
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31
Analysis/pyqtPlotMdsClient.py
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@@ -15,6 +15,8 @@ from mdsClient import mdsClient
from mdsthin.exceptions import TreeNNF
import argparse
from ClientMdsThin import ClientMdsThin as Mclient
app = pg.mkQApp("Plotting MARTe2 AtcaIop Data")
# mw = QtWidgets.QMainWindow()
# mw.resize(800,800)
@@ -57,6 +59,9 @@ parser.add_argument('-z', '--zero', action='store_true',
args = parser.parse_args()
mdsPulseNumber = args.shot
mclient = Mclient(shot=args.shot)
mclient.getData()
# mdsTreeName = 'rtappisttok'
mdsTreeName = 'isttokmarte'
@@ -82,25 +87,20 @@ 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
# driftW = np.zeros(ADC_CHANNELS)
if (args.averages):
Eoffset, Woffset = mclient.calcEoWo()
nChannels = len(mclient.adcRawData)
print(f"EO: {ADC_CHANNELS} ", end='')
for i in range(ADC_CHANNELS):
print(f"{meanD[i]:d} ", end='')
for i in range(nChannels):
print(f"{Eoffset[i]:d} ", end='')
print(" ")
print(f"WO: {ADC_CHANNELS} ", end='')
for i in range(ADC_CHANNELS):
print(f"{driftW[i]:0.3f} ", end='')
print(f"{Woffset[i]:0.3f} ", end='')
print(" ")
print(f"Samples {total_samples}, time {total_samples/2e3:.3f} ms")
# print(f"Samples {total_samples}, time {total_samples/2e3:.3f} ms")
for i in range(start, stop):
@@ -168,6 +168,13 @@ if __name__ == '__main__':
# vim: syntax=python ts=4 sw=4 sts=4 sr et
"""
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
def getMdsData(tree, node):
try:
mdsNode = tree.getNode(node)