| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| import unittest |
| |
| import datetime |
| import tempfile |
| import time |
| import uuid |
| from binascii import unhexlify |
| |
| import cassandra |
| from cassandra import util |
| from cassandra.cqltypes import ( |
| CassandraType, DateRangeType, DateType, DecimalType, |
| EmptyValue, LongType, SetType, UTF8Type, |
| cql_typename, int8_pack, int64_pack, lookup_casstype, |
| lookup_casstype_simple, parse_casstype_args, |
| int32_pack, Int32Type, ListType, MapType, VectorType, |
| FloatType |
| ) |
| from cassandra.encoder import cql_quote |
| from cassandra.pool import Host |
| from cassandra.metadata import Token |
| from cassandra.policies import ConvictionPolicy, SimpleConvictionPolicy |
| from cassandra.protocol import ( |
| read_inet, read_longstring, read_string, |
| read_stringmap, write_inet, write_longstring, |
| write_string, write_stringmap |
| ) |
| from cassandra.query import named_tuple_factory |
| from cassandra.util import ( |
| OPEN_BOUND, Date, DateRange, DateRangeBound, |
| DateRangePrecision, Time, ms_timestamp_from_datetime, |
| datetime_from_timestamp |
| ) |
| from tests.unit.util import check_sequence_consistency |
| |
| |
| class TypeTests(unittest.TestCase): |
| |
| def test_lookup_casstype_simple(self): |
| """ |
| Ensure lookup_casstype_simple returns the correct classes |
| """ |
| |
| self.assertEqual(lookup_casstype_simple('AsciiType'), cassandra.cqltypes.AsciiType) |
| self.assertEqual(lookup_casstype_simple('LongType'), cassandra.cqltypes.LongType) |
| self.assertEqual(lookup_casstype_simple('BytesType'), cassandra.cqltypes.BytesType) |
| self.assertEqual(lookup_casstype_simple('BooleanType'), cassandra.cqltypes.BooleanType) |
| self.assertEqual(lookup_casstype_simple('CounterColumnType'), cassandra.cqltypes.CounterColumnType) |
| self.assertEqual(lookup_casstype_simple('DecimalType'), cassandra.cqltypes.DecimalType) |
| self.assertEqual(lookup_casstype_simple('DoubleType'), cassandra.cqltypes.DoubleType) |
| self.assertEqual(lookup_casstype_simple('FloatType'), cassandra.cqltypes.FloatType) |
| self.assertEqual(lookup_casstype_simple('InetAddressType'), cassandra.cqltypes.InetAddressType) |
| self.assertEqual(lookup_casstype_simple('Int32Type'), cassandra.cqltypes.Int32Type) |
| self.assertEqual(lookup_casstype_simple('UTF8Type'), cassandra.cqltypes.UTF8Type) |
| self.assertEqual(lookup_casstype_simple('DateType'), cassandra.cqltypes.DateType) |
| self.assertEqual(lookup_casstype_simple('SimpleDateType'), cassandra.cqltypes.SimpleDateType) |
| self.assertEqual(lookup_casstype_simple('ByteType'), cassandra.cqltypes.ByteType) |
| self.assertEqual(lookup_casstype_simple('ShortType'), cassandra.cqltypes.ShortType) |
| self.assertEqual(lookup_casstype_simple('TimeUUIDType'), cassandra.cqltypes.TimeUUIDType) |
| self.assertEqual(lookup_casstype_simple('TimeType'), cassandra.cqltypes.TimeType) |
| self.assertEqual(lookup_casstype_simple('UUIDType'), cassandra.cqltypes.UUIDType) |
| self.assertEqual(lookup_casstype_simple('IntegerType'), cassandra.cqltypes.IntegerType) |
| self.assertEqual(lookup_casstype_simple('MapType'), cassandra.cqltypes.MapType) |
| self.assertEqual(lookup_casstype_simple('ListType'), cassandra.cqltypes.ListType) |
| self.assertEqual(lookup_casstype_simple('SetType'), cassandra.cqltypes.SetType) |
| self.assertEqual(lookup_casstype_simple('CompositeType'), cassandra.cqltypes.CompositeType) |
| self.assertEqual(lookup_casstype_simple('ColumnToCollectionType'), cassandra.cqltypes.ColumnToCollectionType) |
| self.assertEqual(lookup_casstype_simple('ReversedType'), cassandra.cqltypes.ReversedType) |
| self.assertEqual(lookup_casstype_simple('DurationType'), cassandra.cqltypes.DurationType) |
| self.assertEqual(lookup_casstype_simple('DateRangeType'), cassandra.cqltypes.DateRangeType) |
| |
| self.assertEqual(str(lookup_casstype_simple('unknown')), str(cassandra.cqltypes.mkUnrecognizedType('unknown'))) |
| |
| def test_lookup_casstype(self): |
| """ |
| Ensure lookup_casstype returns the correct classes |
| """ |
| |
| self.assertEqual(lookup_casstype('AsciiType'), cassandra.cqltypes.AsciiType) |
| self.assertEqual(lookup_casstype('LongType'), cassandra.cqltypes.LongType) |
| self.assertEqual(lookup_casstype('BytesType'), cassandra.cqltypes.BytesType) |
| self.assertEqual(lookup_casstype('BooleanType'), cassandra.cqltypes.BooleanType) |
| self.assertEqual(lookup_casstype('CounterColumnType'), cassandra.cqltypes.CounterColumnType) |
| self.assertEqual(lookup_casstype('DateType'), cassandra.cqltypes.DateType) |
| self.assertEqual(lookup_casstype('DecimalType'), cassandra.cqltypes.DecimalType) |
| self.assertEqual(lookup_casstype('DoubleType'), cassandra.cqltypes.DoubleType) |
| self.assertEqual(lookup_casstype('FloatType'), cassandra.cqltypes.FloatType) |
| self.assertEqual(lookup_casstype('InetAddressType'), cassandra.cqltypes.InetAddressType) |
| self.assertEqual(lookup_casstype('Int32Type'), cassandra.cqltypes.Int32Type) |
| self.assertEqual(lookup_casstype('UTF8Type'), cassandra.cqltypes.UTF8Type) |
| self.assertEqual(lookup_casstype('DateType'), cassandra.cqltypes.DateType) |
| self.assertEqual(lookup_casstype('TimeType'), cassandra.cqltypes.TimeType) |
| self.assertEqual(lookup_casstype('ByteType'), cassandra.cqltypes.ByteType) |
| self.assertEqual(lookup_casstype('ShortType'), cassandra.cqltypes.ShortType) |
| self.assertEqual(lookup_casstype('TimeUUIDType'), cassandra.cqltypes.TimeUUIDType) |
| self.assertEqual(lookup_casstype('UUIDType'), cassandra.cqltypes.UUIDType) |
| self.assertEqual(lookup_casstype('IntegerType'), cassandra.cqltypes.IntegerType) |
