def timed_update():
from pyface.timer.api import Timer
def update_loop(line_plot):
line_plot.update_data()
# shouldn't need this
# line_plot.autoscale_axis()
def log_memory():
# log memory usage
usage = float(psutil.Process(os.getpid()).memory_info().rss) * 1e-6
info = '#[{}] MB:{:f}'.format(-1, usage)
logger.warning(info)
plot = LinePlot()
millisecs = int(1000.0 / 30.0) # ~30Hz
update_timer = Timer(millisecs, update_loop, plot)
log_timer = Timer(int(1000.0 * 10.0), log_memory)
update_timer.Start()
log_timer.Start()
plot.configure_traits()
class MainWindow(ApplicationWindow):
""" The main application window. """
# The pyface Timer.
my_timer = Any()
# Count each time the timer task executes.
counter = Int
def __init__(self, **traits):
""" Creates a new application window. """
# Base class constructor.
super(MainWindow, self).__init__(**traits)
# Add a menu bar.
self.menu_bar_manager = MenuBarManager(
MenuManager(
Action(name='Start Timer', on_perform=self._start_timer),
Action(name='Stop Timer', on_perform=self._stop_timer),
Action(name='E&xit', on_perform=self.close),
name = '&File',
)
)
return
def _start_timer(self):
"""Called when the user selects "Start Timer" from the menu."""
if self.my_timer is None:
# First call, so create a Timer. It starts automatically.
self.my_timer = Timer(500, self._timer_task)
else:
self.my_timer.Start()
def _stop_timer(self):
"""Called when the user selecte "Stop Timer" from the menu."""
if self.my_timer is not None:
self.my_timer.Stop()
def _timer_task(self):
"""The method run periodically by the timer."""
self.counter += 1
print "counter = %d" % self.counter
class Animator(HasTraits):
""" Convenience class to manage a timer and present a convenient
UI. This is based on the code in `tvtk.tools.visual`.
Here is a simple example of using this class::
>>> from mayavi import mlab
>>> def anim():
... f = mlab.gcf()
... while 1:
... f.scene.camera.azimuth(10)
... f.scene.render()
... yield
...
>>> anim = anim()
>>> t = Animator(500, anim.next)
>>> t.edit_traits()
This makes it very easy to animate your visualizations and control
it from a simple UI.
**Notes**
If you want to modify the data plotted by an `mlab` function call,
please refer to the section on: :ref:`mlab-animating-data`
"""
########################################
# Traits.
start = Button('Start Animation')
stop = Button('Stop Animation')
delay = Range(10, 100000, 500,
desc='frequency with which timer is called')
# The internal timer we manage.
timer = Instance(Timer)
######################################################################
# User interface view
traits_view = View(Group(Item('start'),
Item('stop'),
show_labels=False),
Item('_'),
Item(name='delay'),
title='Animation Controller',
buttons=['OK'])
######################################################################
# Initialize object
def __init__(self, millisec, callable, *args, **kwargs):
"""Constructor.
**Parameters**
:millisec: int specifying the delay in milliseconds
between calls to the callable.
:callable: callable function to call after the specified
delay.
:\*args: optional arguments to be passed to the callable.
:\*\*kwargs: optional keyword arguments to be passed to the callable.
"""
HasTraits.__init__(self)
self.delay = millisec
self.timer = Timer(millisec, callable, *args, **kwargs)
######################################################################
# Non-public methods, Event handlers
def _start_fired(self):
self.timer.Start(self.delay)
def _stop_fired(self):
self.timer.Stop()
def _delay_changed(self, value):
t = self.timer
if t is None:
return
if t.IsRunning():
t.Stop()
t.Start(value)
class MainWindow(HasTraits):
scene = Instance(MlabSceneModel, ())
view = View(Item('scene', editor=SceneEditor(), resizable=True,
show_label=False),
resizable=True, height=500.00, width=750.0)
def __init__(self, config, server):
HasTraits.__init__(self)
self.mayavi_view = PlotHead(self, config, server)
self.tail_data = np.zeros((2,3))
self.head_data = np.zeros((2,3))
self.reset = False
self.init_plot()
self.timer = Timer(2000, self.update_plot)
self.timer.Start()
def init_plot(self):
# create a window with 14 plots (7 rows x 2 columns)
## create a window with 8 plots (4 rows x 2 columns)
reader = tvtk.OBJReader()
reader.file_name = self.mayavi_view.filename
