class CreateAdvancedWidget(CreateTaskBase):
"""Widget used to create advanced collection methods
"""
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "Advanced"
)
if not name:
self.setObjectName("create_advanced_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._advanced_methods = None
self._grid_map = {}
self.spacing = [0, 0]
self.dc_selected = False
self.init_models()
# Graphic elements ----------------------------------------------------
self._advanced_methods_widget = QtImport.load_ui_file(
"advanced_methods_layout.ui"
)
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._acq_widget.grid_mode = True
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._advanced_methods_widget)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
self._acq_widget.acq_widget_layout.osc_range_ledit.textEdited.connect(
self.grid_osc_range_ledit_changed
)
self._acq_widget.acq_widget_layout.osc_total_range_ledit.textEdited.connect(
self.grid_osc_total_range_ledit_changed
)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._advanced_methods_widget.grid_treewidget.itemSelectionChanged.connect(
self.grid_treewidget_item_selection_changed
)
self._advanced_methods_widget.draw_grid_button.clicked.connect(
self.draw_grid_button_clicked
)
self._advanced_methods_widget.remove_grid_button.clicked.connect(
self.remove_grid_button_clicked
)
self._advanced_methods_widget.hor_spacing_ledit.textEdited.connect(
self.hor_spacing_changed
)
self._advanced_methods_widget.ver_spacing_ledit.textEdited.connect(
self.ver_spacing_changed
)
self._advanced_methods_widget.move_right_button.clicked.connect(
lambda: self.move_grid("right")
)
self._advanced_methods_widget.move_left_button.clicked.connect(
lambda: self.move_grid("left")
)
self._advanced_methods_widget.move_up_button.clicked.connect(
lambda: self.move_grid("up")
)
self._advanced_methods_widget.move_down_button.clicked.connect(
lambda: self.move_grid("down")
)
self._advanced_methods_widget.overlay_cbox.toggled.connect(self.overlay_toggled)
self._advanced_methods_widget.overlay_slider.valueChanged.connect(
self.overlay_alpha_changed
)
self._advanced_methods_widget.overlay_color_button.clicked.connect(
self.overlay_change_color
)
self._advanced_methods_widget.move_to_grid_button.clicked.connect(
self.move_to_grid
)
# Other ---------------------------------------------------------------
self._acq_widget.use_osc_start(False)
self._acq_widget.use_kappa(False)
self._acq_widget.acq_widget_layout.num_images_label.setEnabled(False)
self._acq_widget.acq_widget_layout.num_images_ledit.setEnabled(False)
for col in range(self._advanced_methods_widget.grid_treewidget.columnCount()):
self._advanced_methods_widget.grid_treewidget.resizeColumnToContents(col)
self._acq_widget.acq_widget_layout.osc_total_range_label.setText(
"Total osc. range per line"
)
self._advanced_methods = (
api.beamline_setup.get_advanced_methods()
)
if self._advanced_methods:
for method in self._advanced_methods:
self._advanced_methods_widget.method_combo.addItem(method)
else:
self.setEnabled(False)
def enable_widgets(self, state):
return
self._acq_widget.setEnabled(state)
self._data_path_widget.setEnabled(state)
def init_models(self):
"""
Descript. :
"""
CreateTaskBase.init_models(self)
self._init_models()
def _init_models(self):
"""
Descript. :
"""
CreateTaskBase.init_models(self)
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = api.beamline_setup.detector_has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = api.beamline_setup.get_default_acquisition_parameters(
"default_advanced_values"
)
def init_api(self):
"""
In plate mode oscillation start is in the middle of the grid
"""
CreateTaskBase.init_api(self)
self._acq_widget.acq_widget_layout.osc_start_label.setText(
"Oscillation middle:"
)
hor_size, ver_size = api.beam_info.get_beam_size()
self.spacing[0] = hor_size
self.spacing[1] = ver_size
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.1f" % (hor_size * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.1f" % (ver_size * 1000)
)
api.graphics.connect("shapeCreated", self.shape_created)
api.graphics.connect("shapeChanged", self.shape_changed)
api.graphics.connect("shapeDeleted", self.shape_deleted)
def set_beam_info(self, beam_info):
self.spacing[0] = beam_info["size_x"]
self.spacing[1] = beam_info["size_y"]
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.1f" % (beam_info["size_x"] * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.1f" % (beam_info["size_x"] * 1000)
)
def approve_creation(self):
"""
Descript. :
"""
result = CreateTaskBase.approve_creation(self)
selected_grid = self.get_selected_shapes()[0]
if not selected_grid:
msg = "No grid selected. Please select a grid to continue!"
logging.getLogger("GUI").warning(msg)
result = False
# selected_grid = api.graphics.get_auto_grid()
else:
grid_properties = selected_grid.get_properties()
exp_time = float(self._acq_widget.acq_widget_layout.exp_time_ledit.text())
speed = grid_properties["yOffset"] / exp_time
if speed >= 2.25:
logging.getLogger("GUI").error(
"Translation speed %.3f is above the limit 2.25" % speed
)
return False
osc_range_per_frame = float(
self._acq_widget.acq_widget_layout.osc_range_ledit.text()
)
speed = osc_range_per_frame / exp_time
if speed >= 300:
logging.getLogger("GUI").error(
"Rotation speed per frame %.3f is above the limit 300" % speed
)
return False
return result
def update_processing_parameters(self, crystal):
"""
Descript. :
"""
return
def single_item_selection(self, tree_item):
"""
Descript. :
"""
CreateTaskBase.single_item_selection(self, tree_item)
self.dc_selected = False
if isinstance(tree_item, queue_item.SampleQueueItem):
pass
elif isinstance(tree_item, queue_item.BasketQueueItem):
pass
# self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem) or isinstance(
tree_item, queue_item.XrayCenteringQueueItem
):
if isinstance(tree_item, queue_item.XrayCenteringQueueItem):
data_collection = tree_item.get_model().reference_image_collection
else:
data_collection = tree_item.get_model()
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if data_collection.is_mesh():
# sample_data_model = self.get_sample_item(tree_item).get_model()
# self._acq_widget.disable_inverse_beam(True)
# api.graphics.de_select_all()
api.graphics.select_shape(data_collection.grid)
self._advanced_methods_widget.grid_treewidget.setCurrentItem(
self._grid_map[data_collection.grid]
)
self._path_template = data_collection.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = data_collection.acquisitions[
0
].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
self.dc_selected = True
else:
self.setDisabled(True)
self.grid_treewidget_item_selection_changed()
def _create_task(self, sample, shape):
"""Creates tasks based on selected grids
:param sample: selected sample object
:type sample: SampleQueueItem
:param shape: selected shape
:type shape: GraphicsLib.GraphicsItem
"""
tasks = []
selected_grid = self.get_selected_shapes()[0]
mesh_dc = self._create_dc_from_grid(sample, selected_grid)
exp_type = str(self._advanced_methods_widget.method_combo.currentText())
if exp_type == "MeshScan":
tasks.append(mesh_dc)
elif exp_type == "XrayCentering":
xray_centering = queue_model_objects.XrayCentering(mesh_dc)
tasks.append(xray_centering)
else:
logging.getLogger("GUI").warning(
"Method %s does not exist in queue_model_objects" % exp_type
)
mesh_dc.run_processing_parallel = exp_type
return tasks
def shape_created(self, shape, shape_type):
"""If a grid is created then adds it to the treewidget.
A binding between graphical grid and treewidget item is based
on the self._grid_map
:param shape: graphics object
:type shape: GraphicsLib.GraphicsItem
:param shape_type: type of the object (point, line, grid)
:type shape_type: str
"""
if shape_type == "Grid":
self._advanced_methods_widget.grid_treewidget.clearSelection()
grid_properties = shape.get_properties()
info_str_list = []
info_str_list.append(grid_properties["name"])
info_str_list.append("%d" % grid_properties["num_lines"])
info_str_list.append("%d" % grid_properties["num_images_per_line"])
if not self.dc_selected:
exp_time = max(
float(grid_properties["yOffset"] / 2.245),
self._acq_widget.exp_time_validator.bottom() + 0.00001,
)
self._acq_widget.acq_widget_layout.exp_time_ledit.setText(
"%.6f" % exp_time
)
grid_treewidget_item = QtImport.QTreeWidgetItem(
self._advanced_methods_widget.grid_treewidget, info_str_list
)
self._grid_map[shape] = grid_treewidget_item
if not self.dc_selected:
grid_treewidget_item.setSelected(True)
self.grid_treewidget_item_selection_changed()
if self._acq_widget.acq_widget_layout.max_osc_range_cbx.isChecked():
self._acq_widget.update_osc_total_range_limits(
grid_properties["num_images_per_line"]
)
else:
self.update_grid_osc_total_range()
def shape_deleted(self, shape, shape_type):
"""Removes shape from QTreeWidget and self._grid_map
:param shape: graphics object
:type shape: QtGraphicsLib.GraphicsItem
:param shape_type: type of the object (point, line, grid)
:type shape_type: str
"""
if self._grid_map.get(shape):
treewidget_item_modelindex = self._advanced_methods_widget.grid_treewidget.indexFromItem(
self._grid_map[shape]
)
self._advanced_methods_widget.grid_treewidget.takeTopLevelItem(
treewidget_item_modelindex.row()
)
self._grid_map.pop(shape)
def grid_treewidget_item_selection_changed(self):
"""Updates acquisition parameters based on the selected grid.
"""
self.enable_grid_controls(False)
for item in self._grid_map.items():
grid = item[0]
treewidget_item = item[1]
if treewidget_item.isSelected():
grid_properties = grid.get_properties()
cell_count = (
grid_properties["num_lines"]
* grid_properties["num_images_per_line"]
)
self._acq_widget.acq_widget_layout.num_images_ledit.setText(
"%d" % cell_count
)
self._acq_widget.acq_widget_layout.first_image_ledit.setText(
"%d" % grid_properties["first_image_num"]
)
centred_point = grid.get_centred_position()
self._acq_widget.acq_widget_layout.kappa_ledit.setText(
"%.2f" % float(centred_point.kappa)
)
self._acq_widget.acq_widget_layout.kappa_phi_ledit.setText(
"%.2f" % float(centred_point.kappa_phi)
)
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.2f" % (float(grid_properties["xOffset"]) * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.2f" % (float(grid_properties["yOffset"]) * 1000)
)
treewidget_item.setText(3, str(grid_properties["num_lines"]))
treewidget_item.setText(4, str(grid_properties["num_images_per_line"]))
grid.setSelected(True)
self.enable_grid_controls(True)
else:
grid.setSelected(False)
def get_selected_shapes(self):
"""Returns selected grids
:returns: selected grid objects
"""
shapes = []
for grid, grid_treewidget_item in self._grid_map.items():
if grid_treewidget_item.isSelected():
shapes.append(grid)
return shapes
def get_selected_grid_properties(self):
"""Returns properties of the selected grid
:returns: dict with properties
"""
for grid, grid_treewidget_item in self._grid_map.items():
if grid_treewidget_item.isSelected():
return grid.get_properties()
def draw_grid_button_clicked(self):
"""Starts grid drawing
"""
api.graphics.create_grid(self.spacing)
def remove_grid_button_clicked(self):
"""Removes selected grid
"""
grid_to_delete = self.get_selected_shapes()[0]
if grid_to_delete:
api.graphics.delete_shape(grid_to_delete)
self._advanced_methods_widget.move_to_grid_button.setEnabled(False)
def hor_spacing_changed(self, value):
"""Updates spacing of the selected grid
"""
try:
self.spacing[0] = (
float(self._advanced_methods_widget.hor_spacing_ledit.text()) / 1000
)
self.set_spacing()
except BaseException:
pass
def ver_spacing_changed(self, value):
"""Updates spacing of the selected grid
"""
try:
self.spacing[1] = (
float(self._advanced_methods_widget.ver_spacing_ledit.text()) / 1000
)
self.set_spacing()
except BaseException:
pass
def set_spacing(self):
if 0 in self.spacing:
return
for grid, treewidget_item in self._grid_map.items():
if treewidget_item.isSelected():
grid.set_spacing(
self.spacing,
adjust_size=self._advanced_methods_widget.adjust_size_cbox.isChecked(),
)
grid_properties = grid.get_properties()
treewidget_item.setText(1, str(grid_properties["num_lines"]))
treewidget_item.setText(2, str(grid_properties["num_images_per_line"]))
cell_count = (
grid_properties["num_lines"]
* grid_properties["num_images_per_line"]
)
self._acq_widget.acq_widget_layout.num_images_ledit.setText(
str(
grid_properties["num_lines"]
* grid_properties["num_images_per_line"]
)
)
def move_to_grid(self):
"""Moves diffractometer to the center of the grid
"""
grid = self.get_selected_shapes()[0]
if grid:
api.diffractometer.move_to_centred_position(
grid.get_centred_position()
)
def overlay_toggled(self, state):
"""Toggles (on/off) overlay
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.set_display_overlay(state)
def overlay_alpha_changed(self, alpha_value):
"""Changes the transperency of the grid
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.set_fill_alpha(alpha_value)
def overlay_change_color(self):
"""Changes the default color (blue) of overlay
"""
color = QtImport.QColorDialog.getColor()
grid = self.get_selected_shapes()[0]
if color.isValid() and grid:
grid.set_base_color(color)
def move_grid(self, direction):
"""Moves grid by one pix in selected direction
:param direction: direction to move (right, left, up, down)
:type direction: str
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.move_by_pix(direction)
api.graphics.update_grid_motor_positions(grid)
def enable_grid_controls(self, state):
"""Enables grid controls if a grid is selectd
"""
self._advanced_methods_widget.overlay_cbox.setEnabled(state)
self._advanced_methods_widget.overlay_slider.setEnabled(state)
self._advanced_methods_widget.overlay_color_button.setEnabled(state)
self._advanced_methods_widget.move_to_grid_button.setEnabled(state)
self._advanced_methods_widget.remove_grid_button.setEnabled(state)
self._advanced_methods_widget.move_right_button.setEnabled(state)
self._advanced_methods_widget.move_left_button.setEnabled(state)
self._advanced_methods_widget.move_up_button.setEnabled(state)
self._advanced_methods_widget.move_down_button.setEnabled(state)
self._acq_widget.acq_widget_layout.max_osc_range_cbx.setEnabled(
state and self._in_plate_mode
)
self.enable_widgets(state)
self._acq_widget.emit_acq_parameters_changed()
def grid_osc_range_ledit_changed(self, new_value):
"""Osc range per frame changed
:param new_value: new value
:type new_value: str
"""
self.update_grid_osc_total_range()
def grid_osc_total_range_ledit_changed(self, new_value):
"""Updates osc range per frame
:param new_value: new value
:type new_value: str
"""
grid_properties = self.get_selected_grid_properties()
if grid_properties:
try:
self._acq_widget.acq_widget_layout.osc_range_ledit.setText(
"%.4f"
% (float(new_value) / grid_properties["num_images_per_line"] - 1e-5)
)
self._acq_widget.emit_acq_parameters_changed()
except BaseException:
pass
def update_grid_osc_total_range(self):
"""Updates osc range per line
"""
grid_properties = self.get_selected_grid_properties()
if grid_properties:
self._acq_widget.acq_widget_layout.osc_total_range_ledit.setText(
str(
float(self._acq_widget.acq_widget_layout.osc_range_ledit.text())
* grid_properties["num_images_per_line"]
)
)
def set_osc_total_range(self, num_images=None, mesh=False):
grid_properties = self.get_selected_grid_properties()
if grid_properties:
CreateTaskBase.set_osc_total_range(
self, grid_properties["num_images_per_line"], mesh=True
)
class CreateXRFSpectrumWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "XRF spectrum"
)
if name is not None:
self.setObjectName(name)
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.count_time = None
self.xrf_spectrum_model = None
self.init_models()
# Graphic elements ----------------------------------------------------
self._data_path_widget = DataPathWidget(
self, data_model=self._path_template, layout="vertical"
)
_parameters_gbox = QtImport.QGroupBox("Parameters", self)
_count_time_label = QtImport.QLabel("Count time (sec.):", _parameters_gbox)
self.count_time_ledit = QtImport.QLineEdit("1", _parameters_gbox)
# self.count_time_ledit.setMaximumWidth(75)
self.adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", _parameters_gbox
)
self.adjust_transmission_cbox.setChecked(True)
# Layout --------------------------------------------------------------
_parameters_gbox_hlayout = QtImport.QHBoxLayout(_parameters_gbox)
_parameters_gbox_hlayout.addWidget(_count_time_label)
_parameters_gbox_hlayout.addWidget(self.count_time_ledit)
_parameters_gbox_hlayout.addWidget(self.adjust_transmission_cbox)
_parameters_gbox_hlayout.addStretch(0)
_parameters_gbox_hlayout.setSpacing(2)
_parameters_gbox_hlayout.setContentsMargins(0, 0, 0, 0)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(_parameters_gbox)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self.adjust_transmission_cbox.stateChanged.connect(
self.adjust_transmission_state_changed
)
# Other ---------------------------------------------------------------
self._data_path_widget.data_path_layout.compression_cbox.setVisible(False)
def set_expert_mode(self, state):
self.adjust_transmission_cbox.setEnabled(state)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def init_models(self):
CreateTaskBase.init_models(self)
self.xrf_spectrum_model = queue_model_objects.XRFSpectrum()
self._path_template.start_num = 1
self._path_template.num_files = 1
self._path_template.suffix = "raw"
self._path_template.compression = False
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
self.xrf_spectrum_model = tree_item.get_model()
if isinstance(tree_item, queue_item.XRFSpectrumQueueItem):
if self.xrf_spectrum_model.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if self.xrf_spectrum_model.get_path_template():
self._path_template = self.xrf_spectrum_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
elif not (
isinstance(tree_item, queue_item.SampleQueueItem)
or isinstance(tree_item, queue_item.DataCollectionGroupQueueItem)
):
self.setDisabled(True)
def approve_creation(self):
# base_result = CreateTaskBase.approve_creation(self)
base_result = True
self.count_time = None
try:
self.count_time = float(str(self.count_time_ledit.text()))
except BaseException:
logging.getLogger("GUI").error("Incorrect count time value.")
