def manageContinuousUpdate(self, x):
if x.getShape().size == 1:
new_max_x = x.data()[-1]
else:
new_max_x = x.data()[0][-1]
curr_max_x = float(self.args['curr_max_x' + x_idx_s][-1])
displayed_width = float(self.args['displayed_width'][-1])
default_num_samples = float(self.args['default_num_samples'][-1])
num_samples = int(
(new_max_x - curr_max_x) * default_num_samples / displayed_width)
if new_max_x > curr_max_x and num_samples > 1:
if issubclass(x.dtype.type, integer):
min_req_x = floor(curr_max_x + 1)
else:
min_req_x = curr_max_x + finfo(new_max_x).eps
update_function = 'MdsMisc->GetXYWave:DSC'
infinity = sys.float_info.max
if x.__class__.__name__ == 'Uint64Array' or x.__class__.__name__ == 'Int64Array':
update_function = 'MdsMisc->GetXYWaveLongTimes:DSC'
min_req_x = str(int(min_req_x)) + 'QU'
infinity = str((1 << 63) - 1) + 'QU'
sig = Data.execute(
update_function + '(\'' +
expr.replace('\\', '\\\\').replace('\'', '\\\'') + '\',' +
str(min_req_x) + ',' + str(infinity) + ',' + str(num_samples) +
')')
return makeData(sig.dim_of().data()), makeData(sig.data())
else:
return Float64Array([]), Float64Array([])
def store(self):
self.restoreInfo()
vmeAddress = 0
# Stop device
status = CAENDT5720.caenLib.CAENVME_WriteCycle(
self.handle, c_int(vmeAddress + 0x8100), byref(c_int(0)),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error stopping device')
raise mdsExceptions.TclFAILED_ESSENTIAL
#need to wait a while
sleep(0.1)
acqMode = self.acq_mode.data()
if acqMode == 'CONTINUOUS' or acqMode == 'CONTINUOUS WITH COUNTER':
self.stop_store(0)
return
try:
clock = self.clock_source.evaluate()
dt = clock.getDelta().data()
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error evaluating clock source')
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
trig = self.trig_source.data()
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error evaluating trigger source')
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
startIdx = self.start_idx.data()
endIdx = self.end_idx.data()
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error evaluating start or end idx')
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
pts = self.pts.data()
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error evaluating Post Trigger Samples')
raise mdsExceptions.TclFAILED_ESSENTIAL
# Read number of buffers
actSegments = c_int(0)
status = CAENDT5720.caenLib.CAENVME_ReadCycle(
self.handle, c_int(vmeAddress + 0x812C), byref(actSegments),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error reading number of acquired segments')
raise mdsExceptions.TclFAILED_ESSENTIAL
if actSegments.value == 0:
return
#Compute Segment Size
try:
nSegments = self.num_segments.data()
segmentSamples = 1048576 / nSegments
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error reading max number of segments')
raise mdsExceptions.TclFAILED_ESSENTIAL
# Get Active channels
chanMask = c_int(0)
status = CAENDT5720.caenLib.CAENVME_ReadCycle(
self.handle, c_int(vmeAddress + 0x8120), byref(chanMask),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
nActChans = 0
chanMask = chanMask.value
numChannels = self.num_channels.data()
for chan in range(0, numChannels):
if (chanMask & (1 << chan)) != 0:
nActChans = nActChans + 1
if nActChans == 0:
print('No active groups')
return
segmentSize = 16 + 2 * segmentSamples * nActChans
class DT5720Data(Structure):
_fields_ = [("eventSize", c_int), ("boardGroup", c_int),
("counter", c_int), ("time", c_int),
("data", c_short * (segmentSize / 2))]
actSegments = actSegments.value
currStartIdx = segmentSamples - pts + startIdx
currEndIdx = segmentSamples - pts + endIdx
currChanSamples = Int32(currEndIdx - currStartIdx + 0.5).data()
triggers = []
deltas = []
channels = [None] * numChannels
for chan in range(numChannels):
channels[chan] = ndarray(currChanSamples * actSegments)
for segmentIdx in range(0, actSegments):
segment = DT5720Data()
retLen = c_int(0)
status = CAENDT5720.caenLib.CAENVME_FIFOBLTReadCycle(
self.handle, c_int(vmeAddress), byref(segment),
c_int(segmentSize), c_int(self.cvA32_S_DATA),
c_int(self.cvD64), byref(retLen))
if status != 0:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error reading data segment')
raise mdsExceptions.TclFAILED_ESSENTIAL
actSize = 4 * (segment.eventSize & 0x0fffffff)
if actSize != segmentSize:
Data.execute(
'DevLogErr($1,$2)', self.getNid(),
'Expected event size different from expected size')
raise mdsExceptions.TclFAILED_ESSENTIAL
counter = segment.time / 2
