def __init__(self, parent):
wx.Frame.__init__(self,
None,
size=(600, 600),
title='Display Waveforms')
self.parent = parent
self.panel = wx.Panel(self)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.Fig1 = CanvasPanel(self.panel)
self.m_ok_button = wx.Button(parent=self.panel, id=-1, label='Ok')
self.sizer.Add(item=self.Fig1, proportion=1, flag=wx.ALL)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.sizer.Add(item=self.m_ok_button,
proportion=1,
flag=wx.CENTER | wx.ALL)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.panel.SetSizer(self.sizer)
self.panel.Fit()
# event bindings
self.m_ok_button.Bind(wx.EVT_BUTTON, self.ok_button)
def __init__(self, parent):
wx.Frame.__init__(self, None, size=(600, 600), title='Display Waveforms')
self.parent = parent
self.panel = wx.Panel(self)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.Fig1 = CanvasPanel(self.panel)
self.m_ok_button = wx.Button(parent=self.panel, id=-1, label='Ok')
self.sizer.Add(
item=self.Fig1,
proportion=1,
flag=wx.ALL
)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.sizer.Add(
item=self.m_ok_button,
proportion=1,
flag=wx.CENTER | wx.ALL
)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.panel.SetSizer(self.sizer)
self.panel.Fit()
# event bindings
self.m_ok_button.Bind(wx.EVT_BUTTON, self.ok_button)
class PlotModal(wx.Frame):
def __init__(self, parent):
wx.Frame.__init__(self, None, size=(600, 600), title='Display Waveforms')
self.parent = parent
self.panel = wx.Panel(self)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.Fig1 = CanvasPanel(self.panel)
self.m_ok_button = wx.Button(parent=self.panel, id=-1, label='Ok')
self.sizer.Add(
item=self.Fig1,
proportion=1,
flag=wx.ALL
)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.sizer.Add(
item=self.m_ok_button,
proportion=1,
flag=wx.CENTER | wx.ALL
)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.panel.SetSizer(self.sizer)
self.panel.Fit()
# event bindings
self.m_ok_button.Bind(wx.EVT_BUTTON, self.ok_button)
def ok_button(self, evt):
self.Destroy()
def clear_figure(self):
self.Fig1.clear()
def plot_data(self, x, data):
self.colours = ["r", "g", "b"]
# This plots the figure
for index, column in enumerate(data):
self.Fig1.draw_points(
x,
column,
'.',
Color=self.colours[index]
)
self.Fig1.update()
def __InitUI(self, parent):
# initialize parent class
FrameSkeleton.__init__(self, parent)
# setup Matplotlib Canvas panel
self.Fig1 = CanvasPanel(self.Figure1_Panel)
# make status bars
m_statusBar = wx.StatusBar(self)
self.SetStatusBar(m_statusBar)