| self.assertEqual(lookup_casstype('MapType'), cassandra.cqltypes.MapType) |
| self.assertEqual(lookup_casstype('ListType'), cassandra.cqltypes.ListType) |
| self.assertEqual(lookup_casstype('SetType'), cassandra.cqltypes.SetType) |
| self.assertEqual(lookup_casstype('CompositeType'), cassandra.cqltypes.CompositeType) |
| self.assertEqual(lookup_casstype('ColumnToCollectionType'), cassandra.cqltypes.ColumnToCollectionType) |
| self.assertEqual(lookup_casstype('ReversedType'), cassandra.cqltypes.ReversedType) |
| self.assertEqual(lookup_casstype('DurationType'), cassandra.cqltypes.DurationType) |
| self.assertEqual(lookup_casstype('DateRangeType'), cassandra.cqltypes.DateRangeType) |
| |
| self.assertEqual(str(lookup_casstype('unknown')), str(cassandra.cqltypes.mkUnrecognizedType('unknown'))) |
| |
| self.assertRaises(ValueError, lookup_casstype, 'AsciiType~') |
| |
| def test_casstype_parameterized(self): |
| self.assertEqual(LongType.cass_parameterized_type_with(()), 'LongType') |
| self.assertEqual(LongType.cass_parameterized_type_with((), full=True), 'org.apache.cassandra.db.marshal.LongType') |
| self.assertEqual(SetType.cass_parameterized_type_with([DecimalType], full=True), 'org.apache.cassandra.db.marshal.SetType(org.apache.cassandra.db.marshal.DecimalType)') |
| |
| self.assertEqual(LongType.cql_parameterized_type(), 'bigint') |
| |
| subtypes = (cassandra.cqltypes.UTF8Type, cassandra.cqltypes.UTF8Type) |
| self.assertEqual('map<text, text>', |
| cassandra.cqltypes.MapType.apply_parameters(subtypes).cql_parameterized_type()) |
| |
| def test_datetype_from_string(self): |
| # Ensure all formats can be parsed, without exception |
| for format in cassandra.cqltypes.cql_timestamp_formats: |
| date_string = str(datetime.datetime.now().strftime(format)) |
| cassandra.cqltypes.DateType.interpret_datestring(date_string) |
| |
| def test_cql_typename(self): |
| """ |
| Smoke test cql_typename |
| """ |
| |
| self.assertEqual(cql_typename('DateType'), 'timestamp') |
| self.assertEqual(cql_typename('org.apache.cassandra.db.marshal.ListType(IntegerType)'), 'list<varint>') |
| |
| def test_named_tuple_colname_substitution(self): |
| colnames = ("func(abc)", "[applied]", "func(func(abc))", "foo_bar", "foo_bar_") |
| rows = [(1, 2, 3, 4, 5)] |
| result = named_tuple_factory(colnames, rows)[0] |
| self.assertEqual(result[0], result.func_abc) |
| self.assertEqual(result[1], result.applied) |
| self.assertEqual(result[2], result.func_func_abc) |
| self.assertEqual(result[3], result.foo_bar) |
| self.assertEqual(result[4], result.foo_bar_) |
| |
| def test_parse_casstype_args(self): |
| class FooType(CassandraType): |
| typename = 'org.apache.cassandra.db.marshal.FooType' |
| |
| def __init__(self, subtypes, names): |
| self.subtypes = subtypes |
| self.names = names |
| |
| @classmethod |
| def apply_parameters(cls, subtypes, names): |
| return cls(subtypes, [unhexlify(name.encode()) if name is not None else name for name in names]) |
| |
| class BarType(FooType): |
| typename = 'org.apache.cassandra.db.marshal.BarType' |
| |
| ctype = parse_casstype_args(''.join(( |
| 'org.apache.cassandra.db.marshal.FooType(', |
| '63697479:org.apache.cassandra.db.marshal.UTF8Type,', |
| 'BarType(61646472657373:org.apache.cassandra.db.marshal.UTF8Type),', |
| '7a6970:org.apache.cassandra.db.marshal.UTF8Type', |
| ')'))) |
| |
| self.assertEqual(FooType, ctype.__class__) |
| |
| self.assertEqual(UTF8Type, ctype.subtypes[0]) |
| |
| # middle subtype should be a BarType instance with its own subtypes and names |
| self.assertIsInstance(ctype.subtypes[1], BarType) |
| self.assertEqual([UTF8Type], ctype.subtypes[1].subtypes) |
| self.assertEqual([b"address"], ctype.subtypes[1].names) |
| |
| self.assertEqual(UTF8Type, ctype.subtypes[2]) |
| self.assertEqual([b'city', None, b'zip'], ctype.names) |
| |
| def test_parse_casstype_vector(self): |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 3)") |
| self.assertTrue(issubclass(ctype, VectorType)) |
| self.assertEqual(3, ctype.vector_size) |
| self.assertEqual(FloatType, ctype.subtype) |
| |
| def test_parse_casstype_vector_of_vectors(self): |
| inner_type = "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)" |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(%s, 3)" % (inner_type)) |
| self.assertTrue(issubclass(ctype, VectorType)) |
| self.assertEqual(3, ctype.vector_size) |
| sub_ctype = ctype.subtype |
| self.assertTrue(issubclass(sub_ctype, VectorType)) |
| self.assertEqual(4, sub_ctype.vector_size) |
| self.assertEqual(FloatType, sub_ctype.subtype) |
| |
| def test_empty_value(self): |
| self.assertEqual(str(EmptyValue()), 'EMPTY') |
| |
| def test_datetype(self): |
| now_time_seconds = time.time() |
| now_datetime = datetime.datetime.fromtimestamp(now_time_seconds, tz=datetime.timezone.utc) |
| |
| # Cassandra timestamps in millis |
| now_timestamp = now_time_seconds * 1e3 |
| |
| # same results serialized |
| self.assertEqual(DateType.serialize(now_datetime, 0), DateType.serialize(now_timestamp, 0)) |
| |
| # deserialize |
| # epoc |
| expected = 0 |
| self.assertEqual(DateType.deserialize(int64_pack(1000 * expected), 0), datetime.datetime.fromtimestamp(expected, tz=datetime.timezone.utc).replace(tzinfo=None)) |
| |
| # beyond 32b |
| expected = 2 ** 33 |
| self.assertEqual(DateType.deserialize(int64_pack(1000 * expected), 0), datetime.datetime(2242, 3, 16, 12, 56, 32, tzinfo=datetime.timezone.utc).replace(tzinfo=None)) |
| |
| # less than epoc (PYTHON-119) |
| expected = -770172256 |
| self.assertEqual(DateType.deserialize(int64_pack(1000 * expected), 0), datetime.datetime(1945, 8, 5, 23, 15, 44, tzinfo=datetime.timezone.utc).replace(tzinfo=None)) |
