Source code for deephaven_enterprise.acl_generator

#  Copyright (c) 2016-2023 Deephaven Data Labs and Patent Pending

import jpy
from deephaven.jcompat import j_array_list
from deephaven.table import Table

_j_generator_type = jpy.get_type(
    "io.deephaven.enterprise.acl.AclFilterGenerator")



[docs]
def full_access():
    """
    Create a filter generator that gives full access to the table.

    :return: a generator for full access
    """
    return _j_generator_type.fullAccess()




[docs]
def no_access():
    """
    Create a filter generator that gives no access to the table.

    :return: a generator for no access
    """
    return _j_generator_type.noAccess()




[docs]
def group(group_column: str, matches_set: bool = False):
    """
    Create a filter generator that filters rows based on group data contained within the table.

    :param group_column:  the column containing the group data
    :param matches_set: if the filter should match groups within a column that is a list or array or groups (defaults to False)
    :return: a generator that filters based on group data in the table
    """
    return _j_generator_type.group(group_column, matches_set)




[docs]
def where(*filters: str):
    """
    Create a filter generator from a set of simple where clauses.
    :param filters:  the filters to apply
    :return: a generator that applies the defined clauses
    """
    return _j_generator_type.where(*filters)




[docs]
def where_in(set_namespace: str, set_table_name: str, set_group_column: str, set_filters: list,
             use_historical: bool, *match_expressions: str):
    """
    Create a filter generator that applies a where_in() filter from a "Set" table containing the grouping information

    :param set_namespace:  the namespace of the "Set" table
    :param set_table_name:  the table name of the "Set" table
    :param set_group_column:  the column in the "Set" table containing the group information
    :param set_filters: a set of expressions to filter the "Set" table
    :param use_historical:  if the "Set" table should ceom from the historical data store
    :param match_expressions:  the set of columns to match between the two tables
    :return: a filter generator that creates where_in filters
    """
    return _j_generator_type.whereIn(set_namespace, set_table_name, set_group_column, j_array_list(set_filters),
                                     use_historical, *match_expressions)




[docs]
def where_in_table(set_table: Table, set_group_column: str, set_filters: list, *match_expressions: str):
    """
    Create a filter generator that applies a where_in() filter from a "Set" table containing the grouping information

    :param set_table: the set table
    :param set_group_column:  the column in the "Set" table containing the group information
    :param set_filters: a set of expressions to filter the "Set" table
    :param match_expressions:  the set of columns to match between the two tables
    :return: a filter generator that creates where_in filters
    """
    return _j_generator_type.whereIn(set_table.j_table, set_group_column, j_array_list(set_filters), *match_expressions)




[docs]
def conjunctive(*generators: _j_generator_type):
    """
    Create a filter generator that conjunctively combines the input generators

    :param generators: the generators to combine
    :return: a conjunctive filter generator
    """
    return _j_generator_type.conjunctive(*generators)




[docs]
def disjunctive(*generators: _j_generator_type):
    """
    Create a filter generator that disjunctively combines the input generators

    :param generators: the generators to combine
    :return: a disjunctively filter generator
    """
    return _j_generator_type.disjunctive(*generators)