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format_feature_test.py
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format_feature_test.py
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# Convert our "feature tests" format to csv and back
# David "Davi" Post, 2018-05-23
# for OpenElections project in WI
from __future__ import unicode_literals
import sys
import StringIO
import unicodecsv as csv
feature_file_header = """
Feature: WI Elections
Scenario Outline: Tests
When I visit the election file
And I search for <party> party candidate <candidate> running for <office> dist. <district> in the <ward> in <county>
Then I should see <votes> out of <total>
""".lstrip()
examples_prefix = ' Examples: '
fieldnames = ('filename,party,candidate,county,office,district,' +
'ward,votes,total').split(',')
feature_file_delimiter = '|'
indent = 4 * ' ' + feature_file_delimiter
# Widths of columns for feature tests
widths_normal = [40, 12, 44, 12, 48, 8, 8] # for fieldname[2] ...
widths_party = [8, 32, 12, 44, 12, 48, 8, 8] # add party column
widths_long_ward = [36, 12, 18, 12, 78, 8, 8] # for long ward names
widths_med_ward = [24, 12, 40, 12, 68, 8, 8] # for medium-long ward
def get_widths(line, sep=feature_file_delimiter):
"""Find widths of columns (separated by sep) in line"""
cols = [i for i, char in enumerate(line) if char == sep]
widths = [cols[i + 1] - cols[i] for i in range(len(cols) - 1)]
widths = [cols[0] + 1] + widths
return widths
def feature2csv(line, sep=feature_file_delimiter):
parts = csv.reader([line], delimiter=sep).next()
parts = map(unicode.strip, parts)[1:-1]
csv_buffer = StringIO.StringIO()
writer = csv.writer(csv_buffer)
writer.writerow(parts)
return csv_buffer.getvalue()
def csv2feature(csv_line, ww=False):
parts = csv.reader([csv_line]).next()
col_widths = (widths_party if len(parts) == len(widths_party)
else widths_normal)
if len(parts[-3]) >= col_widths[-3] or ww: # use wide ward field
col_widths = widths_long_ward
return expand(parts, col_widths)
def expand(data, col_widths):
"""Format data list as string, adjusting col_widths as needed"""
widths = col_widths[:] # make a copy
diffs = [len(data[i]) + 2 - width
for i, width in enumerate(widths)]
for i, diff in enumerate(diffs[:-1]):
if diff > 0 and diffs[i + 1] < 0: # col i too wide, i+1 has room
shrinkage = max(diffs[i + 1], - diff)
widths[i + 1] += shrinkage
diffs[i + 1] -= shrinkage
field_format = ' {:<{width}}' + feature_file_delimiter
parts = [field_format.format(field, width=widths[i] - 2)
for i, field in enumerate(data)]
return indent + ''.join(parts) + '\n'
def parse_feature_tests(feature_filepath, csv_filepath=None):
"""Read feature tests, write csv data"""
testfile = open(feature_filepath)
if csv_filepath is None:
csv_filepath = feature_filepath + '.csv'
csvfile = open(csv_filepath, 'w')
writer = csv.writer(csvfile)
writer.writerow(fieldnames)
csv_delimiter = str(feature_file_delimiter) # needs str, not unicode
while True:
for line in testfile:
_, _, filename = line.partition(examples_prefix)
if filename: # prefix found
break
else: # no break, end of file
break
row = [''] * len(fieldnames)
row[0] = filename.rstrip()
writer.writerow(row)
testfile.next() # skip fieldnames row
for line in testfile:
if not line.strip():
break # blank line, end of tests for current filename
row = csv.reader([line], delimiter=csv_delimiter).next()
row = map(unicode.strip, row)[:-1]
if len(row) < len(fieldnames): # party missing
row.insert(0, '')
writer.writerow(row)
else: # no break, end of file
break
def format_feature_tests(csv_filepath):
