def _initBuffers(self, ntrends):
"""initializes new x and y buffers"""
self._yBuffer = ArrayBuffer(numpy.zeros(
(min(128, self._maxBufferSize), ntrends), dtype='d'),
maxSize=self._maxBufferSize)
self._xBuffer = ArrayBuffer(
(numpy.zeros(min(128, self._maxBufferSize), dtype='d')),
maxSize=self._maxBufferSize)
class TaurusTrendSet(PlotDataItem, TaurusBaseComponent):
"""
A PlotDataItem for displaying trend curve(s) associated to a
TaurusAttribute. The TaurusTrendSet itself does not contain any data,
but acts as a manager that dynamically adds/removes curve(s) (other
PlotDataItems) to its associated plot.
If the attribute is a scalar, the Trend Set generates only one curve
representing the evolution of the value of the attribute. If the attribute
is an array, as many curves as the attribute size are created,
each representing the evolution of the value of a component of the array.
When an event is received, all curves belonging to a TaurusTrendSet
are updated.
TaurusTrendSet can be considered as a container of (sorted) curves.
As such, the curves contained by it can be accessed by index::
ts = TaurusTrendSet('eval:rand(3)')
# (...) wait for a Taurus Event arriving so that the curves are created
ncurves = len(ts) # ncurves will be 3 (assuming the event arrived)
curve0 = ts[0] # you can access the curve by index
Note that internally each curve is a :class:`pyqtgraph.PlotDataItem` (i.e.,
it is not aware of events by itself, but it relies on the TaurusTrendSet
object to update its values)
"""
def __init__(self, *args, **kwargs):
_ = kwargs.pop("xModel", None)
yModel = kwargs.pop("yModel", None)
colors = kwargs.pop("colors", None)
if colors is None:
colors = LoopList(CURVE_COLORS)
name = kwargs.pop("name", None)
PlotDataItem.__init__(self, x=[], y=[], name=name)
TaurusBaseComponent.__init__(self, "TaurusBaseComponent")
self._UImodifiable = False
self._maxBufferSize = 65536 # (=2**16, i.e., 64K events))
self._xBuffer = None
self._yBuffer = None
self._curveColors = colors
self._args = args
self._kwargs = kwargs
self._curves = []
self._timer = Qt.QTimer()
self._timer.timeout.connect(self._forceRead)
self._legend = None
# register config properties
self.setModelInConfig(True)
self.registerConfigProperty(
self._getCurvesOpts, self._setCurvesOpts, "opts"
)
# TODO: store forceReadPeriod config
# TODO: store _maxBufferSize config
if yModel is not None:
self.setModel(yModel)
def __repr__(self):
return "<TrendSet {} ({} items)>".format(self.base_name(), len(self))
def name(self):
"""Reimplemented from PlotDataItem to avoid having the ts itself added
to legends.
.. seealso:: :meth:`basename`
"""
return None
def base_name(self):
"""Returns the name of the trendset, which is used as a prefix for
constructing the associated curves names
.. seealso:: :meth:`name`
"""
return PlotDataItem.name(self)
def __getitem__(self, k):
return self._curves[k]
def __len__(self):
return len(self._curves)
def __contains__(self, k):
return k in self._curves
def setModel(self, name):
"""Reimplemented from :meth:`TaurusBaseComponent.setModel`"""
TaurusBaseComponent.setModel(self, name)
# force a read to ensure that the curves are created
self._forceRead()
def _initBuffers(self, ntrends):
"""initializes new x and y buffers"""
self._yBuffer = ArrayBuffer(
numpy.zeros((min(128, self._maxBufferSize), ntrends), dtype="d"),
maxSize=self._maxBufferSize,
)
self._xBuffer = ArrayBuffer(
(numpy.zeros(min(128, self._maxBufferSize), dtype="d")),
maxSize=self._maxBufferSize,
)
def _initCurves(self, ntrends):
""" Initializes new curves """
# self._removeFromLegend(self._legend)
# remove previously existing curves from views
self._updateViewBox(None)
self._curves = []
if self._curveColors is None:
self._curveColors = LoopList(CURVE_COLORS)
self._curveColors.setCurrentIndex(-1)
a = self._args
kw = self._kwargs.copy()
base_name = (
self.base_name()
or taurus.Attribute(self.getModel()).getSimpleName()
)
for i in range(ntrends):
subname = "%s[%i]" % (base_name, i)
kw["name"] = subname
curve = TrendCurve(*a, **kw)
if "pen" not in kw:
curve.setPen(next(self._curveColors))
self._curves.append(curve)
self._updateViewBox(self.getViewBox())
def _addToLegend(self, legend):
