def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
resolve_comp_result = self.workflow.data.prebuild_results.get(
PLUGIN_RESOLVE_COMPOSES_KEY)
flatpak_util = FlatpakUtil(workflow_config=self.workflow.conf,
source_config=self.workflow.source.config,
composes=resolve_comp_result['composes'])
compose_info = flatpak_util.get_flatpak_compose_info()
source = flatpak_util.get_flatpak_source_info()
builder = FlatpakBuilder(source, None, None)
builder.precheck()
flatpak_update = functools.partial(self.update_dockerfile, builder,
compose_info)
self.workflow.build_dir.for_each_platform(flatpak_update)
create_files = functools.partial(
self.create_includepkgs_file_and_cleanupscript, builder)
self.workflow.build_dir.for_all_platforms_copy(create_files)
def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
flatpak_yaml = self.workflow.source.config.flatpak
if flatpak_yaml is None:
return
labels = flatpak_yaml.get('labels')
if not labels:
return
labels_str = " ".join(
label_to_string(k, v) for k, v in sorted(labels.items()))
label_line = f"\nLABEL {labels_str}\n"
def add_labels_to_df(build_dir: BuildDir) -> None:
dockerfile = build_dir.dockerfile
# put labels at the end of dockerfile (since they change metadata and do not interact
# with FS, this should cause no harm)
dockerfile.lines = dockerfile.lines + [label_line]
self.workflow.build_dir.for_each_platform(add_labels_to_df)
def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
flatpak_yaml = self.workflow.source.config.flatpak
if flatpak_yaml is None:
return
labels = flatpak_yaml.get('labels')
if not labels:
return
dockerfile = df_parser(self.workflow.builder.df_path, workflow=self.workflow)
lines = dockerfile.lines
# Sort to get repeatable results with Python2
formatted_labels = []
for k in sorted(labels):
formatted_labels.append(label_to_string(k, labels[k]))
# put labels at the end of dockerfile (since they change metadata and do not interact
# with FS, this should cause no harm)
lines.append('\nLABEL ' + " ".join(formatted_labels) + '\n')
dockerfile.lines = lines
def _update_extra(self, extra):
if not isinstance(self.workflow.source, GitSource):
raise RuntimeError('git source required')
try:
isolated = self.workflow.user_params['isolated']
except (IndexError, AttributeError, KeyError):
isolated = False
self.log.info("build is isolated: %r", isolated)
extra['image']['isolated'] = isolated
fs_koji_task_id = self._filesystem_koji_task_id
if fs_koji_task_id is not None:
extra['filesystem_koji_task_id'] = fs_koji_task_id
extra['image'].update(get_parent_image_koji_data(self.workflow))
resolve_comp_result = self.workflow.data.prebuild_results.get(
PLUGIN_RESOLVE_COMPOSES_KEY)
if resolve_comp_result['composes']:
extra['image']['odcs'] = {
'compose_ids':
[item['id'] for item in resolve_comp_result['composes']],
'signing_intent':
resolve_comp_result['signing_intent'],
'signing_intent_overridden':
resolve_comp_result['signing_intent_overridden'],
}
if self.workflow.data.all_yum_repourls:
extra['image'][
'yum_repourls'] = self.workflow.data.all_yum_repourls
if is_flatpak_build(self.workflow):
flatpak_util = FlatpakUtil(
workflow_config=self.workflow.conf,
source_config=self.workflow.source.config,
composes=resolve_comp_result['composes'])
flatpak_compose_info = flatpak_util.get_flatpak_compose_info()
if flatpak_compose_info:
koji_metadata = flatpak_compose_info.koji_metadata()
extra['image'].update(koji_metadata)
extra['osbs_build']['subtypes'].append('flatpak')
self.set_help(extra)
self.set_operators_metadata(extra)
self.set_pnc_build_metadata(extra)
self.set_remote_sources_metadata(extra)
self.set_remote_source_file_metadata(extra)
self.set_go_metadata(extra)
self.set_group_manifest_info(extra)
extra['osbs_build']['kind'] = KOJI_KIND_IMAGE_BUILD