triggers.append(counter * dt)
deltas.append(dt)
sizeInInts = (segment.eventSize & 0x0fffffff) - 4
chanSizeInInts = sizeInInts / nActChans
chanSizeInShorts = chanSizeInInts * 2
#chanOffset = 0
for chan in range(numChannels):
if (chanMask & (1 << chan)) != 0:
channels[chan][segmentIdx * currChanSamples:segmentIdx *
currChanSamples + currEndIdx -
currStartIdx] = segment.data[
chan * chanSizeInShorts +
currStartIdx:chan * chanSizeInShorts +
currEndIdx]
#endfor chan in range(numChannels)
#endfor segmentIdx in range(actSegments):
if len(self.trig_source.getShape()) > 0:
dim = Dimension(
Window(startIdx,
endIdx + (actSegments - 1) * (endIdx - startIdx),
trig[0]),
Range(
Float64Array(trig) + Float64(startIdx * dt),
Float64Array(trig) + Float64(endIdx * dt),
Float64Array(deltas)))
else:
dim = Dimension(
Window(startIdx,
endIdx + (actSegments - 1) * (endIdx - startIdx), trig),
Range(
Float64Array(triggers) - Float64(triggers[0]) +
Float64(trig) + Float64(startIdx * dt),
Float64Array(triggers) - Float64(triggers[0]) +
Float64(trig) + Float64(endIdx * dt),
Float64Array(deltas)))
dim.setUnits("s")
for chan in range(numChannels):
if (chanMask & (1 << chan)) != 0:
try:
offset = getattr(self, 'channel_%d_offset' % (chan + 1))
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Error reading channel offset')
raise mdsExceptions.TclFAILED_ESSENTIAL
raw = Int16Array(channels[chan])
raw.setUnits("counts")
data = Data.compile("2*($VALUE - 2048)/4096.+$1", offset)
data.setUnits("Volts")
signal = Signal(data, raw, dim)
try:
getattr(self,
'channel_%d_data' % (chan + 1)).putData(signal)
except:
Data.execute('DevLogErr($1,$2)', self.getNid(),
'Cannot write Signal in tree')
raise mdsExceptions.TclFAILED_ESSENTIAL
#endfor chan in range(numChannels)
return
def doFrame(self):
def getStringExp(self, name, response_headers):
if name in self.args:
try:
response_headers.append(
(name, str(Data.execute(self.args[name][-1]).data())))
except Exception:
response_headers.append((name, str(sys.exc_info())))
response_headers = list()
response_headers.append(
('Cache-Control', 'no-store, no-cache, must-revalidate'))
response_headers.append(('Pragma', 'no-cache'))
response_headers.append(('Content-Type', 'application/octet-stream'))
if 'tree' in self.args:
Tree.usePrivateCtx()
try:
t = Tree(self.args['tree'][-1],
int(self.args['shot'][-1].split(',')[0]))
except:
response_headers.append(('ERROR', 'Error opening tree'))
for name in ('title', 'xlabel', 'ylabel'):
getStringExp(self, name, response_headers)
if 'frame_idx' in self.args:
frame_idx = self.args['frame_idx'][-1]
else:
frame_idx = '0'
expr = self.args['y'][-1]
try:
sig = Data.execute('GetSegment(' + expr + ',' + frame_idx + ')')
frame_data = makeData(sig.data())
except Exception:
response_headers.append(
('ERROR', 'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
if 'init' in self.args:
if 'x' in self.args:
expr = self.args['x'][-1]
try:
times = Data.execute(expr)
times = makeData(times.data())
except Exception:
response_headers.append(
('ERROR', 'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
else:
try:
#times = Data.execute('dim_of(' + expr + ')')
times = list()
numSegments = Data.execute('GetNumSegments(' + expr +
')').data()
for i in range(0, numSegments):
times.append(
Data.execute('GetSegmentLimits(' + expr + ',' +
str(i) + ')').data()[0])
times = Float64Array(times)
except Exception:
response_headers.append(
('ERROR', 'Error getting x axis of: "%s", error: %s' %
(expr, sys.exc_info())))
response_headers.append(('FRAME_WIDTH', str(sig.getShape()[0])))
response_headers.append(('FRAME_HEIGHT', str(sig.getShape()[1])))
response_headers.append(
('FRAME_BYTES_PER_PIXEL', str(frame_data.data().itemsize)))
response_headers.append(('FRAME_LENGTH', str(len(frame_data))))
output = str(frame_data.data().data)
if 'init' in self.args:
response_headers.append(('TIMES_DATATYPE', times.__class__.__name__))
response_headers.append(('TIMES_LENGTH', str(len(times))))
output = output + str(times.data().data)
status = '200 OK'
return (status, response_headers, output)
def doScopepanel(self):
def getStringExp(self, name, response_headers):
if name in self.args:
try:
response_headers.append(
(name, str(Data.execute(self.args[name][-1]).data())))
except Exception:
response_headers.append(
(name + '_error:', str(sys.exc_info())))
def manageContinuousUpdate(self, x):
if x.getShape().size == 1:
new_max_x = x.data()[-1]
else:
new_max_x = x.data()[0][-1]
curr_max_x = float(self.args['curr_max_x' + x_idx_s][-1])