"""Read csv data, write formatted feature tests"""
csvfile = open(csv_filepath)
reader = csv.reader(csvfile)
feature_filepath = csv_filepath.replace('.csv', '')
feature_file = open(feature_filepath, 'w')
feature_file.write(feature_file_header)
reader.next() # discard header
done = False
col_widths = []
data = []
row = reader.next()
try:
while not done:
filename = row[0]
feature_file.write(examples_prefix + filename + '\n')
rows = []
for row in reader:
if row[0]: # next filename
break
rows.append(row)
else: # no break, end of file
done = True
col_widths = fit_column_widths(rows)
first_col = len(rows[0]) - len(col_widths)
data = fieldnames[first_col:] # section heading
feature_file.write(expand(data, col_widths))
for row_ in rows:
data = row_[first_col:]
line = expand(data, col_widths)
feature_file.write(line.encode('utf8'))
feature_file.write('\n')
except StandardError as exc:
print '*** Error formatting data: {}'.format(data)
print ' using widths: {}'.format(col_widths)
print ' in test for {}'.format(filename)
raise
def fit_column_widths(rows):
"""Return best list of column widths for rows of data"""
if rows[0][1]: # if party column used
col_widths = widths_party
else:
col_widths = widths_normal # default
cand_col = fieldnames.index('candidate')
maxwidths = max_widths(rows)[cand_col:]
ward_col = fieldnames.index('ward') - cand_col
cand_col = 0
if maxwidths[ward_col] >= widths_normal[ward_col]:
col_widths = widths_long_ward
if (maxwidths[ward_col] < widths_med_ward[ward_col]
and maxwidths[cand_col] < widths_med_ward[cand_col]):
col_widths = widths_med_ward # better fit for long office
return col_widths
def max_widths(rows):
"""Return maximum width for each column in a set of rows"""
num_cols = len(rows[0])
for row in rows[1:]:
if len(row) != num_cols:
raise ValueError(
'Inconsistent row length\n row = {}'.format(row))
return [ max([len(row[col]) for row in rows])
for col in range(num_cols) ]
feature_examples = [
" | candidate | county | office | ward | votes | total |",
" | party | candidate | county | office | ward | votes | total |",
" | DEM | Mario R. Hall | Milwaukee | State Assembly | City Of Wauwatosa Ward 24 | 7 | 104 |",
" | IND | Peter Miguel Camejo & Ralph Nader | Brown | President | VILLAGE OF HOWARD Wards 1 - 8 | 27 | 3767 |",
" | AME | Scattering | Menominee | Menominee-Shawano County District Attorney | TOWN OF MENOMINEE Ward 2 | 0 | 0 |",
" | Darrell L. Castle & Scott N. Bradley | Burnett | President | TOWN OF WOOD RIVER Ward 1-3 | 10 | 517 |",
" | Karen L. Seifert | Winnebago | Winnebago County Circuit Court, Branch 4 | VILLAGE OF WINNECONNE Wards 1 - 4 | 91 | 128 |",
" | David T. Prosser, Jr. | Manitowoc | Supreme Court | CITY OF MANITOWOC Wards 17, 18, 22, 24 - 26, 28 - 30, 32, 34 & 36 | 306 | 555 |",
" | Richard J. Spanbauer | Fond Du Lac | State Assembly | CITY OF FOND DU LAC Ward 39 | 0 | 0 |"
]
def run_examples():
for line in feature_examples:
csv_line = feature2csv(line)
feature_line = csv2feature(csv_line)
assert feature2csv(feature_line) == csv_line
print feature_line,
print
default_filepath = 'tests/features/wi-elections.feature'
if __name__ == '__main__':
filepath = default_filepath
if sys.argv[1:]:
filepath = sys.argv[1]
if filepath.endswith('.csv'):
format_feature_tests(filepath)
elif filepath.endswith('.feature'):
parse_feature_tests(filepath)
else:
print """\nUsage: {} [filepath]\n
For filepath suffix .csv, write feature test format to path without .csv
For filepath suffix .feature, write csv data to path with added suffix .csv
Without filepath, default to {}\n""".format(sys.argv[0], default_filepath)