| |
| # work around rounding difference among Python versions (PYTHON-230) |
| expected = 1424817268.274 |
| self.assertEqual(DateType.deserialize(int64_pack(int(1000 * expected)), 0), datetime.datetime(2015, 2, 24, 22, 34, 28, 274000, tzinfo=datetime.timezone.utc).replace(tzinfo=None)) |
| |
| # Large date overflow (PYTHON-452) |
| expected = 2177403010.123 |
| self.assertEqual(DateType.deserialize(int64_pack(int(1000 * expected)), 0), datetime.datetime(2038, 12, 31, 10, 10, 10, 123000, tzinfo=datetime.timezone.utc).replace(tzinfo=None)) |
| |
| def test_collection_null_support(self): |
| """ |
| Test that null values in collection are decoded properly. |
| |
| @jira_ticket PYTHON-1123 |
| """ |
| int_list = ListType.apply_parameters([Int32Type]) |
| value = ( |
| int32_pack(2) + # num items |
| int32_pack(-1) + # size of item1 |
| int32_pack(4) + # size of item2 |
| int32_pack(42) # item2 |
| ) |
| self.assertEqual( |
| [None, 42], |
| int_list.deserialize(value, 3) |
| ) |
| |
| set_list = SetType.apply_parameters([Int32Type]) |
| self.assertEqual( |
| {None, 42}, |
| set(set_list.deserialize(value, 3)) |
| ) |
| |
| value = ( |
| int32_pack(2) + # num items |
| int32_pack(4) + # key size of item1 |
| int32_pack(42) + # key item1 |
| int32_pack(-1) + # value size of item1 |
| int32_pack(-1) + # key size of item2 |
| int32_pack(4) + # value size of item2 |
| int32_pack(42) # value of item2 |
| ) |
| |
| map_list = MapType.apply_parameters([Int32Type, Int32Type]) |
| self.assertEqual( |
| [(42, None), (None, 42)], |
| map_list.deserialize(value, 3)._items # OrderedMapSerializedKey |
| ) |
| |
| def test_write_read_string(self): |
| with tempfile.TemporaryFile() as f: |
| value = u'test' |
| write_string(f, value) |
| f.seek(0) |
| self.assertEqual(read_string(f), value) |
| |
| def test_write_read_longstring(self): |
| with tempfile.TemporaryFile() as f: |
| value = u'test' |
| write_longstring(f, value) |
| f.seek(0) |
| self.assertEqual(read_longstring(f), value) |
| |
| def test_write_read_stringmap(self): |
| with tempfile.TemporaryFile() as f: |
| value = {'key': 'value'} |
| write_stringmap(f, value) |
| f.seek(0) |
| self.assertEqual(read_stringmap(f), value) |
| |
| def test_write_read_inet(self): |
| with tempfile.TemporaryFile() as f: |
| value = ('192.168.1.1', 9042) |
| write_inet(f, value) |
| f.seek(0) |
| self.assertEqual(read_inet(f), value) |
| |
| with tempfile.TemporaryFile() as f: |
| value = ('2001:db8:0:f101::1', 9042) |
| write_inet(f, value) |
| f.seek(0) |
| self.assertEqual(read_inet(f), value) |
| |
| def test_cql_quote(self): |
| self.assertEqual(cql_quote(u'test'), "'test'") |
| self.assertEqual(cql_quote('test'), "'test'") |
| self.assertEqual(cql_quote(0), '0') |
| |
| |
| class VectorTests(unittest.TestCase): |
| def _normalize_set(self, val): |
| if isinstance(val, set) or isinstance(val, util.SortedSet): |
| return frozenset([self._normalize_set(v) for v in val]) |
| return val |
| |
| def _round_trip_compare_fn(self, first, second): |
| if isinstance(first, float): |
| self.assertAlmostEqual(first, second, places=5) |
| elif isinstance(first, list): |
| self.assertEqual(len(first), len(second)) |
| for (felem, selem) in zip(first, second): |
| self._round_trip_compare_fn(felem, selem) |
| elif isinstance(first, set) or isinstance(first, frozenset): |
| self.assertEqual(len(first), len(second)) |
| first_norm = self._normalize_set(first) |
| second_norm = self._normalize_set(second) |
| self.assertEqual(first_norm, second_norm) |
| elif isinstance(first, dict): |
| for ((fk,fv), (sk,sv)) in zip(first.items(), second.items()): |
| self._round_trip_compare_fn(fk, sk) |
| self._round_trip_compare_fn(fv, sv) |
| else: |
| self.assertEqual(first,second) |
| |
| def _round_trip_test(self, data, ctype_str): |
| ctype = parse_casstype_args(ctype_str) |
| data_bytes = ctype.serialize(data, 0) |
| serialized_size = ctype.subtype.serial_size() |
| if serialized_size: |
| self.assertEqual(serialized_size * len(data), len(data_bytes)) |
| result = ctype.deserialize(data_bytes, 0) |
| self.assertEqual(len(data), len(result)) |
| for idx in range(0,len(data)): |
| self._round_trip_compare_fn(data[idx], result[idx]) |
| |
| def test_round_trip_basic_types_with_fixed_serialized_size(self): |
| self._round_trip_test([True, False, False, True], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.BooleanType, 4)") |
| self._round_trip_test([3.4, 2.9, 41.6, 12.0], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)") |
| self._round_trip_test([3.4, 2.9, 41.6, 12.0], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.DoubleType, 4)") |
| self._round_trip_test([3, 2, 41, 12], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.LongType, 4)") |
| self._round_trip_test([3, 2, 41, 12], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.Int32Type, 4)") |
| self._round_trip_test([uuid.uuid1(), uuid.uuid1(), uuid.uuid1(), uuid.uuid1()], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.TimeUUIDType, 4)") |
| self._round_trip_test([3, 2, 41, 12], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.ShortType, 4)") |
| |
| def test_round_trip_basic_types_without_fixed_serialized_size(self): |
| # Varints |
| self._round_trip_test([3, 2, 41, 12], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 4)") |
| # ASCII text |
| self._round_trip_test(["abc", "def", "ghi", "jkl"], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.AsciiType, 4)") |
| # UTF8 text |
| self._round_trip_test(["abc", "def", "ghi", "jkl"], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.UTF8Type, 4)") |
| # Time is something of a weird one. By rights, it should be a fixed size type but C* code marks it as variable |
