File: data_formats.py

package info (click to toggle)
python-pyface 8.0.0-5
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 13,944 kB
  • sloc: python: 54,107; makefile: 82
file content (290 lines) | stat: -rw-r--r-- 7,551 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
# (C) Copyright 2005-2023 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!
import csv
from functools import partial
from io import BytesIO, StringIO
import os
import json

from pyface.data_view.i_data_wrapper import DataFormat, text_format


# Scalar formats

def to_json(data, default=None):
    """ Serialize an object to a JSON bytestring.

    Parameters
    ----------
    data : Any
        The data to be serialized.
    default : Callable or None
        Callable that takes a Python object and returns a JSON-serializable
        data structure.

    Returns
    -------
    raw_data : bytes
        The serialized data as a bytestring.
    """
    str_data = json.dumps(data, default=default, separators=(',', ':'))
    return str_data.encode('utf-8')


def from_json(raw_data, object_hook=None):
    """ Deserialize a JSON bytestring.

    Parameters
    ----------
    raw_data : bytes
        The serialized JSON data as a byte string.
    object_hook : Callable
        Callable that takes a dictionary and returns an corresponding
        Python object.

    Returns
    -------
    data : Any
        The data extracted.
    """
    return json.loads(raw_data.decode('utf-8'), object_hook=object_hook)


#: The text/plain format with utf-8 encoding.
standard_text_format = text_format()

#: The text/html format with utf-8 encoding.
html_format = text_format(mimetype='text/html')

#: A generic JSON format.
json_format = DataFormat('application/json', to_json, from_json)


# 1D formats

def to_csv_row(data, delimiter=',', encoding='utf-8', **kwargs):
    """ Serialize a list to a single-row CSV bytestring.

    Parameters
    ----------
    data : list
        The list to be serialized.  Any elements which are not strings will
        be converted to strings by calling ``str()``.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.writer.

    Returns
    -------
    raw_data : bytes
        The serialized data as a bytestring.
    """
    fp = StringIO()
    writer = csv.writer(fp, delimiter=delimiter, **kwargs)
    writer.writerow(data)
    return fp.getvalue().encode(encoding)


def from_csv_row(raw_data, delimiter=',', encoding='utf-8', **kwargs):
    """ Deserialize the first row of a CSV bytestring as a list.

    Any rows beyond the first are ignored.

    Parameters
    ----------
    raw_data : bytes
        The serialized CSV data as a byte string.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.reader.

    Returns
    -------
    data : list of str
        The data extracted as a list of strings.
    """
    fp = StringIO(raw_data.decode(encoding))
    reader = csv.reader(fp, delimiter=delimiter, **kwargs)
    return next(reader)


def to_csv_column(data, delimiter=',', encoding='utf-8', **kwargs):
    """ Serialize a list to a single-column CSV bytestring.

    Parameters
    ----------
    data : list
        The list to be serialized.  Any elements which are not strings will
        be converted to strings by calling ``str()``.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.writer.

    Returns
    -------
    raw_data : bytes
        The serialized data as a bytestring.
    """
    fp = StringIO()
    writer = csv.writer(fp, delimiter=delimiter, **kwargs)
    for row in data:
        writer.writerow([row])
    return fp.getvalue().encode(encoding)


def from_csv_column(raw_data, delimiter=',', encoding='utf-8', **kwargs):
    """ Deserialize the first column of a CSV bytestring as a list.

    Any columns beyond the first are ignored.

    Parameters
    ----------
    raw_data : bytes
        The serialized CSV data as a byte string.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.reader.

    Returns
    -------
    data : list of str
        The data extracted as a list of strings.
    """
    fp = StringIO(raw_data.decode(encoding))
    reader = csv.reader(fp, delimiter=delimiter, **kwargs)
    return [row[0] for row in reader]


text_row_format = DataFormat(
    'text/plain',
    partial(to_csv_row, delimiter='\t', lineterminator=os.linesep),
    partial(from_csv_row, delimiter='\t'),
)
csv_row_format = DataFormat('text/csv', to_csv_row, from_csv_row)
text_column_format = DataFormat(
    'text/plain',
    partial(to_csv_column, delimiter='\t', lineterminator=os.linesep),
    partial(from_csv_column, delimiter='\t'),
)
csv_column_format = DataFormat('text/csv', to_csv_column, from_csv_column)


# 2D formats

def to_csv(data, delimiter=',', encoding='utf-8', **kwargs):
    """ Serialize a list of lists to a CSV bytestring.

    Parameters
    ----------
    data : list of lists
        The data to be serialized.  Any elements which are not strings will
        be converted to strings by calling ``str()``.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.writer.

    Returns
    -------
    raw_data : bytes
        The serialized data as a bytestring.
    """
    fp = StringIO()
    writer = csv.writer(fp, delimiter=delimiter, **kwargs)
    for row in data:
        writer.writerow(row)
    return fp.getvalue().encode(encoding)


def from_csv(raw_data, delimiter=',', encoding='utf-8', **kwargs):
    """ Deserialize a CSV bytestring.

    Parameters
    ----------
    raw_data : bytes
        The serialized CSV data as a byte string.
    delimiter : str
        The CSV delimiter.
    encoding : str
        The encoding of the bytes
    **kwargs
        Additional arguments to csv.reader.

    Returns
    -------
    data : list of list of str
        The data extracted as a list of lists of strings.
    """
    fp = StringIO(raw_data.decode(encoding))
    reader = csv.reader(fp, delimiter=delimiter, **kwargs)
    return list(reader)


def to_npy(data):
    """ Serialize an array to a bytestring using .npy format.

    Parameters
    ----------
    data : array-like
        The array to be serialized.

    Returns
    -------
    raw_data : bytes
        The serialized data as a bytestring.
    """
    import numpy as np

    data = np.atleast_2d(data)
    fp = BytesIO()
    np.save(fp, data, allow_pickle=False)
    return fp.getvalue()


def from_npy(raw_data):
    """ Deserialize a .npy-format bytestring.

    Parameters
    ----------
    raw_data : bytes
        The serialized CSV data as a byte string.

    Returns
    -------
    data : list of list of str
        The data extracted as a list of lists of strings.
    """
    import numpy as np

    fp = BytesIO(raw_data)
    return np.load(fp, allow_pickle=False)


table_format = DataFormat(
    'text/plain',
    partial(to_csv, delimiter='\t', lineterminator=os.linesep),
    partial(from_csv, delimiter='\t'),
)
csv_format = DataFormat('text/csv', to_csv, from_csv)
npy_format = DataFormat('application/x-npy', to_npy, from_npy)