本文整理汇总了Python中sqlalchemy.Time方法的典型用法代码示例。如果您正苦于以下问题：Python sqlalchemy.Time方法的具体用法？Python sqlalchemy.Time怎么用？Python sqlalchemy.Time使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sqlalchemy的用法示例。
在下文中一共展示了sqlalchemy.Time方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: sa_time
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def sa_time(_, satype, nullable=True):
return dt.Time(nullable=nullable) 示例2: Time
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def Time(
*,
primary_key: bool = False,
allow_null: bool = False,
index: bool = False,
unique: bool = False,
) -> Type[time]:
namespace = dict(
primary_key=primary_key,
allow_null=allow_null,
index=index,
unique=unique,
column_type=sqlalchemy.Time(),
)
return type("Time", (time, ColumnFactory), namespace) 示例3: define_tables
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def define_tables(cls, metadata):
Table(
"t",
metadata,
Column("id", Integer, primary_key=True),
Column("dtme", DateTime),
Column("dt", Date),
Column("tm", Time),
Column("intv", postgresql.INTERVAL),
Column("dttz", DateTime(timezone=True)),
) 示例4: define_tables
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy 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),
) 示例5: date_fixture
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def date_fixture(self, metadata):
t = Table(
"test_dates",
metadata,
Column("adate", Date),
Column("atime1", Time),
Column("atime2", Time),
Column("adatetime", DateTime),
Column("adatetimeoffset", DATETIMEOFFSET),
)
d1 = datetime.date(2007, 10, 30)
t1 = datetime.time(11, 2, 32)
d2 = datetime.datetime(2007, 10, 30, 11, 2, 32)
return t, (d1, t1, d2) 示例6: convert_type
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def convert_type(self, type):
"""Convert type to SQL
"""
# Default dialect
mapping = {
'any': sa.Text,
'array': None,
'boolean': sa.Boolean,
'date': sa.Date,
'datetime': sa.DateTime,
'duration': None,
'geojson': None,
'geopoint': None,
'integer': sa.Integer,
'number': sa.Float,
'object': None,
'string': sa.Text,
'time': sa.Time,
'year': sa.Integer,
'yearmonth': None,
}
# Postgresql dialect
if self.__dialect == 'postgresql':
mapping.update({
'array': JSONB,
'geojson': JSONB,
'number': sa.Numeric,
'object': JSONB,
})
# Not supported type
if type not in mapping:
message = 'Field type "%s" is not supported'
raise tableschema.exceptions.StorageError(message % type)
return mapping[type] 示例7: restore_type
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy import Time [as 别名]
def restore_type(self, type):
"""Restore type from SQL
"""
# All dialects
mapping = {
ARRAY: 'array',
sa.Boolean: 'boolean',
sa.Date: 'date',
sa.DateTime: 'datetime',
sa.Float: 'number',
sa.Integer: 'integer',
JSONB: 'object',
JSON: 'object',
sa.Numeric: 'number',
sa.Text: 'string',
sa.Time: 'time',
sa.VARCHAR: 'string',
UUID: 'string',
}
# Get field type
field_type = None
for key, value in mapping.items():
if isinstance(type, key):
field_type = value
# Not supported
if field_type is None:
message = 'Type "%s" is not supported'
raise tableschema.exceptions.StorageError(message % type)
return field_type
# Internal 示例8: test_dates
# 需要导入模块: import sqlalchemy [as 别名]
# 或者: from sqlalchemy 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))