Source code for taurus.qt.qtgui.qwt5.taurustrend

#!/usr/bin/env python

# This file is part of Taurus
# Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain
# Taurus is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# Taurus is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# GNU Lesser General Public License for more details.
# You should have received a copy of the GNU Lesser General Public License
# along with Taurus.  If not, see <>.

""" Generic trend widget for Taurus

from __future__ import print_function
from builtins import str

from datetime import datetime
import time
import numpy
import re
import gc
import weakref
from functools import partial
from taurus.external.qt import Qt, Qwt5

import taurus.core
from taurus.core.taurusattribute import TaurusAttribute
from taurus.core.util.containers import CaselessDict, CaselessList, ArrayBuffer
from taurus.qt.qtgui.base import TaurusBaseComponent
from taurus.qt.qtgui.qwt5 import TaurusPlot

__all__ = ["ScanTrendsSet", "TaurusTrend", "TaurusTrendsSet"]

def getArchivedTrendValues(*args, **kwargs):
        import PyTangoArchiving  # TODO: tango-centric
        return PyTangoArchiving.getArchivedTrendValues(*args, **kwargs)
        return []

def stripShape(s):
    returns a shape (a list) based on the given one. The returned shape will
    have all dimensions with length 1 removed, and it will be a list regardless
    of the input shape
    return [e for e in s if e != 1]

[docs]class TaurusTrendsSet(Qt.QObject, TaurusBaseComponent): """A collection of TaurusCurves generated from a Taurus Attribute. If the attribute is a scalar, The Trend Set consists of only one curve representing the evolution of the value of the attribute. If the attribute is a SPECTRUM, as many curves as the length of the spectrum 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 objects can be considered as containers of (sorted) curves. As such, the curves contained by them can be accessed with item notation, as in the following example:: attrname = 'a/b/c/d' #consider this attribute is a SPECTRUM of 3 elements ts=TaurusTrendSet(attrname) ... # wait for a Taurus Event arriving so that the curves are created ncurves = len(ts) #ncurves will be 3 (assuming the event already arrived) curve0 = ts[0] #you can access the curve by index curve1 = ts['a/b/c/d[1]'] #and also by name Note that internally each curve is treated as a RawData curve (i.e., it is not aware of events by itself, but it relies on the TaurusTrendSet object to update its values) """ consecutiveDroppedEventsWarning = 3 # number consecutive of dropped events before issuing a warning (-1 for disabling) # absolute number of dropped events before issuing a warning (-1 for # disabling) droppedEventsWarning = -1 dataChanged = Qt.pyqtSignal('QString') def __init__(self, name, parent=None, curves=None): Qt.QObject.__init__(self, parent) self.call__init__(TaurusBaseComponent, self.__class__.__name__) self._xBuffer = None self._yBuffer = None self.forcedReadingTimer = None self.droppedEventsCount = 0 self.consecutiveDroppedEventsCount = 0 self.compiledTitle = name try: self._maxBufferSize = self.parent().getMaxDataBufferSize() except: self._maxBufferSize = TaurusTrend.DEFAULT_MAX_BUFFER_SIZE if curves is None: self._curves = {} self._orderedCurveNames = [] else: self._curves = curves self._orderedCurveNames = list(curves) self._titleText = None self.setModel(name) def __getitem__(self, key): if isinstance(key, int): key = self._orderedCurveNames[key] return self._curves[key] def __len__(self): return len(self._orderedCurveNames) def __contains__(self, k): return self._curves.__contains__(k)
[docs] def index(self, curveName): '''Returns the index in the trend for the given curve name. It gives an exception if the curve is not in the set. :param curveName: (str) the curvename to find :return: (int) The index associated to the given curve in the TrendSet ''' return self.getCurveNames().index(curveName)
[docs] def setTitleText(self, basetitle): '''Sets the title text of the trends this trendset. The name will be constructed by appending "[%i]" to the basetitle, where %i is the index position of the trend in the trendset. As a particular case, nothing is appended if the trendset consists of only one trend. :param basetitle: (str) The title text to use as a base for constructing the title of each trend belonging to this trendset. It may contain placeholders as those used in :meth:`TaurusCurve.setTitleText` .. seealso:: :meth:`TaurusCurve.setTitleText` ''' self._titleText = basetitle titles = self.compileTitles(basetitle) for t, (n, c) in zip(titles, self.getCurves()): c.setTitleText(t)
[docs] def compileTitles(self, basetitle): '''Return a list of titles. Each title corresponds to a trend of the trendset (ordered). Substitution of known placeholders is performed. :param basetitle: (str) A string to be used as base title. It may contain any of the following placeholders (which will be substituted by their corresponding value): - <label> the attribute label (default) - <model> the model name - <attr_name> attribute name - <attr_fullname> full attribute name (for backwards compatibility, <attr_full_name> is also accepted) - <dev_alias> device alias - <dev_name> device name - <dev_fullname> full device name (for backwards compatibility, <dev_full_name> is also accepted) - <current_title> The current title - <trend_index> The index of the trend in the trendset - <[trend_index]> Same as: `"[<trend_index>]" if Ntrends>1 else ""` :return: (string_list) a list of title strings that correspond to the list of trends in the set. .. seealso:: :meth:`compileBaseTitle` ''' basetitle = self.compileBaseTitle(basetitle) ntrends = len(self._curves) if '<trend_index>' in basetitle: ret = [basetitle.replace('<trend_index>', "%i" % i) for i in range(ntrends)] else: ret = [basetitle] * ntrends return ret
[docs] def compileBaseTitle(self, basetitle): '''Return a base tile for a trend in whichs substitution of known placeholders has been performed. :param basetitle: (str) String on which the substitutions will be performed. The following placeholders are supported: - <label> the attribute label (default) - <model> the model name - <attr_name> attribute name - <attr_fullname> full attribute name (for backwards compatibility, <attr_full_name> is also accepted) - <dev_alias> device alias - <dev_name> device name - <dev_fullname> full device name (for backwards compatibility, <dev_full_name> is also accepted) - <current_title> The current title - <[trend_index]> Same as: `"[<trend_index>]" if Ntrends>1 else ""` **Note** that <trend_index> itself is not substituted! :return: (str) the compiled base title. .. seealso:: :meth:`compileTitles` ''' attr = self.getModelObj() basetitle = basetitle.replace('<current_title>', self._titleText) basetitle = basetitle.replace('<model>', self.getModel()) if isinstance(attr, taurus.core.taurusattribute.TaurusAttribute): basetitle = basetitle.replace('<label>', attr.label or '---') basetitle = basetitle.replace( '<attr_name>', attr.getSimpleName() or '---') basetitle = basetitle.replace( '<attr_fullname>', attr.getFullName() or '---') basetitle = basetitle.replace( '<attr_full_name>', attr.getFullName() or '---') dev = attr.getParentObj() if dev is not None: basetitle = basetitle.replace( '<dev_alias>', dev.getSimpleName() or '---') basetitle = basetitle.replace( '<dev_name>', dev.getNormalName() or '---') basetitle = basetitle.replace( '<dev_fullname>', dev.getFullName() or '---') basetitle = basetitle.replace( '<dev_full_name>', dev.getFullName() or '---') if len(self._curves) == 1: basetitle = basetitle.replace('<[trend_index]>', '') else: basetitle = basetitle.replace('<[trend_index]>', '[<trend_index>]') self.compiledTitle = basetitle return basetitle