return base_result and self.count_time
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
data_collections = []
if self.count_time is not None:
if not shape:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
if isinstance(shape, GraphicsItemPoint):
snapshot = api.graphics.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
path_template = self._create_path_template(sample, self._path_template)
xrf_spectrum = queue_model_objects.XRFSpectrum(sample, path_template, cpos)
xrf_spectrum.set_name(path_template.get_prefix())
xrf_spectrum.set_number(path_template.run_number)
xrf_spectrum.count_time = self.count_time
xrf_spectrum.adjust_transmission = self.adjust_transmission_cbox.isChecked()
data_collections.append(xrf_spectrum)
else:
logging.getLogger("GUI").error("No count time specified.")
return data_collections
def adjust_transmission_state_changed(self, state):
self.xrf_spectrum_model.adjust_transmission = state > 0
class XRFSpectrumParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="xrf_spectrum_parameters_widget"):
QtImport.QWidget.__init__(self, parent)
if name is not None:
self.setObjectName(name)
# Internal variables --------------------------------------------------
self.xrf_spectrum_model = queue_model_objects.XRFSpectrum()
self._tree_view_item = None
# Graphic elements ----------------------------------------------------
_top_widget = QtImport.QWidget(self)
_parameters_widget = QtImport.QWidget(_top_widget)
self.data_path_widget = DataPathWidget(_parameters_widget)
self.other_parameters_gbox = QtImport.QGroupBox(
"Other parameters", _parameters_widget)
self.count_time_label = QtImport.QLabel("Count time:",
self.other_parameters_gbox)
self.count_time_ledit = QtImport.QLineEdit(self.other_parameters_gbox)
self.count_time_ledit.setFixedWidth(50)
self.adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", self.other_parameters_gbox)
self.adjust_transmission_cbox.hide()
self.mca_spectrum_widget = McaSpectrumWidget(self)
self.snapshot_widget = SnapshotWidget(self)
# Layout -------------------------------------------------------------
_other_parameters_gbox_hlayout = QtImport.QHBoxLayout(
self.other_parameters_gbox)
_other_parameters_gbox_hlayout.addWidget(self.count_time_label)
_other_parameters_gbox_hlayout.addWidget(self.count_time_ledit)
_other_parameters_gbox_hlayout.addWidget(self.adjust_transmission_cbox)
_other_parameters_gbox_hlayout.addStretch(0)
_other_parameters_gbox_hlayout.setSpacing(2)
_other_parameters_gbox_hlayout.setContentsMargins(0, 0, 0, 0)
_parameters_widget_layout = QtImport.QVBoxLayout(_parameters_widget)
_parameters_widget_layout.addWidget(self.data_path_widget)
_parameters_widget_layout.addWidget(self.other_parameters_gbox)
_parameters_widget_layout.addStretch(0)
_parameters_widget_layout.setSpacing(2)
_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_top_widget_layout = QtImport.QHBoxLayout(_top_widget)
_top_widget_layout.addWidget(_parameters_widget)
_top_widget_layout.addWidget(self.snapshot_widget)
_top_widget_layout.setSpacing(2)
_top_widget_layout.addStretch(0)
_top_widget_layout.setContentsMargins(0, 0, 0, 0)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(_top_widget)
_main_vlayout.addWidget(self.mca_spectrum_widget)
_main_vlayout.setSpacing(2)
_main_vlayout.setContentsMargins(0, 0, 0, 0)
# SizePolicies -------------------------------------------------------
self.mca_spectrum_widget.setSizePolicy(QtImport.QSizePolicy.Expanding,
QtImport.QSizePolicy.Expanding)
_top_widget.setSizePolicy(QtImport.QSizePolicy.Expanding,
QtImport.QSizePolicy.Fixed)
# Qt signal/slot connections ------------------------------------------
self.data_path_widget.data_path_layout.prefix_ledit.textChanged.connect(
self._prefix_ledit_change)
self.data_path_widget.data_path_layout.run_number_ledit.textChanged.connect(
self._run_number_ledit_change)
self.count_time_ledit.textChanged.connect(
self._count_time_ledit_change)
# Other ---------------------------------------------------------------
self.data_path_widget.data_path_layout.compression_cbox.setVisible(
False)
if HWR.beamline.xrf_spectrum is None:
HWR.beamline.xrf_spectrum.connect("xrfSpectrumFinished",
self.spectrum_finished)
def _prefix_ledit_change(self, new_value):
self.xrf_spectrum_model.set_name(str(new_value))
self._tree_view_item.setText(
0, self.xrf_spectrum_model.get_display_name())
def _run_number_ledit_change(self, new_value):
if str(new_value).isdigit():
self.xrf_spectrum_model.set_number(int(new_value))
self._tree_view_item.setText(
0, self.xrf_spectrum_model.get_display_name())
def _count_time_ledit_change(self, new_value):
if str(new_value).isdigit():
self.xrf_spectrum_model.set_count_time(float(new_value))
def populate_widget(self, item):
self._tree_view_item = item
self.xrf_spectrum_model = item.get_model()
executed = self.xrf_spectrum_model.is_executed()
self.data_path_widget.setEnabled(not executed)
self.other_parameters_gbox.setEnabled(not executed)
# self.mca_spectrum_widget.setEnabled(executed)
if executed:
result = self.xrf_spectrum_model.get_spectrum_result()
self.mca_spectrum_widget.set_data(result.mca_data,
result.mca_calib,
result.mca_config)
else:
self.mca_spectrum_widget.clear()
self.data_path_widget.update_data_model(
self.xrf_spectrum_model.path_template)
self.count_time_ledit.setText(str(self.xrf_spectrum_model.count_time))
image = self.xrf_spectrum_model.centred_position.snapshot_image
self.snapshot_widget.display_snapshot(image, width=400)
def spectrum_finished(self, mca_data, mca_calib, mca_config):
self.mca_spectrum_widget.set_data(mca_data, mca_calib, mca_config)
class CreateEnergyScanWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name, fl, "Energy scan")
if not name:
self.setObjectName("create_energy_scan_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._periodic_table_widget = PeriodicTableWidget(self)
self._data_path_widget = DataPathWidget(
self, data_model=self._path_template, layout="vertical"
)
_parameters_gbox = QtImport.QGroupBox("Parameters", self)
self._adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", _parameters_gbox
)
self._adjust_transmission_cbox.setChecked(False)
self._adjust_transmission_cbox.setEnabled(True)
self._max_transmission_label = QtImport.QLabel("Maximum transmission:")
self._max_transmission_ledit = QtImport.QLineEdit("20", _parameters_gbox)
self._max_transmission_ledit.setFixedWidth(80)
self._max_transmission_ledit.setEnabled(False)
self._comments_widget = CommentsWidget(self)
# Layout --------------------------------------------------------------
_parameters_gbox_hlayout = QtImport.QGridLayout(_parameters_gbox)
_parameters_gbox_hlayout.addWidget(self._adjust_transmission_cbox, 0, 0)
_parameters_gbox_hlayout.addWidget(self._max_transmission_label, 1, 0)
_parameters_gbox_hlayout.addWidget(self._max_transmission_ledit, 1, 1)
_parameters_gbox_hlayout.setColumnStretch(2, 1)
_parameters_gbox_hlayout.setSpacing(2)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._periodic_table_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(_parameters_gbox)
_main_vlayout.addWidget(self._comments_widget)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.setSpacing(6)
_main_vlayout.addStretch(10)
# SizePolicies --------------------------------------------------------
self._comments_widget.setFixedHeight(100)
# Qt signal/slot connections ------------------------------------------
# self._periodic_table_widget.elementEdgeSelectedSignal.connect(\
# self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._adjust_transmission_cbox.stateChanged.connect(
self.adjust_transmission_state_changed
)
self._max_transmission_ledit.textEdited.connect(
self.max_transmission_value_changed
)
self._data_path_widget.data_path_layout.compression_cbox.setVisible(False)
try:
self._periodic_table_widget.set_elements(
HWR.beamline.energy_scan.getElements()
)
max_transmission_value = (
HWR.beamline.energy_scan.get_max_transmission_value()
)
self._adjust_transmission_cbox.setEnabled(True)
self._adjust_transmission_cbox.setChecked(True)
HWR.beamline.energy_scan.adjust_transmission(True)
if max_transmission_value:
self._max_transmission_ledit.setText("%.2f" % max_transmission_value)
except BaseException:
pass
def set_expert_mode(self, state):
self._adjust_transmission_cbox.setEnabled(state)
self._max_transmission_label.setEnabled(state)
self._max_transmission_ledit.setEnabled(state)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def init_models(self):
CreateTaskBase.init_models(self)
self.enery_scan = queue_model_objects.EnergyScan()
self._path_template.start_num = 1
self._path_template.num_files = 1
self._path_template.suffix = "raw"
self._path_template.compression = False
def init_data_path_model(self):
# Initialize the path_template of the widget to default
# values read from the beamline setup
if self._data_path_widget:
if hasattr(HWR.beamline.session, 'get_secondary_image_directory'):
self._data_path_widget.set_base_image_directory(
HWR.beamline.session.get_secondary_image_directory()
)
self._data_path_widget.set_base_process_directory(
HWR.beamline.session.get_base_process_directory()
)
(data_directory, proc_directory) = self.get_default_directory()
self._path_template = HWR.beamline.get_default_path_template()
self._path_template.directory = data_directory
self._path_template.process_directory = proc_directory
self._path_template.base_prefix = self.get_default_prefix()
self._path_template.run_number = HWR.beamline.queue_model.get_next_run_number(
self._path_template
)
self._path_template.compression = self._enable_compression
else:
self._path_template = queue_model_objects.PathTemplate()
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
escan_model = tree_item.get_model()
if isinstance(tree_item, queue_item.EnergyScanQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if escan_model.get_path_template():
self._path_template = escan_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
elif not (
isinstance(tree_item, queue_item.SampleQueueItem)
or isinstance(tree_item, queue_item.DataCollectionGroupQueueItem)
):
self.setDisabled(True)
def approve_creation(self):
base_result = CreateTaskBase.approve_creation(self)
selected_element, selected_edge = (
self._periodic_table_widget.get_selected_element_edge()
)
if not selected_element:
logging.getLogger("GUI").warning(
"No element selected, please select an element."
)
return base_result and selected_element
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape, comments=None):
data_collections = []
selected_element, selected_edge = (
self._periodic_table_widget.get_selected_element_edge()
)
if selected_element:
if not shape:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_scene_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
if isinstance(shape, GraphicsItemPoint):
snapshot = HWR.beamline.sample_view.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
path_template = self._create_path_template(sample, self._path_template)
energy_scan = queue_model_objects.EnergyScan(sample, path_template, cpos)
energy_scan.set_name(path_template.get_prefix())
energy_scan.set_number(path_template.run_number)
energy_scan.element_symbol = selected_element
energy_scan.edge = selected_edge
data_collections.append(energy_scan)
self._path_template.run_number += 1
else:
logging.getLogger("GUI").info(
"No element selected, please select an element."
)
return data_collections
def element_edge_selected(self, element, edge):
if len(self._current_selected_items) == 1:
item = self._current_selected_items[0]
if isinstance(item, queue_item.EnergyScanQueueItem):
item.get_model().element_symbol = str(element)
item.get_model().edge = str(edge)
def adjust_transmission_state_changed(self, state):
self._max_transmission_ledit.setEnabled(state)
HWR.beamline.energy_scan.adjust_transmission(state)
def max_transmission_value_changed(self, value):
try:
max_transmission = float(value)
HWR.beamline.energy_scan.set_max_transmission(max_transmission)
except BaseException:
pass
class EnergyScanParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="energy_scan_tab_widget"):
QtImport.QWidget.__init__(self, parent)
if name is not None:
self.setObjectName(name)
# Internal variables --------------------------------------------------
self.energy_scan_model = queue_model_objects.EnergyScan()
self._tree_view_item = None
# Graphic elements ----------------------------------------------------
_top_widget = QtImport.QWidget(self)
_parameters_widget = QtImport.QWidget(_top_widget)
self.periodic_table_widget = PeriodicTableWidget(_parameters_widget)
self.data_path_widget = DataPathWidget(_parameters_widget)
self.data_path_widget.data_path_layout.file_name_label.setText("")
self.data_path_widget.data_path_layout.file_name_value_label.hide()
self.snapshot_widget = SnapshotWidget(self)
self.scan_actual_plot_widget = PymcaPlotWidget(self, True)
self.scan_result_plot_widget = PymcaPlotWidget(self, False)
self.chooch_plot_widget = PymcaPlotWidget(self, False)
# self.scan_actual_plot_widget = TwoAxisPlotWidget(self, True)
# self.chooch_plot_widget = TwoAxisPlotWidget(self, False)
# Layout -------------------------------------------------------------
_parameters_widget_layout = QtImport.QVBoxLayout()
_parameters_widget_layout.addWidget(self.periodic_table_widget)
_parameters_widget_layout.addWidget(self.data_path_widget)
_parameters_widget_layout.addStretch(0)
_parameters_widget_layout.setSpacing(2)
_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_parameters_widget.setLayout(_parameters_widget_layout)
_top_widget_hlayout = QtImport.QHBoxLayout(self)
_top_widget_hlayout.addWidget(_parameters_widget)
_top_widget_hlayout.addWidget(self.snapshot_widget)
_top_widget_hlayout.addStretch(0)
_top_widget_hlayout.setSpacing(2)
_top_widget_hlayout.setContentsMargins(0, 0, 0, 0)
_top_widget.setLayout(_top_widget_hlayout)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(_top_widget)
_main_vlayout.addWidget(self.scan_actual_plot_widget)
_main_vlayout.addWidget(self.scan_result_plot_widget)
_main_vlayout.addWidget(self.chooch_plot_widget)
_main_vlayout.setSpacing(5)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# _main_vlayout.addStretch(0)
self.setLayout(_main_vlayout)
# SizePolicies --------------------------------------------------------
self.scan_actual_plot_widget.setSizePolicy(
QtImport.QSizePolicy.Fixed, QtImport.QSizePolicy.Expanding
)
self.chooch_plot_widget.setSizePolicy(
QtImport.QSizePolicy.Fixed, QtImport.QSizePolicy.Expanding
)
# Qt signal/slot connections ------------------------------------------
# qt.QObject.connect(self.periodic_table_widget, qt.PYSIGNAL('edgeSelected'),
# self.element_clicked)
self.data_path_widget.data_path_layout.prefix_ledit.textChanged.connect(
self._prefix_ledit_change
)
self.data_path_widget.data_path_layout.run_number_ledit.textChanged.connect(
self._run_number_ledit_change
)
# Other ---------------------------------------------------------------
self.scan_actual_plot_widget.hide()
self.scan_result_plot_widget.hide()
self.data_path_widget.data_path_layout.compression_cbox.setVisible(False)
if api.energyscan is not None:
api.energyscan.connect(
"energyScanStarted", self.energy_scan_started
)
api.energyscan.connect("scanNewPoint", self.energy_scan_new_point)
api.energyscan.connect("choochFinished", self.chooch_finished)
def _prefix_ledit_change(self, new_value):
self.energy_scan_model.set_name(str(new_value))
self._tree_view_item.setText(0, self.energy_scan_model.get_name())
def _run_number_ledit_change(self, new_value):
if str(new_value).isdigit():
self.energy_scan_model.set_number(int(new_value))
self._tree_view_item.setText(0, self.energy_scan_model.get_name())
def tab_changed(self):
if self._tree_view_item:
self.populate_widget(self._tree_view_item)
def populate_widget(self, item):
self._tree_view_item = item
self.energy_scan_model = item.get_model()
executed = self.energy_scan_model.is_executed()
is_running = self.energy_scan_model.is_running()
self.data_path_widget.setDisabled(executed or is_running)
self.periodic_table_widget.setDisabled(executed or is_running)
# self.scan_actual_plot_widget.setEnabled()
# self.scan_actual_plot_widget.setEnabled(not executed)
# self.chooch_plot_widget.setEnabled(not executed)
width = self.data_path_widget.width() + self.snapshot_widget.width()
self.scan_actual_plot_widget.setFixedWidth(width)
self.scan_result_plot_widget.setFixedWidth(width)
self.chooch_plot_widget.setFixedWidth(width)
self.chooch_plot_widget.clear()
title = "Element: %s, Edge: %s" % (
self.energy_scan_model.element_symbol,
self.energy_scan_model.edge,
)
if executed:
self.scan_actual_plot_widget.hide()
self.scan_result_plot_widget.show()
result = self.energy_scan_model.get_scan_result()
self.scan_result_plot_widget.plot_energy_scan_curve(result.data, title)
self.chooch_plot_widget.plot_energy_scan_results(
result.pk,
result.fppPeak,
result.fpPeak,
result.ip,
result.fppInfl,
result.fpInfl,
result.rm,
result.chooch_graph_x,
result.chooch_graph_y1,
result.chooch_graph_y2,
result.title,
)
elif is_running:
self.scan_actual_plot_widget.show()
self.scan_result_plot_widget.hide()
else:
self.scan_actual_plot_widget.hide()
self.scan_result_plot_widget.show()
self.scan_result_plot_widget.clear()
self.data_path_widget.update_data_model(self.energy_scan_model.path_template)
self.periodic_table_widget.set_current_element_edge(
self.energy_scan_model.element_symbol, self.energy_scan_model.edge
)
image = self.energy_scan_model.centred_position.snapshot_image
self.snapshot_widget.display_snapshot(image, width=400)