mapper = tvtk.PolyDataMapper()
mapper.input = reader.output
actor = tvtk.Actor()
mapper.color_mode = 0x000000
actor.mapper = mapper
actor.orientation = (180,0,90)
self.scene.add_actor(actor)
mlab.points3d(11.5, -1.3, -14)
mlab.points3d(-6.6, -1.3, -13.5)
mlab.points3d(3,-2,2)
mlab.points3d(2, 9.5, -9.5)
self.arrows = mlab.quiver3d(self.tail_data[:,0], self.tail_data[:,1], self.tail_data[:,2],
self.head_data[:,0], self.head_data[:,1], self.head_data[:,2], scale_mode='vector', scale_factor=1.0)
self.dots = mlab.points3d(self.tail_data[:,0], self.tail_data[:,1], self.tail_data[:,2],
color=(1,1,0),opacity=0.5,scale_mode='vector', scale_factor=1.0)
self.ar = self.arrows.mlab_source
self.dot_source = self.dots.mlab_source
'''
x_arrows = np.ones((300, 6))
y_arrows = np.ones((300, 6))
z_arrows = np.ones((300, 6))
arrows = np.ones((300, 6))
for i, pos in enumerate(arrows):
x_arrows[i, 0] = pos[0] + i
y_arrows[i, 1] = pos[1] + i
z_arrows[i, 2] = pos[2] + i
arrows = np.vstack((x_arrows, y_arrows, z_arrows, np.zeros((1,6))))
self.tail_data = np.vstack((self.tail_data, arrows[:,:3]))
mlab.points3d(x_arrows[:,0], x_arrows[:,1], x_arrows[:,2], scale_factor = 0.5)
mlab.quiver3d(x_arrows[:,0], x_arrows[:,1], x_arrows[:,2],
x_arrows[:,3], x_arrows[:,4], x_arrows[:,5], scale_factor = 0.5)
# z=arrows[:,2]
self.head_data = np.vstack((self.head_data, arrows[:, -3:]))
self.ar.reset(x=arrows[:,0] + self.mayavi_view.plot_vertex_vec[0], y=arrows[:,1] + self.mayavi_view.plot_vertex_vec[1],
z=arrows[:,2] + self.mayavi_view.plot_vertex_vec[2], u=arrows[:,3]+10, v=arrows[:,4]+10,w=arrows[:,5]+10)
'''
def update_plot(self):
print 'started updating'
if self.reset:
while not queue.empty():
queue.get()
self.head_data = np.zeros((2,3))
self.tail_data = np.zeros((2,3))
self.reset = False
else:
while not queue.empty():
new_values = queue.get()
print new_values.shape
self.tail_data = np.vstack((self.tail_data, new_values[1]))
print 'updated position'
self.head_data = np.vstack((self.head_data, new_values[0]))
print 'updated rotation'
print self.head_data
print self.tail_data
self.ar.reset(x=self.tail_data[:,0], y=self.tail_data[:,1], z=self.tail_data[:,2],
u=self.head_data[:,0], v=self.head_data[:,1], w=self.head_data[:,2], scale_mode='vector', scale_factor=1.0)
self.dot_source.reset(x=self.tail_data[:,0], y=self.tail_data[:,1], z=self.tail_data[:,2],
color=(1,1,0),opacity=0.5,scale_mode='vector', scale_factor=1.0)
print 'finished'
class Animator(HasTraits):
start = Button('Start Animation')
stop = Button('Stop Animation')
next_frame = Button('+')
prev_frame = Button('-')
delay = Range(10, 100000, 500)
loop = Bool(True)
current_frame = Int(-1)
_last_frame = Int()
# TODO use Range(high="trait name")
render_from_frame = Int()
render_to_frame = Int()
render_animation = Button()
is_rendering = Bool(False) # indicator bool is True when rendering
is_rendering_animation = Bool(False)
render_directory = Directory("/tmp", exists=False)
render_name_pattern = String("frame_%05d.png")
magnification = Range(1, 128)
fix_image_size = Bool(False)
image_size = Tuple(Int(1280), Int(720))
render = Event()
enable_cameraman = Bool(False)
set_keyframe = Button()
remove_keyframe = Button()
timer = Instance(Timer)
traits_view = View( Tabbed(
Group(
HGroup(
Item('start', show_label=False),
Item('stop', show_label=False),
Item('next_frame', show_label=False, enabled_when='current_frame < _last_frame'),
Item('prev_frame', show_label=False, enabled_when='current_frame > 0'),
),
HGroup(
Item(name = 'loop'),
Item(name = 'delay'),
),
Item(name = 'current_frame',
editor=RangeEditor(is_float=False, high_name='_last_frame', mode='slider')),
Group(
HGroup(
Item(name = 'enable_cameraman', label='enabled'),
Item(name = 'set_keyframe', show_label=False),
Item(name = 'remove_keyframe', show_label=False),
Item(name = 'interpolation_type', object='object._camera_interpolator'),
),
label = 'Cameraman',
),
label = 'Timeline',
),
Group(
HGroup(
Item('fix_image_size', label="Set Image Size"),
Item('magnification', visible_when='not fix_image_size', label='Magnification'),
Item('image_size', visible_when='fix_image_size', show_label=False, editor=TupleEditor(cols=2, labels=['W', 'H'])),
),
Item("_"),
Item("render_directory", label="Target Dir"),
Item("render_name_pattern", label="Filename Pattern"),
