def test_classifier(self):
attrs = {'name': 'Boa', 'version': '3.0',
'classifiers': ['Programming Language :: Python :: 3']}
dist = Distribution(attrs)
self.assertEqual(dist.get_classifiers(),
['Programming Language :: Python :: 3'])
meta = self.format_metadata(dist)
self.assertIn('Metadata-Version: 1.1', meta)
def test_classifier(self):
attrs = {'name': 'Boa', 'version': '3.0',
'classifiers': ['Programming Language :: Python :: 3']}
dist = Distribution(attrs)
self.assertEqual(dist.get_classifiers(),
['Programming Language :: Python :: 3'])
meta = self.format_metadata(dist)
self.assertIn('Metadata-Version: 1.1', meta)
def setup_mock(**attrs):
"""Mock the setup(**attrs) in order to retrieve metadata."""
# TODO use config and metadata instead of Distribution
from distutils.dist import Distribution
dist = Distribution(attrs)
dist.parse_config_files()
# 1. retrieve metadata fields that are quite similar in
# PEP 314 and PEP 345
labels = (('name',) * 2,
('version',) * 2,
('author',) * 2,
('author_email',) * 2,
('maintainer',) * 2,
('maintainer_email',) * 2,
('description', 'summary'),
('long_description', 'description'),
('url', 'home_page'),
('platforms', 'platform'),
('provides', 'provides-dist'),
('obsoletes', 'obsoletes-dist'),
('requires', 'requires-dist'))
get = lambda lab: getattr(dist.metadata, lab.replace('-', '_'))
data.update((new, get(old)) for old, new in labels if get(old))
# 2. retrieve data that requires special processing
data['classifier'].update(dist.get_classifiers() or [])
data['scripts'].extend(dist.scripts or [])
data['packages'].extend(dist.packages or [])
data['modules'].extend(dist.py_modules or [])
# 2.1 data_files -> resources
if dist.data_files:
if (len(dist.data_files) < 2 or
isinstance(dist.data_files[1], str)):
dist.data_files = [('', dist.data_files)]
# add tokens in the destination paths
vars = {'distribution.name': data['name']}
path_tokens = sysconfig.get_paths(vars=vars).items()
# sort tokens to use the longest one first
path_tokens = sorted(path_tokens, key=lambda x: len(x[1]))
for dest, srcs in (dist.data_files or []):
dest = os.path.join(sys.prefix, dest)
dest = dest.replace(os.path.sep, '/')
for tok, path in path_tokens:
path = path.replace(os.path.sep, '/')
if not dest.startswith(path):
continue
dest = ('{%s}' % tok) + dest[len(path):]
files = [('/ '.join(src.rsplit('/', 1)), dest)
for src in srcs]
data['resources'].extend(files)
# 2.2 package_data
data['package_data'] = dist.package_data.copy()
# Use README file if its content is the desciption
if "description" in data:
ref = md5(re.sub('\s', '',
self.data['description']).lower().encode())
ref = ref.digest()
for readme in glob.glob('README*'):
with open(readme, encoding='utf-8') as fp:
contents = fp.read()
contents = re.sub('\s', '', contents.lower()).encode()
val = md5(contents).digest()
if val == ref:
del data['description']
data['description-file'] = readme
break
def setup_mock(**attrs):
"""Mock the setup(**attrs) in order to retrieve metadata."""
# TODO use config and metadata instead of Distribution
from distutils.dist import Distribution
dist = Distribution(attrs)
dist.parse_config_files()
# 1. retrieve metadata fields that are quite similar in
# PEP 314 and PEP 345
labels = (('name', ) * 2, ('version', ) * 2, ('author', ) * 2,
('author_email', ) * 2, ('maintainer', ) * 2,
('maintainer_email', ) * 2, ('description', 'summary'),
('long_description', 'description'), ('url',
'home_page'),
('platforms', 'platform'), ('provides', 'provides-dist'),
('obsoletes', 'obsoletes-dist'), ('requires',
'requires-dist'))
get = lambda lab: getattr(dist.metadata, lab.replace('-', '_'))
data.update((new, get(old)) for old, new in labels if get(old))
# 2. retrieve data that requires special processing
data['classifier'].update(dist.get_classifiers() or [])
data['scripts'].extend(dist.scripts or [])
data['packages'].extend(dist.packages or [])
data['modules'].extend(dist.py_modules or [])
# 2.1 data_files -> resources
if dist.data_files:
if (len(dist.data_files) < 2
or isinstance(dist.data_files[1], str)):
dist.data_files = [('', dist.data_files)]
# add tokens in the destination paths
vars = {'distribution.name': data['name']}
path_tokens = sysconfig.get_paths(vars=vars).items()
# sort tokens to use the longest one first
path_tokens = sorted(path_tokens, key=lambda x: len(x[1]))
for dest, srcs in (dist.data_files or []):
dest = os.path.join(sys.prefix, dest)
dest = dest.replace(os.path.sep, '/')
for tok, path in path_tokens:
path = path.replace(os.path.sep, '/')
if not dest.startswith(path):
continue
dest = ('{%s}' % tok) + dest[len(path):]
files = [('/ '.join(src.rsplit('/', 1)), dest)
for src in srcs]
data['resources'].extend(files)
# 2.2 package_data
data['package_data'] = dist.package_data.copy()
# Use README file if its content is the desciption
if "description" in data:
ref = md5(
re.sub('\s', '',
self.data['description']).lower().encode())
ref = ref.digest()
for readme in glob.glob('README*'):
with open(readme, encoding='utf-8') as fp:
contents = fp.read()
contents = re.sub('\s', '', contents.lower()).encode()
val = md5(contents).digest()
if val == ref:
del data['description']
data['description-file'] = readme
break
def setup(**attrs):
"""Mock the setup(**attrs) in order to retrive metadata."""
