class CreateDiscreteWidget(CreateTaskBase): """ Descript. : """ def __init__(self, parent=None, name=None, fl=0): """ Descript. : """ CreateTaskBase.__init__(self, parent, name, Qt.WindowFlags(fl), "Standart") 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 = 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(2) _main_vlayout.setContentsMargins(0, 0, 0, 0) # 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) self._acq_widget.acq_widget_layout.set_max_osc_range_button.clicked.\ connect(self.set_max_osc_total_range_clicked) # Other --------------------------------------------------------------- #self._processing_widget.processing_widget.\ # run_processing_parallel_cbox.hide() def init_models(self): """ Descript. : """ CreateTaskBase.init_models(self) self._energy_scan_result = queue_model_objects.EnergyScanResult() self._processing_parameters = queue_model_objects.ProcessingParameters( ) if self._beamline_setup_hwobj is not None: has_shutter_less = self._beamline_setup_hwobj.\ detector_has_shutterless() self._acquisition_parameters.shutterless = has_shutter_less self._acquisition_parameters = self._beamline_setup_hwobj.\ get_default_acquisition_parameters("default_acquisition_values") def set_tunable_energy(self, state): """ Descript. : """ self._acq_widget.set_tunable_energy(state) def update_processing_parameters(self, crystal): """ Descript. : """ 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): """ Descript. : """ CreateTaskBase.single_item_selection(self, tree_item) if isinstance(tree_item, Qt4_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, Qt4_queue_item.BasketQueueItem): self.setDisabled(False) elif isinstance(tree_item, Qt4_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): """ Descript. : """ result = CreateTaskBase.approve_creation(self) try: #This is very EMBL specific and soon will be removed if self._beamline_setup_hwobj.detector_hwobj.get_roi_mode_name( ) == "16M": file_size = 18. total_num_of_images = 14400 else: file_size = 18. / 4 total_num_of_images = 14400 * 4 num_images = float( self._acq_widget.acq_widget_layout.num_images_ledit.text()) total, free, perc = self._beamline_setup_hwobj.machine_info_hwobj.get_ramdisk_size( ) free_mb = free / (2**20) if num_images > total_num_of_images * free_mb / (125.8 * 1024): msg = "Ramdisk size (%d GB) is not enough to run the collection with " % ( free_mb / 1024) msg += "%d frames." % num_images logging.getLogger("GUI").error(msg) result = False except: pass 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): """ Descript. : """ tasks = [] if isinstance(shape, GraphicsItemPoint): snapshot = self._graphics_manager_hwobj.get_scene_snapshot(shape) cpos = copy.deepcopy(shape.get_centred_position()) cpos.snapshot_image = snapshot else: cpos = queue_model_objects.CentredPosition() cpos.snapshot_image = self._graphics_manager_hwobj.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): """ Descript. : """ 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() dc.run_processing_parallel = self._processing_widget.processing_widget.\ run_processing_parallel_cbox.isChecked() and \ acq.acquisition_parameters.num_images > 19 tasks.append(dc) return tasks def execute_task(self, sample): #All this should be in queue_entry level group_data = { 'sessionId': self._session_hwobj.session_id, 'experimentType': 'OSC' } gid = self._beamline_setup_hwobj.lims_client_hwobj.\ _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], \ self._session_hwobj, sample, None) self._beamline_setup_hwobj.collect_hwobj.collect(\ queue_model_enumerables.COLLECTION_ORIGIN_STR.MXCUBE, param_list) def set_max_osc_total_range_clicked(self): num_images = int( self._acq_widget.acq_widget_layout.num_images_ledit.text()) (lower, upper), exp_time = self._acq_widget.update_osc_total_range_limits() self._acq_widget.acq_widget_layout.osc_start_ledit.setText(\ "%.2f" % lower) self._acq_widget.acq_widget_layout.osc_total_range_ledit.setText(\ "%.2f" % abs(upper - lower)) self._acq_widget.acq_widget_layout.num_images_ledit.setText(\ "%d" % (abs(upper - lower) / float(self._acq_widget.acq_widget_layout.osc_range_ledit.text())))
class CreateDiscreteWidget(CreateTaskBase): """ Descript. : """ def __init__(self, parent=None, name=None, fl=0): """ Descript. : """ CreateTaskBase.__init__(self, parent, name, QtCore.Qt.WindowFlags(fl), "Standart") if not name: self.setObjectName("create_discrete_widget") self.init_models() # Hardware objects ---------------------------------------------------- # Internal variables -------------------------------------------------- self.previous_energy = 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._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 = QtGui.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(2) _main_vlayout.setContentsMargins(0,0,0,0) # SizePolicies -------------------------------------------------------- # 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) self._processing_widget.enableProcessingSignal.connect(\ self._run_processing_toggled) # Other --------------------------------------------------------------- self._processing_widget.processing_widget.