def element_clicked(self, symbol, energy):
self.energy_scan_model.element_symbol = symbol
self.energy_scan_model.edge = energy
def energy_scan_started(self, scan_info):
self.scan_actual_plot_widget.clear()
self.scan_actual_plot_widget.show()
self.scan_result_plot_widget.clear()
self.scan_result_plot_widget.hide()
self.chooch_plot_widget.clear()
self.scan_actual_plot_widget.start_new_scan(scan_info)
self.data_path_widget.setEnabled(False)
self.periodic_table_widget.setEnabled(False)
def energy_scan_new_point(self, x, y):
self.scan_actual_plot_widget.add_new_plot_value(x, y)
def chooch_finished(
self,
pk,
fppPeak,
fpPeak,
ip,
fppInfl,
fpInfl,
rm,
chooch_graph_x,
chooch_graph_y1,
chooch_graph_y2,
title,
):
self.chooch_plot_widget.plot_energy_scan_results(
pk,
fppPeak,
fpPeak,
ip,
fppInfl,
fpInfl,
rm,
chooch_graph_x,
chooch_graph_y1,
chooch_graph_y2,
title,
)
self.scan_actual_plot_widget.plot_finished()
class CreateCharWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name, fl, "Characterisation")
self.setObjectName("create_char_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._vertical_dimension_widget = None
self._current_selected_item = None
self._char = None
self._char_params = None
self.init_models()
self._char_params_mib = DataModelInputBinder(self._char_params)
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionWidgetSimple(
self,
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self, data_model=self._path_template, layout="vertical"
)
self._vertical_dimension_widget = QtImport.load_ui_file(
"vertical_crystal_dimension_widget_layout.ui"
)
self._char_widget = QtImport.load_ui_file(
"characterise_simple_widget_vertical_layout.ui"
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._char_widget)
_main_vlayout.addWidget(self._vertical_dimension_widget)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.setSpacing(6)
_main_vlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._vertical_dimension_widget.space_group_ledit.activated.connect(
self._space_group_change
)
# self.connect(induced_burn_cbx, QtCore.SIGNAL("toggled(bool)"),
# self.use_induced_burn)
self._char_widget.characterisation_gbox.toggled.connect(
self.characterisation_gbox_toggled
)
self._char_widget.wait_result_cbx.toggled.connect(self.wait_results_cbx_toggled)
self._char_widget.execute_plan_cbx.toggled.connect(
self.run_diffraction_plan_cbx_toggled
)
# Other ---------------------------------------------------------------
self._char_params_mib.bind_value_update(
"opt_sad", self._char_widget.optimised_sad_cbx, bool, None
)
self._char_params_mib.bind_value_update(
"account_rad_damage", self._char_widget.account_rad_dmg_cbx, bool, None
)
# self._char_params_mib.bind_value_update('determine_rad_params',
# induced_burn_cbx,
# bool, None)
self._char_params_mib.bind_value_update(
"strategy_complexity", self._char_widget.start_comp_cbox, int, None
)
self._char_params_mib.bind_value_update(
"max_crystal_vdim",
self._vertical_dimension_widget.max_vdim_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"min_crystal_vdim",
self._vertical_dimension_widget.min_vdim_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"min_crystal_vphi",
self._vertical_dimension_widget.min_vphi_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"max_crystal_vphi",
self._vertical_dimension_widget.max_vphi_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._vertical_dimension_widget.space_group_ledit.addItems(XTAL_SPACEGROUPS)
self._data_path_widget.data_path_layout.compression_cbox.setVisible(False)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def use_induced_burn(self, state):
self._acquisition_parameters.induce_burn = state
def _space_group_change(self, index):
self._char_params.space_group = queue_model_enumerables.XTAL_SPACEGROUPS[index]
def _set_space_group(self, space_group):
index = 0
if self._vertical_dimension_widget:
if space_group in XTAL_SPACEGROUPS:
index = XTAL_SPACEGROUPS.index(space_group)
self._space_group_change(index)
self._vertical_dimension_widget.space_group_ledit.setCurrentIndex(index)
def init_models(self):
CreateTaskBase.init_models(self)
self._init_models()
def _init_models(self):
self._char = queue_model_objects.Characterisation()
self._char_params = self._char.characterisation_parameters
self._processing_parameters = queue_model_objects.ProcessingParameters()
self._set_space_group(self._processing_parameters.space_group)
self._acquisition_parameters = (
api.beamline_setup.get_default_char_acq_parameters()
)
self._char_params = (
api.beamline_setup.get_default_characterisation_parameters()
)
self._path_template.reference_image_prefix = "ref"
# The num images drop down default value is 1
# we would like it to be 2
self._acquisition_parameters.num_images = 2
self._char.characterisation_software = (
queue_model_enumerables.COLLECTION_ORIGIN.EDNA
)
self._path_template.num_files = 2
self._path_template.compression = False
self._acquisition_parameters.shutterless = False
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
# self._init_models()
if self._char_params.space_group == "":
sample_model = tree_item.get_model()
self._set_space_group(sample_model.processing_parameters.space_group)
# self._acq_widget.update_data_model(self._acquisition_parameters,
# self._path_template)
# self._char_params_mib.set_model(self._char_params)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.CharacterisationQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
self._char = tree_item.get_model()
if self._char.get_path_template():
self._path_template = self._char.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
data_collection = self._char.reference_image_collection
self._char_params = self._char.characterisation_parameters
self._char_params_mib.set_model(self._char_params)
self._acquisition_parameters = data_collection.acquisitions[
0
].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
if len(data_collection.acquisitions) == 1:
self.select_shape_with_cpos(
self._acquisition_parameters.centred_position
)
self._processing_parameters = data_collection.processing_parameters
else:
self.setDisabled(True)
def update_processing_parameters(self, crystal):
self._processing_parameters.space_group = crystal.space_group
self._char_params.space_group = crystal.space_group
self._processing_parameters.cell_a = crystal.cell_a
self._processing_parameters.cell_alpha = crystal.cell_alpha
self._processing_parameters.cell_b = crystal.cell_b
self._processing_parameters.cell_beta = crystal.cell_beta
self._processing_parameters.cell_c = crystal.cell_c
self._processing_parameters.cell_gamma = crystal.cell_gamma
def approve_creation(self):
result = CreateTaskBase.approve_creation(self)
selected_shapes = api.graphics.get_selected_shapes()
for shape in selected_shapes:
if isinstance(shape, GraphicsItemPoint):
result = True
return result
# Called by the owning widget (task_toolbox_widget) to create
# a collection. when a data collection group is selected.
def _create_task(self, sample, shape):
tasks = []
if not shape or not isinstance(shape, GraphicsItemPoint):
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
snapshot = api.graphics.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
char_params = copy.deepcopy(self._char_params)
acq = self._create_acq(sample)
dc = queue_model_objects.DataCollection(
[acq], sample.crystals[0], self._processing_parameters
)
# Reference images for characterisations should be taken 90 deg apart
# this is achived by setting overap to -89
acq.acquisition_parameters.overlap = -89
acq.acquisition_parameters.centred_position = cpos
dc.acquisitions[0] = acq
dc.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.EDNA_REF
dc.run_processing_parallel = False
char = queue_model_objects.Characterisation(dc, char_params)
char.set_name(dc.acquisitions[0].path_template.get_prefix())
char.set_number(dc.acquisitions[0].path_template.run_number)
char.run_characterisation = self._char_widget.characterisation_gbox.isChecked()
char.wait_result = self._char_widget.wait_result_cbx.isChecked()
char.run_diffraction_plan = self._char_widget.execute_plan_cbx.isChecked()
char.diff_plan_compression = self._tree_brick.compression_state
tasks.append(char)
self._path_template.run_number += 1
if api.flux.get_flux() < 1e9:
logging.getLogger("GUI").error(
"No flux reading is available! "
+ "Characterisation result may be wrong. "
"Measure flux before running the characterisation."
)
return tasks
def characterisation_gbox_toggled(self, state):
if self._char:
self._char.run_characterisation = state
def wait_results_cbx_toggled(self, state):
if self._char:
self._char.wait_result = state
def run_diffraction_plan_cbx_toggled(self, state):
if self._char:
self._char.run_diffraction_plan = state
class XRFSpectrumParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="xrf_spectrum_parameters_widget"):
QtImport.QWidget.__init__(self, parent)
if name is not None:
self.setObjectName(name)
# Internal variables --------------------------------------------------
self.xrf_spectrum_model = queue_model_objects.XRFSpectrum()
self._tree_view_item = None
# Graphic elements ----------------------------------------------------
_top_widget = QtImport.QWidget(self)
_parameters_widget = QtImport.QWidget(_top_widget)
self.data_path_widget = DataPathWidget(_parameters_widget)
self.other_parameters_gbox = QtImport.QGroupBox(
"Other parameters", _parameters_widget
)
self.count_time_label = QtImport.QLabel(
"Count time:", self.other_parameters_gbox
)
self.count_time_ledit = QtImport.QLineEdit(self.other_parameters_gbox)
self.count_time_ledit.setFixedWidth(50)
self.adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", self.other_parameters_gbox
)
self.adjust_transmission_cbox.hide()
self.mca_spectrum_widget = McaSpectrumWidget(self)
self.snapshot_widget = SnapshotWidget(self)
# Layout -------------------------------------------------------------
_other_parameters_gbox_hlayout = QtImport.QHBoxLayout(
self.other_parameters_gbox
)
_other_parameters_gbox_hlayout.addWidget(self.count_time_label)
_other_parameters_gbox_hlayout.addWidget(self.count_time_ledit)
_other_parameters_gbox_hlayout.addWidget(self.adjust_transmission_cbox)
_other_parameters_gbox_hlayout.addStretch(0)
_other_parameters_gbox_hlayout.setSpacing(2)
_other_parameters_gbox_hlayout.setContentsMargins(0, 0, 0, 0)
_parameters_widget_layout = QtImport.QVBoxLayout(_parameters_widget)
_parameters_widget_layout.addWidget(self.data_path_widget)
_parameters_widget_layout.addWidget(self.other_parameters_gbox)
_parameters_widget_layout.addStretch(0)
_parameters_widget_layout.setSpacing(2)
_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_top_widget_layout = QtImport.QHBoxLayout(_top_widget)
_top_widget_layout.addWidget(_parameters_widget)
_top_widget_layout.addWidget(self.snapshot_widget)
_top_widget_layout.setSpacing(2)
_top_widget_layout.addStretch(0)
_top_widget_layout.setContentsMargins(0, 0, 0, 0)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(_top_widget)
_main_vlayout.addWidget(self.mca_spectrum_widget)
_main_vlayout.setSpacing(2)
_main_vlayout.setContentsMargins(0, 0, 0, 0)
# SizePolicies -------------------------------------------------------
self.mca_spectrum_widget.setSizePolicy(
QtImport.QSizePolicy.Expanding, QtImport.QSizePolicy.Expanding
)
_top_widget.setSizePolicy(
QtImport.QSizePolicy.Expanding, QtImport.QSizePolicy.Fixed
)
# Qt signal/slot connections ------------------------------------------
self.data_path_widget.data_path_layout.prefix_ledit.textChanged.connect(
self._prefix_ledit_change
)
self.data_path_widget.data_path_layout.run_number_ledit.textChanged.connect(
self._run_number_ledit_change
)
self.count_time_ledit.textChanged.connect(self._count_time_ledit_change)
# Other ---------------------------------------------------------------
self.data_path_widget.data_path_layout.compression_cbox.setVisible(False)
if api.xrf_spectrum is None:
api.xrf_spectrum.connect(
"xrfSpectrumFinished", self.spectrum_finished
)
def _prefix_ledit_change(self, new_value):
self.xrf_spectrum_model.set_name(str(new_value))
self._tree_view_item.setText(0, self.xrf_spectrum_model.get_display_name())
def _run_number_ledit_change(self, new_value):
if str(new_value).isdigit():
self.xrf_spectrum_model.set_number(int(new_value))
self._tree_view_item.setText(0, self.xrf_spectrum_model.get_display_name())
def _count_time_ledit_change(self, new_value):
if str(new_value).isdigit():
self.xrf_spectrum_model.set_count_time(float(new_value))
def tab_changed(self):
if self._tree_view_item:
self.populate_widget(self._tree_view_item)
def populate_widget(self, item):
self._tree_view_item = item
self.xrf_spectrum_model = item.get_model()
executed = self.xrf_spectrum_model.is_executed()
self.data_path_widget.setEnabled(not executed)
self.other_parameters_gbox.setEnabled(not executed)
# self.mca_spectrum_widget.setEnabled(executed)
if executed:
result = self.xrf_spectrum_model.get_spectrum_result()
self.mca_spectrum_widget.set_data(
result.mca_data, result.mca_calib, result.mca_config
)
else:
self.mca_spectrum_widget.clear()
self.data_path_widget.update_data_model(self.xrf_spectrum_model.path_template)
self.count_time_ledit.setText(str(self.xrf_spectrum_model.count_time))
image = self.xrf_spectrum_model.centred_position.snapshot_image
self.snapshot_widget.display_snapshot(image, width=400)
def spectrum_finished(self, mca_data, mca_calib, mca_config):
self.mca_spectrum_widget.set_data(mca_data, mca_calib, mca_config)
class AdvancedParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="advanced_parameters_widget"):
QtImport.QWidget.__init__(self, parent)
# Internal values -----------------------------------------------------
self._data_collection = None
self._tree_view_item = None
self._acquisition_mib = None
# Properties ----------------------------------------------------------
# Signals -------------------------------------------------------------
# Slots ---------------------------------------------------------------
# Graphic elements ----------------------------------------------------
_dc_parameters_widget = QtImport.QWidget(self)
self._data_path_widget = DataPathWidget(_dc_parameters_widget)
self._acq_widget = AcquisitionWidget(_dc_parameters_widget, layout="horizontal")
# Layout --------------------------------------------------------------
_dc_parameters_widget_layout = QtImport.QVBoxLayout(_dc_parameters_widget)
_dc_parameters_widget_layout.addWidget(self._data_path_widget)
_dc_parameters_widget_layout.addWidget(self._acq_widget)
_dc_parameters_widget_layout.setSpacing(2)
_dc_parameters_widget_layout.addStretch(10)
_dc_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_main_hlayout = QtImport.QHBoxLayout(self)
_main_hlayout.addWidget(_dc_parameters_widget)
_main_hlayout.setSpacing(2)
_main_hlayout.setContentsMargins(2, 2, 2, 2)
_main_hlayout.addStretch(0)
# Qt signal/slot connections ------------------------------------------
# self._acq_widget.acqParametersChangedSignal.\
# connect(self.acq_parameters_changed)
# self._data_path_widget.pathTemplateChangedSignal.\
# connect(self.acq_parameters_changed)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
# Ohter ---------------------------------------------------------------
self._acq_widget.use_osc_start(False)
self._acq_widget.acq_widget_layout.mad_cbox.hide()
self._acq_widget.acq_widget_layout.energies_combo.hide()
self._acq_widget.acq_widget_layout.shutterless_cbx.hide()
def init_api(self):
self._acq_widget.init_api()
def mad_energy_selected(self, name, energy, state):
path_template = self._data_collection.acquisitions[0].path_template
if state:
path_template.mad_prefix = name
else:
path_template.mad_prefix = ""
run_number = api.queue_model.get_next_run_number(
path_template
)
self._data_path_widget.set_run_number(run_number)
self._data_path_widget.set_prefix(path_template.base_prefix)
model = self._tree_view_item.get_model()
model.set_name(path_template.get_prefix())
self._tree_view_item.setText(0, model.get_name())
def tab_changed(self):
if self._tree_view_item:
self.populate_widget(self._tree_view_item, None)
def populate_widget(self, tree_view_item, data_collection):
self._tree_view_item = tree_view_item
self._data_collection = data_collection
# if isinstance(tree_view_item, queue_item.XrayCenteringQueueItem):
# self._data_collection = tree_view_item.get_model().reference_image_collection
# else:
# self._data_collection = tree_view_item.get_model()
executed = self._data_collection.is_executed()
self._acq_widget.setEnabled(not executed)
self._data_path_widget.setEnabled(not executed)
self._acquisition_mib = DataModelInputBinder(
self._data_collection.acquisitions[0].acquisition_parameters
)
# The acq_widget sends a signal to the path_widget, and it relies
# on that both models upto date, we need to refactor this part
# so that both models are set before taking ceratin actions.
# This workaround, works for the time beeing.
self._data_path_widget._data_model = self._data_collection.acquisitions[
0
].path_template
self._data_path_widget.update_data_model(
self._data_collection.acquisitions[0].path_template
)
self._acq_widget.update_data_model(
self._data_collection.acquisitions[0].acquisition_parameters,
self._data_collection.acquisitions[0].path_template,
)
# self._acq_widget.use_osc_start(False)
self._acq_widget.acq_widget_layout.num_images_ledit.setDisabled(
data_collection.is_mesh()
)
invalid = self._acquisition_mib.validate_all()
if invalid:
msg = (
"This data collection has one or more incorrect parameters,"
+ " correct the fields marked in red to solve the problem."