Item("_"),
HGroup(
Item("render_from_frame", label="from",
editor=RangeEditor(is_float=False, low=0, high_name='render_to_frame')),
Item("render_to_frame", label="to",
editor=RangeEditor(is_float=False, low_name='render_from_frame', high_name='_last_frame')),
),
Item("render_animation", show_label=False),
label = "Render",
),
),
title = 'Animation Controller',
buttons = [])
def __init__(self, num_frames, callable, millisec=40, figure=None, play=True, *args, **kwargs):
HasTraits.__init__(self)
self.delay = millisec
self._last_frame = num_frames - 1
self._callable = callable
if figure is None:
figure = mlab.gcf()
self._figure = figure
self._camera_interpolator = tvtk.CameraInterpolator(interpolation_type='spline')
self._t_keyframes = {}
self.render_to_frame = self._last_frame
self.timer = Timer(millisec, self._on_timer, *args, **kwargs)
if not play:
self.stop = True
self._internal_generator = None
self.current_frame = 0
self.on_trait_change(self._render, "render, current_frame", dispatch="ui")
def _render(self):
self.is_rendering = True
if self._internal_generator is not None:
try:
next(self._internal_generator)
except StopIteration: # is ok since generator should yield just once to render
pass
except: # catch and re-raise other errors
raise
else:
raise "The render function should be either a simple function or a generator that yields just once to render"
# before we call the user function, we want to disallow rendering
# this speeds up animations that use mlab functions
scene = self._figure.scene
scene.disable_render = True
r = self._callable(self.current_frame)
if isinstance(r, types.GeneratorType):
next(r)
# save away generator to yield when another frame has to be displayed
self._internal_generator = r
# render scene without dumb hourglass cursor,
# can be prevented by setting _interacting before calling render
old_interacting = scene._interacting
if self._camera_interpolator.number_of_cameras >= 2 and self.enable_cameraman:
t = self.current_frame / float(self._last_frame)
self._camera_interpolator.interpolate_camera(t, mlab.get_engine().current_scene.scene.camera)
mlab.gcf().scene.renderer.reset_camera_clipping_range()
scene._interacting = True
scene.disable_render = False
scene.render()
scene._interacting = old_interacting
self.is_rendering = False
@on_trait_change('set_keyframe')
def _set_keyframe(self):
t = self.current_frame / float(self._last_frame)
self._camera_interpolator.add_camera(t, mlab.get_engine().current_scene.scene.camera)
self._t_keyframes[self.current_frame] = t
def _next_frame_fired(self):
self.current_frame += 1
def _prev_frame_fired(self):
self.current_frame -= 1
@on_trait_change('remove_keyframe')
def _remove_keyframe(self):
if self.current_frame in self._t_keyframes:
self._camera_interpolator.remove_last_keyframe(self._t_keyframes[self.current_frame])
def _on_timer(self, *args, **kwargs):
if self.loop or self.current_frame != self._last_frame:
self.current_frame = (self.current_frame + 1) % (self._last_frame + 1)
else:
self.stop = True
def _delay_changed(self, value):
t = self.timer
if t is None:
return
if t.IsRunning():
t.Stop()
t.Start(value)
def _start_fired(self):
if not self.loop and self.current_frame == self._last_frame:
self.current_frame = 0
self.timer.Start(self.delay)
def _stop_fired(self):
self.timer.Stop()
def _render_animation_fired(self):
self.stop = True
n_frames_render = self.render_to_frame - self.render_from_frame
# prepare the render window
renwin = self._figure.scene.render_window
aa_frames = renwin.aa_frames
renwin.aa_frames = 8
renwin.alpha_bit_planes = 1
# turn on off screen rendering
#renwin.off_screen_rendering = True
# set size of window
if self.fix_image_size:
orig_size = renwin.size
renwin.size = self.image_size
# render the frames
progress = ProgressDialog(title="Rendering", max=n_frames_render,
show_time=True, can_cancel=True)
progress.open()
self.is_rendering_animation = True
for frame in range(self.render_from_frame, self.render_to_frame + 1):
# move animation to desired frame, this will also render the scene
self.current_frame = frame
# prepare window to image writer
render = tvtk.WindowToImageFilter(input=renwin, magnification=1)#, input_buffer_type='rgba')
if not self.fix_image_size:
render.magnification = self.magnification
