mirror of
https://github.com/sqlalchemy/sqlalchemy.git
synced 2026-05-15 21:27:23 -04:00
a80bb4e5aa
persistence of JSON values in MySQL as well as basic operator support of "getitem" and "getpath", making use of the ``JSON_EXTRACT`` function in order to refer to individual paths in a JSON structure. fixes #3547 - Added a new type to core :class:`.types.JSON`. This is the base of the PostgreSQL :class:`.postgresql.JSON` type as well as that of the new :class:`.mysql.JSON` type, so that a PG/MySQL-agnostic JSON column may be used. The type features basic index and path searching support. fixes #3619 - reorganization of migration docs etc. to try to refer both to the fixes to JSON that helps Postgresql while at the same time indicating these are new features of the new base JSON type. - a rework of the Array/Indexable system some more, moving things that are specific to Array out of Indexable. - new operators for JSON indexing added to core so that these can be compiled by the PG and MySQL dialects individually - rename sqltypes.Array to sqltypes.ARRAY - as there is no generic Array implementation, this is an uppercase type for now, consistent with the new sqltypes.JSON type that is also not a generic implementation. There may need to be some convention change to handle the case of datatypes that aren't generic, rely upon DB-native implementations, but aren't necessarily all named the same thing.
763 lines
25 KiB
Python
763 lines
25 KiB
Python
from sqlalchemy.testing import eq_, is_
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import datetime
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from sqlalchemy import func, select, Integer, literal, DateTime, Table, \
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Column, Sequence, MetaData, extract, Date, String, bindparam, \
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literal_column, ARRAY, Numeric
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from sqlalchemy.sql import table, column
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from sqlalchemy import sql, util
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from sqlalchemy.sql.compiler import BIND_TEMPLATES
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from sqlalchemy.testing.engines import all_dialects
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from sqlalchemy import types as sqltypes
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from sqlalchemy.sql import functions
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from sqlalchemy.sql.functions import GenericFunction, FunctionElement
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import decimal
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from sqlalchemy import testing
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from sqlalchemy.testing import fixtures, AssertsCompiledSQL, engines
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from sqlalchemy.dialects import sqlite, postgresql, mysql, oracle
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from sqlalchemy.testing import assert_raises_message
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table1 = table('mytable',
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column('myid', Integer),
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column('name', String),
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column('description', String),
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)
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class CompileTest(fixtures.TestBase, AssertsCompiledSQL):
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__dialect__ = 'default'
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def tear_down(self):
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functions._registry.clear()
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def test_compile(self):
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for dialect in all_dialects(exclude=('sybase', )):
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bindtemplate = BIND_TEMPLATES[dialect.paramstyle]
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self.assert_compile(func.current_timestamp(),
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"CURRENT_TIMESTAMP", dialect=dialect)
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self.assert_compile(func.localtime(), "LOCALTIME", dialect=dialect)
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if dialect.name in ('firebird',):
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self.assert_compile(func.nosuchfunction(),
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"nosuchfunction", dialect=dialect)
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else:
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self.assert_compile(func.nosuchfunction(),
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"nosuchfunction()", dialect=dialect)
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# test generic function compile
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class fake_func(GenericFunction):
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__return_type__ = sqltypes.Integer
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def __init__(self, arg, **kwargs):
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GenericFunction.__init__(self, arg, **kwargs)
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self.assert_compile(
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fake_func('foo'),
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"fake_func(%s)" %
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bindtemplate % {'name': 'fake_func_1', 'position': 1},
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dialect=dialect)
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def test_use_labels(self):
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self.assert_compile(select([func.foo()], use_labels=True),
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"SELECT foo() AS foo_1"
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)
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def test_underscores(self):
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self.assert_compile(func.if_(), "if()")
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def test_generic_now(self):
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assert isinstance(func.now().type, sqltypes.DateTime)
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for ret, dialect in [
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('CURRENT_TIMESTAMP', sqlite.dialect()),
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('now()', postgresql.dialect()),
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('now()', mysql.dialect()),
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('CURRENT_TIMESTAMP', oracle.dialect())
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]:
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self.assert_compile(func.now(), ret, dialect=dialect)
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def test_generic_random(self):
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assert func.random().type == sqltypes.NULLTYPE
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assert isinstance(func.random(type_=Integer).type, Integer)
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for ret, dialect in [
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('random()', sqlite.dialect()),
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('random()', postgresql.dialect()),
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('rand()', mysql.dialect()),
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('random()', oracle.dialect())
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]:
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self.assert_compile(func.random(), ret, dialect=dialect)
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def test_generic_annotation(self):
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fn = func.coalesce('x', 'y')._annotate({"foo": "bar"})
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self.assert_compile(
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fn, "coalesce(:coalesce_1, :coalesce_2)"
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)
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def test_custom_default_namespace(self):
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class myfunc(GenericFunction):
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pass
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assert isinstance(func.myfunc(), myfunc)
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def test_custom_type(self):