# self.m_statusBar.SetStatusText("Ready to go!")
self.data_panel = DataProcessingPanel(self.m_notebook1)
self.m_notebook1.AddPage(
self.data_panel,
u"Data Processing",
# True
)
# Setup the Menu
menu_bar = wx.MenuBar()
# File Menu
filem = wx.Menu()
filem.Append(wx.ID_OPEN, "Open\tCtrl+O")
filem.Append(wx.ID_ANY, "Run\tCtrl+R")
filem.Append(wx.ID_ABOUT, "About")
filem.Append(wx.ID_EXIT, "Exit\tCtrl+X")
# TODO: add and bind event handlers
menu_bar.Append(filem, "&File")
self.SetMenuBar(menu_bar)
# initialise view with model parameters
self.m_voltageRange.AppendItems(INPUT_VOLTAGE_RANGE_STR)
self.m_Waveform.AppendItems(WAVEFORMS)
self.m_Output.AppendItems(OUTPUTS)
self.setWaveformParameters()
self.setCollectionParameters()
class PlotModal(wx.Frame):
def __init__(self, parent):
wx.Frame.__init__(self,
None,
size=(600, 600),
title='Display Waveforms')
self.parent = parent
self.panel = wx.Panel(self)
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.Fig1 = CanvasPanel(self.panel)
self.m_ok_button = wx.Button(parent=self.panel, id=-1, label='Ok')
self.sizer.Add(item=self.Fig1, proportion=1, flag=wx.ALL)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.sizer.Add(item=self.m_ok_button,
proportion=1,
flag=wx.CENTER | wx.ALL)
self.sizer.AddSpacer((10, 10), 1, wx.EXPAND, 10)
self.panel.SetSizer(self.sizer)
self.panel.Fit()
# event bindings
self.m_ok_button.Bind(wx.EVT_BUTTON, self.ok_button)
def ok_button(self, evt):
self.Destroy()
def clear_figure(self):
self.Fig1.clear()
def plot_data(self, data):
self.colours = ["r", "g", "b"]
# This plots the figure
for index, column in enumerate(data):
self.Fig1.draw_points(range(len(column)),
column,
'.',
Color=self.colours[index])
self.Fig1.update()
class GUIController(FrameSkeleton):
"""
Controller to handle interface with wx UI
Attributes
----------
MyFrame1:
Fig1
Data
LoadPath
Path
measurement_type
"""
def __init__(self, parent):
# models
self.metadata = ExperimentSettings()
self.Data = ExperimentData(metadata=self.metadata)
self.light_pulse = LightPulse(self.metadata)
# setup file data
self.dirname = os.getcwd()
self.data_file = "untitled.dat"
self.metadata_file = "untitled.inf"
self.__InitUI(parent)
self.__InitValidators()
def __InitUI(self, parent):
# initialize parent class
FrameSkeleton.__init__(self, parent)
# setup Matplotlib Canvas panel
self.Fig1 = CanvasPanel(self.Figure1_Panel)
# make status bars
m_statusBar = wx.StatusBar(self)
self.SetStatusBar(m_statusBar)
# self.m_statusBar.SetStatusText("Ready to go!")
self.data_panel = DataProcessingPanel(self.m_notebook1)
self.m_notebook1.AddPage(
self.data_panel,
u"Data Processing",
# True
)
# Setup the Menu
menu_bar = wx.MenuBar()
# File Menu
filem = wx.Menu()
filem.Append(wx.ID_OPEN, "Open\tCtrl+O")
filem.Append(wx.ID_ANY, "Run\tCtrl+R")
filem.Append(wx.ID_ABOUT, "About")
filem.Append(wx.ID_EXIT, "Exit\tCtrl+X")
# TODO: add and bind event handlers
menu_bar.Append(filem, "&File")
self.SetMenuBar(menu_bar)
# initialise view with model parameters
self.m_voltageRange.AppendItems(INPUT_VOLTAGE_RANGE_STR)
self.m_Waveform.AppendItems(WAVEFORMS)
self.m_Output.AppendItems(OUTPUTS)
self.setWaveformParameters()
self.setCollectionParameters()
def __InitValidators(self):
# Waveform validators
self.m_Intensity.SetValidator(NumRangeValidator(numeric_type='int'))
self.m_Threshold.SetValidator(NumRangeValidator(numeric_type='int'))
self.m_Period.SetValidator(NumRangeValidator(numeric_type='float'))
self.m_Offset_Before.SetValidator(NumRangeValidator(numeric_type='float'))
self.m_Offset_After.SetValidator(NumRangeValidator(numeric_type='float'))
# Data collection validators
self.m_samplingFreq.SetValidator(NumRangeValidator(numeric_type='float'))
self.m_Averaging.SetValidator(NumRangeValidator(numeric_type='int'))