exporter = tvtk.PNGWriter(file_name=path.join(self.render_directory, self.render_name_pattern % frame))
configure_input(exporter,render)
exporter.write()
do_continue, skip = progress.update(frame - self.render_from_frame)
if not do_continue:
break
# reset the render window to old values
renwin.aa_frames = aa_frames
if self.fix_image_size:
renwin.size = orig_size
#renwin.off_screen_rendering = False
self.is_rendering_animation = False
progress.close()
class TimeTrace(GetSetItemsMixin):
number_of_points = Int(200,
desc='Length of Count Trace',
label='Number of points',
mode='text',
auto_set=False,
enter_set=True)
seconds_per_point = Float(0.1,
desc='Seconds per point [s]',
label='Seconds per point [s]',
mode='text',
auto_set=False,
enter_set=True)
# trace data
count_rate = Array()
time = Array()
enable_0 = Bool(True, label='channel 0', desc='enable channel 0')
enable_1 = Bool(False, label='channel 1', desc='enable channel 1')
enable_2 = Bool(False, label='channel 2', desc='enable channel 2')
enable_3 = Bool(False, label='channel 3', desc='enable channel 3')
enable_4 = Bool(False, label='channel 4', desc='enable channel 4')
enable_5 = Bool(False, label='channel 5', desc='enable channel 5')
enable_6 = Bool(False, label='channel 6', desc='enable channel 6')
enable_7 = Bool(False, label='channel 7', desc='enable channel 7')
channels = Instance(list, factory=list)
plot = Instance(Plot)
plot_data = Instance(ArrayPlotData)
start_button = Button(label='start', show_label=False)
stop_button = Button(label='stop', show_label=False)
clear_button = Button(label='clear', show_label=False)
get_set_items = [
'count_rate', 'time', 'channels', 'number_of_points',
'seconds_per_point'
]
def __init__(self, tagger, **kwargs):
super(TimeTrace, self).__init__(**kwargs)
self.tagger = tagger
self._reset()
def _channels_default(self):
return list(
np.arange(8)[np.array([
self.enable_0, self.enable_1, self.enable_2, self.enable_3,
self.enable_4, self.enable_5, self.enable_6, self.enable_7
])])
@on_trait_change(
'enable_0,enable_1,enable_2,enable_3,enable_4,enable_5,enable_6,enable_7'
)
def _update_channels(self):
self.channels = self._channels_default()
@on_trait_change('channels,number_of_points,seconds_per_point')
def _reset(self):
if hasattr(self, '_timer'):
self._timer.Stop()
self._create_plot()
self._counter = Counter(self.tagger, self.channels,
int(self.seconds_per_point * 1e12),
self.number_of_points)
self.time = self._counter.getIndex() * 1e-12
self.count_rate = self._counter.getData() / self.seconds_per_point
self._timer = Timer(200, self._refresh_data)
self._timer.Start()
def _refresh_data(self):
self.count_rate = self._counter.getData() / self.seconds_per_point
def _count_rate_changed(self, new):
for i, line_i in enumerate(new):
self.plot_data.set_data('channel_' + str(self.channels[i]), line_i)
def _time_changed(self, new):
self.plot_data.set_data('time', new)
def _create_plot(self):
kwargs = {}
for i, channel_i in enumerate(self.channels):
kwargs['channel_' + str(channel_i)] = np.array(())
data = ArrayPlotData(time=np.array(()), **kwargs)
plot = Plot(data,
width=100,
height=100,
resizable='hv',
padding_left=96,
padding_bottom=32)
plot.index_axis.title = 'time [s]'
plot.value_axis.title = 'count rate [counts/s]'
color_map = {
0: 'blue',
1: 'red',
2: 'green',
3: 'black',
4: 'brown',
5: 'yellow',
6: 'magenta',
7: 'cyan'
}
for channel in self.channels:
plot.plot(('time', 'channel_' + str(channel)),
type='line',
color=color_map[channel],
name='channel ' + str(channel))
plot.legend.align = 'll'
if len(self.channels) > 1:
plot.legend.visible = True
else:
plot.legend.visible = False
self.plot_data = data
self.plot = plot
def _clear_button_fired(self):
self._counter.clear()
self.count_rate = self._counter.getData()
def _start_button_fired(self):
self._counter.start()
self._timer.Start()
def _stop_button_fired(self):
self._counter.stop()
self._timer.Stop()
def __del__(self):
self._timer.Stop()
traits_view = View(
VGroup(
HGroup(
Item('clear_button', show_label=False),
Item('start_button', show_label=False),
Item('stop_button', show_label=False),
Item('save_button', show_label=False),
),
HGroup(
Item('plot',
editor=ComponentEditor(size=(100, 100)),
show_label=False),
VGroup(
Item('enable_0'),
Item('enable_1'),
