source: sasview/src/sas/sascalc/dataloader/file_reader_base_class.py @ ad92c5a

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since ad92c5a was ad92c5a, checked in by krzywon, 7 years ago

ABS reader converted to new system.

  • Property mode set to 100644
File size: 6.3 KB
Line 
1"""
2This is the base file reader class most file readers should inherit from.
3All generic functionality required for a file loader/reader is built into this
4class
5"""
6
7import os
8import logging
9import numpy as np
10from abc import abstractmethod
11from loader_exceptions import NoKnownLoaderException, FileContentsException,\
12    DataReaderException, DefaultReaderException
13from data_info import Data1D, Data2D, DataInfo, plottable_1D, plottable_2D,\
14    combine_data_info_with_plottable
15
16logger = logging.getLogger(__name__)
17
18
19class FileReader(object):
20    # List of Data1D and Data2D objects to be sent back to data_loader
21    output = []
22    # Current plottable_(1D/2D) object being loaded in
23    current_dataset = None
24    # Current DataInfo object being loaded in
25    current_datainfo = None
26    # String to describe the type of data this reader can load
27    type_name = "ASCII"
28    # Wildcards to display
29    type = ["Text files (*.txt|*.TXT)"]
30    # List of allowed extensions
31    ext = ['.txt']
32    # Bypass extension check and try to load anyway
33    allow_all = False
34    # Able to import the unit converter
35    has_converter = True
36    # Open file handle
37    f_open = None
38    # Default value of zero
39    _ZERO = 1e-16
40
41    def read(self, filepath):
42        """
43        Basic file reader
44       
45        :param filepath: The full or relative path to a file to be loaded
46        """
47        if os.path.isfile(filepath):
48            basename, extension = os.path.splitext(os.path.basename(filepath))
49            self.extension = extension.lower()
50            # If the file type is not allowed, return nothing
51            if self.extension in self.ext or self.allow_all:
52                # Try to load the file, but raise an error if unable to.
53                try:
54                    self.f_open = open(filepath, 'rb')
55                    self.get_file_contents()
56                    self.sort_one_d_data()
57                except FileContentsException as e:
58                    self.handle_error_message(e.message)
59                except OSError as e:
60                    # If the file cannot be opened
61                    msg = "Unable to open file: {}\n".format(filepath)
62                    msg += e.message
63                    self.handle_error_message(msg)
64                finally:
65                    # Close the file handle if it is open
66                    if not self.f_open.closed:
67                        self.f_open.close()
68        else:
69            msg = "Unable to find file at: {}\n".format(filepath)
70            msg += "Please check your file path and try again."
71            self.handle_error_message(msg)
72        # Return a list of parsed entries that data_loader can manage
73        return self.output
74
75    def handle_error_message(self, msg):
76        """
77        Generic error handler to add an error to the current datainfo to
78        propogate the error up the error chain.
79        :param msg: Error message
80        """
81        if isinstance(self.current_datainfo, DataInfo):
82            self.current_datainfo.errors.append(msg)
83        else:
84            logger.warning(msg)
85
86    def send_to_output(self):
87        """
88        Helper that automatically combines the info and set and then appends it
89        to output
90        """
91        data_obj = combine_data_info_with_plottable(self.current_dataset,
92                                                    self.current_datainfo)
93        self.output.append(data_obj)
94
95    def sort_one_d_data(self):
96        """
97        Sort 1D data along the X axis for consistency
98        """
99        final_list = []
100        for data in self.output:
101            if isinstance(data, Data1D):
102                ind = np.lexsort((data.y, data.x))
103                data.x = np.asarray([data.x[i] for i in ind])
104                data.y = np.asarray([data.y[i] for i in ind])
105                if data.dx is not None:
106                    data.dx = np.asarray([data.dx[i] for i in ind])
107                if data.dxl is not None:
108                    data.dxl = np.asarray([data.dxl[i] for i in ind])
109                if data.dxw is not None:
110                    data.dxw = np.asarray([data.dxw[i] for i in ind])
111                if data.dy is not None:
112                    data.dy = np.asarray([data.dy[i] for i in ind])
113                if data.lam is not None:
114                    data.lam = np.asarray([data.lam[i] for i in ind])
115                if data.dlam is not None:
116                    data.dlam = np.asarray([data.dlam[i] for i in ind])
117            final_list.append(data)
118        self.output = final_list
119
120    def set_all_to_none(self):
121        """
122        Set all mutable values to None for error handling purposes
123        """
124        self.current_dataset = None
125        self.current_datainfo = None
126        self.output = []
127
128    def remove_empty_q_values(self, has_error_dx=False, has_error_dy=False):
129        """
130        Remove any point where Q == 0
131        """
132        x = self.current_dataset.x
133        self.current_dataset.x = self.current_dataset.x[x != 0]
134        self.current_dataset.y = self.current_dataset.y[x != 0]
135        self.current_dataset.dy = self.current_dataset.dy[x != 0] if \
136            has_error_dy else np.zeros(len(self.current_dataset.y))
137        self.current_dataset.dx = self.current_dataset.dx[x != 0] if \
138            has_error_dx else np.zeros(len(self.current_dataset.x))
139
140    def reset_data_list(self, no_lines=0):
141        """
142        Reset the plottable_1D object
143        """
144        # Initialize data sets with arrays the maximum possible size
145        x = np.zeros(no_lines)
146        y = np.zeros(no_lines)
147        dy = np.zeros(no_lines)
148        dx = np.zeros(no_lines)
149        self.current_dataset = plottable_1D(x, y, dx, dy)
150
151    @staticmethod
152    def splitline(line):
153        """
154        Splits a line into pieces based on common delimeters
155        :param line: A single line of text
156        :return: list of values
157        """
158        # Initial try for CSV (split on ,)
159        toks = line.split(',')
160        # Now try SCSV (split on ;)
161        if len(toks) < 2:
162            toks = line.split(';')
163        # Now go for whitespace
164        if len(toks) < 2:
165            toks = line.split()
166        return toks
167
168    @abstractmethod
169    def get_file_contents(self):
170        """
171        Reader specific class to access the contents of the file
172        All reader classes that inherit from FileReader must implement
173        """
174        pass
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