displayed_width = float(self.args['displayed_width'][-1])
default_num_samples = float(self.args['default_num_samples'][-1])
num_samples = int(
(new_max_x - curr_max_x) * default_num_samples / displayed_width)
if new_max_x > curr_max_x and num_samples > 1:
if issubclass(x.dtype.type, integer):
min_req_x = floor(curr_max_x + 1)
else:
min_req_x = curr_max_x + finfo(new_max_x).eps
update_function = 'MdsMisc->GetXYWave:DSC'
infinity = sys.float_info.max
if x.__class__.__name__ == 'Uint64Array' or x.__class__.__name__ == 'Int64Array':
update_function = 'MdsMisc->GetXYWaveLongTimes:DSC'
min_req_x = str(int(min_req_x)) + 'QU'
infinity = str((1 << 63) - 1) + 'QU'
sig = Data.execute(
update_function + '(\'' +
expr.replace('\\', '\\\\').replace('\'', '\\\'') + '\',' +
str(min_req_x) + ',' + str(infinity) + ',' + str(num_samples) +
')')
return makeData(sig.dim_of().data()), makeData(sig.data())
else:
return Float64Array([]), Float64Array([])
response_headers = list()
response_headers.append(
('Cache-Control', 'no-store, no-cache, must-revalidate'))
response_headers.append(('Pragma', 'no-cache'))
if 'tree' in self.args:
Tree.usePrivateCtx()
try:
t = Tree(self.args['tree'][-1],
int(self.args['shot'][-1].split(',')[0]))
except:
pass
for name in ('title', 'xlabel', 'ylabel', 'xmin', 'xmax', 'ymin', 'ymax'):
getStringExp(self, name, response_headers)
continuous_update = 'continuous_update' in self.args
sig_idx = 0
output = ''
if 'tree' in self.args:
shots = self.args['shot'][-1].split(',')
for shot in shots:
y_idx = 1
y_idx_s = '%d' % (y_idx, )
while 'y' + y_idx_s in self.args:
x_idx_s = y_idx_s
sig_idx = sig_idx + 1
sig_idx_s = '%d' % (sig_idx, )
expr = self.args['y' + y_idx_s][-1]
y_idx = y_idx + 1
y_idx_s = '%d' % (y_idx, )
try:
t = Tree(self.args['tree'][-1], int(shot))
response_headers.append(('SHOT' + sig_idx_s, str(t.shot)))
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error opening tree %s, shot %s, error: %s' %
(self.args['tree'][-1], shot, sys.exc_info())))
continue
if 'default_node' in self.args:
try:
t.setDefault(t.getNode(self.args['default_node'][-1]))
except Exception:
response_headers.append((
'ERROR' + sig_idx_s,
'Error setting default to %s in tree %s, shot %s, error: %s'
% (self.args['default_node'][-1],
self.args['tree'][-1], shot, sys.exc_info())))
continue
try:
sig = Data.execute(expr)
if not continuous_update:
y = makeData(sig.data())
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
continue
if 'x' + x_idx_s in self.args:
expr = self.args['x' + x_idx_s][-1]
try:
x = Data.execute(expr)
x = makeData(x.data())
if continuous_update:
x, y = manageContinuousUpdate(self, x)
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
continue
else:
try:
x = makeData(sig.dim_of().data())
if continuous_update:
x, y = manageContinuousUpdate(self, x)
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error getting x axis of %s:, error: %s' %
(expr, sys.exc_info())))
continue
if x.__class__.__name__ == 'Uint64Array' or x.__class__.__name__ == 'Int64Array':
x = Float64Array(
x) # Javascript doesn't support 64 bit integers
response_headers.append(('X_IS_DATETIME', 'true'))
response_headers.append(
('X' + sig_idx_s + '_DATATYPE', x.__class__.__name__))
response_headers.append(
('Y' + sig_idx_s + '_DATATYPE', y.__class__.__name__))
response_headers.append(
('X' + sig_idx_s + '_LENGTH', str(len(x))))
response_headers.append(
('Y' + sig_idx_s + '_LENGTH', str(len(y))))
output = output + str(x.data().data) + str(y.data().data)
else:
y_idx = 1
y_idx_s = '%d' % (y_idx, )
while 'y' + y_idx_s in self.args:
x_idx_s = y_idx_s
expr = self.args['y' + y_idx_s][-1]
y_idx = y_idx + 1
y_idx_s = '%d' % (y_idx, )
sig_idx = sig_idx + 1
sig_idx_s = '%d' % (sig_idx, )
try:
sig = Data.execute(expr)
if not continuous_update:
y = makeData(sig.data())
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
continue
if 'x' + x_idx_s in self.args:
expr = self.args['x' + x_idx_s][-1]
try:
x = Data.execute(expr)
x = makeData(x.data())
if continuous_update:
x, y = manageContinuousUpdate(self, x)
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error evaluating expression: "%s", error: %s' %
(expr, sys.exc_info())))
continue
else:
try:
x = makeData(sig.dim_of().data())
if continuous_update:
x, y = manageContinuousUpdate(self, x)
except Exception:
response_headers.append(
('ERROR' + sig_idx_s,
'Error getting x axis of %s: "%s", error: %s' %
(expr, sys.exc_info())))
continue
if x.__class__.__name__ == 'Uint64Array' or x.__class__.__name__ == 'Int64Array':