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class myfunc(GenericFunction):
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type = DateTime
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assert isinstance(func.myfunc().type, DateTime)
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def test_custom_legacy_type(self):
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# in case someone was using this system
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class myfunc(GenericFunction):
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__return_type__ = DateTime
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assert isinstance(func.myfunc().type, DateTime)
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def test_custom_w_custom_name(self):
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class myfunc(GenericFunction):
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name = "notmyfunc"
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assert isinstance(func.notmyfunc(), myfunc)
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assert not isinstance(func.myfunc(), myfunc)
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def test_custom_package_namespace(self):
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def cls1(pk_name):
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class myfunc(GenericFunction):
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package = pk_name
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return myfunc
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f1 = cls1("mypackage")
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f2 = cls1("myotherpackage")
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assert isinstance(func.mypackage.myfunc(), f1)
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assert isinstance(func.myotherpackage.myfunc(), f2)
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def test_custom_name(self):
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class MyFunction(GenericFunction):
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name = 'my_func'
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def __init__(self, *args):
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args = args + (3,)
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super(MyFunction, self).__init__(*args)
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self.assert_compile(
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func.my_func(1, 2),
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"my_func(:my_func_1, :my_func_2, :my_func_3)"
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)
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def test_custom_registered_identifier(self):
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class GeoBuffer(GenericFunction):
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type = Integer
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package = "geo"
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name = "BufferOne"
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identifier = "buf1"
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class GeoBuffer2(GenericFunction):
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type = Integer
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name = "BufferTwo"
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identifier = "buf2"
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class BufferThree(GenericFunction):
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type = Integer
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identifier = "buf3"
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self.assert_compile(
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func.geo.buf1(),
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"BufferOne()"
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)
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self.assert_compile(
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func.buf2(),
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"BufferTwo()"
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)
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self.assert_compile(
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func.buf3(),
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"BufferThree()"
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)
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def test_custom_args(self):
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class myfunc(GenericFunction):
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pass
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self.assert_compile(
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myfunc(1, 2, 3),
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"myfunc(:myfunc_1, :myfunc_2, :myfunc_3)"
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)
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def test_namespacing_conflicts(self):
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self.assert_compile(func.text('foo'), 'text(:text_1)')
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def test_generic_count(self):
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assert isinstance(func.count().type, sqltypes.Integer)
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self.assert_compile(func.count(), 'count(*)')
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self.assert_compile(func.count(1), 'count(:count_1)')
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c = column('abc')
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self.assert_compile(func.count(c), 'count(abc)')
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def test_constructor(self):
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try:
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func.current_timestamp('somearg')
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assert False
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except TypeError:
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assert True
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try:
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func.char_length('a', 'b')
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assert False
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except TypeError:
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assert True
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try:
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func.char_length()
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assert False
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except TypeError:
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assert True
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def test_return_type_detection(self):
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for fn in [func.coalesce, func.max, func.min, func.sum]:
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for args, type_ in [
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((datetime.date(2007, 10, 5),
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datetime.date(2005, 10, 15)), sqltypes.Date),
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((3, 5), sqltypes.Integer),
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((decimal.Decimal(3), decimal.Decimal(5)),
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sqltypes.Numeric),
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(("foo", "bar"), sqltypes.String),
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((datetime.datetime(2007, 10, 5, 8, 3, 34),
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datetime.datetime(2005, 10, 15, 14, 45, 33)),
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sqltypes.DateTime)
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]:
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assert isinstance(fn(*args).type, type_), \
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"%s / %r != %s" % (fn(), fn(*args).type, type_)
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assert isinstance(func.concat("foo", "bar").type, sqltypes.String)
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def test_assorted(self):
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table1 = table('mytable',
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column('myid', Integer),
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)
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table2 = table(
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'myothertable',
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column('otherid', Integer),
