Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/sqlalchemy/testing/util.py
# testing/util.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
import decimal
import gc
import random
import sys
import time
import types
from ..util import decorator
from ..util import defaultdict
from ..util import inspect_getfullargspec
from ..util import jython
from ..util import py2k
from ..util import pypy
if jython:
def jython_gc_collect(*args):
"""aggressive gc.collect for tests."""
gc.collect()
time.sleep(0.1)
gc.collect()
gc.collect()
return 0
# "lazy" gc, for VM's that don't GC on refcount == 0
gc_collect = lazy_gc = jython_gc_collect
elif pypy:
def pypy_gc_collect(*args):
gc.collect()
gc.collect()
gc_collect = lazy_gc = pypy_gc_collect
else:
# assume CPython - straight gc.collect, lazy_gc() is a pass
gc_collect = gc.collect
def lazy_gc():
pass
def picklers():
picklers = set()
if py2k:
try:
import cPickle
picklers.add(cPickle)
except ImportError:
pass
import pickle
picklers.add(pickle)
# yes, this thing needs this much testing
for pickle_ in picklers:
for protocol in range(-2, pickle.HIGHEST_PROTOCOL):
yield pickle_.loads, lambda d: pickle_.dumps(d, protocol)
def round_decimal(value, prec):
if isinstance(value, float):
return round(value, prec)
# can also use shift() here but that is 2.6 only
return (value * decimal.Decimal("1" + "0" * prec)).to_integral(
decimal.ROUND_FLOOR
) / pow(10, prec)
class RandomSet(set):
def __iter__(self):
l = list(set.__iter__(self))
random.shuffle(l)
return iter(l)
def pop(self):
index = random.randint(0, len(self) - 1)
item = list(set.__iter__(self))[index]
self.remove(item)
return item
def union(self, other):
return RandomSet(set.union(self, other))
def difference(self, other):
return RandomSet(set.difference(self, other))
def intersection(self, other):
return RandomSet(set.intersection(self, other))
def copy(self):
return RandomSet(self)
def conforms_partial_ordering(tuples, sorted_elements):
"""True if the given sorting conforms to the given partial ordering."""
deps = defaultdict(set)
for parent, child in tuples:
deps[parent].add(child)
for i, node in enumerate(sorted_elements):
for n in sorted_elements[i:]:
if node in deps[n]:
return False
else:
return True
def all_partial_orderings(tuples, elements):
edges = defaultdict(set)
for parent, child in tuples:
edges[child].add(parent)
def _all_orderings(elements):
if len(elements) == 1:
yield list(elements)
else:
for elem in elements:
subset = set(elements).difference([elem])
if not subset.intersection(edges[elem]):
for sub_ordering in _all_orderings(subset):
yield [elem] + sub_ordering
return iter(_all_orderings(elements))
def function_named(fn, name):
"""Return a function with a given __name__.
Will assign to __name__ and return the original function if possible on
the Python implementation, otherwise a new function will be constructed.
This function should be phased out as much as possible
in favor of @decorator. Tests that "generate" many named tests
should be modernized.
"""
try:
fn.__name__ = name
except TypeError:
fn = types.FunctionType(
fn.__code__, fn.__globals__, name, fn.__defaults__, fn.__closure__
)
return fn
def run_as_contextmanager(ctx, fn, *arg, **kw):
"""Run the given function under the given contextmanager,
simulating the behavior of 'with' to support older
Python versions.
This is not necessary anymore as we have placed 2.6
as minimum Python version, however some tests are still using
this structure.
"""
obj = ctx.__enter__()
try:
result = fn(obj, *arg, **kw)
ctx.__exit__(None, None, None)
return result
except:
exc_info = sys.exc_info()
raise_ = ctx.__exit__(*exc_info)
if not raise_:
raise
else:
return raise_
def rowset(results):
"""Converts the results of sql execution into a plain set of column tuples.
Useful for asserting the results of an unordered query.