x = Float64Array(
x) # Javascript doesn't support 64 bit integers
response_headers.append(('X_IS_DATETIME', 'true'))
response_headers.append(
('X' + sig_idx_s + '_DATATYPE', x.__class__.__name__))
response_headers.append(
('Y' + sig_idx_s + '_DATATYPE', y.__class__.__name__))
response_headers.append(('X' + sig_idx_s + '_LENGTH', str(len(x))))
response_headers.append(('Y' + sig_idx_s + '_LENGTH', str(len(y))))
output = output + str(x.data().data) + str(y.data().data)
return ('200 OK', response_headers, output)
def store(self):
if CAENV1740.caenLib is None:
CAENV1740.caenLib = CDLL("libCAENVME.so")
handle = c_long(0)
status = CAENV1740.caenLib.CAENVME_Init(c_int(self.cvV2718), c_int(0),
c_int(0), byref(handle))
if status != 0:
print('Error initializing CAENVME')
raise mdsExceptions.TclFAILED_ESSENTIAL
try: # except line 508
boardId = self.board_id.data()
if Device.debug: print('BOARD ID: ', boardId)
vmeAddress = self.vme_address.data()
if Device.debug: print('VME ADDRESS: ', vmeAddress)
try:
clock = self.clock_source.evaluate()
dt = clock.getDelta().data()
except:
print('Error evaluating clock source')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
trig = self.trig_source.data()
except:
print('Error evaluating trigger source')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
startIdx = self.start_idx.data()
endIdx = self.end_idx.data()
except:
print('Error evaluating start or end idx')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
try:
pts = self.pts.data()
except:
print('Error evaluating Post Trigger Samples')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
# Stop device
status = CAENV1740.caenLib.CAENVME_WriteCycle(
handle, c_int(vmeAddress + 0x8100), byref(c_int(0)),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
print('Error stopping device')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
#need to wait a while
sleep(0.1)
# Read number of buffers */
actSegments = c_int(0)
status = CAENV1740.caenLib.CAENVME_ReadCycle(
handle, c_int(vmeAddress + 0x812C), byref(actSegments),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
print('Error reading number of acquired segments')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
if Device.debug: print('Acquired segments: ', actSegments.value)
if actSegments.value == 0:
CAENV1740.caenLib.CAENVME_End(handle)
return
#Compute Segment Size
try:
nSegments = self.num_segments.data()
segmentSamples = 196608 / nSegments
print('Segment samples: ', segmentSamples)
except:
print('Error reading max number of segments')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
# Get Active groups
groupMask = c_int(0)
status = CAENV1740.caenLib.CAENVME_ReadCycle(
handle, c_int(vmeAddress + 0x8120), byref(groupMask),
c_int(self.cvA32_S_DATA), c_int(self.cvD32))
nActGroups = 0
groupMask = groupMask.value
for group in range(0, 8):
if (groupMask & (1 << group)) != 0:
nActGroups = nActGroups + 1
if nActGroups == 0:
if Device.debug: print('No active groups')
CAENV1740.caenLib.CAENVME_End(handle)
return
segmentSize = 16 + segmentSamples * nActGroups * 8 * 12 / 8
class V1740Data(Structure):
_fields_ = [("eventSize", c_int), ("boardGroup", c_int),
("counter", c_int), ("time", c_int),
("data",
c_int * (segmentSamples * 64 * 12 / (8 * 4)))]
actSegments = actSegments.value
currStartIdx = segmentSamples - pts + startIdx
currEndIdx = segmentSamples - pts + endIdx
DataArray = c_short * (
(currEndIdx - currStartIdx + 1) * actSegments)
triggers = []
deltas = []
channels = []
for chan in range(0, 64):
channels.append([])
for chan in range(0, 64):
channels[chan] = DataArray()
c = []
for i in range(0, 64):
c.append(0)
for sample in range(0, actSegments):
segment = V1740Data()
retLen = c_int(0)
status = CAENV1740.caenLib.CAENVME_FIFOBLTReadCycle(
handle, c_int(vmeAddress), byref(segment),
c_int(segmentSize), c_int(self.cvA32_S_DATA),
c_int(self.cvD64), byref(retLen))
if status != 0:
print('Error reading data segment')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
actSize = 4 * (segment.eventSize & 0x0fffffff)
if actSize != segmentSize:
print('Expected event size different from expected size')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
counter = segment.time / 2
triggers.append(counter * dt)
deltas.append(dt)
sizeInInts = (segment.eventSize & 0x0fffffff) - 4
groupSize = sizeInInts / nActGroups
groupOffset = 0
for group in range(0, 8):
if (groupMask & (1 << group)) != 0:
rpnt = 0
sampleCount = 0
while rpnt < groupSize:
