def process_pipeline_args(self, pipeline_args: JobVariant):
# our steps depends on dependency descriptor step
component_descriptor_step = pipeline_args.step(
concourse.model.traits.component_descriptor.DEFAULT_COMPONENT_DESCRIPTOR_STEP_NAME
)
if self.trait.protecode():
self.image_scan_step._add_dependency(component_descriptor_step)
if self.trait.clam_av():
self.malware_scan_step._add_dependency(component_descriptor_step)
for trait_name in self.trait.trait_depends():
if not pipeline_args.has_trait(trait_name):
raise ModelValidationError(f'dependency towards absent trait: {trait_name}')
depended_on_trait = pipeline_args.trait(trait_name)
# XXX refactor Trait/TraitTransformer
transformer = depended_on_trait.transformer()
# XXX step-injection may have (unintended) side-effects :-/
depended_on_step_names = {step.name for step in transformer.inject_steps()}
for step in pipeline_args.steps():
if not step.name in depended_on_step_names:
continue
if self.trait.protecode():
self.image_scan_step._add_dependency(step)
# prevent cyclic dependencies (from auto-injected depends)
if self.image_scan_step.name in step.depends():
step._remove_dependency(self.image_scan_step)
if self.trait.clam_av():
self.malware_scan_step._add_dependency(step)
# prevent cyclic dependencies (from auto-injected depends)
if self.malware_scan_step.name in step.depends():
step._remove_dependency(self.malware_scan_step)
def process_pipeline_args(self, pipeline_args: JobVariant):
# our step depends on dependency descriptor step
component_descriptor_step = pipeline_args.step('component_descriptor')
self.image_scan_step._add_dependency(component_descriptor_step)
for trait_name in self.trait.trait_depends():
if not pipeline_args.has_trait(trait_name):
raise ModelValidationError(
f'dependency towards absent trait: {trait_name}')
depended_on_trait = pipeline_args.trait(trait_name)
# XXX refactor Trait/TraitTransformer
transformer = depended_on_trait.transformer()
# XXX step-injection may have (unintended) side-effects :-/
depended_on_step_names = {
step.name
for step in transformer.inject_steps()
}
for step in pipeline_args.steps():
if not step.name in depended_on_step_names:
continue
self.image_scan_step._add_dependency(step)
# prevent cyclic dependencies (from auto-injected depends)
if self.image_scan_step.name in step.depends():
step._remove_dependency(self.image_scan_step)
def process_pipeline_args(self, pipeline_args: JobVariant):
cd_trait = pipeline_args.trait('component_descriptor')
cd_step = pipeline_args.step(cd_trait.step_name())
self.release_step._add_dependency(cd_step)