from sqlalchemy.test.testing import eq_
import datetime
from sqlalchemy import *
from sqlalchemy.sql import table,column
from sqlalchemy import databases,sql,util
from sqlalchemy.sql.compiler import BIND_TEMPLATES
from sqlalchemy.engine import default
from sqlalchemy.test.engines import all_dialects
from sqlalchemy import types
from sqlalchemy.test import *
from sqlalchemy.sql.functions import GenericFunction
from sqlalchemy.test.testing import eq_
from decimal import Decimal
from sqlalchemy.test import testing
from sqlalchemy.databases import *
class CompileTest(TestBase, AssertsCompiledSQL):
def test_compile(self):
for dialect in all_dialects(exclude=('sybase', 'access', 'informix', 'maxdb')):
bindtemplate = BIND_TEMPLATES[dialect.paramstyle]
self.assert_compile(func.current_timestamp(), "CURRENT_TIMESTAMP", dialect=dialect)
self.assert_compile(func.localtime(), "LOCALTIME", dialect=dialect)
if isinstance(dialect, (firebird.dialect, maxdb.dialect, oracle.dialect)):
self.assert_compile(func.nosuchfunction(), "nosuchfunction", dialect=dialect)
else:
self.assert_compile(func.nosuchfunction(), "nosuchfunction()", dialect=dialect)
# test generic function compile
class fake_func(GenericFunction):
__return_type__ = sqltypes.Integer
def __init__(self, arg, **kwargs):
GenericFunction.__init__(self, args=[arg], **kwargs)
self.assert_compile(
fake_func('foo'),
"fake_func(%s)" %
bindtemplate % {'name':'param_1', 'position':1},
dialect=dialect)
def test_use_labels(self):
self.assert_compile(select([func.foo()], use_labels=True),
"SELECT foo() AS foo_1"
)
def test_underscores(self):
self.assert_compile(func.if_(), "if()")
def test_generic_now(self):
assert isinstance(func.now().type, sqltypes.DateTime)
for ret, dialect in [
('CURRENT_TIMESTAMP', sqlite.dialect()),
('now()', postgresql.dialect()),
('now()', mysql.dialect()),
('CURRENT_TIMESTAMP', oracle.dialect())
]:
self.assert_compile(func.now(), ret, dialect=dialect)
def test_generic_random(self):
assert func.random().type == sqltypes.NULLTYPE
assert isinstance(func.random(type_=Integer).type, Integer)
for ret, dialect in [
('random()', sqlite.dialect()),
('random()', postgresql.dialect()),
('rand()', mysql.dialect()),
('random', oracle.dialect())
]:
self.assert_compile(func.random(), ret, dialect=dialect)
def test_generic_count(self):
assert isinstance(func.count().type, sqltypes.Integer)
self.assert_compile(func.count(), 'count(*)')
self.assert_compile(func.count(1), 'count(:param_1)')
c = column('abc')
self.assert_compile(func.count(c), 'count(abc)')
def test_constructor(self):
try:
func.current_timestamp('somearg')
assert False
except TypeError:
assert True
try:
func.char_length('a', 'b')
assert False
except TypeError:
assert True
try:
func.char_length()
assert False
except TypeError:
assert True
def test_return_type_detection(self):
for fn in [func.coalesce, func.max, func.min, func.sum]:
for args, type_ in [
((datetime.date(2007, 10, 5),
datetime.date(2005, 10, 15)), sqltypes.Date),
((3, 5), sqltypes.Integer),
((_python_Decimal(3), _python_Decimal(5)), sqltypes.Numeric),
(("foo", "bar"), sqltypes.String),
((datetime.datetime(2007, 10, 5, 8, 3, 34),
datetime.datetime(2005, 10, 15, 14, 45, 33)), sqltypes.DateTime)
]:
assert isinstance(fn(*args).type, type_), "%s / %s" % (fn(), type_)
assert isinstance(func.concat("foo", "bar").type, sqltypes.String)
def test_assorted(self):
table1 = table('mytable',
column('myid', Integer),
)
table2 = table(
'myothertable',
column('otherid', Integer),
)
# test an expression with a function
self.assert_compile(func.lala(3, 4, literal("five"), table1.c.myid) * table2.c.otherid,
"lala(:lala_1, :lala_2, :param_1, mytable.myid) * myothertable.otherid")
# test it in a SELECT
self.assert_compile(select([func.count(table1.c.myid)]),
"SELECT count(mytable.myid) AS count_1 FROM mytable")
# test a "dotted" function name
self.assert_compile(select([func.foo.bar.lala(table1.c.myid)]),
"SELECT foo.bar.lala(mytable.myid) AS lala_1 FROM mytable")
# test the bind parameter name with a "dotted" function name is only the name
# (limits the length of the bind param name)
self.assert_compile(select([func.foo.bar.lala(12)]),
"SELECT foo.bar.lala(:lala_2) AS lala_1")
# test a dotted func off the engine itself
self.assert_compile(func.lala.hoho(7), "lala.hoho(:hoho_1)")
# test None becomes NULL
self.assert_compile(func.my_func(1,2,None,3),
"my_func(:my_func_1, :my_func_2, NULL, :my_func_3)")
# test pickling
self.assert_compile(
util.pickle.loads(util.pickle.dumps(func.my_func(1, 2, None, 3))),
"my_func(:my_func_1, :my_func_2, NULL, :my_func_3)")
# assert func raises AttributeError for __bases__ attribute, since its not a class
# fixes pydoc
try:
func.__bases__
assert False
except AttributeError:
assert True
def test_functions_with_cols(self):
users = table('users', column('id'), column('name'), column('fullname'))
calculate = select([column('q'), column('z'), column('r')],
from_obj=[func.calculate(bindparam('x'), bindparam('y'))])
self.assert_compile(select([users], users.c.id > calculate.c.z),
"SELECT users.id, users.name, users.fullname "
"FROM users, (SELECT q, z, r "
"FROM calculate(:x, :y)) "
"WHERE users.id > z"
)
s = select([users], users.c.id.between(
calculate.alias('c1').unique_params(x=17, y=45).c.z,
calculate.alias('c2').unique_params(x=5, y=12).c.z))
self.assert_compile(s,
"SELECT users.id, users.name, users.fullname "
"FROM users, (SELECT q, z, r "
"FROM calculate(:x_1, :y_1)) AS c1, (SELECT q, z, r "
"FROM calculate(:x_2, :y_2)) AS c2 "
"WHERE users.id BETWEEN c1.z AND c2.z"
, checkparams={'y_1': 45, 'x_1': 17, 'y_2': 12, 'x_2': 5})
class ExecuteTest(TestBase):
@engines.close_first
def tearDown(self):
pass
def test_standalone_execute(self):
x = testing.db.func.current_date().execute().scalar()
y = testing.db.func.current_date().select().execute().scalar()
z = testing.db.func.current_date().scalar()
assert (x == y == z) is True
# ansi func
x = testing.db.func.current_date()
assert isinstance(x.type, Date)
assert isinstance(x.execute().scalar(), datetime.date)
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
print "--------------------------"
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()
assert 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()
assert 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: shouldnt this work on oracle too ?
x = testing.db.func.current_date().execute().scalar()
y = testing.db.func.current_date().select().execute().scalar()
z = testing.db.func.current_date().scalar()
w = select(['*'], from_obj=[testing.db.func.current_date()]).scalar()
# construct a column-based FROM object out of a function, like in [ticket:172]
s = select([sql.column('date', type_=DateTime)], from_obj=[testing.db.func.current_date()])
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()])
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