# OSBS2 TBD
extra['osbs_build']['engine'] = 'podman'
if has_operator_appregistry_manifest(self.workflow):
extra['osbs_build']['subtypes'].append(KOJI_SUBTYPE_OP_APPREGISTRY)
if has_operator_bundle_manifest(self.workflow):
extra['osbs_build']['subtypes'].append(KOJI_SUBTYPE_OP_BUNDLE)
if self.userdata:
extra['custom_user_metadata'] = self.userdata
def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
self._load_compose_info()
compose_info = get_flatpak_compose_info(self.workflow)
self._load_source()
source = get_flatpak_source_info(self.workflow)
builder = FlatpakBuilder(source, None, None)
builder.precheck()
# Update the dockerfile
# We need to enable all the modules other than the platform pseudo-module
enable_modules_str = ' '.join(builder.get_enable_modules())
install_packages_str = ' '.join(builder.get_install_packages())
replacements = {
'@ENABLE_MODULES@': enable_modules_str,
'@INSTALL_PACKAGES@': install_packages_str,
'@RELEASE@': compose_info.main_module.version,
}
dockerfile = df_parser(self.workflow.builder.df_path,
workflow=self.workflow)
content = dockerfile.content
# Perform the substitutions; simple approach - should be efficient enough
for old, new in replacements.items():
content = content.replace(old, new)
dockerfile.content = content
# Create a file describing which packages from the base yum repositories are included
includepkgs = builder.get_includepkgs()
includepkgs_path = os.path.join(self.workflow.builder.df_dir,
FLATPAK_INCLUDEPKGS_FILENAME)
with open(includepkgs_path, 'w') as f:
f.write('includepkgs = ' + ','.join(includepkgs) + '\n')
# Create the cleanup script
cleanupscript = os.path.join(self.workflow.builder.df_dir,
FLATPAK_CLEANUPSCRIPT_FILENAME)
with open(cleanupscript, 'w') as f:
f.write(builder.get_cleanup_script())
os.chmod(cleanupscript, 0o0500)
def get_image_components(workflow: DockerBuildWorkflow,
image_platform: str) -> List[RpmComponent]:
"""
Re-package the output of the `rpmqa` or `flatpak_create_oci`(for flatpak) plugin into the format
required for the metadata.
"""
components: List[RpmComponent]
if is_flatpak_build(workflow):
flatpak_result = workflow.data.postbuild_results[
PLUGIN_FLATPAK_CREATE_OCI][image_platform]
components = flatpak_result['components']
else:
components = workflow.data.postbuild_results[
PostBuildRPMqaPlugin.key][image_platform]
return components or []
def run(self) -> Optional[Dict[str, Dict[str, Any]]]:
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return None
resolve_comp_result: Dict[str, Any] = self.workflow.data.plugins_results[
PLUGIN_RESOLVE_COMPOSES_KEY]
flatpak_util = FlatpakUtil(workflow_config=self.workflow.conf,
source_config=self.workflow.source.config,
composes=resolve_comp_result['composes'])
source = flatpak_util.get_flatpak_source_info()
if not source:
raise RuntimeError("flatpak_create_dockerfile must be run before flatpak_create_oci")
build_flatpak_image = functools.partial(self.build_flatpak_image, source)
return self.workflow.build_dir.for_each_platform(build_flatpak_image)
def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
self._load_source_spec()
source_spec = get_flatpak_source_spec(self.workflow)
module_info = ModuleSpec.from_str(source_spec)
# Load additional information from the flatpak section
flatpak_yaml = self.workflow.source.config.flatpak
base_image = flatpak_yaml.get('base_image', self.default_base_image)
name = flatpak_yaml.get('name', module_info.name)
component = flatpak_yaml.get('component', module_info.name)
# Create the dockerfile
df_path = os.path.join(self.workflow.builder.df_dir,
DOCKERFILE_FILENAME)
with open(df_path, 'w') as fp:
fp.write(
DOCKERFILE_TEMPLATE.format(
name=name,
component=component,
cleanupscript=FLATPAK_CLEANUPSCRIPT_FILENAME,
includepkgs=FLATPAK_INCLUDEPKGS_FILENAME,