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)
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# test an expression with a function
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self.assert_compile(func.lala(3, 4, literal("five"),
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table1.c.myid) * table2.c.otherid,
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"lala(:lala_1, :lala_2, :param_1, mytable.myid) * "
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"myothertable.otherid")
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# test it in a SELECT
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self.assert_compile(select(
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[func.count(table1.c.myid)]),
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"SELECT count(mytable.myid) AS count_1 FROM mytable")
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# test a "dotted" function name
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self.assert_compile(select([func.foo.bar.lala(
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table1.c.myid)]),
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"SELECT foo.bar.lala(mytable.myid) AS lala_1 FROM mytable")
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# test the bind parameter name with a "dotted" function name is
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# only the name (limits the length of the bind param name)
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self.assert_compile(select([func.foo.bar.lala(12)]),
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"SELECT foo.bar.lala(:lala_2) AS lala_1")
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# test a dotted func off the engine itself
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self.assert_compile(func.lala.hoho(7), "lala.hoho(:hoho_1)")
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# test None becomes NULL
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self.assert_compile(
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func.my_func(
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1,
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2,
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None,
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3),
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"my_func(:my_func_1, :my_func_2, NULL, :my_func_3)")
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# test pickling
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self.assert_compile(
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util.pickle.loads(util.pickle.dumps(
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func.my_func(1, 2, None, 3))),
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"my_func(:my_func_1, :my_func_2, NULL, :my_func_3)")
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# assert func raises AttributeError for __bases__ attribute, since
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# its not a class fixes pydoc
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try:
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func.__bases__
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assert False
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except AttributeError:
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assert True
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def test_functions_with_cols(self):
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users = table(
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'users',
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column('id'),
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column('name'),
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column('fullname'))
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calculate = select([column('q'), column('z'), column('r')], from_obj=[
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func.calculate(
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bindparam('x', None), bindparam('y', None)
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)])
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self.assert_compile(select([users], users.c.id > calculate.c.z),
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"SELECT users.id, users.name, users.fullname "
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"FROM users, (SELECT q, z, r "
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"FROM calculate(:x, :y)) "
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"WHERE users.id > z"
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)
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s = select([users], users.c.id.between(
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calculate.alias('c1').unique_params(x=17, y=45).c.z,
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calculate.alias('c2').unique_params(x=5, y=12).c.z))
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self.assert_compile(
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s, "SELECT users.id, users.name, users.fullname "
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"FROM users, (SELECT q, z, r "
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"FROM calculate(:x_1, :y_1)) AS c1, (SELECT q, z, r "
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"FROM calculate(:x_2, :y_2)) AS c2 "
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"WHERE users.id BETWEEN c1.z AND c2.z", checkparams={
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'y_1': 45, 'x_1': 17, 'y_2': 12, 'x_2': 5})
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def test_non_functions(self):
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expr = func.cast("foo", Integer)
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self.assert_compile(expr, "CAST(:param_1 AS INTEGER)")
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expr = func.extract("year", datetime.date(2010, 12, 5))
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self.assert_compile(expr, "EXTRACT(year FROM :param_1)")
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def test_select_method_one(self):
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expr = func.rows("foo")
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self.assert_compile(
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expr.select(),
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"SELECT rows(:rows_2) AS rows_1"
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)
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def test_alias_method_one(self):
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expr = func.rows("foo")
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self.assert_compile(
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expr.alias(),
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"rows(:rows_1)"
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)
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def test_select_method_two(self):
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expr = func.rows("foo")
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self.assert_compile(
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select(['*']).select_from(expr.select()),
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"SELECT * FROM (SELECT rows(:rows_2) AS rows_1)"
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)
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def test_select_method_three(self):
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expr = func.rows("foo")
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self.assert_compile(
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select([column('foo')]).select_from(expr),
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"SELECT foo FROM rows(:rows_1)"
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)
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def test_alias_method_two(self):
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expr = func.rows("foo")
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self.assert_compile(
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select(['*']).select_from(expr.alias('bar')),
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"SELECT * FROM rows(:rows_1) AS bar"
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)
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def test_alias_method_columns(self):
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expr = func.rows("foo").alias('bar')
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# this isn't very useful but is the old behavior
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# prior to #2974.
