def test_save_load_rb_blocker(): #mg.init_jvm() filename = '__mg_obj__.pkl' A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') feature_table = mg.get_features_for_blocking(A, B) rb0 = mg.RuleBasedBlocker() rb0.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) == 1'], feature_table) rb0.add_rule(['birth_year_birth_year_anm(ltuple, rtuple) > 0.95', 'name_name_mel(ltuple, rtuple)> 0.4'], feature_table) C0 = rb0.block_tables(A, B) mg.save_object(rb0, filename) rb1 = mg.load_object(filename) try: os.remove(filename) except OSError: pass assert_equal(type(rb0), type(rb1)) assert_equal(len(rb0.rules), len(rb1.rules)) assert_equal(len(rb0.rule_source), len(rb1.rule_source)) assert_equal(rb0.rule_cnt, rb1.rule_cnt) C1 = rb1.block_tables(A, B) assert_equal(len(C0), len(C1)) assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_rb_block_tables(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule([ 'name_name_mel(ltuple, rtuple) < 0.4', 'birth_year_birth_year_lev(ltuple, rtuple) < 0.5' ], feature_table) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) != 1'], feature_table) C = rb.block_tables(A, B, 'zipcode', 'zipcode') s1 = sorted( ['_id', 'ltable.ID', 'rtable.ID', 'ltable.zipcode', 'rtable.zipcode']) assert_equal(s1, sorted(C.columns)) assert_equal(C.get_key(), '_id') assert_equal(C.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(C.get_property('foreign_key_rtable'), 'rtable.ID') A['dummy'] = 1 B['dummy'] = 1 ab = mg.AttrEquivalenceBlocker() D = ab.block_tables(A, B, 'dummy', 'dummy') fv = mg.extract_feature_vecs(D, feature_table=feature_table) expected_ids = fv.ix[((fv.name_name_mel >= 0.4) | (fv.birth_year_birth_year_lev >= 0.5)) & fv.zipcode_zipcode_exm == 1, [ 'ltable.ID', 'rtable.ID', ]] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list( expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list( actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)
def test_save_load_feature_table(): #mg.init_jvm() filename = '__mg_obj__.pkl' A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') feature_table0 = mg.get_features_for_blocking(A, B) mg.save_object(feature_table0, filename) feature_table1 = mg.load_object(filename) try: os.remove(filename) except OSError: pass assert_equal(type(feature_table0), type(feature_table1)) assert_equal(len(feature_table0), len(feature_table1)) assert sorted(feature_table0.columns) == sorted(feature_table1.columns) ft0_functions = list(feature_table0['function']) ft1_functions = list(feature_table1['function']) for f0, f1 in zip(ft0_functions, ft1_functions): a = f0(A.ix[1], B.ix[2]) b = f1(A.ix[1], B.ix[2]) if math.isnan(a) == False and math.isnan(b) == False: assert_equal(a, b) if math.isnan(a) == True: assert_equal(math.isnan(b), True)
def test_save_load_rb_blocker(): #mg.init_jvm() filename = '__mg_obj__.pkl' A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') feature_table = mg.get_features_for_blocking(A, B) rb0 = mg.RuleBasedBlocker() rb0.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) == 1'], feature_table) rb0.add_rule([ 'birth_year_birth_year_anm(ltuple, rtuple) > 0.95', 'name_name_mel(ltuple, rtuple)> 0.4' ], feature_table) C0 = rb0.block_tables(A, B) mg.save_object(rb0, filename) rb1 = mg.load_object(filename) try: os.remove(filename) except OSError: pass assert_equal(type(rb0), type(rb1)) assert_equal(len(rb0.rules), len(rb1.rules)) assert_equal(len(rb0.rule_source), len(rb1.rule_source)) assert_equal(rb0.rule_cnt, rb1.rule_cnt) C1 = rb1.block_tables(A, B) assert_equal(len(C0), len(C1)) assert_equal(sorted(C0.columns), sorted(C0.columns))
def test_bb_block_tables(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') bb = mg.BlackBoxBlocker() bb.set_black_box_function(block_fn) C = bb.block_tables(A, B, 'zipcode', 'zipcode') s1 = sorted( ['_id', 'ltable.ID', 'rtable.ID', 'ltable.zipcode', 'rtable.zipcode']) assert_equal(s1, sorted(C.columns)) assert_equal(C.get_key(), '_id') assert_equal(C.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(C.get_property('foreign_key_rtable'), 'rtable.ID') feature_table = mg.get_features_for_blocking(A, B) A['dummy'] = 1 B['dummy'] = 1 ab = mg.AttrEquivalenceBlocker() D = ab.block_tables(A, B, 'dummy', 'dummy') fv = mg.extract_feature_vecs(D, feature_table=feature_table) expected_ids = fv.ix[(fv.name_name_mel >= 0.4), ['ltable.ID', 'rtable.ID']] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list( expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list( actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)
