本文整理汇总了Python中sqlalchemy.types.NUMERIC属性的典型用法代码示例。如果您正苦于以下问题：Python types.NUMERIC属性的具体用法？Python types.NUMERIC怎么用？Python types.NUMERIC使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类sqlalchemy.types的用法示例。
在下文中一共展示了types.NUMERIC属性的11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: _type_affinity_fixture
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def _type_affinity_fixture(self):
return [
("LONGTEXT", sqltypes.TEXT()),
("TINYINT", sqltypes.INTEGER()),
("MEDIUMINT", sqltypes.INTEGER()),
("INT2", sqltypes.INTEGER()),
("UNSIGNED BIG INT", sqltypes.INTEGER()),
("INT8", sqltypes.INTEGER()),
("CHARACTER(20)", sqltypes.TEXT()),
("CLOB", sqltypes.TEXT()),
("CLOBBER", sqltypes.TEXT()),
("VARYING CHARACTER(70)", sqltypes.TEXT()),
("NATIVE CHARACTER(70)", sqltypes.TEXT()),
("BLOB", sqltypes.BLOB()),
("BLOBBER", sqltypes.NullType()),
("DOUBLE PRECISION", sqltypes.REAL()),
("FLOATY", sqltypes.REAL()),
("SOMETHING UNKNOWN", sqltypes.NUMERIC()),
] 示例2: test_fancy_coltypes
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_fancy_coltypes(metadata):
Table(
"simple_items",
metadata,
Column("enum", postgresql.ENUM("A", "B", name="blah")),
Column("bool", postgresql.BOOLEAN),
Column("number", NUMERIC(10, asdecimal=False)),
)
assert (
generate_code(metadata)
== """\
# coding: utf-8
from sqlalchemy import Boolean, Column, Enum, MetaData, Numeric, Table
metadata = MetaData()
t_simple_items = Table(
'simple_items', metadata,
Column('enum', Enum('A', 'B', name='blah')),
Column('bool', Boolean),
Column('number', Numeric(10, asdecimal=False))
)
"""
) 示例3: sqltype_to_stdtype
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [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 示例4: __init__
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def __init__(self, precision=None, scale=None, asdecimal=True, **kw):
"""Construct a NUMERIC.
:param precision: Total digits in this number. If scale and precision
are both None, values are stored to limits allowed by the server.
:param scale: The number of digits after the decimal point.
"""
super(NUMERIC, self).__init__(precision=precision, scale=scale,
asdecimal=asdecimal, **kw) 示例5: test_default_reflection
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_default_reflection(self):
# (ask_for, roundtripped_as_if_different)
specs = [
(String(3), '"foo"'),
(sqltypes.NUMERIC(10, 2), "100.50"),
(Integer, "5"),
(Boolean, "False"),
]
columns = [
Column("c%i" % (i + 1), t[0], server_default=text(t[1]))
for (i, t) in enumerate(specs)
]
db = testing.db
m = MetaData(db)
Table("t_defaults", m, *columns)
try:
m.create_all()
m2 = MetaData(db)
rt = Table("t_defaults", m2, autoload=True)
expected = [c[1] for c in specs]
for i, reflected in enumerate(rt.c):
eq_(str(reflected.server_default.arg), expected[i])
finally:
m.drop_all() 示例6: test_numeric
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_numeric(self):
"Exercise type specification and options for numeric types."
columns = [
# column type, args, kwargs, expected ddl
(types.NUMERIC, [], {}, "NUMERIC"),
(types.NUMERIC, [None], {}, "NUMERIC"),
(types.NUMERIC, [12, 4], {}, "NUMERIC(12, 4)"),
(types.Float, [], {}, "FLOAT"),
(types.Float, [None], {}, "FLOAT"),
(types.Float, [12], {}, "FLOAT(12)"),
(mssql.MSReal, [], {}, "REAL"),
(types.Integer, [], {}, "INTEGER"),
(types.BigInteger, [], {}, "BIGINT"),
(mssql.MSTinyInteger, [], {}, "TINYINT"),
(types.SmallInteger, [], {}, "SMALLINT"),
]
metadata = MetaData()
table_args = ["test_mssql_numeric", metadata]
for index, spec in enumerate(columns):
type_, args, kw, res = spec
table_args.append(
Column("c%s" % index, type_(*args, **kw), nullable=None)
)
numeric_table = Table(*table_args)
dialect = mssql.dialect()
gen = dialect.ddl_compiler(dialect, schema.CreateTable(numeric_table))
for col in numeric_table.c:
index = int(col.name[1:])
testing.eq_(
gen.get_column_specification(col),
"%s %s" % (col.name, columns[index][3]),
)
self.assert_(repr(col)) 示例7: test_numeric_plain
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_numeric_plain(self):
self.assert_compile(types.NUMERIC(), "NUMERIC") 示例8: test_numeric_precision
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_numeric_precision(self):
self.assert_compile(types.NUMERIC(2), "NUMERIC(2)") 示例9: test_numeric_scale
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def test_numeric_scale(self):
self.assert_compile(types.NUMERIC(2, 4), "NUMERIC(2, 4)") 示例10: _get_column_info
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [as 别名]
def _get_column_info(
self,
name,
type_,
nullable,
autoincrement,
default,
precision,
scale,
length,
):
coltype = self.ischema_names.get(type_, None)
kwargs = {}
if coltype in (NUMERIC, DECIMAL):
args = (precision, scale)
elif coltype == FLOAT:
args = (precision,)
elif coltype in (CHAR, VARCHAR, UNICHAR, UNIVARCHAR, NCHAR, NVARCHAR):
args = (length,)
else:
args = ()
if coltype:
coltype = coltype(*args, **kwargs)
# is this necessary
# if is_array:
# coltype = ARRAY(coltype)
else:
util.warn(
"Did not recognize type '%s' of column '%s'" % (type_, name)
)
coltype = sqltypes.NULLTYPE
if default:
default = default.replace("DEFAULT", "").strip()
default = re.sub("^'(.*)'$", lambda m: m.group(1), default)
else:
default = None
column_info = dict(
name=name,
type=coltype,
nullable=nullable,
default=default,
autoincrement=autoincrement,
)
return column_info 示例11: _fixed_lookup_fixture
# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import NUMERIC [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(),
),
]