# ------------------------------------------------------------------
# In theory, TaurusTrendSet only uses viewBox.addItem to add its
# sub-curves to the plot. In theory this should not add the curves
# to the legend, and therefore we should do it here.
# But somewhere the curves are already being added to the legend, and
# if we re-add them here we get duplicated legend entries
# TODO: Find where are the curves being added to the legend
pass
# if legend is None:
# return
# for c in self._curves:
# legend.addItem(c, c.name())
# -------------------------------------------------------------------
def _removeFromLegend(self, legend):
if legend is None:
return
for c in self._curves:
legend.removeItem(c.name())
def _updateViewBox(self, viewBox):
"""Add/remove the "extra" curves from the viewbox if needed"""
for curve in self._curves:
curve_viewBox = curve.getViewBox()
if curve_viewBox is not None:
plotItem = None
viewWidget = curve_viewBox.getViewWidget()
if viewWidget is not None:
plotItem = viewWidget.getPlotItem()
curve_viewBox.removeItem(curve)
if plotItem is not None:
plotItem.removeItem(curve)
if viewBox is not None:
plotItem = None
viewWidget = viewBox.getViewWidget()
if viewWidget is not None:
plotItem = viewWidget.getPlotItem()
if plotItem is not None:
curve = ensure_unique_curve_name(curve, plotItem)
_cname = curve.name()
params = {"all trends": _cname}
plotItem.addItem(curve, params=params)
def _updateBuffers(self, evt_value):
"""Update the x and y buffers with the new data. If the new data is
not compatible with the existing buffers, the buffers are reset
"""
# TODO: we use .magnitude below to avoid issue #509 in pint
# https://github.com/hgrecco/pint/issues/509
ntrends = numpy.size(evt_value.rvalue.magnitude)
if not self._isDataCompatible(evt_value, ntrends):
self._initBuffers(ntrends)
self._yUnits = evt_value.rvalue.units
self._initCurves(ntrends)
try:
self._yBuffer.append(evt_value.rvalue.to(self._yUnits).magnitude)
except Exception as e:
self.warning(
"Problem updating buffer Y (%s):%s", evt_value.rvalue, e
)
evt_value = None
try:
self._xBuffer.append(evt_value.time.totime())
except Exception as e:
self.warning("Problem updating buffer X (%s):%s", evt_value, e)
return self._xBuffer.contents(), self._yBuffer.contents()
def _isDataCompatible(self, evt_value, ntrends):
"""
Check that the new evt_value is compatible with the current data in the
buffers. Check shape and unit compatibility.
"""
if self._xBuffer is None or self._yBuffer is None:
return False
rvalue = evt_value.rvalue
if rvalue.dimensionality != self._yUnits.dimensionality:
return False
current_trends = numpy.prod(self._yBuffer.contents().shape[1:])
if ntrends != current_trends:
return False
return True
def _addData(self, x, y):
for i, curve in enumerate(self._curves):
curve.setData(x=x, y=y[:, i])
def clearBuffer(self):
"""Reset the buffered data"""
self._initBuffers(len(self._curves))
def handleEvent(self, evt_src, evt_type, evt_value):
"""Reimplementation of :meth:`TaurusBaseComponent.handleEvent`"""
# model = evt_src if evt_src is not None else self.getModelObj()
# TODO: support boolean values from evt_value.rvalue
if (
evt_value is None
or not hasattr(evt_value, "rvalue")
or evt_value.rvalue is None
):
self.info("Invalid value. Ignoring.")
return
else:
try:
xValues, yValues = self._updateBuffers(evt_value)
except Exception:
# TODO: handle dropped events see: TaurusTrend._onDroppedEvent
raise
self._addData(xValues, yValues)
def parentChanged(self):
"""Reimplementation of :meth:`PlotDataItem.parentChanged` to handle
the change of the containing viewbox
"""
PlotDataItem.parentChanged(self)
self._updateViewBox(self.getViewBox())
# update legend if needed
try:
legend = self.getViewWidget().getPlotItem().legend
except Exception:
legend = None
if legend is not self._legend:
self._removeFromLegend(self._legend)
self._addToLegend(legend)
self._legend = legend
# Set period from ForcedReadTool (if found)
try:
for a in self.getViewBox().menu.actions():
if isinstance(a, ForcedReadTool) and a.autoconnect():
self.setForcedReadPeriod(a.period())
break
except Exception as e:
self.debug("cannot set period from ForcedReadTool: %r", e)
@property
def forcedReadPeriod(self):
"""Returns the forced reading period (in ms). A value <= 0 indicates
that the forced reading is disabled
"""
return self._timer.interval()
def setForcedReadPeriod(self, period):
"""
Forces periodic reading of the subscribed attribute in order to show
new points even if no events are received.
It will create fake events as needed with the read value.
It will also block the plotting of regular events when period > 0.
:param period: (int) period in milliseconds. Use period<=0 to stop the
forced periodic reading
"""
# stop the timer and remove the __ONLY_OWN_EVENTS filter
self._timer.stop()
filters = self.getEventFilters()
if self.__ONLY_OWN_EVENTS in filters:
filters.remove(self.__ONLY_OWN_EVENTS)
self.setEventFilters(filters)
# if period is positive, set the filter and start
if period > 0:
self.insertEventFilter(self.__ONLY_OWN_EVENTS)
self._timer.start(period)
def _forceRead(self, cache=False):
"""Forces a read of the associated attribute.
:param cache: (bool) If True, the reading will be done with cache=True
but the timestamp of the resulting event will be replaced
by the current time. If False, no cache will be used at
all.
"""
value = self.getModelValueObj(cache=cache)
if cache and value is not None:
value = copy.copy(value)
value.time = TaurusTimeVal.now()
self.fireEvent(self, TaurusEventType.Periodic, value)
def __ONLY_OWN_EVENTS(self, s, t, v):
"""An event filter that rejects all events except those that originate
from this object
"""
if s is self:
return s, t, v
else:
return None
def _getCurvesOpts(self):
"""returns a list of serialized opts (one for each curve)"""
from taurus.qt.qtgui.tpg import serialize_opts
return [serialize_opts(copy.copy(c.opts)) for c in self._curves]
def _setCurvesOpts(self, all_opts):
"""restore options to curves"""
# If no curves are yet created, force a read to create them
if not self._curves:
self._forceRead(cache=True)
# Check consistency in the number of curves
if len(self._curves) != len(all_opts):
self.warning(
"Cannot apply curve options (mismatch in curves number)"
)
return
from taurus.qt.qtgui.tpg import deserialize_opts
for c, opts in zip(self._curves, all_opts):
c.opts = deserialize_opts(opts)
# This is a workaround for the following pyqtgraph's bug:
# https://github.com/pyqtgraph/pyqtgraph/issues/531
if opts["connect"] == "all":
c.opts["connect"] = "all"
elif opts["connect"] == "pairs":
c.opts["connect"] = "pairs"
elif opts["connect"] == "finite":
c.opts["connect"] = "finite"
def getFullModelNames(self):
"""
Return a tuple of (None, fullmodelname) for API compatibility with
:class:`TaurusPlotDataItem`.
