def do_search(self):
# For each widget inside the results frame, lets destroy them
for widget in self.frmLT_result.findChildren(QWidget):
widget.setParent(None)
widget.deleteLater()
for widget in self.frmBO_result.findChildren(QWidget):
widget.setParent(None)
widget.deleteLater()
for widget in self.frmSR_result.findChildren(QWidget):
widget.setParent(None)
widget.deleteLater()
for widget in self.frmDCL_result.findChildren(QWidget):
widget.setParent(None)
widget.deleteLater()
# Grab the filter text
filter_text = self.txt_filter.text()
# For every entry in the dataset...
for entry in self.BBB_PS_list:
# Check if they match our filter
if filter_text.upper() not in entry.upper():
continue
# Create macros list
dict_macro_BBB = {
"PS_CON": entry,
"PYTHON":
"python" if platform.system() == "Windows" else "python3"
}
for i in range(1, len(self.BBB_PS_list[entry]) + 1):
dict_macro_BBB["PS{}".format(i)] = self.BBB_PS_list[entry][i -
1]
# Create a PyDMEmbeddedDisplay for this entry
disp = PyDMEmbeddedDisplay(parent=self)
PyDMApplication.instance().close_widget_connections(disp)
disp.macros = json.dumps(dict_macro_BBB)
disp.filename = 'PS_Controller.ui'
disp.setMinimumWidth(700)
disp.setMinimumHeight(40)
disp.setMaximumHeight(100)
# Add the Embedded Display to the Results Layout
if "DCL" in entry:
self.resultsDCL_layout.addWidget(disp)
elif "SI" in entry:
self.resultsSR_layout.addWidget(disp)
elif "BO" in entry:
self.resultsBO_layout.addWidget(disp)
elif ("TB" in entry) or ("TS" in entry):
self.resultsLT_layout.addWidget(disp)
PyDMApplication.instance().establish_widget_connections(disp)
def __init__(self, parent=None, args=[], macros=None):
super(TableDisplay, self).__init__(parent=parent,
args=args,
macros=macros)
table_batch = len(devices) * 8 # if len(devices) * 8 < 30 else 30
horizontal_header_labels = [
'Channel Name', 'Device Name', 'Device Alpha', 'Temperature',
'Temperature Raw'
]
self.tdc = MBTempTableDataController(
self.table,
devices=devices,
table_batch=table_batch,
horizontal_header_labels=horizontal_header_labels)
self.tfFilter.editingFinished.connect(
lambda: self.filter(self.tfFilter.text()))
self.btnNavLeft.clicked.connect(lambda: self.update_navbar(False))
self.btnNavLeft.setIcon(IconFont().icon('arrow-left'))
self.btnNavRight.clicked.connect(lambda: self.update_navbar(True))
self.btnNavRight.setIcon(IconFont().icon('arrow-right'))
PyDMApplication.instance().hide_nav_bar = True
def __init__(self, parent=None, args=None, macros=None):
super(TableDisplay, self).__init__(parent=parent,
args=args,
macros=macros)
table_batch = 0
for device in DEVICES:
if not device.enable:
continue
for channel in device.channels:
if not channel.enable:
continue
table_batch += 1
horizontal_header_labels = [
"Channel Name",
"Device Name",
"Device Alpha",
"Temperature",
]
# "Temperature Raw",]
self.tdc = MBTempTableDataController(
self.table,
devices=DEVICES,
table_batch=table_batch,
horizontal_header_labels=horizontal_header_labels,
)
self.tfFilter.editingFinished.connect(
lambda: self.filter(self.tfFilter.text()))
self.TempMax.valueChanged.connect(
lambda: self.tdc.update_TempMaxMin(Maximum=self.TempMax.value()))