[docs] def addCurve(self, name, curve): '''add a curve (with the given name) to the internal curves dictionary of this TaurusTrendSet :param name: (str) the name of the curve :param curve: (TaurusCurve) the curve object to be added ''' # provide the curve with a weakref to the trendset (the owner) curve.owner = weakref.proxy(self) self._curves[name] = curve self._orderedCurveNames.append(name)
[docs] def getCurves(self): '''returns an iterator of (curveName,curveObject) tuples associated to this TaurusTrendSet. The curves will always be returned in the order they were added to the set :return: (iterator<str,TaurusCurve>) ''' return iter([(n, self._curves[n]) for n in self._orderedCurveNames])
[docs] def getCurveNames(self): '''returns a list of the names of the curves associated to this TaurusTrendSet. The curve names will always be returned in the order they were added to the set :return: (list<str>) the names of the curves ''' return self._orderedCurveNames
[docs] def getModelClass(self): '''see :meth:`TaurusBaseComponent.getModelClass`''' return TaurusAttribute
[docs] def registerDataChanged(self, listener, meth): '''see :meth:`TaurusBaseComponent.registerDataChanged`''' self.dataChanged.connect(meth)
[docs] def unregisterDataChanged(self, listener, meth): '''see :meth:`TaurusBaseComponent.unregisterDataChanged`''' self.dataChanged.disconnect(meth)
def _updateHistory(self, model, value): '''Update the history data buffers using the latest value from the event :param model: (str) the source of the event (needed to retrieve data from archiving) :param value: (TaurusAttrValue) the value from the event :return: (tuple<numpy.ndarray, numpy.ndarray>) Tuple of two arrays containing the X data and Y data, respectively, from the history buffers: - The dtype of both arrays is "double". - The X array will contain timestamps if the parent is in XisTime mode, and a sequential event number otherwise. - The Y array may be two-dimensional if the attribute value is a spectrum **Example of return values:** Consider history of 10 events for a SPECTRUM attribute with dim_x=8. Then the return value will be (X,Y) where X.shape=(10,) and Y.shape=(10,8); X.dtype = Y.dtype = <dtype('float64')> ''' attr = self.getModelObj() if value is not None: if attr.isNumeric(): v = value.rvalue.magnitude # TODO: check unit consistency else: v = value.rvalue if numpy.isscalar(v): ntrends = 1 else: try: v = float(v) ntrends = 1 except: try: # Trying with spectrums ntrends = len(v) except: # Simply unreadable value = None ntrends = len(self._curves) else: ntrends = len(self._curves) if self._xBuffer is None: self._xBuffer = ArrayBuffer(numpy.zeros( min(128, self._maxBufferSize), dtype='d'), maxSize=self._maxBufferSize) if self._yBuffer is None: self._yBuffer = ArrayBuffer(numpy.zeros( (min(128, self._maxBufferSize), ntrends), dtype='d'), maxSize=self._maxBufferSize) if value is not None: if attr.isNumeric(): v = value.rvalue.magnitude else: v = value.rvalue try: self._yBuffer.append(v) except Exception as e: self.warning('Problem updating history (%s=%s):%s', model, v, e) value = None if self.parent().getXIsTime(): # add the timestamp to the x buffer if value is not None: self._xBuffer.append(value.time.totime()) # Adding archiving values if self.parent().getUseArchiving(): # open a mysql connection for online trends or any not # autoscaled plots if self.parent().getXDynScale() or not self.parent().axisAutoScale(Qwt5.QwtPlot.xBottom): try: getArchivedTrendValues(self, model, insert=True) except Exception as e: import traceback self.warning('%s: reading from archiving failed: %s' % ('_'), traceback.format_exc())) elif value is not None: # add the event number to the x buffer try: self._xBuffer.append(1. + self._xBuffer[-1]) except IndexError: # this will happen when the x buffer is empty self._xBuffer.append(0) return self._xBuffer.contents(), self._yBuffer.contents()
[docs] def clearTrends(self, replot=True): '''clears all stored data (buffers and copies of the curves data) :param replot: (bool) do a replot after clearing ''' # clean previous curves for subname in self.getCurveNames(): self.parent().detachRawData(subname) self._curves = {} self._orderedCurveNames = [] # clean history Buffers self._xBuffer = None self._yBuffer = None # clean x,ydata self._xValues = None self._yValues = None # replot if replot: self.parent().replot() # Force immediate garbage collection (otherwise the buffered data # remains in memory) gc.collect()
[docs] def handleEvent(self, evt_src, evt_type, evt_value): ''' processes Change (and Periodic) Taurus Events: updates the data of all curves in the set according to the value of the attribute. For documentation about the parameters of this method, see :meth:`TaurusBaseComponent.handleEvent` ''' if evt_type == taurus.core.taurusbasetypes.TaurusEventType.Config: # self.setTitleText(self._titleText or # self.parent().getDefaultCurvesTitle()) #this did not work well # (it overwrites custom titles!) return else: if isinstance(evt_src, TaurusAttribute): model = evt_src else: model = self.getModelObj() if evt_type == taurus.core.taurusbasetypes.TaurusEventType.Error: self._onDroppedEvent(reason='Error event') if not self.parent().getUseArchiving(): return else: value = None elif model is None: self._onDroppedEvent(reason='unknown model') if not self.parent().getUseArchiving(): return else: value = None else: value = evt_value if isinstance( evt_value, taurus.core.taurusbasetypes.TaurusAttrValue) else self.getModelValueObj() if value is None or value.rvalue is None: self._onDroppedEvent(reason='invalid value') if not self.parent().getUseArchiving(): return elif model.isNumeric(): if not hasattr(value.rvalue, 'magnitude'): self._onDroppedEvent(reason='rvalue has no .magnitude') return else: self._checkDataDimensions(value.rvalue.magnitude) else: self._checkDataDimensions(value.rvalue) # get the data from the event try: self._xValues, self._yValues = self._updateHistory( model=model or self.getModel(), value=value) except Exception as e: self._onDroppedEvent(reason=str(e)) raise # this was a good event, so we reset the consecutive dropped events # count self.consecutiveDroppedEventsCount = 0 # assign xvalues and yvalues to each of the curves in self._curves for i, (n, c) in enumerate(self.getCurves()): c._xValues, c._yValues = self._xValues, self._yValues[:, i] c._updateMarkers() self.dataChanged.emit(str(self.getModel()))
def _checkDataDimensions(self, value): ''' Check that the data dimensions are consistent with what was plotted before ''' if value is None: return len(self._curves) try: float(value) ntrends = 1 except: ntrends = len(value) if ntrends != len(self._curves): # clean previous curves self.clearTrends(replot=False) # create as many curves as the dim_x of the given model and add # them to the TrendSet name = self.getModelName() rawdata = {'x': numpy.zeros(0), 'y': numpy.zeros(0)} for i in range(ntrends): subname = "%s[%i]" % (name, i) self.parent().attachRawData(rawdata, id=subname) self.addCurve(subname, self.parent().curves[subname]) self.setTitleText( self._titleText or self.parent().getDefaultCurvesTitle()) self.parent().autoShowYAxes() return ntrends def _onDroppedEvent(self, reason='Unknown'): '''inform the user about a dropped event :param reason: (str) The reason of the drop ''' self.debug("Dropping event. Reason %s", reason) self.droppedEventsCount += 1 self.consecutiveDroppedEventsCount += 1 mustwarn = False if self.droppedEventsCount == self.droppedEventsWarning: mustwarn = True msg = ('At least %i events from model "%s" have been dropped. This attribute may have problems\n' + 'Future occurrences will be silently ignored') % (self.droppedEventsWarning, self.modelName) # disable the consecutive Dropped events warning (we do not want it # if we got this one) self.consecutiveDroppedEventsWarning = -1 if self.consecutiveDroppedEventsCount == self.consecutiveDroppedEventsWarning: mustwarn = True msg = ('At least %i consecutive events from model "%s" have been dropped. This attribute may have problems\n' + 'Future occurrences will be silently ignored') % (self.consecutiveDroppedEventsWarning, self.modelName) # disable the consecutive Dropped events warning self.consecutiveDroppedEventsWarning = -1 if mustwarn: self.warning(msg) p = self.parent() if p: c = p.canvas() msg2 = "Errors reading %s (%s)" % ( self._titleText, self.modelName) Qt.QToolTip.showText(c.mapToGlobal(c.pos()), msg2, c) #Qt.QMessageBox.warning(p, "Errors in %s"%self._titleText, msg, Qt.QMessageBox.Ok)
