def lambda_handler(event, _):
sts = STS()
role = sts.assume_cross_account_role(
'arn:aws:iam::{0}:role/{1}'.format(
event["account_id"],
event["cross_account_access_role"]
), 'master_lambda'
)
if event['is_deployment_account']:
configure_master_account_parameters(event)
configure_deployment_account_parameters(event, role)
s3 = S3(
region=REGION_DEFAULT,
bucket=S3_BUCKET
)
for region in list(set([event["deployment_account_region"]] + event["regions"])):
if not event["is_deployment_account"]:
configure_generic_account(sts, event, region, role)
cloudformation = CloudFormation(
region=region,
deployment_account_region=event["deployment_account_region"],
role=role,
wait=False,
stack_name=None, # Stack name will be automatically defined based on event
s3=s3,
s3_key_path=event["full_path"],
account_id=event["account_id"]
)
cloudformation.create_stack()
return event
def main():
parameter_store = ParameterStore(DEPLOYMENT_ACCOUNT_REGION, boto3)
deployment_map = DeploymentMap(parameter_store,
os.environ["ADF_PIPELINE_PREFIX"])
s3 = S3(DEPLOYMENT_ACCOUNT_REGION, boto3, S3_BUCKET_NAME)
sts = STS(boto3)
role = sts.assume_cross_account_role(
'arn:aws:iam::{0}:role/{1}-org-access-adf'.format(
MASTER_ACCOUNT_ID,
parameter_store.fetch_parameter('cross_account_access_role')),
'pipeline')
organizations = Organizations(role)
clean(parameter_store, deployment_map)
for p in deployment_map.map_contents.get('pipelines'):
pipeline = Pipeline(p)
for target in p['targets']:
target_structure = TargetStructure(target)
for step in target_structure.target:
for path in step.get('path'):
try:
regions = step.get(
'regions',
p.get('regions', DEPLOYMENT_ACCOUNT_REGION))
pipeline.stage_regions.append(regions)
pipeline_target = Target(path, regions,
target_structure,
organizations)
pipeline_target.fetch_accounts_for_target()
except BaseException:
raise Exception(
"Failed to return accounts for {0}".format(path))
pipeline.template_dictionary["targets"].append(
target_structure.account_list)
if DEPLOYMENT_ACCOUNT_REGION not in regions:
pipeline.stage_regions.append(DEPLOYMENT_ACCOUNT_REGION)
parameters = pipeline.generate_parameters()
pipeline.generate()
deployment_map.update_deployment_parameters(pipeline)
s3_object_path = upload_if_required(s3, pipeline)
store_regional_parameter_config(pipeline, parameter_store)
cloudformation = CloudFormation(
region=DEPLOYMENT_ACCOUNT_REGION,
deployment_account_region=DEPLOYMENT_ACCOUNT_REGION,
role=boto3,
template_url=s3_object_path,
parameters=parameters,
wait=True,
stack_name="{0}-{1}".format(os.environ["ADF_PIPELINE_PREFIX"],
pipeline.name),
s3=None,
s3_key_path=None)
cloudformation.create_stack()
def create_update(self):
s3_object_path = s3.put_object(
"adf-build/repo_templates/codecommit.yml",
"{0}/adf-build/repo_templates/codecommit.yml".format(TARGET_DIR))
cloudformation = CloudFormation(
region=CODE_ACCOUNT_REGION,
deployment_account_region=CODE_ACCOUNT_REGION,
role=self.session,
template_url=s3_object_path,
parameters=self.define_repo_parameters(),
wait=True,
stack_name=self.stack_name,
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID,
)
# Update the stack if the repo and the adf contolled stack exist
update_stack = (self.repo_exists()
and cloudformation.get_stack_status())
if not self.repo_exists() or update_stack:
LOGGER.info(
'Creating Stack for Codecommit Repository %s on Account %s',
self.name, self.account_id)
cloudformation.create_stack()
def create_update(self):
s3_object_path = s3.put_object(
"adf-build/templates/codecommit.yml",
f"{TARGET_DIR}/adf-build/templates/codecommit.yml",
)
cloudformation = CloudFormation(
region=DEPLOYMENT_ACCOUNT_REGION,
deployment_account_region=DEPLOYMENT_ACCOUNT_REGION,
role=self.session,
template_url=s3_object_path,
parameters=self.define_repo_parameters(),
wait=True,
stack_name=self.stack_name,
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID,
)
# Update the stack if the repo and the ADF controlled stack exist,
# return if the repo exists but no stack (previously made)
_repo_exists = self.repo_exists()
_stack_exists = cloudformation.get_stack_status()
if _repo_exists and not _stack_exists:
