def testCheckValidSumAverageArgument(self):
stack = [
util.FieldToken('Year'),
util.FieldToken('Year'),
util.OperatorToken('*', 2),
util.HomomorphicIntToken('Invoice_Price'),
util.OperatorToken('+', 2)
]
expected_stack = [[['Year', 'Year', '*'],
[util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price']],
True, True]
self.assertEqual(interpreter.CheckValidSumAverageArgument(stack),
expected_stack)
stack = [
2,
util.FieldToken('Year'),
util.FieldToken('Year'),
util.OperatorToken('*', 2),
util.HomomorphicIntToken('Invoice_Price'),
util.OperatorToken('+', 2),
util.OperatorToken('*', 2)
]
expected_stack = [[
[2, 'Year', 'Year', '*', '*'],
[2, util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price', '*']
], True, True]
self.assertEqual(interpreter.CheckValidSumAverageArgument(stack),
expected_stack)
stack = [util.ProbabilisticToken('Price')]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.CheckValidSumAverageArgument, stack)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.HomomorphicFloatToken('Holdback_Percentage'),
util.OperatorToken('*', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.CheckValidSumAverageArgument, stack)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.FieldToken('Year'),
util.OperatorToken('*', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.CheckValidSumAverageArgument, stack)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.FieldToken('Year'),
util.OperatorToken('/', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.CheckValidSumAverageArgument, stack)
def testFailOperationsOnEncryptions(self):
schema = test_util.GetCarsSchema()
key = test_util.GetMasterKey()
stack = [
util.PseudonymToken('Year'), 1,
util.OperatorToken('+', 2), 2000,
util.OperatorToken('>=', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
stack = [
util.ProbabilisticToken('Model'), 2,
util.BuiltInFunctionToken('left')
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.BuiltInFunctionToken('is_nan')
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
def RewriteField(field):
"""Rewrite fields for real query with server."""
if not isinstance(field, util.FieldToken):
return field
row = util.GetEntryFromSchema(field, schema)
if not row:
return field
if row['encrypt'].startswith('probabilistic'):
return util.ProbabilisticToken(str(field))
elif row['encrypt'] == 'pseudonym':
return util.PseudonymToken(str(field))
elif row['encrypt'] == 'homomorphic' and row['type'] == 'integer':
return util.HomomorphicIntToken(str(field))
elif row['encrypt'] == 'homomorphic' and row['type'] == 'float':
return util.HomomorphicFloatToken(str(field))
elif row['encrypt'] == 'searchwords':
return util.SearchwordsToken(str(field))
return field
def testRewriteEncryptedFields(self):
queries = [
util.FieldToken('Year'),
util.FieldToken('Model'),
util.FieldToken('Make'),
util.FieldToken('Invoice_Price'),
util.FieldToken('Price'),
util.FieldToken('Website'),
util.FieldToken('Description')
]
rewritten_queries = [
util.FieldToken('Year'),
util.ProbabilisticToken('Model'),
util.PseudonymToken('Make'),
util.HomomorphicIntToken('Invoice_Price'),
util.ProbabilisticToken('Price'),
util.SearchwordsToken('Website'),
util.SearchwordsToken('Description')
]
test_schema = test_util.GetCarsSchema()
new_queries = query_lib._RewriteEncryptedFields([queries], test_schema)
self.assertEqual(new_queries, [rewritten_queries])
def testEncryptedEquality(self):
schema = test_util.GetCarsSchema()
key = test_util.GetMasterKey()
stack = [
util.FieldToken('Year'), 1,
util.OperatorToken('+', 2), 2000,
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'((Year + 1) = 2000)')
stack = [
util.FieldToken('Year'),
util.PseudonymToken('Make'),
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'(Year = ' + util.PSEUDONYM_PREFIX + 'Make)')
stack = [
util.PseudonymToken('Make'),
util.StringLiteralToken('"Hello"'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID), '(' +
util.PSEUDONYM_PREFIX + 'Make == "HS57DHbh2KlkqNJREmu1wQ==")')
stack = [
util.StringLiteralToken('"Hello"'),
util.PseudonymToken('Make'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'("HS57DHbh2KlkqNJREmu1wQ==" == ' + util.PSEUDONYM_PREFIX +
'Make)')
stack = [
util.StringLiteralToken('"Hello"'),
util.PseudonymToken('Make'),
util.OperatorToken('!=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'("HS57DHbh2KlkqNJREmu1wQ==" != ' + util.PSEUDONYM_PREFIX +
'Make)')
stack = [
util.PseudonymToken('Make'),