Item('enable_2'),
Item('enable_3'),
Item('enable_4'),
Item('enable_5'),
Item('enable_6'),
Item('enable_7'),
),
),
HGroup(
Item('number_of_points'),
Item('seconds_per_point'),
),
),
title='Counter',
width=780,
height=520,
buttons=[],
resizable=True,
)
class DACChannel(traits.HasTraits):
def __init__(self, setchannelName, port, connection, rpiADC):
self.channelName = setchannelName
self.x = ad.ADEvalBC()
self.port = port
self.connection = connection
self.rpiADC = rpiADC
self.wmLockTimer = Timer(1000, self.wmLock2)
self.wmLockTimer.Stop()
# time.sleep(5)
# self.start_timer()
update = traits.Button()
set = traits.Button()
pinMode = '0'
relockMode = traits.Enum("Manual Mode", "Doubling cavity Relock",
"Wavemeter Relock", "Wavemeter Lock")
#set_Relock = traits.Button()
#---- MANUAL MODE ----#
voltage = traits.Float(desc="Voltage of the Channel")
setVoltage = traits.Float(desc="set Voltage")
powerModeMult = 0
channelName = traits.Str(desc="Name")
channelDescription = traits.Str(desc="Description")
powerMode = traits.Enum(
5,
10,
10.8,
desc="power Mode",
)
bipolar = traits.Bool(desc="Bipolarity")
channelMessage = traits.Str()
bytecode = traits.Str()
port = traits.Str()
def pinSet(self, channel, mode):
cmd = "pin=" + channel + mode
self.connection.send(cmd)
#print cmd
def _update_fired(self):
if self.bipolar == True:
a = "bipolar"
bip = True
self.powerModeMult = -1
else:
a = "unipolar"
bip = False
self.powerModeMult = 0
cmd = "cmd=" + self.x.setMaxValue(self.port, self.powerMode, bip)
#print cmd
self.connection.send(cmd)
b = "Mode set to %.1f" % self.powerMode
self.channelMessage = b + ' ' + a
self._set_fired()
def _set_fired(self):
if ((self.setVoltage > self.powerMode) and (self.bipolar == False)):
print "setVoltage out of bounds. Not sending."
elif ((abs(self.setVoltage) > self.powerMode)
and (self.bipolar == True)):
print "setVoltage out of bounds. Not sending."
else:
cmd = "cmd=" + self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode,
self.setVoltage)
self.connection.send(cmd)
self.bytecode = self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode,
self.setVoltage)
self.voltage = self.setVoltage
#---- MANUAL MODE GUI ----#
voltageGroup = traitsui.HGroup(traitsui.VGroup(
traitsui.Item('voltage',
label="Measured Voltage",
style_sheet='* { font-size: 18px; }',
style="readonly"),
traitsui.Item('setVoltage', label="Set Value"),
),
traitsui.Item('set', show_label=False),
show_border=True)
powerGroup = traitsui.VGroup(traitsui.HGroup(
traitsui.Item('powerMode', label="Power Mode"),
traitsui.Item('bipolar'),
),
traitsui.HGroup(
traitsui.Item('update', show_label=False),
traitsui.Item('channelMessage',
show_label=False,
style="readonly"),
),
traitsui.Item('bytecode',
show_label=False,
style="readonly"),
traitsui.Item('switch_Lock'),
show_border=True)
manualGroup = traitsui.VGroup(traitsui.Item('channelName',
label="Channel Name",
style="readonly"),
voltageGroup,
show_border=True,
visible_when='relockMode == "Manual Mode"')
#---- DOUBLING CAVITY MODE GUI----#
adcChannel = traits.Enum(0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
desc="Channel of the rpiADC")
adcVoltage = traits.Float(desc="Voltage on rpiADC Channel")
DCscan_and_lock = traits.Button()
switch_Lock = traits.Button()
DCconnect = traits.Bool()
DCautolock = traits.Button()
DCadcVoltages = None
DCadcVoltagesMean = None
DCtolerance = 0.01 #Volt
DCmistakeCounter = 0
DCminBoundary = traits.Float()
DCmaxBoundary = traits.Float()
DCnoOfSteps = traits.Int()
#Updates voltage of the selected channel"
def _adcVoltage_update(self):
self.adcVoltage = self._adcVoltage_get()
#Gets voltage of the selected channel via rpiADC Client
def _adcVoltage_get(self):
return self.rpiADC.getResults()[self.adcChannel]
# print "latest results = %s " % self.rpiADC.latestResults
# self.rpiADC.getResults()
# print "latest results = %s " % self.rpiADC.latestResults
# if self.adcChannel in self.rpiADC.latestResults:
# return self.rpiADC.latestResults[self.adcChannel]
# else:
# return -999
#As soon as the connect button is checked, automatic updating of the adc voltage is initiated.
#When it is unchecked, the update stops
def _DCconnect_changed(self):
if self.DCconnect == True:
self._start_PD_timer()
else:
self.PDtimer.stop()
self.adcVoltage = -999
print "PD timer stopped."