"""
return (None, self.getFullModelName())
def setBufferSize(self, buffer_size):
"""sets the maximum number of points to store per trend curve
:param buffer_size: (int) max number of points to store per trend curve
"""
self._maxBufferSize = buffer_size
try:
if self._xBuffer is not None:
# discard oldest data if needed for downsizing
excess = len(self._xBuffer) - buffer_size
if excess > 0:
self._xBuffer.moveLeft(excess)
self._xBuffer.resizeBuffer(buffer_size)
# resize
self._xBuffer.setMaxSize(buffer_size)
if self._yBuffer is not None:
# discard oldest data if needed for downsizing
excess = len(self._yBuffer) - buffer_size
if excess > 0:
self._yBuffer.moveLeft(excess)
self._yBuffer.resizeBuffer(buffer_size)
# resize
self._yBuffer.setMaxSize(buffer_size)
except ValueError:
self.info(
"buffer downsizing requested."
+ "Current contents will be discarded"
)
self.clearBuffer()
def bufferSize(self):
"""returns the maximum number of points to be stored by the trends"""
return self._maxBufferSize
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
# initialization\
if self.__xBuffer is None:
self.__xBuffer = ArrayBuffer(numpy.zeros(min(
128, self.taurusparam.maxBufferSize), dtype='d'), maxSize=self.taurusparam.maxBufferSize)
if self.__yBuffer is None:
self.__yBuffer = ArrayBuffer(numpy.zeros(min(
128, self.taurusparam.maxBufferSize), dtype='d'), maxSize=self.taurusparam.maxBufferSize)
# update x values
if self.taurusparam.stackMode == 'datetime':
if self.__timeOffset is None:
self.__timeOffset = evt_value.time.totime()
if plot is not None:
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
self.__xBuffer.append(evt_value.time.totime())
elif self.taurusparam.stackMode == 'deltatime':
try:
self.__xBuffer.append(
evt_value.time.totime() - self.__timeOffset)
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Time since %s' %
evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
self.__xBuffer.append(self.__xBuffer[-1] + step)
except IndexError: # this will happen when the x buffer is empty
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
# update y
# TODO: Take units into account for displaying curves, axis, etc.
self.__yBuffer.append(evt_value.rvalue.magnitude)
# update the plot data
x, y = self.__xBuffer.contents(), self.__yBuffer.contents()
self.set_data(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.replot()
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
# initialization\
if self.__xBuffer is None:
self.__xBuffer = ArrayBuffer(
numpy.zeros(min(128, self.taurusparam.maxBufferSize),
dtype='d'),
maxSize=self.taurusparam.maxBufferSize)
if self.__yBuffer is None:
self.__yBuffer = ArrayBuffer(
numpy.zeros(min(128, self.taurusparam.maxBufferSize),
dtype='d'),
maxSize=self.taurusparam.maxBufferSize)
# update x values
if self.taurusparam.stackMode == 'datetime':
if self.__timeOffset is None:
self.__timeOffset = evt_value.time.totime()
if plot is not None:
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
self.__xBuffer.append(evt_value.time.totime())
elif self.taurusparam.stackMode == 'deltatime':
try:
self.__xBuffer.append(evt_value.time.totime() -
self.__timeOffset)
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title(
'bottom', 'Time since %s' % evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
self.__xBuffer.append(self.__xBuffer[-1] + step)
except IndexError: # this will happen when the x buffer is empty
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
# update y
# TODO: Take units into account for displaying curves, axis, etc.
self.__yBuffer.append(evt_value.rvalue.magnitude)
# update the plot data
x, y = self.__xBuffer.contents(), self.__yBuffer.contents()
self.set_data(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.replot()
class TaurusTrendItem(CurveItem, TaurusBaseComponent):
'''A CurveItem that listens to events from a Taurus scalar attribute and appends new values to it'''
dataChanged = baseSignal('dataChanged')
scrollRequested = baseSignal('scrollRequested', object, object, object)
def __init__(self, curveparam=None, taurusparam=None):
CurveItem.__init__(self, curveparam=curveparam)
TaurusBaseComponent.__init__(self, self.__class__.__name__)
self.__xBuffer = None
self.__yBuffer = None
self.__timeOffset = None
if taurusparam is None:
taurusparam = TaurusTrendParam()
self.taurusparam = taurusparam
self.updateTaurusParams()
def setBufferSize(self, buffersize):
'''sets the size of the stack.
:param buffersize: (int) size of the stack
'''
self.taurusparam.maxBufferSize = buffersize
try:
if self.__xBuffer is not None:
self.__xBuffer.setMaxSize(buffersize)
if self.__yBuffer is not None:
self.__yBuffer.setMaxSize(buffersize)
except ValueError:
self.info(
'buffer downsizing requested. Current contents will be discarded')
self.__xBuffer = None
self.__yBuffer = None
def setModel(self, model):
# do the standard stuff
TaurusBaseComponent.setModel(self, model)
# update the taurusparam
self.taurusparam.model = self.getModelName()
#... and fire a fake event for initialization
try:
value = self.getModelObj().read()
self.fireEvent(
self, taurus.core.taurusbasetypes.TaurusEventType.Change, value)
except:
pass
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
# initialization\
if self.__xBuffer is None:
self.__xBuffer = ArrayBuffer(numpy.zeros(min(
128, self.taurusparam.maxBufferSize), dtype='d'), maxSize=self.taurusparam.maxBufferSize)
if self.__yBuffer is None:
self.__yBuffer = ArrayBuffer(numpy.zeros(min(
128, self.taurusparam.maxBufferSize), dtype='d'), maxSize=self.taurusparam.maxBufferSize)
# update x values
if self.taurusparam.stackMode == 'datetime':
if self.__timeOffset is None:
self.__timeOffset = evt_value.time.totime()
if plot is not None:
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
self.__xBuffer.append(evt_value.time.totime())
elif self.taurusparam.stackMode == 'deltatime':
try:
self.__xBuffer.append(
evt_value.time.totime() - self.__timeOffset)
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Time since %s' %
evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
self.__xBuffer.append(self.__xBuffer[-1] + step)