util.PseudonymToken('Make2'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'(' + util.PSEUDONYM_PREFIX + 'Make == ' + util.PSEUDONYM_PREFIX +
'Make2)')
stack = [
util.HomomorphicIntToken('Invoice_Price'), 2,
util.OperatorToken('==', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
stack = [
util.PseudonymToken('Make'),
util.ProbabilisticToken('Price'),
util.OperatorToken('=', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
schema = test_util.GetPlacesSchema()
stack = [
util.PseudonymToken('spouse.spouseName'),
util.StringLiteralToken('"Hello"'),
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID), '(spouse.' +
util.PSEUDONYM_PREFIX + 'spouseName = "HS57DHbh2KlkqNJREmu1wQ==")')
def testEncryptedEquality(self):
schema = test_util.GetCarsSchema()
key = test_util.GetMasterKey()
stack = [
util.FieldToken('Year'), 1,
util.OperatorToken('+', 2), 2000,
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'((Year + 1) = 2000)')
stack = [
util.FieldToken('Year'),
util.PseudonymToken('Make'),
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'(Year = ' + util.PSEUDONYM_PREFIX + 'Make)')
stack = [
util.PseudonymToken('Make'),
util.StringLiteralToken('"Hello"'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID), '(' +
util.PSEUDONYM_PREFIX + 'Make == "HS57DHbh2KlkqNJREmu1wQ==")')
# begin: tests about 'related' schema option
schema2 = test_util.GetCarsSchema()
for field in schema2:
if field['name'] == 'Make':
field['related'] = 'cars_name'
# value is deterministic calc with related instead of _TABLE_ID
stack = [
util.PseudonymToken('Make', related=_RELATED),
util.StringLiteralToken('"Hello"'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema2, key,
_TABLE_ID), '(' +
util.PSEUDONYM_PREFIX + 'Make == "sspWKAH/NKuUyX8ji1mmSw==")')
# token with related attribute makes no sense if schema doesn't have it
stack = [
util.StringLiteralToken('"Hello"'),
util.PseudonymToken('Make', related=_RELATED),
util.OperatorToken('==', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
# end: tests about 'related' schema option
stack = [
util.StringLiteralToken('"Hello"'),
util.PseudonymToken('Make'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'("HS57DHbh2KlkqNJREmu1wQ==" == ' + util.PSEUDONYM_PREFIX +
'Make)')
stack = [
util.StringLiteralToken('"Hello"'),
util.PseudonymToken('Make'),
util.OperatorToken('!=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'("HS57DHbh2KlkqNJREmu1wQ==" != ' + util.PSEUDONYM_PREFIX +
'Make)')
stack = [
util.PseudonymToken('Make'),
util.PseudonymToken('Make2'),
util.OperatorToken('==', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID),
'(' + util.PSEUDONYM_PREFIX + 'Make == ' + util.PSEUDONYM_PREFIX +
'Make2)')
stack = [
util.HomomorphicIntToken('Invoice_Price'), 2,
util.OperatorToken('==', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
stack = [
util.PseudonymToken('Make'),
util.ProbabilisticToken('Price'),
util.OperatorToken('=', 2)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
interpreter.RewriteSelectionCriteria, stack, schema,
key, _TABLE_ID)
schema = test_util.GetPlacesSchema()
stack = [
util.PseudonymToken('spouse.spouseName'),
util.StringLiteralToken('"Hello"'),
util.OperatorToken('=', 2)
]
self.assertEqual(
interpreter.RewriteSelectionCriteria(stack, schema, key,
_TABLE_ID), '(spouse.' +
util.PSEUDONYM_PREFIX + 'spouseName = "HS57DHbh2KlkqNJREmu1wQ==")')
def testRewriteAggregations(self):
stack = [
util.CountStarToken(),
util.AggregationFunctionToken('COUNT', 1)
]
rewritten_stack = ['COUNT(*)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.ProbabilisticToken('Price'),
util.AggregationFunctionToken('COUNT', 1)
]
rewritten_stack = ['COUNT(' + util.PROBABILISTIC_PREFIX + 'Price)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.ProbabilisticToken('Price'), 4,
util.AggregationFunctionToken('COUNT', 2)
]
rewritten_stack = ['COUNT(' + util.PROBABILISTIC_PREFIX + 'Price, 4)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.FieldToken('Year'), 5,
util.AggregationFunctionToken('DISTINCTCOUNT', 2),
util.FieldToken('Year'),
util.AggregationFunctionToken('COUNT', 1),
util.OperatorToken('+', 2)
]
rewritten_stack = ['COUNT(DISTINCT Year, 5)', 'COUNT(Year)', '+']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
0,
util.BuiltInFunctionToken('cos'),
util.AggregationFunctionToken('COUNT', 1)
]
rewritten_stack = ['COUNT(1.0)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.StringLiteralToken('"Hello"'), 2,
util.BuiltInFunctionToken('left'),