stream=module_info.stream.replace('-', '_'),
base_image=base_image,
relative_repos_path=RELATIVE_REPOS_PATH,
rpm_qf_args=rpm_qf_args(),
yum_repos_dir=YUM_REPOS_DIR))
self.workflow.builder.set_df_path(df_path)
# set source registry and organization
source_registry_docker_uri = get_source_registry(
self.workflow)['uri'].docker_uri
organization = get_registries_organization(self.workflow)
self.workflow.builder.dockerfile_images.set_source_registry(
source_registry_docker_uri, organization)
def run(self):
"""
run the plugin
"""
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
flatpak_util = FlatpakUtil(workflow_config=self.workflow.conf,
source_config=self.workflow.source.config,
composes=None)
source_spec = flatpak_util.get_flatpak_source_spec()
module_info = ModuleSpec.from_str(source_spec)
# Load additional information from the flatpak section
flatpak_yaml = self.workflow.source.config.flatpak
base_image = flatpak_yaml.get('base_image', self.default_base_image)
name = flatpak_yaml.get('name', module_info.name)
component = flatpak_yaml.get('component', module_info.name)
# Create the dockerfile
def _create_dockerfile(build_dir: BuildDir) -> List[Path]:
content = DOCKERFILE_TEMPLATE.format(
name=name,
component=component,
cleanupscript=FLATPAK_CLEANUPSCRIPT_FILENAME,
includepkgs=FLATPAK_INCLUDEPKGS_FILENAME,
stream=module_info.stream.replace('-', '_'),
base_image=base_image,
relative_repos_path=RELATIVE_REPOS_PATH,
rpm_qf_args=rpm_qf_args(),
yum_repos_dir=YUM_REPOS_DIR)
build_dir.dockerfile_path.write_text(content, "utf-8")
return [build_dir.dockerfile_path]
created_files = self.workflow.build_dir.for_all_platforms_copy(
_create_dockerfile)
dockerfile_path = created_files[0]
self.workflow.reset_dockerfile_images(str(dockerfile_path))
def run(self):
if is_flatpak_build(self.workflow):
# We'll extract the filesystem anyways for a Flatpak instead of exporting
# the docker image directly, so squash just slows things down.
self.log.info('flatpak build, skipping plugin')
return
# This plugin is obsoleted. This line change is just for the test pass.
if getattr(self.workflow, "skip_layer_squash", False):
return # enable build plugins to prevent unnecessary squashes
if self.save_archive:
output_path = os.path.join(self.workflow.source.workdir,
EXPORTED_SQUASHED_IMAGE_NAME)
metadata = {"path": output_path}
else:
output_path = None
# Squash the image and output tarfile
# If the parameter dont_load is set to True squashed image won't be
# loaded in to Docker daemon. If it's set to False it will be loaded.
new_id = Squash(log=self.log,
image=self.image,
from_layer=self.from_layer,
tag=self.tag,
output_path=output_path,
load_image=not self.dont_load).run()
if ':' not in new_id:
# Older versions of the daemon do not include the prefix
new_id = 'sha256:{}'.format(new_id)
if not self.dont_load:
self.workflow.data.image_id = new_id
if self.save_archive:
metadata.update(
get_exported_image_metadata(output_path,
IMAGE_TYPE_DOCKER_ARCHIVE))
# OSBS2 TBD exported_image_sequence will not work for multiple platform
self.workflow.data.exported_image_sequence.append(metadata)
def run(self) -> Dict[str, Union[List, Dict[str, List[str]]]]:
is_source_build = PLUGIN_FETCH_SOURCES_KEY in self.workflow.data.prebuild_results
if not is_source_build and not is_flatpak_build(self.workflow):
self.log.info('not a flatpak or source build, skipping plugin')
return {'pushed_images': [],
'repositories': self.get_repositories()}
pushed_images = []
wf_data = self.workflow.data
tag_conf = wf_data.tag_conf
images = []
if is_source_build:
source_image = self.source_get_unique_image()
plugin_results = wf_data.buildstep_result[PLUGIN_SOURCE_CONTAINER_KEY]
image = plugin_results['image_metadata']
tag_conf.add_unique_image(source_image)
images.append((image, source_image))