#Starts the timer, that only updates the displayed voltage
def _start_PD_timer(self):
self.PDtimer = Timer(1000.0, self._adcVoltage_update)
#Starts a timer, that updates the displayed voltage, as well as does the "in lock" checking
def _start_PD_lock_timer(self):
self.PDtimer = Timer(1000.0, self.update_PD_and_Lock)
#Controls if everything is still in lock. Also updates displayed voltage. It counts still in lock, when the measured frequency
#is within DC tolerance of the mean of the last five measured frequencies.
def update_PD_and_Lock(self):
self._adcVoltage_update() #still display Voltage
pdVoltage = self._adcVoltage_get()
#print "Updated Frequency"
#mistakeCounter = 0
if len(self.DCadcVoltages
) < 5: #number of Measurements that will be compared
print "Getting Data for Lock. Do not unlock!"
self.DCadcVoltages = np.append(self.DCadcVoltages, pdVoltage)
else:
self.DCadcVoltagesMean = np.mean(
self.DCadcVoltages) #Mean Frequency to compare to
if (abs(pdVoltage - self.DCadcVoltagesMean) < self.DCtolerance):
self.DCadcVoltages = np.append(self.DCadcVoltages, pdVoltage)
self.DCadcVoltages = np.delete(
self.DCadcVoltages, 0) #keep Array at constant length
print "Still locked."
if self.DCmistakeCounter > 0:
self.DCmistakeCounter = 0
else:
self.DCmistakeCounter += 1
if self.DCmistakeCounter > 5:
self.PDtimer.stop()
self._start_PD_timer() #keep Frequency on display..
self._DCscan_and_lock_fired()
self._DCautolock_fired()
else:
print self.DCmistakeCounter
#This button is used, when everything is already locked. It prepares the voltage mean array, stops the PD timer and starts the update_PD_and_Lock timer routine
def _DCautolock_fired(self):
if self.DCconnect == True:
self.DCadcVoltages = np.array([])
self.PDtimer.stop()
self._start_PD_lock_timer()
else:
print "No adcRPi connected."
#This function (button) scans the voltage and reads the RPiADC voltage of the selected channel. It subsequently attempts
#to lock the Cavity at the voltage, where the RPiADC voltage is highest. The Algorithm for the lock is as follows:
#1) It does a coarse DAC voltage scan with the parameters selected in the input (minBoundary etc). This scan is terminated when
# the adc voltage goes above a threshold (3.2 V - hardcoded, maybe add input), or after scanning the whole range.
#2) A fine scan 0.3V(dac) around the maximum (or around the 3.2V dac voltage) is done. Currently the number of steps is hardcoded to 600,
# which worked well. This scan terminated either by going to a 3.3V (adc) threshhold or after finishing.
#3) The Cavity is locked at a dac voltage that corresponds to either the maximum after the whole scan or the 3.3V threshold.
def _DCscan_and_lock_fired(self):
self.pinSet(self.port, '1') #Unlock
time.sleep(
1
) #If the cavity was in lock before we can not directly start scanning, or else it will read 3.3V as first value
voltages = np.linspace(
self.DCminBoundary, self.DCmaxBoundary,
self.DCnoOfSteps) #Parameters for first scan set by GUI
diodeVoltages = np.array([])
for entry in voltages: #First scan
self.setVoltage = entry
self._set_fired() #update setVoltage
diodeVoltages = np.append(diodeVoltages, self._adcVoltage_get())
volt = self._adcVoltage_get()
print volt
if volt >= 3.2: #Threshold for first scan
break
time.sleep(
0.05
) #sleep time between every step for adc readout, maybe it is possible to make the scan faster
self.setVoltage = voltages[diodeVoltages.argmax(
axis=0)] #DAC Voltage corresponding to the highest adc voltage
print "Attempting to reduce scan Range"
print self.setVoltage
time.sleep(2.0)
if self.setVoltage < 0.3: #make sure we do not scan below zero, as the lock box does not like negative voltages.
