Source code for sas.qtgui.Utilities.GuiUtils

# -*- coding: utf-8 -*-
"""
Global defaults and various utility functions usable by the general GUI
"""

import os
import re
import sys
import imp
import warnings
import webbrowser
import urllib.parse
import json
import types
from io import BytesIO

import numpy as np

warnings.simplefilter("ignore")
import logging

from PyQt5 import QtCore
from PyQt5 import QtGui
from PyQt5 import QtWidgets

from periodictable import formula as Formula
from sas.qtgui.Plotting import DataTransform
from sas.qtgui.Plotting.ConvertUnits import convertUnit
from sas.qtgui.Plotting.PlotterData import Data1D
from sas.qtgui.Plotting.PlotterData import Data2D
from sas.qtgui.Plotting.Plottables import Plottable
from sas.sascalc.dataloader.data_info import Sample, Source, Vector
from sas.sascalc.dataloader.data_info import Detector, Process, TransmissionSpectrum
from sas.sascalc.dataloader.data_info import Aperture, Collimation
from sas.qtgui.Plotting.Plottables import View
from sas.qtgui.Plotting.Plottables import PlottableTheory1D
from sas.qtgui.Plotting.Plottables import PlottableFit1D
from sas.qtgui.Plotting.Plottables import Text
from sas.qtgui.Plotting.Plottables import Chisq
from sas.qtgui.MainWindow.DataState import DataState

from sas.sascalc.fit.AbstractFitEngine import FResult
from sas.sascalc.fit.AbstractFitEngine import FitData1D, FitData2D
from sasmodels.sasview_model import SasviewModel

from sas.sascalc.dataloader.loader import Loader
from sas.sascalc.file_converter.nxcansas_writer import NXcanSASWriter

from sas.qtgui.Utilities import CustomDir

if os.path.splitext(sys.argv[0])[1].lower() != ".py":
        HELP_DIRECTORY_LOCATION = "doc"
else:
        HELP_DIRECTORY_LOCATION = "docs/sphinx-docs/build/html"
IMAGES_DIRECTORY_LOCATION = HELP_DIRECTORY_LOCATION + "/_images"

# This matches the ID of a plot created using FittingLogic._create1DPlot, e.g.
# "5 [P(Q)] modelname"
# or
# "4 modelname".
# Useful for determining whether the plot in question is for an intermediate result, such as P(Q) or S(Q) in the
# case of a product model; the identifier for this is held in square brackets, as in the example above.
theory_plot_ID_pattern = re.compile(r"^([0-9]+)\s+(\[(.*)\]\s+)?(.*)$")

[docs]def get_app_dir(): """ The application directory is the one where the default custom_config.py file resides. :returns: app_path - the path to the applicatin directory """ # First, try the directory of the executable we are running app_path = sys.path[0] if os.path.isfile(app_path): app_path = os.path.dirname(app_path) if os.path.isfile(os.path.join(app_path, "custom_config.py")): app_path = os.path.abspath(app_path) #logging.info("Using application path: %s", app_path) return app_path # Next, try the current working directory if os.path.isfile(os.path.join(os.getcwd(), "custom_config.py")): #logging.info("Using application path: %s", os.getcwd()) return os.path.abspath(os.getcwd()) # Finally, try the directory of the sasview module # TODO: gui_manager will have to know about sasview until we # clean all these module variables and put them into a config class # that can be passed by sasview.py. # logging.info(sys.executable) # logging.info(str(sys.argv)) from sas import sasview as sasview app_path = os.path.dirname(sasview.__file__) # logging.info("Using application path: %s", app_path) return app_path
[docs]def get_user_directory(): """ Returns the user's home directory """ userdir = os.path.join(os.path.expanduser("~"), ".sasview") if not os.path.isdir(userdir): os.makedirs(userdir) return userdir
def _find_local_config(confg_file, path): """ Find configuration file for the current application """ config_module = None fObj = None try: fObj, path_config, descr = imp.find_module(confg_file, [path]) config_module = imp.load_module(confg_file, fObj, path_config, descr) except ImportError: pass except ValueError: print("Value error") pass finally: if fObj is not None: fObj.close() return config_module # Get APP folder PATH_APP = get_app_dir() DATAPATH = PATH_APP # Read in the local config, which can either be with the main # application or in the installation directory config = _find_local_config('local_config', PATH_APP) if config is None: config = _find_local_config('local_config', os.getcwd()) else: pass c_conf_dir = CustomDir.setup_conf_dir(PATH_APP) custom_config = _find_local_config('custom_config', c_conf_dir) if custom_config is None: custom_config = _find_local_config('custom_config', os.getcwd()) if custom_config is None: msgConfig = "Custom_config file was not imported" logging.info("Custom config path: %s", custom_config) #read some constants from config APPLICATION_STATE_EXTENSION = config.APPLICATION_STATE_EXTENSION APPLICATION_NAME = config.