self.m_Binning.SetValidator(NumRangeValidator(numeric_type='int'))
def setPCCalibrationMean(self):
self.m_pcCalibrationMean.SetValue('{0:3.3f}'.format(
self.metadata.pc_calibration_mean
))
def setPCCalibrationStd(self):
self.m_pcCalibrationStd.SetValue('{0:3.3f}'.format(
self.metadata.pc_calibration_std
))
def setSampleDataPoints(self, sample_data_points):
self.m_DataPoint.SetValue('{0:.2e}'.format(sample_data_points))
def setFrequency(self, frequence_val):
self.m_Frequency.SetValue('{0:3.3f}'.format(frequence_val))
def setWaveformParameters(self):
self.m_Intensity.SetValue(str(self.metadata.amplitude))
self.m_Period.SetValue(str(self.metadata.duration))
self.m_Offset_Before.SetValue(str(self.metadata.offset_before))
self.m_Offset_After.SetValue(str(self.metadata.offset_after))
self.setFrequency(self.metadata.get_frequency())
def setCollectionParameters(self):
self.m_Binning.SetValue(str(self.metadata.binning))
self.m_Averaging.SetValue(str(self.metadata.averaging))
self.m_Threshold.SetValue(str(self.metadata.threshold))
self.m_samplingFreq.SetValue(str(self.metadata.sample_rate))
self.setSampleDataPoints(self.metadata.get_total_data_points())
#################################
# Event Handlers for Measurements
def Perform_Measurement(self, event):
print("GUIController: Perform_Measurement")
# Using that instance we then run the lights,
# and measure the outputs
self.measurement_handler = MeasurementHandler()
measurement_handler.add_to_queue(
self.light_pulse.complete_waveform,
self.metadata
)
raw_data = self.measurement_handler.single_measurement()
self.Data.updateRawData(raw_data)
self.Data.Data = utils.bin_data(raw_data, self.metadata.binning)
# We then plot the datas, this has to be changed if the plots want
# to be updated on the fly.
pub.sendMessage('update.plot')
def fftHandler(self):
channel = self.data_panel.m_fftChoice.GetStringSelection()
freq_data = self.Data.fftOperator(channel, self.metadata.get_total_time())
self.PlotData(freq_data, title=['FFT of Raw data', 'Frequency (hz)', 'Voltage (V)'])
def onWaveformParameters(self, event):
self.metadata.A = float(self.m_Intensity.GetValue())
self.metadata.Duration = float(self.m_Period.GetValue())
self.metadata.Offset_Before = float(self.m_Offset_Before.GetValue())
self.metadata.Offset_After = float(self.m_Offset_After.GetValue())
self.metadata.Waveform = self.m_Waveform.GetStringSelection()
pub.sendMessage('waveform.change')
def onCollectionParameters(self, event):
# TODO: refactor so it obeys DRY
self.metadata.binning = int(self.m_Binning.GetValue())
self.metadata.averaging = int(self.m_Averaging.GetValue())
self.metadata.channel = self.m_Output.GetStringSelection()
self.metadata.threshold = float(self.m_Threshold.GetValue())
self.metadata.sample_rate = float(self.m_samplingFreq.GetValue())
self.metadata.sample_data_points = self.metadata.get_total_data_points()
pub.sendMessage('collection.change')
##########################
# Plot Handlers
#
def plotHandler(self):
self.PlotData(self.Data.Data)
def PlotData(self, data, data_labels=['Reference', 'PC', 'PL'],
title=['Raw Data', 'Time (s)', 'Voltage (V)'], e=None):
self.Fig1.clear()
labels = data_labels
colours = ['b', 'r', 'g']
# this is done not to clog up the plot with many points
if data.shape[0] > 1000:
num = data.shape[0] // 1000
else:
num = 1
# This plots the figure
for i, label, colour in zip(data[:, 1:].T, labels, colours):
self.Fig1.draw_points(
data[::num, 0],
i[::num],
'.',
Color=colour,
Label=label
)
self.Fig1.legend()
self.Fig1.labels(title[0], title[1], title[2])
self.Fig1.update()
if e is not None:
e.skip()
#################
# Helper methods:
def defaultFileDialogOptions(self):
"""
Return a dictionary with file dialog options that can be
used in both the save file dialog as well as in the open
file dialog.
