def fields(self, drs: DRS) -> DRS:
"""
Given a DRS, it configures it to field view (default)
:param drs: the DRS to configure
:return: the same DRS in the fields mode
"""
drs.set_fields_mode()
return drs
def schema_neighbors_of(self, i_drs: DRS) -> DRS:
o_drs = DRS([], Operation(OP.NONE))
o_drs = o_drs.absorb_provenance(i_drs)
if i_drs.mode == DRSMode.TABLE:
i_drs.set_fields_mode()
for h in i_drs:
fields_table = self.drs_from_table_hit(h)
i_drs = i_drs.absorb(fields_table)
for h in i_drs:
hits = self.__network.get_hits_from_table(h.source_name)
hits_drs = DRS([x for x in hits], Operation(OP.TABLE, params=[h]))
o_drs = o_drs.absorb(hits_drs)
return o_drs
def test_drs_field_iteration(self):
print(self._testMethodName)
h1 = Hit(0, "dba", "table_a", "a", -1)
h2 = Hit(1, "dba", "table_a", "b", -1)
h3 = Hit(2, "dba", "table_b", "c", -1)
h4 = Hit(3, "dba", "table_b", "d", -1)
drs = DRS([h1, h2, h3, h4], Operation(OP.ORIGIN))
drs.set_fields_mode()
for el in drs:
print(str(el))
self.assertTrue(True)
def similar_content_to(self, i_drs: DRS) -> DRS:
"""
Given a DRS it returns another DRS that contains all fields similar to the fields of the input
:param i_drs: the input DRS
:return: DRS
"""
o_drs = DRS([], Operation(OP.NONE))
o_drs = o_drs.absorb_provenance(i_drs)
if i_drs.mode == DRSMode.TABLE:
i_drs.set_fields_mode()
for h in i_drs:
fields_table = self.drs_from_table_hit(h)
i_drs = i_drs.absorb(fields_table)
for h in i_drs:
hits_drs = self.__network.neighbors_id(h, Relation.CONTENT_SIM)
o_drs = o_drs.absorb(hits_drs)
return o_drs
def pkfk_of(self, i_drs: DRS) -> DRS:
"""
Given a DRS it returns another DRS that contains all fields similar to the fields of the input
:param i_drs: the input DRS
:return: DRS
"""
# alternative provenance propagation
o_drs = DRS([], Operation(OP.NONE))
o_drs = o_drs.absorb_provenance(i_drs)
if i_drs.mode == DRSMode.TABLE:
i_drs.set_fields_mode()
for h in i_drs:
fields_table = self.drs_from_table_hit(h)
i_drs = i_drs.absorb(fields_table)
# o_drs.extend_provenance(fields_drs)
for h in i_drs:
hits_drs = self.__network.neighbors_id(h, Relation.PKFK)
o_drs = o_drs.absorb(hits_drs)
# o_drs.extend_provenance(i_drs)
return o_drs