__appname__ SPLASH_SCREEN_PATH = config.SPLASH_SCREEN_PATH WELCOME_PANEL_ON = config.WELCOME_PANEL_ON SPLASH_SCREEN_WIDTH = config.SPLASH_SCREEN_WIDTH SPLASH_SCREEN_HEIGHT = config.SPLASH_SCREEN_HEIGHT SS_MAX_DISPLAY_TIME = config.SS_MAX_DISPLAY_TIME if not WELCOME_PANEL_ON: WELCOME_PANEL_SHOW = False else: WELCOME_PANEL_SHOW = True try: DATALOADER_SHOW = custom_config.DATALOADER_SHOW TOOLBAR_SHOW = custom_config.TOOLBAR_SHOW FIXED_PANEL = custom_config.FIXED_PANEL if WELCOME_PANEL_ON: WELCOME_PANEL_SHOW = custom_config.WELCOME_PANEL_SHOW PLOPANEL_WIDTH = custom_config.PLOPANEL_WIDTH DATAPANEL_WIDTH = custom_config.DATAPANEL_WIDTH GUIFRAME_WIDTH = custom_config.GUIFRAME_WIDTH GUIFRAME_HEIGHT = custom_config.GUIFRAME_HEIGHT CONTROL_WIDTH = custom_config.CONTROL_WIDTH CONTROL_HEIGHT = custom_config.CONTROL_HEIGHT DEFAULT_PERSPECTIVE = custom_config.DEFAULT_PERSPECTIVE CLEANUP_PLOT = custom_config.CLEANUP_PLOT SAS_OPENCL = custom_config.SAS_OPENCL # custom open_path open_folder = custom_config.DEFAULT_OPEN_FOLDER if open_folder is not None and os.path.isdir(open_folder): DEFAULT_OPEN_FOLDER = os.path.abspath(open_folder) else: DEFAULT_OPEN_FOLDER = PATH_APP except AttributeError: DATALOADER_SHOW = True TOOLBAR_SHOW = True FIXED_PANEL = True WELCOME_PANEL_SHOW = False PLOPANEL_WIDTH = config.PLOPANEL_WIDTH DATAPANEL_WIDTH = config.DATAPANEL_WIDTH GUIFRAME_WIDTH = config.GUIFRAME_WIDTH GUIFRAME_HEIGHT = config.GUIFRAME_HEIGHT CONTROL_WIDTH = -1 CONTROL_HEIGHT = -1 DEFAULT_PERSPECTIVE = None CLEANUP_PLOT = False DEFAULT_OPEN_FOLDER = PATH_APP SAS_OPENCL = config.SAS_OPENCL #DEFAULT_STYLE = config.DEFAULT_STYLE PLUGIN_STATE_EXTENSIONS = config.PLUGIN_STATE_EXTENSIONS OPEN_SAVE_MENU = config.OPEN_SAVE_PROJECT_MENU VIEW_MENU = config.VIEW_MENU EDIT_MENU = config.EDIT_MENU extension_list = [] if APPLICATION_STATE_EXTENSION is not None: extension_list.append(APPLICATION_STATE_EXTENSION) EXTENSIONS = PLUGIN_STATE_EXTENSIONS + extension_list try: PLUGINS_WLIST = '|'.join(config.PLUGINS_WLIST) except AttributeError: PLUGINS_WLIST = '' APPLICATION_WLIST = config.APPLICATION_WLIST IS_WIN = True IS_LINUX = False CLOSE_SHOW = True TIME_FACTOR = 2 NOT_SO_GRAPH_LIST = ["BoxSum"]
[docs]class Communicate(QtCore.QObject): """ Utility class for tracking of the Qt signals """ # File got successfully read fileReadSignal = QtCore.pyqtSignal(list) # Open File returns "list" of paths fileDataReceivedSignal = QtCore.pyqtSignal(dict) # Update Main window status bar with "str" # Old "StatusEvent" statusBarUpdateSignal = QtCore.pyqtSignal(str) # Send data to the current perspective updatePerspectiveWithDataSignal = QtCore.pyqtSignal(list) # New data in current perspective updateModelFromPerspectiveSignal = QtCore.pyqtSignal(QtGui.QStandardItem) # New theory data in current perspective updateTheoryFromPerspectiveSignal = QtCore.pyqtSignal(QtGui.QStandardItem) # Request to delete plots (in the theory view) related to a given model ID deleteIntermediateTheoryPlotsSignal = QtCore.pyqtSignal(str) # New plot requested from the GUI manager # Old "NewPlotEvent" plotRequestedSignal = QtCore.pyqtSignal(list, int) # Plot from file names plotFromNameSignal = QtCore.pyqtSignal(str) # Plot update requested from a perspective plotUpdateSignal = QtCore.pyqtSignal(list) # Progress bar update value progressBarUpdateSignal = QtCore.pyqtSignal(int) # Workspace charts added/removed activeGraphsSignal = QtCore.pyqtSignal(list) # Current workspace chart's name changed activeGraphName = QtCore.pyqtSignal(tuple) # Current perspective changed perspectiveChangedSignal = QtCore.pyqtSignal(str) # File/dataset got deleted dataDeletedSignal = QtCore.pyqtSignal(list) # Send data to Data Operation Utility panel sendDataToPanelSignal = QtCore.pyqtSignal(dict) # Send result of Data Operation Utility panel to Data Explorer updateModelFromDataOperationPanelSignal = QtCore.pyqtSignal(QtGui.QStandardItem, dict) # Notify about a new custom plugin being written/deleted/modified customModelDirectoryChanged = QtCore.pyqtSignal() # Notify the gui manager about new data to be added to the grid view sendDataToGridSignal = QtCore.pyqtSignal(list) # Mask Editor requested maskEditorSignal = QtCore.pyqtSignal(Data2D) #second Mask Editor for external extMaskEditorSignal = QtCore.pyqtSignal() # Fitting parameter copy to clipboard copyFitParamsSignal = QtCore.pyqtSignal(str) # Fitting parameter copy to clipboard for Excel copyExcelFitParamsSignal = QtCore.pyqtSignal(str) # Fitting parameter copy to clipboard for Latex copyLatexFitParamsSignal = QtCore.pyqtSignal(str) # Fitting parameter copy to clipboard for Latex SaveFitParamsSignal = QtCore.pyqtSignal(str) # Fitting parameter paste from clipboard pasteFitParamsSignal = QtCore.pyqtSignal() # Notify about new categories/models from category manager updateModelCategoriesSignal = QtCore.pyqtSignal() # Tell the data explorer to switch tabs changeDataExplorerTabSignal = QtCore.pyqtSignal(int) # Plot fitting results (FittingWidget->GuiManager) resultPlotUpdateSignal = QtCore.pyqtSignal(list) # show the plot as a regular in-workspace object forcePlotDisplaySignal = QtCore.pyqtSignal(list) # Update the masked ranges in fitting updateMaskedDataSignal = QtCore.pyqtSignal()
[docs]def updateModelItemWithPlot(item, update_data, name="", checkbox_state=None): """ Adds a checkboxed row named "name" to QStandardItem Adds 'update_data' to that row. """ assert isinstance(item, QtGui.QStandardItem) # Check if data with the same ID is already present for index in range(item.rowCount()): plot_item = item.child(index) if not plot_item.isCheckable(): continue plot_data = plot_item.child(0).data() if plot_data.id is not None and \ plot_data.name == update_data.name: #(plot_data.name == update_data.name or plot_data.id == update_data.id): # if plot_data.id is not None and plot_data.id == update_data.id: # replace data section in item plot_item.child(0).setData(update_data) plot_item.setText(name) # Plot title if any if plot_item.child(1).hasChildren(): plot_item.child(1).child(0).setText("Title: %s"%name) # Force redisplay return # Create the new item checkbox_item = createModelItemWithPlot(update_data, name) if checkbox_state is not None: checkbox_item.setCheckState(checkbox_state) # Append the new row to the main item item.appendRow(checkbox_item)