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# testing here that the expression exports its column
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# list in a way that at least doesn't break.
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self.assert_compile(
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select([expr]),
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"SELECT bar.rows_1 FROM rows(:rows_2) AS bar"
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)
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def test_alias_method_columns_two(self):
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expr = func.rows("foo").alias('bar')
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assert len(expr.c)
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def test_funcfilter_empty(self):
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self.assert_compile(
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func.count(1).filter(),
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"count(:count_1)"
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)
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def test_funcfilter_criterion(self):
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self.assert_compile(
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func.count(1).filter(
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table1.c.name != None
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),
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"count(:count_1) FILTER (WHERE mytable.name IS NOT NULL)"
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)
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def test_funcfilter_compound_criterion(self):
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self.assert_compile(
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func.count(1).filter(
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table1.c.name == None,
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table1.c.myid > 0
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),
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"count(:count_1) FILTER (WHERE mytable.name IS NULL AND "
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"mytable.myid > :myid_1)"
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)
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def test_funcfilter_label(self):
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self.assert_compile(
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select([func.count(1).filter(
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table1.c.description != None
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).label('foo')]),
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"SELECT count(:count_1) FILTER (WHERE mytable.description "
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"IS NOT NULL) AS foo FROM mytable"
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)
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def test_funcfilter_fromobj_fromfunc(self):
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# test from_obj generation.
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# from func:
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self.assert_compile(
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select([
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func.max(table1.c.name).filter(
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literal_column('description') != None
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)
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]),
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"SELECT max(mytable.name) FILTER (WHERE description "
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"IS NOT NULL) AS anon_1 FROM mytable"
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)
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def test_funcfilter_fromobj_fromcriterion(self):
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# from criterion:
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self.assert_compile(
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select([
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func.count(1).filter(
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table1.c.name == 'name'
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)
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]),