auxSetVolt = 0
else:
auxSetVolt = self.setVoltage - 0.3
voltages = np.linspace(auxSetVolt, self.setVoltage + 0.3,
600) #parameters for second scan
diodeVoltages = np.array([])
for entry in voltages: #Second scan
if entry > self.powerMode: #Our voltage can not go above our maximum value
break
self.setVoltage = entry
self._set_fired()
diodeVoltages = np.append(diodeVoltages, self._adcVoltage_get())
volt = self._adcVoltage_get()
print volt
if volt >= 3.3: #threshold for second scan
print self.setVoltage
self.pinSet(self.port, '0')
return
time.sleep(0.1)
self.setVoltage = voltages[diodeVoltages.argmax(axis=0)]
print "DAC Voltage set to %f" % voltages[diodeVoltages.argmax(axis=0)]
print ".. this corresponds to a diode Voltage of %f" % diodeVoltages[
diodeVoltages.argmax(axis=0)]
self._set_fired()
time.sleep(0.2)
self.pinSet(self.port, '0') #Lock
print "Voltage set to %f to attempt relock." % self.setVoltage
return
#Changes from lock to dither and other way around
def _switch_Lock_fired(self):
if self.pinMode == '0':
self.pinMode = '1'
self.pinSet(self.port, self.pinMode)
else:
self.pinMode = '0'
self.pinSet(self.port, self.pinMode)
#Gui Stuff#
DCgroup = traitsui.VGroup(
traitsui.HGroup(
traitsui.VGroup(
traitsui.Item('adcChannel'),
traitsui.Item('adcVoltage', style='readonly'),
),
traitsui.VGroup(
traitsui.Item('DCmaxBoundary'),
traitsui.Item('DCminBoundary'),
traitsui.Item('DCnoOfSteps'),
),
),
#traitsui.Item('switch_Lock'),
traitsui.HGroup(
traitsui.VGroup(
traitsui.Item('DCscan_and_lock'),
traitsui.Item('DCautolock'),
), traitsui.Item('DCconnect')),
visible_when='relockMode == "Doubling cavity Relock"',
show_border=True,
)
#---- WAVEMETER GUI ----#
wavemeter = traits.Enum("Humphry", "Ion Cavity")
wmChannel = traits.Enum(1, 2, 3, 4, 5, 6, 7, 8)
wmFrequency = traits.Float()
wmConnected = traits.Bool()
wmHWI = None
wmIP = None
wmPort = None
wmReLock = traits.Button()
wmFrequencyLog = np.array([])
wmMeanFrequency = None
wmTolerance = 0.0000006 #Frequency tolerance in THz, set to 60 MHz in accordance with wm accuracy
mistakeCounter = 0
#wmPolarity = traits.Enum("+", "-")
wmEmptyMemory = traits.Button()
#When hitting wmConnected, a connection to the wavemeter and readout is established
def _wmConnected_changed(self):
if self.wmConnected == True:
if self.wavemeter == "Humphry":
self.wmIP = '192.168.0.111'
self.wmPort = 6101
elif self.wavemeter == "Ion Cavity":
self.wmIP = '192.168.32.2'
self.wmPort = 6100
self.wmHWI = PyHWI.DECADSClientConnection('WLM', self.wmIP,
self.wmPort)
#frequencyArray = wmHWI.getFrequency(True, self.wmChannel)
self.start_timer()
else:
self.wmFrequency = -999
self.timer.Stop() #stops either lock_timer or read_timer.
print "Timer stopped"
#GUI stuff
wmGroup = traitsui.VGroup(traitsui.Item('wmFrequency', style='readonly'),
traitsui.Item('wmConnected'),
traitsui.Item('wmReLock'),
traitsui.HGroup(
traitsui.Item('wavemeter'),
traitsui.Item('wmChannel'),
traitsui.Item('wmEmptyMemory',
show_label=False)),
visible_when='relockMode == "Wavemeter Relock"')
#Resets the memory of the lock (the array which saves the last read frequencies)
def _wmEmptyMemory_fired(self):
self.wmFrequencyLog = np.array([])
print "Memory empty."
#starts readout-only timer
def start_timer(self):
print "Timer started"
self.timer = Timer(1000.0, self.update_wm)
#starts readout-and-lock timer, analogue to the doubling cavity case
def start_lock_timer(self):
print "Lock timer started"
self.timer = Timer(1000.0, self.update_wm_and_lock)
#updates the displayed frequency
def update_wm(self):
frequencyArray = self.wmHWI.getFrequency(True, self.wmChannel)
self.wmFrequency = frequencyArray[1]
#updates frequency and checks if its still near the mean of the last five (hardcoded, see below) measured frequencies. If not, it attempts a relock.
def update_wm_and_lock(self):
self.update_wm()
frequencyArray = self.wmHWI.getFrequency(True, self.wmChannel)
#print "Updated Frequency"
#mistakeCounter = 0
if len(self.wmFrequencyLog
) < 5: #number of Measurements that will be compared
print "Getting Data for Lock. Do not unlock!"
self.wmFrequencyLog = np.append(self.wmFrequencyLog,
frequencyArray[1])
else:
self.wmMeanFrequency = np.mean(
self.wmFrequencyLog) #Mean Frequency to compare to
if (abs(frequencyArray[1] - self.wmMeanFrequency) <
self.wmTolerance):
self.wmFrequencyLog = np.append(self.wmFrequencyLog,
frequencyArray[1])
self.wmFrequencyLog = np.delete(
self.wmFrequencyLog, 0) #keep Array at constant length
print "Still locked."
if self.mistakeCounter > 0:
self.mistakeCounter = 0
else:
self.mistakeCounter += 1
if self.mistakeCounter > 5: #number of measurements that still count as locked, though the frequency is not within boundaries
self.timer.stop()
self.start_timer() #keep Frequency on display..
self.wmRelock(self.wmMeanFrequency)
else:
print self.mistakeCounter
#Relock procedure.