if rpnt % 9 == 0:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8][
c[group * 8 +
0]] = segment.data[groupOffset +
rpnt] & 0x00000FFF
c[group * 8 + 0] = c[group * 8 + 0] + 1
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8][c[group * 8 + 0]] = (
segment.data[groupOffset + rpnt]
& 0x00FFF000) >> 12
c[group * 8 + 0] = c[group * 8 + 0] + 1
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8][c[group * 8 + 0]] = (
(segment.data[groupOffset + rpnt]
& 0xFF000000) >> 24
) | ((segment.data[groupOffset + rpnt + 1]
& 0x0000000F) << 8)
c[group * 8 + 0] = c[group * 8 + 0] + 1
if rpnt % 9 == 1:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 1][c[
group * 8 +
1]] = (segment.data[groupOffset + rpnt]
& 0x0000FFF0) >> 4
c[group * 8 + 1] = c[group * 8 + 1] + 1
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 1][c[
group * 8 +
1]] = (segment.data[groupOffset + rpnt]
& 0x0FFF0000) >> 16
c[group * 8 + 1] = c[group * 8 + 1] + 1
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 1][c[
group * 8 + 1]] = (
(segment.data[groupOffset + rpnt]
& 0xF0000000) >> 28) | (
(segment.data[groupOffset +
rpnt + 1]
& 0x000000FF) << 4)
c[group * 8 + 1] = c[group * 8 + 1] + 1
if rpnt % 9 == 2:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 2][c[
group * 8 +
2]] = (segment.data[groupOffset + rpnt]
& 0x000FFF00) >> 8
c[group * 8 + 2] = c[group * 8 + 2] + 1
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 2][c[
group * 8 +
2]] = (segment.data[groupOffset + rpnt]
& 0xFFF00000) >> 20
c[group * 8 + 2] = c[group * 8 + 2] + 1
if rpnt % 9 == 3:
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 2][
c[group * 8 +
2]] = segment.data[groupOffset +
rpnt] & 0x00000FFF
c[group * 8 + 2] = c[group * 8 + 2] + 1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 3][c[
group * 8 +
3]] = (segment.data[groupOffset + rpnt]
& 0x00FFF000) >> 12
c[group * 8 + 3] = c[group * 8 + 3] + 1
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 3][c[
group * 8 + 3]] = (
(segment.data[groupOffset + rpnt]
& 0xFF000000) >> 24) | (
(segment.data[groupOffset +
rpnt + 1]
& 0x0000000F) << 8)
c[group * 8 + 3] = c[group * 8 + 3] + 1
if rpnt % 9 == 4:
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 3][c[
group * 8 +
3]] = (segment.data[groupOffset + rpnt]
& 0x0000FFF0) >> 4
c[group * 8 + 3] = c[group * 8 + 3] + 1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 4][c[
group * 8 +
4]] = (segment.data[groupOffset + rpnt]
& 0x0FFF0000) >> 16
c[group * 8 + 4] = c[group * 8 + 4] + 1
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 4][c[
group * 8 + 4]] = (
(segment.data[groupOffset + rpnt]
& 0xF0000000) >> 28) | (
(segment.data[groupOffset +
rpnt + 1]
& 0x000000FF) << 4)
c[group * 8 + 4] = c[group * 8 + 4] + 1
if rpnt % 9 == 5:
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 4][c[
group * 8 +
4]] = (segment.data[groupOffset + rpnt]
& 0x000FFF00) >> 8
c[group * 8 + 4] = c[group * 8 + 4] + 1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 5][c[
group * 8 +
5]] = (segment.data[groupOffset + rpnt]
& 0xFFF00000) >> 20
c[group * 8 + 5] = c[group * 8 + 5] + 1
if rpnt % 9 == 6:
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 5][
c[group * 8 +
5]] = segment.data[groupOffset +
rpnt] & 0x00000FFF
c[group * 8 + 5] = c[group * 8 + 5] + 1
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 5][c[
group * 8 +
5]] = (segment.data[groupOffset + rpnt]
& 0x00FFF000) >> 12
c[group * 8 + 5] = c[group * 8 + 5] + 1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 6][c[
group * 8 + 6]] = (
(segment.data[groupOffset + rpnt]
& 0xFF000000) >> 24) | (
(segment.data[groupOffset +
rpnt + 1]
& 0x0000000F) << 8)
c[group * 8 + 6] = c[group * 8 + 6] + 1
if rpnt % 9 == 7:
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 6][c[
group * 8 +
6]] = (segment.data[groupOffset + rpnt]
& 0x0000FFF0) >> 4
c[group * 8 + 6] = c[group * 8 + 6] + 1
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 6][c[
group * 8 +
6]] = (segment.data[groupOffset + rpnt]
& 0x0FFF0000) >> 16
c[group * 8 + 6] = c[group * 8 + 6] + 1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx:
channels[group * 8 + 7][c[
group * 8 + 7]] = (
(segment.data[groupOffset + rpnt]
& 0xF0000000) >> 28) | (
(segment.data[groupOffset +
rpnt + 1]
& 0x000000FF) << 4)
c[group * 8 + 7] = c[group * 8 + 7] + 1
if rpnt % 9 == 8:
if sampleCount + 1 >= currStartIdx and sampleCount + 1 <= currEndIdx:
channels[group * 8 + 7][c[
group * 8 +
7]] = (segment.data[groupOffset + rpnt]
& 0x000FFF00) >> 8
c[group * 8 + 7] = c[group * 8 + 7] + 1