\ run_processing_parallel_cbox.hide() def init_models(self): """ Descript. : """ CreateTaskBase.init_models(self) self._energy_scan_result = queue_model_objects.EnergyScanResult() self._processing_parameters = queue_model_objects.ProcessingParameters() def set_tunable_energy(self, state): """ Descript. : """ self._acq_widget.set_tunable_energy(state) def update_processing_parameters(self, crystal): """ Descript. : """ 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): """ Descript. : """ CreateTaskBase.single_item_selection(self, tree_item) if isinstance(tree_item, Qt4_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, Qt4_queue_item.BasketQueueItem): self.setDisabled(False) elif isinstance(tree_item, Qt4_queue_item.DataCollectionQueueItem): dc = tree_item.get_model() 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): """ Descript. : """ 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): """ Descript. : """ tasks = [] if isinstance(shape, GraphicsItemPoint): snapshot = self._graphics_manager_hwobj.get_scene_snapshot(shape) cpos = copy.deepcopy(shape.get_centred_position()) cpos.snapshot_image = snapshot else: cpos = queue_model_objects.CentredPosition() cpos.snapshot_image = self._graphics_manager_hwobj.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): """ Descript. : """ 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() dc.run_processing_parallel = False tasks.append(dc) return tasks def execute_task(self, sample): #All this should be in queue_entry level group_data = {'sessionId': self._session_hwobj.session_id, 'experimentType': 'OSC'} gid = self._beamline_setup_hwobj.lims_client_hwobj.\ _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], \ self._session_hwobj, sample, None) self._beamline_setup_hwobj.collect_hwobj.collect(\ queue_model_enumerables.COLLECTION_ORIGIN_STR.MXCUBE, param_list)
class CreateDiscreteWidget(CreateTaskBase): """ Descript. : """ def __init__(self, parent=None, name=None, fl=0): """ Descript. : """ CreateTaskBase.__init__(self, parent, name, QtCore.Qt.WindowFlags(fl), "Standart") if not name: self.setObjectName("Qt4_create_discrete_widget") # Hardware objects ---------------------------------------------------- # Internal variables -------------------------------------------------- self.previous_energy = 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._data_path_gbox = QtGui.QGroupBox('Data location', self) self._data_path_gbox.setObjectName('data_path_gbox') self._data_path_widget = \ DataPathWidget(self._data_path_gbox, 'create_dc_path_widget', data_model=self._path_template, layout='vertical') self._processing_gbox = QtGui.QGroupBox('Processing', self) self._processing_gbox.setObjectName('processing_gbox') self._processing_widget = \ ProcessingWidget(self._processing_gbox, data_model=self._processing_parameters) # Layout -------------------------------------------------------------- self._data_path_gbox_layout = QtGui.QVBoxLayout(self) self._data_path_gbox_layout.addWidget(self._data_path_widget) self._data_path_gbox_layout.setSpacing(0) self._data_path_gbox_layout.setContentsMargins(0, 0, 0, 0) self._data_path_gbox.setLayout(self._data_path_gbox_layout) self._processing_gbox_layout = QtGui.QVBoxLayout(self) self._processing_gbox_layout.addWidget(self._processing_widget) self._processing_gbox_layout.setSpacing(0) self._processing_gbox_layout.setContentsMargins(0, 0, 0, 0) self._processing_gbox.setLayout(self._processing_gbox_layout) self.main_layout = QtGui.QVBoxLayout(self) self.main_layout.addWidget(self._acq_widget) self.main_layout.addWidget(self._data_path_gbox) self.main_layout.addWidget(self._processing_gbox) self.main_layout.addSpacing(10) self.main_layout.setSpacing(0) self.main_layout.setContentsMargins(0, 0, 0, 0) self.setLayout(self.main_layout) # SizePolicies -------------------------------------------------------- """self._acq_widget.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Fixed) self._data_path_gbox.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) self._processing_gbox.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)""" # Qt signal/slot connections ------------------------------------------ self._processing_gbox.toggled.connect(self._use_processing_toggled) 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.connect(self._acq_widget, QtCore.SIGNAL('mad_energy_selected'), self.mad_energy_selected) self.connect(self._acq_widget, QtCore.SIGNAL("pathTemplateChanged"), self.handle_path_conflict) self.connect(self._data_path_widget, QtCore.SIGNAL("pathTemplateChanged"), self.handle_path_conflict) # Other --------------------------------------------------------------- def init_models(self): """ Descript. : """ CreateTaskBase.init_models(self) self._energy_scan_result = queue_model_objects.EnergyScanResult() self._processing_parameters = queue_model_objects.ProcessingParameters() def set_tunable_energy(self, state): """ Descript. : """ self._acq_widget.set_tunable_energy(state) def update_processing_parameters(self, crystal): """ Descript. : """ 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 mad_energy_selected(self, name, energy, state): """ Descript. : """ item = self._current_selected_items[0] model = item.get_model() if state: self._path_template.mad_prefix = name else: self._path_template.mad_prefix = '' run_number = self._beamline_setup_hwobj.queue_model_hwobj.