[docs]def deleteRedundantPlots(item, new_plots): """ Checks all plots that are children of the given item; if any have an ID or name not included in new_plots, it is deleted. Useful for e.g. switching from P(Q)S(Q) to P(Q); this would remove the old S(Q) plot. Ensure that new_plots contains ALL the relevant plots(!!!) """ assert isinstance(item, QtGui.QStandardItem) # lists of plots names/ids for all deletable plots on item names = [p.name for p in new_plots if p.name is not None] ids = [p.id for p in new_plots if p.id is not None] items_to_delete = [] for index in range(item.rowCount()): plot_item = item.child(index) if not plot_item.isCheckable(): continue plot_data = plot_item.child(0).data() if (plot_data.id is not None) and \ (plot_data.id not in ids) and \ (plot_data.name not in names) and \ (plot_data.plot_role == Data1D.ROLE_DELETABLE): items_to_delete.append(plot_item) for plot_item in items_to_delete: item.removeRow(plot_item.row())
[docs]class HashableStandardItem(QtGui.QStandardItem): """ Subclassed standard item with reimplemented __hash__ to allow for use as an index. """ def __init__(self, parent=None): super(HashableStandardItem, self).__init__() def __hash__(self): ''' just a random hash value ''' #return hash(self.__init__) return 0
[docs] def clone(self): ''' Assure __hash__ is cloned as well''' clone = super(HashableStandardItem, self).clone() clone.__hash__ = self.__hash__ return clone
[docs]def getMonospaceFont(): """Convenience function; returns a monospace font to be used in any shells, code editors, etc.""" # Note: Consolas is only available on Windows; the style hint is used on other operating systems font = QtGui.QFont("Consolas", 10) font.setStyleHint(QtGui.QFont.Monospace, QtGui.QFont.PreferQuality) return font
[docs]def createModelItemWithPlot(update_data, name=""): """ Creates a checkboxed QStandardItem named "name" Adds 'update_data' to that row. """ py_update_data = update_data checkbox_item = HashableStandardItem() checkbox_item.setCheckable(True) checkbox_item.setCheckState(QtCore.Qt.Unchecked) checkbox_item.setText(name) # Add "Info" item if isinstance(py_update_data, (Data1D, Data2D)): # If Data1/2D added - extract Info from it info_item = infoFromData(py_update_data) else: # otherwise just add a naked item info_item = QtGui.QStandardItem("Info") # Add the actual Data1D/Data2D object object_item = QtGui.QStandardItem() object_item.setData(update_data) # Set the data object as the first child checkbox_item.setChild(0, object_item) # Set info_item as the second child checkbox_item.setChild(1, info_item) # And return the newly created item return checkbox_item
[docs]def updateModelItem(item, update_data, name=""): """ Adds a simple named child to QStandardItem """ assert isinstance(item, QtGui.QStandardItem) # Add the actual Data1D/Data2D object object_item = QtGui.QStandardItem() object_item.setText(name) object_item.setData(update_data) # Append the new row to the main item item.appendRow(object_item)
[docs]def updateModelItemStatus(model_item, filename="", name="", status=2): """ Update status of checkbox related to high- and low-Q extrapolation choice in Invariant Panel """ assert isinstance(model_item, QtGui.QStandardItemModel) # Iterate over model looking for items with checkboxes for index in range(model_item.rowCount()): item = model_item.item(index) if item.text() == filename and item.isCheckable() \ and item.checkState() == QtCore.Qt.Checked: # Going 1 level deeper only for index_2 in range(item.rowCount()): item_2 = item.child(index_2) if item_2 and item_2.isCheckable() and item_2.text() == name: item_2.setCheckState(status) return
[docs]def itemFromDisplayName(name, model_item): """ Returns the model item text=name in the model """ assert isinstance(model_item, QtGui.QStandardItemModel) assert isinstance(name, str) # Iterate over model looking for named items item = list([i for i in [model_item.item(index) for index in range(model_item.rowCount())] if str(i.text()) == name]) return item[0] if len(item)>0 else None
[docs]def plotsFromModel(model_name, model_item): """ Returns the list of plots for the item with model name in the model """ assert isinstance(model_item, QtGui.QStandardItem) assert isinstance(model_name, str) plot_data = [] # Iterate over model looking for named items for index in range(model_item.rowCount()): item = model_item.child(index) if isinstance(item.data(), (Data1D, Data2D)): plot_data.append(item.data()) if model_name in str(item.text()): #plot_data.append(item.child(0).data()) # Going 1 level deeper only for index_2 in range(item.rowCount()): item_2 = item.child(index_2) if item_2 and isinstance(item_2.data(), (Data1D, Data2D)): plot_data.append(item_2.data()) return plot_data
[docs]def plotsOfType(model, datatype=Data1D): """ Returns the list of plots for the whole model of type `datatype` """ assert isinstance(model, QtGui.QStandardItemModel) assert (isinstance(datatype, Data1D) or isinstance(datatype, Data2D)) plot_data = [] # Iterate over model looking for named items for index in range(model.rowCount()): item = model.item(index) data = item.child(0).data() if isinstance(data, datatype): plot_data[item.text()] = data # Going 1 level deeper only for index_2 in range(item.rowCount()): item_2 = item.child(index_2) if item_2 and item_2.isCheckable() and isinstance(item_2.child(0).data, datatype): plot_data[item_2.text()] = item_2.child(0).data() return plot_data