except IndexError: # this will happen when the x buffer is empty
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
# update y
# TODO: Take units into account for displaying curves, axis, etc.
self.__yBuffer.append(evt_value.rvalue.magnitude)
# update the plot data
x, y = self.__xBuffer.contents(), self.__yBuffer.contents()
self.set_data(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.replot()
def get_item_parameters(self, itemparams):
CurveItem.get_item_parameters(self, itemparams)
itemparams.add("TaurusParam", self, self.taurusparam)
def updateTaurusParams(self):
self.taurusparam.update_curve(self)
def set_item_parameters(self, itemparams):
CurveItem.set_item_parameters(self, itemparams)
self.updateTaurusParams()
def empty_data(nb_points):
return ArrayBuffer(numpy.full(nb_points, numpy.nan))
class TaurusTrendItem(CurveItem, TaurusBaseComponent):
'''A CurveItem that listens to events from a Taurus scalar attribute and appends new values to it'''
dataChanged = baseSignal('dataChanged')
scrollRequested = baseSignal('scrollRequested', object, object, object)
def __init__(self, curveparam=None, taurusparam=None):
CurveItem.__init__(self, curveparam=curveparam)
TaurusBaseComponent.__init__(self, self.__class__.__name__)
self.__xBuffer = None
self.__yBuffer = None
self.__timeOffset = None
if taurusparam is None:
taurusparam = TaurusTrendParam()
self.taurusparam = taurusparam
self.updateTaurusParams()
def setBufferSize(self, buffersize):
'''sets the size of the stack.
:param buffersize: (int) size of the stack
'''
self.taurusparam.maxBufferSize = buffersize
try:
if self.__xBuffer is not None:
self.__xBuffer.setMaxSize(buffersize)
if self.__yBuffer is not None:
self.__yBuffer.setMaxSize(buffersize)
except ValueError:
self.info(
'buffer downsizing requested. Current contents will be discarded'
)
self.__xBuffer = None
self.__yBuffer = None
def setModel(self, model):
# do the standard stuff
TaurusBaseComponent.setModel(self, model)
# update the taurusparam
self.taurusparam.model = self.getModelName()
#... and fire a fake event for initialization
try:
value = self.getModelObj().read()
self.fireEvent(self,
taurus.core.taurusbasetypes.TaurusEventType.Change,
value)
except:
pass
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
# initialization\
if self.__xBuffer is None:
self.__xBuffer = ArrayBuffer(
numpy.zeros(min(128, self.taurusparam.maxBufferSize),
dtype='d'),
maxSize=self.taurusparam.maxBufferSize)
if self.__yBuffer is None:
self.__yBuffer = ArrayBuffer(
numpy.zeros(min(128, self.taurusparam.maxBufferSize),
dtype='d'),
maxSize=self.taurusparam.maxBufferSize)
# update x values
if self.taurusparam.stackMode == 'datetime':
if self.__timeOffset is None:
self.__timeOffset = evt_value.time.totime()
if plot is not None:
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
self.__xBuffer.append(evt_value.time.totime())
elif self.taurusparam.stackMode == 'deltatime':
try:
self.__xBuffer.append(evt_value.time.totime() -
self.__timeOffset)
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title(
'bottom', 'Time since %s' % evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
self.__xBuffer.append(self.__xBuffer[-1] + step)
except IndexError: # this will happen when the x buffer is empty
self.__xBuffer.append(0)
if plot is not None:
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
# update y
# TODO: Take units into account for displaying curves, axis, etc.
self.__yBuffer.append(evt_value.rvalue.magnitude)
# update the plot data
x, y = self.__xBuffer.contents(), self.__yBuffer.contents()
self.set_data(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.replot()
def get_item_parameters(self, itemparams):
CurveItem.get_item_parameters(self, itemparams)
itemparams.add("TaurusParam", self, self.taurusparam)
def updateTaurusParams(self):
self.taurusparam.update_curve(self)
def set_item_parameters(self, itemparams):
CurveItem.set_item_parameters(self, itemparams)
self.updateTaurusParams()
class TaurusTrend2DScanItem(TaurusTrend2DItem):
_xDataKey = 'point_nb'
def __init__(self, channelKey, xDataKey, door, param=None, buffersize=512):
TaurusTrend2DItem.__init__(self,
param=param,
buffersize=buffersize,
stackMode=None)
self._channelKey = channelKey
self._xDataKey = xDataKey
self.connectWithQDoor(door)
def scanDataReceived(self, packet):
'''
packet is a dict with {type:str, "data":object} and the accepted types are: data_desc, record_data, record_end
and the data objects are: seq<ColumnDesc.Todict()>, record.data dict and dict , respectively
'''
if packet is None:
self.debug('Ignoring empty scan data packet')
return
id, packet = packet
pcktype = packet.get("type", "__UNKNOWN_PCK_TYPE__")
if pcktype == "data_desc":
self._dataDescReceived(packet["data"])
elif pcktype == "record_data":
self._scanLineReceived(packet["data"])
elif pcktype == "record_end":
pass
else:
self.debug("Ignoring packet of type %s" % repr(pcktype))
def clearTrend(self):
self._yValues = None
self._xBuffer = None
self._zBuffer = None
def _dataDescReceived(self, datadesc):
'''prepares the plot according to the info in the datadesc dictionary'''
self.clearTrend()
# decide which data to use for x
if self._xDataKey is None or self._xDataKey == "<mov>":
self._autoXDataKey = datadesc['ref_moveables'][0]
elif self._xDataKey == "<idx>":
self._autoXDataKey = 'point_nb'
else:
self._autoXDataKey = self._xDataKey
# set the x axis
columndesc = datadesc.get('column_desc', [])
xinfo = {'min_value': None, 'max_value': None}
for e in columndesc:
if e['label'] == self._autoXDataKey:
xinfo = e
break
plot = self.plot()
plot.set_axis_title('bottom', self._autoXDataKey)
xmin, xmax = xinfo.get('min_value'), xinfo.get('max_value')
if xmin is None or xmax is None:
pass # @todo: autoscale if any limit is unknown
else:
plot.set_axis_limits('bottom', xmin, xmax)
def _scanLineReceived(self, recordData):
'''Receives a recordData dictionary and updates the curves associated to it