[docs] def isReadOnly(self): return True
[docs] def setMaxDataBufferSize(self, maxSize): '''sets the maximum number of events that are stored in the internal buffers of the trend. Note that this sets the maximum amount of memory used by the data in this trend set to: ~(1+ntrends)*2*8*maxSize bytes (the data is stored as float64, and two copies of it are kept: one at the x and y buffers and another at the :param maxSize: (int) the maximum limit ''' if self._xBuffer is not None: self._xBuffer.setMaxSize(maxSize) if self._yBuffer is not None: self._yBuffer.setMaxSize(maxSize) self._maxBufferSize = maxSize
[docs] def maxDataBufferSize(self): return self._maxBufferSize
[docs] def setForcedReadingPeriod(self, msec): ''' Forces periodic reading of the subscribed attribute in order to show get new points even if no events are received. It will create fake events as needed with the read value. Note that setting a period may yield unwanted results when the x axis is set to show event numbers (xIsTime==False)since there is no way of distinguishing the real from the fake events. :param msec: (int) period in milliseconds. Use msec<0 to stop the forced periodic reading ''' if self.forcedReadingTimer is None: self.forcedReadingTimer = Qt.QTimer() self.forcedReadingTimer.timeout.connect(self.forceReading) # stop the timer and remove the __ONLY_OWN_EVENTS filter self.forcedReadingTimer.stop() filters = self.getEventFilters() if self.__ONLY_OWN_EVENTS in filters: filters.remove(self.__ONLY_OWN_EVENTS) self.setEventFilters(filters) # if msec is positive, set the filter and start if msec >= 0: self.insertEventFilter(self.__ONLY_OWN_EVENTS) self.forcedReadingTimer.start(msec)
[docs] def getForcedReadingPeriod(self): if self.forcedReadingTimer is None or not self.forcedReadingTimer.isActive(): return -1 else: return self.forcedReadingTimer.interval()
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
[docs] def forceReading(self, cache=False): '''Forces a read of the attribute and generates a fake event with it. By default it ignores the cache :param cache: (bool) set to True to do cache'd reading (by default is False) ''' vobj = self.getModelValueObj(cache=False) self.fireEvent( self, taurus.core.taurusbasetypes.TaurusEventType.Periodic, vobj)
[docs]class ScanTrendsSet(TaurusTrendsSet): """ An specialized TaurusTrendSet that instead of being updated via events, it receives new data directly via a PyQt slot receives signal containing record data from a scan. When an event is received, all curves belonging to a TaurusTrendSet are updated. Note that internally each curve is treated as a RawData curve (i.e., it is not aware of events by itself, but it relies on the ScanTrendSet object to update its values) .. seealso:: :class:`TaurusTrendSet` """ DEFAULT_X_DATA_KEY = 'point_nb' dataChanged = Qt.pyqtSignal('QString') def __init__(self, name, parent=None, autoClear=True, xDataKey=None): ''' Creator :param autoClear: (bool) If True, (default) :meth:`clearTrends` will be called every time a "data_desc" packet is received :param xDataKey: (str) a the name of the data to be used for the x value in the scan curves (e.g., a motor name, a counter name,...) By default, "point_nb" is used. The special key "__SCAN_TREND_INDEX__" will associate an internal integer index that starts in 0, increases on each record_data received and is reset by :meth:`clearTrends`. ''' TaurusTrendsSet.__init__(self, None, parent=parent, curves=None) self._xDataKey = xDataKey self._autoXDataKey = xDataKey self._autoClear = autoClear #self._usePointNumber = usePointNumber self._currentpoint = -1 self._plotablesFilter = lambda x: True self.__datadesc = None self._endMarkers = [] self.setModel(name) self._endMacroMarkerEnabled = True
[docs] def setAutoClear(self, enable): self._autoClear = enable
[docs] def setXDataKey(self, key): if key == self._xDataKey: return self._xDataKey = key self.clearTrends()
[docs] def setEndMacroMarkerEnabled(self, enable): '''Sets whether a marker should be put at the end of each macro or not :param enabled: (bool) ''' self._endMacroMarkerEnabled = enable
[docs] 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()>, dict and dict , respectively ''' if packet is None: self.debug('Ignoring empty scan data packet') return pkgid, 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": self._addEndMarker() else: self.debug("Ignoring packet of type %s" % repr(pcktype))
[docs] def clearTrends(self, replot=True): ''' Reimplemented from :meth:`TaurusTrendsSet.clearTrends`. .. note:: If the autoClear property is True for this trend set, this method is called automatically every time a data_desc package is received. ''' # clean the datadesc self.__datadesc = None # clean markers for m in self._endMarkers: m.detach() self._endMarkers = [] # reset current point counter self._currentpoint = -1 # call the superclass TaurusTrendsSet.clearTrends(self, replot=replot)
[docs] def onPlotablesFilterChanged(self, flt): ''' slot to be called whenever the plotables filter is changed. It will call :meth:`clearTrends` if flt is None :param flt: (list<method>) ''' if flt is None: self.clearTrends() else: self.setPlotablesFilter(flt)
[docs] def setPlotablesFilter(self, flt): self._plotablesFilter = flt
def _addEndMarker(self): if self._endMacroMarkerEnabled: m = Qwt5.QwtPlotMarker() m.setLineStyle(m.VLine) m.setXValue(self._currentpoint) m.attach(self.parent()) pen = Qt.QPen(Qt.Qt.DashLine) pen.setWidth(2) m.setLinePen(pen) self._endMarkers.append(m) self._currentpoint -= 1 self.parent().replot()
[docs] def getDataDesc(self): return self.__datadesc
def _dataDescReceived(self, datadesc): '''prepares the plot according to the info in the datadesc dictionary''' # backwards compatibility (datadesc was a list and now is a dict) if isinstance(datadesc, list): datadesc = {'column_desc': datadesc} # clear existing curves if required if self._autoClear: self.clearTrends() # decide which data to use for x if self._xDataKey is None or self._xDataKey == "<mov>": # @todo use a standard key for <mov> and <idx> try: self._autoXDataKey = datadesc['ref_moveables'][0] except (KeyError, IndexError): self._autoXDataKey = self.DEFAULT_X_DATA_KEY 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 self.parent().setAxisTitle(self.parent().xBottom, self._autoXDataKey) xmin, xmax = xinfo.get('min_value'), xinfo.get('max_value') self.parent().setXDynScale(False) if xmin is None or xmax is None: # autoscale if any limit is unknown self.parent().setAxisAutoScale(self.parent().xBottom) else: self.parent().setAxisScale(self.parent().xBottom, xmin, xmax) # create trends self._createTrends(datadesc["column_desc"]) def _createTrends(self, datadesc): ''' Creates the needed curves using the information from the DataDesc For now, it only creates trends for those "columns" containing scalar values :param datadesc: (seq<dict>) each dict is a ColumnDesc.toDict() ''' self.__datadesc = datadesc # create as many curves as columns containing scalars rawdata = {'x': numpy.zeros(0), 'y': numpy.zeros(0)} self.parent()._curvePens.setCurrentIndex(0) for dd in self.