[docs]def plotsFromDisplayName(name, model_item): """ Returns the list of plots for the item with text=name in the model """ assert isinstance(model_item, QtGui.QStandardItemModel) assert isinstance(name, str) plot_data = {} # Iterate over model looking for named items for index in range(model_item.rowCount()): item = model_item.item(index) if name in str(item.text()): # TODO: assure item type is correct (either data1/2D or Plotter) plot_data[item] = item.child(0).data() # Going 1 level deeper only for index_2 in range(item.rowCount()): item_2 = item.child(index_2) if item_2 and item_2.isCheckable(): # TODO: assure item type is correct (either data1/2D or Plotter) plot_data[item_2] = item_2.child(0).data() return plot_data
[docs]def getChildrenFromItem(root): """ Recursively go down the model item looking for all children """ def recurse(parent): for row in range(parent.rowCount()): for column in range(parent.columnCount()): child = parent.child(row, column) yield child if child.hasChildren(): yield from recurse(child) if root is not None: yield from recurse(root)
[docs]def plotsFromCheckedItems(model_item): """ Returns the list of plots for items in the model which are checked """ assert isinstance(model_item, QtGui.QStandardItemModel) plot_data = [] # Iterate over model looking for items with checkboxes for index in range(model_item.rowCount()): item = model_item.item(index) if item and item.isCheckable() and item.checkState() == QtCore.Qt.Checked: data = item.child(0).data() plot_data.append((item, data)) items = list(getChildrenFromItem(item)) for it in items: if it.isCheckable() and it.checkState() == QtCore.Qt.Checked: data = it.child(0).data() plot_data.append((it, data)) return plot_data
[docs]def infoFromData(data): """ Given Data1D/Data2D object, extract relevant Info elements and add them to a model item """ assert isinstance(data, (Data1D, Data2D)) info_item = QtGui.QStandardItem("Info") title_item = QtGui.QStandardItem("Title: " + data.title) info_item.appendRow(title_item) run_item = QtGui.QStandardItem("Run: " + str(data.run)) info_item.appendRow(run_item) type_item = QtGui.QStandardItem("Type: " + str(data.__class__.__name__)) info_item.appendRow(type_item) if data.path: path_item = QtGui.QStandardItem("Path: " + data.path) info_item.appendRow(path_item) if data.instrument: instr_item = QtGui.QStandardItem("Instrument: " + data.instrument) info_item.appendRow(instr_item) process_item = QtGui.QStandardItem("Process") if isinstance(data.process, list) and data.process: for process in data.process: if process is None: continue process_date = process.date process_date_item = QtGui.QStandardItem("Date: " + process_date) process_item.appendRow(process_date_item) process_descr = process.description process_descr_item = QtGui.QStandardItem("Description: " + process_descr) process_item.appendRow(process_descr_item) process_name = process.name process_name_item = QtGui.QStandardItem("Name: " + process_name) process_item.appendRow(process_name_item) info_item.appendRow(process_item) return info_item
[docs]def dataFromItem(item): """ Retrieve Data1D/2D component from QStandardItem. The assumption - data stored in SasView standard, in child 0 """ try: data = item.child(0).data() except AttributeError: data = None return data
[docs]def showHelp(url): """ Open a local url in the default browser """ location = HELP_DIRECTORY_LOCATION + url #WP: Added to handle OSX bundle docs if os.path.isdir(location) == False: sas_path = os.path.abspath(os.path.dirname(sys.argv[0])) location = sas_path+"/"+location try: webbrowser.open('file://' + os.path.realpath(location)) except webbrowser.Error as ex: logging.warning("Cannot display help. %s" % ex)
[docs]def retrieveData1d(data): """ Retrieve 1D data from file and construct its text representation """ if not isinstance(data, Data1D): msg = "Incorrect type passed to retrieveData1d" raise AttributeError(msg) try: xmin = min(data.x) ymin = min(data.y) except: msg = "Unable to find min/max of \n data named %s" % \ data.filename #logging.error(msg) raise ValueError(msg) text = data.__str__() text += 'Data Min Max:\n' text += 'X_min = %s: X_max = %s\n' % (xmin, max(data.x)) text += 'Y_min = %s: Y_max = %s\n' % (ymin, max(data.y)) if data.dy is not None: text += 'dY_min = %s: dY_max = %s\n' % (min(data.dy), max(data.dy)) text += '\nData Points:\n' x_st = "X" for index in range(len(data.x)): if data.dy is not None and len(data.dy) > index: dy_val = data.dy[index] else: dy_val = 0.0 if data.dx is not None and len(data.dx) > index: dx_val = data.dx[index] else: dx_val = 0.0 if data.dxl is not None and len(data.dxl) > index: if index == 0: x_st = "Xl" dx_val = data.dxl[index] elif data.dxw is not None and len(data.dxw) > index: if index == 0: x_st = "Xw" dx_val = data.dxw[index] if index == 0: text += "<index> \t<X> \t<Y> \t<dY> \t<d%s>\n" % x_st text += "%s \t%s \t%s \t%s \t%s\n" % (index, data.x[index], data.y[index], dy_val, dx_val) return text