\ get_next_run_number(self._path_template) data_path_widget = self.get_data_path_widget() data_path_widget.set_run_number(run_number) data_path_widget.set_prefix(self._path_template.base_prefix) if self.isEnabled(): if isinstance(item, Qt4_queue_item.TaskQueueItem) and \ not isinstance(item, Qt4_queue_item.DataCollectionGroupQueueItem): model.set_name(self._path_template.get_prefix()) item.setText(0, model.get_name()) def single_item_selection(self, tree_item): """ Descript. : """ CreateTaskBase.single_item_selection(self, tree_item) if isinstance(tree_item, Qt4_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) self._acq_widget.disable_inverse_beam(False) elif isinstance(tree_item, Qt4_queue_item.DataCollectionQueueItem): dc = tree_item.get_model() if dc.experiment_type != queue_model_enumerables.EXPERIMENT_TYPE.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): """ Descript. : """ result = CreateTaskBase.approve_creation(self) selected_shapes = self._graphics_manager_hwobj.get_selected_shapes() for shape in selected_shapes: if isinstance(shape, Qt4_GraphicsManager.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): """ Descript. : """ tasks = [] if not shape: cpos = queue_model_objects.CentredPosition() cpos.snapshot_image = self._graphics_manager_hwobj.get_snapshot() else: # Shapes selected and sample is mounted, get the # centred positions for the shapes if isinstance(shape, Qt4_GraphicsManager.GraphicsItemPoint): snapshot = self._graphics_manager_hwobj.\ get_snapshot([shape]) cpos = copy.deepcopy(shape.get_centred_positions()[0]) cpos.snapshot_image = snapshot if self._acq_widget.use_inverse_beam(): total_num_images = self._acquisition_parameters.num_images subwedge_size = self._acq_widget.get_num_subwedges() osc_range = self._acquisition_parameters.osc_range osc_start = self._acquisition_parameters.osc_start run_number = self._path_template.run_number subwedges = queue_model_objects.create_inverse_beam_sw(total_num_images, subwedge_size, osc_range, osc_start, run_number) self._acq_widget.set_use_inverse_beam(False) for sw in subwedges: tasks.extend(self.create_dc(sample, sw[3], sw[0], sw[1], sw[2], cpos=cpos, inverse_beam = True)) self._path_template.run_number += 1 else: 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): """ Descript. : """ 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 tasks.append(dc) return tasks
class CreateDiscreteWidget(CreateTaskBase): """ Descript. : """ def __init__(self, parent=None, name=None, fl=0): """ Descript. : """ CreateTaskBase.__init__(self, parent, name, 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 = 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 --------------------------------------------------------------- def init_models(self): """ Descript. : """ CreateTaskBase.init_models(self) #self._energy_scan_result = queue_model_objects.EnergyScanResult() self._processing_parameters = queue_model_objects.ProcessingParameters() if self._beamline_setup_hwobj is not None: has_shutter_less = self._beamline_setup_hwobj.\ detector_has_shutterless() self._acquisition_parameters.shutterless = has_shutter_less self._acquisition_parameters = self._beamline_setup_hwobj.\ get_default_acquisition_parameters("default_acquisition_values") self._processing_widget.processing_widget.run_processing_parallel_cbox.setChecked(\ self._beamline_setup_hwobj._get_run_processing_parallel()) def set_tunable_energy(self, state): """ Descript. : """ self._acq_widget.set_tunable_energy(state) def update_processing_parameters(self, crystal): """ Descript. : """ 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): """ Descript. : """ CreateTaskBase.single_item_selection(self, tree_item) if isinstance(tree_item, Qt4_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, Qt4_queue_item.BasketQueueItem): self.setDisabled(False) elif isinstance(tree_item, Qt4_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): """ Descript. : """ result = CreateTaskBase.approve_creation(self) try: #This is very EMBL specific and soon will be removed if self._beamline_setup_hwobj.detector_hwobj.get_roi_mode_name() == "16M": file_size = 18. total_num_of_images = 14400 else: file_size = 18. / 4 total_num_of_images = 14400 * 4 num_images = float(self._acq_widget.acq_widget_layout.num_images_ledit.text()) total, free, perc = self._beamline_setup_hwobj.machine_info_hwobj.get_ramdisk_size() free_mb = free / (2 ** 20) if num_images > total_num_of_images * free_mb / (125.8 * 1024): msg = "Ramdisk size (%d GB) is not enough to run the collection with " % (free_mb / 1024) msg += "%d frames." % num_images logging.getLogger("GUI").error(msg) result = False except: pass 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): """ Descript. : """ tasks = [] if isinstance(shape, GraphicsItemPoint): snapshot = self._graphics_manager_hwobj.get_scene_snapshot(shape) cpos = copy.deepcopy(shape.get_centred_position()) cpos.snapshot_image = snapshot else: cpos = queue_model_objects.CentredPosition() cpos.snapshot_image = self._graphics_manager_hwobj.