if sampleCount + 2 >= currStartIdx and sampleCount + 2 <= currEndIdx:
channels[group * 8 + 7][c[
group * 8 +
7]] = (segment.data[groupOffset + rpnt]
& 0xFFF00000) >> 20
c[group * 8 + 7] = c[group * 8 + 7] + 1
if rpnt % 9 == 8:
sampleCount = sampleCount + 3
rpnt = rpnt + 1
#endwhile
groupOffset = groupOffset + groupSize
#endif
#endfor group in range(0:8)
#endfor samples in range(0, actSegments)
if len(self.trig_source.getShape()) > 0:
dim = Dimension(
Window(startIdx,
endIdx + (actSegments - 1) * (endIdx - startIdx),
trig[0]),
Range(
Float64Array(trig) + Float64(startIdx * dt),
Float64Array(trig) + Float64(endIdx * dt),
Float64Array(deltas)))
else:
dim = Dimension(
Window(startIdx,
endIdx + (actSegments - 1) * (endIdx - startIdx),
trig),
Range(
Float64Array(triggers) - Float64(triggers[0]) +
Float64(trig) + Float64(startIdx * dt),
Float64Array(triggers) - Float64(triggers[0]) +
Float64(trig) + Float64(endIdx * dt),
Float64Array(deltas)))
print('DIM: ', dim)
dim.setUnits("s")
for group in range(0, 8):
if groupMask & (1 << group):
try:
offset = self.__dict__['group_%d_offset' %
(group + 1)].data()
except:
print('Error evaluating group offset')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
for chan in range(0, 8):
raw = Int16Array(channels[group * 8 + chan])
raw.setUnits("counts")
data = Data.compile("2*($VALUE - 2048)/4096.+$1",
offset)
data.setUnits("Volts")
signal = Signal(data, raw, dim)
try:
self.__dict__['data%02d' %
((group + 1) *
(chan + 1), )].putData(signal)
except:
print('Cannot write Signal in the tree')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
#endfor
#endif
#endfor
CAENV1740.caenLib.CAENVME_End(handle)
return
except: # try line 258
print('Generic Error')
CAENV1740.caenLib.CAENVME_End(handle)
raise mdsExceptions.TclFAILED_ESSENTIAL
def store(self,arg):
from MDSplus import Tree, TreeNode, Int16Array, Float64Array, Int32, Int64, Float32, Float64, Signal, Data, Dimension, Window, Range
from ctypes import CDLL, c_int, c_short, c_long, byref, Structure
import time
caenLib = CDLL("libCAENVME.so")
handle = c_long(0)
status = caenLib.CAENVME_Init(c_int(self.cvV2718), c_int(0), c_int(0), byref(handle))
if status != 0:
print 'Error initializing CAENVME'
return 0
try:
baseNid = self.node.getNid()
boardId = TreeNode(baseNid + self.N_BOARD_ID).data()
print 'BOARD ID: ', boardId
vmeAddress = TreeNode(baseNid + self.N_VME_ADDRESS).data()
print 'VME ADDRESS: ', vmeAddress
try:
clock = TreeNode(baseNid + self.N_CLOCK_SOURCE).evaluate()
dt = clock.getDelta().data()
except:
print 'Error evaluating clock source'
caenLib.CAENVME_End(handle)
return 0
try:
trig = TreeNode(baseNid + self.N_TRIG_SOURCE).data()
except:
print 'Error evaluating trigger source'
caenLib.CAENVME_End(handle)
return 0
try:
startIdx = TreeNode(baseNid + self.N_START_IDX).data()
endIdx = TreeNode(baseNid + self.N_END_IDX).data()
except:
print 'Error evaluating start or end idx'
caenLib.CAENVME_End(handle)
return 0
try:
pts = TreeNode(baseNid + self.N_PTS).data()
except:
print 'Error evaluating Post Trigger Samples'
caenLib.CAENVME_End(handle)
return 0
# Stop device
status = caenLib.CAENVME_WriteCycle(handle, c_int(vmeAddress + 0x8100), byref(c_int(0L)), c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
print 'Error stopping device'
caenLib.CAENVME_End(handle)
return 0
#need to wait a while
time.sleep(0.1)
# Read number of buffers */
actSegments = c_int(0)
status = caenLib.CAENVME_ReadCycle(handle, c_int(vmeAddress + 0x812C), byref(actSegments), c_int(self.cvA32_S_DATA), c_int(self.cvD32))
if status != 0:
print 'Error reading number of acquired segments'
caenLib.CAENVME_End(handle)
return 0
print 'Acquired segments: ', actSegments.value
if actSegments.value == 0:
caenLib.CAENVME_End(handle)
return 1
#Compute Segment Size
try:
nSegments = TreeNode(baseNid + self.N_NUM_SEGMENTS).data()
segmentSamples = 196608/nSegments
print 'Segment samples: ', segmentSamples
except:
print 'Error reading max number of segments'
caenLib.CAENVME_End(handle)
return 0
# Get Active groups
groupMask = c_int(0)
status = caenLib.CAENVME_ReadCycle(handle, c_int(vmeAddress + 0x8120), byref(groupMask), c_int(self.cvA32_S_DATA), c_int(self.cvD32))
nActGroups = 0
groupMask = groupMask.value
for group in range(0,8):
if (groupMask & (1 << group)) != 0:
nActGroups = nActGroups + 1
if nActGroups == 0:
print 'No active groups'
caenLib.CAENVME_End(handle)
return 1
segmentSize = 16 + segmentSamples * nActGroups * 8 * 12 / 8
class V1740Data(Structure):