| # size. We're forced to follow the C* code base (since that's who'll be providing the data we're parsing) so |
| # we match what they're doing. |
| self._round_trip_test([datetime.time(1,1,1), datetime.time(2,2,2), datetime.time(3,3,3)], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.TimeType, 3)") |
| # Duration (contains varints) |
| self._round_trip_test([util.Duration(1,1,1), util.Duration(2,2,2), util.Duration(3,3,3)], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.DurationType, 3)") |
| |
| def test_round_trip_collection_types(self): |
| # List (subtype of fixed size) |
| self._round_trip_test([[1, 2, 3, 4], [5, 6], [7, 8, 9, 10], [11, 12]], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.ListType \ |
| (org.apache.cassandra.db.marshal.Int32Type), 4)") |
| # Set (subtype of fixed size) |
| self._round_trip_test([set([1, 2, 3, 4]), set([5, 6]), set([7, 8, 9, 10]), set([11, 12])], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.SetType \ |
| (org.apache.cassandra.db.marshal.Int32Type), 4)") |
| # Map (subtype of fixed size) |
| self._round_trip_test([{1:1.2}, {2:3.4}, {3:5.6}, {4:7.8}], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.MapType \ |
| (org.apache.cassandra.db.marshal.Int32Type,org.apache.cassandra.db.marshal.FloatType), 4)") |
| # List (subtype without fixed size) |
| self._round_trip_test([["one","two"], ["three","four"], ["five","six"], ["seven","eight"]], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.ListType \ |
| (org.apache.cassandra.db.marshal.AsciiType), 4)") |
| # Set (subtype without fixed size) |
| self._round_trip_test([set(["one","two"]), set(["three","four"]), set(["five","six"]), set(["seven","eight"])], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.SetType \ |
| (org.apache.cassandra.db.marshal.AsciiType), 4)") |
| # Map (subtype without fixed size) |
| self._round_trip_test([{1:"one"}, {2:"two"}, {3:"three"}, {4:"four"}], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.MapType \ |
| (org.apache.cassandra.db.marshal.IntegerType,org.apache.cassandra.db.marshal.AsciiType), 4)") |
| # List of lists (subtype without fixed size) |
| data = [[["one","two"],["three"]], [["four"],["five"]], [["six","seven","eight"]], [["nine"]]] |
| ctype = "org.apache.cassandra.db.marshal.VectorType\ |
| (org.apache.cassandra.db.marshal.ListType\ |
| (org.apache.cassandra.db.marshal.ListType\ |
| (org.apache.cassandra.db.marshal.AsciiType)), 4)" |
| self._round_trip_test(data, ctype) |
| # Set of sets (subtype without fixed size) |
| data = [set([frozenset(["one","two"]),frozenset(["three"])]),\ |
| set([frozenset(["four"]),frozenset(["five"])]),\ |
| set([frozenset(["six","seven","eight"])]), |
| set([frozenset(["nine"])])] |
| ctype = "org.apache.cassandra.db.marshal.VectorType\ |
| (org.apache.cassandra.db.marshal.SetType\ |
| (org.apache.cassandra.db.marshal.SetType\ |
| (org.apache.cassandra.db.marshal.AsciiType)), 4)" |
| self._round_trip_test(data, ctype) |
| # Map of maps (subtype without fixed size) |
| data = [{100:{1:"one",2:"two",3:"three"}},\ |
| {200:{4:"four",5:"five"}},\ |
| {300:{}},\ |
| {400:{6:"six"}}] |
| ctype = "org.apache.cassandra.db.marshal.VectorType\ |
| (org.apache.cassandra.db.marshal.MapType\ |
| (org.apache.cassandra.db.marshal.Int32Type,\ |
| org.apache.cassandra.db.marshal.MapType \ |
| (org.apache.cassandra.db.marshal.IntegerType,org.apache.cassandra.db.marshal.AsciiType)), 4)" |
| self._round_trip_test(data, ctype) |
| |
| def test_round_trip_vector_of_vectors(self): |
| # Subytpes of subtypes with a fixed size |
| self._round_trip_test([[1.2, 3.4], [5.6, 7.8], [9.10, 11.12], [13.14, 15.16]], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.VectorType \ |
| (org.apache.cassandra.db.marshal.FloatType,2), 4)") |
| |
| # Subytpes of subtypes without a fixed size |
| self._round_trip_test([["one", "two"], ["three", "four"], ["five", "six"], ["seven", "eight"]], \ |
| "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.VectorType \ |
| (org.apache.cassandra.db.marshal.AsciiType,2), 4)") |
| |
| # parse_casstype_args() is tested above... we're explicitly concerned about cql_parameterized_type() output here |
| def test_cql_parameterized_type(self): |
| # Base vector functionality |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)") |
| self.assertEqual(ctype.cql_parameterized_type(), "org.apache.cassandra.db.marshal.VectorType<float, 4>") |
| |
| # Test vector-of-vectors |
| inner_type = "org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)" |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(%s, 3)" % (inner_type)) |
| inner_parsed_type = "org.apache.cassandra.db.marshal.VectorType<float, 4>" |
| self.assertEqual(ctype.cql_parameterized_type(), "org.apache.cassandra.db.marshal.VectorType<%s, 3>" % (inner_parsed_type)) |
| |
| def test_serialization_fixed_size_too_small(self): |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 5)") |
| with self.assertRaisesRegex(ValueError, "Expected sequence of size 5 for vector of type float and dimension 5, observed sequence of length 4"): |
| ctype.serialize([1.2, 3.4, 5.6, 7.8], 0) |
| |
| def test_serialization_fixed_size_too_big(self): |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)") |
| with self.assertRaisesRegex(ValueError, "Expected sequence of size 4 for vector of type float and dimension 4, observed sequence of length 5"): |
| ctype.serialize([1.2, 3.4, 5.6, 7.8, 9.10], 0) |
| |
| def test_serialization_variable_size_too_small(self): |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 5)") |
| with self.assertRaisesRegex(ValueError, "Expected sequence of size 5 for vector of type varint and dimension 5, observed sequence of length 4"): |