#For now this scans only one time, with a hardcoded number of steps. It might be worth modifying this to look like the doubling cavity relock procedure.
def wmRelock(self, wantedFrequency):
self.pinSet(self.port, '1')
voltages = np.linspace(self.powerModeMult * self.powerMode,
self.powerMode, 10)
wmRelockTry = 0
try:
while (wmRelockTry < 5): #attempt relock five times
for entry in voltages:
self.setVoltage = entry
self._set_fired()
time.sleep(1.0)
frequencyArray = self.wmHWI.getFrequency(
True, self.wmChannel)
if (abs(frequencyArray[1] - wantedFrequency) <
self.wmTolerance):
print "Relock_attempt!"
self.pinSet(self.port, '0')
self._wmLock_fired()
raise GetOutOfLoop #Opens the function again (inductively). Maybe fix that by going back
#to the level above somehow.
wmRelockTry += 1
print "Relock try %f not succesful" % wmRelockTry
print "Was not able to Relock."
except GetOutOfLoop:
print "gotOutOfLoop"
pass
def _wmReLock_fired(self):
#self.wmFrequencyLog = np.array([])
self.mistakeCounter = 0
if self.wmConnected == True:
self.timer.Stop(
) #Switch from read-only timer to read-and-log timer. If both run at the same time
self.start_lock_timer() #we run into timing problems.
else:
print "No Wavemeter connected!"
print "hi"
#---- WAVEMETERLOCK - DE 17092018 GUI ----#
wavemeter = traits.Enum("Humphry", "Ion Cavity")
wmChannel = traits.Enum(1, 2, 3, 4, 5, 6, 7, 8)
wmFrequency = traits.Float()
wmConnected = traits.Bool()
wmHWI = None
wmIP = None
wmPort = None
isRunning = traits.Bool(False)
wmVoltage = 0
wmLockTimer = traits.Instance(Timer)
wmLockStart = traits.Button()
wmLockStop = traits.Button()
wmFrequencyLog = np.array([])
wmMeanFrequency = None
wmTargetFrequency = traits.Float() #frequency to lock
wmGain = traits.Float() #Gain for wavemeterlock
wmTolerance = 0.0000006 #Frequency tolerance in THz, set to 60 MHz in accordance with wm accuracy
mistakeCounter = 0
#wmPolarity = traits.Enum("+", "-")
wmEmptyMemory = traits.Button()
#GUI stuff
wmlockGroup = traitsui.VGroup(
traitsui.HGroup(traitsui.Item('wavemeter'), traitsui.Item('wmChannel'),
traitsui.Item('wmEmptyMemory', show_label=False)),
traitsui.Item('wmFrequency', style='readonly'),
traitsui.Item('wmConnected'),
traitsui.Item('wmTargetFrequency'),
traitsui.Item('wmGain'),
traitsui.HGroup(
traitsui.Item('wmLockStart', visible_when="isRunning == False"),
traitsui.Item('wmLockStop', visible_when="isRunning == True")),
visible_when='relockMode == "Wavemeter Lock"')
def _wmLockStart_fired(self):
print "Start: Wavemeterlock"
self.isRunning = True
self.wmLockTimer.Start()
def wmLock2(self):
# Calculate error in MHz
error = (self.wmFrequency - self.wmTargetFrequency) * 10**3
if abs(error) < 5000:
self.wmVoltage = self.wmVoltage + error * self.wmGain
if self.wmVoltage > 10:
self.wmVoltage = 10
elif self.wmVoltage < -10:
self.wmVoltage = -10
cmd = "cmd=" + self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode,
self.wmVoltage)
self.connection.sendwithoutcomment(cmd)
self.bytecode = self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode,
self.wmVoltage)
#self.saveToFile( "frequency_data.csv" )
def _wmLockStop_fired(self):
print "Stop: Wavemeterlock"
self.isRunning = False
cmd = "cmd=" + self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode,
0) #Spannung wieder auf 0
self.connection.sendwithoutcomment(cmd)
self.bytecode = self.x.generate_voltage(
self.port, self.powerMode, self.powerModeMult * self.powerMode, 0)
self.wmVoltage = 0
self.wmLockTimer.Stop()
def saveToFile(self, fileName):
f = open(fileName, "a")
f.write("%f \n" % self.wmFrequency)
f.close()
#---- PUT TOGETHER CHANNEL ----#
selectionGroup = traitsui.HGroup(traitsui.Item('relockMode'),
#traitsui.Item('set_Relock'),
)
channelGroup = traitsui.VGroup(
selectionGroup,
powerGroup,
wmGroup,
wmlockGroup,
DCgroup,
manualGroup,
)
traits_view = traitsui.View(channelGroup)
