Python types.TIME属性代码示例

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def test_reflect_select(table, table_using_test_dataset):
    for table in [table, table_using_test_dataset]:
        assert len(table.c) == 18

        assert isinstance(table.c.integer, Column)
        assert isinstance(table.c.integer.type, types.Integer)
        assert isinstance(table.c.timestamp.type, types.TIMESTAMP)
        assert isinstance(table.c.string.type, types.String)
        assert isinstance(table.c.float.type, types.Float)
        assert isinstance(table.c.boolean.type, types.Boolean)
        assert isinstance(table.c.date.type, types.DATE)
        assert isinstance(table.c.datetime.type, types.DATETIME)
        assert isinstance(table.c.time.type, types.TIME)
        assert isinstance(table.c.bytes.type, types.BINARY)
        assert isinstance(table.c['record.age'].type, types.Integer)
        assert isinstance(table.c['record.name'].type, types.String)
        assert isinstance(table.c['nested_record.record.age'].type, types.Integer)
        assert isinstance(table.c['nested_record.record.name'].type, types.String)
        assert isinstance(table.c.array.type, types.ARRAY)

        rows = table.select().execute().fetchall()
        assert len(rows) == 1000 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def sqltype_to_stdtype(sqltype):
    import sqlalchemy.types as sqltypes
    if isinstance(sqltype, (sqltypes.VARCHAR, sqltypes.CHAR, sqltypes.TEXT, sqltypes.Enum, sqltypes.String)):
        return _STRING_TYPE
    if isinstance(sqltype, (sqltypes.DATETIME, sqltypes.DATE, sqltypes.TIME, sqltypes.TIMESTAMP)):
        return _DATE_TYPE
    if isinstance(sqltype, (sqltypes.INTEGER, sqltypes.BIGINT, sqltypes.SMALLINT, sqltypes.Integer)):
        return _INTEGER_TYPE
    if isinstance(sqltype, (sqltypes.REAL, sqltypes.DECIMAL, sqltypes.NUMERIC, sqltypes.FLOAT)):
        return _DECIMAL_TYPE
    if isinstance(sqltype, sqltypes.BOOLEAN):
        return _BOOLEAN_TYPE 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def test_truncate_microseconds(self):
        dt = datetime.time(12, 0, 0, 125)
        dt_out = datetime.time(12, 0, 0)
        eq_(str(dt), "12:00:00.000125")
        sldt = sqlite.TIME(truncate_microseconds=True)
        bp = sldt.bind_processor(None)
        eq_(bp(dt), "12:00:00")
        rp = sldt.result_processor(None, None)
        eq_(rp(bp(dt)), dt_out) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def _assert_result_processor(self, expected, value):
        mssql_time_type = TIME()
        result_processor = mssql_time_type.result_processor(None, None)
        eq_(expected, result_processor(value)) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def test_result_processor_invalid(self):
        mssql_time_type = TIME()
        result_processor = mssql_time_type.result_processor(None, None)
        assert_raises_message(
            ValueError,
            "could not parse 'abc' as a time value",
            result_processor,
            "abc",
        ) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def test_create_table(engine):
    meta = MetaData()
    table = Table(
        'test_pybigquery.test_table_create', meta,
        Column('integer_c', sqlalchemy.Integer, doc="column description"),
        Column('float_c', sqlalchemy.Float),
        Column('decimal_c', sqlalchemy.DECIMAL),
        Column('string_c', sqlalchemy.String),
        Column('text_c', sqlalchemy.Text),
        Column('boolean_c', sqlalchemy.Boolean),
        Column('timestamp_c', sqlalchemy.TIMESTAMP),
        Column('datetime_c', sqlalchemy.DATETIME),
        Column('date_c', sqlalchemy.DATE),
        Column('time_c', sqlalchemy.TIME),
        Column('binary_c', sqlalchemy.BINARY),
        bigquery_description="test table description",
        bigquery_friendly_name="test table name"
    )
    meta.create_all(engine)
    meta.drop_all(engine)

    # Test creating tables with declarative_base
    Base = declarative_base()

    class TableTest(Base):
        __tablename__ = 'test_pybigquery.test_table_create2'
        integer_c = Column(sqlalchemy.Integer, primary_key=True)
        float_c = Column(sqlalchemy.Float)

