UpdatePeakParameterTableValue.py

# Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
#   NScD Oak Ridge National Laboratory, European Spallation Source,
#   Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
#pylint: disable=no-init,invalid-name,redefined-builtin
import mantid
import mantid.api
import mantid.kernel
import mantid.simpleapi


class UpdatePeakParameterTableValue(mantid.api.PythonAlgorithm):
    """ Class to generate grouping file
    """

    tableColNames = None
    parameternames = None

    def category(self):
        """ Mantid required
        """
        return "Inelastic\\Utility;Transforms\\Grouping"

    def name(self):
        """ Mantid require
        """
        return "UpdatePeakParameterTableValue"

    def summary(self):
        return "Update cell value(s) in a TableWorkspace containing instrument peak profile parameters."

    def PyInit(self):
        """ Property definition
        """
        tableprop = mantid.api.ITableWorkspaceProperty("InputWorkspace", "", mantid.kernel.Direction.InOut)
        self.declareProperty(tableprop, "TableWorkspace containing peak profile parameters")

        colchoices = ["Value", "FitOrTie", "Min", "Max", "StepSize"]
        self.declareProperty("Column", "Value", mantid.kernel.StringListValidator(colchoices),
                             "Column name of the cell to have value updated.  Choices include 'FitOrTie', "
                             + "'Max', 'Min', 'StepSize' and 'Value'")

        rowprop = mantid.kernel.IntArrayProperty("Rows", [])
        self.declareProperty(rowprop, "List of row numbers of the cell to have value updated")

        parnameprop = mantid.kernel.StringArrayProperty("ParameterNames", [])
        self.declareProperty(parnameprop, "List of names of parameters that will have their values updated")

        self.declareProperty("NewFloatValue", 0.0, "New value for the specified cell of type 'float'.")

        self.declareProperty("NewStringValue", "", "New value for the specified cell of type 'string'.")

        return

    def PyExec(self):
        """ Main Execution Body
        """
        # 1. Process input parameter TableWorkspace
        tableWS = self.getProperty("InputWorkspace").value
        result = self.parseTableWorkspace(tableWS)
        paramnamedict = result[0]
        colnamedict = result[1]

        # 2. Process input row (to change) information
        rownumberlist = list(self.getProperty("Rows").value)
        parameterlist = self.getProperty("ParameterNames").value
        for parametername in parameterlist:
            rows = self.convertParameterNameToTableRows(parametername, paramnamedict)
            rownumberlist.extend(rows)
        # ENDFOR

        if len(rownumberlist) > 1:
            rownumberlist = sorted(rownumberlist)
        elif len(rownumberlist) == 0:
            # if no input row number/parameter name, set the value to all rows
            numrows = tableWS.rowCount()
            rownumberlist = list(range(0, numrows))
        # ENDIF
        # for irow in rownumberlist:
        #     print "Update value on row %d" % (irow)

        # 3. Process column (to change) information
        colname = self.getProperty("Column").value
        if colname in colnamedict:
            icolumn = colnamedict[colname]
        else:
            raise NotImplementedError("Column name %s does not exist in TableWorkspace %s"
                                      % (colname, tableWS.name()))

        # 3. Set value
        if colname in ["FitOrTie", "Name"]:
            # string value
            value = self.getProperty("NewStringValue").value.lower()
        else:
            # float value
            value = self.getProperty("NewFloatValue").value

        # print "Input Value = %s.  Type = %s" % (str(value), type(value))

        for irow in rownumberlist:
            irow = int(irow)
            if irow >= 0:
                tableWS.setCell(irow, icolumn, value)

        # 4.
        self.setProperty("InputWorkspace", tableWS)

        return

    def convertParameterNameToTableRows(self, parametername, paramnamedict):
        """ Convert parameter name (incomplete might be) to row number(s)
        An algorithm to recognize parameter with blurred definition will be use such as
        (1) exactly same and case insensitive;
        (2) *partialname
        (3) partialname*
        (4) *partialname*
        (5) partialname?

        Argument:
         - parametername:  parameter name to change value
         - paramnamedict:  dictionary key = parameter name, value = row number in table workspace

        Return: List of row numbers (integer), a negative value might exit to represent a non-existing parameter name
        """
        rownumbers= []

        # 1. make case insensitive
        parnametofit = parametername.lower()

        for parname in self.parameternames:
            parname_low = parname.lower()

            ismatch = False

            if parname_low == parnametofit:
                # exactly match
                ismatch = True

            elif parnametofit.startswith("*") and parnametofit.endswith("*"):
                # *XXXX*
                corestr = parnametofit.split("*")[1]
                if parname_low.count(corestr) >= 1:
                    ismatch = True

            elif parnametofit.startswith("*"):
                # *NNNNN
                corestr = parnametofit.split("*")[1]
                if parname_low.endswith(parnametofit):
                    ismatch = True
                    self.parametersToFit.append(corestr)

            elif parnametofit.endswith("*"):
                # NNNNN*
                corestr = parnametofit.split("*")[0]
                if parname_low.startswith(corestr):
                    ismatch = True

            elif parnametofit.endswith("?"):
                # NNNNN?
                corestr = parnametofit.split("?")[0]
                if parname_low.startswith(corestr) and len(parname_low) == len(parnametofit):
                    ismatch = True
                # ENDIFELSE

            if ismatch is True:
                rownumber = paramnamedict[parname]
                rownumbers.append(rownumber)
        # ENDFOR:

        # 2. Take in the case that there is no match
        if len(rownumbers) == 0:
            # No Match
            mantid.logger.warning("Warning! There is no match for parameter %s" % (parnametofit))
            rownumbers.append(-1000)
        # ENDIFELSE

        return rownumbers

    def parseTableWorkspace(self, tablews):
        """ Get information from table workspace

        Return:  dictionary, key = row number, value = name
        """
        parameterdict = {}

        # 1. Column name information
        colnames = tablews.getColumnNames()
        self.tableColNames = colnames
        colnamedict = {}
        for ic in range( len(colnames) ):
            colnamedict[colnames[ic]] = ic

        # 2. Check validity of workspace
        if len(colnames) < 2:
            raise NotImplementedError("Input table workspace is not supported due to column size.")
        if colnames[0] != "Name" or colnames[1] != "Value":
            raise NotImplementedError("Input table workspace is not supported due to column name.")

        # 3. Parse!
        parnamedict = {}
        self.parameternames = []

        numrows = tablews.rowCount()
        for irow in range(numrows):
            parname = tablews.cell(irow, 0)
            parname = parname.lower().strip()
            parnamedict[parname] = irow
            self.parameternames.append(parname)

            # NEW! Collect each variable in
            valuelist = []
            for icol in range(len(colnames)):
                value = tablews.cell(irow, icol)
                valuelist.append(value)
                parameterdict[parname] = valuelist
            # ENDFOR

        # ENDFOR

        return (parnamedict, colnamedict, parameterdict)


# ENDCLASS
mantid.api.AlgorithmFactory.subscribe(UpdatePeakParameterTableValue)