def build_dict(self, path, container, contents):
"""
Build a hierarchical dictionary including information about the stats at each level
and the duration.
"""
if isinstance(path, basestring):
segs = process_pytest_path(path)
else:
segs = path
head = segs[0]
end = segs[1:]
# If we are at the end node, ie a test.
if not end:
container['_sub'][head] = contents
container['_stats'][contents['outcomes']['overall']] += 1
container['_duration'] += contents['duration']
# If we are in a module.
else:
if head not in container['_sub']:
container['_sub'][head] = deepcopy(_tests_tpl)
# Call again to recurse down the tree.
self.build_dict(end, container['_sub'][head], contents)
container['_stats'][contents['outcomes']['overall']] += 1
container['_duration'] += contents['duration']
def build_dict(self, path, container, contents):
"""
Build a hierarchical dictionary including information about the stats at each level
and the duration.
"""
if isinstance(path, basestring):
segs = process_pytest_path(path)
else:
segs = path
head = segs[0]
end = segs[1:]
# If we are at the end node, ie a test.
if not end:
container['_sub'][head] = contents
container['_stats'][contents['outcomes']['overall']] += 1
container['_duration'] += contents['duration']
# If we are in a module.
else:
if head not in container['_sub']:
container['_sub'][head] = deepcopy(_tests_tpl)
# Call again to recurse down the tree.
self.build_dict(end, container['_sub'][head], contents)
container['_stats'][contents['outcomes']['overall']] += 1
container['_duration'] += contents['duration']
def build_li(self, lev):
"""
Build up the actual HTML tree from the dict from build_dict
"""
bimdict = {'passed': 'success',
'failed': 'warning',
'error': 'danger',
'skipped': 'primary',
'xpassed': 'danger',
'xfailed': 'success'}
list_string = '<ul>\n'
for k, v in lev['_sub'].iteritems():
# If 'name' is an attribute then we are looking at a test (leaf).
if 'name' in v:
pretty_time = str(datetime.timedelta(seconds=math.ceil(v['duration'])))
teststring = '<span name="mod_lev" class="label label-primary">T</span>'
label = '<span class="label label-{}">{}</span>'.format(
bimdict[v['outcomes']['overall']], v['outcomes']['overall'].upper())
proc_name = process_pytest_path(v['name'])[-1]
link = (
'<a href="#{}">{} {} {} <span style="color:#888888"><em>[{}]</em></span></a>'
.format(v['name'], proc_name, teststring, label, pretty_time))
# Do we really need the os.path.split (now process_pytest_path) here?
# For me it seems the name is always the leaf
list_string += '<li>{}</li>\n'.format(link)
# If there is a '_sub' attribute then we know we have other modules to go.
elif '_sub' in v:
percenstring = ""
bmax = 0
for _, val in v['_stats'].iteritems():
bmax += val
# If there were any NON skipped tests, we now calculate the percentage which
# passed.
if bmax:
percen = "{:.2f}".format((float(v['_stats']['passed']) +
float(v['_stats']['skipped']) +
float(v['_stats']['xfailed'])) / float(bmax) * 100)
if float(percen) == 100.0:
level = 'passed'
elif float(percen) > 80.0:
level = 'failed'
else:
level = 'error'
percenstring = '<span name="blab" class="label label-{}">{}%</span>'.format(
bimdict[level], percen)
modstring = '<span name="mod_lev" class="label label-primary">M</span>'
pretty_time = str(datetime.timedelta(seconds=math.ceil(v['_duration'])))
list_string += ('<li>{} {}<span> </span>'
'{}{}<span style="color:#888888"> <em>[{}]'
'</em></span></li>\n').format(k,
modstring,
str(percenstring),
self.build_li(v),
pretty_time)
list_string += '</ul>\n'
return list_string
def build_li(self, lev):
"""
Build up the actual HTML tree from the dict from build_dict
"""
bimdict = {'passed': 'success',
'failed': 'warning',
'error': 'danger',
'skipped': 'primary',
'xpassed': 'danger',
'xfailed': 'success'}
list_string = '<ul>\n'
for k, v in lev['_sub'].iteritems():
# If 'name' is an attribute then we are looking at a test (leaf).
if 'name' in v:
pretty_time = str(datetime.timedelta(seconds=math.ceil(v['duration'])))
teststring = '<span name="mod_lev" class="label label-primary">T</span>'
label = '<span class="label label-{}">{}</span>'.format(
bimdict[v['outcomes']['overall']], v['outcomes']['overall'].upper())
proc_name = process_pytest_path(v['name'])[-1]
link = (
'<a href="#{}">{} {} {} <span style="color:#888888"><em>[{}]</em></span></a>'
.format(v['name'], proc_name, teststring, label, pretty_time))
# Do we really need the os.path.split (now process_pytest_path) here?
# For me it seems the name is always the leaf
list_string += '<li>{}</li>\n'.format(link)
# If there is a '_sub' attribute then we know we have other modules to go.
elif '_sub' in v:
percenstring = ""
bmax = 0
for _, val in v['_stats'].iteritems():
bmax += val
# If there were any NON skipped tests, we now calculate the percentage which
# passed.
if bmax:
percen = "{:.2f}".format((float(v['_stats']['passed']) +
float(v['_stats']['xfailed'])) / float(bmax) * 100)
if float(percen) == 100.0:
level = 'passed'
elif float(percen) > 80.0:
level = 'failed'
else:
level = 'error'
percenstring = '<span name="blab" class="label label-{}">{}%</span>'.format(
bimdict[level], percen)
modstring = '<span name="mod_lev" class="label label-primary">M</span>'
pretty_time = str(datetime.timedelta(seconds=math.ceil(v['_duration'])))
list_string += ('<li>{} {}<span> </span>'
'{}{}<span style="color:#888888"> <em>[{}]'
'</em></span></li>\n').format(k,
modstring,
str(percenstring),
self.build_li(v),
pretty_time)
list_string += '</ul>\n'
return list_string
def test_process_pytest_path(input_string, expected_result):
assert process_pytest_path(input_string) == expected_result
def test_process_pytest_path(input_string, expected_result):
assert process_pytest_path(input_string) == expected_result