__datadesc: if len(stripShape(dd['shape'])) == 0: # an scalar name = dd["name"] if name not in self._curves and self._plotablesFilter(name) and name != self._autoXDataKey: rawdata["title"] = dd["label"] curve = self.parent().attachRawData(rawdata, id=name) prop = curve.getAppearanceProperties() prop.sColor = prop.lColor prop.sStyle = Qwt5.QwtSymbol.Ellipse prop.sSize = 7 prop.lWidth = 1 prop.lStyle = Qt.Qt.DotLine curve.setAppearanceProperties(prop) self.addCurve(name, curve) self.parent().autoShowYAxes() self.dataChanged.emit(str(self.getModel())) def _scanLineReceived(self, recordData): '''Receives a recordData dictionary and updates the curves associated to it .. seealso:: <Sardana>/MacroServer/scan/ ''' # obtain the x value if self._autoXDataKey == "__SCAN_TREND_INDEX__": self._currentpoint += 1 else: try: self._currentpoint = recordData[self._autoXDataKey] except KeyError: self.warning( 'Cannot find data "%s" in the current scan record. Ignoring' % self._autoXDataKey) return if not numpy.isscalar(self._currentpoint): self.warning('Data for "%s" is of type "%s". Cannot use it for the X values. Ignoring' % ( self._autoXDataKey, type(self._currentpoint))) return # If autoclear is True, we use buffers if self._autoClear: curvenames = self.getCurveNames() if self._xBuffer is None: self._xBuffer = ArrayBuffer(numpy.zeros( 128, dtype='d'), maxSize=self.maxDataBufferSize()) if self._yBuffer is None: self._yBuffer = ArrayBuffer(numpy.zeros( (128, len(curvenames)), dtype='d'), maxSize=self.maxDataBufferSize()) # x values self._xBuffer.append(self._currentpoint) # y values y = numpy.array([recordData.get(n, numpy.NaN) for n in curvenames]) self._yBuffer.append(y) self._xValues, self._yValues = self._xBuffer.contents(), self._yBuffer.contents() # assign xvalues and yvalues to each of the curves in self._curves for i, (n, c) in enumerate(self.getCurves()): c._xValues = self._xValues # this is an assigment by reference c._yValues = self._yValues[:, i] c._updateMarkers() # if autoclear is False we have to work directly with each curve (and # cannot buffer) else: for n, v in recordData.items(): c = self._curves.get(n, None) if c is None: continue c._xValues = numpy.append(c._xValues, self._currentpoint) c._yValues = numpy.append(c._yValues, v) c._updateMarkers() self.dataChanged.emit(str(self.getModel()))
[docs] def connectWithQDoor(self, qdoor): '''connects this ScanTrendsSet to a QDoor :param qdoor: (QDoor or str) either a QDoor instance or the QDoor name ''' from sardana.taurus.qt.qtcore.tango.sardana.macroserver import QDoor if not isinstance(qdoor, QDoor): qdoor = taurus.Device(qdoor) qdoor.recordDataUpdated.connect(self.scanDataReceived)
[docs] def disconnectQDoor(self, qdoor): '''connects this ScanTrendsSet to a QDoor :param qdoor: (QDoor or str) either a QDoor instance or the QDoor name ''' from sardana.taurus.qt.qtcore.tango.sardana.macroserver import QDoor if not isinstance(qdoor, QDoor): qdoor = taurus.Device(qdoor) qdoor.recordDataUpdated.disconnect(self.scanDataReceived)
[docs] def getModel(self): return self.__model
[docs] def setModel(self, model): self.__model = model
[docs]class TaurusTrend(TaurusPlot): ''' A :class:`TaurusPlot` -derived widget specialised in plotting trends (i.e., evolution of parameters). .. image:: /_static/taurustrend01.png :align: center TaurusTrend inherits all the features from TaurusPlot (zooming, exporting/importing, data inspection,...) and also provides some specific features (e.g. fixed-range X scale mode and Archiving support). For an overview of the features from an user point of view, see the :ref:`TaurusTrend User's Interface Guide <trend_ui>`. You can also see some code that exemplifies the use of TaurusTrend in :ref:`the TaurusTrend coding examples <examples_taurustrend>` Note: if you pass a model that is a 1D attribute (instead of a scalar), TaurusTrend will interpret it as a collection of scalar values and will plot a separate trend line for each. Note 2: As an special case, you can pass a model of the type scan://doorname. This will link the TaurusTrend to the given Taurus door and will listen to it for scan record events, which will be plotted. .. seealso:: :class:`TaurusPlot`, :ref:`TaurusTrend User's Interface Guide <trend_ui>`, :ref:`The TaurusTrend coding examples <examples_taurustrend>` ''' DEFAULT_MAX_BUFFER_SIZE = 65536 # (=2**16, i.e., 64K events)) dataChanged = Qt.pyqtSignal('QString') def __init__(self, parent=None, designMode=False): TaurusPlot.__init__(self, parent=parent, designMode=designMode) self.trendSets = CaselessDict() self._supportedConfigVersions = ["ttc-1"] self._xDynScaleSupported = True self._useArchiving = False self._usePollingBuffer = False self.setDefaultCurvesTitle('<label><[trend_index]>') self._maxDataBufferSize = self.DEFAULT_MAX_BUFFER_SIZE self.__qdoorname = None self._scansXDataKey = None self.__initActions() self._startingTime = time.time() self._archivingWarningLocked = False self._forcedReadingPeriod = None self._replotTimer = None self.setXIsTime(True) # Use a rotated labels x timescale by default rotation = -45 alignment = self.getDefaultAxisLabelsAlignment(self.xBottom, rotation) self.setAxisLabelRotation(self.xBottom, rotation) self.setAxisLabelAlignment(self.xBottom, alignment) # use dynamic scale by default self.setXDynScale(True) self._scrollStep = 0.2 def __initActions(self): '''Create TaurusTrend actions''' self._useArchivingAction = Qt.QAction("Use Archiver", None) self._useArchivingAction.setCheckable(True) self._useArchivingAction.setChecked(self.getUseArchiving()) self._useArchivingAction.toggled.connect(self._onUseArchivingAction) self._usePollingBufferAction = Qt.QAction("Use Polling Buffer", None) self._usePollingBufferAction.setCheckable(True) self._usePollingBufferAction.setChecked(self.getUsePollingBuffer()) self._usePollingBufferAction.toggled.connect(self.setUsePollingBuffer) self._setForcedReadingPeriodAction = Qt.QAction( "Set forced reading period...", None) self._setForcedReadingPeriodAction.triggered.connect( partial(self.setForcedReadingPeriod, msec=None, tsetnames=None)) self._clearBuffersAction = Qt.QAction("Clear Buffers", None) self._clearBuffersAction.triggered.connect(self.clearBuffers) self._setMaxBufferSizeAction = Qt.QAction( "Change buffers size...", None) self._setMaxBufferSizeAction.triggered.connect( partial(self.setMaxDataBufferSize, maxSize=None)) self._autoClearOnScanAction = Qt.QAction( "Auto-clear on new scans", None) self._autoClearOnScanAction.setCheckable(True) self._autoClearOnScanAction.setChecked(True) self._autoClearOnScanAction.toggled.connect(self._onAutoClearOnScanAction)
[docs] def isTimerNeeded(self, checkMinimized=True): '''checks if it makes sense to activate the replot timer. The following conditions must be met: - the replot timer must exist - the area of the plot must be non-zero - at least one trendset must be attached - the plot should be visible - the plot should not be minimized (unless checkMinimized=False) :param checkMinimized: (bool) whether to include the check of minimized (True by default) :return: (bool) ''' return self._replotTimer is not None and \ not self.size().isEmpty() and \ bool(len(self.trendSets)) and \ self.isVisible() and \ not (checkMinimized and self.isMinimized())
[docs] def showEvent(self, event): '''reimplemented from :meth:`TaurusPlot.showEvent` so that the replot timer is active only when needed''' TaurusPlot.showEvent(self, event) if self.isTimerNeeded(checkMinimized=False): self.debug('(re)starting the timer (in showEvent)') self._replotTimer.start() # call a replot now (since it may not have been done while hidden) self.doReplot()
[docs] def hideEvent(self, event): '''reimplemented from :meth:`TaurusPlot.showEvent` so that the replot timer is active only when needed''' TaurusPlot.hideEvent(self, event) if self._replotTimer is not None: self.debug('stopping the timer (in hideEvent)') self._replotTimer.stop()