else:
for image_platform in get_platforms(self.workflow.data):
plugin_results = wf_data.postbuild_results[PLUGIN_FLATPAK_CREATE_OCI]
image = plugin_results[image_platform]['metadata']
registry_image = tag_conf.get_unique_images_with_platform(image_platform)[0]
images.append((image, registry_image))
insecure = self.registry.get('insecure', False)
docker_push_secret = self.registry.get('secret', None)
self.log.info("Registry %s secret %s", self.registry['uri'], docker_push_secret)
for image, registry_image in images:
max_retries = DOCKER_PUSH_MAX_RETRIES
for retry in range(max_retries + 1):
self.push_with_skopeo(image, registry_image, insecure, docker_push_secret)
if is_source_build:
manifests_dict = get_all_manifests(registry_image, self.registry['uri'],
insecure,
docker_push_secret, versions=('v2',))
try:
koji_source_manifest_response = manifests_dict['v2']
except KeyError as exc:
raise RuntimeError(
f'Unable to fetch v2 schema 2 digest for {registry_image.to_str()}'
) from exc
wf_data.koji_source_manifest = koji_source_manifest_response.json()
digests = get_manifest_digests(registry_image, self.registry['uri'],
insecure, docker_push_secret)
if not (digests.v2 or digests.oci) and (retry < max_retries):
sleep_time = DOCKER_PUSH_BACKOFF_FACTOR * (2 ** retry)
self.log.info("Retrying push because V2 schema 2 or "
"OCI manifest not found in %is", sleep_time)
time.sleep(sleep_time)
else:
break
pushed_images.append(registry_image)
self.log.info("All images were tagged and pushed")
return {'pushed_images': pushed_images,
'repositories': self.get_repositories()}
def run(self):
if not is_flatpak_build(self.workflow):
self.log.info('not flatpak build, skipping plugin')
return
source = get_flatpak_source_info(self.workflow)
if source is None:
raise RuntimeError(
"flatpak_create_dockerfile must be run before flatpak_create_oci"
)
self.builder = FlatpakBuilder(source,
self.workflow.source.workdir,
'var/tmp/flatpak-build',
parse_manifest=parse_rpm_output,
flatpak_metadata=self.flatpak_metadata)
df_labels = df_parser(self.workflow.builder.df_path,
workflow=self.workflow).labels
self.builder.add_labels(df_labels)
tarred_filesystem, manifest = self._export_filesystem()
self.log.info('filesystem tarfile written to %s', tarred_filesystem)
self.log.info('manifest written to %s', manifest)
image_components = self.builder.get_components(manifest)
self.workflow.image_components = image_components
ref_name, outfile, tarred_outfile = self.builder.build_container(
tarred_filesystem)
self.log.info('Marking filesystem image "%s" for removal',
self.workflow.builder.image_id)
defer_removal(self.workflow, self.workflow.builder.image_id)
image_id = self._get_oci_image_id(outfile)
self.log.info('New OCI image ID is %s', image_id)
self.workflow.builder.image_id = image_id
labels = Labels(df_labels)
_, image_name = labels.get_name_and_value(Labels.LABEL_TYPE_NAME)
_, image_version = labels.get_name_and_value(Labels.LABEL_TYPE_VERSION)
_, image_release = labels.get_name_and_value(Labels.LABEL_TYPE_RELEASE)
name = '{}-{}'.format(self.key, image_name)
tag = '{}-{}'.format(image_version, image_release)
# The OCI id is tracked by the builder. The image will be removed in the exit phase
# No need to mark it for removal after pushing to the local storage
self._copy_oci_to_local_storage(outfile, name, tag)
metadata = get_exported_image_metadata(outfile, IMAGE_TYPE_OCI)
metadata['ref_name'] = ref_name
self.workflow.exported_image_sequence.append(metadata)
self.log.info('OCI image is available as %s', outfile)
metadata = get_exported_image_metadata(tarred_outfile,
IMAGE_TYPE_OCI_TAR)
metadata['ref_name'] = ref_name
self.workflow.exported_image_sequence.append(metadata)
self.log.info('OCI tarfile is available as %s', tarred_outfile)