# use the distutils v1 processings to correctly parse metadata.
#XXX we could also use the setuptools distibution ???
from distutils.dist import Distribution
dist = Distribution(attrs)
dist.parse_config_files()
# 1. retrieves metadata that are quite similar PEP314<->PEP345
labels = (('name', ) * 2, ('version', ) * 2, ('author', ) * 2,
('author_email', ) * 2, ('maintainer', ) * 2,
('maintainer_email', ) * 2, ('description', 'summary'),
('long_description', 'description'),
('url', 'home_page'), ('platforms', 'platform'))
if sys.version[:3] >= '2.5':
labels += (
('provides', 'provides-dist'),
('obsoletes', 'obsoletes-dist'),
('requires', 'requires-dist'),
)
get = lambda lab: getattr(dist.metadata, lab.replace('-', '_'))
data.update((new, get(old)) for (old, new) in labels if get(old))
# 2. retrieves data that requires special processings.
data['classifier'].update(dist.get_classifiers() or [])
data['scripts'].extend(dist.scripts or [])
data['packages'].extend(dist.packages or [])
data['modules'].extend(dist.py_modules or [])
# 2.1 data_files -> resources.
if dist.data_files:
if len(dist.data_files) < 2 or \
isinstance(dist.data_files[1], str):
dist.data_files = [('', dist.data_files)]
# add tokens in the destination paths
vars = {'distribution.name': data['name']}
path_tokens = sysconfig.get_paths(vars=vars).items()
# sort tokens to use the longest one first
# TODO chain two sorted with key arguments, remove cmp
path_tokens.sort(cmp=lambda x, y: cmp(len(y), len(x)),
key=lambda x: x[1])
for dest, srcs in (dist.data_files or []):
dest = os.path.join(sys.prefix, dest)
for tok, path in path_tokens:
if dest.startswith(path):
dest = ('{%s}' % tok) + dest[len(path):]
files = [('/ '.join(src.rsplit('/', 1)), dest)
for src in srcs]
data['resources'].extend(files)
continue
# 2.2 package_data -> extra_files
package_dirs = dist.package_dir or {}
for package, extras in dist.package_data.iteritems() or []:
package_dir = package_dirs.get(package, package)
files = [os.path.join(package_dir, f) for f in extras]
data['extra_files'].extend(files)
# Use README file if its content is the desciption
if "description" in data:
ref = md5(re.sub('\s', '', self.data['description']).lower())
ref = ref.digest()
for readme in glob.glob('README*'):
fp = open(readme)
try:
contents = fp.read()
finally:
fp.close()
val = md5(re.sub('\s', '', contents.lower())).digest()
if val == ref:
del data['description']
data['description-file'] = readme
break
def setup(**attrs):
"""Mock the setup(**attrs) in order to retrive metadata."""
# use the distutils v1 processings to correctly parse metadata.
#XXX we could also use the setuptools distibution ???
from distutils.dist import Distribution
dist = Distribution(attrs)
dist.parse_config_files()
# 1. retrieves metadata that are quite similar PEP314<->PEP345
labels = (('name',) * 2,
('version',) * 2,
('author',) * 2,
('author_email',) * 2,
('maintainer',) * 2,
('maintainer_email',) * 2,
('description', 'summary'),
('long_description', 'description'),
('url', 'home_page'),
('platforms', 'platform'))
if sys.version[:3] >= '2.5':
labels += (('provides', 'provides-dist'),
('obsoletes', 'obsoletes-dist'),
('requires', 'requires-dist'),)
get = lambda lab: getattr(dist.metadata, lab.replace('-', '_'))
data.update((new, get(old)) for (old, new) in labels if get(old))
# 2. retrieves data that requires special processings.
data['classifier'].update(dist.get_classifiers() or [])
data['scripts'].extend(dist.scripts or [])
data['packages'].extend(dist.packages or [])
data['modules'].extend(dist.py_modules or [])
# 2.1 data_files -> resources.
if dist.data_files:
if len(dist.data_files) < 2 or \
isinstance(dist.data_files[1], str):
dist.data_files = [('', dist.data_files)]
# add tokens in the destination paths
vars = {'distribution.name': data['name']}
path_tokens = sysconfig.get_paths(vars=vars).items()
# sort tokens to use the longest one first
# TODO chain two sorted with key arguments, remove cmp
path_tokens.sort(cmp=lambda x, y: cmp(len(y), len(x)),
key=lambda x: x[1])
for dest, srcs in (dist.data_files or []):
dest = os.path.join(sys.prefix, dest)
for tok, path in path_tokens:
if dest.startswith(path):
dest = ('{%s}' % tok) + dest[len(path):]
files = [('/ '.join(src.rsplit('/', 1)), dest)
for src in srcs]
data['resources'].extend(files)
continue
# 2.2 package_data -> extra_files
package_dirs = dist.package_dir or {}
for package, extras in dist.package_data.iteritems() or []:
package_dir = package_dirs.get(package, package)
files = [os.path.join(package_dir, f) for f in extras]
data['extra_files'].extend(files)
# Use README file if its content is the desciption
if "description" in data:
ref = md5(re.sub('\s', '', self.data['description']).lower())
ref = ref.digest()
for readme in glob.glob('README*'):
fp = open(readme)
try:
contents = fp.read()
finally:
fp.close()
val = md5(re.sub('\s', '', contents.lower())).digest()
if val == ref:
del data['description']
data['description-file'] = readme
break