def main():
install_logging('upload_packs_private.log')
upload_config = option_handler()
packs_artifacts_path = upload_config.artifacts_path
extract_destination_path = upload_config.extract_path
storage_bucket_name = upload_config.bucket_name
private_bucket_name = upload_config.private_bucket_name
service_account = upload_config.service_account
target_packs = upload_config.pack_names
build_number = upload_config.ci_build_number
id_set_path = upload_config.id_set_path
packs_dependencies_mapping = load_json(
upload_config.pack_dependencies
) if upload_config.pack_dependencies else {}
storage_base_path = upload_config.storage_base_path
is_private_build = upload_config.encryption_key and upload_config.encryption_key != ''
landing_page_sections = load_json(LANDING_PAGE_SECTIONS_PATH)
logging.info(f"Packs artifact path is: {packs_artifacts_path}")
prepare_test_directories(packs_artifacts_path)
# google cloud storage client initialized
storage_client = init_storage_client(service_account)
storage_bucket = storage_client.bucket(storage_bucket_name)
private_storage_bucket = storage_client.bucket(private_bucket_name)
default_storage_bucket = private_storage_bucket if is_private_build else storage_bucket
# download and extract index from public bucket
index_folder_path, index_blob, index_generation = download_and_extract_index(
storage_bucket, extract_destination_path)
# content repo client initialized
if not is_private_build:
content_repo = get_content_git_client(CONTENT_ROOT_PATH)
current_commit_hash, remote_previous_commit_hash = get_recent_commits_data(
content_repo,
index_folder_path,
is_bucket_upload_flow=False,
is_private_build=True)
else:
current_commit_hash, remote_previous_commit_hash = "", ""
content_repo = None
if storage_base_path:
GCPConfig.STORAGE_BASE_PATH = storage_base_path
# detect packs to upload
pack_names = get_packs_names(target_packs)
extract_packs_artifacts(packs_artifacts_path, extract_destination_path)
packs_list = [
Pack(pack_name, os.path.join(extract_destination_path, pack_name))
for pack_name in pack_names
if os.path.exists(os.path.join(extract_destination_path, pack_name))
]
if not is_private_build:
check_if_index_is_updated(index_folder_path, content_repo,
current_commit_hash,
remote_previous_commit_hash, storage_bucket)
if private_bucket_name: # Add private packs to the index
private_packs, private_index_path, private_index_blob = update_index_with_priced_packs(
private_storage_bucket, extract_destination_path,
index_folder_path, pack_names, is_private_build)
else: # skipping private packs
logging.info("Skipping index update of priced packs")
private_packs = []
# google cloud bigquery client initialized
packs_statistic_df = None
if not is_private_build:
bq_client = init_bigquery_client(service_account)
packs_statistic_df = get_packs_statistics_dataframe(bq_client)
# clean index and gcs from non existing or invalid packs
clean_non_existing_packs(index_folder_path, private_packs,
default_storage_bucket)
# starting iteration over packs
for pack in packs_list:
create_and_upload_marketplace_pack(
upload_config,
pack,
storage_bucket,
index_folder_path,
packs_dependencies_mapping,
private_bucket_name,
private_storage_bucket=private_storage_bucket,
content_repo=content_repo,
current_commit_hash=current_commit_hash,
remote_previous_commit_hash=remote_previous_commit_hash,
packs_statistic_df=packs_statistic_df)
# upload core packs json to bucket
if should_upload_core_packs(storage_bucket_name):
upload_core_packs_config(default_storage_bucket, build_number,
index_folder_path)
# finished iteration over content packs
if is_private_build:
delete_public_packs_from_index(index_folder_path)
upload_index_to_storage(index_folder_path,
extract_destination_path,
private_index_blob,
build_number,
private_packs,
current_commit_hash,
index_generation,
is_private_build,
landing_page_sections=landing_page_sections)
else:
upload_index_to_storage(index_folder_path,
extract_destination_path,
index_blob,
build_number,
private_packs,
current_commit_hash,
index_generation,
landing_page_sections=landing_page_sections)
# upload id_set.json to bucket
upload_id_set(default_storage_bucket, id_set_path)
# get the lists of packs divided by their status
successful_packs, skipped_packs, failed_packs = get_packs_summary(
packs_list)
# summary of packs status
print_packs_summary(successful_packs, skipped_packs, failed_packs)
def main():
install_logging('Copy and Upload Packs.log')