self.TempMin.valueChanged.connect(
lambda: self.tdc.update_TempMaxMin(Minimum=self.TempMin.value()))
self.btnNavLeft.clicked.connect(lambda: self.update_navbar(False))
self.btnNavLeft.setIcon(IconFont().icon("arrow-left"))
self.btnNavRight.clicked.connect(lambda: self.update_navbar(True))
self.btnNavRight.setIcon(IconFont().icon("arrow-right"))
PyDMApplication.instance().hide_nav_bar = True
def __init__(self,
parent=None,
macros=None,
args=None,
average="Gamma Detectors"):
super().__init__(parent=parent,
args=args,
macros=macros,
ui_filename=OVERVIEW_UI)
self.setWindowTitle("Overview of Time Bases")
self.alpha = [0, 0, 0, 0, 0] # Initially doesn't show none graph
self.average = average
self.groups = ["{:0>2d}".format(sec) for sec in range(1, 21)]
self.x = numpy.arange(len(self.groups))
self.width = 0.185
self.dict_pvs_tb = {}
self.dict_macro_gamma = {}
self.gamma_1 = [0] * 20
self.gamma_2 = [0] * 20
self.gamma_3 = [0] * 20
self.gamma_4 = [0] * 20
self.gamma_5 = [0] * 20
self.fig, self.ax = plt.subplots(figsize=(12, 8)) #
self.fig.canvas.set_window_title("Overview") #
self.fig.subplots_adjust(left=0.05, bottom=0.08, right=0.95,
top=0.95) # Adjustments of graphics
plt.subplots_adjust(left=0.1) #
self.fig.text(0.03, 0.25, "Control of\n Graphic", ha="center")
self.ani = FuncAnimation(fig=self.fig,
func=self.animate,
interval=10000)
self.animate()
self.checkButtons_setting()
plt.show()
if self.average == "Gamma Detectors": # If user chose 'Counting - Overview'
for PV in range(1, 21):
for s_sec in range(2):
self.dict_pvs_tb["valueTB{}{}".format(
PV, counters[s_sec]
)] = "ca://SI-{:0>2d}{}:CO-Counter:TimeBase-SP".format(
PV, counters[s_sec])
if PV != 20:
self.dict_pvs_tb["valueTB{}M1".format(
PV
)] = "ca://SI-{:0>2d}M1:CO-Counter:TimeBase-SP".format(PV +
1)
else:
self.dict_pvs_tb["valueTB{}M1".format(
PV)] = "ca://SI-01M1:CO-Counter:TimeBase-SP"
for location in range(1, 21):
for s_sec in range(len(Det_Location)):
self.dict_macro_gamma["DET{}".format(
s_sec)] = "SI-{:0>2d}{}:CO-Gamma".format(
location, Det_Location[s_sec])
if s_sec < 3:
self.dict_macro_gamma["TimeBase{}".format(
s_sec)] = "{}".format(
self.dict_pvs_tb["valueTB{}{}".format(
location, counters[s_sec])])
a = PyDMChannel(
address="ca://SI-{:0>2d}{}:CO-Gamma:Count-Mon".format(
location, Det_Location[s_sec]),
value_slot=partial(self.plot,
location=location,
det=s_sec),
) # Connect to Counting PVs
a.connect()
self.disp = PyDMEmbeddedDisplay(
parent=self) # Creates the window of Time Bases
PyDMApplication.instance().close_widget_connections(self.disp)
self.disp.macros = json.dumps(self.dict_macro_gamma)
self.disp.filename = LAYOUT_OVERVIEW_UI
self.disp.setMinimumWidth(300)
self.disp.setMinimumHeight(140)
self.verticalLayout.addWidget(self.disp)
PyDMApplication.instance().establish_widget_connections(
self.disp)
else: # If user chose some Average
for location in range(1, 21):
for s_sec in range(len(Det_Location)):
a = PyDMChannel(
address="ca://SI-{:0>2d}{}:CO-Gamma:{}-Mon".format(
location, Det_Location[s_sec], self.average),
value_slot=partial(self.plot,
location=location,
det=s_sec),
) # Connect to Averages PVs
a.connect()