"""
return dict(message='Choose a file', defaultDir=self.dirname, wildcard='*.*')
def askUserForFilename(self, **dialogOptions):
dialog = wx.FileDialog(self, **dialogOptions)
if dialog.ShowModal() == wx.ID_OK:
userProvidedFilename = True
self.data_file = dialog.GetFilename()
self.dirname = dialog.GetDirectory()
else:
userProvidedFilename = False
dialog.Destroy()
return userProvidedFilename
def ShowCalibrationModal(self):
msg_text = (
"Please remove sample from measurement area\n"
"Only one PC calibration is necessary per experimental session"
)
wx.MessageBox(msg_text, 'Info', wx.OK | wx.ICON_INFORMATION)
##########################
# App state Event Handlers
#
def onSave(self, event):
"""
Method to handle dialogue window and saving data to file
"""
dialog = wx.FileDialog(
None,
'Save measurement data and metadata',
self.dirname,
'',
r'DAT and INF files (*.dat;*.inf)|*.inf;*.dat',
wx.FD_SAVE
)
if dialog.ShowModal() == wx.ID_OK:
dialog_path = dialog.GetPath()
self.dirname = os.path.dirname(dialog_path)
self.SaveName = os.path.splitext(os.path.basename(dialog_path))[0]
experiment_settings = self.metadata.get_settings_as_dict()
waveform_settings = self.light_pulse.get_settings_as_dict()
metadata_dict = experiment_settings.copy()
utils.save_data(self.Data.Data, self.SaveName, self.dirname)
utils.save_metadata(
metadata_dict,
self.SaveName,
self.dirname
)
else:
print('Canceled save')
dialog.Destroy()
event.Skip()
def onSaveData(self, event):
print("onSaveData")
if self.askUserForFilename(style=wx.SAVE,
**self.defaultFileDialogOptions()):
utils.save_data(self.Data.Data, self.data_file, self.dirname)
# print(filename)
# fullpath = os.path.join(self.dirname, self.data_file)
# self.Data.updateRawData(utils.load_data(fullpath))
def onLoad(self, event):
"""
Method to handle load metadata dialog window and update metadata state
"""
dialog = wx.FileDialog(
None,
'Select a metadata file',
self.dirname,
'',
r'*.inf',
wx.FD_OPEN
)
if dialog.ShowModal() == wx.ID_OK:
metadata_dict = utils.load_metadata(dialog.GetPath())
metadata_stringified = dict(
[a, str(x)] for a, x in metadata_dict.iteritems()
)
print(metadata_stringified)
# experimental data
self.m_Output.SetStringSelection(metadata_stringified[u'Channel'])
self.m_Averaging.SetValue(metadata_stringified[u'Averaging'])
try:
self.m_Binning.SetValue(metadata_stringified[u'Measurement_Binning'])
except:
self.m_Binning.SetValue(metadata_stringified[u'Binning'])
self.m_Threshold.SetValue(metadata_stringified[u'Threshold_mA'])
# waveform data
self.m_Intensity.SetValue(metadata_stringified[u'Intensity_v'])
self.m_Waveform.SetStringSelection(metadata_stringified[u'Waveform'])
self.m_Offset_Before.SetValue(metadata_stringified[u'Offset_Before_ms'])
self.m_Offset_After.SetValue(metadata_stringified[u'Offset_After_ms'])
self.m_Period.SetValue(metadata_stringified[u'Peroid_s'])
dialog.Destroy()
event.Skip()
def onLoadData(self, event):
"""
Handlers loading of new data set into Frame
"""
print("start data loading")
if self.askUserForFilename(style=wx.OPEN,
**self.defaultFileDialogOptions()):
fullpath = os.path.join(self.dirname, self.data_file)
self.Data.updateRawData(utils.load_data(fullpath))
print(self.Data.Data)
pub.sendMessage('update.plot')
self.onWaveformParameters(self, event)
self.onCollectionParameters(self, event)
def onExit(self, event):
self.Close()
def OnAbout(self, event):
dialog = wx.MessageDialog(
self,
'An PV experimental assistant in wxPython',
'About PVapp',
wx.OK
)
dialog.ShowModal()
dialog.Destroy()
def onStatusUpdate(self, status, is_error=False):
self.SetStatusText(status, 0)
if is_error:
self.m_statusBar.SetBackgroundColour('RED')
self.m_statusBar.SetStatusText(status)
else:
self.m_statusBar.SetStatusText(status)