def _normalize_package_name(self, node_args):
"""Normalize package name in node arguments."""
if not node_args:
return
if 'name' in node_args and 'ecosystem' in node_args:
ecosystem = Ecosystem.by_name(self.postgres.session,
node_args['ecosystem'])
node_args['name'] = normalize_package_name(
ecosystem_backend=ecosystem.backend.name,
name=node_args['name'])
def run_package_analysis(self, name, ecosystem, version):
"""Run Selinon flow for analyses.
:param name: name of the package to analyse
:param version: package version
:param ecosystem: package ecosystem
:return: dispatcher ID serving flow
"""
node_args = {
'ecosystem': ecosystem,
'name': normalize_package_name(ecosystem, name),
'version': version,
'force': True,
'recursive_limit': 0
}
logger.info("Scheduling Selinon flow '%s' "
"with node_args: '%s'", 'bayesianFlow', node_args)
return run_flow('bayesianFlow', node_args)
def execute(self, arguments):
"""Task code.
:param arguments: dictionary with task arguments
:return: {}, results
"""
self.log.debug("Input Arguments: {}".format(arguments))
self._strict_assert(arguments.get('name'))
self._strict_assert(arguments.get('version'))
self._strict_assert(arguments.get('ecosystem'))
# make sure we store package name based on ecosystem package naming case sensitivity
arguments['name'] = normalize_package_name(arguments['ecosystem'], arguments['name'])
db = self.storage.session
try:
ecosystem = Ecosystem.by_name(db, arguments['ecosystem'])
except NoResultFound:
raise FatalTaskError('Unknown ecosystem: %r' % arguments['ecosystem'])
p = Package.get_or_create(db, ecosystem_id=ecosystem.id, name=arguments['name'])
v = Version.get_or_create(db, package_id=p.id, identifier=arguments['version'])
if not arguments.get('force'):
# TODO: this is OK for now, but if we will scale and there will be
# 2+ workers running this task they can potentially schedule two
# flows of a same type at the same time
if db.query(Analysis).filter(Analysis.version_id == v.id).count() > 0:
# we need to propagate flags that were passed to flow, but not
# E/P/V - this way we are sure that for example graph import is
# scheduled (arguments['force_graph_sync'] == True)
arguments.pop('name')
arguments.pop('version')
arguments.pop('ecosystem')
self.log.debug("Arguments returned by initAnalysisFlow without force: {}"
.format(arguments))
return arguments
cache_path = mkdtemp(dir=self.configuration.WORKER_DATA_DIR)
epv_cache = ObjectCache.get_from_dict(arguments)
try:
if not epv_cache.\
has_source_tarball():
_, source_tarball_path = IndianaJones.fetch_artifact(
ecosystem=ecosystem,
artifact=arguments['name'],
version=arguments['version'],
target_dir=cache_path
)
epv_cache.put_source_tarball(source_tarball_path)
if ecosystem.is_backed_by(EcosystemBackend.maven):
if not epv_cache.has_source_jar():
try:
source_jar_path = self._download_source_jar(cache_path, ecosystem,
arguments)
epv_cache.put_source_jar(source_jar_path)
except Exception as e:
self.log.info(
'Failed to fetch source jar for maven artifact "{n}/{v}": {err}'.
format(n=arguments.get('name'),
v=arguments.get('version'),
err=str(e))
)
if not epv_cache.has_pom_xml():
pom_xml_path = self._download_pom_xml(cache_path, ecosystem, arguments)
epv_cache.put_pom_xml(pom_xml_path)
finally:
# always clean up cache
shutil.rmtree(cache_path)
a = Analysis(version=v, access_count=1, started_at=datetime.datetime.utcnow())
db.add(a)
db.commit()
arguments['document_id'] = a.id
# export ecosystem backend so we can use it to easily control flow later
arguments['ecosystem_backend'] = ecosystem.backend.name
self.log.debug("Arguments returned by InitAnalysisFlow are: {}".format(arguments))
return arguments
def test_normalize_package_name(ecosystem, name, expected_result):
"""Test normalize_package_name()."""
assert normalize_package_name(ecosystem, name) == expected_result
def execute(self, arguments):
"""Task code.
:param arguments: dictionary with task arguments
:return: {}, results
"""
self.log.debug("Input Arguments: {}".format(arguments))
self._strict_assert(isinstance(arguments.get('ecosystem'), str))
self._strict_assert(isinstance(arguments.get('name'), str))
self._strict_assert(isinstance(arguments.get('version'), str))
db = self.storage.session
try:
ecosystem = Ecosystem.by_name(db, arguments['ecosystem'])
except NoResultFound:
raise FatalTaskError('Unknown ecosystem: %r' %
arguments['ecosystem'])
# make sure we store package name in its normalized form
arguments['name'] = normalize_package_name(ecosystem.backend.name,
arguments['name'])
if len(pattern_ignore.findall(arguments['version'])) > 0:
self.log.info("Incorrect version alert {} {}".format(
arguments['name'], arguments['version']))
raise NotABugFatalTaskError("Incorrect version alert {} {}".format(
arguments['name'], arguments['version']))
# Dont try ingestion for private packages
if is_pkg_public(arguments['ecosystem'], arguments['name']):
self.log.info("Ingestion flow for {} {}".format(
arguments['ecosystem'], arguments['name']))
else:
self.log.info("Private package ingestion ignored {} {}".format(
arguments['ecosystem'], arguments['name']))
raise NotABugFatalTaskError("Private package alert {} {}".format(
arguments['ecosystem'], arguments['name']))
p = Package.get_or_create(db,
ecosystem_id=ecosystem.id,
name=arguments['name'])
v = Version.get_or_create(db,
package_id=p.id,
identifier=arguments['version'])
if not arguments.get('force'):
if db.query(Analysis).filter(
Analysis.version_id == v.id).count() > 0:
arguments['analysis_already_exists'] = True
self.log.debug(
"Arguments returned by initAnalysisFlow without force: {}".
format(arguments))
return arguments
cache_path = mkdtemp(dir=self.configuration.WORKER_DATA_DIR)
epv_cache = ObjectCache.get_from_dict(arguments)
npm_dir = self.configuration.NPM_DATA_DIR
try:
if not epv_cache.\
has_source_tarball():
_, source_tarball_path = IndianaJones.fetch_artifact(
ecosystem=ecosystem,
artifact=arguments['name'],
version=arguments['version'],
target_dir=cache_path)
epv_cache.put_source_tarball(source_tarball_path)
if ecosystem.is_backed_by(EcosystemBackend.maven):
if not epv_cache.has_source_jar():
try:
source_jar_path = self._download_source_jar(
cache_path, ecosystem, arguments)
epv_cache.put_source_jar(source_jar_path)
except Exception as e:
self.log.info(
'Failed to fetch source jar for maven artifact "{n}/{v}": {err}'
.format(n=arguments.get('name'),
v=arguments.get('version'),
err=str(e)))
if not epv_cache.has_pom_xml():
pom_xml_path = self._download_pom_xml(
cache_path, ecosystem, arguments)
epv_cache.put_pom_xml(pom_xml_path)
finally:
# always clean up cache
shutil.rmtree(cache_path)
if arguments['ecosystem'] == "npm":
shutil.rmtree(npm_dir, True)
a = Analysis(version=v,
access_count=1,
started_at=datetime.datetime.utcnow())
db.add(a)
db.commit()
arguments['document_id'] = a.id
# export ecosystem backend so we can use it to easily control flow later
arguments['ecosystem_backend'] = ecosystem.backend.name
self.log.debug(
"Arguments returned by InitAnalysisFlow are: {}".format(arguments))
return arguments