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"SELECT count(:count_1) FILTER (WHERE mytable.name = :name_1) "
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"AS anon_1 FROM mytable"
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)
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def test_funcfilter_chaining(self):
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# test chaining:
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self.assert_compile(
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select([
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func.count(1).filter(
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table1.c.name == 'name'
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).filter(
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table1.c.description == 'description'
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)
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]),
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"SELECT count(:count_1) FILTER (WHERE "
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"mytable.name = :name_1 AND mytable.description = :description_1) "
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"AS anon_1 FROM mytable"
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)
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def test_funcfilter_windowing_orderby(self):
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# test filtered windowing:
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self.assert_compile(
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select([
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func.rank().filter(
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table1.c.name > 'foo'
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).over(
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order_by=table1.c.name
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)
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]),
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"SELECT rank() FILTER (WHERE mytable.name > :name_1) "
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"OVER (ORDER BY mytable.name) AS anon_1 FROM mytable"
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)
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def test_funcfilter_windowing_orderby_partitionby(self):
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self.assert_compile(
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select([
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func.rank().filter(
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table1.c.name > 'foo'
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).over(
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order_by=table1.c.name,
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partition_by=['description']
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)
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]),
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"SELECT rank() FILTER (WHERE mytable.name > :name_1) "
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"OVER (PARTITION BY mytable.description ORDER BY mytable.name) "
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"AS anon_1 FROM mytable"
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)
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def test_funcfilter_within_group(self):
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stmt = select([
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table1.c.myid,
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func.percentile_cont(0.5).within_group(
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table1.c.name
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)
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])
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self.assert_compile(
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stmt,
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"SELECT mytable.myid, percentile_cont(:percentile_cont_1) "
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"WITHIN GROUP (ORDER BY mytable.name) "
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"AS anon_1 "
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"FROM mytable",
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{'percentile_cont_1': 0.5}
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)