options = options_handler()
packs_artifacts_path = options.artifacts_path
extract_destination_path = options.extract_path
production_bucket_name = options.production_bucket_name
build_bucket_name = options.build_bucket_name
service_account = options.service_account
build_number = options.ci_build_number
circle_branch = options.circle_branch
production_base_path = options.production_base_path
target_packs = options.pack_names
# Google cloud storage client initialized
storage_client = init_storage_client(service_account)
production_bucket = storage_client.bucket(production_bucket_name)
build_bucket = storage_client.bucket(build_bucket_name)
# Initialize base paths
build_bucket_path = os.path.join(GCPConfig.BUILD_PATH_PREFIX,
circle_branch, build_number)
GCPConfig.BUILD_BASE_PATH = os.path.join(build_bucket_path,
GCPConfig.STORAGE_BASE_PATH)
if production_base_path:
GCPConfig.STORAGE_BASE_PATH = production_base_path
# Download and extract build index from build and prod buckets
build_index_folder_path, build_index_blob, build_index_generation = \
download_and_extract_index(build_bucket, extract_destination_path)
# Get the successful and failed packs file from Prepare Content step in Create Instances job if there are
pc_successful_packs_dict, pc_failed_packs_dict = get_successful_and_failed_packs(
os.path.join(os.path.dirname(packs_artifacts_path),
PACKS_RESULTS_FILE))
# Check if needs to upload or not
check_if_need_to_upload(pc_successful_packs_dict, pc_failed_packs_dict)
# Detect packs to upload
pack_names = get_pack_names(target_packs)
extract_packs_artifacts(packs_artifacts_path, extract_destination_path)
packs_list = [
Pack(pack_name, os.path.join(extract_destination_path, pack_name))
for pack_name in pack_names
if os.path.exists(os.path.join(extract_destination_path, pack_name))
]
# Starting iteration over packs
for pack in packs_list:
# Indicates whether a pack has failed to upload on Prepare Content step
task_status, pack_status = pack.is_failed_to_upload(
pc_failed_packs_dict)
if task_status:
pack.status = pack_status
pack.cleanup()
continue
task_status, user_metadata = pack.load_user_metadata()
if not task_status:
pack.status = PackStatus.FAILED_LOADING_USER_METADATA.value
pack.cleanup()
continue
task_status = pack.copy_integration_images(production_bucket,
build_bucket)
if not task_status:
pack.status = PackStatus.FAILED_IMAGES_UPLOAD.name
pack.cleanup()
continue
task_status = pack.copy_author_image(production_bucket, build_bucket)
if not task_status:
pack.status = PackStatus.FAILED_AUTHOR_IMAGE_UPLOAD.name
pack.cleanup()
continue
# Create a local copy of the pack's index changelog
task_status = pack.create_local_changelog(build_index_folder_path)
if not task_status:
pack.status = PackStatus.FAILED_RELEASE_NOTES.name
pack.cleanup()
continue
task_status, skipped_pack_uploading = pack.copy_and_upload_to_storage(
production_bucket, build_bucket, pack.latest_version,
pc_successful_packs_dict)
if skipped_pack_uploading:
pack.status = PackStatus.PACK_ALREADY_EXISTS.name
pack.cleanup()
continue
if not task_status:
pack.status = PackStatus.FAILED_UPLOADING_PACK.name
pack.cleanup()
continue
pack.status = PackStatus.SUCCESS.name
# upload core packs json to bucket
upload_core_packs_config(production_bucket, build_number,
extract_destination_path, build_bucket)
# finished iteration over content packs
copy_index(build_index_folder_path, build_index_blob,
build_index_generation, production_bucket, build_bucket)
# upload id_set.json to bucket
copy_id_set(production_bucket, build_bucket)
# get the lists of packs divided by their status
successful_packs, skipped_packs, failed_packs = get_packs_summary(
packs_list)
# verify that the successful from Prepare content and are the ones that were copied
verify_copy(successful_packs, pc_successful_packs_dict)
# summary of packs status
print_packs_summary(successful_packs, skipped_packs, failed_packs)
def main():
install_logging('Copy_and_Upload_Packs.log', logger=logging)
options = options_handler()
packs_artifacts_path = options.artifacts_path
extract_destination_path = options.extract_path
production_bucket_name = options.production_bucket_name
build_bucket_name = options.build_bucket_name
service_account = options.service_account
build_number = options.ci_build_number
circle_branch = options.circle_branch
production_base_path = options.production_base_path
target_packs = options.pack_names
marketplace = options.marketplace