"""
return {tuple(row) for row in results}
def fail(msg):
assert False, msg
@decorator
def provide_metadata(fn, *args, **kw):
"""Provide bound MetaData for a single test, dropping afterwards."""
from . import config
from . import engines
from sqlalchemy import schema
metadata = schema.MetaData(config.db)
self = args[0]
prev_meta = getattr(self, "metadata", None)
self.metadata = metadata
try:
return fn(*args, **kw)
finally:
engines.drop_all_tables(metadata, config.db)
self.metadata = prev_meta
def flag_combinations(*combinations):
"""A facade around @testing.combinations() oriented towards boolean
keyword-based arguments.
Basically generates a nice looking identifier based on the keywords
and also sets up the argument names.
E.g.::
@testing.flag_combinations(
dict(lazy=False, passive=False),
dict(lazy=True, passive=False),
dict(lazy=False, passive=True),
dict(lazy=False, passive=True, raiseload=True),
)
would result in::
@testing.combinations(
('', False, False, False),
('lazy', True, False, False),
('lazy_passive', True, True, False),
('lazy_passive', True, True, True),
id_='iaaa',
argnames='lazy,passive,raiseload'
)
"""
from . import config
keys = set()
for d in combinations:
keys.update(d)
keys = sorted(keys)
return config.combinations(
*[
("_".join(k for k in keys if d.get(k, False)),)
+ tuple(d.get(k, False) for k in keys)
for d in combinations
],
id_="i" + ("a" * len(keys)),
argnames=",".join(keys)
)
def resolve_lambda(__fn, **kw):
"""Given a no-arg lambda and a namespace, return a new lambda that
has all the values filled in.
This is used so that we can have module-level fixtures that
refer to instance-level variables using lambdas.
"""
pos_args = inspect_getfullargspec(__fn)[0]
pass_pos_args = {arg: kw.pop(arg) for arg in pos_args}
glb = dict(__fn.__globals__)
glb.update(kw)
new_fn = types.FunctionType(__fn.__code__, glb)
return new_fn(**pass_pos_args)
def metadata_fixture(ddl="function"):
"""Provide MetaData for a pytest fixture."""
from . import config
def decorate(fn):
def run_ddl(self):
from sqlalchemy import schema
metadata = self.metadata = schema.MetaData()
try:
result = fn(self, metadata)
metadata.create_all(config.db)
# TODO:
# somehow get a per-function dml erase fixture here
yield result
finally:
metadata.drop_all(config.db)
return config.fixture(scope=ddl)(run_ddl)
return decorate
def force_drop_names(*names):
"""Force the given table names to be dropped after test complete,
isolating for foreign key cycles
"""
from . import config
from sqlalchemy import inspect
@decorator
def go(fn, *args, **kw):
try:
return fn(*args, **kw)
finally:
drop_all_tables(config.db, inspect(config.db), include_names=names)
return go
class adict(dict):
"""Dict keys available as attributes. Shadows."""
def __getattribute__(self, key):
try:
return self[key]
except KeyError:
return dict.__getattribute__(self, key)
def __call__(self, *keys):
return tuple([self[key] for key in keys])
get_all = __call__
def drop_all_tables(engine, inspector, schema=None, include_names=None):
from sqlalchemy import (
Column,
Table,
Integer,
MetaData,
ForeignKeyConstraint,
)
from sqlalchemy.schema import DropTable, DropConstraint
if include_names is not None:
include_names = set(include_names)
with engine.connect() as conn:
for tname, fkcs in reversed(
inspector.get_sorted_table_and_fkc_names(schema=schema)
):
if tname:
if include_names is not None and tname not in include_names:
continue
conn.execute(
DropTable(Table(tname, MetaData(), schema=schema))
)
elif fkcs:
if not engine.dialect.supports_alter:
continue
for tname, fkc in fkcs:
if (
include_names is not None
and tname not in include_names
):
continue
tb = Table(
tname,
MetaData(),
Column("x", Integer),
Column("y", Integer),
schema=schema,
)
conn.execute(
DropConstraint(
ForeignKeyConstraint([tb.c.x], [tb.c.y], name=fkc)
)
)
def teardown_events(event_cls):
@decorator
def decorate(fn, *arg, **kw):
try:
return fn(*arg, **kw)
finally:
event_cls._clear()
return decorate
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