source: sasview/DataLoader/readers/hfir1d_reader.py @ 19403da

"""
This software was developed by the University of Tennessee as part of the
Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
project funded by the US National Science Foundation. 

See the license text in license.txt

copyright 2008, University of Tennessee
"""

import numpy
import os
from DataLoader.data_info import Data1D

# Check whether we have a converter available
has_converter = True
try:
    from data_util.nxsunit import Converter
except:
    has_converter = False

class Reader(object):
    """
        Class to load HFIR 1D 4-column files
    """
    ## File type
    type_name = "HFIR 1D"   
    ## Wildcards
    type = ["HFIR 1D files (*.d1d)|*.d1d"]
    ## List of allowed extensions
    ext=['.d1d']  
    
    def read(self, path):
        """ 
            Load data file
            
            @param path: file path
            @return: Data1D object, or None
            @raise RuntimeError: when the file can't be opened
            @raise ValueError: when the length of the data vectors are inconsistent
        """
        if os.path.isfile(path):
            basename  = os.path.basename(path)
            root, extension = os.path.splitext(basename)
            if extension.lower() in self.ext:
                try:
                    input_f =  open(path,'r')
                except :
                    raise  RuntimeError, "hfir1d_reader: cannot open %s" % path
                buff = input_f.read()
                lines = buff.split('\n')
                x  = numpy.zeros(0)
                y  = numpy.zeros(0)
                dx = numpy.zeros(0)
                dy = numpy.zeros(0)
                output = Data1D(x, y, dx=dx, dy=dy)
                self.filename = output.filename = basename
           
                data_conv_q = None
                data_conv_i = None
                
                if has_converter == True and output.x_unit != '1/A':
                    data_conv_q = Converter('1/A')
                    # Test it
                    data_conv_q(1.0, output.x_unit)
                    
                if has_converter == True and output.y_unit != '1/cm':
                    data_conv_i = Converter('1/cm')
                    # Test it
                    data_conv_i(1.0, output.y_unit)
                           
                for line in lines:
                    toks = line.split()
                    try:
                        _x = float(toks[0])
                        _y = float(toks[1])
                        _dx = float(toks[3])
                        _dy = float(toks[2])
                        
                        if data_conv_q is not None:
                            _x = data_conv_q(_x, units=output.x_unit)
                            _dx = data_conv_q(_dx, units=output.x_unit)
                            
                        if data_conv_i is not None:
                            _y = data_conv_i(_y, units=output.y_unit)                        
                            _dy = data_conv_i(_dy, units=output.y_unit)                        
                                                    

                        x   = numpy.append(x, _x) 
                        y   = numpy.append(y, _y)
                        dx  = numpy.append(dx, _dx)
                        dy  = numpy.append(dy, _dy)                        
                    except:
                        # Couldn't parse this line, skip it 
                        pass
                         
                     
                # Sanity check
                if not len(y) == len(dy):
                    raise RuntimeError, "hfir1d_reader: y and dy have different length"
                if not len(x) == len(dx):
                    raise RuntimeError, "hfir1d_reader: x and dx have different length"

                # If the data length is zero, consider this as
                # though we were not able to read the file.
                if len(x)==0:
                    raise RuntimeError, "hfir1d_reader: could not load file"
               
                output.x = x
                output.y = y
                output.dy = dy
                output.dx = dx
                if data_conv_q is not None:
                    output.xaxis("\\rm{Q}", output.x_unit)
                else:
                    output.xaxis("\\rm{Q}", 'A^{-1}')
                if data_conv_i is not None:
                    output.yaxis("\\rm{Intensity}", output.y_unit)
                else:
                    output.yaxis("\\rm{Intensity}","cm^{-1}")
                
                # Store loading process information
                output.meta_data['loader'] = self.type_name   
                return output
        else:
            raise RuntimeError, "%s is not a file" % path
        return None
    
if __name__ == "__main__": 
    reader = Reader()
    print reader.read("../test/S2-30dq.d1d")