[docs] def resizeEvent(self, event): '''reimplemented from :meth:`TaurusPlot.resizeEvent` so that the replot timer is active only when needed''' TaurusPlot.resizeEvent(self, event) if event.oldSize().isEmpty(): # do further checks only if previous size was 0 if self.isTimerNeeded(): self.debug('(re)starting the timer (in resizeEvent)') self._replotTimer.start() else: if self._replotTimer is not None: self.debug('stopping the timer (in resizeEvent)') self._replotTimer.stop()
[docs] def setXIsTime(self, enable, axis=Qwt5.QwtPlot.xBottom): '''Reimplemented from :meth:`TaurusPlot.setXIsTime`''' # set a reasonable scale if enable: self.setAxisScale(axis, self._startingTime - 60, self._startingTime) # Set a range of 1 min else: self.setAxisScale(axis, 0, 10) # Set a range of 10 events self.axisWidget(axis).scaleDivChanged.disconnect(self.rescheduleReplot) # disconnects the previous axis # enable/disable the archiving action self._useArchivingAction.setEnabled(enable) # call the parent class method # the axis is changed here TaurusPlot.setXIsTime(self, enable, axis=axis) # set the replot timer if needed if enable and not self._designMode: if self._replotTimer is None: self._dirtyPlot = True self._replotTimer = Qt.QTimer() self._replotTimer.timeout.connect(self.doReplot) self.rescheduleReplot(axis) self.axisWidget(axis).scaleDivChanged.connect(self.rescheduleReplot) # connects the new axis else: self._replotTimer = None
[docs] def onScanPlotablesFilterChanged(self, flt, scanname=None): if scanname is None: if self.__qdoorname is None: return scanname = "scan://%s" % self.__qdoorname tset = self.getTrendSet(scanname) tset.onPlotablesFilterChanged(flt)
[docs] def setScansAutoClear(self, enable): ''' sets whether the trend sets associated to scans should be reset every time a data_desc packet is received from the door. :param enable: (bool) .. seealso:: :meth:`setScanDoor` and :class:`ScanTrendsSet` ''' self._autoClearOnScanAction.setChecked(enable)
def _onAutoClearOnScanAction(self, enable, scanname=None):'Autoclear on Scan set to %s', bool(enable)) if scanname is None: if self.__qdoorname is None: return scanname = "scan://%s" % self.__qdoorname tset = self.getTrendSet(scanname) tset.setAutoClear(enable)
[docs] def getScansAutoClear(self): return self._autoClearOnScanAction.isChecked()
[docs] def setScansUsePointNumber(self, enable): ''' .. note:: This method is deprecated. Please use :meth:`setScansXDataKey` instead sets whether the trend sets associated to scans should use the point number from the data record for the abscissas (default). :param enable: (bool) ''' 'setScansUsePointNumber is deprecated. Please use setScansXDataKey instead') if enable: key = 'point_nb' else: key = '__SCAN_TREND_INDEX__' self.setScansXDataKey(key)
[docs] def setScansXDataKey(self, key, scanname=None): ''' selects the source for the data to be used as abscissas in the scan plot. :param key: (str) a string corresponding to a data label for data present in the scan. Alternatively, "__SCAN_TREND_INDEX__" can be used for an internal integer count of scan records :param scanname: (str or None) name of the model for the scan. If None, the default scan is selected .. seealso:: the constructor of :class:`ScanTrendsSet` ''' if scanname is None: if self.__qdoorname is None: return scanname = "scan://%s" % self.__qdoorname tset = self.getTrendSet(scanname) tset.setXDataKey(key) if key is None: key = '' self.setAxisTitle(self.xBottom, key) self._scansXDataKey = key
[docs] def setScanDoor(self, qdoorname): ''' sets the door to which TaurusTrend will listen for scans. This removes any previous scan set using this method, but respects scans set with setModel ''' if self.__qdoorname is not None: self.removeModels(["scan://%s" % self.__qdoorname]) self.addModels(["scan://%s" % qdoorname]) self.__qdoorname = qdoorname
[docs] def clearScan(self, scanname): '''resets the curves associated to the given scan :param scanname: (str) the scan model name (e.g. "scan://a/b/c") ''' tset = self.getTrendSet(scanname) tset.clearTrends()
[docs] def clearBuffers(self): '''clears the buffers of existing trend sets (note that this does not remove the models, it simply removes all stored data)''' self.curves_lock.acquire() try: for ts in self.trendSets.values(): ts.clearTrends(replot=False) finally: self.curves_lock.release() self.replot()
[docs] def updateCurves(self, names): '''Defines the curves that need to be plotted. For a TaurusTrend, the models can refer to: - scalar data: they are to be plotted in a trend - on-dimensional data: each element of the spectrum is considered independently Note that passing an attribute for X values makes no sense in this case Internally, every curve is grouped in a TaurusTrendSet. For each SPECTRUM attribute, a TrendSet is created, containing as many curves as the lenght of the spectrum For eacha SCALAR attribute, a TrendSet containing just one curve is created. :param names: (sequence<str>) a sequence of model names .. note:: Adding/removing a model will add/remove a whole set. No sub-set adding/removing is allowed. Still, each curve will be independent regarding its properties, and can be hidden/shown independently. .. seealso:: :meth:`TaurusPlot.updateCurves` ''' self.curves_lock.acquire() try: # For it to work properly, 'names' must be a CaselessList, just as # self.trendSets is a CaselessDict if not isinstance(names, CaselessList): names = CaselessList(names) del_sets = [name for name in self.trendSets.keys() if name not in names] # if all trends were removed, reset the color palette if len(del_sets) == len(self.trendSets): self._curvePens.setCurrentIndex(0) # update new/existing trendsets for name in names: name = str(name) if "|" in name: raise ValueError( 'composed ("X|Y") models are not supported by TaurusTrend') # create a new TrendSet if not already there if name not in self.trendSets: # check if the model name is of scan type and provides a # door matchScan ="scan:\/\/(.*)", name) if matchScan: tset = ScanTrendsSet(name, parent=self, autoClear=self.getScansAutoClear( ), xDataKey=self._scansXDataKey) self.__qdoorname = 1) # the name of the door tset.connectWithQDoor(self.__qdoorname) else: tset = TaurusTrendsSet(name, parent=self) if self._forcedReadingPeriod is not None: tset.setForcedReadingPeriod( self._forcedReadingPeriod) self.trendSets[name] = tset tset.registerDataChanged(self, self.curveDataChanged) # Trend Sets to be removed for name in del_sets: name = str(name) tset = self.trendSets.pop(name) tset.setModel(None) tset.unregisterDataChanged(self, self.curveDataChanged) tset.forcedReadingTimer = None tset.clearTrends(replot=False) matchScan ="scan:\/\/(.*)", name) if matchScan: olddoorname = tset.disconnectQDoor(olddoorname) if del_sets: self.autoShowYAxes() # legend self.showLegend(len(self.curves) > 1, forever=False) self.replot() # keep the replotting timer active only if there is something to # refresh if self.isTimerNeeded(): self.debug('(re)starting the timer (in updateCurves)') self._replotTimer.start() else: if self._replotTimer is not None: self.debug('stopping the timer (in updateCurves)') self._replotTimer.stop() finally: self.curves_lock.release()
[docs] def getTrendSetNames(self): '''returns the names of all TrendSets attached to this TaurusTrend. :return: (list<str>) a copy of self.trendSets.keys() ''' return self.getModel()
[docs] def getTrendSet(self, name): '''gets a trend set object by name. **Important**: Note that the TrendSet object is not thread safe. Therefore, if you access it you must do it protected by the TaurusTrend.curves_lock reentrant lock. :param name: (str) the trend set name :return: (TaurusTrendSet) the trend set object corresponding to name ''' self.curves_lock.acquire() try: ret = self.trendSets.get(str(name)) finally: self.curves_lock.release() return ret