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def test_funcfilter_within_group_multi(self):
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stmt = select([
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table1.c.myid,
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func.percentile_cont(0.5).within_group(
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table1.c.name, table1.c.description
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)
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])
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self.assert_compile(
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stmt,
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"SELECT mytable.myid, percentile_cont(:percentile_cont_1) "
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"WITHIN GROUP (ORDER BY mytable.name, mytable.description) "
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"AS anon_1 "
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"FROM mytable",
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|
{'percentile_cont_1': 0.5}
|
|
)
|
|
|
|
def test_funcfilter_within_group_desc(self):
|
|
stmt = select([
|
|
table1.c.myid,
|
|
func.percentile_cont(0.5).within_group(
|
|
table1.c.name.desc()
|
|
)
|
|
])
|
|
self.assert_compile(
|
|
stmt,
|
|
"SELECT mytable.myid, percentile_cont(:percentile_cont_1) "
|
|
"WITHIN GROUP (ORDER BY mytable.name DESC) "
|
|
"AS anon_1 "
|
|
"FROM mytable",
|
|
{'percentile_cont_1': 0.5}
|
|
)
|
|
|
|
def test_funcfilter_within_group_w_over(self):
|
|
stmt = select([
|
|
table1.c.myid,
|
|
func.percentile_cont(0.5).within_group(
|
|
table1.c.name.desc()
|
|
).over(partition_by=table1.c.description)
|
|
])
|
|
self.assert_compile(
|
|
stmt,
|
|
"SELECT mytable.myid, percentile_cont(:percentile_cont_1) "
|
|
"WITHIN GROUP (ORDER BY mytable.name DESC) "
|
|
"OVER (PARTITION BY mytable.description) AS anon_1 "
|
|
"FROM mytable",
|
|
{'percentile_cont_1': 0.5}
|
|
)
|
|
|
|
def test_incorrect_none_type(self):
|
|
class MissingType(FunctionElement):
|
|
name = 'mt'
|
|
type = None
|
|
|
|
assert_raises_message(
|
|
TypeError,
|
|
"Object None associated with '.type' attribute is "
|
|
"not a TypeEngine class or object",
|
|
MissingType().compile
|
|
)
|
|
|
|
|
|
class ReturnTypeTest(fixtures.TestBase):
|
|
|
|
def test_array_agg(self):
|
|
expr = func.array_agg(column('data', Integer))
|
|
is_(expr.type._type_affinity, ARRAY)
|
|
is_(expr.type.item_type._type_affinity, Integer)
|
|
|
|
def test_mode(self):
|
|
expr = func.mode(0.5).within_group(
|
|
column('data', Integer).desc())
|
|
is_(expr.type._type_affinity, Integer)
|
|
|
|
def test_percentile_cont(self):
|
|
expr = func.percentile_cont(0.5).within_group(column('data', Integer))
|
|
is_(expr.type._type_affinity, Integer)
|
|
|
|
def test_percentile_cont_array(self):
|
|
expr = func.percentile_cont(0.5, 0.7).within_group(
|
|
column('data', Integer))
|
|
is_(expr.type._type_affinity, ARRAY)
|
|
is_(expr.type.item_type._type_affinity, Integer)
|
|
|
|
def test_percentile_cont_array_desc(self):
|
|
expr = func.percentile_cont(0.5, 0.7).within_group(
|
|
column('data', Integer).desc())
|
|
is_(expr.type._type_affinity, ARRAY)
|
|
is_(expr.type.item_type._type_affinity, Integer)
|
|
|
|
def test_cume_dist(self):
|
|
expr = func.cume_dist(0.5).within_group(
|
|
column('data', Integer).desc())
|
|
is_(expr.type._type_affinity, Numeric)
|
|
|
|
def test_percent_rank(self):
|
|
expr = func.percent_rank(0.5).within_group(
|
|
column('data', Integer))
|
|
is_(expr.type._type_affinity, Numeric)
|
|
|
|
|
|
class ExecuteTest(fixtures.TestBase):
|
|
|
|
@engines.close_first
|
|
def tearDown(self):
|
|
pass
|
|
|
|
def test_conn_execute(self):
|
|
from sqlalchemy.sql.expression import FunctionElement
|
|
from sqlalchemy.ext.compiler import compiles
|
|
|
|
class myfunc(FunctionElement):
|
|
type = Date()
|
|
|
|
@compiles(myfunc)
|
|
def compile(elem, compiler, **kw):
|
|
return compiler.process(func.current_date())
|
|
|
|
conn = testing.db.connect()
|
|
try:
|
|
x = conn.execute(func.current_date()).scalar()
|
|
y = conn.execute(func.current_date().select()).scalar()
|
|
z = conn.scalar(func.current_date())
|
|
q = conn.scalar(myfunc())
|
|
finally:
|
|
conn.close()
|
|
assert (x == y == z == q) is True
|
|
|
|
def test_exec_options(self):
|
|
f = func.foo()
|
|
eq_(f._execution_options, {})
|
|
|
|
f = f.execution_options(foo='bar')
|
|
eq_(f._execution_options, {'foo': 'bar'})