)
logging.getLogger("GUI").warning(msg)
class CreateGphlWorkflowWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "GphlWorkflow"
)
if not name:
self.setObjectName("create_gphl_workflow_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.current_prefix = None
self.init_models()
def _initialize_graphics(self):
# Graphic elements ----------------------------------------------------
self._workflow_type_widget = QtImport.QGroupBox("Workflow type", self)
self._workflow_cbox = QtImport.QComboBox(self._workflow_type_widget)
self._gphl_acq_widget = QtImport.QGroupBox("Acquisition", self)
self._gphl_acq_param_widget = GphlAcquisitionWidget(
self._gphl_acq_widget, "gphl_acquisition_parameter_widget"
)
self._gphl_diffractcal_widget = GphlDiffractcalWidget(
self._gphl_acq_widget, "gphl_diffractcal_widget",
)
self._data_path_widget = DataPathWidget(
self, "create_dc_path_widget", layout="vertical"
)
data_path_layout = self._data_path_widget.data_path_layout
data_path_layout.file_name_label.hide()
data_path_layout.file_name_value_label.hide()
data_path_layout.run_number_label.hide()
data_path_layout.run_number_ledit.hide()
data_path_layout.prefix_ledit.setReadOnly(True)
data_path_layout.folder_ledit.setReadOnly(True)
# Layout --------------------------------------------------------------
_workflow_type_vlayout = QtImport.QVBoxLayout(self._workflow_type_widget)
_workflow_type_vlayout.addWidget(self._workflow_cbox)
_gphl_acq_vlayout = QtImport.QVBoxLayout(self._gphl_acq_widget)
_gphl_acq_vlayout.addWidget(self._gphl_acq_param_widget)
_gphl_acq_vlayout.addWidget(self._gphl_diffractcal_widget)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._workflow_type_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._gphl_acq_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(2)
_main_vlayout.setContentsMargins(0, 0, 0, 0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._workflow_cbox.currentIndexChanged.connect(self.workflow_selected)
# set up popup data dialog
self.gphl_data_dialog = GphlDataDialog(self, "GPhL Workflow Data")
self.gphl_data_dialog.setModal(True)
self.gphl_data_dialog.continueClickedSignal.connect(self.data_acquired)
def initialise_workflows(self):
workflow_hwobj = api.gphl_workflow
if workflow_hwobj is not None:
workflow_hwobj.setup_workflow_object()
workflow_names = list(workflow_hwobj.get_available_workflows())
self._initialize_graphics()
self._workflow_cbox.clear()
for workflow_name in workflow_names:
self._workflow_cbox.addItem(workflow_name)
self.workflow_selected()
workflow_hwobj.connect(
"gphlParametersNeeded", self.gphl_data_dialog.open_dialog
)
def workflow_selected(self):
# necessary as this comes in as a QString object
name = str(self._workflow_cbox.currentText())
# if reset or name != self._previous_workflow:
xx = self._workflow_cbox
xx.setCurrentIndex(xx.findText(name))
self.init_models()
self._data_path_widget.update_data_model(self._path_template)
parameters = api.gphl_workflow.get_available_workflows()[name]
strategy_type = parameters.get("strategy_type")
if strategy_type == "transcal":
self._gphl_acq_widget.hide()
elif strategy_type == "diffractcal":
# TODO update this
self._gphl_diffractcal_widget.populate_widget()
self._gphl_acq_widget.show()
self._gphl_diffractcal_widget.show()
self._gphl_acq_param_widget.hide()
else:
# acquisition type strategy
self._gphl_acq_param_widget.populate_widget()
self._gphl_acq_widget.show()
self._gphl_diffractcal_widget.hide()
self._gphl_acq_param_widget.show()
prefix = parameters.get("prefix")
if prefix is not None:
self.current_prefix = prefix
def data_acquired(self):
"""Data gathered from popup, continue execution"""
pass
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
wf_model = tree_item.get_model()
if isinstance(tree_item, queue_item.SampleQueueItem):
self.init_models()
else:
if isinstance(tree_item, queue_item.GphlWorkflowQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if wf_model.get_path_template():
self._path_template = wf_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif not isinstance(tree_item, queue_item.DataCollectionGroupQueueItem):
self.setDisabled(True)
def init_models(self):
CreateTaskBase.init_models(self)
self._init_models()
def _init_models(self):
pass
def continue_button_click(self, sample_items, checked_items):
"""Intercepts the datacollection continue_button click for parameter setting"""
tree_brick = self._tree_brick
if tree_brick:
for item in checked_items:
model = item.get_model()
if isinstance(model, queue_model_objects.GphlWorkflow):
dialog = tree_brick.dc_tree_widget.confirm_dialog
ss = dialog.conf_dialog_layout.take_snapshots_combo.currentText()
model.set_snapshot_count(int(ss) if ss else 0)
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
tasks = []
path_template = self._create_path_template(sample, self._path_template)
path_template.num_files = 0
path_template.compression = False
workflow_hwobj = api.gphl_workflow
if workflow_hwobj.get_state() == States.OFF:
# We will be setting up the connection now - time to connect to quit
QtImport.QApplication.instance().aboutToQuit.connect(
workflow_hwobj.shutdown
)
tree_brick = self._tree_brick
if tree_brick:
tree_brick.dc_tree_widget.confirm_dialog.continueClickedSignal.connect(
self.continue_button_click
)
wf = queue_model_objects.GphlWorkflow(workflow_hwobj)
wf_type = str(self._workflow_cbox.currentText())
wf.set_type(wf_type)
if self.current_prefix:
path_template.base_prefix = self.current_prefix
wf.path_template = path_template
wf.set_name(wf.path_template.get_prefix())
wf.set_number(wf.path_template.run_number)
wf_parameters = workflow_hwobj.get_available_workflows()[wf_type]
strategy_type = wf_parameters.get("strategy_type")
wf.set_interleave_order(wf_parameters.get("interleaveOrder", ""))
if strategy_type.startswith("transcal"):
pass
elif strategy_type.startswith("diffractcal"):
ss = self._gphl_diffractcal_widget.get_parameter_value("test_crystal")
crystal_data = self._gphl_diffractcal_widget.test_crystals.get(ss)
wf.set_space_group(crystal_data.space_group)
wf.set_cell_parameters(
tuple(
getattr(crystal_data, tag)
for tag in ("a", "b", "c", "alpha", "beta", "gamma")
)
)
else:
# Coulds be native_... phasing_... etc.
wf.set_space_group(
self._gphl_acq_param_widget.get_parameter_value("space_group")
)
tag = self._gphl_acq_param_widget.get_parameter_value("crystal_system")
crystal_system, point_group = None, None
if tag:
data = self._gphl_acq_param_widget._CRYSTAL_SYSTEM_DATA[tag]
crystal_system = data.crystal_system
point_groups = data.point_groups
if len(point_groups) == 1 or point_groups[0] == "32":
# '32' is a special case; '312' and '321' are also returned as '32'
point_group = point_groups[0]
wf.set_point_group(point_group)
wf.set_crystal_system(crystal_system)
wf.set_beam_energies(wf_parameters["beam_energies"])
tasks.append(wf)
return tasks
class CreateGphlWorkflowWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name,
QtImport.Qt.WindowFlags(fl), "GphlWorkflow")
if not name:
self.setObjectName("create_gphl_workflow_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.current_prefix = None
self.init_models()
def _initialize_graphics(self):
# Graphic elements ----------------------------------------------------
self._workflow_type_widget = QtImport.QGroupBox("Workflow type", self)
self._workflow_cbox = QtImport.QComboBox(self._workflow_type_widget)
self._gphl_acq_widget = QtImport.QGroupBox("Acquisition", self)
self._gphl_acq_param_widget = GphlAcquisitionWidget(
self._gphl_acq_widget, "gphl_acquisition_parameter_widget")
self._gphl_diffractcal_widget = GphlDiffractcalWidget(
self._gphl_acq_widget, "gphl_diffractcal_widget")
self._data_path_widget = DataPathWidget(self,
"create_dc_path_widget",
layout="vertical")
data_path_layout = self._data_path_widget.data_path_layout
data_path_layout.file_name_label.hide()
data_path_layout.file_name_value_label.hide()
data_path_layout.run_number_label.hide()
data_path_layout.run_number_ledit.hide()
data_path_layout.folder_ledit.setReadOnly(True)
# Layout --------------------------------------------------------------
_workflow_type_vlayout = QtImport.QVBoxLayout(
self._workflow_type_widget)
_workflow_type_vlayout.addWidget(self._workflow_cbox)
_gphl_acq_vlayout = QtImport.QVBoxLayout(self._gphl_acq_widget)
_gphl_acq_vlayout.addWidget(self._gphl_acq_param_widget)
_gphl_acq_vlayout.addWidget(self._gphl_diffractcal_widget)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._workflow_type_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._gphl_acq_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(2)
_main_vlayout.setContentsMargins(0, 0, 0, 0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._workflow_cbox.currentIndexChanged.connect(self.workflow_selected)
# set up popup data dialog
self.gphl_data_dialog = GphlDataDialog(self, "GPhL Workflow Data")
self.gphl_data_dialog.setModal(True)
self.gphl_data_dialog.continueClickedSignal.connect(self.data_acquired)
def initialise_workflows(self):
workflow_hwobj = HWR.beamline.gphl_workflow
if workflow_hwobj is not None:
workflow_hwobj.setup_workflow_object()
workflow_names = list(workflow_hwobj.get_available_workflows())
self._initialize_graphics()
self._workflow_cbox.clear()
for workflow_name in workflow_names:
self._workflow_cbox.addItem(workflow_name)
self.workflow_selected()
workflow_hwobj.connect("gphlParametersNeeded",
self.gphl_data_dialog.open_dialog)
def workflow_selected(self):
# necessary as this comes in as a QString object
name = ConvertUtils.text_type(self._workflow_cbox.currentText())
# if reset or name != self._previous_workflow:
xx0 = self._workflow_cbox
xx0.setCurrentIndex(xx0.findText(name))
self.init_models()
self._data_path_widget.update_data_model(self._path_template)
parameters = HWR.beamline.gphl_workflow.get_available_workflows()[name]
strategy_type = parameters.get("strategy_type")
if strategy_type == "transcal":
# NB Once we do not have to set unique prefixes, this should be readOnly
self._data_path_widget.data_path_layout.prefix_ledit.setReadOnly(
False)
self._gphl_acq_widget.hide()
elif strategy_type == "diffractcal":
# TODO update this
self._data_path_widget.data_path_layout.prefix_ledit.setReadOnly(
True)
self._gphl_diffractcal_widget.populate_widget()
self._gphl_acq_widget.show()
self._gphl_diffractcal_widget.show()
self._gphl_acq_param_widget.hide()
else:
# acquisition type strategy
self._data_path_widget.data_path_layout.prefix_ledit.setReadOnly(
True)
self._gphl_acq_param_widget.populate_widget()
self._gphl_acq_widget.show()
self._gphl_diffractcal_widget.hide()
self._gphl_acq_param_widget.show()
prefix = parameters.get("prefix")
if prefix is not None:
self.current_prefix = prefix
def data_acquired(self):
"""Data gathered from popup, continue execution"""
pass
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
wf_model = tree_item.get_model()
if isinstance(tree_item, queue_item.SampleQueueItem):
self.init_models()
else:
if isinstance(tree_item, queue_item.GphlWorkflowQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if wf_model.get_path_template():
self._path_template = wf_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif not isinstance(tree_item,
queue_item.DataCollectionGroupQueueItem):
self.setDisabled(True)
def init_models(self):
CreateTaskBase.init_models(self)
self._init_models()
def _init_models(self):
pass
def continue_button_click(self, sample_items, checked_items):
"""Intercepts the datacollection continue_button click for parameter setting"""
tree_brick = self._tree_brick
if tree_brick:
for item in checked_items:
model = item.get_model()
if isinstance(model, queue_model_objects.GphlWorkflow):
dialog = tree_brick.dc_tree_widget.confirm_dialog
ss0 = dialog.conf_dialog_layout.take_snapshots_combo.currentText(
)
model.set_snapshot_count(int(ss0) if ss0 else 0)
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
tasks = []
path_template = self._create_path_template(sample, self._path_template)
path_template.num_files = 0
path_template.compression = False
workflow_hwobj = HWR.beamline.gphl_workflow
if workflow_hwobj.get_state() == States.OFF:
# We will be setting up the connection now - time to connect to quit
QtImport.QApplication.instance().aboutToQuit.connect(
workflow_hwobj.shutdown)
tree_brick = self._tree_brick
if tree_brick:
tree_brick.dc_tree_widget.confirm_dialog.continueClickedSignal.connect(
self.continue_button_click)
wf = queue_model_objects.GphlWorkflow()
wf_type = ConvertUtils.text_type(self._workflow_cbox.currentText())
wf.set_type(wf_type)
if self.current_prefix:
path_template.base_prefix = self.current_prefix
wf.path_template = path_template
wf.set_name(wf.path_template.get_prefix())
wf.set_number(wf.path_template.run_number)
wf_parameters = workflow_hwobj.get_available_workflows()[wf_type]
strategy_type = wf_parameters.get("strategy_type")
wf.set_interleave_order(wf_parameters.get("interleaveOrder", ""))
if strategy_type.startswith("transcal"):
pass
elif strategy_type.startswith("diffractcal"):
ss0 = self._gphl_diffractcal_widget.get_parameter_value(
"test_crystal")
crystal_data = self._gphl_diffractcal_widget.test_crystals.get(ss0)
wf.set_space_group(crystal_data.space_group)
wf.set_cell_parameters(
tuple(
getattr(crystal_data, tag)
for tag in ("a", "b", "c", "alpha", "beta", "gamma")))
tag = self._gphl_acq_param_widget.get_parameter_value(
"dose_budget")
wf.set_dose_budget(
HWR.beamline.gphl_workflow.dose_budgets.get(tag))
# The entire strategy runs as a 'characterisation'
wf.set_characterisation_budget_fraction(1.0)
else:
# Coulds be native_... phasing_... etc.
wf.set_space_group(
self._gphl_acq_param_widget.get_parameter_value("space_group"))
wf.set_characterisation_strategy(
self._gphl_acq_param_widget.get_parameter_value(
"characterisation_strategy"))
tag = self._gphl_acq_param_widget.get_parameter_value(
"crystal_system")
crystal_system, point_group = None, None
if tag:
data = self._gphl_acq_param_widget._CRYSTAL_SYSTEM_DATA[tag]
crystal_system = data.crystal_system
point_groups = data.point_groups
if len(point_groups) == 1 or point_groups[0] == "32":
# '32' is a special case; '312' and '321' are also returned as '32'
point_group = point_groups[0]
wf.set_point_group(point_group)
wf.set_crystal_system(crystal_system)
wf.set_beam_energies(wf_parameters["beam_energies"])
tag = self._gphl_acq_param_widget.get_parameter_value(
"dose_budget")
wf.set_dose_budget(
HWR.beamline.gphl_workflow.dose_budgets.get(tag))
val = self._gphl_acq_param_widget.get_parameter_value(
"relative_rad_sensitivity")
wf.set_relative_rad_sensitivity(val)
wf.set_characterisation_budget_fraction(
HWR.beamline.gphl_workflow.getProperty(
"characterisation_budget_percent", 5.0) / 100.0)
tasks.append(wf)
return tasks
class CreateCharWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name, fl, "Characterisation")
self.setObjectName("create_char_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._vertical_dimension_widget = None
self._current_selected_item = None
self._char = None
self._char_params = None
self.init_models()
self._char_params_mib = DataModelInputBinder(self._char_params)
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionWidgetSimple(
self,
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(self,
data_model=self._path_template,
layout="vertical")
self._vertical_dimension_widget = QtImport.load_ui_file(
"vertical_crystal_dimension_widget_layout.ui")
self._char_widget = QtImport.load_ui_file(
"characterise_simple_widget_vertical_layout.ui")
self._comments_widget = CommentsWidget(self)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._char_widget)
_main_vlayout.addWidget(self._vertical_dimension_widget)
_main_vlayout.addWidget(self._comments_widget)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.setSpacing(6)
_main_vlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
self._comments_widget.setFixedHeight(100)
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed)
self._acq_widget.acqParametersChangedSignal.connect(
self.acq_parameters_changed)
self._vertical_dimension_widget.space_group_ledit.activated.connect(
self._space_group_change)
self._char_widget.characterisation_gbox.toggled.connect(
self.characterisation_gbox_toggled)
self._char_widget.wait_result_cbx.toggled.connect(
self.wait_results_cbx_toggled)
self._char_widget.execute_plan_cbx.toggled.connect(
self.run_diffraction_plan_cbx_toggled)
# Other ---------------------------------------------------------------
if False:
self._char_params_mib.bind_value_update(
"opt_sad", self._char_widget.optimised_sad_cbx, bool, None)
self._char_params_mib.bind_value_update(
"account_rad_damage", self._char_widget.account_rad_dmg_cbx,
bool, None)
self._char_params_mib.bind_value_update(
"strategy_complexity", self._char_widget.start_comp_cbox, int,
None)
self._char_params_mib.bind_value_update(
"max_crystal_vdim",
self._vertical_dimension_widget.max_vdim_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"min_crystal_vdim",
self._vertical_dimension_widget.min_vdim_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"min_crystal_vphi",
self._vertical_dimension_widget.min_vphi_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._char_params_mib.bind_value_update(
"max_crystal_vphi",
self._vertical_dimension_widget.max_vphi_ledit,
float,
QtImport.QDoubleValidator(0.0, 1000, 2, self),
)
self._vertical_dimension_widget.space_group_ledit.addItems(
XTAL_SPACEGROUPS)
self._data_path_widget.data_path_layout.compression_cbox.setVisible(
False)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def use_induced_burn(self, state):
self._acquisition_parameters.induce_burn = state
def _space_group_change(self, index):
self._char_params.space_group = queue_model_enumerables.XTAL_SPACEGROUPS[
index]
def _set_space_group(self, space_group):
index = 0
if self._vertical_dimension_widget:
if space_group in XTAL_SPACEGROUPS:
index = XTAL_SPACEGROUPS.index(space_group)
self._space_group_change(index)
self._vertical_dimension_widget.space_group_ledit.setCurrentIndex(
index)
def init_models(self):
CreateTaskBase.init_models(self)
self._init_models()
def _init_models(self):
self._char = queue_model_objects.Characterisation()
self._char_params = self._char.characterisation_parameters
self._processing_parameters = queue_model_objects.ProcessingParameters(
)
self._set_space_group(self._processing_parameters.space_group)
self._acquisition_parameters = (
HWR.beamline.get_default_acquisition_parameters("default"))
self._char_params = (HWR.beamline.get_default_acquisition_parameters(
"characterisation"))
self._path_template.reference_image_prefix = "ref"
# The num images drop down default value is 1
# we would like it to be 2
self._acquisition_parameters.num_images = 2
self._char.characterisation_software = (
queue_model_enumerables.COLLECTION_ORIGIN.EDNA)
self._path_template.num_files = 2
self._path_template.compression = False
self._acquisition_parameters.shutterless = False
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
if self._char_params.space_group == "":
sample_model = tree_item.get_model()
self._set_space_group(
sample_model.processing_parameters.space_group)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.CharacterisationQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
self._char = tree_item.get_model()
if self._char.get_path_template():
self._path_template = self._char.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
data_collection = self._char.reference_image_collection
self._char_params = self._char.characterisation_parameters
self._char_params_mib.set_model(self._char_params)
self._acquisition_parameters = data_collection.acquisitions[
0].acquisition_parameters
self._acq_widget.update_data_model(self._acquisition_parameters,
self._path_template)
# self.get_acquisition_widget().use_osc_start(True)
if len(data_collection.acquisitions) == 1:
HWR.beamline.sample_view.select_shape_with_cpos(
self._acquisition_parameters.centred_position)
self._processing_parameters = data_collection.processing_parameters
else:
self.setDisabled(True)
def update_processing_parameters(self, crystal):
self._processing_parameters.space_group = crystal.space_group
self._char_params.space_group = crystal.space_group
self._processing_parameters.cell_a = crystal.cell_a
self._processing_parameters.cell_alpha = crystal.cell_alpha
self._processing_parameters.cell_b = crystal.cell_b
self._processing_parameters.cell_beta = crystal.cell_beta
self._processing_parameters.cell_c = crystal.cell_c
self._processing_parameters.cell_gamma = crystal.cell_gamma
def approve_creation(self):
result = CreateTaskBase.approve_creation(self)
selected_shapes = HWR.beamline.sample_view.get_selected_shapes()
for shape in selected_shapes:
if isinstance(shape, GraphicsItemPoint):
result = True
return result
# Called by the owning widget (task_toolbox_widget) to create
# a collection. when a data collection group is selected.
def _create_task(self, sample, shape, comments=None):
tasks = []
if not shape or not isinstance(shape, GraphicsItemPoint):
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_scene_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
snapshot = HWR.beamline.sample_view.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
char_params = copy.deepcopy(self._char_params)
acq = self._create_acq(sample)
dc = queue_model_objects.DataCollection([acq], sample.crystals[0],
self._processing_parameters)
# Reference images for characterisations should be taken 90 deg apart
# this is achived by setting overap to -89
acq.acquisition_parameters.overlap = -89
acq.acquisition_parameters.centred_position = cpos
dc.acquisitions[0] = acq
dc.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.EDNA_REF
dc.run_processing_parallel = False
char = queue_model_objects.Characterisation(dc, char_params)
char.set_name(dc.acquisitions[0].path_template.get_prefix())
char.set_number(dc.acquisitions[0].path_template.run_number)
char.run_characterisation = self._char_widget.characterisation_gbox.isChecked(
)
char.wait_result = self._char_widget.wait_result_cbx.isChecked()
char.run_diffraction_plan = self._char_widget.execute_plan_cbx.isChecked(
)
char.diff_plan_compression = self._tree_brick.compression_state
tasks.append(char)
self._path_template.run_number += 1
if HWR.beamline.flux.get_value() < 1e9:
logging.getLogger("GUI").error(
"No flux reading is available! " +
"Characterisation result may be wrong. "
"Measure flux before running the characterisation.")