[docs]def retrieveData2d(data): """ Retrieve 2D data from file and construct its text representation """ if not isinstance(data, Data2D): msg = "Incorrect type passed to retrieveData2d" raise AttributeError(msg) text = data.__str__() text += 'Data Min Max:\n' text += 'I_min = %s\n' % min(data.data) text += 'I_max = %s\n\n' % max(data.data) text += 'Data (First 2501) Points:\n' text += 'Data columns include err(I).\n' text += 'ASCII data starts here.\n' text += "<index> \t<Qx> \t<Qy> \t<I> \t<dI> \t<dQparal> \t<dQperp>\n" di_val = 0.0 dx_val = 0.0 dy_val = 0.0 len_data = len(data.qx_data) for index in range(0, len_data): x_val = data.qx_data[index] y_val = data.qy_data[index] i_val = data.data[index] if data.err_data is not None: di_val = data.err_data[index] if data.dqx_data is not None: dx_val = data.dqx_data[index] if data.dqy_data is not None: dy_val = data.dqy_data[index] text += "%s \t%s \t%s \t%s \t%s \t%s \t%s\n" % (index, x_val, y_val, i_val, di_val, dx_val, dy_val) # Takes too long time for typical data2d: Break here if index >= 2500: text += ".............\n" break return text
[docs]def onTXTSave(data, path): """ Save file as formatted txt """ with open(path,'w') as out: has_errors = True if data.dy is None or not data.dy.any(): has_errors = False # Sanity check if has_errors: try: if len(data.y) != len(data.dy): has_errors = False except: has_errors = False if has_errors: if data.dx is not None and data.dx.any(): out.write("<X>"+" "*20+ "<Y>"+" "*20+"<dY>"+" "*20+"<dX>\n") #out.write("<X> <Y> <dY> <dX>\n") else: out.write("<X>"+" "*20+ "<Y>"+" "*20+"<dY>\n") else: out.write("<X>"+" "*20+ "<Y>\n") for i in range(len(data.x)): if has_errors: if data.dx is not None and data.dx.any(): if data.dx[i] is not None: out.write("%.15e %.15e %.15e %.15e\n" % (data.x[i], data.y[i], data.dy[i], data.dx[i])) else: out.write("%.15e %.15e %.15e\n" % (data.x[i], data.y[i], data.dy[i])) else: out.write("%.15e %.15e %.15e\n" % (data.x[i], data.y[i], data.dy[i])) else: out.write("%.15e %.15e\n" % (data.x[i], data.y[i]))
[docs]def saveData1D(data): """ Save 1D data points """ default_name = os.path.basename(data.filename) default_name, extension = os.path.splitext(default_name) if not extension: extension = ".txt" default_name += "_out" + extension wildcard = "Text files (*.txt);;"\ "CanSAS 1D files(*.xml);;"\ "NXcanSAS files (*.h5)" kwargs = { 'caption' : 'Save As', #'directory' : default_name, 'filter' : wildcard, 'parent' : None, 'options' : QtWidgets.QFileDialog.DontUseNativeDialog } # Query user for filename. filename_tuple = QtWidgets.QFileDialog.getSaveFileName(**kwargs) filename = filename_tuple[0] # User cancelled. if not filename: return # Check/add extension if not os.path.splitext(filename)[1]: ext = filename_tuple[1] if 'Text files' in ext: filename += '.txt' elif 'CanSAS' in ext: filename += '.xml' elif 'NXcanSAS' in ext: filename += '.h5' else: pass #Instantiate a loader loader = Loader() if os.path.splitext(filename)[1].lower() == ".txt": onTXTSave(data, filename) elif os.path.splitext(filename)[1].lower() == ".xml": loader.save(filename, data, ".xml") elif os.path.splitext(filename)[1].lower() == ".h5": nxcansaswriter = NXcanSASWriter() nxcansaswriter.write([data], filename)
[docs]def saveData2D(data): """ Save data2d dialog """ default_name = os.path.basename(data.filename) default_name, _ = os.path.splitext(default_name) ext_format = ".dat" default_name += "_out" + ext_format wildcard = "IGOR/DAT 2D file in Q_map (*.dat);;"\ "NXcanSAS files (*.h5)" kwargs = { 'caption' : 'Save As', 'filter' : wildcard, 'parent' : None, 'options' : QtWidgets.QFileDialog.DontUseNativeDialog } # Query user for filename. filename_tuple = QtWidgets.QFileDialog.getSaveFileName(**kwargs) filename = filename_tuple[0] # User cancelled. if not filename: return # Check/add extension if not os.path.splitext(filename)[1]: ext = filename_tuple[1] if 'IGOR' in ext: filename += '.dat' elif 'NXcanSAS' in ext: filename += '.h5' else: pass #Instantiate a loader loader = Loader() if os.path.splitext(filename)[1].lower() == ext_format: loader.save(filename, data, ext_format) elif os.path.splitext(filename)[1].lower() == ".h5": nxcansaswriter = NXcanSASWriter() nxcansaswriter.write([data], filename)
[docs]class FormulaValidator(QtGui.QValidator): def __init__(self, parent=None): super(FormulaValidator, self).__init__(parent)
[docs] def validate(self, input, pos): self._setStyleSheet("") return QtGui.QValidator.Acceptable, pos
#try: # Formula(str(input)) # self._setStyleSheet("") # return QtGui.QValidator.Acceptable, pos #except Exception as e: # self._setStyleSheet("background-color:pink;") # return QtGui.QValidator.Intermediate, pos def _setStyleSheet(self, value): try: if self.parent(): self.parent().setStyleSheet(value) except: pass
[docs]def xyTransform(data, xLabel="", yLabel=""): """ Transforms x and y in View and set the scale """ # Changing the scale might be incompatible with # currently displayed data (for instance, going # from ln to log when all plotted values have # negative natural logs). # Go linear and only change the scale at the end. xscale = 'linear' yscale = 'linear' # Local data is either 1D or 2D if data.id == 'fit': return # make sure we have some function to operate on if xLabel is None: xLabel = 'log10(x)' if yLabel is None: yLabel = 'log10(y)' # control axis labels from the panel itself yname, yunits = data.get_yaxis() xname, xunits = data.get_xaxis() # Goes through all possible scales # self.x_label is already wrapped with Latex "$", so using the argument # X if xLabel == "x": data.transformX(DataTransform.toX, DataTransform.errToX) xLabel = "%s(%s)" % (xname, xunits) if xLabel == "x^(2)": data.transformX(DataTransform.toX2, DataTransform.errToX2) xunits = convertUnit(2, xunits) xLabel = "%s^{2}(%s)" % (xname, xunits) if xLabel == "x^(4)": data.transformX(DataTransform.toX4, DataTransform.errToX4) xunits = convertUnit(4, xunits) xLabel = "%s^{4}(%s)" % (xname, xunits) if xLabel == "ln(x)": data.transformX(DataTransform.toLogX, DataTransform.errToLogX) xLabel = "\ln{(%s)}(%s)" % (xname, xunits) if xLabel == "log10(x)": data.transformX(DataTransform.toX_pos, DataTransform.errToX_pos) xscale = 'log' xLabel = "%s(%s)" % (xname, xunits) if xLabel == "log10(x^(4))": data.transformX(DataTransform.toX4, DataTransform.errToX4) xunits = convertUnit(4, xunits) xLabel = "%s^{4}(%s)" % (xname, xunits) xscale = 'log' # Y if yLabel == "ln(y)": data.transformY(DataTransform.toLogX, DataTransform.errToLogX) yLabel = "\ln{(%s)}(%s)" % (yname, yunits) if yLabel == "y": data.transformY(DataTransform.toX, DataTransform.errToX) yLabel = "%s(%s)" % (yname, yunits) if yLabel == "log10(y)": data.transformY(DataTransform.toX_pos, DataTransform.errToX_pos) yscale = 'log' yLabel = "%s(%s)" % (yname, yunits) if yLabel == "y^(2)": data.transformY(DataTransform.toX2, DataTransform.errToX2) yunits = convertUnit(2, yunits) yLabel = "%s^{2}(%s)" % (yname, yunits) if yLabel == "1/y": data.transformY(DataTransform.toOneOverX, DataTransform.errOneOverX) yunits = convertUnit(-1, yunits) yLabel = "1/%s(%s)" % (yname, yunits) if yLabel == "y*x^(2)": data.transformY(DataTransform.toYX2, DataTransform.errToYX2) xunits = convertUnit(2, xunits) yLabel = "%s \ \ %s^{2}(%s%s)" % (yname, xname, yunits, xunits) if yLabel == "y*x^(4)": data.transformY(DataTransform.toYX4, DataTransform.errToYX4) xunits = convertUnit(4, xunits) yLabel = "%s \ \ %s^{4}(%s%s)" % (yname, xname, yunits, xunits) if yLabel == "1/sqrt(y)": data.transformY(DataTransform.toOneOverSqrtX, DataTransform.errOneOverSqrtX) yunits = convertUnit(-0.5, yunits) yLabel = "1/\sqrt{%s}(%s)" % (yname, yunits) if yLabel == "ln(y*x)": data.transformY(DataTransform.toLogXY, DataTransform.errToLogXY) yLabel = "\ln{(%s \ \ %s)}(%s%s)" % (yname, xname, yunits, xunits) if yLabel == "ln(y*x^(2))": data.transformY(DataTransform.toLogYX2, DataTransform.errToLogYX2) xunits = convertUnit(2, xunits) yLabel = "\ln (%s \ \ %s^{2})(%s%s)" % (yname, xname, yunits, xunits) if yLabel == "ln(y*x^(4))": data.transformY(DataTransform.toLogYX4, DataTransform.errToLogYX4) xunits = convertUnit(4, xunits) yLabel = "\ln (%s \ \ %s^{4})(%s%s)" % (yname, xname, yunits, xunits) if yLabel == "log10(y*x^(4))": data.transformY(DataTransform.toYX4, DataTransform.errToYX4) xunits = convertUnit(4, xunits) yscale = 'log' yLabel = "%s \ \ %s^{4}(%s%s)" % (yname, xname, yunits, xunits) # Perform the transformation of data in data1d->View data.transformView() return (xLabel, yLabel, xscale, yscale)
[docs]def formatNumber(value, high=False): """ Return a float in a standardized, human-readable formatted string. This is used to output readable (e.g. x.xxxe-y) values to the panel. """ try: value = float(value) except: output = "NaN" return output.lstrip().rstrip() if high: output = "%-7.5g" % value else: output = "%-5.3g" % value return output.lstrip().rstrip()
[docs]def replaceHTMLwithUTF8(html): """ Replace some important HTML-encoded characters with their UTF-8 equivalents """ # Angstrom html_out = html.replace("&#x212B;", "Å") # infinity html_out = html_out.replace("&#x221e;", "∞") # +/- html_out = html_out.replace("&#177;", "±") return html_out
[docs]def replaceHTMLwithASCII(html): """ Replace some important HTML-encoded characters with their ASCII equivalents """ # Angstrom html_out = html.replace("&#x212B;", "Ang") # infinity html_out = html_out.replace("&#x221e;", "inf") # +/- html_out = html_out.replace("&#177;", "+/-") return html_out
[docs]def convertUnitToUTF8(unit): """ Convert ASCII unit display into UTF-8 symbol """ if unit == "1/A": return "Å<sup>-1</sup>" elif unit == "1/cm": return "cm<sup>-1</sup>" elif unit == "Ang": return "Å" elif unit == "1e-6/Ang^2": return "10<sup>-6</sup>/Å<sup>2</sup>" elif unit == "inf": return "∞" elif unit == "-inf": return "-∞" else: return unit
[docs]def convertUnitToHTML(unit): """ Convert ASCII unit display into well rendering HTML """ if unit == "1/A": return "&#x212B;<sup>-1</sup>" elif unit == "1/cm": return "cm<sup>-1</sup>" elif unit == "Ang": return "&#x212B;" elif unit == "1e-6/Ang^2": return "10<sup>-6</sup>/&#x212B;<sup>2</sup>" elif unit == "inf": return "&#x221e;" elif unit == "-inf": return "-&#x221e;" else: return unit
[docs]def parseName(name, expression): """ remove "_" in front of a name """ if re.match(expression, name) is not None: word = re.split(expression, name, 1) for item in word: if item.lstrip().rstrip() != '': return item else: return name
[docs]def toDouble(value_string): """ toFloat conversion which cares deeply about user's locale """ # Holy shit this escalated quickly in Qt5. # No more float() cast on general locales. value = QtCore.QLocale().toFloat(value_string) if value[1]: return value[0] # Try generic locale value = QtCore.QLocale(QtCore.QLocale('en_US')).toFloat(value_string) if value[1]: return value[0] else: raise TypeError
