source: sasview/src/sas/sascalc/dataloader/readers/anton_paar_saxs_reader.py @ 3d164b9

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since 3d164b9 was 80c5d46, checked in by krzywon, 8 years ago

Ticket #500: Start of a SAXSess reader. Loads in ASCII data. Next step - XML meta data.

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File size: 4.5 KB
Line 
1"""
2    CanSAS 2D data reader for reading HDF5 formatted CanSAS files.
3"""
4
5import numpy as np
6import re
7import os
8import sys
9
10from sas.sascalc.dataloader.readers.xml_reader import XMLreader
11from sas.sascalc.dataloader.data_info import plottable_1D, Data1D, Sample, Source
12from sas.sascalc.dataloader.data_info import Process, Aperture, Collimation, TransmissionSpectrum, Detector
13
14
15class Reader(XMLreader):
16    """
17    A class for reading in CanSAS v2.0 data files. The existing iteration opens Mantid generated HDF5 formatted files
18    with file extension .h5/.H5. Any number of data sets may be present within the file and any dimensionality of data
19    may be used. Currently 1D and 2D SAS data sets are supported, but future implementations will include 1D and 2D
20    SESANS data. This class assumes a single data set for each sasentry.
21
22    :Dependencies:
23        The CanSAS HDF5 reader requires h5py v2.5.0 or later.
24    """
25
26    ## Logged warnings or messages
27    logging = None
28    ## List of errors for the current data set
29    errors = None
30    ## Raw file contents to be processed
31    raw_data = None
32    ## Data set being modified
33    current_dataset = None
34    ## For recursion and saving purposes, remember parent objects
35    parent_list = None
36    ## Data type name
37    type_name = "Anton Paar SAXSess"
38    ## Wildcards
39    type = ["Anton Paar SAXSess Files (*.pdh)|*.pdh"]
40    ## List of allowed extensions
41    ext = ['.pdh', '.PDH']
42    ## Flag to bypass extension check
43    allow_all = False
44    ## List of files to return
45    output = None
46
47    def __init__(self):
48        self.current_dataset = Data1D(np.empty(0), np.empty(0),
49                                            np.empty(0), np.empty(0))
50        self.datasets = []
51        self.raw_data = None
52        self.errors = set()
53        self.logging = []
54        self.output = []
55        self.detector = Detector()
56        self.collimation = Collimation()
57        self.aperture = Aperture()
58        self.process = Process()
59        self.source = Source()
60        self.sample = Sample()
61        self.trans_spectrum = TransmissionSpectrum()
62        self.upper = 5
63        self.lower = 5
64
65    def read(self, filename):
66        """
67            This is the general read method that all SasView data_loaders must have.
68
69            :param filename: A path for an XML formatted Anton Paar SAXSess data file.
70            :return: List of Data1D objects or a list of errors.
71            """
72
73        ## Reinitialize the class when loading a new data file to reset all class variables
74        self.__init__()
75        ## Check that the file exists
76        if os.path.isfile(filename):
77            basename = os.path.basename(filename)
78            _, extension = os.path.splitext(basename)
79            # If the file type is not allowed, return empty list
80            if extension in self.ext or self.allow_all:
81                ## Load the data file
82                input_f = open(filename, 'r')
83                buff = input_f.read()
84                self.raw_data = buff.splitlines()
85                self.read_data()
86                xml_intermediate = self.raw_data[self.upper:]
87                xml = ''.join(xml_intermediate)
88                self.set_xml_file(xml)
89        return self.output
90
91    def read_data(self):
92        q_unit = "1/nm"
93        i_unit = "1/um^2"
94        self.current_dataset.title = self.raw_data[0]
95        self.current_dataset.meta_data["Keywords"] = self.raw_data[1]
96        line3 = self.raw_data[2].split()
97        line4 = self.raw_data[3].split()
98        line5 = self.raw_data[4].split()
99        self.data_points = int(line3[0])
100        self.lower = 5
101        self.upper = self.lower + self.data_points
102        self.detector.distance = float(line4[1])
103        self.current_dataset.source.radiation = "x-ray"
104        self.current_dataset.source.name = "Anton Paar SAXSess Instrument"
105        self.current_dataset.source.wavelength = float(line4[4])
106        normal = line4[3]
107        for i in range(self.lower, self.upper):
108            data = self.raw_data[i].split()
109            x_val = [float(data[0])]
110            y_val = [float(data[1])]
111            dy_val = [float(data[2])]
112            self.current_dataset.x = np.append(self.current_dataset.x, x_val)
113            self.current_dataset.y = np.append(self.current_dataset.y, y_val)
114            self.current_dataset.dy = np.append(self.current_dataset.dy, dy_val)
115        self.current_dataset.xaxis("Q (%s)" % (q_unit), q_unit)
116        self.current_dataset.yaxis("Intensity (%s)" % (i_unit), i_unit)
117        self.current_dataset.detector.append(self.detector)
118        self.output.append(self.current_dataset)
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