return tasks
def characterisation_gbox_toggled(self, state):
if self._char:
self._char.run_characterisation = state
def wait_results_cbx_toggled(self, state):
if self._char:
self._char.wait_result = state
def run_diffraction_plan_cbx_toggled(self, state):
if self._char:
self._char.run_diffraction_plan = state
class CreateDiscreteWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name,
QtImport.Qt.WindowFlags(fl), "Standard")
if not name:
self.setObjectName("create_discrete_widget")
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._processing_widget = ProcessingWidget(
self, data_model=self._processing_parameters)
self._comments_widget = CommentsWidget(self)
self._comments_widget.setHidden(True)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._processing_widget)
_main_vlayout.addWidget(self._comments_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
self._comments_widget.setFixedHeight(100)
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(
self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed)
self._acq_widget.madEnergySelectedSignal.connect(
self.mad_energy_selected)
self._processing_widget.enableProcessingSignal.connect(
self._run_processing_toggled)
# Other ---------------------------------------------------------------
self._processing_widget.processing_widget.run_processing_parallel_cbox.\
setChecked(HWR.beamline.run_processing_parallel)
def init_models(self):
CreateTaskBase.init_models(self)
self._processing_parameters = queue_model_objects.ProcessingParameters(
)
has_shutter_less = HWR.beamline.detector.has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = \
HWR.beamline.get_default_acquisition_parameters()
def set_tunable_energy(self, state):
self._acq_widget.set_tunable_energy(state)
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
sample_model = tree_item.get_model()
# self._processing_parameters = copy.deepcopy(self._processing_parameters)
self._processing_parameters = sample_model.processing_parameters
self._processing_widget.update_data_model(
self._processing_parameters)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem):
dc_model = tree_item.get_model()
self._acq_widget.use_kappa(False)
if not dc_model.is_helical():
if dc_model.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
sample_data_model = self.get_sample_item(tree_item).get_model()
energy_scan_result = sample_data_model.crystals[
0].energy_scan_result
self._acq_widget.set_energies(energy_scan_result)
# self._acq_widget.disable_inverse_beam(True)
self._path_template = dc_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters =\
dc_model.acquisitions[0].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template)
# self.get_acquisition_widget().use_osc_start(True)
if len(dc_model.acquisitions) == 1:
HWR.beamline.sample_view.select_shape_with_cpos(
self._acquisition_parameters.centred_position)
self._processing_parameters = dc_model.processing_parameters
self._processing_widget.update_data_model(
self._processing_parameters)
else:
self.setDisabled(True)
else:
self.setDisabled(True)
def approve_creation(self):
result = CreateTaskBase.approve_creation(self)
return result
def _create_task(self, sample, shape, comments=None):
"""
Called by the owning widget (task_toolbox_widget) to create
a collection. When a data collection group is selected.
:param sample:
:param shape:
:return:
"""
tasks = []
if isinstance(shape, GraphicsItemPoint):
snapshot = HWR.beamline.sample_view.get_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
else:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_snapshot()
tasks.extend(self.create_dc(sample, cpos=cpos))
self._path_template.run_number += 1
return tasks
def create_dc(
self,
sample,
run_number=None,
start_image=None,
num_images=None,
osc_start=None,
sc=None,
cpos=None,
inverse_beam=False,
):
tasks = []
# Acquisition for start position
acq = self._create_acq(sample)
if run_number:
acq.path_template.run_number = run_number
if start_image:
acq.acquisition_parameters.first_image = start_image
acq.path_template.start_num = start_image
if num_images:
acq.acquisition_parameters.num_images = num_images
acq.path_template.num_files = num_images
if osc_start:
acq.acquisition_parameters.osc_start = osc_start
if inverse_beam:
acq.acquisition_parameters.inverse_beam = False
acq.acquisition_parameters.centred_position = cpos
processing_parameters = copy.deepcopy(self._processing_parameters)
data_collection = queue_model_objects.DataCollection(
[acq], sample.crystals[0], processing_parameters)
data_collection.set_name(acq.path_template.get_prefix())
data_collection.set_number(acq.path_template.run_number)
data_collection.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.NATIVE
run_processing_after, run_processing_parallel = \
self._processing_widget.get_processing_state()
data_collection.run_processing_after = run_processing_after
if run_processing_parallel:
data_collection.run_processing_parallel = "Undefined"
tasks.append(data_collection)
return tasks
class CreateStillScanWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, flags=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(flags), "Still"
)
if not name:
self.setObjectName("create_still_scan_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionStillWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._col_seq_widget = SSXSequenceWidget(self)
self._processing_widget = ProcessingWidget(
self, data_model=self._processing_parameters
)
#self._comment_widget = CommentWidget(self)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._col_seq_widget)
_main_vlayout.addWidget(self._processing_widget)
#_main_vlayout.addWidget(self._comment_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(
self.acq_parameters_changed
)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._processing_widget.enableProcessingSignal.connect(
self._run_processing_toggled
)
# Other ---------------------------------------------------------------
self._processing_widget.processing_widget.run_online_processing_cbox.setChecked(
HWR.beamline.run_online_processing
)
#Rename to self._processing_widget.layout
self._processing_widget.processing_widget.resolution_cutoff_label.setHidden(False)
self._processing_widget.processing_widget.resolution_cutoff_ledit.setHidden(False)
self._processing_widget.processing_widget.pdb_file_label.setHidden(False)
self._processing_widget.processing_widget.pdb_file_ledit.setHidden(False)
self._processing_widget.processing_widget.pdb_file_browse_button.setHidden(False)
def use_osc_start(self, status):
"""
Enables osc start QLineEdit
:param status: boolean
:return:
"""
return
def update_exp_time_limits(self):
"""
Updates exposure time limits
:return:
"""
return
def init_models(self):
"""
Inits data model
:return: None
"""
CreateTaskBase.init_models(self)
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = HWR.beamline.detector.has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = (
HWR.beamline.get_default_acquisition_parameters()
)
self._acquisition_parameters.num_triggers = 1
self._acquisition_parameters.num_images_per_trigger = 1
def set_tunable_energy(self, state):
"""
Sets tunable energy
:param state: boolean
:return: None
"""
self._acq_widget.set_tunable_energy(state)
def single_item_selection(self, tree_item):
"""
Method called when a queue item in the tree is selected
:param tree_item: queue_item
:return: None
"""
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
sample_model = tree_item.get_model()
# self._processing_parameters = copy.deepcopy(self._processing_parameters)
self._processing_parameters = sample_model.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem):
dc_model = tree_item.get_model()
self._acq_widget.use_kappa(False)
if not dc_model.is_helical():
if dc_model.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
sample_data_model = self.get_sample_item(tree_item).get_model()
energy_scan_result = sample_data_model.crystals[0].energy_scan_result
self._acq_widget.set_energies(energy_scan_result)
# self._acq_widget.disable_inverse_beam(True)
self._path_template = dc_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = dc_model.acquisitions[0].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
if len(dc_model.acquisitions) == 1:
HWR.beamline.sample_view.select_shape_with_cpos(
self._acquisition_parameters.centred_position
)
self._processing_parameters = dc_model.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
else:
self.setDisabled(True)
else:
self.setDisabled(True)
def _create_task(self, sample, shape, comments=None):
"""
Creates a new Still scan task
:param sample: sample node
:param shape: centering point
:return: Acquisition item
"""
tasks = []
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_snapshot()
tasks.extend(self.create_dc(sample, cpos=cpos, comments=comments))
self._path_template.run_number += 1
return tasks
def create_dc(
self,
sample,
run_number=None,
start_image=None,
num_images=None,
osc_start=None,
sc=None,
cpos=None,
inverse_beam=False,
comments=None
):
"""
Creates a new data collection item
:param sample: Sample
:param run_number: int
:param start_image: int
:param num_images: int
:param osc_start: float
:param sc:
:param cpos: centered position
:param inverse_beam: boolean
:return:
"""
tasks = []
# Acquisition for start position
acq = self._create_acq(sample)
if run_number:
acq.path_template.run_number = run_number
if start_image:
acq.acquisition_parameters.first_image = start_image
acq.path_template.start_num = start_image
if num_images:
acq.acquisition_parameters.num_images = num_images
acq.path_template.num_files = num_images
if osc_start:
acq.acquisition_parameters.osc_start = osc_start
if inverse_beam:
acq.acquisition_parameters.inverse_beam = False
acq.acquisition_parameters.centred_position = cpos
if comments:
acq.acquisition_parameters.comments = comments
processing_parameters = copy.deepcopy(self._processing_parameters)
data_collection = queue_model_objects.DataCollection(
[acq], sample.crystals[0], processing_parameters
)
data_collection.set_name(acq.path_template.get_prefix())
data_collection.set_number(acq.path_template.run_number)
data_collection.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.OSC
run_processing_after, run_online_processing = \
self._processing_widget.get_processing_state()
data_collection.run_processing_after = run_processing_after
if run_online_processing:
data_collection.run_online_processing = "Still"
data_collection.set_requires_centring(False)
tasks.append(data_collection)
return tasks
class DCParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="parameter_widget"):
QtImport.QWidget.__init__(self, parent)
if name is not None:
self.setObjectName(name)
# Properties ----------------------------------------------------------
# Signals ------------------------------------------------------------
# Slots ---------------------------------------------------------------
# Internal variables --------------------------------------------------
self._data_collection = None
self._tree_view_item = None
self._acquisition_mib = None
# Graphic elements ----------------------------------------------------
_dc_parameters_widget = QtImport.QWidget(self)
self._data_path_widget = DataPathWidget(_dc_parameters_widget)
self._acq_widget = AcquisitionWidget(_dc_parameters_widget, layout="horizontal")
self._processing_widget = ProcessingWidget(_dc_parameters_widget)
# Layout --------------------------------------------------------------
_dc_parameters_widget_layout = QtImport.QVBoxLayout(_dc_parameters_widget)
_dc_parameters_widget_layout.addWidget(self._data_path_widget)
_dc_parameters_widget_layout.addWidget(self._acq_widget)
_dc_parameters_widget_layout.addWidget(self._processing_widget)
_dc_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_dc_parameters_widget_layout.setSpacing(2)
_dc_parameters_widget_layout.addStretch(10)
_main_hlayout = QtImport.QHBoxLayout(self)
_main_hlayout.addWidget(_dc_parameters_widget)
_main_hlayout.setContentsMargins(0, 0, 0, 0)
_main_hlayout.setSpacing(2)
_main_hlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.data_path_layout.prefix_ledit.textChanged.connect(
self._prefix_ledit_change
)
self._data_path_widget.data_path_layout.run_number_ledit.textChanged.connect(
self._run_number_ledit_change
)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
# Other ---------------------------------------------------------------
def _prefix_ledit_change(self, new_value):
prefix = self._data_collection.acquisitions[0].path_template.get_prefix()
self._data_collection.set_name(prefix)
self._tree_view_item.setText(0, self._data_collection.get_name())
def _run_number_ledit_change(self, new_value):
if str(new_value).isdigit():
self._data_collection.set_number(int(new_value))
self._tree_view_item.setText(0, self._data_collection.get_name())
def acq_parameters_changed(self):
if self._tree_view_item is None:
# TODO fix this
return
# TODO get tree view in another way
dc_tree_widget = self._tree_view_item.listView().parent().parent()
dc_tree_widget.check_for_path_collisions()
path_template = self._data_collection.acquisitions[0].path_template
path_conflict = api.queue_model.check_for_path_collisions(path_template)
def mad_energy_selected(self, name, energy, state):
path_template = self._data_collection.acquisitions[0].path_template
if state:
path_template.mad_prefix = str(name)
else:
path_template.mad_prefix = ""
run_number = api.queue_model.get_next_run_number(
path_template
)
self._data_path_widget.set_run_number(run_number)
self._data_path_widget.set_prefix(path_template.base_prefix)
model = self._tree_view_item.get_model()
model.set_name(path_template.get_prefix())
self._tree_view_item.setText(0, model.get_name())
def tab_changed(self):
if self._tree_view_item:
self.populate_parameter_widget(self._tree_view_item)
def set_enabled(self, state):
self._acq_widget.setEnabled(state)
self._data_path_widget.setEnabled(state)
self._processing_widget.setEnabled(state)
def populate_widget(self, item):
data_collection = item.get_model()
self._tree_view_item = item
self._data_collection = data_collection
self._acquisition_mib = DataModelInputBinder(
self._data_collection.acquisitions[0].acquisition_parameters
)
# The acq_widget sends a signal to the path_widget, and it relies
# on that both models upto date, we need to refactor this part
# so that both models are set before taking ceratin actions.
# This workaround, works for the time beeing.
self._data_path_widget._data_model = data_collection.acquisitions[
0
].path_template
self._acq_widget.set_energies(data_collection.crystal.energy_scan_result)
self._acq_widget.update_data_model(
data_collection.acquisitions[0].acquisition_parameters,
data_collection.acquisitions[0].path_template,
)
self._data_path_widget.update_data_model(
data_collection.acquisitions[0].path_template
)
self._processing_widget.update_data_model(data_collection.processing_parameters)
invalid = self._acquisition_mib.validate_all()
if invalid:
msg = (
"This data collection has one or more incorrect parameters,"
+ " correct the fields marked in red to solve the problem."
)
logging.getLogger("GUI").warning(msg)
class AdvancedParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="advanced_parameters_widget"):
QtImport.QWidget.__init__(self, parent)
# Internal values -----------------------------------------------------
self._data_collection = None
self._tree_view_item = None
self._acquisition_mib = None
# Properties ----------------------------------------------------------
# Signals -------------------------------------------------------------
# Slots ---------------------------------------------------------------
# Graphic elements ----------------------------------------------------
_dc_parameters_widget = QtImport.QWidget(self)
self._data_path_widget = DataPathWidget(_dc_parameters_widget)
self._acq_widget = AcquisitionWidget(_dc_parameters_widget,
layout="horizontal")
# Layout --------------------------------------------------------------
_dc_parameters_widget_layout = QtImport.QVBoxLayout(
_dc_parameters_widget)
_dc_parameters_widget_layout.addWidget(self._data_path_widget)
_dc_parameters_widget_layout.addWidget(self._acq_widget)
_dc_parameters_widget_layout.setSpacing(2)
_dc_parameters_widget_layout.addStretch(10)
_dc_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_main_hlayout = QtImport.QHBoxLayout(self)
_main_hlayout.addWidget(_dc_parameters_widget)
_main_hlayout.setSpacing(2)
_main_hlayout.setContentsMargins(2, 2, 2, 2)
_main_hlayout.addStretch(0)
# Qt signal/slot connections ------------------------------------------
# self._acq_widget.acqParametersChangedSignal.\
# connect(self.acq_parameters_changed)
# self._data_path_widget.pathTemplateChangedSignal.\
# connect(self.acq_parameters_changed)
self._acq_widget.madEnergySelectedSignal.connect(
self.mad_energy_selected)
# Ohter ---------------------------------------------------------------
self._acq_widget.use_osc_start(False)
self._acq_widget.acq_widget_layout.mad_cbox.hide()
self._acq_widget.acq_widget_layout.energies_combo.hide()
self._acq_widget.acq_widget_layout.shutterless_cbx.hide()
def mad_energy_selected(self, name, energy, state):
path_template = self._data_collection.acquisitions[0].path_template
if state:
path_template.mad_prefix = name
else:
path_template.mad_prefix = ""
run_number = HWR.beamline.queue_model.get_next_run_number(
path_template)
self._data_path_widget.set_run_number(run_number)
self._data_path_widget.set_prefix(path_template.base_prefix)
model = self._tree_view_item.get_model()
model.set_name(path_template.get_prefix())
self._tree_view_item.setText(0, model.get_name())
def populate_widget(self, tree_view_item, data_collection):
self._tree_view_item = tree_view_item
self._data_collection = data_collection
# if isinstance(tree_view_item, queue_item.XrayCenteringQueueItem):
# self._data_collection = tree_view_item.get_model().reference_image_collection
# else:
# self._data_collection = tree_view_item.get_model()
executed = self._data_collection.is_executed()
self._acq_widget.setEnabled(not executed)
self._data_path_widget.setEnabled(not executed)
self._acquisition_mib = DataModelInputBinder(
self._data_collection.acquisitions[0].acquisition_parameters)
# The acq_widget sends a signal to the path_widget, and it relies
# on that both models upto date, we need to refactor this part
# so that both models are set before taking ceratin actions.
# This workaround, works for the time beeing.
self._data_path_widget.update_data_model(
self._data_collection.acquisitions[0].path_template)
self._acq_widget.update_data_model(
self._data_collection.acquisitions[0].acquisition_parameters,
self._data_collection.acquisitions[0].path_template,
)
# self._acq_widget.use_osc_start(False)
self._acq_widget.acq_widget_layout.num_images_ledit.setDisabled(
data_collection.is_mesh())
invalid = self._acquisition_mib.validate_all()
if invalid:
msg = (
"This data collection has one or more incorrect parameters," +
" correct the fields marked in red to solve the problem.")