[docs]def findNextFilename(filename, directory): """ Finds the next available (non-existing) name for 'filename' in 'directory'. plugin.py -> plugin (n).py - for first 'n' for which the file doesn't exist """ basename, ext = os.path.splitext(filename) # limit the number of copies MAX_FILENAMES = 1000 # Start with (1) number_ext = 1 proposed_filename = "" found_filename = False # Find the next available filename or exit if too many copies while not found_filename or number_ext > MAX_FILENAMES: proposed_filename = basename + " ("+str(number_ext)+")" + ext if os.path.exists(os.path.join(directory, proposed_filename)): number_ext += 1 else: found_filename = True return proposed_filename
[docs]class DoubleValidator(QtGui.QDoubleValidator): """ Allow only dots as decimal separator """
[docs] def validate(self, input, pos): """ Return invalid for commas """ if input is not None and ',' in input: return (QtGui.QValidator.Invalid, input, pos) return super(DoubleValidator, self).validate(input, pos)
[docs] def fixup(self, input): """ Correct (remove) potential preexisting content """ super(DoubleValidator, self).fixup(input) input = input.replace(",", "")
[docs]def checkModel(path): """ Check that the model save in file 'path' can run. """ # The following return needs to be removed once # the unittest related changes in Sasmodels are commited # return True # try running the model from sasmodels.sasview_model import load_custom_model Model = load_custom_model(path) model = Model() q = np.array([0.01, 0.1]) _ = model.evalDistribution(q) qx, qy = np.array([0.01, 0.01]), np.array([0.1, 0.1]) _ = model.evalDistribution([qx, qy]) # check the model's unit tests run from sasmodels.model_test import run_one # TestSuite module in Qt5 now deletes tests in the suite after running, # so suite[0] in run_one() in sasmodels/model_test.py will contain [None] and # test.info.tests will raise. # Not sure how to change the behaviour here, most likely sasmodels will have to # be modified result = run_one(path) return result
[docs]def saveData(fp, data): """ save content of data to fp (a .write()-supporting file-like object) """ def add_type(dict, type): dict['__type__'] = type.__name__ return dict def jdefault(o): """ objects that can't otherwise be serialized need to be converted """ # tuples and sets (TODO: default JSONEncoder converts tuples to lists, create custom Encoder that preserves tuples) if isinstance(o, (tuple, set, np.float)): content = { 'data': list(o) } return add_type(content, type(o)) # "simple" types if isinstance(o, (Sample, Source, Vector, FResult)): return add_type(o.__dict__, type(o)) # detector if isinstance(o, (Detector, Process, TransmissionSpectrum, Aperture, Collimation)): return add_type(o.__dict__, type(o)) if isinstance(o, (Plottable, View)): return add_type(o.__dict__, type(o)) # SasviewModel - unique if isinstance(o, SasviewModel): # don't store parent content = o.__dict__.copy() return add_type(content, SasviewModel) # DataState if isinstance(o, (Data1D, Data2D, FitData1D, FitData2D)): # don't store parent content = o.__dict__.copy() return add_type(content, type(o)) # ndarray if isinstance(o, np.ndarray): content = {'data':o.tolist()} return add_type(content, type(o)) if isinstance(o, types.FunctionType): # we have a pure function content = o.__dict__.copy() return add_type(content, type(o)) # not supported logging.info("data cannot be serialized to json: %s" % type(o)) return None json.dump(data, fp, indent=2, sort_keys=True, default=jdefault)
[docs]def readDataFromFile(fp): ''' Reads in Data1D/Data2 datasets from the file. Datasets are stored in the JSON format. ''' supported = [ tuple, set, types.FunctionType, Sample, Source, Vector, Plottable, Data1D, Data2D, PlottableTheory1D, PlottableFit1D, Text, Chisq, View, Detector, Process, TransmissionSpectrum, Collimation, Aperture, DataState, np.ndarray, FResult, FitData1D, FitData2D, SasviewModel] lookup = dict((cls.__name__, cls) for cls in supported) class TooComplexException(Exception): pass def simple_type(cls, data, level): class Empty(object): def __init__(self): for key, value in data.items(): setattr(self, key, generate(value, level)) # create target object o = Empty() o.__class__ = cls return o def construct(type, data, level): try: cls = lookup[type] except KeyError: logging.info('unknown type: %s' % type) return None # tuples and sets if cls in (tuple, set): # convert list to tuple/set return cls(generate(data['data'], level)) # "simple" types if cls in (Sample, Source, Vector, FResult, FitData1D, FitData2D, SasviewModel, Detector, Process, TransmissionSpectrum, Collimation, Aperture): return simple_type(cls, data, level) if issubclass(cls, Plottable) or (cls == View): return simple_type(cls, data, level) # DataState if cls == DataState: o = simple_type(cls, data, level) o.parent = None # TODO: set to ??? return o # ndarray if cls == np.ndarray: o = data['data'] if isinstance(o, list): # new format - ndarray as ascii list return np.array(o) else: # pre-5.0-release format - binary ndarray buffer = BytesIO() buffer.write(data['data'].encode('latin-1')) buffer.seek(0) return np.load(buffer) # function if cls == types.FunctionType: return cls logging.info('not implemented: %s, %s' % (type, cls)) return None def generate(data, level): if level > 16: # recursion limit (arbitrary number) raise TooComplexException() else: level += 1 if isinstance(data, dict): try: type = data['__type__'] except KeyError: # if dictionary doesn't have __type__ then it is assumed to be just an ordinary dictionary o = {} for key, value in data.items(): o[key] = generate(value, level) return o return construct(type, data, level) if isinstance(data, list): return [generate(item, level) for item in data] return data new_stored_data = {} for id, data in json.load(fp).items(): try: new_stored_data[id] = generate(data, 0) except TooComplexException: logging.info('unable to load %s' % id) return new_stored_data