_fields_ = [("eventSize", c_int), ("boardGroup", c_int), ("counter", c_int), ("time", c_int), ("data", c_int * (segmentSamples * 64*12/(8*4)))]
actSegments = actSegments.value
currStartIdx = segmentSamples - pts + startIdx
currEndIdx = segmentSamples - pts + endIdx
DataArray = c_short * ((currEndIdx - currStartIdx + 1) * actSegments)
triggers = []
deltas = []
channels = []
for chan in range(0,64):
channels.append([])
for chan in range(0,64):
channels[chan] = DataArray()
c = []
for i in range(0,64):
c.append(0)
for sample in range(0,actSegments):
segment= V1740Data()
retLen = c_int(0)
status = caenLib.CAENVME_FIFOBLTReadCycle(handle, c_int(vmeAddress), byref(segment), c_int(segmentSize),
c_int(self.cvA32_S_DATA), c_int(self.cvD64), byref(retLen))
if status != 0:
print 'Error reading data segment'
caenLib.CAENVME_End(handle)
return 0
actSize = 4 * (segment.eventSize & 0x0fffffff)
if actSize != segmentSize:
print 'Expected event size different from expected size'
caenLib.CAENVME_End(handle)
return 0
counter = segment.time/2
triggers.append(counter*dt)
deltas.append(dt)
sizeInInts = (segment.eventSize & 0x0fffffff) - 4;
groupSize = sizeInInts/nActGroups;
groupOffset = 0
for group in range(0,8):
if (groupMask & (1 << group)) != 0:
rpnt = 0
sampleCount = 0;
while rpnt < groupSize :
if rpnt % 9 == 0:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8][c[group*8+0]] = segment.data[groupOffset+rpnt] & 0x00000FFF
c[group*8+0] = c[group*8+0]+1
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8][c[group*8+0]] = (segment.data[groupOffset+rpnt] & 0x00FFF000) >> 12
c[group*8+0] = c[group*8+0]+1
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8][c[group*8+0]] = ((segment.data[groupOffset+rpnt] & 0xFF000000) >> 24) | ((segment.data[groupOffset+rpnt+1] & 0x0000000F) << 8)
c[group*8+0] = c[group*8+0]+1
if rpnt % 9 == 1:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+1][c[group*8+1]] = (segment.data[groupOffset+rpnt] & 0x0000FFF0) >> 4
c[group*8+1] = c[group*8+1]+1
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+1][c[group*8+1]] = (segment.data[groupOffset+rpnt] & 0x0FFF0000) >> 16
c[group*8+1] = c[group*8+1]+1
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+1][c[group*8+1]] = ((segment.data[groupOffset+rpnt] & 0xF0000000) >> 28) | ((segment.data[groupOffset+rpnt+1] & 0x000000FF) << 4)
c[group*8+1] = c[group*8+1]+1
if rpnt % 9 == 2:
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+2][c[group*8+2]] = (segment.data[groupOffset+rpnt] & 0x000FFF00) >> 8
c[group*8+2] = c[group*8+2]+1
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+2][c[group*8+2]] = (segment.data[groupOffset+rpnt] & 0xFFF00000) >> 20
c[group*8+2] = c[group*8+2]+1
if rpnt % 9 == 3:
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+2][c[group*8+2]] = segment.data[groupOffset+rpnt] & 0x00000FFF
c[group*8+2] = c[group*8+2]+1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+3][c[group*8+3]] = (segment.data[groupOffset+rpnt] & 0x00FFF000) >> 12
c[group*8+3] = c[group*8+3]+1
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+3][c[group*8+3]] = ((segment.data[groupOffset+rpnt] & 0xFF000000) >> 24) | ((segment.data[groupOffset+rpnt+1] & 0x0000000F) << 8)
c[group*8+3] = c[group*8+3]+1
if rpnt % 9 == 4:
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+3][c[group*8+3]] = (segment.data[groupOffset+rpnt] & 0x0000FFF0) >> 4
c[group*8+3] = c[group*8+3]+1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+4][c[group*8+4]] = (segment.data[groupOffset+rpnt] & 0x0FFF0000) >> 16
c[group*8+4] = c[group*8+4]+1
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+4][c[group*8+4]] = ((segment.data[groupOffset+rpnt] & 0xF0000000) >> 28) | ((segment.data[groupOffset+rpnt+1] & 0x000000FF) << 4)
c[group*8+4] = c[group*8+4]+1
if rpnt % 9 == 5:
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+4][c[group*8+4]] = (segment.data[groupOffset+rpnt] & 0x000FFF00) >> 8
c[group*8+4] = c[group*8+4]+1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+5][c[group*8+5]] = (segment.data[groupOffset+rpnt] & 0xFFF00000) >> 20
c[group*8+5] = c[group*8+5]+1
if rpnt % 9 == 6:
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+5][c[group*8+5]] = segment.data[groupOffset+rpnt] & 0x00000FFF
c[group*8+5] = c[group*8+5]+1
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+5][c[group*8+5]] = (segment.data[groupOffset+rpnt] & 0x00FFF000) >> 12
c[group*8+5] = c[group*8+5]+1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+6][c[group*8+6]] = ((segment.data[groupOffset+rpnt] & 0xFF000000) >> 24) | ((segment.data[groupOffset+rpnt+1] & 0x0000000F) << 8)
