expoweb/scripts/qms/svx2qm.py
2021-12-30 14:56:05 +00:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright © 2018 Philip Withnall
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the
# Free Software Foundation, Inc., 59 Temple Place - Suite 330,
# Boston, MA 02111-1307, USA.
import argparse
import csv
import sys
class QmExtracter:
"""
Class implementing the svx2qm command line tool.
This provides a way to extract question marks (QMs) from Survex files.
The code in this class is currently tightly tied to the command line tool.
"""
def __init__(self, debug):
self.debug = debug
def extract_qms(self, svx_files):
qms = []
# Extract the QMs from the various Survex files.
for svx_file in svx_files:
survey_name_stack = []
survey_date = None
with open(svx_file) as fd:
for line in fd:
try:
if line.lower().startswith('*begin'):
parts = line.split()
survey_name_stack.append(parts[1] if len(parts) > 1 else '')
continue
if line.lower().startswith('*end'):
survey_name_stack.pop()
continue
if not survey_date and line.lower().startswith('*date'):
parts = line.split()
if len(parts) > 1:
survey_date = parts[1]
continue
# Look for a line matching:
# ;[ QM1 A surveyname.3 - description of QM ]
# or
# ;QM1 A surveyname.3 - description of QM
is_placeholder = \
(line.startswith(';[') or line.startswith('; ['))
if not line.startswith(';'):
continue
fields = line[1:-1].split(None, 4)
if not fields or len(fields) != 5:
continue
[name, grade, nearest_station,
resolution_station, description] = fields
if not name.lower().startswith('qm') or len(name) <= 2:
continue
# Sanitise the grade.
grade = grade.upper()
if grade not in ['A', 'B', 'C', 'D', 'E', 'X']:
self.__print_error(svx_file, line,
'Unknown QM grade %s' % grade)
continue
# Sanitise the resolution station.
if resolution_station == '-':
resolution_station = None
# Sanitise the description.
description = description.strip()
# Warn about (and ignore) lines which are just the
# example template.
if nearest_station.startswith('surveyname.'):
self.__print_error(svx_file, line,
'QM line is an unmodified '
'example line')
continue
# By this point we should have a survey name from a
# *begin line (or series of them). If not, the survex
# file is malformed.
if not survey_name_stack:
self.__print_error(svx_file, line,
'No *begin with survey name')
continue
survey_name = '.'.join(survey_name_stack)
# Warn if the line was a placeholder
if is_placeholder:
self.__print_error(svx_file, line,
'QM line contains placeholder '
'square brackets')
continue
# Warn if the nearest-stations name doesnt match the
# survey name.
if not nearest_station.startswith(survey_name + '.'):
self.__print_error(svx_file, line,
'QM nearest-station survey '
'name (%s) doesnt match '
'*begin statement in file '
'(%s)' %
(nearest_station.split('.')[0],
survey_name))
continue
# Warn if this QM number has been used before, then
# ignore it.
used_before = False
for qm in qms:
if qm[0] == survey_name and qm[2] == name:
self.__print_error(svx_file, line,
'QM number %s already '
'used in this file' % name)
used_before = True
break
if used_before:
continue
qms.append((survey_name, survey_date, name, grade,
nearest_station, resolution_station,
description))
except (ValueError, IndexError) as e:
self.__print_error(svx_file, line, e)
continue
# Order them by grade, then date, and then by survey name.
qms.sort(key=lambda qm: (qm[3], qm[1], qm[0]))
return qms
def format_qms(self, qms, format, include_resolved=False):
if format == 'csv':
self.format_qms_csv(qms, include_resolved)
elif format == 'human':
self.format_qms_human(qms, include_resolved)
else:
# Should never be reached: input validation should check the format
assert(False)
def format_qms_csv(self, qms, include_resolved=False):
writer = csv.writer(sys.stdout)
writer.writerow(['Survey name', 'Survey date',
'QM name', 'Grade', 'Nearest station',
'Resolution station', 'Description'])
for qm in qms:
# Do we actually want this QM, if its been resolved?
if not include_resolved and qm[5]:
continue
writer.writerow(qm)
def format_qms_human(self, qms, include_resolved=False, colour=True):
# Work out the maximum width of each field.
field_names = ['Survey name', 'Survey date', 'QM name', 'Grade',
'Nearest station', 'Resolution station']
lens = [len(field) for field in field_names]
for qm in qms:
# Do we actually want this QM, if its been resolved?
if not include_resolved and qm[5]:
continue
for (idx, field) in enumerate(qm):
if idx >= len(field_names):
break
lens[idx] = max(lens[idx], len(field) if field else 0)
# Print a header (bold if possible).
if colour:
print('\033[1m', end='')
line_format = ' '.join(['{:<{}}'] * len(field_names))
flattened = [x for t in zip(field_names, lens) for x in t]
print(line_format.format(*flattened))
if colour:
print('\033[0m', end='')
print('' * (sum(lens) + 2 * (len(lens) - 1)))
# Adjust the width of the grade, survey and QM name fields to account
# for the color escapes.
if colour:
lens[0] += 8
lens[2] += 8
lens[3] += 9
# Print out the rows.
n_printed = 0
for qm in qms:
(survey_name, survey_date, name, grade, nearest_station,
resolution_station, description) = qm
# Do we actually want this QM, if its been resolved?
if not include_resolved and resolution_station:
continue
if not resolution_station:
resolution_station = ''
if colour:
try:
# See https://stackoverflow.com/a/33206814/2931197.
grade_colour = {
'A': '32',
'B': '33',
'C': '31',
'D': '31',
'E': '31',
'X': '37',
}[grade]
except KeyError:
grade_colour = '00'
formatted_grade = '\033[{}m{}\033[0m'.format(grade_colour,
grade)
formatted_survey_name = '\033[4m{}\033[0m'.format(survey_name)
formatted_name = '\033[4m{}\033[0m'.format(name)
else:
formatted_grade = grade
formatted_survey_name = survey_name
formatted_name = name
print(line_format.format(formatted_survey_name, lens[0],
survey_date, lens[1],
formatted_name, lens[2],
formatted_grade, lens[3],
nearest_station, lens[4],
resolution_station, lens[5]))
print(' ' + description)
n_printed += 1
# Have we finished all the QMs?
if n_printed == 0 and not qms:
print('No QMs found')
elif n_printed == 0:
print('No unresolved QMs found (but %u resolved ones were)' %
len(qms))
def __print_error(self, svx_file, line, exc):
sys.stderr.write('%s: %s\n %s\n' % (svx_file, exc, line))
def main():
"""
Main entry point to svx2qm. Handles arguments.
Usage example:
find -name '*.svx' | xargs ./svx2qm.py --format human
"""
parser = argparse.ArgumentParser(
description='Extract question marks (QMs) from one or more Survex '
'files. The QMs must be formatted appropriately, and '
'currently this script only supports commented-out QMs, '
'as the format has not been standardised yet. The QMs can '
'be returned as a human-readable list or as a CSV.')
parser.add_argument('svx_files', metavar='SVX-FILE …', nargs='+',
help='SVX files to extract QMs from')
parser.add_argument('--format', choices=['csv', 'human'], default='human',
help='output format (default: human)')
parser.add_argument('--debug', action='store_true', default=False,
help='output debug information')
parser.add_argument('--include-resolved', action='store_true',
default=False,
help='include resolved QMs in the output')
args = parser.parse_args()
extracter = QmExtracter(args.debug)
qms = extracter.extract_qms(args.svx_files)
extracter.format_qms(qms, args.format, args.include_resolved)
if __name__ == '__main__':
main()