[docs]def getConstraints(fit_project): """ Extracts constraints from *fir_project* dict and returns a dict where keys are the tab name and values are a list of constraints on that tab. The dict can then be passed to the updateFromConstraints method from the fitting perspective to apply the constraints with error checking mechanism """ constraint_dict = {} for key, value in fit_project.items(): # make sure we dealing with params if 'fit_params' not in value: continue params = value['fit_params'] for page in params: if not isinstance(page, dict): continue tab_name = None constraint_list = [] for param_name, param_value in page.items(): # make sure we are dealing with lists if not isinstance(param_value, list): continue # get the tab name elif param_name == "tab_name": tab_name = param_value[0] # get parameters elif len(param_value) >= 5: ioffset = 1 if len(param_value) > 5 else 0 cons = param_value[4+ioffset] # get the constraint if cons is not None and len(cons) == 5: constraint_list.append(cons) else: continue if tab_name and constraint_list: constraint_dict.update({tab_name: constraint_list}) return constraint_dict
[docs]def readProjectFromSVS(filepath): """ Read old SVS file and convert to the project dictionary """ from sas.sascalc.dataloader.readers.cansas_reader import Reader as CansasReader from sas.sascalc.fit.pagestate import Reader loader = Loader() loader.associate_file_reader('.svs', Reader) temp = loader.load(filepath) # CRUFT: SasView 4.x uses a callback interface to register bits of state state_svs = [] def collector(state=None, datainfo=None, format=None): if state is not None: state_svs.append(state) state_reader = Reader(call_back=collector) data_svs = state_reader.read(filepath) if isinstance(temp, list) and isinstance(state_svs, list): output = list(zip(temp, state_svs)) else: output = [(temp, state_svs)] return output
[docs]def convertFromSVS(datasets): """ Read in properties from SVS and convert into a simple dict """ content = {} for dataset in datasets: # we already have data - interested only in properties #[[item_1, state_1], [item_2, state_2],...] data = dataset[0] params = dataset[1] content[params.data_id] = {} content[params.data_id]['fit_data'] = [data, {'checked': 2}, []] param_dict = {} param_dict['fitpage_category'] = [params.categorycombobox] param_dict['fitpage_model'] = [params.formfactorcombobox] param_dict['fitpage_structure'] = [params.structurecombobox] param_dict['2D_params'] = [str(params.is_2D)] param_dict['chainfit_params'] = ["False"] param_dict['data_id'] = [params.data_id] param_dict['data_name'] = [params.data_name] param_dict['is_data'] = [str(params.is_data)] param_dict['magnetic_params'] = [str(params.magnetic_on)] param_dict['model_name'] = [params.formfactorcombobox] param_dict['polydisperse_params'] = [str(params.enable_disp)] param_dict['q_range_max'] = [str(params.qmax)] param_dict['q_range_min'] = [str(params.qmin)] # Smearing is a bit trickier. 4.x has multiple keywords, # one for each combobox option if params.enable_smearer: if params.slit_smearer: w = 1 elif params.pinhole_smearer: w = 2 else: w = 0 param_dict['smearing'] = [str(w)] # weighting is also tricky. 4.x has multiple keywords, # one for each radio box. if params.dI_noweight: w = 2 elif params.dI_didata: w = 3 elif params.dI_sqrdata: w = 4 elif params.dI_idata: w = 5 else: w = 2 param_dict['weighting'] = [str(w)] # 4.x multi_factor is really the multiplicity if params.multi_factor is not None: param_dict['multiplicity'] = [str(int(params.multi_factor))] # playing with titles data.filename = params.file data.title = params.data_name data.name = params.data_name # main parameters for p in params.parameters: p_name = p[1] param_dict[p_name] = [str(p[0]), str(p[2]), None, str(p[5][1]), str(p[6][1]), []] # orientation parameters if params.is_2D: for p in params.orientation_params: p_name = p[1] p_min = "-360.0" p_max = "360.0" if p[5][1] != "": p_min = p[5][1] if p[6][1] != "": p_max = p[6][1] param_dict[p_name] = [str(p[0]), str(p[2]), None, p_min, p_max, []] # disperse parameters if params.enable_disp: for p in params.fittable_param: p_name = p[1] p_opt = str(p[0]) p_err = "0" p_width = str(p[2]) p_min = str(0) p_max = "inf" param_npts = p_name.replace('.width','.npts') param_nsigmas = p_name.replace('.width', '.nsigmas') if params.is_2D and p_name in params.disp_obj_dict: lookup = params.orientation_params_disp p_min = "-360.0" p_max = "360.0" else: lookup = params.fixed_param p_npts = [s[2] for s in lookup if s[1] == param_npts][0] p_nsigmas = [s[2] for s in lookup if s[1] == param_nsigmas][0] if p_name in params.disp_obj_dict: p_disp = params.disp_obj_dict[p_name] else: p_disp = "gaussian" param_dict[p_name] = [p_opt, p_width, p_min, p_max, p_npts, p_nsigmas, p_disp] param_dict['is_batch_fitting'] = ['False'] content[params.data_id]['fit_params'] = param_dict return content
[docs]def enum(*sequential, **named): """Create an enumeration object from a list of strings""" enums = dict(zip(sequential, range(len(sequential))), **named) return type('Enum', (), enums)