[docs] def getCurveTitle(self, name, index=None): '''reimplemented from :class:`TaurusPlot`. Returns the title of a curve from a trendset :param name: (str) The name of the trendset. If the name is not a known trendset name and index is None, we will try with tsetname and index obtained from parsing the given name (assuming the format '<tsetname>[<index>]'). :param index: (int or None) the index of the curve in the trend set. If None is passed, it returns the base title of the trendset :return: (str) the title ''' self.curves_lock.acquire() try: tset = self.trendSets.get(name) if tset is None: # name not found... if index is None: # maybe name was actually a curve name including the index? match = re.match(r'^(.*)\[([0-9]+)\]$', name) if match: name, index = match.groups() index = int(index) # recursive call with parsed tsetname and index return self.getCurveTitle(name, index=index) return None if index is None: if len(tset) == 1: index = 0 else: return tset.compiledTitle title = str(tset[index].title().text()) finally: self.curves_lock.release() return title
[docs] def changeCurvesTitlesDialog(self, curveNamesList=None): '''Shows a dialog to set the curves titles (it will change the current curves titles and the default curves titles) :param curveNamesList: (string_sequence or string_iterator) names of the curves to which the title will be changed (if None given , it will apply to all the TrendsSets and it will also be used as default for newly created ones) :return: (caselessDict<str,str> or None) The return value will be `None` if `curveNamesList` is None. Otherwise it will be a dictionary with key=curvename and value=newtitle. .. seealso:: :meth:`setCurvesTitle`, :meth:`setDefaultCurvesTitle` ''' newTitlesDict = None placeholders = ['<label>', '<model>', '<attr_name>', '<attr_fullname>', '<dev_alias>', '<dev_name>', '<dev_fullname>', '<current_title>', '<trend_index>', '<[trend_index]>'] try: current = placeholders.index(self._defaultCurvesTitle) items = placeholders except: current = len(placeholders) items = placeholders + [self._defaultCurvesTitle] msg = 'New text to be used for the curves.\nYou can use any of the following placeholders:\n%s' % ", ".join( placeholders) titletext, ok = Qt.QInputDialog.getItem( self, 'New Title for Curves', msg, items, current, True) if ok: titletext = str(titletext) if curveNamesList is None: self.setDefaultCurvesTitle(titletext) self.setTrendSetsTitles(titletext) else: self.curves_lock.acquire() try: newTitlesDict = CaselessDict() for curveName in curveNamesList: curvetitle = titletext for ts in self.trendSets.values(): if curveName in ts: curvetitle = ts.compileBaseTitle(curvetitle) curvetitle = curvetitle.replace( '<trend_index>', "%i" % ts.index(curveName)) break curve = self.curves.get(curveName) curve.setTitleText(curvetitle) newTitlesDict[curveName] = curve.title().text() self.updateLegend(self.legend()) return newTitlesDict finally: self.curves_lock.release() return newTitlesDict
[docs] def setTrendSetsTitles(self, basetitle, setNames=None): '''Calls setTitleText(basetitle) for each Trend Set set in setNames :param basetitle: (str) the base title :param setNames: (sequence<str> or iterator<str>) names of the sets to be changed See: TaurusTrendsSet.setTitleText ''' self.curves_lock.acquire() try: if setNames is None: setNames = self.getModel() for tname in setNames: if tname in self.trendSets: self.trendSets[tname].setTitleText(basetitle) finally: self.curves_lock.release() self.updateLegend(self.legend())
@Qt.pyqtSlot('QString', name='dataChanged')
[docs] def curveDataChanged(self, name): '''slot that is called whenever a curve emits a dataChanged signal :emits: "dataChanged(const QString &)" :param name: (str) curve name ''' name = str(name) self.curves_lock.acquire() try: curve = None for n, curve in self.trendSets[name].getCurves(): curve.setData(curve._xValues, curve._yValues) # self._zoomer.setZoomBase() # keep the scale width constant, but translate it to get the last # value if curve is not None and self.getXDynScale() and len(curve._xValues) > 0: sdiv = self.axisScaleDiv(self.xBottom) currmin, currmax = sdiv.lowerBound(), sdiv.upperBound() datamax = curve._xValues[-1] if datamax > currmax or datamax < currmin: minstep = datamax - currmax # the new scale max must be above the latest point maxstep = datamax - currmin # the new scale min must be below the latest point step = min(max(self.getXAxisRange() * self._scrollStep, minstep), maxstep) self.setAxisScale( self.xBottom, currmin + step, currmax + step) finally: self.curves_lock.release() self.dataChanged.emit(str(name)) if not self.xIsTime: self.replot() else: self._dirtyPlot = True
[docs] def doReplot(self): '''calls :meth:`replot` only if there is new data to be plotted''' #self.trace('Replotting? %s',self._dirtyPlot) if self._dirtyPlot: self.replot() self._dirtyPlot = False
[docs] def rescheduleReplot(self, axis=Qwt5.QwtPlot.xBottom, width=1080): '''calculates the replotting frequency based on the time axis range. It assumes that it is unnecessary to replot with a period less than the time per pixel. :param axis: (Qwt5.QwtPlot.Axis) the axis to which it should associate :param width: (int) the approx canvas width (in pixels). The exact value could be obtained from the widget, but an order of magnitude approximation is usually ok (and cheaper). The default value is 1080 (HD ready!) ''' if self.xIsTime: sdiv = self.axisScaleDiv(axis) currmin, currmax = sdiv.lowerBound(), sdiv.upperBound() plot_refresh = int(1000 * (currmax - currmin) / width) # enforce limits plot_refresh = min((max((plot_refresh, 250)), 1800000)) if self._replotTimer.interval() != plot_refresh: # note: calling QTimer.setInterval() very often seems to eventually trigger some bug # that stops the timer from emitting the timeout signal. We avoid this by # calling setInterval only when really needed. self._replotTimer.setInterval(plot_refresh) self.debug('New replot period is %1.2f seconds', (plot_refresh / 1000.)) else: self.warning( 'rescheduleReplot() called but X axis is not in time mode')
[docs] def setPaused(self, paused=True): '''Pauses itself and other listeners (e.g. the trendsets) depending on it .. seealso:: :meth:`TaurusBaseComponent.setPaused` ''' for ts in self.trendSets.values(): ts.setPaused(paused) self._isPaused = paused
[docs] def createConfig(self, tsnames=None, **kwargs): '''Returns a pickable dictionary containing all relevant information about the current plot. For Taurus attributes it stores the attribute name and the curve properties For raw data curves, it stores the data as well. Hint: The following code allows you to serialize the configuration dictionary as a string (which you can store as a QSetting, or as a Taurus Attribute):: import pickle c = pickle.dumps(taurusplot.createConfig()) #c is a string that can be stored :param names: (sequence<str>) a sequence of TrendSet names for which the configuration will be stored (all by default). :return: (dict) configurations (which can be loaded with applyConfig) ''' configdict = TaurusPlot.createConfig( self, curvenames=None) # use the superclass configdict as a starting point if tsnames is None: tsnames = CaselessList(self.getModel()) model = CaselessList([m for m in self.getModel() if m in tsnames]) # overwrite the value created by TaurusPlot.createConfig() configdict["model"] = model # delete the TangoCurves key since it is meaningless in a TaurusTrend configdict.pop("TangoCurves") tsetsdict = CaselessDict() rawdatadict = CaselessDict(configdict["RawData"]) miscdict = CaselessDict(configdict["Misc"]) miscdict["ForcedReadingPeriod"] = self.getForcedReadingPeriod() miscdict["MaxBufferSize"] = self.getMaxDataBufferSize() self.curves_lock.acquire() try: for tsname, ts in self.trendSets.items(): if tsname in tsnames: # store a dict containing just model names (key and value # are the same) tsetsdict[tsname] = tsname for cname in CaselessList(ts.getCurveNames()): # clean the rawdatadict of rawdata curves that come from # trendsets (but we keep the properties!) rawdatadict.pop(cname) finally: self.curves_lock.release() configdict["TrendSets"] = tsetsdict configdict["RawData"] = rawdatadict configdict["Misc"] = miscdict return configdict