def test_rb_block_tables(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule(['name_name_mel(ltuple, rtuple) < 0.4', 'birth_year_birth_year_lev(ltuple, rtuple) < 0.5'], feature_table) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) != 1'], feature_table) C = rb.block_tables(A, B, 'zipcode', 'zipcode') s1 = sorted(['_id', 'ltable.ID', 'rtable.ID', 'ltable.zipcode', 'rtable.zipcode']) assert_equal(s1, sorted(C.columns)) assert_equal(C.get_key(), '_id') assert_equal(C.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(C.get_property('foreign_key_rtable'), 'rtable.ID') A['dummy'] = 1 B['dummy'] = 1 ab = mg.AttrEquivalenceBlocker() D = ab.block_tables(A, B, 'dummy','dummy') fv = mg.extract_feature_vecs(D, feature_table=feature_table) expected_ids = fv.ix[((fv.name_name_mel >= 0.4) | (fv.birth_year_birth_year_lev >= 0.5)) & fv.zipcode_zipcode_exm == 1 , ['ltable.ID', 'rtable.ID', ]] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list(expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list(actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)
def test_rb_block_tables_wi_no_tuples(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) >= 0'], feature_table) C = rb.block_tables(A, B) assert_equal(len(C), 0) assert_equal(sorted(C.columns), sorted(['_id', 'ltable.ID', 'rtable.ID'])) assert_equal(C.get_key(), '_id') assert_equal(C.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(C.get_property('foreign_key_rtable'), 'rtable.ID')
def test_rb_block_tuples(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule([ 'name_name_mel(ltuple, rtuple) < 0.4', 'birth_year_birth_year_lev(ltuple, rtuple) < 0.5' ], feature_table) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) != 1'], feature_table) assert_equal(rb.block_tuples(A.ix[0], B.ix[0]), False) assert_equal(rb.block_tuples(A.ix[1], B.ix[1]), True)
def test_rb_block_tuples(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule(['name_name_mel(ltuple, rtuple) < 0.4', 'birth_year_birth_year_lev(ltuple, rtuple) < 0.5'], feature_table) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) != 1'], feature_table) assert_equal(rb.block_tuples(A.ix[0], B.ix[0]), False) assert_equal(rb.block_tuples(A.ix[1], B.ix[1]), True)
def test_rb_block_candset_wi_no_tuples(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') ab = mg.AttrEquivalenceBlocker() C = ab.block_tables(A, B, 'birth_year', 'birth_year') rb = mg.RuleBasedBlocker() feature_table = mg.get_features_for_blocking(A, B) rb.add_rule(['zipcode_zipcode_exm(ltuple, rtuple) >= 0'], feature_table) D = rb.block_candset(C) assert_equal(len(D), 0) assert_equal(sorted(D.columns), sorted(['_id', 'ltable.ID', 'rtable.ID'])) assert_equal(D.get_key(), '_id') assert_equal(D.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(D.get_property('foreign_key_rtable'), 'rtable.ID')
def test_bb_block_candset(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') ab = mg.AttrEquivalenceBlocker() E = ab.block_tables(A, B, 'zipcode', 'zipcode') bb = mg.BlackBoxBlocker() bb.set_black_box_function(block_fn) C = bb.block_candset(E) feature_table = mg.get_features_for_blocking(A, B) fv = mg.extract_feature_vecs(C, feature_table=feature_table) expected_ids = fv.ix[(fv.name_name_mel >= 0.4) , ['ltable.ID', 'rtable.ID']] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list(expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list(actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)
def test_bb_block_candset(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') ab = mg.AttrEquivalenceBlocker() E = ab.block_tables(A, B, 'zipcode', 'zipcode') bb = mg.BlackBoxBlocker() bb.set_black_box_function(block_fn) C = bb.block_candset(E) feature_table = mg.get_features_for_blocking(A, B) fv = mg.extract_feature_vecs(C, feature_table=feature_table) expected_ids = fv.ix[(fv.name_name_mel >= 0.4), ['ltable.ID', 'rtable.ID']] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list( expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list( actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)
def test_bb_block_tables(): A = mg.load_dataset('table_A') B = mg.load_dataset('table_B') bb = mg.BlackBoxBlocker() bb.set_black_box_function(block_fn) C = bb.block_tables(A, B, 'zipcode', 'zipcode') s1 = sorted(['_id', 'ltable.ID', 'rtable.ID', 'ltable.zipcode', 'rtable.zipcode']) assert_equal(s1, sorted(C.columns)) assert_equal(C.get_key(), '_id') assert_equal(C.get_property('foreign_key_ltable'), 'ltable.ID') assert_equal(C.get_property('foreign_key_rtable'), 'rtable.ID') feature_table = mg.get_features_for_blocking(A, B) A['dummy'] = 1 B['dummy'] = 1 ab = mg.AttrEquivalenceBlocker() D = ab.block_tables(A, B, 'dummy','dummy') fv = mg.extract_feature_vecs(D, feature_table=feature_table) expected_ids = fv.ix[(fv.name_name_mel >= 0.4) , ['ltable.ID', 'rtable.ID']] actual_ids = C[['ltable.ID', 'rtable.ID']] ids_exp = list(expected_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) ids_act = list(actual_ids.set_index(['ltable.ID', 'rtable.ID']).index.values) assert_equal(cmp(ids_exp, ids_act), 0)