return
if not _repo_exists and not _stack_exists:
LOGGER.info(
'Ensuring State for CodeCommit Repository Stack %s on Account %s',
self.name,
self.account_id,
)
cloudformation.create_stack()
def worker_thread(p, organizations, auto_create_repositories, s3,
deployment_map, parameter_store):
pipeline = Pipeline(p)
if auto_create_repositories == 'enabled':
try:
code_account_id = next(param['SourceAccountId']
for param in p['params']
if 'SourceAccountId' in param)
has_custom_repo = bool(
[item for item in p['params'] if 'RepositoryName' in item])
if auto_create_repositories and code_account_id and str(
code_account_id).isdigit() and not has_custom_repo:
repo = Repo(code_account_id, p.get('name'),
p.get('description'))
repo.create_update()
except StopIteration:
LOGGER.debug(
"No need to create repository as SourceAccountId is not found in params"
)
for target in p.get('targets', []):
target_structure = TargetStructure(target)
for step in target_structure.target:
for path in step.get('path'):
regions = step.get('regions',
p.get('regions', DEPLOYMENT_ACCOUNT_REGION))
step_name = step.get('name')
params = step.get('params', {})
pipeline.stage_regions.append(regions)
pipeline_target = Target(path, regions, target_structure,
organizations, step_name, params)
pipeline_target.fetch_accounts_for_target()
pipeline.template_dictionary["targets"].append(
target_structure.account_list)
if DEPLOYMENT_ACCOUNT_REGION not in regions:
pipeline.stage_regions.append(DEPLOYMENT_ACCOUNT_REGION)
parameters = pipeline.generate_parameters()
pipeline.generate()
deployment_map.update_deployment_parameters(pipeline)
s3_object_path = upload_pipeline(s3, pipeline)
store_regional_parameter_config(pipeline, parameter_store)
cloudformation = CloudFormation(
region=DEPLOYMENT_ACCOUNT_REGION,
deployment_account_region=DEPLOYMENT_ACCOUNT_REGION,
role=boto3,
template_url=s3_object_path,
parameters=parameters,
wait=True,
stack_name="{0}-{1}".format(ADF_PIPELINE_PREFIX, pipeline.name),
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID)
cloudformation.create_stack()
def main(): #pylint: disable=R0915
LOGGER.info('ADF Version %s', ADF_VERSION)
LOGGER.info("ADF Log Level is %s", ADF_LOG_LEVEL)
parameter_store = ParameterStore(DEPLOYMENT_ACCOUNT_REGION, boto3)
deployment_map = DeploymentMap(parameter_store, ADF_PIPELINE_PREFIX)
s3 = S3(DEPLOYMENT_ACCOUNT_REGION, S3_BUCKET_NAME)
sts = STS()
role = sts.assume_cross_account_role(
'arn:aws:iam::{0}:role/{1}-readonly'.format(
MASTER_ACCOUNT_ID,
parameter_store.fetch_parameter('cross_account_access_role')),
'pipeline')
organizations = Organizations(role)
clean(parameter_store, deployment_map)
for p in deployment_map.map_contents.get('pipelines'):
pipeline = Pipeline(p)
for target in p.get('targets', []):
target_structure = TargetStructure(target)
for step in target_structure.target:
for path in step.get('path'):
regions = step.get(
'regions', p.get('regions', DEPLOYMENT_ACCOUNT_REGION))
step_name = step.get('name')
params = step.get('params', {})
pipeline.stage_regions.append(regions)
pipeline_target = Target(path, regions, target_structure,
organizations, step_name, params)
pipeline_target.fetch_accounts_for_target()
pipeline.template_dictionary["targets"].append(
target_structure.account_list)
if DEPLOYMENT_ACCOUNT_REGION not in regions:
pipeline.stage_regions.append(DEPLOYMENT_ACCOUNT_REGION)
parameters = pipeline.generate_parameters()
pipeline.generate()
deployment_map.update_deployment_parameters(pipeline)
s3_object_path = upload_pipeline(s3, pipeline)
store_regional_parameter_config(pipeline, parameter_store)
cloudformation = CloudFormation(
region=DEPLOYMENT_ACCOUNT_REGION,
deployment_account_region=DEPLOYMENT_ACCOUNT_REGION,
role=boto3,
template_url=s3_object_path,
parameters=parameters,
wait=True,
stack_name="{0}-{1}".format(ADF_PIPELINE_PREFIX, pipeline.name),
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID)
cloudformation.create_stack()
def worker_thread(account_id, sts, config, s3, cache, kms_dict):
"""
The Worker thread function that is created for each account
in which CloudFormation create_stack is called
