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# 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