c[group*8+6] = c[group*8+6]+1
if rpnt % 9 == 7:
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+6][c[group*8+6]] = (segment.data[groupOffset+rpnt] & 0x0000FFF0) >> 4
c[group*8+6] = c[group*8+6]+1
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+6][c[group*8+6]] = (segment.data[groupOffset+rpnt] & 0x0FFF0000) >> 16
c[group*8+6] = c[group*8+6]+1
if sampleCount >= currStartIdx and sampleCount <= currEndIdx :
channels[group*8+7][c[group*8+7]] = ((segment.data[groupOffset+rpnt] & 0xF0000000) >> 28) | ((segment.data[groupOffset+rpnt+1] & 0x000000FF) << 4)
c[group*8+7] = c[group*8+7]+1
if rpnt % 9 == 8:
if sampleCount +1 >= currStartIdx and sampleCount + 1 <= currEndIdx :
channels[group*8+7][c[group*8+7]] = (segment.data[groupOffset+rpnt] & 0x000FFF00) >> 8
c[group*8+7] = c[group*8+7]+1
if sampleCount +2 >= currStartIdx and sampleCount +2 <= currEndIdx :
channels[group*8+7][c[group*8+7]] = (segment.data[groupOffset+rpnt] & 0xFFF00000) >> 20
c[group*8+7] = c[group*8+7]+1
if rpnt % 9 == 8:
sampleCount = sampleCount + 3
rpnt = rpnt + 1
#endwhile
groupOffset = groupOffset + groupSize
#endif
#endfor group in range(0:8)
#endfor samples in range(0, actSegments)
if len(TreeNode(baseNid + self.N_TRIG_SOURCE).getShape()) > 0:
dim = Dimension(Window(startIdx,endIdx+(actSegments - 1) * (endIdx - startIdx), trig[0]),Range(Float64Array(trig) + Float64(startIdx * dt), Float64Array(trig) + Float64(endIdx * dt), Float64Array(deltas)))
else:
dim = Dimension(Window(startIdx,endIdx+(actSegments - 1) * (endIdx - startIdx), trig),Range(Float64Array(triggers) - Float64(triggers[0]) + Float64(trig) + Float64(startIdx * dt), Float64Array(triggers) - Float64(triggers[0]) + Float64(trig) + Float64(endIdx * dt), Float64Array(deltas)))
print 'DIM: ', dim
dim.setUnits("s");
chan0Nid = baseNid + self.N_CHANNEL_0
data0Nid = baseNid + self.N_DATA_0
for group in range(0,8):
if groupMask & (1 << group):
try:
offset = TreeNode(baseNid + self.N_CHANNEL_0 + group * self.N_CHAN_DATA + self.N_CHAN_OFFSET).data()
except:
print 'Error evaluating group offset'
caenLib.CAENVME_End(handle)
return 0
for chan in range(0,8):
raw = Int16Array(channels[group * 8 + chan])
raw.setUnits("counts")
data = Data.compile("2*($VALUE - 2048)/4096.+$1", offset);
data.setUnits("Volts")
signal = Signal(data, raw, dim)
try:
TreeNode(baseNid + self.N_DATA_0 + group * 8 + chan).putData(signal)
except:
print 'Cannot write Signal in the tree'
caenLib.CAENVME_End(handle)
return 0
#endfor
#endif
#endfor
caenLib.CAENVME_End(handle)
return 1
except:
print 'Generic Error'
caenLib.CAENVME_End(handle)
return 0
def doFrame(self):
def getStringExp(self, name, response_headers, _tdi):
if name in self.args:
try:
response_headers.append(
(name, str(_tdi(self.args[name][-1]).data())))
except Exception as e:
response_headers.append((name, "ERROR: %s" % (e, )))
response_headers = list()
response_headers.append(
('Cache-Control', 'no-store, no-cache, must-revalidate'))
response_headers.append(('Pragma', 'no-cache'))
response_headers.append(('Content-Type', 'application/octet-stream'))
if 'tree' in self.args:
tree = self.openTree(self.args['tree'][-1],
self.args['shot'][-1].split(',')[0])
_tdi = tree.tdiExecute
else:
tree = None
_tdi = tdi
for name in ('title', 'xlabel', 'ylabel'):
getStringExp(self, name, response_headers, _tdi)
if 'frame_idx' in self.args:
frame_idx = self.args['frame_idx'][-1]
else:
frame_idx = '0'
expr = self.args['y'][-1]
sig = _tdi('GetSegment(' + expr + ',' + frame_idx + ')')
frame_data = DATA(sig).evaluate()
response_headers.append(('FRAME_WIDTH', str(sig.getShape()[0])))
response_headers.append(('FRAME_HEIGHT', str(sig.getShape()[1])))
response_headers.append(
('FRAME_BYTES_PER_PIXEL', str(frame_data.data().itemsize)))
response_headers.append(('FRAME_LENGTH', str(len(frame_data))))
output = str(frame_data.data().data)
if 'init' in self.args:
if 'x' in self.args:
expr = self.args['x'][-1]
times = DATA(_tdi(expr)).evaulate()
else:
times = list()
numSegments = _tdi('GetNumSegments(' + expr + ')').data()
for i in range(0, numSegments):
times.append(
_tdi('GetSegmentLimits(' + expr + ',' + str(i) +
')').data()[0])
times = Float64Array(times)
response_headers.append(('TIMES_DATATYPE', times.__class__.__name__))
response_headers.append(('TIMES_LENGTH', str(len(times))))
output = output + str(times.data().data)
status = '200 OK'
return (status, response_headers, output)