[docs] def applyConfig(self, configdict, **kwargs): """applies the settings stored in a configdict to the current plot. :param configdict: (dict) .. seealso:: :meth:`createConfig` """ if not self.checkConfigVersion(configdict): return # set the max Buffer data size (we do it before ataching the curves to # avoid useless reallocations of buffers) maxBufferSize = configdict["Misc"].get("MaxBufferSize") if maxBufferSize is not None: self.setMaxDataBufferSize(maxBufferSize) # attach the curves for rd in configdict["RawData"].values(): self.attachRawData(rd) # for backwards compatibility, if the ordered list of models is not # stored, it uses the unsorted dict values models = configdict.get("model", list(configdict["TrendSets"].values())) self.addModels(models) for m in models: tset = self.trendSets[m] # a fake event to force generating the curves tset.fireEvent( None, taurus.core.taurusbasetypes.TaurusEventType.Change, None) # set curve properties self.setCurveAppearanceProperties(configdict["CurveProp"]) self.updateLegend(force=True) # set the axes self.applyAxesConfig(configdict["Axes"]) # set other misc configurations self.applyMiscConfig(configdict["Misc"]) forcedreadingperiod = configdict["Misc"].get("ForcedReadingPeriod") if forcedreadingperiod is not None: self.setForcedReadingPeriod(forcedreadingperiod)
[docs] def getQtDesignerPluginInfo(cls): """Returns pertinent information in order to be able to build a valid QtDesigner widget plugin :return: (dict) a map with pertinent designer information""" return { 'module': 'taurus.qt.qtgui.qwt5', 'group': 'Taurus Display', 'icon': 'designer:qwtplot.png', 'container': False}
[docs] def setEventFilters(self, filters=None, tsetnames=None, preqt=False): '''propagates a list of taurus filters to the trendsets given by tsetnames. See :meth:`TaurusBaseComponent.setEventFilters` ''' if tsetnames is None: tsetnames = self.getModel() self.curves_lock.acquire() try: for name in tsetnames: self.trendSets[name].setEventFilters(filters, preqt=preqt) finally: self.curves_lock.release()
[docs] def setUsePollingBuffer(self, enable): '''enables/disables looking up in the PollingBuffer for data :param enable: (bool) if True, PollingBuffer values will be used if available ''' self._usePollingBuffer = enable self.replot()
[docs] def getUsePollingBuffer(self): '''whether TaurusTrend is looking for data in the PollingBuffer :return: (bool) .. seealso:: :meth:`setUsePollingBuffer` ''' return self._usePollingBuffer
[docs] def resetUsePollingBuffer(self): '''Same as setUsePollingBuffer(True)''' self.setUsePollingBuffer(True)
[docs] def setUseArchiving(self, enable): '''enables/disables looking up in the archiver for data stored before the Trend was started :param enable: (bool) if True, archiving values will be used if available ''' if not self.getXIsTime():'ignoring setUseArchiving. Reason: not in X time scale') self._useArchivingAction.setChecked(enable)
[docs] def getUseArchiving(self): '''whether TaurusTrend is looking for data in the archiver when needed :return: (bool) .. seealso:: :meth:`setUseArchiving` ''' return self._useArchiving
[docs] def resetUseArchiving(self): '''Same as setUseArchiving(True)''' self.setUseArchiving(True)
def _onUseArchivingAction(self, enable): '''slot being called when toggling the useArchiving action .. seealso:: :meth:`setUseArchiving` ''' if enable: self._archivingWarningThresshold = self._startingTime - \ 600 # 10 min before the widget was created self.axisWidget(self.xBottom).scaleDivChanged.connect(self._scaleChangeWarning) else: self.axisWidget(self.xBottom).scaleDivChanged.disconnect(self._scaleChangeWarning) self._archivingWarningThresshold = None self._useArchiving = enable self.replot() def _scaleChangeWarning(self): '''slot that may be called when the x axis changes the scale''' sdiv = self.axisScaleDiv(self.xBottom) smin = sdiv.lowerBound() if smin < self._archivingWarningThresshold: self.showArchivingWarning() # lower the thresshold by twice the current range self._archivingWarningThresshold = smin - 2 * sdiv.range()
[docs] def showArchivingWarning(self): '''shows a dialog warning of the potential isuues with archiving performance. It offers the user to disable archiving retrieval''' # stop the scale change notification temporally (to avoid duplicate # warnings) self.setUseArchiving(False) try: self.axisWidget(self.xBottom).scaleDivChanged.disconnect( self._scaleChangeWarning) except: self.warning('Failed to disconnect ScaleChangeWarning dialog') # show a dialog dlg = Qt.QDialog(self) dlg.setModal(True) dlg.setLayout(Qt.QVBoxLayout()) dlg.setWindowTitle('Archiving warning') msg = 'Archiving retrieval is enabled.\n' +\ 'Rescaling to previous date/times may cause performance loss.\n' +\ '\nDisable archiving retrieval?\n' dlg.layout().addWidget(Qt.QLabel(msg)) rememberCB = Qt.QCheckBox('Do not ask again') buttonbox = Qt.QDialogButtonBox() buttonbox.addButton(Qt.QPushButton( '&Keep enabled'), buttonbox.RejectRole) buttonbox.addButton(Qt.QPushButton('&Disable'), buttonbox.AcceptRole) dlg.layout().addWidget(buttonbox) buttonbox.accepted.connect(dlg.accept) buttonbox.rejected.connect(dlg.reject) dlg.layout().addWidget(rememberCB) dlg.exec_() # disable archiving if the user said so if dlg.result() == dlg.Accepted: self.setUseArchiving(False) # restore the scale change notification only if the user chose to keep # archiving AND did not want to disable warnings else: self.setUseArchiving(True) if not rememberCB.isChecked(): self.axisWidget(self.xBottom).scaleDivChanged.connect(self._scaleChangeWarning)
[docs] def setMaxDataBufferSize(self, maxSize=None): '''sets the maximum number of events that can be plotted in the trends :param maxSize: (int or None) the maximum limit. If None is passed, the user is prompted for a value. .. seealso:: :meth:`TaurusTrendSet.setMaxDataBufferSize` ''' if maxSize is None: maxSize = self._maxDataBufferSize try: # API changed in QInputDialog since Qt4.4 qgetint = Qt.QInputDialog.getInt except AttributeError: qgetint = Qt.QInputDialog.getInteger maxSize, ok = qgetint(self, 'New buffer data size', 'Enter the number of points to be kept in memory for each curve', maxSize, 2, 10000000, 1000) if not ok: return choiceOnClear = None self.curves_lock.acquire() try: for n, ts in self.trendSets.items(): try: ts.setMaxDataBufferSize(maxSize) except ValueError: if choiceOnClear is None: choiceOnClear = Qt.QMessageBox.question( self, "Clear buffers?", "Clear the curves that contain too many points for the selected buffer size?", Qt.QMessageBox.No | Qt.QMessageBox.Yes) if choiceOnClear == Qt.QMessageBox.Yes: ts.clearTrends(replot=False) ts.setMaxDataBufferSize(maxSize) finally: self.curves_lock.release() self._maxDataBufferSize = maxSize
[docs] def getMaxDataBufferSize(self): '''returns the maximum number of events that can be plotted in the trend :return: (int) ''' return self._maxDataBufferSize
[docs] def resetMaxDataBufferSize(self): '''Same as setMaxDataBufferSize(self.DEFAULT_MAX_BUFFER_SIZE)''' self.setMaxDataBufferSize(self.DEFAULT_MAX_BUFFER_SIZE)
