Python types.Time方法代码示例

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Time [as 别名]
def _resolve_type(self, t, **kw):
        """
        Resolve types for String, Numeric, Date/Time, etc. columns
        """
        t = self.normalize_name(t)
        if t in ischema_names:
            #print(t,ischema_names[t])
            t = ischema_names[t]
            
            if issubclass(t, sqltypes.String):
                return t(length=kw['length']/2 if kw['chartype']=='UNICODE' else kw['length'],\
                            charset=kw['chartype'])

            elif issubclass(t, sqltypes.Numeric):
                return t(precision=kw['prec'], scale=kw['scale'])

            elif issubclass(t, sqltypes.Time) or issubclass(t, sqltypes.DateTime):
                #Timezone
                tz=kw['fmt'][-1]=='Z'

                #Precision                
                prec = kw['fmt']    
                #For some timestamps and dates, there is no precision, or indicatd in scale
                prec = prec[prec.index('(') + 1: prec.index(')')] if '(' in prec else 0
                prec = kw['scale'] if prec=='F' else int(prec)

                #prec = int(prec[prec.index('(') + 1: prec.index(')')]) if '(' in prec else 0
                return t(precision=prec,timezone=tz)

            elif issubclass(t, sqltypes.Interval):
                return t(day_precision=kw['prec'],second_precision=kw['scale'])

            else:
                return t() # For types like Integer, ByteInt

        return ischema_names[None] 

# 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_should_time_convert_string():
    assert get_field(types.Time()).type == graphene.String 

# 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_time(self):
        for t in ['time', 'time without time zone']:
            self._test(t, sqltypes.Time) 

# 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_cant_parse_datetime_message(self, connection):
        for (typ, disp) in [
            (Time, "time"),
            (DateTime, "datetime"),
            (Date, "date"),
        ]:
            assert_raises_message(
                ValueError,
                "Couldn't parse %s string." % disp,
                lambda: connection.execute(
                    text("select 'ASDF' as value").columns(value=typ)
                ).scalar(),
            ) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Time [as 别名]
def define_tables(cls, metadata):
        Table(
            "time_t",
            metadata,
            Column("id", Integer, primary_key=True, autoincrement=False),
            Column("time_col", Time),
        ) 

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Time [as 别名]
def __init__(self):
        self._types = {
            # Django internal type => SQLAlchemy type
            'ArrayField': SA_ARRAY,
            'AutoField': sa_types.Integer,
            'BigAutoField': sa_types.BigInteger,
            'BigIntegerField': sa_types.BigInteger,
            'BooleanField': sa_types.Boolean,
            'CharField': sa_types.String,
            'DateField': sa_types.Date,
            'DateTimeField': sa_types.DateTime,
            'DecimalField': sa_types.Numeric,
            'DurationField': sa_types.Interval,
            'FileField': sa_types.String,
            'FilePathField': sa_types.String,
            'FloatField': sa_types.Float,
            'GenericIPAddressField': sa_types.String,
            'IntegerField': sa_types.Integer,
            'JSONField': SA_JSONB,
            'NullBooleanField': sa_types.Boolean,
            'PointField': Geometry,
            'PositiveIntegerField': sa_types.Integer,
            'PositiveSmallIntegerField': sa_types.SmallInteger,
            'SlugField': sa_types.String,
            'SmallIntegerField': sa_types.SmallInteger,
            'TextField': sa_types.Text,
            'TimeField': sa_types.Time,
            'UUIDField': SA_UUID,
            # TODO: Add missing GIS fields
        } 

# 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_get_columns(self, schema=None, table_type='table'):
        meta = MetaData(testing.db)
        users, addresses, dingalings = self.tables.users, \
            self.tables.email_addresses, self.tables.dingalings
        table_names = ['users', 'email_addresses']
        if table_type == 'view':
            table_names = ['users_v', 'email_addresses_v']
        insp = inspect(meta.bind)
        for table_name, table in zip(table_names, (users,
                                                   addresses)):
            schema_name = schema
            cols = insp.get_columns(table_name, schema=schema_name)
            self.assert_(len(cols) > 0, len(cols))

            # should be in order

            for i, col in enumerate(table.columns):
                eq_(col.name, cols[i]['name'])
                ctype = cols[i]['type'].__class__
                ctype_def = col.type
                if isinstance(ctype_def, sa.types.TypeEngine):
                    ctype_def = ctype_def.__class__

                # Oracle returns Date for DateTime.

                if testing.against('oracle') and ctype_def \
                        in (sql_types.Date, sql_types.DateTime):
                    ctype_def = sql_types.Date

                # assert that the desired type and return type share
                # a base within one of the generic types.

                self.assert_(len(set(ctype.__mro__).
                                 intersection(ctype_def.__mro__).
                                 intersection([
                                     sql_types.Integer,
                                     sql_types.Numeric,
                                     sql_types.DateTime,
                                     sql_types.Date,
                                     sql_types.Time,
                                     sql_types.String,
                                     sql_types._Binary,
                                 ])) > 0, '%s(%s), %s(%s)' %
                             (col.name, col.type, cols[i]['name'], ctype))

                if not col.primary_key:
                    assert cols[i]['default'] is None 

# 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)) 

# 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_get_columns(self, schema=None, table_type='table'):
        meta = MetaData(testing.db)
        users, addresses, dingalings = self.tables.users, \
                self.tables.email_addresses, self.tables.dingalings
        table_names = ['users', 'email_addresses']
        if table_type == 'view':
            table_names = ['users_v', 'email_addresses_v']
        insp = inspect(meta.bind)
        for table_name, table in zip(table_names, (users,
                addresses)):
            schema_name = schema
            cols = insp.get_columns(table_name, schema=schema_name)
            self.assert_(len(cols) > 0, len(cols))

            # should be in order

            for i, col in enumerate(table.columns):
                eq_(col.name, cols[i]['name'])
                ctype = cols[i]['type'].__class__
                ctype_def = col.type
                if isinstance(ctype_def, sa.types.TypeEngine):
                    ctype_def = ctype_def.__class__

                # Oracle returns Date for DateTime.

                if testing.against('oracle') and ctype_def \
                    in (sql_types.Date, sql_types.DateTime):
                    ctype_def = sql_types.Date

                # assert that the desired type and return type share
                # a base within one of the generic types.

                self.assert_(len(set(ctype.__mro__).
                    intersection(ctype_def.__mro__).intersection([
                    sql_types.Integer,
                    sql_types.Numeric,
                    sql_types.DateTime,
                    sql_types.Date,
                    sql_types.Time,
                    sql_types.String,
                    sql_types._Binary,
                    ])) > 0, '%s(%s), %s(%s)' % (col.name,
                            col.type, cols[i]['name'], ctype))

                if not col.primary_key:
                    assert cols[i]['default'] is None