.. seealso:: <Sardana>/MacroServer/scan/scandata.py:Record.data
'''
# obtain the x value
try:
xval = recordData[self._autoXDataKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring',
self._autoXDataKey)
return
if not numpy.isscalar(xval):
self.warning(
'Data for "%s" is of type "%s". Cannot use it for the X values. Ignoring',
self._autoXDataKey, type(xval))
return
# obtain y value
try:
chval = recordData[self._channelKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring',
self._channelKey)
if chval.shape != self._yValues.shape:
self.warning('Incompatible shape of "%s" (%s). Ignoring',
self._channelKey, repr(chval.shape))
return
# initialization
if self._yValues is None:
self._yValues = numpy.arange(chval.size, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(min(
16, self.maxBufferSize),
dtype='d'),
maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(16, self.maxBufferSize), chval.size), dtype='d'),
maxSize=self.maxBufferSize)
# update x
self._xBuffer.append(xval)
# update z
self._zBuffer.append(chval)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# update the plot data
lut_range = self.get_lut_range(
) # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
plot = self.plot()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
def connectWithQDoor(self, doorname):
'''connects this TaurusTrend2DScanItem to a QDoor
:param doorname: (str) the QDoor name
'''
qdoor = taurus.Device(doorname)
qdoor.recordDataUpdated.connect(self.scanDataReceived)
def getModel(self):
return self.__model
def setModel(self, model):
self.__model = model
def _scanLineReceived(self, recordData):
'''Receives a recordData dictionary and updates the curves associated to it
.. seealso:: <Sardana>/MacroServer/scan/scandata.py:Record.data
'''
# obtain the x value
try:
xval = recordData[self._autoXDataKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring',
self._autoXDataKey)
return
if not numpy.isscalar(xval):
self.warning(
'Data for "%s" is of type "%s". Cannot use it for the X values. Ignoring',
self._autoXDataKey, type(xval))
return
# obtain y value
try:
chval = recordData[self._channelKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring',
self._channelKey)
if chval.shape != self._yValues.shape:
self.warning('Incompatible shape of "%s" (%s). Ignoring',
self._channelKey, repr(chval.shape))
return
# initialization
if self._yValues is None:
self._yValues = numpy.arange(chval.size, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(min(
16, self.maxBufferSize),
dtype='d'),
maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(16, self.maxBufferSize), chval.size), dtype='d'),
maxSize=self.maxBufferSize)
# update x
self._xBuffer.append(xval)
# update z
self._zBuffer.append(chval)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# update the plot data
lut_range = self.get_lut_range(
) # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
plot = self.plot()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
class TaurusTrend2DItem(XYImageItem, TaurusBaseComponent):
"""
A XYImageItem that is constructed by stacking 1D arrays from events from
a Taurus 1D attribute
"""
scrollRequested = baseSignal('scrollRequested', object, object, object)
dataChanged = baseSignal('dataChanged')
def __init__(self, param=None, buffersize=512, stackMode='datetime'):
"""
:param param: param to be passed to XYImageItem constructor
:param buffersize: (int) size of the stack
:param stackMode: (str) can be 'datetime', 'timedelta' or 'event'
"""
XYImageItem.__init__(self,
numpy.arange(2),
numpy.arange(2),
numpy.zeros((2, 2)),
param=param)
TaurusBaseComponent.__init__(self, self.__class__.__name__)
self.maxBufferSize = buffersize
self._yValues = None
self._xBuffer = None
self._zBuffer = None
self.stackMode = stackMode
self.set_interpolation(INTERP_NEAREST)
self.__timeOffset = None
# Config properties
self.registerConfigProperty(self.get_lut_range, self.set_lut_range,
'lut_range')
self.registerConfigProperty(self._get_interpolation_cfg,
self._set_interpolation_cfg,
'interpolation')
self.registerConfigProperty(self.get_color_map_name,
self.set_color_map, 'color_map')
def _get_interpolation_cfg(self):
ret = self.get_interpolation()
if len(ret) == 2:
ret = (ret[0], len(ret[1]))
return ret
def _set_interpolation_cfg(self, interpolate_cfg):
self.set_interpolation(*interpolate_cfg)
def setBufferSize(self, buffersize):
'''sets the size of the stack
:param buffersize: (int) size of the stack
'''
self.maxBufferSize = buffersize
try:
if self._xBuffer is not None:
self._xBuffer.setMaxSize(buffersize)
if self._zBuffer is not None:
self._zBuffer.setMaxSize(buffersize)
except ValueError:
self.info(
'buffer downsizing requested. Current contents will be discarded'
)
self._xBuffer = None
self._zBuffer = None
def setModel(self, model):
# do the standard stuff
TaurusBaseComponent.setModel(self, model)
#... and fire a fake event for initialization
try:
value = self.getModelObj().read()
self.fireEvent(self,
taurus.core.taurusbasetypes.TaurusEventType.Change,
value)
except:
pass
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
if plot is None:
return
# initialization
ySize = len(evt_value.rvalue)
if self._yValues is None:
self._yValues = numpy.arange(ySize, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(min(
128, self.maxBufferSize),
dtype='d'),
maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(128, self.maxBufferSize), ySize), dtype='d'),
maxSize=self.maxBufferSize)
return
# check that new data is compatible with previous data
if ySize != self._yValues.size:
self.info(
'Incompatible shape in data from event (orig=%i, current=%i). Ignoring'
% (self._yValues.size, ySize))
return
# update x values
if self.stackMode == 'datetime':
x = evt_value.time.totime()
if self.__timeOffset is None:
self.__timeOffset = x
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'deltatime':
try:
x = evt_value.time.totime() - self.__timeOffset
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