|
|
s = f.select()
|
|
eq_(s._execution_options, {'foo': 'bar'})
|
|
|
|
ret = testing.db.execute(func.now().execution_options(foo='bar'))
|
|
eq_(ret.context.execution_options, {'foo': 'bar'})
|
|
ret.close()
|
|
|
|
@engines.close_first
|
|
def test_update(self):
|
|
"""
|
|
Tests sending functions and SQL expressions to the VALUES and SET
|
|
clauses of INSERT/UPDATE instances, and that column-level defaults
|
|
get overridden.
|
|
"""
|
|
|
|
meta = MetaData(testing.db)
|
|
t = Table('t1', meta,
|
|
Column('id', Integer, Sequence('t1idseq', optional=True),
|
|
primary_key=True),
|
|
Column('value', Integer)
|
|
)
|
|
t2 = Table('t2', meta,
|
|
Column('id', Integer, Sequence('t2idseq', optional=True),
|
|
primary_key=True),
|
|
Column('value', Integer, default=7),
|
|
Column('stuff', String(20), onupdate="thisisstuff")
|
|
)
|
|
meta.create_all()
|
|
try:
|
|
t.insert(values=dict(value=func.length("one"))).execute()
|
|
assert t.select().execute().first()['value'] == 3
|
|
t.update(values=dict(value=func.length("asfda"))).execute()
|
|
assert t.select().execute().first()['value'] == 5
|
|
|
|
r = t.insert(values=dict(value=func.length("sfsaafsda"))).execute()
|
|
id = r.inserted_primary_key[0]
|
|
assert t.select(t.c.id == id).execute().first()['value'] == 9
|
|
t.update(values={t.c.value: func.length("asdf")}).execute()
|
|
assert t.select().execute().first()['value'] == 4
|
|
t2.insert().execute()
|
|
t2.insert(values=dict(value=func.length("one"))).execute()
|
|
t2.insert(values=dict(value=func.length("asfda") + -19)).\
|
|
execute(stuff="hi")
|
|
|
|
res = exec_sorted(select([t2.c.value, t2.c.stuff]))
|
|
eq_(res, [(-14, 'hi'), (3, None), (7, None)])
|
|
|
|
t2.update(values=dict(value=func.length("asdsafasd"))).\
|
|
execute(stuff="some stuff")
|
|
assert select([t2.c.value, t2.c.stuff]).execute().fetchall() == \
|
|
[(9, "some stuff"), (9, "some stuff"),
|
|
(9, "some stuff")]
|
|
|
|
t2.delete().execute()
|
|
|
|
t2.insert(values=dict(value=func.length("one") + 8)).execute()
|
|
assert t2.select().execute().first()['value'] == 11
|
|
|
|
t2.update(values=dict(value=func.length("asfda"))).execute()
|
|
eq_(
|
|
select([t2.c.value, t2.c.stuff]).execute().first(),
|
|
(5, "thisisstuff")
|
|
)
|
|
|
|
t2.update(values={t2.c.value: func.length("asfdaasdf"),
|
|
t2.c.stuff: "foo"}).execute()
|
|
print("HI", select([t2.c.value, t2.c.stuff]).execute().first())
|
|
eq_(select([t2.c.value, t2.c.stuff]).execute().first(),
|
|
(9, "foo")
|
|
)
|
|
finally:
|
|
meta.drop_all()
|
|
|
|
@testing.fails_on_everything_except('postgresql')
|
|
def test_as_from(self):
|
|
# TODO: shouldn't this work on oracle too ?
|
|
x = func.current_date(bind=testing.db).execute().scalar()
|
|
y = func.current_date(bind=testing.db).select().execute().scalar()
|
|
z = func.current_date(bind=testing.db).scalar()
|
|
w = select(['*'], from_obj=[func.current_date(bind=testing.db)]).\
|
|
scalar()
|
|
|
|
# construct a column-based FROM object out of a function,
|
|
# like in [ticket:172]
|
|
s = select([sql.column('date', type_=DateTime)],
|
|
from_obj=[func.current_date(bind=testing.db)])
|
|
q = s.execute().first()[s.c.date]
|
|
r = s.alias('datequery').select().scalar()
|
|
|
|
assert x == y == z == w == q == r
|
|
|
|
def test_extract_bind(self):
|
|
"""Basic common denominator execution tests for extract()"""
|
|
|
|
date = datetime.date(2010, 5, 1)
|
|
|
|
def execute(field):
|
|
return testing.db.execute(select([extract(field, date)])).scalar()
|
|
|
|
assert execute('year') == 2010
|
|
assert execute('month') == 5
|
|
assert execute('day') == 1
|
|
|
|
date = datetime.datetime(2010, 5, 1, 12, 11, 10)
|
|
|
|
assert execute('year') == 2010
|
|
assert execute('month') == 5
|
|
assert execute('day') == 1
|
|
|
|
def test_extract_expression(self):
|
|
meta = MetaData(testing.db)
|
|
table = Table('test', meta,
|
|
Column('dt', DateTime),
|
|
Column('d', Date))
|
|
meta.create_all()
|
|
try:
|
|
table.insert().execute(
|
|
{'dt': datetime.datetime(2010, 5, 1, 12, 11, 10),
|
|
'd': datetime.date(2010, 5, 1)})
|
|
rs = select([extract('year', table.c.dt),
|
|
extract('month', table.c.d)]).execute()
|
|
row = rs.first()
|
|
assert row[0] == 2010
|
|
assert row[1] == 5
|
|
rs.close()
|
|
finally:
|
|
meta.drop_all()
|
|
|
|
|
|
def exec_sorted(statement, *args, **kw):
|
|
"""Executes a statement and returns a sorted list plain tuple rows."""
|
|
|
|
return sorted([tuple(row)
|
|
for row in statement.execute(*args, **kw).fetchall()])
|