tests/integration/datatype_utils.py

# Copyright DataStax, Inc.
#
# Licensed 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.

from decimal import Decimal
from datetime import datetime, date, time
import ipaddress
from uuid import uuid1, uuid4

from cassandra.util import OrderedMap, Date, Time, sortedset, Duration

from tests.integration import get_server_versions


PRIMITIVE_DATATYPES = sortedset([
    'ascii',
    'bigint',
    'blob',
    'boolean',
    'decimal',
    'double',
    'float',
    'inet',
    'int',
    'text',
    'timestamp',
    'timeuuid',
    'uuid',
    'varchar',
    'varint',
])

PRIMITIVE_DATATYPES_KEYS = PRIMITIVE_DATATYPES.copy()

COLLECTION_TYPES = sortedset([
    'list',
    'set',
    'map',
])


def update_datatypes():
    _cass_version, _cql_version = get_server_versions()

    if _cass_version >= (2, 1, 0):
        COLLECTION_TYPES.add('tuple')

    if _cass_version >= (2, 2, 0):
        PRIMITIVE_DATATYPES.update(['date', 'time', 'smallint', 'tinyint'])
        PRIMITIVE_DATATYPES_KEYS.update(['date', 'time', 'smallint', 'tinyint'])
    if _cass_version >= (3, 10):
        PRIMITIVE_DATATYPES.add('duration')

    global SAMPLE_DATA
    SAMPLE_DATA = get_sample_data()


def get_sample_data():
    sample_data = {}

    for datatype in PRIMITIVE_DATATYPES:
        if datatype == 'ascii':
            sample_data[datatype] = 'ascii'

        elif datatype == 'bigint':
            sample_data[datatype] = 2 ** 63 - 1

        elif datatype == 'blob':
            sample_data[datatype] = bytearray(b'hello world')

        elif datatype == 'boolean':
            sample_data[datatype] = True

        elif datatype == 'decimal':
            sample_data[datatype] = Decimal('12.3E+7')

        elif datatype == 'double':
            sample_data[datatype] = 1.23E+8

        elif datatype == 'float':
            sample_data[datatype] = 3.4028234663852886e+38

        elif datatype == 'inet':
            sample_data[datatype] = ('123.123.123.123',
                                     '2001:db8:85a3:8d3:1319:8a2e:370:7348',
                                     ipaddress.IPv4Address("123.123.123.123"),
                                     ipaddress.IPv6Address('2001:db8:85a3:8d3:1319:8a2e:370:7348'))

        elif datatype == 'int':
            sample_data[datatype] = 2147483647

        elif datatype == 'text':
            sample_data[datatype] = 'text'

        elif datatype == 'timestamp':
            sample_data[datatype] = datetime(2013, 12, 31, 23, 59, 59, 999000)

        elif datatype == 'timeuuid':
            sample_data[datatype] = uuid1()

        elif datatype == 'uuid':
            sample_data[datatype] = uuid4()

        elif datatype == 'varchar':
            sample_data[datatype] = 'varchar'

        elif datatype == 'varint':
            sample_data[datatype] = int(str(2147483647) + '000')

        elif datatype == 'date':
            sample_data[datatype] = Date(date(2015, 1, 15))

        elif datatype == 'time':
            sample_data[datatype] = Time(time(16, 47, 25, 7))

        elif datatype == 'tinyint':
            sample_data[datatype] = 123

        elif datatype == 'smallint':
            sample_data[datatype] = 32523

        elif datatype == 'duration':
            sample_data[datatype] = Duration(months=2, days=12, nanoseconds=21231)

        else:
            raise Exception("Missing handling of {0}".format(datatype))

    return sample_data

SAMPLE_DATA = get_sample_data()


def get_sample(datatype):
    """
    Helper method to access created sample data for primitive types
    """
    if isinstance(SAMPLE_DATA[datatype], tuple):
        return SAMPLE_DATA[datatype][0]
    return SAMPLE_DATA[datatype]


def get_all_samples(datatype):
    """
    Helper method to access created sample data for primitive types
    """
    if isinstance(SAMPLE_DATA[datatype], tuple):
        return SAMPLE_DATA[datatype]
    return SAMPLE_DATA[datatype],


def get_collection_sample(collection_type, datatype):
    """
    Helper method to access created sample data for collection types
    """

    if collection_type == 'list':
        return [get_sample(datatype), get_sample(datatype)]
    elif collection_type == 'set':
        return sortedset([get_sample(datatype)])
    elif collection_type == 'map':
        return OrderedMap([(get_sample(datatype), get_sample(datatype))])
    elif collection_type == 'tuple':
        return (get_sample(datatype),)
    else:
        raise Exception('Missing handling of non-primitive type {0}.'.format(collection_type))