def _canvasContextMenu(self): ''' see :meth:`TaurusPlot._canvasContextMenu` ''' menu = TaurusPlot._canvasContextMenu(self) menu.insertAction(self._setCurvesTitleAction, self._useArchivingAction) menu.insertAction(self._setCurvesTitleAction, self._usePollingBufferAction) menu.insertAction(self._setCurvesTitleAction, self._setForcedReadingPeriodAction) menu.insertAction(self._setCurvesTitleAction, self._setMaxBufferSizeAction) menu.insertAction(self._setCurvesTitleAction, self._clearBuffersAction) if self.__qdoorname is not None: menu.insertAction(self._setCurvesTitleAction, self._autoClearOnScanAction) return menu def _axisContextMenu(self, axis=None): ''' see :meth:`TaurusPlot._axisContextMenu` ''' menu = TaurusPlot._axisContextMenu(self, axis=axis) if axis in (Qwt5.QwtPlot.xBottom, Qwt5.QwtPlot.xTop) and self.__qdoorname is not None: menu.addAction('Source of X values...', self.onChangeXDataKeyAction) return menu
[docs] def onChangeXDataKeyAction(self): options = ['[Auto Selection]', '[Internal Scan Index]'] if self.__qdoorname is not None: scanname = "scan://%s" % self.__qdoorname tset = self.getTrendSet(scanname) datadesc = tset.getDataDesc() if datadesc is not None: for dd in datadesc: if len(stripShape(dd['shape'])) == 0: # an scalar options.append(dd["label"]) key, ok = Qt.QInputDialog.getItem(self, 'X data source selection', 'Which data is to be used for the abscissas in scans?', options, 0, True) if ok: key = str(key) if key == options[0]: key = None elif key == options[1]: key = '__SCAN_TREND_INDEX__' self.setScansXDataKey(key, scanname)
[docs] def setForcedReadingPeriod(self, msec=None, tsetnames=None): '''Sets the forced reading period for the trend sets given by tsetnames. :param msec: (int or None) period in milliseconds. If None passed, the user will be prompted :param tsetnames: (seq<str> or None) names of the curves for which the forced reading is set. If None passed, this will be set for all present *and future* curves added to this trend .. seealso: :meth:`TaurusTrendSet.setForcedReadingPeriod` ''' if msec is None: msec = self._forcedReadingPeriod try: # API changed in QInputDialog since Qt4.4 qgetint = Qt.QInputDialog.getInt except AttributeError: qgetint = Qt.QInputDialog.getInteger msec, ok = qgetint(self, 'New forced reading period', 'Enter the new period for forced reading (in ms).\n Enter "0" for disabling', max(0, msec), 0, 604800000, 100) if not ok: return if msec == 0: msec = -1 self._forcedReadingPeriod = msec if tsetnames is None: tsetnames = self.getModel() self.curves_lock.acquire() try: for name in tsetnames: self.trendSets[name].setForcedReadingPeriod(msec) finally: self.curves_lock.release()
[docs] def getForcedReadingPeriod(self, tsetname=None): '''returns the forced reading period for the given trend (or the general period if None is given) :param tsetname: (str or None) name of the trend set for which the forced reading should be returned. If None passed, the default period for all curves is returned .. seealso: :meth:`setForcedReadingPeriod` ''' if tsetname is None: return self._forcedReadingPeriod else: self.curves_lock.acquire() try: return self.trendSets[tsetname].getForcedReadingPeriod() finally: self.curves_lock.release()
[docs] def resetForcedReadingPeriod(self): '''Equivalent to setForcedReadingPeriod(msec=-1, tsetnames=None)''' self.setForcedReadingPeriod(msec=-1, tsetnames=None)
[docs] def setScrollStep(self, scrollStep): ''' Sets the scroll step when in Dynamic X mode. This is used to avoid excessive replotting, which may be a problem when plotting a lot of points. :param scrollStep: (float) portion of the current range that will be added when scrolling. For example, 0.1 means that 10% of the current range will be added when scrolling. A value of 0 means that no extra space will be added (thus the scroll is not in "steps"). Large scroll steps mean rough scrolls, but also less CPU usage. .. seealso:: :meth:`setXDynScale` ''' self._scrollStep = scrollStep
[docs] def getScrollStep(self): '''returns the value of the scroll step :return: (float) ''' return self._scrollStep
[docs] def resetScrollStep(self): '''equivalent to setScrollStep(0.2)''' self.setScrollStep(0.2)
useArchiving = Qt.pyqtProperty( "bool", getUseArchiving, setUseArchiving, resetUseArchiving) usePollingBuffer = Qt.pyqtProperty( "bool", getUsePollingBuffer, setUsePollingBuffer, resetUsePollingBuffer) maxDataBufferSize = Qt.pyqtProperty( "int", getMaxDataBufferSize, setMaxDataBufferSize, resetMaxDataBufferSize) scrollstep = Qt.pyqtProperty( "double", getScrollStep, setScrollStep, resetScrollStep) forcedReadingPeriod = Qt.pyqtProperty( "int", getForcedReadingPeriod, setForcedReadingPeriod, resetForcedReadingPeriod)
def test(): import sys import taurus.qt.qtgui.application app = taurus.qt.qtgui.application.TaurusApplication() w = Qt.QWidget() w.setLayout(Qt.QVBoxLayout()) s = Qt.QSplitter() w.layout().addWidget(s) t = TaurusTrend() l = Qt.QLabel('asdasdasdasdasd') s.addWidget(l) s.addWidget(t) s.setSizes([1, 0]) t.setModel(['bl97/pc/dummy-01/voltage']) sys.exit(app.exec_()) def main(): import sys import taurus.qt.qtgui.application import taurus.core.util.argparse parser = taurus.core.util.argparse.get_taurus_parser() parser.set_usage("%prog [options] [<model1> [<model2>] ...]") parser.set_description("a taurus application for plotting trends") parser.add_option("-x", "--x-axis-mode", dest="x_axis_mode", default='t', metavar="t|e", help="interprete X values as either timestamps (t) or event numbers (e). Accepted values: t|e") parser.add_option("-b", "--buffer", dest="max_buffer_size", default=TaurusTrend.DEFAULT_MAX_BUFFER_SIZE, help="maximum number of values per curve to be plotted (default = %i) (when reached, the oldest values will be discarded)" % TaurusTrend.DEFAULT_MAX_BUFFER_SIZE) parser.add_option("--config", "--config-file", dest="config_file", default=None, help="use the given config file for initialization") parser.add_option("--export", "--export-file", dest="export_file", default=None, help="use the given file to as output instead of showing the plot") parser.add_option("-r", "--forced-read", dest="forced_read_period", type="int", default=-1, metavar="MILLISECONDS", help="force Taurustrend to re-read the attributes every MILLISECONDS ms") parser.add_option("-a", "--use-archiving", action="store_true", dest="use_archiving", default=False) parser.add_option("--window-name", dest="window_name", default="TaurusTrend", help="Name of the window") app = taurus.qt.qtgui.application.TaurusApplication(cmd_line_parser=parser, app_name="taurustrend", app_version=taurus.Release.version) args = app.get_command_line_args() options = app.get_command_line_options() if options.x_axis_mode.lower() not in ['t', 'e']: parser.print_help(sys.stderr) sys.exit(1) models = args w = TaurusTrend() w.setWindowTitle(options.window_name) # xistime option w.setXIsTime(options.x_axis_mode.lower() == 't') # max buffer size option w.setMaxDataBufferSize(int(options.max_buffer_size)) # configuration file option if options.config_file is not None: w.loadConfig(options.config_file) # set models if models: w.setModel(models) # export option if options.export_file is not None: curves = dict.fromkeys(w.trendSets, 0) def exportIfAllCurves(curve, trend=w, counters=curves): curve = str(curve) print('*' * 10 + ' %s: Event received for %s ' % (, curve) + '*' * 10) if curve in counters: counters[curve] += 1 if all(counters.values()): trend.exportPdf(options.export_file) print('*' * 10 + ' %s: Exported to : %s ' % (, options.export_file) + '*' * 10) trend.close() return if not curves: w.close() else: for ts in w.trendSets.values(): ts.dataChanged.connect(exportIfAllCurves) sys.exit(app.exec_()) # exit without showing the widget # period option if options.forced_read_period > 0: w.setForcedReadingPeriod(options.forced_read_period) # archiving option w.setUseArchiving(options.use_archiving) # show the widget # if no models are passed, show the data import dialog if len(models) == 0 and options.config_file is None: w.showDataImportDlg() sys.exit(app.exec_()) if __name__ == "__main__": main()