"""
LOGGER.debug("%s - Starting new worker thread", account_id)
organizations = Organizations(role=boto3, account_id=account_id)
ou_id = organizations.get_parent_info().get("ou_parent_id")
account_state = is_account_in_invalid_state(ou_id, config.config)
if account_state:
LOGGER.info("%s %s", account_id, account_state)
return
account_path = organizations.build_account_path(
ou_id,
[], # Initial empty array to hold OU Path,
cache)
try:
role = ensure_generic_account_can_be_setup(sts, config, account_id)
# Regional base stacks can be updated after global
for region in list(
set([config.deployment_account_region] +
config.target_regions)):
# Ensuring the kms_arn on the target account is up-to-date
parameter_store = ParameterStore(region, role)
parameter_store.put_parameter('kms_arn', kms_dict[region])
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path=account_path,
account_id=account_id)
try:
cloudformation.create_stack()
except GenericAccountConfigureError as error:
if 'Unable to fetch parameters' in str(error):
LOGGER.error(
'%s - Failed to update its base stack due to missing parameters (deployment_account_id or kms_arn), '
'ensure this account has been bootstrapped correctly by being moved from the root '
'into an Organizational Unit within AWS Organizations.',
account_id)
raise Exception from error
except GenericAccountConfigureError as generic_account_error:
LOGGER.info(generic_account_error)
return
def worker_thread(template_path, name, s3):
s3_object_path = upload_pipeline(template_path, name, s3)
cloudformation = CloudFormation(
region=DEPLOYMENT_ACCOUNT_REGION,
deployment_account_region=DEPLOYMENT_ACCOUNT_REGION,
role=boto3,
template_url=s3_object_path,
parameters=[],
wait=True,
stack_name=f"{ADF_PIPELINE_PREFIX}{name}",
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID)
cloudformation.create_stack()
def lambda_handler(event, _):
parameters = ParameterStore(REGION_DEFAULT, boto3)
account_id = event.get(
'detail').get(
'requestParameters').get('accountId')
organizations = Organizations(boto3, account_id)
parsed_event = Event(event, parameters, organizations, account_id)
cache = Cache()
if parsed_event.moved_to_root or parsed_event.moved_to_protected:
return parsed_event.create_output_object(cache)
parsed_event.set_destination_ou_name()
sts = STS(boto3)
role = sts.assume_cross_account_role(
'arn:aws:iam::{0}:role/{1}'.format(
parsed_event.account_id,
parsed_event.cross_account_access_role
), 'master_lambda'
)
if parsed_event.is_deployment_account:
update_master_account_parameters(parsed_event, parameters)
configure_deployment_account(parsed_event, role)
s3 = S3(REGION_DEFAULT, boto3, S3_BUCKET)
account_path = parsed_event.organizations.build_account_path(
parsed_event.destination_ou_id,
[], # Initial empty array to hold OU Path,
cache,
)
for region in list(set([parsed_event.deployment_account_region] + parsed_event.regions)):
if not parsed_event.is_deployment_account:
configure_generic_account(sts, parsed_event, region, role)
cloudformation = CloudFormation(
region=region,
deployment_account_region=parsed_event.deployment_account_region,
role=role,
wait=False,
stack_name=None,
s3=s3,
s3_key_path=account_path,
file_path=None,
)
cloudformation.create_stack()
return parsed_event.create_output_object(cache)
def lambda_handler(event, _):
s3 = S3(region=REGION_DEFAULT, bucket=S3_BUCKET)
cloudformation = CloudFormation(
region=event['deployment_account_region'],
deployment_account_region=event['deployment_account_region'],
role=boto3,
wait=True,
stack_name=None,
s3=s3,
s3_key_path='adf-build')
cloudformation.create_stack()
return event
def create_update(self):
s3_object_path = s3.put_object(
"adf-build/templates/events.yml",
"{0}/templates/events.yml".format(TARGET_DIR)
)
cloudformation = CloudFormation(
region=SOURCE_ACCOUNT_REGION,
deployment_account_region=SOURCE_ACCOUNT_REGION,
role=self.role,
template_url=s3_object_path,
parameters=[],
wait=True,
stack_name=self.stack_name,
s3=None,
s3_key_path=None,
account_id=DEPLOYMENT_ACCOUNT_ID,
)
LOGGER.info('Ensuring Stack State for Event Rule forwarding from %s to %s', self.source_account_id, DEPLOYMENT_ACCOUNT_ID)