| ctype.serialize([1, 2, 3, 4], 0) |
| |
| def test_serialization_variable_size_too_big(self): |
| ctype = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 4)") |
| with self.assertRaisesRegex(ValueError, "Expected sequence of size 4 for vector of type varint and dimension 4, observed sequence of length 5"): |
| ctype.serialize([1, 2, 3, 4, 5], 0) |
| |
| def test_deserialization_fixed_size_too_small(self): |
| ctype_four = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)") |
| ctype_four_bytes = ctype_four.serialize([1.2, 3.4, 5.6, 7.8], 0) |
| ctype_five = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 5)") |
| with self.assertRaisesRegex(ValueError, "Expected vector of type float and dimension 5 to have serialized size 20; observed serialized size of 16 instead"): |
| ctype_five.deserialize(ctype_four_bytes, 0) |
| |
| def test_deserialization_fixed_size_too_big(self): |
| ctype_five = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 5)") |
| ctype_five_bytes = ctype_five.serialize([1.2, 3.4, 5.6, 7.8, 9.10], 0) |
| ctype_four = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.FloatType, 4)") |
| with self.assertRaisesRegex(ValueError, "Expected vector of type float and dimension 4 to have serialized size 16; observed serialized size of 20 instead"): |
| ctype_four.deserialize(ctype_five_bytes, 0) |
| |
| def test_deserialization_variable_size_too_small(self): |
| ctype_four = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 4)") |
| ctype_four_bytes = ctype_four.serialize([1, 2, 3, 4], 0) |
| ctype_five = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 5)") |
| with self.assertRaisesRegex(ValueError, "Error reading additional data during vector deserialization after successfully adding 4 elements"): |
| ctype_five.deserialize(ctype_four_bytes, 0) |
| |
| def test_deserialization_variable_size_too_big(self): |
| ctype_five = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 5)") |
| ctype_five_bytes = ctype_five.serialize([1, 2, 3, 4, 5], 0) |
| ctype_four = parse_casstype_args("org.apache.cassandra.db.marshal.VectorType(org.apache.cassandra.db.marshal.IntegerType, 4)") |
| with self.assertRaisesRegex(ValueError, "Additional bytes remaining after vector deserialization completed"): |
| ctype_four.deserialize(ctype_five_bytes, 0) |
| |
| |
| ZERO = datetime.timedelta(0) |
| |
| |
| class UTC(datetime.tzinfo): |
| """UTC""" |
| |
| def utcoffset(self, dt): |
| return ZERO |
| |
| def tzname(self, dt): |
| return "UTC" |
| |
| def dst(self, dt): |
| return ZERO |
| |
| |
| try: |
| utc_timezone = datetime.timezone.utc |
| except AttributeError: |
| utc_timezone = UTC() |
| |
| |
| class DateRangeTypeTests(unittest.TestCase): |
| dt = datetime.datetime(1990, 2, 3, 13, 58, 45, 777777) |
| timestamp = 1485963732404 |
| |
| def test_month_rounding_creation_failure(self): |
| """ |
| @jira_ticket PYTHON-912 |
| """ |
| feb_stamp = ms_timestamp_from_datetime( |
| datetime.datetime(2018, 2, 25, 18, 59, 59, 0) |
| ) |
| dr = DateRange(OPEN_BOUND, |
| DateRangeBound(feb_stamp, DateRangePrecision.MONTH)) |
| dt = datetime_from_timestamp(dr.upper_bound.milliseconds / 1000) |
| self.assertEqual(dt.day, 28) |
| |
| # Leap year |
| feb_stamp_leap_year = ms_timestamp_from_datetime( |
| datetime.datetime(2016, 2, 25, 18, 59, 59, 0) |
| ) |
| dr = DateRange(OPEN_BOUND, |
| DateRangeBound(feb_stamp_leap_year, DateRangePrecision.MONTH)) |
| dt = datetime_from_timestamp(dr.upper_bound.milliseconds / 1000) |
| self.assertEqual(dt.day, 29) |
| |
| def test_decode_precision(self): |
| self.assertEqual(DateRangeType._decode_precision(6), 'MILLISECOND') |
| |
| def test_decode_precision_error(self): |
| with self.assertRaises(ValueError): |
| DateRangeType._decode_precision(-1) |
| |
| def test_encode_precision(self): |
| self.assertEqual(DateRangeType._encode_precision('SECOND'), 5) |
| |
| def test_encode_precision_error(self): |
| with self.assertRaises(ValueError): |
| DateRangeType._encode_precision('INVALID') |
| |
| def test_deserialize_single_value(self): |
| serialized = (int8_pack(0) + |
| int64_pack(self.timestamp) + |
| int8_pack(3)) |
| self.assertEqual( |
| DateRangeType.deserialize(serialized, 5), |
| util.DateRange(value=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 42, 12, 404000), |
| precision='HOUR') |
| ) |
| ) |
| |
| def test_deserialize_closed_range(self): |
| serialized = (int8_pack(1) + |
| int64_pack(self.timestamp) + |
| int8_pack(2) + |
| int64_pack(self.timestamp) + |
| int8_pack(6)) |
| self.assertEqual( |
| DateRangeType.deserialize(serialized, 5), |
| util.DateRange( |
| lower_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 0, 0), |
| precision='DAY' |
| ), |
| upper_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 42, 12, 404000), |
| precision='MILLISECOND' |
| ) |
| ) |
| ) |
| |
| def test_deserialize_open_high(self): |
| serialized = (int8_pack(2) + |
| int64_pack(self.timestamp) + |
| int8_pack(3)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 0), |
| precision='HOUR' |
| ), |
| upper_bound=util.OPEN_BOUND |
| ) |
| ) |
| |
| def test_deserialize_open_low(self): |
| serialized = (int8_pack(3) + |
| int64_pack(self.timestamp) + |
| int8_pack(4)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.OPEN_BOUND, |
| upper_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 42, 20, 1000), |
| precision='MINUTE' |
| ) |
| ) |
| ) |
| |
| def test_deserialize_single_open(self): |
| self.assertEqual( |
| util.DateRange(value=util.OPEN_BOUND), |
| DateRangeType.deserialize(int8_pack(5), 5) |
| ) |
| |
| def test_serialize_single_value(self): |