logging.getLogger("GUI").warning(msg)
class CreateHelicalWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name, fl, "Helical")
if not name:
self.setObjectName("create_helical_widget")
self.init_models()
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._lines_map = {}
# Graphic elements ----------------------------------------------------
self._lines_widget = QtImport.load_ui_file("helical_line_widget_layout.ui")
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._processing_widget = ProcessingWidget(
self, data_model=self._processing_parameters
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._lines_widget)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._processing_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._lines_widget.lines_treewidget.itemSelectionChanged.connect(
self.lines_treewidget_selection_changed
)
self._lines_widget.create_line_button.clicked.connect(
self.create_line_button_clicked
)
self._lines_widget.create_auto_line_button.clicked.connect(
self.create_auto_line_button_clicked
)
self._lines_widget.remove_line_button.clicked.connect(
self.remove_line_button_clicked
)
self._lines_widget.overlay_cbox.stateChanged.connect(self.overlay_toggled)
self._lines_widget.overlay_slider.valueChanged.connect(
self.overlay_alpha_changed
)
self._lines_widget.swap_points_button.clicked.connect(self.swap_points_clicked)
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._processing_widget.enableProcessingSignal.connect(
self._run_processing_toggled
)
# Other ---------------------------------------------------------------
for col in range(self._lines_widget.lines_treewidget.columnCount()):
self._lines_widget.lines_treewidget.resizeColumnToContents(col)
# self._processing_widget.processing_widget.\
# run_processing_parallel_cbox.setChecked(False)
self._processing_widget.processing_widget.run_processing_parallel_cbox.setChecked(
api.beamline_setup._get_run_processing_parallel()
)
self.enable_widgets(False)
def enable_widgets(self, state):
self._acq_widget.setEnabled(state)
self._data_path_widget.setEnabled(state)
self._processing_widget.setEnabled(state)
def init_models(self):
CreateTaskBase.init_models(self)
self._energy_scan_result = queue_model_objects.EnergyScanResult()
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = api.beamline_setup.detector_has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = api.beamline_setup.get_default_acquisition_parameters(
"default_helical_values"
)
def init_api(self):
# At startup, if scene loaded from file, then update listwidget
shapes = api.graphics.get_shapes()
for shape in shapes:
if isinstance(shape, GraphicsItemLine):
self.shape_created(shape, "Line")
api.graphics.connect("shapeCreated", self.shape_created)
api.graphics.connect("shapeChanged", self.shape_changed)
api.graphics.connect("shapeDeleted", self.shape_deleted)
def shape_created(self, shape, shape_type):
if shape_type == "Line":
self._lines_widget.lines_treewidget.clearSelection()
# info_str_list = QStringList()
info_str_list = []
info_str_list.append(shape.get_display_name())
info_str_list.append("%d" % shape.get_points_index()[0])
info_str_list.append("%d" % shape.get_points_index()[1])
lines_treewidget_item = QtImport.QTreeWidgetItem(
self._lines_widget.lines_treewidget, info_str_list
)
lines_treewidget_item.setSelected(True)
self._lines_map[shape] = lines_treewidget_item
self.lines_treewidget_selection_changed()
def shape_deleted(self, shape, shape_type):
if shape_type == "Line" and self._lines_map.get(shape):
shape_index = self._lines_widget.lines_treewidget.indexFromItem(
self._lines_map[shape]
)
self._lines_widget.lines_treewidget.takeTopLevelItem(shape_index.row())
self._lines_map.pop(shape)
def approve_creation(self):
base_result = CreateTaskBase.approve_creation(self)
if len(self._lines_widget.lines_treewidget.selectedItems()) == 0:
logging.getLogger("GUI").warning(
"No lines selected, please select one or more lines."
)
return False
else:
return base_result
def update_processing_parameters(self, crystal):
self._processing_parameters.space_group = crystal.space_group
self._processing_parameters.cell_a = crystal.cell_a
self._processing_parameters.cell_alpha = crystal.cell_alpha
self._processing_parameters.cell_b = crystal.cell_b
self._processing_parameters.cell_beta = crystal.cell_beta
self._processing_parameters.cell_c = crystal.cell_c
self._processing_parameters.cell_gamma = crystal.cell_gamma
self._processing_widget.update_data_model(self._processing_parameters)
def select_line_with_cpos(self, start_cpos, end_cpos, num_images):
"""Selects graphical line which contains two cpositions
Adds number of frames next to the graphical line
"""
self._lines_widget.overlay_slider.setEnabled(False)
self._lines_widget.overlay_cbox.setEnabled(False)
api.graphics.de_select_all()
for shape in api.graphics.get_shapes():
if isinstance(shape, GraphicsItemLine):
(start_cpos_index, end_cpos_index) = shape.get_points_index()
if (
start_cpos_index == start_cpos.index
and end_cpos_index == end_cpos.index
):
api.graphics.select_shape(shape)
shape.set_num_images(num_images)
self._lines_widget.overlay_slider.setEnabled(True)
self._lines_widget.overlay_cbox.setEnabled(True)
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
sample_model = tree_item.get_model()
self._processing_parameters = sample_model.processing_parameters
# self._processing_parameters = copy.deepcopy(self._processing_parameters)
self._processing_widget.update_data_model(self._processing_parameters)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem):
data_collection = tree_item.get_model()
if data_collection.is_helical():
self.setDisabled(tree_item.get_model().is_executed())
self._path_template = data_collection.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = data_collection.acquisitions[
0
].acquisition_parameters
if len(data_collection.acquisitions) == 2:
start_cpos = data_collection.acquisitions[
0
].acquisition_parameters.centred_position
end_cpos = data_collection.acquisitions[
1
].acquisition_parameters.centred_position
num_images = data_collection.acquisitions[
0
].acquisition_parameters.num_images
self.select_line_with_cpos(start_cpos, end_cpos, num_images)
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
self._processing_parameters = data_collection.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
else:
self.setDisabled(True)
else:
self.setDisabled(True)
if (
isinstance(tree_item, queue_item.SampleQueueItem)
or isinstance(tree_item, queue_item.DataCollectionGroupQueueItem)
or isinstance(tree_item, queue_item.DataCollectionQueueItem)
):
self._processing_widget.update_data_model(self._processing_parameters)
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
def _create_task(self, sample, shape):
data_collections = []
for shape in self.get_selected_shapes():
snapshot = api.graphics.get_scene_snapshot(shape)
# Acquisition for start position
start_acq = self._create_acq(sample)
start_graphical_point, end_graphical_point = shape.get_graphical_points()
start_acq.acquisition_parameters.centred_position = copy.deepcopy(
start_graphical_point.get_centred_position()
)
start_acq.acquisition_parameters.centred_position.snapshot_image = snapshot
start_acq.path_template.suffix = api.session.suffix
# Add another acquisition for the end position
end_acq = self._create_acq(sample)
end_acq.acquisition_parameters.centred_position = copy.deepcopy(
end_graphical_point.get_centred_position()
)
end_acq.acquisition_parameters.centred_position.snapshot_image = snapshot
end_acq.path_template.suffix = api.session.suffix
processing_parameters = copy.deepcopy(self._processing_parameters)
dc = queue_model_objects.DataCollection(
[start_acq, end_acq], sample.crystals[0], processing_parameters
)
dc.set_name(start_acq.path_template.get_prefix())
dc.set_number(start_acq.path_template.run_number)
dc.set_experiment_type(EXPERIMENT_TYPE.HELICAL)
dc.set_requires_centring(False)
dc.run_processing_after = (
self._processing_widget.processing_widget.run_processing_after_cbox.isChecked()
)
if (
self._processing_widget.processing_widget.run_processing_parallel_cbox.isChecked()
):
dc.run_processing_parallel = "LineScan"
data_collections.append(dc)
self._path_template.run_number += 1
return data_collections
def lines_treewidget_selection_changed(self):
self.enable_widgets(
len(self._lines_widget.lines_treewidget.selectedItems()) > 0
)
self._lines_widget.remove_line_button.setEnabled(
len(self._lines_widget.lines_treewidget.selectedItems()) > 0
)
self._lines_widget.swap_points_button.setEnabled(
len(self._lines_widget.lines_treewidget.selectedItems()) > 0
)
for shape, list_item in self._lines_map.items():
api.graphics.select_shape(shape, list_item.isSelected())
self._acq_widget.emit_acq_parameters_changed()
def create_line_button_clicked(self):
api.graphics.create_line()
def create_auto_line_button_clicked(self):
api.graphics.create_auto_line()
def remove_line_button_clicked(self):
line_to_delete = None
for line, treewidget_item in self._lines_map.items():
if treewidget_item.isSelected():
line_to_delete = line
break
if line_to_delete:
api.graphics.delete_shape(line_to_delete)
self.lines_treewidget_selection_changed()
def get_selected_shapes(self):
selected_lines = []
for line, treewidget_item in self._lines_map.items():
if treewidget_item.isSelected():
selected_lines.append(line)
return selected_lines
def overlay_toggled(self, state):
api.graphics.set_display_overlay(state)
def overlay_alpha_changed(self, alpha_value):
for line, treewidget_item in self._lines_map.items():
if treewidget_item.isSelected():
line.set_fill_alpha(alpha_value)
def swap_points_clicked(self):
for line, treewidget_item in self._lines_map.items():
if treewidget_item.isSelected():
api.graphics.swap_line_points(line)
class DCParametersWidget(QtImport.QWidget):
def __init__(self, parent=None, name="parameter_widget"):
QtImport.QWidget.__init__(self, parent)
if name is not None:
self.setObjectName(name)
# Properties ----------------------------------------------------------
# Signals ------------------------------------------------------------
# Slots ---------------------------------------------------------------
# Internal variables --------------------------------------------------
self._data_collection = None
self._tree_view_item = None
self._acquisition_mib = None
# Graphic elements ----------------------------------------------------
_dc_parameters_widget = QtImport.QWidget(self)
self._data_path_widget = DataPathWidget(_dc_parameters_widget)
self._acq_widget = AcquisitionWidget(_dc_parameters_widget,
layout="horizontal")
self._processing_widget = ProcessingWidget(_dc_parameters_widget)
# Layout --------------------------------------------------------------
_dc_parameters_widget_layout = QtImport.QVBoxLayout(
_dc_parameters_widget)
_dc_parameters_widget_layout.addWidget(self._data_path_widget)
_dc_parameters_widget_layout.addWidget(self._acq_widget)
_dc_parameters_widget_layout.addWidget(self._processing_widget)
_dc_parameters_widget_layout.setContentsMargins(0, 0, 0, 0)
_dc_parameters_widget_layout.setSpacing(2)
_dc_parameters_widget_layout.addStretch(10)
_main_hlayout = QtImport.QHBoxLayout(self)
_main_hlayout.addWidget(_dc_parameters_widget)
_main_hlayout.setContentsMargins(0, 0, 0, 0)
_main_hlayout.setSpacing(2)
_main_hlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.data_path_layout.prefix_ledit.textChanged.connect(
self._prefix_ledit_change)
self._data_path_widget.data_path_layout.run_number_ledit.textChanged.connect(
self._run_number_ledit_change)
self._acq_widget.madEnergySelectedSignal.connect(
self.mad_energy_selected)
self._acq_widget.acqParametersChangedSignal.connect(
self.acq_parameters_changed)
# Other ---------------------------------------------------------------
def _prefix_ledit_change(self, new_value):
prefix = self._data_collection.acquisitions[
0].path_template.get_prefix()
self._data_collection.set_name(prefix)
self._tree_view_item.setText(0, self._data_collection.get_name())
def _run_number_ledit_change(self, new_value):
if str(new_value).isdigit():
self._data_collection.set_number(int(new_value))
self._tree_view_item.setText(0, self._data_collection.get_name())
def acq_parameters_changed(self):
if self._tree_view_item is None:
return
# TODO get tree view in another way
dc_tree_widget = self._tree_view_item.listView().parent().parent()
dc_tree_widget.check_for_path_collisions()
path_template = self._data_collection.acquisitions[0].path_template
HWR.beamline.queue_model.check_for_path_collisions(path_template)
def mad_energy_selected(self, name, energy, state):
path_template = self._data_collection.acquisitions[0].path_template
if state:
path_template.mad_prefix = str(name)
else:
path_template.mad_prefix = ""
run_number = HWR.beamline.queue_model.get_next_run_number(
path_template)
self._data_path_widget.set_run_number(run_number)
self._data_path_widget.set_prefix(path_template.base_prefix)
model = self._tree_view_item.get_model()
model.set_name(path_template.get_prefix())
self._tree_view_item.setText(0, model.get_name())
def set_enabled(self, state):
self._acq_widget.setEnabled(state)
self._data_path_widget.setEnabled(state)
self._processing_widget.setEnabled(state)
def populate_widget(self, item):
data_collection = item.get_model()
self._tree_view_item = item
self._data_collection = data_collection
self._acquisition_mib = DataModelInputBinder(
self._data_collection.acquisitions[0].acquisition_parameters)
# The acq_widget sends a signal to the path_widget, and it relies
# on that both models upto date, we need to refactor this part
# so that both models are set before taking ceratin actions.
# This workaround, works for the time beeing.
self._data_path_widget._data_model = data_collection.acquisitions[
0].path_template
self._acq_widget.set_energies(
data_collection.crystal.energy_scan_result)
self._acq_widget.update_data_model(
data_collection.acquisitions[0].acquisition_parameters,
data_collection.acquisitions[0].path_template,
)
self._data_path_widget.update_data_model(
data_collection.acquisitions[0].path_template)
self._processing_widget.update_data_model(
data_collection.processing_parameters)
invalid = self._acquisition_mib.validate_all()
if invalid:
msg = (
"This data collection has one or more incorrect parameters," +
" correct the fields marked in red to solve the problem.")