x = 0
plot.set_axis_title(
'bottom', 'Time since %s' % evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'event':
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
x = self._xBuffer[-1] + step
except IndexError: # this will happen when the x buffer is empty
x = 0
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
else:
raise ValueError('Unsupported stack mode %s' % self.stackMode)
if len(self._xBuffer) and x <= self._xBuffer[-1]:
self.info('Ignoring event (non-increasing x value)')
return
self._xBuffer.append(x)
# update z
rvalue = evt_value.rvalue
if isinstance(evt_value.rvalue, Quantity):
rvalue = evt_value.rvalue.magnitude
# TODO: units should be checked for coherence with previous values
self._zBuffer.append(rvalue)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# Use previous LUT range (z axis range), or set to None (autoscale)
# if it is uninitialized
lut_range = self.get_lut_range()
if lut_range[0] == lut_range[1]:
lut_range = None
# update the plot data
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
if plot is None:
return
# initialization
ySize = len(evt_value.rvalue)
if self._yValues is None:
self._yValues = numpy.arange(ySize, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(min(
128, self.maxBufferSize),
dtype='d'),
maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(128, self.maxBufferSize), ySize), dtype='d'),
maxSize=self.maxBufferSize)
return
# check that new data is compatible with previous data
if ySize != self._yValues.size:
self.info(
'Incompatible shape in data from event (orig=%i, current=%i). Ignoring'
% (self._yValues.size, ySize))
return
# update x values
if self.stackMode == 'datetime':
x = evt_value.time.totime()
if self.__timeOffset is None:
self.__timeOffset = x
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'deltatime':
try:
x = evt_value.time.totime() - self.__timeOffset
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
x = 0
plot.set_axis_title(
'bottom', 'Time since %s' % evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'event':
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
x = self._xBuffer[-1] + step
except IndexError: # this will happen when the x buffer is empty
x = 0
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
else:
raise ValueError('Unsupported stack mode %s' % self.stackMode)
if len(self._xBuffer) and x <= self._xBuffer[-1]:
self.info('Ignoring event (non-increasing x value)')
return
self._xBuffer.append(x)
# update z
rvalue = evt_value.rvalue
if isinstance(evt_value.rvalue, Quantity):
rvalue = evt_value.rvalue.magnitude
# TODO: units should be checked for coherence with previous values
self._zBuffer.append(rvalue)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# Use previous LUT range (z axis range), or set to None (autoscale)
# if it is uninitialized
lut_range = self.get_lut_range()
if lut_range[0] == lut_range[1]:
lut_range = None
# update the plot data
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
def _scanLineReceived(self, recordData):
'''Receives a recordData dictionary and updates the curves associated to it
.. seealso:: <Sardana>/MacroServer/scan/scandata.py:Record.data
'''
# obtain the x value
try:
xval = recordData[self._autoXDataKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring', self._autoXDataKey)
return
if not numpy.isscalar(xval):
self.warning('Data for "%s" is of type "%s". Cannot use it for the X values. Ignoring',
self._autoXDataKey, type(xval))
return
# obtain y value
try:
chval = recordData[self._channelKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring', self._channelKey)
if chval.shape != self._yValues.shape:
self.warning('Incompatible shape of "%s" (%s). Ignoring',
self._channelKey, repr(chval.shape))
return
# initialization
if self._yValues is None:
self._yValues = numpy.arange(chval.size, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(
min(16, self.maxBufferSize), dtype='d'), maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(16, self.maxBufferSize), chval.size), dtype='d'), maxSize=self.maxBufferSize)
# update x
self._xBuffer.append(xval)
# update z
self._zBuffer.append(chval)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# update the plot data
lut_range = self.get_lut_range() # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
plot = self.plot()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
class TaurusTrend2DScanItem(TaurusTrend2DItem):
_xDataKey = 'point_nb'
def __init__(self, channelKey, xDataKey, door, param=None, buffersize=512):
TaurusTrend2DItem.__init__(
self, param=param, buffersize=buffersize, stackMode=None)
self._channelKey = channelKey
self._xDataKey = xDataKey
self.connectWithQDoor(door)
def scanDataReceived(self, packet):
'''
packet is a dict with {type:str, "data":object} and the accepted types are: data_desc, record_data, record_end
and the data objects are: seq<ColumnDesc.Todict()>, record.data dict and dict , respectively
'''
if packet is None:
self.debug('Ignoring empty scan data packet')
return
id, packet = packet
pcktype = packet.get("type", "__UNKNOWN_PCK_TYPE__")
if pcktype == "data_desc":
self._dataDescReceived(packet["data"])
elif pcktype == "record_data":
self._scanLineReceived(packet["data"])
elif pcktype == "record_end":
pass
else:
self.debug("Ignoring packet of type %s" % repr(pcktype))
def clearTrend(self):
self._yValues = None
self._xBuffer = None
self._zBuffer = None
def _dataDescReceived(self, datadesc):
'''prepares the plot according to the info in the datadesc dictionary'''
self.clearTrend()
# decide which data to use for x
if self._xDataKey is None or self._xDataKey == "<mov>":
self._autoXDataKey = datadesc['ref_moveables'][0]
elif self._xDataKey == "<idx>":
self._autoXDataKey = 'point_nb'
else:
self._autoXDataKey = self._xDataKey
# set the x axis
columndesc = datadesc.get('column_desc', [])
xinfo = {'min_value': None, 'max_value': None}
for e in columndesc:
if e['label'] == self._autoXDataKey:
xinfo = e
break
plot = self.plot()
plot.set_axis_title('bottom', self._autoXDataKey)
xmin, xmax = xinfo.get('min_value'), xinfo.get('max_value')
if xmin is None or xmax is None:
pass # @todo: autoscale if any limit is unknown
else:
plot.set_axis_limits('bottom', xmin, xmax)
def _scanLineReceived(self, recordData):
'''Receives a recordData dictionary and updates the curves associated to it
.. seealso:: <Sardana>/MacroServer/scan/scandata.py:Record.data
'''
# obtain the x value
try:
xval = recordData[self._autoXDataKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring', self._autoXDataKey)
return
if not numpy.isscalar(xval):
self.warning('Data for "%s" is of type "%s". Cannot use it for the X values. Ignoring',
self._autoXDataKey, type(xval))
return
# obtain y value
try:
chval = recordData[self._channelKey]
except KeyError:
self.warning(
'Cannot find data "%s" in the current scan record. Ignoring', self._channelKey)
if chval.shape != self._yValues.shape:
self.warning('Incompatible shape of "%s" (%s). Ignoring',
self._channelKey, repr(chval.shape))
return
# initialization
if self._yValues is None:
self._yValues = numpy.arange(chval.size, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(
min(16, self.maxBufferSize), dtype='d'), maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(16, self.maxBufferSize), chval.size), dtype='d'), maxSize=self.maxBufferSize)
# update x
self._xBuffer.append(xval)
# update z
self._zBuffer.append(chval)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
# update the plot data
lut_range = self.get_lut_range() # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
plot = self.plot()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
def connectWithQDoor(self, doorname):
'''connects this TaurusTrend2DScanItem to a QDoor
:param doorname: (str) the QDoor name
'''
qdoor = taurus.Device(doorname)
qdoor.recordDataUpdated.connect(self.scanDataReceived)
def getModel(self):
return self.__model
def setModel(self, model):
self.__model = model
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
if plot is None:
return
# initialization
ySize = len(evt_value.rvalue)
if self._yValues is None:
self._yValues = numpy.arange(ySize, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(
min(128, self.maxBufferSize), dtype='d'), maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(128, self.maxBufferSize), ySize), dtype='d'), maxSize=self.maxBufferSize)
return
# check that new data is compatible with previous data
if ySize != self._yValues.size:
self.info('Incompatible shape in data from event (orig=%i, current=%i). Ignoring' % (
self._yValues.size, ySize))
return
# update x values
if self.stackMode == 'datetime':
x = evt_value.time.totime()
if self.__timeOffset is None:
self.__timeOffset = x
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'deltatime':
try:
x = evt_value.time.totime() - self.__timeOffset
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
x = 0
plot.set_axis_title('bottom', 'Time since %s' %
evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
x = self._xBuffer[-1] + step
except IndexError: # this will happen when the x buffer is empty
x = 0
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
if len(self._xBuffer) and x <= self._xBuffer[-1]:
self.info('Ignoring event (non-increasing x value)')
return
self._xBuffer.append(x)
# update z
rvalue = evt_value.rvalue
if isinstance(evt_value.rvalue, Quantity):
rvalue = evt_value.rvalue.magnitude
# TODO: units should be checked for coherence with previous values
self._zBuffer.append(rvalue)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
if x.size == 2:
plot.set_axis_limits('left', y.min(), y.max())
# guess the max of the scale allowed by the buffer
xmax = x[0] + (x[1] - x[0]) * self.maxBufferSize
plot.set_axis_limits('bottom', x.min(), xmax)
# update the plot data
lut_range = self.get_lut_range() # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
class TaurusTrend2DItem(XYImageItem, TaurusBaseComponent):
'''A XYImageItem that is constructed by stacking 1D arrays from events from a Taurus 1D attribute'''
scrollRequested = baseSignal('scrollRequested', object, object, object)
dataChanged = baseSignal('dataChanged')
def __init__(self, param=None, buffersize=512, stackMode='datetime'):
XYImageItem.__init__(self, numpy.arange(2), numpy.arange(
2), numpy.zeros((2, 2)), param=param)
TaurusBaseComponent.__init__(self, self.__class__.__name__)
self.maxBufferSize = buffersize
self._yValues = None
self._xBuffer = None
self._zBuffer = None
self.stackMode = stackMode
self.set_interpolation(INTERP_NEAREST)
self.__timeOffset = None
def setBufferSize(self, buffersize):
'''sets the size of the stack
:param buffersize: (int) size of the stack
'''
self.maxBufferSize = buffersize
try:
if self._xBuffer is not None:
self._xBuffer.setMaxSize(buffersize)
if self._zBuffer is not None:
self._zBuffer.setMaxSize(buffersize)
except ValueError:
self.info(
'buffer downsizing requested. Current contents will be discarded')
self._xBuffer = None
self._zBuffer = None
def setModel(self, model):
# do the standard stuff
TaurusBaseComponent.setModel(self, model)
#... and fire a fake event for initialization
try:
value = self.getModelObj().read()
self.fireEvent(
self, taurus.core.taurusbasetypes.TaurusEventType.Change, value)
except:
pass
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
if plot is None:
return
# initialization
ySize = len(evt_value.rvalue)
if self._yValues is None:
self._yValues = numpy.arange(ySize, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(
min(128, self.maxBufferSize), dtype='d'), maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(128, self.maxBufferSize), ySize), dtype='d'), maxSize=self.maxBufferSize)
return
# check that new data is compatible with previous data
if ySize != self._yValues.size:
self.info('Incompatible shape in data from event (orig=%i, current=%i). Ignoring' % (
self._yValues.size, ySize))