| serialized = (int8_pack(0) + |
| int64_pack(self.timestamp) + |
| int8_pack(5)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| value=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 42, 12), |
| precision='SECOND' |
| ) |
| ) |
| ) |
| |
| def test_serialize_closed_range(self): |
| serialized = (int8_pack(1) + |
| int64_pack(self.timestamp) + |
| int8_pack(5) + |
| int64_pack(self.timestamp) + |
| int8_pack(0)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15, 42, 12), |
| precision='SECOND' |
| ), |
| upper_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 12, 31), |
| precision='YEAR' |
| ) |
| ) |
| ) |
| |
| def test_serialize_open_high(self): |
| serialized = (int8_pack(2) + |
| int64_pack(self.timestamp) + |
| int8_pack(2)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1), |
| precision='DAY' |
| ), |
| upper_bound=util.OPEN_BOUND |
| ) |
| ) |
| |
| def test_serialize_open_low(self): |
| serialized = (int8_pack(2) + |
| int64_pack(self.timestamp) + |
| int8_pack(3)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.DateRangeBound( |
| value=datetime.datetime(2017, 2, 1, 15), |
| precision='HOUR' |
| ), |
| upper_bound=util.OPEN_BOUND |
| ) |
| ) |
| |
| def test_deserialize_both_open(self): |
| serialized = (int8_pack(4)) |
| deserialized = DateRangeType.deserialize(serialized, 5) |
| self.assertEqual( |
| deserialized, |
| util.DateRange( |
| lower_bound=util.OPEN_BOUND, |
| upper_bound=util.OPEN_BOUND |
| ) |
| ) |
| |
| def test_serialize_single_open(self): |
| serialized = DateRangeType.serialize(util.DateRange( |
| value=util.OPEN_BOUND, |
| ), 5) |
| self.assertEqual(int8_pack(5), serialized) |
| |
| def test_serialize_both_open(self): |
| serialized = DateRangeType.serialize(util.DateRange( |
| lower_bound=util.OPEN_BOUND, |
| upper_bound=util.OPEN_BOUND |
| ), 5) |
| self.assertEqual(int8_pack(4), serialized) |
| |
| def test_failure_to_serialize_no_value_object(self): |
| self.assertRaises(ValueError, DateRangeType.serialize, object(), 5) |
| |
| def test_failure_to_serialize_no_bounds_object(self): |
| class no_bounds_object(object): |
| value = lower_bound = None |
| self.assertRaises(ValueError, DateRangeType.serialize, no_bounds_object, 5) |
| |
| def test_serialized_value_round_trip(self): |
| vals = [b'\x01\x00\x00\x01%\xe9a\xf9\xd1\x06\x00\x00\x01v\xbb>o\xff\x00', |
| b'\x01\x00\x00\x00\xdcm\x03-\xd1\x06\x00\x00\x01v\xbb>o\xff\x00'] |
| for serialized in vals: |
| self.assertEqual( |
| serialized, |
| DateRangeType.serialize(DateRangeType.deserialize(serialized, 0), 0) |
| ) |
| |
| def test_serialize_zero_datetime(self): |
| """ |
| Test serialization where timestamp = 0 |
| |
| Companion test for test_deserialize_zero_datetime |
| |
| @since 2.0.0 |
| @jira_ticket PYTHON-729 |
| @expected_result serialization doesn't raise an error |
| |
| @test_category data_types |
| """ |
| DateRangeType.serialize(util.DateRange( |
| lower_bound=(datetime.datetime(1970, 1, 1), 'YEAR'), |
| upper_bound=(datetime.datetime(1970, 1, 1), 'YEAR') |
| ), 5) |
| |
| def test_deserialize_zero_datetime(self): |
| """ |
| Test deserialization where timestamp = 0 |
| |
| Reproduces PYTHON-729 |
| |
| @since 2.0.0 |
| @jira_ticket PYTHON-729 |
| @expected_result deserialization doesn't raise an error |
| |
| @test_category data_types |
| """ |
| DateRangeType.deserialize( |
| (int8_pack(1) + |
| int64_pack(0) + int8_pack(0) + |
| int64_pack(0) + int8_pack(0)), |
| 5 |
| ) |
| |
| |
| class DateRangeDeserializationTests(unittest.TestCase): |
| """ |
| These tests iterate over different timestamp values |
| and assert deserialization gives the expected value |
| """ |
| |
| starting_lower_value = 1514744108923 |
| """ |
| Sample starting value for the lower bound for DateRange |
| """ |
| starting_upper_value = 2148761288922 |
| """ |
| Sample starting value for the upper bound for DateRange |
| """ |
| |
| epoch = datetime.datetime(1970, 1, 1, tzinfo=utc_timezone) |
| |
| def test_deserialize_date_range_milliseconds(self): |
| """ |
| Test rounding from DateRange for milliseconds |
| |
| @since 2.0.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| for i in range(1000): |
| lower_value = self.starting_lower_value + i |
| upper_value = self.starting_upper_value + i |
| dr = DateRange(DateRangeBound(lower_value, DateRangePrecision.MILLISECOND), |
| DateRangeBound(upper_value, DateRangePrecision.MILLISECOND)) |
| self.assertEqual(lower_value, dr.lower_bound.milliseconds) |
| self.assertEqual(upper_value, dr.upper_bound.milliseconds) |
| |
| def test_deserialize_date_range_seconds(self): |
| """ |
| Test rounding from DateRange for milliseconds |
| |
| @since 2.0.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| |
| def truncate_last_figures(number, n=3): |
| """ |
| Truncates last n digits of a number |
| """ |
| return int(str(number)[:-n] + '0' * n) |
| |
| for i in range(1000): |
| lower_value = self.starting_lower_value + i * 900 |
| upper_value = self.starting_upper_value + i * 900 |
| dr = DateRange(DateRangeBound(lower_value, DateRangePrecision.SECOND), |
| DateRangeBound(upper_value, DateRangePrecision.SECOND)) |
| |
| self.assertEqual(truncate_last_figures(lower_value), dr.lower_bound.milliseconds) |
| upper_value = truncate_last_figures(upper_value) + 999 |
| self.assertEqual(upper_value, dr.upper_bound.milliseconds) |
| |
| def test_deserialize_date_range_minutes(self): |
| """ |
| Test rounding from DateRange for seconds |
| |
| @since 2.4.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| self._deserialize_date_range({"second": 0, "microsecond": 0}, |
| DateRangePrecision.MINUTE, |
| # This lambda function given a truncated date adds |
