| 19 | |
| 20 | |
| 21 | class GlobalProcessingClasses: |
| 22 | def __init__(self): |
| 23 | self.defaults = None |
| 24 | self.io_model = None |
| 25 | self.param_model = None |
| 26 | self.plot_model = None |
| 27 | self.fit_model = None |
| 28 | self.roi_model = None |
| 29 | self.img_model_adv = None |
| 30 | self.img_model_rgb = None |
| 31 | |
| 32 | def _get_defaults(self): |
| 33 | # Set working directory to current working directory (if PyXRF is started from shell) |
| 34 | working_directory = os.getcwd() |
| 35 | logger.info(f"Starting PyXRF in the current working directory '{working_directory}'") |
| 36 | default_parameters = param_data |
| 37 | return working_directory, default_parameters |
| 38 | |
| 39 | def initialize(self): |
| 40 | """ |
| 41 | Run the sequence of actions needed to initialize PyXRF modules. |
| 42 | """ |
| 43 | working_directory, default_parameters = self._get_defaults() |
| 44 | self.io_model = FileIOModel(working_directory=working_directory) |
| 45 | self.param_model = ParamModel(default_parameters=default_parameters, io_model=self.io_model) |
| 46 | self.plot_model = LinePlotModel(param_model=self.param_model, io_model=self.io_model) |
| 47 | self.fit_model = Fit1D(param_model=self.param_model, io_model=self.io_model) |
| 48 | self.roi_model = ROIModel(param_model=self.param_model, io_model=self.io_model) |
| 49 | self.img_model_adv = DrawImageAdvanced(io_model=self.io_model) |
| 50 | self.img_model_rgb = DrawImageRGB(io_model=self.io_model, img_model_adv=self.img_model_adv) |
| 51 | |
| 52 | # Initialization needed to eliminate program crash |
| 53 | self.plot_model.roi_dict = self.roi_model.roi_dict |
| 54 | |
| 55 | # send working directory changes to different models |
| 56 | self.io_model.observe("selected_file_name", self.fit_model.data_title_update) |
| 57 | self.io_model.observe("selected_file_name", self.plot_model.exp_label_update) |
| 58 | self.io_model.observe("selected_file_name", self.roi_model.data_title_update) |
| 59 | |
| 60 | # send the same file to fit model, as fitting results need to be saved |
| 61 | self.io_model.observe("file_path", self.fit_model.filepath_update) |
| 62 | self.io_model.observe("file_path", self.plot_model.plot_exp_data_update) |
| 63 | self.io_model.observe("file_path", self.roi_model.filepath_update) |
| 64 | self.io_model.observe("runid", self.fit_model.runid_update) |
| 65 | |
| 66 | # Perform updates when 'io_model.data' is changed (no data is passed) |
| 67 | self.io_model.observe("data", self.plot_model.exp_data_update) |
| 68 | |
| 69 | # send img dict to img_model for visualization |
| 70 | self.io_model.observe("img_dict_is_updated", self.fit_model.img_dict_updated) |
| 71 | self.io_model.observe("img_dict_is_updated", self.img_model_adv.img_dict_updated) |
| 72 | self.io_model.observe("img_dict_is_updated", self.img_model_rgb.img_dict_updated) |
| 73 | |
| 74 | self.io_model.observe("incident_energy_set", self.plot_model.set_incident_energy) |
| 75 | self.io_model.observe("incident_energy_set", self.img_model_adv.set_incident_energy) |
| 76 | |
| 77 | self.img_model_adv.observe("scaler_name_index", self.fit_model.scaler_index_update) |
| 78 |
no outgoing calls