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): """ Descript. : """ 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': self._session_hwobj.session_id, 'experimentType': 'OSC'} gid = self._beamline_setup_hwobj.lims_client_hwobj.\ _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], \ self._session_hwobj, sample, None) self._beamline_setup_hwobj.collect_hwobj.collect(\ queue_model_enumerables.COLLECTION_ORIGIN_STR.MXCUBE, param_list) def set_max_osc_total_range_clicked(self): num_images = int(self._acq_widget.acq_widget_layout.num_images_ledit.text()) (lower, upper), exp_time = self._acq_widget.update_osc_total_range_limits() self._acq_widget.acq_widget_layout.osc_start_ledit.setText(\ "%.3f" % (lower + 0.001)) self._acq_widget.acq_widget_layout.osc_total_range_ledit.setText(\ "%.3f" % abs(upper - lower)) self._acq_widget.acq_widget_layout.num_images_ledit.setText(\ "%d" % (abs(upper - lower) / float(self._acq_widget.acq_widget_layout.osc_range_ledit.text())))
class CreateDiscreteWidget(CreateTaskBase): """ Descript. : """ def __init__(self, parent=None, name=None, fl=0): """ Descript. : """ CreateTaskBase.__init__(self, parent, name, QtCore.Qt.WindowFlags(fl), "Standart") if not name: self.setObjectName("Qt4_create_discrete_widget") self.init_models() # Hardware objects ---------------------------------------------------- # Internal variables -------------------------------------------------- self.previous_energy = 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._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 = QtGui.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(2) _main_vlayout.setContentsMargins(0, 0, 0, 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._data_path_widget.pathTemplateChangedSignal.connect(\ self.handle_path_conflict) self._acq_widget.acqParametersChangedSignal.connect(\ self.handle_path_conflict) self._acq_widget.madEnergySelectedSignal.connect(\ self.mad_energy_selected) self._processing_widget.enableProcessingSignal.connect(\ self._enable_processing_toggled) # Other --------------------------------------------------------------- def init_models(self): """ Descript. : """ CreateTaskBase.init_models(self) self._energy_scan_result = queue_model_objects.EnergyScanResult() self._processing_parameters = queue_model_objects.ProcessingParameters( ) def set_tunable_energy(self, state): """ Descript. : """ self._acq_widget.set_tunable_energy(state) def update_processing_parameters(self, crystal): """ Descript. : """ 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): """ Descript. : """ CreateTaskBase.single_item_selection(self, tree_item) if isinstance(tree_item, Qt4_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) self._acq_widget.disable_inverse_beam(False) elif isinstance(tree_item, Qt4_queue_item.BasketQueueItem): self.setDisabled(False) elif isinstance(tree_item, Qt4_queue_item.DataCollectionQueueItem): dc = tree_item.get_model() if dc.experiment_type != queue_model_enumerables.EXPERIMENT_TYPE.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): """ Descript. : """ 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): """ Descript. : """ tasks = [] if isinstance(shape, GraphicsItemPoint): snapshot = self._graphics_manager_hwobj.get_snapshot(shape) cpos = copy.deepcopy(shape.get_centred_position()) cpos.snapshot_image = snapshot else: cpos = queue_model_objects.CentredPosition() cpos.snapshot_image = self._graphics_manager_hwobj.get_snapshot() if self._acq_widget.use_inverse_beam(): total_num_images = self._acquisition_parameters.num_images subwedge_size = self._acq_widget.get_num_subwedges() osc_range = self._acquisition_parameters.osc_range osc_start = self._acquisition_parameters.osc_start run_number = self._path_template.run_number subwedges = queue_model_objects.create_inverse_beam_sw( total_num_images, subwedge_size, osc_range, osc_start, run_number) self._acq_widget.set_use_inverse_beam(False) for sw in subwedges: tasks.extend( self.create_dc(sample, sw[3], sw[0], sw[1], sw[2], cpos=cpos, inverse_beam=True)) self._path_template.run_number += 1 else: 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): """ Descript. : """ 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 tasks.append(dc) return tasks