af.model package

Subpackages

• af.model.algorithms package
  • Submodules
  • af.model.algorithms.AfManager module
  • af.model.algorithms.BaseAlgorithm module
  • af.model.algorithms.BaseKAlgorithm module
  • af.model.algorithms.Datafly module
  • af.model.algorithms.GeneralizationLatticeGraph module
  • af.model.algorithms.IncognitoK module
  • af.model.algorithms.IncognitoL module
  • Module contents
• af.model.hierarchies package
  • Submodules
  • af.model.hierarchies.BaseHierarchy module
  • af.model.hierarchies.Node module
  • af.model.hierarchies.t_hierarchy module
  • Module contents
• af.model.reports package
  • Subpackages
  • Submodules
  • af.model.reports.TransformationMetrics module
  • Module contents

Submodules

af.model.Attribute module

class af.model.Attribute.Attribute(name=None, basic_type='string', privacy_type='Non-Sensitive', hierarchy=None, weight=1)

Bases: object

Class that models an attribute of a table.

get_hierarchy_representation()

Returns the representation of the attribute hierarchy, if any

Return type:Dictionary representation of hierarchy (None if no hierarchy associated to the attribute)

get_representation()

Returns the representation of the attribute

Return type:Attribute representation in a dictionary form

is_qi_attribute()

Checks if it is a qi attribute

Return type:True if it is a QI attribute, False if not

load_config(config_dict)

Given a configuration, it loads the attribute based on the saved data.

Parameters:config_dict (dict) – Dictionary containing information about the attribute

set_hierarchy(hierarchy_config)

Given a hierarchy configuration, load it and save it to the attribute

Parameters:hierarchy_config (dict) – hierarchy configuration in the form of a dictionary

transform(data, lvl=None)

Transform original data using its particular hierarchy

Parameters:

• data (string) – intended to be modified
• lvl (int) – Level to generalize

Return type:

attribute value generalized to the level required

transform_leaf_nodes(lvl=1)

Get the full transformation of all the leaf nodes for the attribute

Parameters:lvl (int) – Level to generalize Return type:List of transformed values for all leaf nodes

af.model.DataConfig module

class af.model.DataConfig.DataConfig(project=None, location=None, data_type=None, table=None, attributes_list=None, anonymized_db_location=None, anonymized_table=None, metrics_table=None)

Class that models all the project configuration

JSON_KEY = 'data_config'

config_representation(json_repr=True)

Returns the configuration representation

Return type:Representation of the DataConfig in the form of a dictionary

get_normal_type_attributes_list()

Returns those attributes that are neither identifier or qi

Return type:List of attributes not selected as identifier or qi

get_privacy_type_attributes_list(privacy_type='Quasi-Identifier')

Returns those attributes that are of a certain privacy type

Parameters:privacy_type – Privacy type to filter attributes Return type:List of attributes that match with the privacy type

load_config(data_configuration, from_json=True)

Given a configuration, load it into the instance

Parameters:

• data_configuration – Previously saved configuraton that wants to be loaded
• from_json (bool) – Indicates if the configuration comes from a json representation or no

validate_config_to_load(config_dict)

Validate the configuration that is intended to be loaded

Parameters:config_dict (dict) – Dictionary with the data configuration representation

validate_for_anonymization()

Validates the data configuration to check that everything that will be needed for the anonymization process is not missing

Module contents