def format_class_coverage(self, cover_character, klass, space1, progress, coverage, space2, lines, cover_threshold):
'''Accepts coverage data for a class and returns a formatted string (intended for
humans).
'''
# FIXME:
# Doesn't this *actually* print coverage for a module, and not a class?
# preprocess raw data...
klass = klass.lstrip('.')
klass = blue(klass)
MET_THRESHOLD = coverage >= cover_threshold
coverage = '{prefix}{coverage:.1%}'.format(
prefix=' ' if (coverage > 0.000) else '',
coverage=coverage
)
if MET_THRESHOLD:
coverage = bold(coverage)
coverage = white(coverage)
# ...then format
return ' {0} {klass}{space1}\t{progress}{coverage}{space2} {lines}'.format(
# TODO:
# * remove manual spacing, use .format() alignment
cover_character,
klass=klass,
space1=space1,
progress=dim('•' * progress),
coverage=coverage,
space2=space2,
lines=lines
)
def format_class_coverage(self, cover_character, klass, space1, progress,
coverage, space2, lines, cover_threshold):
'''Accepts coverage data for a class and returns a formatted string (intended for
humans).
'''
# FIXME:
# Doesn't this *actually* print coverage for a module, and not a class?
# preprocess raw data...
klass = klass.lstrip('.')
klass = blue(klass)
MET_THRESHOLD = coverage >= cover_threshold
coverage = '{prefix}{coverage:.1%}'.format(prefix=' ' if
(coverage > 0.000) else '',
coverage=coverage)
if MET_THRESHOLD:
coverage = bold(coverage)
coverage = white(coverage)
# ...then format
return ' {0} {klass}{space1}\t{progress}{coverage}{space2} {lines}'.format(
# TODO:
# * remove manual spacing, use .format() alignment
cover_character,
klass=klass,
space1=space1,
progress=dim('•' * progress),
coverage=coverage,
space2=space2,
lines=lines)
def print_profile(self, threshold):
'''Prints the 10 slowest topics that took longer than `threshold`
to test.
'''
'''Prints the 10 slowest topics that took longer than
`threshold` to test.
'''
MAX_PATH_SIZE = 40
topics = self.result.get_worst_topics(number=10, threshold=threshold)
if topics:
print(self.header('Slowest Topics'))
table_header = yellow(' {0}'.format(dim('#')))
table_header += yellow(
' Elapsed Context File Path ')
table_header += yellow(' Context Name')
print(table_header)
for index, topic in enumerate(topics):
name = self.under_split(topic['context'])
name = self.camel_split(name)
topic['path'] = os.path.realpath(topic['path'])
topic['path'] = '{0!s}'.format(topic['path'])
topic['path'] = os.path.relpath(topic['path'],
os.path.abspath(os.curdir))
data = {
'number':
'{number:#2}'.format(number=index + 1),
'time':
'{time:.05f}s'.format(time=topic['elapsed']),
'path':
'{path:<{width}}'.format(
path=topic['path'][-MAX_PATH_SIZE:],
width=MAX_PATH_SIZE),
'name':
'{name}'.format(name=name),
}
for k, v in data.items():
if k == 'number':
colorized = blue
if k == 'time':
colorized = green
if k == 'path':
colorized = lambda x: dim(white(x))
if k == 'name':
colorized = green
data[k] = colorized(v)
print(' {number} {time}{0}{path}{0}{name}'.format(
4 * ' ', **data))
print()
def print_profile(self, threshold):
'''Prints the 10 slowest topics that took longer than `threshold`
to test.
'''
'''Prints the 10 slowest topics that took longer than
`threshold` to test.
'''
MAX_PATH_SIZE = 40
topics = self.result.get_worst_topics(number=10, threshold=threshold)
if topics:
print(self.header('Slowest Topics'))
table_header = yellow(' {0}'.format(dim('#')))
table_header += yellow(' Elapsed Context File Path ')
table_header += yellow(' Context Name')
print(table_header)
for index, topic in enumerate(topics):
name = self.under_split(topic['context'])
name = self.camel_split(name)
topic['path'] = os.path.realpath(topic['path'])
topic['path'] = '{0!s}'.format(topic['path'])
topic['path'] = os.path.relpath(topic['path'], os.path.abspath(os.curdir))
data = {
'number': '{number:#2}'.format(number=index + 1),
'time': '{time:.05f}s'.format(time=topic['elapsed']),
'path': '{path:<{width}}'.format(
path=topic['path'][-MAX_PATH_SIZE:],
width=MAX_PATH_SIZE),
'name': '{name}'.format(name=name),
}
for k, v in data.items():
if k == 'number':
colorized = blue
if k == 'time':
colorized = green
if k == 'path':
colorized = lambda x: dim(white(x))
if k == 'name':
colorized = green
data[k] = colorized(v)
print(
' {number} {time}{0}{path}{0}{name}'.format(
4 * ' ',
**data)
)
print()
def format_overall_coverage(self, cover_character, max_length, progress, total_coverage):
"""Accepts overall coverage data and returns a formatted string (intended for
humans).
"""
# preprocess raw data
overall = blue("OVERALL")
overall = bold(overall)
space = " " * (max_length - len("OVERALL"))
total = "{total_coverage:.1%}".format(total_coverage=total_coverage)
total = white(bold(total))
# then format
return " {0} {overall}{space}\t{progress} {total}".format(
cover_character, overall=overall, space=space, progress="•" * progress, total=total
)
def format_overall_coverage(self, cover_character, max_length, progress, total_coverage):
'''Accepts overall coverage data and returns a formatted string (intended for
humans).
'''
# preprocess raw data
overall = blue('OVERALL')
overall = bold(overall)
space = ' ' * (max_length - len('OVERALL'))
total = '{total_coverage:.1%}'.format(total_coverage=total_coverage)
total = white(bold(total))
# then format
return ' {0} {overall}{space}\t{progress} {total}'.format(
cover_character,
overall=overall,
space=space,
progress='•' * progress,
total=total)
def format_overall_coverage(self, cover_character, max_length, progress,
total_coverage):
'''Accepts overall coverage data and returns a formatted string (intended for
humans).
'''
# preprocess raw data
overall = blue('OVERALL')
overall = bold(overall)
space = ' ' * (max_length - len('OVERALL'))
total = '{total_coverage:.1%}'.format(total_coverage=total_coverage)
total = white(bold(total))
# then format
return ' {0} {overall}{space}\t{progress} {total}'.format(
cover_character,
overall=overall,
space=space,
progress='•' * progress,
total=total)