cloudformation.create_stack()
def worker_thread(account_id, sts, config, s3, cache):
"""
The Worker thread function that is created for each account
in which CloudFormation create_stack is called
"""
LOGGER.info("Starting new worker thread for %s", account_id)
organizations = Organizations(boto3, account_id)
ou_id = organizations.get_parent_info().get("ou_parent_id")
if is_account_invalid_state(ou_id, config.config):
LOGGER.info("%s is in an invalid state", account_id)
return
account_path = organizations.build_account_path(
ou_id,
[], # Initial empty array to hold OU Path,
cache)
LOGGER.info("The Account path for %s is %s", account_id, account_path)
try:
role = ensure_generic_account_can_be_setup(sts, config, account_id)
# Regional base stacks can be updated after global
for region in list(
set([config.deployment_account_region] +
config.target_regions)):
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path=account_path)
cloudformation.create_stack()
except GenericAccountConfigureError as generic_account_error:
LOGGER.info(generic_account_error)
return
def lambda_handler(event, _):
sts = STS()
account_id = event["account_id"]
cross_account_access_role = event["cross_account_access_role"]
role_arn = f'arn:{PARTITION}:iam::{account_id}:role/{cross_account_access_role}'
role = sts.assume_cross_account_role(role_arn=role_arn,
role_session_name='management_lambda')
if event['is_deployment_account']:
configure_master_account_parameters(event)
configure_deployment_account_parameters(event, role)
s3 = S3(region=REGION_DEFAULT, bucket=S3_BUCKET)
for region in list(
set([event["deployment_account_region"]] + event["regions"])):
if not event["is_deployment_account"]:
configure_generic_account(sts, event, region, role)
cloudformation = CloudFormation(
region=region,
deployment_account_region=event["deployment_account_region"],
role=role,
wait=True,
# Stack name will be automatically defined based on event
stack_name=None,
s3=s3,
s3_key_path=event["full_path"],
account_id=account_id)
if is_inter_ou_account_move(event):
cloudformation.delete_all_base_stacks(True) # override Wait
cloudformation.create_stack()
if region == event["deployment_account_region"]:
cloudformation.create_iam_stack()
return event
def main():
config = Config()
config.store_config()
try:
parameter_store = ParameterStore(REGION_DEFAULT, boto3)
deployment_account_id = parameter_store.fetch_parameter(
'deployment_account_id')
organizations = Organizations(boto3, deployment_account_id)
sts = STS(boto3)
deployment_account_role = prepare_deployment_account(
sts=sts,
deployment_account_id=deployment_account_id,
config=config)
cache = Cache()
ou_id = organizations.get_parent_info().get("ou_parent_id")
account_path = organizations.build_account_path(ou_id=ou_id,
account_path=[],
cache=cache)
s3 = S3(REGION_DEFAULT, boto3, S3_BUCKET_NAME)
# First Setup the Deployment Account in all regions (KMS Key and S3 Bucket + Parameter Store values)
for region in list(
set([config.deployment_account_region] +
config.target_regions)):
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=deployment_account_role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path=account_path)
cloudformation.create_stack()
update_deployment_account_output_parameters(
deployment_account_region=config.deployment_account_region,
region=region,
deployment_account_role=deployment_account_role,
cloudformation=cloudformation)
threads = []
account_ids = organizations.get_account_ids()
for account_id in account_ids:
t = PropagatingThread(target=worker_thread,
args=(account_id, sts, config, s3, cache))
t.start()
threads.append(t)
for thread in threads:
thread.join()
step_functions = StepFunctions(
role=deployment_account_role,
deployment_account_id=deployment_account_id,
deployment_account_region=config.deployment_account_region,
regions=config.target_regions,
account_ids=[
i for i in account_ids if i != config.deployment_account_region
],
update_pipelines_only=1)
step_functions.execute_statemachine()
except ParameterNotFoundError:
LOGGER.info("Deployment Account has not yet been Bootstrapped.")