# Google cloud storage client initialized
storage_client = init_storage_client(service_account)
production_bucket = storage_client.bucket(production_bucket_name)
build_bucket = storage_client.bucket(build_bucket_name)
# Initialize build and prod base paths
build_bucket_path = os.path.join(GCPConfig.BUILD_PATH_PREFIX,
circle_branch, build_number, marketplace)
build_bucket_base_path = os.path.join(build_bucket_path,
GCPConfig.CONTENT_PACKS_PATH)
# Relevant when triggering test upload flow
if production_bucket_name:
GCPConfig.PRODUCTION_BUCKET = production_bucket_name
# Download and extract build index from build and prod buckets
build_index_folder_path, build_index_blob, build_index_generation = \
download_and_extract_index(build_bucket, extract_destination_path, build_bucket_base_path)
# Get the successful and failed packs file from Prepare Content step in Create Instances job if there are
packs_results_file_path = os.path.join(
os.path.dirname(packs_artifacts_path),
BucketUploadFlow.PACKS_RESULTS_FILE)
pc_successful_packs_dict, pc_failed_packs_dict, pc_successful_private_packs_dict, \
pc_uploaded_images = get_upload_data(packs_results_file_path, BucketUploadFlow.PREPARE_CONTENT_FOR_TESTING)
logging.debug(
f"Successful packs from Prepare Content: {pc_successful_packs_dict}")
logging.debug(f"Failed packs from Prepare Content: {pc_failed_packs_dict}")
logging.debug(
f"Successful private packs from Prepare Content: {pc_successful_private_packs_dict}"
)
logging.debug(f"Images from Prepare Content: {pc_uploaded_images}")
# Check if needs to upload or not
check_if_need_to_upload(pc_successful_packs_dict, pc_failed_packs_dict,
pc_successful_private_packs_dict,
pc_uploaded_images)
# Detect packs to upload
pack_names = get_pack_names(target_packs)
extract_packs_artifacts(packs_artifacts_path, extract_destination_path)
packs_list = [
Pack(pack_name, os.path.join(extract_destination_path, pack_name),
marketplace) for pack_name in pack_names
if os.path.exists(os.path.join(extract_destination_path, pack_name))
]
# Starting iteration over packs
for pack in packs_list:
# Indicates whether a pack has failed to upload on Prepare Content step
task_status, pack_status = pack.is_failed_to_upload(
pc_failed_packs_dict)
if task_status:
pack.status = pack_status
pack.cleanup()
continue
task_status = pack.load_user_metadata(marketplace)
if not task_status:
pack.status = PackStatus.FAILED_LOADING_USER_METADATA.name
pack.cleanup()
continue
task_status = pack.copy_integration_images(production_bucket,
build_bucket,
pc_uploaded_images,
production_base_path,
build_bucket_base_path)
if not task_status:
pack.status = PackStatus.FAILED_IMAGES_UPLOAD.name
pack.cleanup()
continue
task_status = pack.copy_author_image(production_bucket, build_bucket,
pc_uploaded_images,
production_base_path,
build_bucket_base_path)
if not task_status:
pack.status = PackStatus.FAILED_AUTHOR_IMAGE_UPLOAD.name
pack.cleanup()
continue
task_status, skipped_pack_uploading = pack.copy_and_upload_to_storage(
production_bucket, build_bucket, pc_successful_packs_dict,
production_base_path, build_bucket_base_path)
if skipped_pack_uploading:
pack.status = PackStatus.PACK_ALREADY_EXISTS.name
pack.cleanup()
continue
if not task_status:
pack.status = PackStatus.FAILED_UPLOADING_PACK.name
pack.cleanup()
continue
pack.status = PackStatus.SUCCESS.name
# upload core packs json to bucket
upload_core_packs_config(production_bucket, build_number,
extract_destination_path, build_bucket,
production_base_path, build_bucket_base_path)
# finished iteration over content packs
copy_index(build_index_folder_path, build_index_blob,
build_index_generation, production_bucket, build_bucket,
production_base_path, build_bucket_base_path)
# upload id_set.json to bucket
copy_id_set(production_bucket, build_bucket, production_base_path,
build_bucket_base_path)
# get the lists of packs divided by their status
successful_packs, skipped_packs, failed_packs = get_packs_summary(
packs_list)
# Store successful and failed packs list in CircleCI artifacts
store_successful_and_failed_packs_in_ci_artifacts(
packs_results_file_path,
BucketUploadFlow.UPLOAD_PACKS_TO_MARKETPLACE_STORAGE, successful_packs,
failed_packs, list(pc_successful_private_packs_dict))
# verify that the successful from Prepare content and are the ones that were copied
verify_copy(successful_packs, pc_successful_packs_dict)
# summary of packs status
print_packs_summary(successful_packs, skipped_packs, failed_packs)
