summaryrefslogtreecommitdiffstats
path: root/read_table_colspec.py
blob: 662ff9122c336186e3bbd63cb50db9c5007956df (plain)
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
#!/usr/bin/env python3
#
# Aaron LI
# Created: 2016-06-25
# Updated: 2016-06-26
#
# Change logs:
# 2016-06-26:
#   * Allow missing data columns
#

"""
Read a table from a plain text file according to a data column
specification.

The "column" here means the column number by each character.
While the "data column" means a meaningful data which stretch multiple
columns. e.g,
------------------------------------------------------------
1234567890123456789012345678901234567890  -> column
  x  xxx.xx  xxx.x   xxxx
 xx   xx.x    xx.xx  xxxx
  |     |       |      |
 DC1   DC2     DC3    DC4                 -> data column
------------------------------------------------------------

This table syntax is usually used in optical astronomy, e.g, SDSS tables.


Sample configuration file:
------------------------------------------------------------
## Configuration for `read_table_colspec.py`
## Date: 2016-06-25

# input table file
infile = <INPUT.TXT>

# output file in CSV format
outfile = <OUTPUT.CSV>

# data column specification
# column number is 1-based, and end column is inclusive.
[colspec]
    # name = col_begin, col_end, type, comment
    ID = 1, 4, int
    RA = 5, 15, float, deg
    Dec = 16, 26, float, deg
    redshift = 27, 34, float
    name = 35, -1, str
------------------------------------------------------------
"""

import re
import argparse
import csv
from pydoc import locate

from configobj import ConfigObj


def parse_colspec(config):
    """
    Parse the data column specification from the config file.

    Parsed colspec syntax:
    [
        (name, col_begin, col_end, type, comment),
        ...
    ]

    NOTE: the above `col_begin` and `col_end` are convert to be 0-based.
    """
    colspec = []
    for name, spec in config.items():
        col_begin, col_end = int(spec[0]), int(spec[1])
        # Convert column number to be 0-based
        col_begin -= 1
        if col_end != -1:
            col_end -= 1
        # Cast from string to type
        # Credit: https://stackoverflow.com/a/29831586/4856091
        t = locate(spec[2])
        if len(spec) == 4:
            comment = spec[3]
        else:
            comment = ""
        colspec.append((name, col_begin, col_end, t, comment))
    return colspec


def parse_line(line, colspec):
    """
    Parse the given line according to the data column specification.

    Parse value syntax:
    [ (name, value, comment), ... ]
    """
    items = []
    for name, col_begin, col_end, t, comment in colspec:
        if col_end == -1:
            value = line[col_begin:].strip()
        else:
            value = line[col_begin:(col_end+1)].strip()
        try:
            value = t(value)
        except ValueError:
            value = None
        items.append((name, value, comment))
    return items


def main():
    parser = argparse.ArgumentParser(
            description="Read table data by column specification")
    parser.add_argument("config", nargs=1,
                        help="config of input, output, column specification")
    args = parser.parse_args()

    config = ConfigObj(args.config[0])
    colspec = parse_colspec(config["colspec"])
    # output column header
    header = [spec[0] if spec[-1] == "" else "%s[%s]" % (spec[0], spec[-1])
              for spec in colspec]
    with open(config["outfile"], "w") as csv_file:
        csv_writer = csv.writer(csv_file)
        csv_writer.writerow(header)
        # data lines
        for line in open(config["infile"]).read().splitlines():
            if re.match(r"^\s*$", line):
                # ignore blank lines
                continue
            if re.match(r"^\s*#.*$", line):
                continue
            #
            items = parse_line(line, colspec)
            values = [x[1] for x in items]
            csv_writer.writerow(values)


if __name__ == "__main__":
    main()