| # one day minus one microsecond in microseconds |
| lambda x: x + 59 * 1000 + 999, |
| lambda original_value, i: original_value + i * 900 * 50) |
| |
| def test_deserialize_date_range_hours(self): |
| """ |
| Test rounding from DateRange for hours |
| |
| @since 2.4.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| self._deserialize_date_range({"minute": 0, "second": 0, "microsecond": 0}, |
| DateRangePrecision.HOUR, |
| # This lambda function given a truncated date adds |
| # one hour minus one microsecond in microseconds |
| lambda x: x + |
| 59 * 60 * 1000 + |
| 59 * 1000 + |
| 999, |
| lambda original_value, i: original_value + i * 900 * 50 * 60) |
| |
| def test_deserialize_date_range_day(self): |
| """ |
| Test rounding from DateRange for hours |
| |
| @since 2.4.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| self._deserialize_date_range({"hour": 0, "minute": 0, "second": 0, "microsecond": 0}, |
| DateRangePrecision.DAY, |
| # This lambda function given a truncated date adds |
| # one day minus one microsecond in microseconds |
| lambda x: x + |
| 23 * 60 * 60 * 1000 + |
| 59 * 60 * 1000 + |
| 59 * 1000 + |
| 999, |
| lambda original_value, i: original_value + i * 900 * 50 * 60 * 24) |
| |
| @unittest.skip("This is currently failing, see PYTHON-912") |
| def test_deserialize_date_range_month(self): |
| """ |
| Test rounding from DateRange for months |
| |
| @since 2.4.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| def get_upper_bound(seconds): |
| """ |
| function that given a truncated date in seconds from the epoch returns that same date |
| but with the microseconds set to 999999, seconds to 59, minutes to 59, hours to 23 |
| and days 28, 29, 30 or 31 depending on the month. |
| The way to do this is to add one month and leave the date at YEAR-MONTH-01 00:00:00 000000. |
| Then subtract one millisecond. |
| """ |
| dt = datetime.datetime.fromtimestamp(seconds / 1000.0, tz=utc_timezone) |
| dt = dt + datetime.timedelta(days=32) |
| dt = dt.replace(day=1) - datetime.timedelta(microseconds=1) |
| return int((dt - self.epoch).total_seconds() * 1000) |
| self._deserialize_date_range({"day": 1, "hour": 0, "minute": 0, "second": 0, "microsecond": 0}, |
| DateRangePrecision.MONTH, |
| get_upper_bound, |
| lambda original_value, i: original_value + i * 900 * 50 * 60 * 24 * 30) |
| |
| def test_deserialize_date_range_year(self): |
| """ |
| Test rounding from DateRange for year |
| |
| @since 2.4.0 |
| @jira_ticket PYTHON-898 |
| @expected_result |
| |
| @test_category data_types |
| """ |
| def get_upper_bound(seconds): |
| """ |
| function that given a truncated date in seconds from the epoch returns that same date |
| but with the microseconds set to 999999, seconds to 59, minutes to 59, hours to 23 |
| days 28, 29, 30 or 31 depending on the month and months to 12. |
| The way to do this is to add one year and leave the date at YEAR-01-01 00:00:00 000000. |
| Then subtract one millisecond. |
| """ |
| dt = datetime.datetime.fromtimestamp(seconds / 1000.0, tz=utc_timezone) |
| dt = dt + datetime.timedelta(days=370) |
| dt = dt.replace(day=1) - datetime.timedelta(microseconds=1) |
| |
| diff = time.mktime(dt.timetuple()) - time.mktime(self.epoch.timetuple()) |
| return diff * 1000 + 999 |
| # This doesn't work for big values because it loses precision |
| #return int((dt - self.epoch).total_seconds() * 1000) |
| self._deserialize_date_range({"month": 1, "day": 1, "hour": 0, "minute": 0, "second": 0, "microsecond": 0}, |
| DateRangePrecision.YEAR, |
| get_upper_bound, |
| lambda original_value, i: original_value + i * 900 * 50 * 60 * 24 * 30 * 12 * 7) |
| |
| def _deserialize_date_range(self, truncate_kwargs, precision, |
| round_up_truncated_upper_value, increment_loop_variable): |
| """ |
| This functions iterates over several DateRange objects determined by |
| lower_value upper_value which are given as a value that represents seconds since the epoch. |
| We want to make sure the lower_value is correctly rounded down and the upper value is correctly rounded up. |
| In the case of rounding down we verify that the rounded down value |
| has the appropriate fields set to the minimum they could possibly have. That is |
| 1 for months, 1 for days, 0 for hours, 0 for minutes, 0 for seconds, 0 for microseconds. |
| We use the generic function truncate_date which depends on truncate_kwargs for this |
| |
| In the case of rounding up we verify that the rounded up value has the appropriate fields set |
| to the maximum they could possibly have. This is calculated by round_up_truncated_upper_value |
| which input is the truncated value from before. It is passed as an argument as the way |
| of calculating this is different for every precision. |
| |
| :param truncate_kwargs: determine what values to truncate in truncate_date |
| :param precision: :class:`~util.DateRangePrecision` |
| :param round_up_truncated_upper_value: this is a function that gets a truncated date and |
| returns a new date with some fields set to the maximum possible value |
| :param increment_loop_variable: this is a function that given a starting value and the iteration |
| value returns a new date to serve as lower_bound/upper_bound. We need this because the value by which |
| dates are incremented depends on if the precision is seconds, minutes, hours, days and months |
| :return: |
| """ |
| |
| def truncate_date(number): |
| """ |
| Given a date in seconds since the epoch truncates ups to a certain precision depending on |
| truncate_kwargs. |
| The return is the truncated date in seconds since the epoch. |
| For example if truncate_kwargs = {"hour": 0, "minute": 0, "second": 0, "microsecond": 0} the returned |
