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License: MIT License
cc_dynamodb using boto3
License: MIT License
YAML parser and emitter for Python
path: /cc_dynamodb3/test_requirements.txt
Library home page: https://files.pythonhosted.org/packages/9e/a3/1d13970c3f36777c583f136c136f804d70f500168edc1edea6daa7200769/PyYAML-3.13.tar.gz
Dependency Hierarchy:
In PyYAML before 4.1, the yaml.load() API could execute arbitrary code. In other words, yaml.safe_load is not used.
Publish Date: 2018-06-27
URL: CVE-2017-18342
Base Score Metrics:
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DynamoDBModel.setattr(), after invoking super, will set the attribute in its 'item' instance variable. Item is used as the basis for constructing the DynamoDB Item and as such, nothing should be added to item that is not defined as a DynamoDBModel field (i.e., exists in 'fields').
Currently, non-field attributes will be written to item, and when the model is saved, those non-field attributes will be attempted to be saved to DynamoDB. This usually (always?) results in an error.
Workaround: Add any non-field attributes to the FIELDS_SAFE_TO_OVERWRITE list for the subclass.
cc_dynamodb3 optimizes the set of changes when updating a DynamoDB Item by observing changes made to fields of the model via __setattr__()
. But if a field is a 'compound' type, such as a Number Set, cc_dynamodb3 doesn't detect that the content of the set has changed. This results in the user of cc_dynamodb3 having to go through some gymnastics to ensure that __setattr__()
gets invoked on the field itself just because the field's content changed.
ClientError: An error occurred (ValidationException) when calling the UpdateTable operation: No Attribute Schema Defined
Traceback:
/code/sync_tables.pyc in create_tables()
20 except cc_dynamodb3.exceptions.TableAlreadyExistsException:
21 try:
---> 22 cc_dynamodb3.table.update_table(table_name=table_name, connection=connection)
23 except cc_dynamodb3.exceptions.UpdateTableException as e:
24 if e.args and 'Mismatched schema' in e.args[0]:
/usr/local/lib/python2.7/site-packages/cc_dynamodb3/table.pyc in update_table(table_name, connection, throughput)
408 print json.dumps(local_global_indexes_by_name, indent=4)
--> 409 db_table.update(GlobalSecondaryIndexUpdates=gsi_updates)
410 log_data('update_table: %s' % table_name, extra=dict(status='updated table',
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