util.StringLiteralToken('"y"'),
util.BuiltInFunctionToken('concat'),
util.AggregationFunctionToken('GROUP_CONCAT', 1)
]
rewritten_stack = ['GROUP_CONCAT("Hey")']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.FieldToken('Year'),
util.FieldToken('Year'),
util.OperatorToken('*', 2),
util.AggregationFunctionToken('SUM', 1)
]
rewritten_stack = ['SUM((Year * Year))']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.AggregationFunctionToken('SUM', 1)
]
rewritten_stack = [
0.0, 'COUNT(' + util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price)',
'*', 1.0, 'TO_BASE64(BYTES(PAILLIER_SUM(FROM_BASE64(' +
util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price), \'0\')))', '*', '+'
]
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.HomomorphicFloatToken('Holdback_Percentage'),
util.AggregationFunctionToken('AVG', 1)
]
rewritten_stack = [
0.0,
'COUNT(' + util.HOMOMORPHIC_FLOAT_PREFIX + 'Holdback_Percentage)',
'*', 1.0, 'TO_BASE64(BYTES(PAILLIER_SUM(FROM_BASE64(' +
util.HOMOMORPHIC_FLOAT_PREFIX + 'Holdback_Percentage), \'0\')))',
'*', '+',
'COUNT(' + util.HOMOMORPHIC_FLOAT_PREFIX + 'Holdback_Percentage)',
'/'
]
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.HomomorphicIntToken('Invoice_Price'), 2,
util.OperatorToken('+', 2), 5,
util.OperatorToken('*', 2),
util.AggregationFunctionToken('SUM', 1)
]
rewritten_stack = [
0.0, 'COUNT(' + util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price)',
'*', 5.0, 'TO_BASE64(BYTES(PAILLIER_SUM(FROM_BASE64(' +
util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price), \'0\')))', '*', '+',
0.0, 'COUNT(' + util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price)',
'*', 1.0, 'SUM((2 * 5))', '*', '+', '+'
]
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.PseudonymToken('Make'), 2,
util.AggregationFunctionToken('DISTINCTCOUNT', 2)
]
rewritten_stack = [
'COUNT(DISTINCT ' + util.PSEUDONYM_PREFIX + 'Make, 2)'
]
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.FieldToken('Year'),
util.AggregationFunctionToken('TOP', 1)
]
rewritten_stack = ['TOP(Year)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.PseudonymToken('Make'), 5, 1,
util.AggregationFunctionToken('TOP', 3)
]
rewritten_stack = ['TOP(' + util.PSEUDONYM_PREFIX + 'Make, 5, 1)']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.FieldToken('Year'),
util.BuiltInFunctionToken('cos'),
util.HomomorphicIntToken('Invoice_Price'),
util.OperatorToken('+', 2),
util.AggregationFunctionToken('SUM', 1)
]
rewritten_stack = [
0.0, 'COUNT(' + util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price)',
'*', 1.0, 'SUM(cos(Year))', '*', '+', 0.0,
'COUNT(' + util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price)', '*',
1.0, 'TO_BASE64(BYTES(PAILLIER_SUM(FROM_BASE64(' +
util.HOMOMORPHIC_INT_PREFIX + 'Invoice_Price),'
' \'0\')))', '*', '+', '+'
]
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.ProbabilisticToken('Model'),
util.AggregationFunctionToken('DISTINCTCOUNT', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.ProbabilisticToken('Price'),
util.AggregationFunctionToken('SUM', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.HomomorphicFloatToken('Holdback_Percentage'),
util.OperatorToken('*', 2),
util.AggregationFunctionToken('SUM', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.HomomorphicFloatToken('Holdback_Percentage'),
util.BuiltInFunctionToken('cos'),
util.AggregationFunctionToken('SUM', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.AggregationFunctionToken('TOP', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.FieldToken('Year'),
util.AggregationFunctionToken('SUM', 1),
util.AggregationFunctionToken('SUM', 1)
]
rewritten_stack = ['SUM(SUM(Year))']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.HomomorphicIntToken('Invoice_Price'),
util.AggregationFunctionToken('SUM', 1),
util.AggregationFunctionToken('SUM', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)
stack = [
util.FieldToken('Year'),
util.AggregationFunctionToken('GROUP_CONCAT', 1),
util.AggregationFunctionToken('GROUP_CONCAT', 1)
]
rewritten_stack = ['GROUP_CONCAT(GROUP_CONCAT(Year))']
self.assertEqual(
query_lib._RewriteAggregations([stack], _TEST_NSQUARE),
[rewritten_stack])
stack = [
util.PseudonymToken('Make'),
util.AggregationFunctionToken('GROUP_CONCAT', 1),
util.AggregationFunctionToken('GROUP_CONCAT', 1)
]
self.assertRaises(bigquery_client.BigqueryInvalidQueryError,
query_lib._RewriteAggregations, [stack],
_TEST_NSQUARE)