| value will be the original given date but with the hours, minutes, seconds and microseconds set to 0 |
| """ |
| dt = datetime.datetime.fromtimestamp(number / 1000.0, tz=utc_timezone) |
| dt = dt.replace(**truncate_kwargs) |
| return round((dt - self.epoch).total_seconds() * 1000.0) |
| |
| for i in range(1000): |
| # We increment the lower_value and upper_value according to increment_loop_variable |
| lower_value = increment_loop_variable(self.starting_lower_value, i) |
| upper_value = increment_loop_variable(self.starting_upper_value, i) |
| |
| # Inside the __init__ for DateRange the rounding up and down should happen |
| dr = DateRange(DateRangeBound(lower_value, precision), |
| DateRangeBound(upper_value, precision)) |
| |
| # We verify that rounded value corresponds with what we would expect |
| self.assertEqual(truncate_date(lower_value), dr.lower_bound.milliseconds) |
| upper_value = round_up_truncated_upper_value(truncate_date(upper_value)) |
| self.assertEqual(upper_value, dr.upper_bound.milliseconds) |
| |
| |
| class TestOrdering(unittest.TestCase): |
| def _shuffle_lists(self, *args): |
| return [item for sublist in zip(*args) for item in sublist] |
| |
| def test_host_order(self): |
| """ |
| Test Host class is ordered consistently |
| |
| @since 3.9 |
| @jira_ticket PYTHON-714 |
| @expected_result the hosts are ordered correctly |
| |
| @test_category data_types |
| """ |
| hosts = [Host(addr, SimpleConvictionPolicy) for addr in |
| ("127.0.0.1", "127.0.0.2", "127.0.0.3", "127.0.0.4")] |
| hosts_equal = [Host(addr, SimpleConvictionPolicy) for addr in |
| ("127.0.0.1", "127.0.0.1")] |
| hosts_equal_conviction = [Host("127.0.0.1", SimpleConvictionPolicy), Host("127.0.0.1", ConvictionPolicy)] |
| check_sequence_consistency(self, hosts) |
| check_sequence_consistency(self, hosts_equal, equal=True) |
| check_sequence_consistency(self, hosts_equal_conviction, equal=True) |
| |
| def test_date_order(self): |
| """ |
| Test Date class is ordered consistently |
| |
| @since 3.9 |
| @jira_ticket PYTHON-714 |
| @expected_result the dates are ordered correctly |
| |
| @test_category data_types |
| """ |
| dates_from_string = [Date("2017-01-01"), Date("2017-01-05"), Date("2017-01-09"), Date("2017-01-13")] |
| dates_from_string_equal = [Date("2017-01-01"), Date("2017-01-01")] |
| check_sequence_consistency(self, dates_from_string) |
| check_sequence_consistency(self, dates_from_string_equal, equal=True) |
| |
| date_format = "%Y-%m-%d" |
| |
| dates_from_value = [ |
| Date((datetime.datetime.strptime(dtstr, date_format) - |
| datetime.datetime(1970, 1, 1)).days) |
| for dtstr in ("2017-01-02", "2017-01-06", "2017-01-10", "2017-01-14") |
| ] |
| dates_from_value_equal = [Date(1), Date(1)] |
| check_sequence_consistency(self, dates_from_value) |
| check_sequence_consistency(self, dates_from_value_equal, equal=True) |
| |
| dates_from_datetime = [Date(datetime.datetime.strptime(dtstr, date_format)) |
| for dtstr in ("2017-01-03", "2017-01-07", "2017-01-11", "2017-01-15")] |
| dates_from_datetime_equal = [Date(datetime.datetime.strptime("2017-01-01", date_format)), |
| Date(datetime.datetime.strptime("2017-01-01", date_format))] |
| check_sequence_consistency(self, dates_from_datetime) |
| check_sequence_consistency(self, dates_from_datetime_equal, equal=True) |
| |
| dates_from_date = [ |
| Date(datetime.datetime.strptime(dtstr, date_format).date()) for dtstr in |
| ("2017-01-04", "2017-01-08", "2017-01-12", "2017-01-16") |
| ] |
| dates_from_date_equal = [datetime.datetime.strptime(dtstr, date_format) for dtstr in |
| ("2017-01-09", "2017-01-9")] |
| |
| check_sequence_consistency(self, dates_from_date) |
| check_sequence_consistency(self, dates_from_date_equal, equal=True) |
| |
| check_sequence_consistency(self, self._shuffle_lists(dates_from_string, dates_from_value, |
| dates_from_datetime, dates_from_date)) |
| |
| def test_timer_order(self): |
| """ |
| Test Time class is ordered consistently |
| |
| @since 3.9 |
| @jira_ticket PYTHON-714 |
| @expected_result the times are ordered correctly |
| |
| @test_category data_types |
| """ |
| time_from_int = [Time(1000), Time(4000), Time(7000), Time(10000)] |
| time_from_int_equal = [Time(1), Time(1)] |
| check_sequence_consistency(self, time_from_int) |
| check_sequence_consistency(self, time_from_int_equal, equal=True) |
| |
| time_from_datetime = [Time(datetime.time(hour=0, minute=0, second=0, microsecond=us)) |
| for us in (2, 5, 8, 11)] |
| time_from_datetime_equal = [Time(datetime.time(hour=0, minute=0, second=0, microsecond=us)) |
| for us in (1, 1)] |
| check_sequence_consistency(self, time_from_datetime) |
| check_sequence_consistency(self, time_from_datetime_equal, equal=True) |
| |
| time_from_string = [Time("00:00:00.000003000"), Time("00:00:00.000006000"), |
| Time("00:00:00.000009000"), Time("00:00:00.000012000")] |
| time_from_string_equal = [Time("00:00:00.000004000"), Time("00:00:00.000004000")] |
| check_sequence_consistency(self, time_from_string) |
| check_sequence_consistency(self, time_from_string_equal, equal=True) |
| |
| check_sequence_consistency(self, self._shuffle_lists(time_from_int, time_from_datetime, time_from_string)) |
| |
| def test_token_order(self): |
| """ |
| Test Token class is ordered consistently |
| |
| @since 3.9 |
| @jira_ticket PYTHON-714 |
| @expected_result the tokens are ordered correctly |
| |
| @test_category data_types |
| """ |
| tokens = [Token(1), Token(2), Token(3), Token(4)] |
| tokens_equal = [Token(1), Token(1)] |
| check_sequence_consistency(self, tokens) |
| check_sequence_consistency(self, tokens_equal, equal=True) |