    Base.metadata.create_all(engine)
    Base.metadata.drop_all(engine) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def _fixed_lookup_fixture(self):
        return [
            (sqltypes.String(), sqltypes.VARCHAR()),
            (sqltypes.String(1), sqltypes.VARCHAR(1)),
            (sqltypes.String(3), sqltypes.VARCHAR(3)),
            (sqltypes.Text(), sqltypes.TEXT()),
            (sqltypes.Unicode(), sqltypes.VARCHAR()),
            (sqltypes.Unicode(1), sqltypes.VARCHAR(1)),
            (sqltypes.UnicodeText(), sqltypes.TEXT()),
            (sqltypes.CHAR(3), sqltypes.CHAR(3)),
            (sqltypes.NUMERIC, sqltypes.NUMERIC()),
            (sqltypes.NUMERIC(10, 2), sqltypes.NUMERIC(10, 2)),
            (sqltypes.Numeric, sqltypes.NUMERIC()),
            (sqltypes.Numeric(10, 2), sqltypes.NUMERIC(10, 2)),
            (sqltypes.DECIMAL, sqltypes.DECIMAL()),
            (sqltypes.DECIMAL(10, 2), sqltypes.DECIMAL(10, 2)),
            (sqltypes.INTEGER, sqltypes.INTEGER()),
            (sqltypes.BIGINT, sqltypes.BIGINT()),
            (sqltypes.Float, sqltypes.FLOAT()),
            (sqltypes.TIMESTAMP, sqltypes.TIMESTAMP()),
            (sqltypes.DATETIME, sqltypes.DATETIME()),
            (sqltypes.DateTime, sqltypes.DATETIME()),
            (sqltypes.DateTime(), sqltypes.DATETIME()),
            (sqltypes.DATE, sqltypes.DATE()),
            (sqltypes.Date, sqltypes.DATE()),
            (sqltypes.TIME, sqltypes.TIME()),
            (sqltypes.Time, sqltypes.TIME()),
            (sqltypes.BOOLEAN, sqltypes.BOOLEAN()),
            (sqltypes.Boolean, sqltypes.BOOLEAN()),
            (
                sqlite.DATE(storage_format="%(year)04d%(month)02d%(day)02d"),
                sqltypes.DATE(),
            ),
            (
                sqlite.TIME(
                    storage_format="%(hour)02d%(minute)02d%(second)02d"
                ),
                sqltypes.TIME(),
            ),
            (
                sqlite.DATETIME(
                    storage_format="%(year)04d%(month)02d%(day)02d"
                    "%(hour)02d%(minute)02d%(second)02d"
                ),
                sqltypes.DATETIME(),
            ),
        ] 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import TIME [as 别名]
def test_dates(self):
        "Exercise type specification for date types."

        columns = [
            # column type, args, kwargs, expected ddl
            (mssql.MSDateTime, [], {}, "DATETIME", None),
            (types.DATE, [], {}, "DATE", None),
            (types.Date, [], {}, "DATE", None),
            (types.Date, [], {}, "DATETIME", MS_2005_VERSION),
            (mssql.MSDate, [], {}, "DATE", None),
            (mssql.MSDate, [], {}, "DATETIME", MS_2005_VERSION),
            (types.TIME, [], {}, "TIME", None),
            (types.Time, [], {}, "TIME", None),
            (mssql.MSTime, [], {}, "TIME", None),
            (mssql.MSTime, [1], {}, "TIME(1)", None),
            (types.Time, [], {}, "DATETIME", MS_2005_VERSION),
            (mssql.MSTime, [], {}, "TIME", None),
            (mssql.MSSmallDateTime, [], {}, "SMALLDATETIME", None),
            (mssql.MSDateTimeOffset, [], {}, "DATETIMEOFFSET", None),
            (mssql.MSDateTimeOffset, [1], {}, "DATETIMEOFFSET(1)", None),
            (mssql.MSDateTime2, [], {}, "DATETIME2", None),
            (mssql.MSDateTime2, [0], {}, "DATETIME2(0)", None),
            (mssql.MSDateTime2, [1], {}, "DATETIME2(1)", None),
            (mssql.MSTime, [0], {}, "TIME(0)", None),
            (mssql.MSDateTimeOffset, [0], {}, "DATETIMEOFFSET(0)", None),
        ]

        metadata = MetaData()
        table_args = ["test_mssql_dates", metadata]
        for index, spec in enumerate(columns):
            type_, args, kw, res, server_version = spec
            table_args.append(
                Column("c%s" % index, type_(*args, **kw), nullable=None)
            )

        date_table = Table(*table_args)
        dialect = mssql.dialect()
        dialect.server_version_info = MS_2008_VERSION
        ms_2005_dialect = mssql.dialect()
        ms_2005_dialect.server_version_info = MS_2005_VERSION
        gen = dialect.ddl_compiler(dialect, schema.CreateTable(date_table))
        gen2005 = ms_2005_dialect.ddl_compiler(
            ms_2005_dialect, schema.CreateTable(date_table)
        )

        for col in date_table.c:
            index = int(col.name[1:])
            server_version = columns[index][4]
            if not server_version:
                testing.eq_(
                    gen.get_column_specification(col),
                    "%s %s" % (col.name, columns[index][3]),
                )
            else:
                testing.eq_(
                    gen2005.get_column_specification(col),
                    "%s %s" % (col.name, columns[index][3]),
                )

            self.assert_(repr(col))