return
# update x values
if self.stackMode == 'datetime':
x = evt_value.time.totime()
if self.__timeOffset is None:
self.__timeOffset = x
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'deltatime':
try:
x = evt_value.time.totime() - self.__timeOffset
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
x = 0
plot.set_axis_title('bottom', 'Time since %s' %
evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
x = self._xBuffer[-1] + step
except IndexError: # this will happen when the x buffer is empty
x = 0
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
if len(self._xBuffer) and x <= self._xBuffer[-1]:
self.info('Ignoring event (non-increasing x value)')
return
self._xBuffer.append(x)
# update z
rvalue = evt_value.rvalue
if isinstance(evt_value.rvalue, Quantity):
rvalue = evt_value.rvalue.magnitude
# TODO: units should be checked for coherence with previous values
self._zBuffer.append(rvalue)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
if x.size == 2:
plot.set_axis_limits('left', y.min(), y.max())
# guess the max of the scale allowed by the buffer
xmax = x[0] + (x[1] - x[0]) * self.maxBufferSize
plot.set_axis_limits('bottom', x.min(), xmax)
# update the plot data
lut_range = self.get_lut_range() # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.dataChanged.emit()
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.scrollRequested.emit(plot, axis, value)
plot.update_colormap_axis(self)
plot.replot()
class TaurusTrend2DItem(XYImageItem, TaurusBaseComponent):
'''A XYImageItem that is constructed by stacking 1D arrays from events from a Taurus 1D attribute'''
def __init__(self, param=None, buffersize=512, stackMode='datetime'):
XYImageItem.__init__(self,
numpy.arange(2),
numpy.arange(2),
numpy.zeros((2, 2)),
param=param)
TaurusBaseComponent.__init__(self, self.__class__.__name__)
self._signalGen = Qt.QObject()
self.maxBufferSize = buffersize
self._yValues = None
self._xBuffer = None
self._zBuffer = None
self.stackMode = stackMode
self.set_interpolation(INTERP_NEAREST)
self.__timeOffset = None
def getSignaller(self):
'''reimplemented from TaurusBaseComponent because TaurusImageItem is
not (and cannot be) a QObject'''
return self._signalGen
def setBufferSize(self, buffersize):
'''sets the size of the stack
:param buffersize: (int) size of the stack
'''
self.maxBufferSize = buffersize
try:
if self._xBuffer is not None:
self._xBuffer.setMaxSize(buffersize)
if self._zBuffer is not None:
self._zBuffer.setMaxSize(buffersize)
except ValueError:
self.info(
'buffer downsizing requested. Current contents will be discarded'
)
self._xBuffer = None
self._zBuffer = None
def setModel(self, model):
# do the standard stuff
TaurusBaseComponent.setModel(self, model)
#... and fire a fake event for initialization
try:
value = self.getModelObj().read()
self.fireEvent(self,
taurus.core.taurusbasetypes.TaurusEventType.Change,
value)
except:
pass
def handleEvent(self, evt_src, evt_type, evt_value):
if evt_value is None or getattr(evt_value, 'rvalue', None) is None:
self.debug('Ignoring event from %s' % repr(evt_src))
return
plot = self.plot()
if plot is None:
return
# initialization
ySize = len(evt_value.rvalue)
if self._yValues is None:
self._yValues = numpy.arange(ySize, dtype='d')
if self._xBuffer is None:
self._xBuffer = ArrayBuffer(numpy.zeros(min(
128, self.maxBufferSize),
dtype='d'),
maxSize=self.maxBufferSize)
if self._zBuffer is None:
self._zBuffer = ArrayBuffer(numpy.zeros(
(min(128, self.maxBufferSize), ySize), dtype='d'),
maxSize=self.maxBufferSize)
return
# check that new data is compatible with previous data
if ySize != self._yValues.size:
self.info(
'Incompatible shape in data from event (orig=%i, current=%i). Ignoring'
% (self._yValues.size, ySize))
return
# update x values
if self.stackMode == 'datetime':
x = evt_value.time.totime()
if self.__timeOffset is None:
self.__timeOffset = x
plot.set_axis_title('bottom', 'Time')
plot.set_axis_unit('bottom', '')
elif self.stackMode == 'deltatime':
try:
x = evt_value.time.totime() - self.__timeOffset
except TypeError: # this will happen if self.__timeOffset has not been initialized
self.__timeOffset = evt_value.time.totime()
x = 0
plot.set_axis_title(
'bottom', 'Time since %s' % evt_value.time.isoformat())
plot.set_axis_unit('bottom', '')
else:
try:
# +numpy.random.randint(0,4) #for debugging we can put a variable step
step = 1
x = self._xBuffer[-1] + step
except IndexError: # this will happen when the x buffer is empty
x = 0
plot.set_axis_title('bottom', 'Event #')
plot.set_axis_unit('bottom', '')
if len(self._xBuffer) and x <= self._xBuffer[-1]:
self.info('Ignoring event (non-increasing x value)')
return
self._xBuffer.append(x)
# update z
rvalue = evt_value.rvalue
if isinstance(evt_value.rvalue, Quantity):
rvalue = evt_value.rvalue.magnitude
# TODO: units should be checked for coherence with previous values
self._zBuffer.append(rvalue)
# check if there is enough data to start plotting
if len(self._xBuffer) < 2:
self.info('waiting for at least 2 values to start plotting')
return
x = self._xBuffer.contents()
y = self._yValues
z = self._zBuffer.contents().transpose()
if x.size == 2:
plot.set_axis_limits('left', y.min(), y.max())
# guess the max of the scale allowed by the buffer
xmax = x[0] + (x[1] - x[0]) * self.maxBufferSize
plot.set_axis_limits('bottom', x.min(), xmax)
# update the plot data
lut_range = self.get_lut_range(
) # this is the range of the z axis (color scale)
if lut_range[0] == lut_range[1]:
# if the range was not set, make it None (autoscale z axis)
lut_range = None
self.set_data(z, lut_range=lut_range)
self.set_xy(x, y)
# signal data changed and replot
self.getSignaller().emit(Qt.SIGNAL('dataChanged'))
if plot is not None:
value = x[-1]
axis = self.xAxis()
xmin, xmax = plot.get_axis_limits(axis)
if value > xmax or value < xmin:
self.getSignaller().emit(Qt.SIGNAL('scrollRequested'), plot,
axis, value)
plot.update_colormap_axis(self)
plot.replot()