logging.getLogger("GUI").warning(msg)
class CreateDiscreteWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "Standard"
)
if not name:
self.setObjectName("create_discrete_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._processing_widget = ProcessingWidget(
self, data_model=self._processing_parameters
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._processing_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
self._processing_widget.enableProcessingSignal.connect(
self._run_processing_toggled
)
# Other ---------------------------------------------------------------
self._processing_widget.processing_widget.run_processing_parallel_cbox.setChecked(
api.beamline_setup._get_run_processing_parallel()
)
def init_models(self):
CreateTaskBase.init_models(self)
# self._energy_scan_result = queue_model_objects.EnergyScanResult()
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = api.beamline_setup.detector_has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = api.beamline_setup.get_default_acquisition_parameters(
"default_acquisition_values"
)
def set_tunable_energy(self, state):
self._acq_widget.set_tunable_energy(state)
def update_processing_parameters(self, crystal):
self._processing_parameters.space_group = crystal.space_group
self._processing_parameters.cell_a = crystal.cell_a
self._processing_parameters.cell_alpha = crystal.cell_alpha
self._processing_parameters.cell_b = crystal.cell_b
self._processing_parameters.cell_beta = crystal.cell_beta
self._processing_parameters.cell_c = crystal.cell_c
self._processing_parameters.cell_gamma = crystal.cell_gamma
self._processing_widget.update_data_model(self._processing_parameters)
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
sample_model = tree_item.get_model()
# self._processing_parameters = copy.deepcopy(self._processing_parameters)
self._processing_parameters = sample_model.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem):
dc = tree_item.get_model()
self._acq_widget.use_kappa(False)
if not dc.is_helical():
if dc.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
sample_data_model = self.get_sample_item(tree_item).get_model()
energy_scan_result = sample_data_model.crystals[0].energy_scan_result
self._acq_widget.set_energies(energy_scan_result)
# self._acq_widget.disable_inverse_beam(True)
self._path_template = dc.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = dc.acquisitions[0].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
if len(dc.acquisitions) == 1:
self.select_shape_with_cpos(
self._acquisition_parameters.centred_position
)
self._processing_parameters = dc.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
else:
self.setDisabled(True)
else:
self.setDisabled(True)
def approve_creation(self):
result = CreateTaskBase.approve_creation(self)
return result
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
tasks = []
if isinstance(shape, GraphicsItemPoint):
snapshot = api.graphics.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
else:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
tasks.extend(self.create_dc(sample, cpos=cpos))
self._path_template.run_number += 1
return tasks
def create_dc(
self,
sample,
run_number=None,
start_image=None,
num_images=None,
osc_start=None,
sc=None,
cpos=None,
inverse_beam=False,
):
tasks = []
# Acquisition for start position
acq = self._create_acq(sample)
if run_number:
acq.path_template.run_number = run_number
if start_image:
acq.acquisition_parameters.first_image = start_image
acq.path_template.start_num = start_image
if num_images:
acq.acquisition_parameters.num_images = num_images
acq.path_template.num_files = num_images
if osc_start:
acq.acquisition_parameters.osc_start = osc_start
if inverse_beam:
acq.acquisition_parameters.inverse_beam = False
acq.acquisition_parameters.centred_position = cpos
processing_parameters = copy.deepcopy(self._processing_parameters)
dc = queue_model_objects.DataCollection(
[acq], sample.crystals[0], processing_parameters
)
dc.set_name(acq.path_template.get_prefix())
dc.set_number(acq.path_template.run_number)
dc.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.NATIVE
dc.run_processing_after = (
self._processing_widget.processing_widget.run_processing_after_cbox.isChecked()
)
if (
self._processing_widget.processing_widget.run_processing_parallel_cbox.isChecked()
):
dc.run_processing_parallel = "Undefined"
tasks.append(dc)
return tasks
def execute_task(self, sample):
# All this should be in queue_entry level
group_data = {
"sessionId": api.session.session_id,
"experimentType": "OSC",
}
gid = api.lims._store_data_collection_group(group_data)
sample.lims_group_id = gid
task_list = self._create_task(sample, None)
task_list[0].lims_group_id = gid
param_list = queue_model_objects.to_collect_dict(
task_list[0], api.session, sample, None
)
api.collect.collect(
queue_model_enumerables.COLLECTION_ORIGIN_STR.MXCUBE, param_list
)
class CreateAdvancedWidget(CreateTaskBase):
"""Widget used to create advanced collection methods
"""
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "Advanced"
)
if not name:
self.setObjectName("create_advanced_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._advanced_methods = None
self._grid_map = {}
self.spacing = [0, 0]
self.dc_selected = False
self.init_models()
# Graphic elements ----------------------------------------------------
self._advanced_methods_widget = QtImport.load_ui_file(
"advanced_methods_layout.ui"
)
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._acq_widget.grid_mode = True
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._comments_widget = CommentsWidget(self)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._advanced_methods_widget)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._comments_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._acq_widget.madEnergySelectedSignal.connect(self.mad_energy_selected)
self._acq_widget.acq_widget_layout.osc_range_ledit.textEdited.connect(
self.grid_osc_range_ledit_changed
)
self._acq_widget.acq_widget_layout.osc_total_range_ledit.textEdited.connect(
self.grid_osc_total_range_ledit_changed
)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._advanced_methods_widget.grid_treewidget.itemSelectionChanged.connect(
self.grid_treewidget_item_selection_changed
)
self._advanced_methods_widget.draw_grid_button.clicked.connect(
self.draw_grid_button_clicked
)
self._advanced_methods_widget.remove_grid_button.clicked.connect(
self.remove_grid_button_clicked
)
self._advanced_methods_widget.hor_spacing_ledit.textEdited.connect(
self.hor_spacing_changed
)
self._advanced_methods_widget.ver_spacing_ledit.textEdited.connect(
self.ver_spacing_changed
)
self._advanced_methods_widget.move_right_button.clicked.connect(
lambda: self.move_grid("right")
)
self._advanced_methods_widget.move_left_button.clicked.connect(
lambda: self.move_grid("left")
)
self._advanced_methods_widget.move_up_button.clicked.connect(
lambda: self.move_grid("up")
)
self._advanced_methods_widget.move_down_button.clicked.connect(
lambda: self.move_grid("down")
)
self._advanced_methods_widget.overlay_cbox.toggled.connect(self.overlay_toggled)
self._advanced_methods_widget.overlay_slider.valueChanged.connect(
self.overlay_alpha_changed
)
self._advanced_methods_widget.overlay_color_button.clicked.connect(
self.overlay_change_color
)
self._advanced_methods_widget.move_to_grid_button.clicked.connect(
self.move_to_grid
)
self._advanced_methods_widget.method_combo.activated.connect(
self.method_combo_activated
)
# Other ---------------------------------------------------------------
self._acq_widget.use_osc_start(False)
self._acq_widget.use_kappa(False)
self._acq_widget.acq_widget_layout.num_images_label.setEnabled(False)
self._acq_widget.acq_widget_layout.num_images_ledit.setEnabled(False)
for col in range(self._advanced_methods_widget.grid_treewidget.columnCount()):
self._advanced_methods_widget.grid_treewidget.resizeColumnToContents(col)
self._acq_widget.acq_widget_layout.osc_total_range_label.setText(
"Total osc. range per line"
)
self._advanced_methods = list(HWR.beamline.advanced_methods)
if self._advanced_methods:
for method in self._advanced_methods:
self._advanced_methods_widget.method_combo.addItem(method)
else:
self.setEnabled(False)
self._acq_widget.acq_widget_layout.osc_start_label.setText(
"Oscillation middle:"
)
hor_size, ver_size = HWR.beamline.beam.get_beam_size()
self.spacing[0] = hor_size
self.spacing[1] = ver_size
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.1f" % (hor_size * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.1f" % (ver_size * 1000)
)
HWR.beamline.sample_view.connect("shapeCreated", self.shape_created)
HWR.beamline.sample_view.connect("shapeChanged", self.shape_changed)
HWR.beamline.sample_view.connect("shapeDeleted", self.shape_deleted)
self._comments_widget.setHidden(True)
def enable_widgets(self, state):
return
self._acq_widget.setEnabled(state)
self._data_path_widget.setEnabled(state)
def init_models(self):
CreateTaskBase.init_models(self)
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = HWR.beamline.detector.has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = (
HWR.beamline.get_default_acquisition_parameters("advanced")
)
def set_beam_info(self, beam_info):
try:
self.spacing[0] = beam_info["size_x"]
self.spacing[1] = beam_info["size_y"]
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.1f" % (beam_info["size_x"] * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.1f" % (beam_info["size_x"] * 1000)
)
except:
pass
def approve_creation(self):
"""
Descript. :
"""
result = CreateTaskBase.approve_creation(self)
selected_grid = self.get_selected_shapes()[0]
if not selected_grid:
msg = "No grid selected. Please select a grid to continue!"
logging.getLogger("GUI").warning(msg)
result = False
# selected_grid = HWR.beamline.sample_view.get_auto_grid()
else:
grid_properties = selected_grid.get_properties()
exp_time = float(self._acq_widget.acq_widget_layout.exp_time_ledit.text())
speed = grid_properties["yOffset"] / exp_time
if speed >= 2.25:
logging.getLogger("GUI").error(
"Translation speed %.3f is above the limit 2.25" % speed
)
return False
osc_range_per_frame = float(
self._acq_widget.acq_widget_layout.osc_range_ledit.text()
)
speed = osc_range_per_frame / exp_time
if speed >= 300:
logging.getLogger("GUI").error(
"Rotation speed per frame %.3f is above the limit 300" % speed
)
return False
return result
def single_item_selection(self, tree_item):
"""
Descript. :
"""
CreateTaskBase.single_item_selection(self, tree_item)
self.dc_selected = False
if isinstance(tree_item, queue_item.SampleQueueItem):
pass
elif isinstance(tree_item, queue_item.BasketQueueItem):
pass
# self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem) or isinstance(
tree_item, queue_item.XrayCenteringQueueItem
):
if isinstance(tree_item, queue_item.XrayCenteringQueueItem):
data_collection = tree_item.get_model().reference_image_collection
else:
data_collection = tree_item.get_model()
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if data_collection.is_mesh():
HWR.beamline.sample_view.select_shape(data_collection.grid)
self._advanced_methods_widget.grid_treewidget.setCurrentItem(
self._grid_map[data_collection.grid]
)
self._path_template = data_collection.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = data_collection.acquisitions[
0
].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
self.dc_selected = True
else:
self.setDisabled(True)
self.grid_treewidget_item_selection_changed()
def _create_task(self, sample, shape, comments=None):
"""Creates tasks based on selected grids
:param sample: selected sample object
:type sample: SampleQueueItem
:param shape: selected shape
:type shape: GraphicsLib.GraphicsItem
"""
tasks = []
selected_grid = self.get_selected_shapes()[0]
mesh_dc = self._create_dc_from_grid(sample, selected_grid)
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_snapshot()
exp_type = str(self._advanced_methods_widget.method_combo.currentText())
if exp_type == "MeshScan":
tasks.append(mesh_dc)
elif exp_type == "XrayCentering":
xray_centering = queue_model_objects.XrayCentering(mesh_dc)
tasks.append(xray_centering)
elif exp_type == "MXPressO":
optical_centering = queue_model_objects.OpticalCentring()
dc_task = self.create_dc(sample, cpos=cpos)[0]
dc_task.set_requires_centring(False)
tasks.append(optical_centering)
tasks.append(dc_task)
else:
logging.getLogger("GUI").warning(
"Method %s does not exist in queue_model_objects" % exp_type
)
mesh_dc.run_online_processing = exp_type
return tasks
def shape_created(self, shape, shape_type):
"""If a grid is created then adds it to the treewidget.
A binding between graphical grid and treewidget item is based
on the self._grid_map
:param shape: graphics object
:type shape: GraphicsLib.GraphicsItem
:param shape_type: type of the object (point, line, grid)
:type shape_type: str
"""
if shape_type == "Grid":
self._advanced_methods_widget.grid_treewidget.clearSelection()
grid_properties = shape.get_properties()
info_str_list = []
info_str_list.append(grid_properties["name"])
info_str_list.append("%d" % grid_properties["num_lines"])
info_str_list.append("%d" % grid_properties["num_images_per_line"])
if not self.dc_selected:
exp_time = max(
float(grid_properties["yOffset"] / 2.245),
self._acq_widget.exp_time_validator.bottom() + 0.00001,
)
self._acq_widget.acq_widget_layout.exp_time_ledit.setText(
"%.6f" % exp_time
)
grid_treewidget_item = QtImport.QTreeWidgetItem(
self._advanced_methods_widget.grid_treewidget, info_str_list
)
self._grid_map[shape] = grid_treewidget_item
if not self.dc_selected:
grid_treewidget_item.setSelected(True)
self.grid_treewidget_item_selection_changed()
if self._acq_widget.acq_widget_layout.max_osc_range_cbx.isChecked():
self._acq_widget.update_osc_total_range_limits(
grid_properties["num_images_per_line"]
)
else:
self.update_grid_osc_total_range()
def shape_deleted(self, shape, shape_type):
"""Removes shape from QTreeWidget and self._grid_map
:param shape: graphics object
:type shape: QtGraphicsLib.GraphicsItem
:param shape_type: type of the object (point, line, grid)
:type shape_type: str
"""
if self._grid_map.get(shape):
treewidget_item_modelindex = self._advanced_methods_widget.grid_treewidget.indexFromItem(
self._grid_map[shape]
)
self._advanced_methods_widget.grid_treewidget.takeTopLevelItem(
treewidget_item_modelindex.row()
)
self._grid_map.pop(shape)
def grid_treewidget_item_selection_changed(self):
"""Updates acquisition parameters based on the selected grid.
"""
self.enable_grid_controls(False)
for item in self._grid_map.items():
grid = item[0]
treewidget_item = item[1]
if treewidget_item.isSelected():
grid_properties = grid.get_properties()
cell_count = (
grid_properties["num_lines"]
* grid_properties["num_images_per_line"]
)
self._acq_widget.acq_widget_layout.num_images_ledit.setText(
"%d" % cell_count
)
self._acq_widget.acq_widget_layout.first_image_ledit.setText(
"%d" % grid_properties["first_image_num"]
)
centred_point = grid.get_centred_position()
self._acq_widget.acq_widget_layout.kappa_ledit.setText(
"%.2f" % float(centred_point.kappa)
)
self._acq_widget.acq_widget_layout.kappa_phi_ledit.setText(
"%.2f" % float(centred_point.kappa_phi)
)
self._advanced_methods_widget.hor_spacing_ledit.setText(
"%.2f" % (float(grid_properties["xOffset"]) * 1000)
)
self._advanced_methods_widget.ver_spacing_ledit.setText(
"%.2f" % (float(grid_properties["yOffset"]) * 1000)
)
treewidget_item.setText(3, str(grid_properties["num_lines"]))
treewidget_item.setText(4, str(grid_properties["num_images_per_line"]))
grid.setSelected(True)
self.enable_grid_controls(True)
else:
grid.setSelected(False)
def get_selected_shapes(self):
"""Returns selected grids
:returns: selected grid objects
"""
shapes = []
for grid, grid_treewidget_item in self._grid_map.items():
if grid_treewidget_item.isSelected():
shapes.append(grid)
return shapes
def get_selected_grid_properties(self):
"""Returns properties of the selected grid
:returns: dict with properties
"""
for grid, grid_treewidget_item in self._grid_map.items():
if grid_treewidget_item.isSelected():
return grid.get_properties()
def draw_grid_button_clicked(self):
"""Starts grid drawing
"""
HWR.beamline.sample_view.create_grid(self.spacing)
def remove_grid_button_clicked(self):
"""Removes selected grid
"""
grid_to_delete = self.get_selected_shapes()[0]
if grid_to_delete:
HWR.beamline.sample_view.delete_shape(grid_to_delete)
self._advanced_methods_widget.move_to_grid_button.setEnabled(False)
def hor_spacing_changed(self, value):
"""Updates spacing of the selected grid
"""
try:
self.spacing[0] = (
float(self._advanced_methods_widget.hor_spacing_ledit.text()) / 1000
)
self.set_spacing()
except BaseException:
pass
def ver_spacing_changed(self, value):
"""Updates spacing of the selected grid
"""
try:
self.spacing[1] = (
float(self._advanced_methods_widget.ver_spacing_ledit.text()) / 1000
)
self.set_spacing()
except BaseException:
pass
def set_spacing(self):
if 0 in self.spacing:
return
for grid, treewidget_item in self._grid_map.items():
if treewidget_item.isSelected():
grid.set_spacing(
self.spacing,
adjust_size=self._advanced_methods_widget.adjust_size_cbox.isChecked(),
)
grid_properties = grid.get_properties()
treewidget_item.setText(1, str(grid_properties["num_lines"]))
treewidget_item.setText(2, str(grid_properties["num_images_per_line"]))
self._acq_widget.acq_widget_layout.num_images_ledit.setText(
str(
grid_properties["num_lines"]
* grid_properties["num_images_per_line"]
)
)
def move_to_grid(self):
"""Moves diffractometer to the center of the grid
"""
grid = self.get_selected_shapes()[0]
if grid:
HWR.beamline.diffractometer.move_to_centred_position(
grid.get_centred_position()
)
def method_combo_activated(self, index):
self._task_node_name = self._advanced_methods_widget.method_combo.currentText()
def overlay_toggled(self, state):
"""Toggles (on/off) overlay
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.set_display_overlay(state)
def overlay_alpha_changed(self, alpha_value):
"""Changes the transperency of the grid
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.set_fill_alpha(alpha_value)
def overlay_change_color(self):
"""Changes the default color (blue) of overlay
"""
color = QtImport.QColorDialog.getColor()
grid = self.get_selected_shapes()[0]
if color.isValid() and grid:
grid.set_base_color(color)
def move_grid(self, direction):
"""Moves grid by one pix in selected direction
:param direction: direction to move (right, left, up, down)
:type direction: str
"""
grid = self.get_selected_shapes()[0]
if grid:
grid.move_by_pix(direction)
HWR.beamline.sample_view.update_grid_motor_positions(grid)
def enable_grid_controls(self, state):
"""Enables grid controls if a grid is selectd
"""
self._advanced_methods_widget.overlay_cbox.setEnabled(state)
self._advanced_methods_widget.overlay_slider.setEnabled(state)
self._advanced_methods_widget.overlay_color_button.setEnabled(state)
self._advanced_methods_widget.move_to_grid_button.setEnabled(state)
self._advanced_methods_widget.remove_grid_button.setEnabled(state)
self._advanced_methods_widget.move_right_button.setEnabled(state)
self._advanced_methods_widget.move_left_button.setEnabled(state)
self._advanced_methods_widget.move_up_button.setEnabled(state)
self._advanced_methods_widget.move_down_button.setEnabled(state)
self._acq_widget.acq_widget_layout.max_osc_range_cbx.setEnabled(
state and self._in_plate_mode
)
self.enable_widgets(state)
self._acq_widget.emit_acq_parameters_changed()
def grid_osc_range_ledit_changed(self, new_value):
"""Osc range per frame changed
:param new_value: new value
:type new_value: str
"""
self.update_grid_osc_total_range()
def grid_osc_total_range_ledit_changed(self, new_value):
"""Updates osc range per frame
:param new_value: new value
:type new_value: str
"""
grid_properties = self.get_selected_grid_properties()
if grid_properties:
try:
self._acq_widget.acq_widget_layout.osc_range_ledit.setText(
"%.4f"
% (float(new_value) / grid_properties["num_images_per_line"] - 1e-5)
)
self._acq_widget.emit_acq_parameters_changed()
except BaseException:
pass
def update_grid_osc_total_range(self):
"""Updates osc range per line
"""
grid_properties = self.get_selected_grid_properties()
if grid_properties:
self._acq_widget.acq_widget_layout.osc_total_range_ledit.setText(
str(
float(self._acq_widget.acq_widget_layout.osc_range_ledit.text())
* grid_properties["num_images_per_line"]
)
)
def set_osc_total_range(self, num_images=None, mesh=False):
grid_properties = self.get_selected_grid_properties()
if grid_properties:
CreateTaskBase.set_osc_total_range(
self, grid_properties["num_images_per_line"], mesh=True
)
class CreateStillScanWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "Still"
)
if not name:
self.setObjectName("create_still_scan_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionStillWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
self._processing_widget = ProcessingWidget(
self, data_model=self._processing_parameters
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(self._processing_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._processing_widget.enableProcessingSignal.connect(
self._run_processing_toggled
)
# Other ---------------------------------------------------------------
self._processing_widget.processing_widget.run_processing_parallel_cbox.setChecked(
api.beamline_setup._get_run_processing_parallel()
)
def use_osc_start(self, status):
pass
def update_exp_time_limits(self, status):
pass
def init_models(self):
CreateTaskBase.init_models(self)
self._processing_parameters = queue_model_objects.ProcessingParameters()
has_shutter_less = api.beamline_setup.detector_has_shutterless()
self._acquisition_parameters.shutterless = has_shutter_less
self._acquisition_parameters = api.beamline_setup.get_default_acquisition_parameters(
"default_acquisition_values"
)
self._acquisition_parameters.num_triggers = 1
self._acquisition_parameters.num_images_per_trigger = 1
def set_tunable_energy(self, state):
self._acq_widget.set_tunable_energy(state)
def update_processing_parameters(self, crystal):
self._processing_parameters.space_group = crystal.space_group
self._processing_parameters.cell_a = crystal.cell_a
self._processing_parameters.cell_alpha = crystal.cell_alpha
self._processing_parameters.cell_b = crystal.cell_b
self._processing_parameters.cell_beta = crystal.cell_beta
self._processing_parameters.cell_c = crystal.cell_c
self._processing_parameters.cell_gamma = crystal.cell_gamma
self._processing_widget.update_data_model(self._processing_parameters)
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
if isinstance(tree_item, queue_item.SampleQueueItem):
sample_model = tree_item.get_model()
# self._processing_parameters = copy.deepcopy(self._processing_parameters)
self._processing_parameters = sample_model.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
elif isinstance(tree_item, queue_item.DataCollectionQueueItem):
dc = tree_item.get_model()
self._acq_widget.use_kappa(False)
if not dc.is_helical():
if dc.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
sample_data_model = self.get_sample_item(tree_item).get_model()
energy_scan_result = sample_data_model.crystals[0].energy_scan_result
self._acq_widget.set_energies(energy_scan_result)
# self._acq_widget.disable_inverse_beam(True)
self._path_template = dc.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = dc.acquisitions[0].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
# self.get_acquisition_widget().use_osc_start(True)
if len(dc.acquisitions) == 1:
self.select_shape_with_cpos(
self._acquisition_parameters.centred_position
)
self._processing_parameters = dc.processing_parameters
self._processing_widget.update_data_model(self._processing_parameters)
else:
self.setDisabled(True)
else:
self.setDisabled(True)
def _create_task(self, sample, shape):
tasks = []
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
tasks.extend(self.create_dc(sample, cpos=cpos))
self._path_template.run_number += 1
return tasks
def create_dc(
self,
sample,
run_number=None,
start_image=None,
num_images=None,
osc_start=None,
sc=None,
cpos=None,
inverse_beam=False,
):
tasks = []
# Acquisition for start position
acq = self._create_acq(sample)
if run_number:
acq.path_template.run_number = run_number
if start_image:
acq.acquisition_parameters.first_image = start_image
acq.path_template.start_num = start_image
if num_images:
acq.acquisition_parameters.num_images = num_images
acq.path_template.num_files = num_images
if osc_start:
acq.acquisition_parameters.osc_start = osc_start
if inverse_beam:
acq.acquisition_parameters.inverse_beam = False
acq.acquisition_parameters.centred_position = cpos
processing_parameters = copy.deepcopy(self._processing_parameters)
dc = queue_model_objects.DataCollection(
[acq], sample.crystals[0], processing_parameters
)
dc.set_name(acq.path_template.get_prefix())
dc.set_number(acq.path_template.run_number)
dc.experiment_type = queue_model_enumerables.EXPERIMENT_TYPE.OSC
dc.run_processing_after = (
self._processing_widget.processing_widget.run_processing_after_cbox.isChecked()
)
if (
self._processing_widget.processing_widget.run_processing_parallel_cbox.isChecked()
):
dc.run_processing_parallel = "Still"
dc.set_requires_centring(False)
tasks.append(dc)
return tasks
class CreateEnergyScanWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name, fl, "Energy scan")
if not name:
self.setObjectName("create_energy_scan_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.init_models()
# Graphic elements ----------------------------------------------------
self._periodic_table_widget = PeriodicTableWidget(self)
self._data_path_widget = DataPathWidget(
self, data_model=self._path_template, layout="vertical"
)
_parameters_gbox = QtImport.QGroupBox("Parameters", self)
self._adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", _parameters_gbox
)
self._adjust_transmission_cbox.setChecked(False)
self._adjust_transmission_cbox.setEnabled(True)
self._max_transmission_label = QtImport.QLabel("Maximum transmission:")
self._max_transmission_ledit = QtImport.QLineEdit("20", _parameters_gbox)
self._max_transmission_ledit.setFixedWidth(80)
self._max_transmission_ledit.setEnabled(False)
# Layout --------------------------------------------------------------
_parameters_gbox_hlayout = QtImport.QGridLayout(_parameters_gbox)
_parameters_gbox_hlayout.addWidget(self._adjust_transmission_cbox, 0, 0)
_parameters_gbox_hlayout.addWidget(self._max_transmission_label, 1, 0)
_parameters_gbox_hlayout.addWidget(self._max_transmission_ledit, 1, 1)
_parameters_gbox_hlayout.setColumnStretch(2, 1)
_parameters_gbox_hlayout.setSpacing(2)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._periodic_table_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(_parameters_gbox)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.setSpacing(6)
_main_vlayout.addStretch(10)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
# self._periodic_table_widget.elementEdgeSelectedSignal.connect(\
# self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
self._adjust_transmission_cbox.stateChanged.connect(
self.adjust_transmission_state_changed
)
self._max_transmission_ledit.textEdited.connect(
self.max_transmission_value_changed
)
self._data_path_widget.data_path_layout.compression_cbox.setVisible(False)
try:
self._periodic_table_widget.set_elements(api.energyscan.getElements())
max_transmission_value = api.energyscan.get_max_transmission_value()
self._adjust_transmission_cbox.setEnabled(True)
self._adjust_transmission_cbox.setChecked(True)
api.energyscan.adjust_transmission(True)
if max_transmission_value:
self._max_transmission_ledit.setText("%.2f" % max_transmission_value)
except BaseException:
pass
def set_expert_mode(self, state):
self._adjust_transmission_cbox.setEnabled(state)
self._max_transmission_label.setEnabled(state)
self._max_transmission_ledit.setEnabled(state)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def init_models(self):
CreateTaskBase.init_models(self)
self.enery_scan = queue_model_objects.EnergyScan()
self._path_template.start_num = 1
self._path_template.num_files = 1
self._path_template.suffix = "raw"
self._path_template.compression = False
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
escan_model = tree_item.get_model()
if isinstance(tree_item, queue_item.EnergyScanQueueItem):
if tree_item.get_model().is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if escan_model.get_path_template():
self._path_template = escan_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
elif not (
isinstance(tree_item, queue_item.SampleQueueItem)
or isinstance(tree_item, queue_item.DataCollectionGroupQueueItem)
):
self.setDisabled(True)
def approve_creation(self):
base_result = CreateTaskBase.approve_creation(self)
selected_element, selected_edge = (
self._periodic_table_widget.get_selected_element_edge()
)
if not selected_element:
logging.getLogger("GUI").warning(
"No element selected, please select an element."
)
return base_result and selected_element
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
data_collections = []
selected_element, selected_edge = (
self._periodic_table_widget.get_selected_element_edge()
)
if selected_element:
if not shape:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
if isinstance(shape, GraphicsItemPoint):
snapshot = api.graphics.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
path_template = self._create_path_template(sample, self._path_template)
energy_scan = queue_model_objects.EnergyScan(sample, path_template, cpos)
energy_scan.set_name(path_template.get_prefix())
energy_scan.set_number(path_template.run_number)
energy_scan.element_symbol = selected_element
energy_scan.edge = selected_edge
data_collections.append(energy_scan)
self._path_template.run_number += 1
else:
logging.getLogger("GUI").info(
"No element selected, please select an element."
)
return data_collections
def element_edge_selected(self, element, edge):
if len(self._current_selected_items) == 1:
item = self._current_selected_items[0]
if isinstance(item, queue_item.EnergyScanQueueItem):
item.get_model().element_symbol = str(element)
item.get_model().edge = str(edge)
def adjust_transmission_state_changed(self, state):
self._max_transmission_ledit.setEnabled(state)
api.energyscan.adjust_transmission(state)
def max_transmission_value_changed(self, value):
try:
max_transmission = float(value)
api.energyscan.set_max_transmission(max_transmission)
except BaseException:
pass
class CreateXrayImagingWidget(CreateTaskBase):
"""Widget used to create xray imaging method
"""
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(
self, parent, name, QtImport.Qt.WindowFlags(fl), "XrayImaging"
)
if not name:
self.setObjectName("create_xray_imaging_widget")
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self._xray_imaging_parameters = None
self._processing_parameters = None
self.init_models()
# Graphic elements ----------------------------------------------------
self._acq_widget = AcquisitionWidget(
self,
"acquisition_widget",
layout="vertical",
acq_params=self._acquisition_parameters,
path_template=self._path_template,
)
self._acq_widget.grid_mode = False
self._xray_imaging_parameters_widget = XrayImagingParametersWidget(
self,
"xray_imaging_widget",
xray_imaging_params=self._xray_imaging_parameters,
)
self._data_path_widget = DataPathWidget(
self,
"create_dc_path_widget",
data_model=self._path_template,
layout="vertical",
)
# Layout --------------------------------------------------------------
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._acq_widget)
_main_vlayout.addWidget(self._xray_imaging_parameters_widget)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addStretch(0)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
# SizePolicies --------------------------------------------------------
# Qt signal/slot connections ------------------------------------------
self._acq_widget.acqParametersChangedSignal.connect(self.acq_parameters_changed)
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed
)
# Other ---------------------------------------------------------------
self._acq_widget.use_osc_start(False)
self._acq_widget.use_kappa(False)
self._acq_widget.acq_widget_layout.max_osc_range_cbx.setVisible(False)
self._acq_widget.acq_widget_layout.first_image_label.setVisible(False)
self._acq_widget.acq_widget_layout.first_image_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.detector_roi_mode_label.setVisible(False)
self._acq_widget.acq_widget_layout.detector_roi_mode_combo.setVisible(False)
self._acq_widget.acq_widget_layout.energies_combo.setVisible(False)
self._acq_widget.acq_widget_layout.mad_cbox.setVisible(False)
self._acq_widget.acq_widget_layout.energy_label.setVisible(False)
self._acq_widget.acq_widget_layout.energy_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.transmission_label.setVisible(False)
self._acq_widget.acq_widget_layout.transmission_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.resolution_label.setVisible(False)
self._acq_widget.acq_widget_layout.resolution_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.kappa_label.setVisible(False)
self._acq_widget.acq_widget_layout.kappa_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.kappa_phi_label.setVisible(False)
self._acq_widget.acq_widget_layout.kappa_phi_ledit.setVisible(False)
self._acq_widget.acq_widget_layout.shutterless_cbx.setVisible(False)
self.distance_listwidget = self._xray_imaging_parameters_widget._parameters_widget.detector_distance_listwidget
api.detector_distance.connect(
"positionChanged",
self._xray_imaging_parameters_widget.set_detector_distance,
)
def approve_creation(self):
return True
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def init_models(self):
CreateTaskBase.init_models(self)
self._xray_imaging_parameters = queue_model_objects.XrayImagingParameters()
self._acquisition_parameters = api.beamline_setup.get_default_acquisition_parameters(
"default_imaging_values"
)
self._path_template.suffix = "tiff"
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
self.setDisabled(True)
if isinstance(tree_item, queue_item.SampleQueueItem):
self._xray_imaging_parameters = copy.deepcopy(self._xray_imaging_parameters)
self._xray_imaging_parameters_widget.update_data_model(
self._xray_imaging_parameters
)
self._xray_imaging_parameters_widget.set_detector_distance(
api.detector_distance.get_position()
)
self.setDisabled(False)
self._xray_imaging_parameters_widget.enable_distance_tools(True)
elif isinstance(tree_item, queue_item.BasketQueueItem):
self.setDisabled(False)
self._xray_imaging_parameters_widget.enable_distance_tools(True)
elif isinstance(tree_item, queue_item.XrayImagingQueueItem):
data_model = tree_item.get_model()
self._path_template = data_model.get_path_template()
self._data_path_widget.update_data_model(self._path_template)
self._acquisition_parameters = data_model.acquisitions[0].acquisition_parameters
self._acq_widget.update_data_model(
self._acquisition_parameters, self._path_template
)
self._xray_imaging_parameters = data_model.xray_imaging_parameters
self._xray_imaging_parameters_widget.update_data_model(
self._xray_imaging_parameters
)
self.setDisabled(False)
self._xray_imaging_parameters_widget.enable_distance_tools(False)
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape):
if isinstance(shape, GraphicsItemPoint):
snapshot = api.graphics.get_scene_snapshot(shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
else:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = api.graphics.get_scene_snapshot()
detector_distance_list = []
dc_list = []
if self.distance_listwidget.count() > 1:
for index in range(self.distance_listwidget.count()):
detector_distance_list.append(int(self.distance_listwidget.item(index).text()))
else:
detector_distance_list.append(None)
do_it = True
#run_num = 1
for detector_distance in detector_distance_list:
xray_imaging_parameters = copy.deepcopy(self._xray_imaging_parameters)
if detector_distance:
xray_imaging_parameters.detector_distance = detector_distance
acq = self._create_acq(sample)
acq.acquisition_parameters.centred_position = cpos
acq.path_template.base_prefix = self.get_default_prefix(sample)
if do_it:
do_it = False
self._path_template.run_number = \
api.queue_model.get_next_run_number(
acq.path_template)
acq.path_template.run_number = self._path_template.run_number
dc = queue_model_objects.XrayImaging(
xray_imaging_parameters, acq, sample.crystals[0]
)
dc.set_name(acq.path_template.get_prefix())
dc.set_number(acq.path_template.run_number)
dc_list.append(dc)
self._path_template.run_number += 1
return dc_list
class CreateXRFSpectrumWidget(CreateTaskBase):
def __init__(self, parent=None, name=None, fl=0):
CreateTaskBase.__init__(self, parent, name,
QtImport.Qt.WindowFlags(fl), "XRF spectrum")
if name is not None:
self.setObjectName(name)
# Hardware objects ----------------------------------------------------
# Internal variables --------------------------------------------------
self.count_time = None
self.xrf_spectrum_model = None
self.init_models()
# Graphic elements ----------------------------------------------------
self._data_path_widget = DataPathWidget(self,
data_model=self._path_template,
layout="vertical")
_parameters_gbox = QtImport.QGroupBox("Parameters", self)
_count_time_label = QtImport.QLabel("Count time (sec.):",
_parameters_gbox)
self.count_time_ledit = QtImport.QLineEdit("1", _parameters_gbox)
# self.count_time_ledit.setMaximumWidth(75)
self.adjust_transmission_cbox = QtImport.QCheckBox(
"Adjust transmission", _parameters_gbox)
self.adjust_transmission_cbox.setChecked(True)
self._comments_widget = CommentsWidget(self)
# Layout --------------------------------------------------------------
_parameters_gbox_hlayout = QtImport.QHBoxLayout(_parameters_gbox)
_parameters_gbox_hlayout.addWidget(_count_time_label)
_parameters_gbox_hlayout.addWidget(self.count_time_ledit)
_parameters_gbox_hlayout.addWidget(self.adjust_transmission_cbox)
_parameters_gbox_hlayout.addStretch(0)
_parameters_gbox_hlayout.setSpacing(2)
_parameters_gbox_hlayout.setContentsMargins(0, 0, 0, 0)
_main_vlayout = QtImport.QVBoxLayout(self)
_main_vlayout.addWidget(self._data_path_widget)
_main_vlayout.addWidget(_parameters_gbox)
_main_vlayout.addWidget(self._comments_widget)
_main_vlayout.setSpacing(6)
_main_vlayout.setContentsMargins(2, 2, 2, 2)
_main_vlayout.addStretch(0)
# SizePolicies --------------------------------------------------------
self._comments_widget.setFixedHeight(100)
# Qt signal/slot connections ------------------------------------------
self._data_path_widget.pathTemplateChangedSignal.connect(
self.path_template_changed)
self.adjust_transmission_cbox.stateChanged.connect(
self.adjust_transmission_state_changed)
# Other ---------------------------------------------------------------
self._data_path_widget.data_path_layout.compression_cbox.setVisible(
False)
def set_expert_mode(self, state):
self.adjust_transmission_cbox.setEnabled(state)
def enable_compression(self, state):
CreateTaskBase.enable_compression(self, False)
def init_models(self):
CreateTaskBase.init_models(self)
self.xrf_spectrum_model = queue_model_objects.XRFSpectrum()
self._path_template.start_num = 1
self._path_template.num_files = 1
self._path_template.suffix = "raw"
self._path_template.compression = False
def single_item_selection(self, tree_item):
CreateTaskBase.single_item_selection(self, tree_item)
self.xrf_spectrum_model = tree_item.get_model()
if isinstance(tree_item, queue_item.XRFSpectrumQueueItem):
if self.xrf_spectrum_model.is_executed():
self.setDisabled(True)
else:
self.setDisabled(False)
if self.xrf_spectrum_model.get_path_template():
self._path_template = self.xrf_spectrum_model.get_path_template(
)
self._data_path_widget.update_data_model(self._path_template)
elif not (isinstance(tree_item, queue_item.SampleQueueItem)
or isinstance(tree_item,
queue_item.DataCollectionGroupQueueItem)):
self.setDisabled(True)
def approve_creation(self):
# base_result = CreateTaskBase.approve_creation(self)
base_result = True
self.count_time = None
try:
self.count_time = float(str(self.count_time_ledit.text()))
except BaseException:
logging.getLogger("GUI").error("Incorrect count time value.")
return base_result and self.count_time
# Called by the owning widget (task_toolbox_widget) to create
# a collection. When a data collection group is selected.
def _create_task(self, sample, shape, comments=None):
data_collections = []
if self.count_time is not None:
if not shape:
cpos = queue_model_objects.CentredPosition()
cpos.snapshot_image = HWR.beamline.sample_view.get_snapshot()
else:
# Shapes selected and sample is mounted, get the
# centred positions for the shapes
if isinstance(shape, GraphicsItemPoint):
snapshot = HWR.beamline.sample_view.get_snapshot(
shape=shape)
cpos = copy.deepcopy(shape.get_centred_position())
cpos.snapshot_image = snapshot
path_template = self._create_path_template(sample,
self._path_template)
xrf_spectrum = queue_model_objects.XRFSpectrum(
sample, path_template, cpos)
xrf_spectrum.set_name(path_template.get_prefix())
xrf_spectrum.set_number(path_template.run_number)
xrf_spectrum.count_time = self.count_time
xrf_spectrum.adjust_transmission = self.adjust_transmission_cbox.isChecked(
)
data_collections.append(xrf_spectrum)
else:
logging.getLogger("GUI").error("No count time specified.")
return data_collections
def adjust_transmission_state_changed(self, state):
self.xrf_spectrum_model.adjust_transmission = state > 0