cshenrik commented on code in PR #1299:
URL: https://github.com/apache/iceberg-python/pull/1299#discussion_r1831036603
##########
pyiceberg/catalog/glue.py:
##########
@@ -296,13 +306,48 @@ class GlueCatalog(MetastoreCatalog):
def __init__(self, name: str, **properties: Any):
super().__init__(name, **properties)
+ credentials = Credentials(
+ access_key=get_first_property_value(properties,
GLUE_ACCESS_KEY_ID, AWS_ACCESS_KEY_ID),
+ secret_key=get_first_property_value(properties,
GLUE_SECRET_ACCESS_KEY, AWS_SECRET_ACCESS_KEY),
+ token=get_first_property_value(properties, GLUE_SESSION_TOKEN,
AWS_SESSION_TOKEN),
+ )
+
session = boto3.Session(
profile_name=properties.get(GLUE_PROFILE_NAME),
region_name=get_first_property_value(properties, GLUE_REGION,
AWS_REGION),
- aws_access_key_id=get_first_property_value(properties,
GLUE_ACCESS_KEY_ID, AWS_ACCESS_KEY_ID),
- aws_secret_access_key=get_first_property_value(properties,
GLUE_SECRET_ACCESS_KEY, AWS_SECRET_ACCESS_KEY),
- aws_session_token=get_first_property_value(properties,
GLUE_SESSION_TOKEN, AWS_SESSION_TOKEN),
+ aws_access_key_id=credentials.access_key,
+ aws_secret_access_key=credentials.secret_key,
+ aws_session_token=credentials.token,
)
+
+ if role_arn := get_first_property_value(properties, GLUE_ROLE_ARN,
AWS_ROLE_ARN):
+ extra_args = {}
+ if role_session_name := get_first_property_value(properties,
GLUE_ROLE_SESSION_NAME, AWS_ROLE_SESSION_NAME):
+ extra_args["RoleSessionName"] = role_session_name
+
+ fetcher = AssumeRoleCredentialFetcher(
+ client_creator=session.client,
+ source_credentials=credentials,
+ role_arn=role_arn,
+ extra_args=extra_args,
+ )
+ refreshable_credentials = DeferredRefreshableCredentials(
+ method="assume-role",
+ refresh_using=fetcher.fetch_credentials,
+ )
+ from botocore.session import Session as BotoSession
+
+ botocore_session = BotoSession()
Review Comment:
How about accepting a boto3.Session as input? Then the client can configure
it as needed.
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