# -*- 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
plotFromFilenameSignal = 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.Checked)
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 itemFromFilename(filename, model_item):
"""
Returns the model item text=filename in the model
"""
assert isinstance(model_item, QtGui.QStandardItemModel)
assert isinstance(filename, 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()) == filename])
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 plotsFromFilename(filename, model_item):
"""
Returns the list of plots for the item with text=filename in the model
"""
assert isinstance(model_item, QtGui.QStandardItemModel)
assert isinstance(filename, str)
plot_data = {}
# Iterate over model looking for named items
for index in range(model_item.rowCount()):
item = model_item.item(index)
if filename 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 openLink(url):
"""
Open a URL in an external browser.
Check the URL first, though.
"""
parsed_url = urllib.parse.urlparse(url)
if parsed_url.scheme:
webbrowser.open(url)
else:
msg = "Attempt at opening an invalid URL"
raise AttributeError(msg)
[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]def replaceHTMLwithUTF8(html):
"""
Replace some important HTML-encoded characters
with their UTF-8 equivalents
"""
# Angstrom
html_out = html.replace("Å", "Ã…")
# infinity
html_out = html_out.replace("∞", "∞")
# +/-
html_out = html_out.replace("±", "±")
return html_out
[docs]def replaceHTMLwithASCII(html):
"""
Replace some important HTML-encoded characters
with their ASCII equivalents
"""
# Angstrom
html_out = html.replace("Å", "Ang")
# infinity
html_out = html_out.replace("∞", "inf")
# +/-
html_out = html_out.replace("±", "+/-")
return html_out
[docs]def convertUnitToUTF8(unit):
"""
Convert ASCII unit display into UTF-8 symbol
"""
if unit == "1/A":
return "Ã…<sup>-1</sup>"
elif unit == "1/cm":
return "cm<sup>-1</sup>"
elif unit == "Ang":
return "Ã…"
elif unit == "1e-6/Ang^2":
return "10<sup>-6</sup>/Ã…<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 "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 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)):
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 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)