return
def main(): # pylint: disable=R0915
LOGGER.info("ADF Version %s", ADF_VERSION)
LOGGER.info("ADF Log Level is %s", ADF_LOG_LEVEL)
policies = OrganizationPolicy()
config = Config()
config.store_config()
try:
parameter_store = ParameterStore(REGION_DEFAULT, boto3)
deployment_account_id = parameter_store.fetch_parameter(
'deployment_account_id')
organizations = Organizations(role=boto3,
account_id=deployment_account_id)
policies.apply(organizations, parameter_store, config.config)
sts = STS()
deployment_account_role = prepare_deployment_account(
sts=sts,
deployment_account_id=deployment_account_id,
config=config)
cache = Cache()
ou_id = organizations.get_parent_info().get("ou_parent_id")
account_path = organizations.build_account_path(ou_id=ou_id,
account_path=[],
cache=cache)
s3 = S3(region=REGION_DEFAULT, bucket=S3_BUCKET_NAME)
kms_and_bucket_dict = {}
# First Setup/Update the Deployment Account in all regions (KMS Key and
# S3 Bucket + Parameter Store values)
for region in list(
set([config.deployment_account_region] +
config.target_regions)):
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=deployment_account_role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path="adf-bootstrap/" + account_path,
account_id=deployment_account_id)
cloudformation.create_stack()
update_deployment_account_output_parameters(
deployment_account_region=config.deployment_account_region,
region=region,
kms_and_bucket_dict=kms_and_bucket_dict,
deployment_account_role=deployment_account_role,
cloudformation=cloudformation)
if region == config.deployment_account_region:
cloudformation.create_iam_stack()
# Updating the stack on the master account in deployment region
cloudformation = CloudFormation(
region=config.deployment_account_region,
deployment_account_region=config.deployment_account_region,
role=boto3,
wait=True,
stack_name=None,
s3=s3,
s3_key_path='adf-build',
account_id=ACCOUNT_ID)
cloudformation.create_stack()
threads = []
account_ids = [
account_id["Id"] for account_id in organizations.get_accounts()
]
for account_id in [
account for account in account_ids
if account != deployment_account_id
]:
thread = PropagatingThread(target=worker_thread,
args=(account_id, sts, config, s3,
cache, kms_and_bucket_dict))
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
LOGGER.info("Executing Step Function on Deployment Account")
step_functions = StepFunctions(
role=deployment_account_role,
deployment_account_id=deployment_account_id,
deployment_account_region=config.deployment_account_region,
regions=config.target_regions,
account_ids=account_ids,
update_pipelines_only=0)
step_functions.execute_statemachine()
except ParameterNotFoundError:
LOGGER.info(
'A Deployment Account is ready to be bootstrapped! '
'The Account provisioner will now kick into action, '
'be sure to check out its progress in AWS Step Functions in this account.'
)
return
def main():
try:
parameter_store = ParameterStore(REGION_DEFAULT, boto3)
deployment_account_id = parameter_store.fetch_parameter(
'deployment_account_id')
config = Config()
config.store_config()
if deployment_account_id is None:
raise NotConfiguredError(
"Deployment Account has not yet been configured")
organizations = Organizations(boto3, deployment_account_id)
sts = STS(boto3)
ou_id = organizations.get_parent_info().get("ou_parent_id")
deployment_account_role = ensure_deployment_account_configured(
sts, config, ou_id, deployment_account_id)
cache = Cache()
account_path = organizations.build_account_path(
ou_id,
[], # Initial empty array to hold OU Path
cache)
s3 = S3(REGION_DEFAULT, boto3, S3_BUCKET)
# (First) Setup the Deployment Account in all regions (KMS Key and S3 Bucket + Parameter Store values)
for region in list(
set([config.deployment_account_region] +
config.target_regions)):
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=deployment_account_role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path=account_path,
file_path=None,
)
cloudformation.create_stack()
update_deployment_account_output_parameters(
deployment_account_region=config.deployment_account_region,
region=region,
deployment_account_role=deployment_account_role,
cloudformation=cloudformation)
threads = []
account_ids = organizations.get_account_ids()
for account_id in account_ids:
t = PropagatingThread(target=worker_thread,
args=(account_id, sts, config, s3, cache))
t.start()
threads.append(t)
for thread in threads:
thread.join()
step_functions = StepFunctions(
role=deployment_account_role,
deployment_account_id=deployment_account_id,
deployment_account_region=config.deployment_account_region,
regions=config.target_regions,
account_ids=[
i for i in account_ids if i != config.deployment_account_region
],
update_pipelines_only=False)
step_functions.execute_statemachine()
except NotConfiguredError as not_configured_error:
LOGGER.info(not_configured_error)
def main(): #pylint: disable=R0915
LOGGER.info("ADF Version %s", ADF_VERSION)
LOGGER.info("ADF Log Level is %s", ADF_LOG_LEVEL)
scp = SCP()
config = Config()
config.store_config()
try:
parameter_store = ParameterStore(REGION_DEFAULT, boto3)
deployment_account_id = parameter_store.fetch_parameter(
'deployment_account_id'
)
organizations = Organizations(
role=boto3,
account_id=deployment_account_id
)
scp.apply(organizations, parameter_store, config.config)
sts = STS()
deployment_account_role = prepare_deployment_account(
sts=sts,
deployment_account_id=deployment_account_id,
config=config
)
cache = Cache()
ou_id = organizations.get_parent_info().get("ou_parent_id")
account_path = organizations.build_account_path(
ou_id=ou_id,
account_path=[],
cache=cache
)
s3 = S3(
region=REGION_DEFAULT,
bucket=S3_BUCKET_NAME
)
# Updating the stack on the master account in deployment region
cloudformation = CloudFormation(
region=config.deployment_account_region,
deployment_account_region=config.deployment_account_region, # pylint: disable=R0801
role=boto3,
wait=True,
stack_name=None,
s3=s3,
s3_key_path='adf-build',
account_id=ACCOUNT_ID
)
cloudformation.create_stack()
# First Setup/Update the Deployment Account in all regions (KMS Key and S3 Bucket + Parameter Store values)
for region in list(set([config.deployment_account_region] + config.target_regions)):
cloudformation = CloudFormation(
region=region,
deployment_account_region=config.deployment_account_region,
role=deployment_account_role,
wait=True,
stack_name=None,
s3=s3,
s3_key_path=account_path,
account_id=deployment_account_id
)
cloudformation.create_stack()
update_deployment_account_output_parameters(
deployment_account_region=config.deployment_account_region,
region=region,
deployment_account_role=deployment_account_role,
cloudformation=cloudformation
)
threads = []
account_ids = organizations.get_account_ids()
for account_id in [account for account in account_ids if account != deployment_account_id]:
thread = PropagatingThread(target=worker_thread, args=(
account_id,
sts,
config,
s3,
cache
))
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
step_functions = StepFunctions(
role=deployment_account_role,
deployment_account_id=deployment_account_id,
deployment_account_region=config.deployment_account_region,
regions=config.target_regions,
account_ids=account_ids,
update_pipelines_only=0
)
step_functions.execute_statemachine()
except ParameterNotFoundError:
LOGGER.info(
'You are now ready to bootstrap a deployment account '
'by moving it into your deployment OU. '
'Once you have moved it into the deployment OU, '
'be sure to check out its progress in AWS Step Functions'
)
return
