ray/test/failure_test.py
Robert Nishihara 11a8914684 Allow users to serialize custom classes. (#393)
* Allow serialization of custom classes.

* Add documentation and test cases, also fix pickle case.

* Don't allow old-style classes.
2016-09-06 13:28:24 -07:00

166 lines
5.9 KiB
Python

import unittest
import ray
import time
import test_functions
class FailureTest(unittest.TestCase):
def testUnknownSerialization(self):
reload(test_functions)
ray.init(start_ray_local=True, num_workers=1, driver_mode=ray.SILENT_MODE)
test_functions.test_unknown_type.remote()
time.sleep(0.2)
task_info = ray.task_info()
self.assertEqual(len(task_info["failed_tasks"]), 1)
self.assertEqual(len(task_info["running_tasks"]), 0)
ray.worker.cleanup()
class TaskSerializationTest(unittest.TestCase):
def testReturnAndPassUnknownType(self):
ray.init(start_ray_local=True, num_workers=1, driver_mode=ray.SILENT_MODE)
class Foo(object):
pass
# Check that returning an unknown type from a remote function raises an
# exception.
@ray.remote
def f():
return Foo()
self.assertRaises(Exception, lambda : ray.get(f.remote()))
# Check that passing an unknown type into a remote function raises an
# exception.
@ray.remote
def g(x):
return 1
self.assertRaises(Exception, lambda : g.remote(Foo()))
ray.worker.cleanup()
class TaskStatusTest(unittest.TestCase):
def testFailedTask(self):
reload(test_functions)
ray.init(start_ray_local=True, num_workers=3, driver_mode=ray.SILENT_MODE)
test_functions.throw_exception_fct1.remote()
test_functions.throw_exception_fct1.remote()
for _ in range(100): # Retry if we need to wait longer.
if len(ray.task_info()["failed_tasks"]) >= 2:
break
time.sleep(0.1)
result = ray.task_info()
self.assertEqual(len(result["failed_tasks"]), 2)
task_ids = set()
for task in result["failed_tasks"]:
self.assertTrue(task.has_key("worker_address"))
self.assertTrue(task.has_key("operationid"))
self.assertTrue("Test function 1 intentionally failed." in task.get("error_message"))
self.assertTrue(task["operationid"] not in task_ids)
task_ids.add(task["operationid"])
x = test_functions.throw_exception_fct2.remote()
try:
ray.get(x)
except Exception as e:
self.assertTrue("Test function 2 intentionally failed."in str(e))
else:
self.assertTrue(False) # ray.get should throw an exception
x, y, z = test_functions.throw_exception_fct3.remote(1.0)
for ref in [x, y, z]:
try:
ray.get(ref)
except Exception as e:
self.assertTrue("Test function 3 intentionally failed."in str(e))
else:
self.assertTrue(False) # ray.get should throw an exception
ray.worker.cleanup()
def testFailImportingRemoteFunction(self):
ray.init(start_ray_local=True, num_workers=2, driver_mode=ray.SILENT_MODE)
# This example is somewhat contrived. It should be successfully pickled, and
# then it should throw an exception when it is unpickled. This may depend a
# bit on the specifics of our pickler.
def reducer(*args):
raise Exception("There is a problem here.")
class Foo(object):
def __init__(self):
self.__name__ = "Foo_object"
self.func_doc = ""
self.__globals__ = {}
def __reduce__(self):
return reducer, ()
def __call__(self):
return
ray.remote(Foo())
for _ in range(100): # Retry if we need to wait longer.
if len(ray.task_info()["failed_remote_function_imports"]) >= 1:
break
time.sleep(0.1)
self.assertTrue("There is a problem here." in ray.task_info()["failed_remote_function_imports"][0]["error_message"])
ray.worker.cleanup()
def testFailImportingReusableVariable(self):
ray.init(start_ray_local=True, num_workers=2, driver_mode=ray.SILENT_MODE)
# This will throw an exception when the reusable variable is imported on the
# workers.
def initializer():
if ray.worker.global_worker.mode == ray.WORKER_MODE:
raise Exception("The initializer failed.")
return 0
ray.reusables.foo = ray.Reusable(initializer)
for _ in range(100): # Retry if we need to wait longer.
if len(ray.task_info()["failed_reusable_variable_imports"]) >= 1:
break
time.sleep(0.1)
# Check that the error message is in the task info.
self.assertTrue("The initializer failed." in ray.task_info()["failed_reusable_variable_imports"][0]["error_message"])
ray.worker.cleanup()
def testFailReinitializingVariable(self):
ray.init(start_ray_local=True, num_workers=2, driver_mode=ray.SILENT_MODE)
def initializer():
return 0
def reinitializer(foo):
raise Exception("The reinitializer failed.")
ray.reusables.foo = ray.Reusable(initializer, reinitializer)
@ray.remote
def use_foo():
ray.reusables.foo
use_foo.remote()
for _ in range(100): # Retry if we need to wait longer.
if len(ray.task_info()["failed_reinitialize_reusable_variables"]) >= 1:
break
time.sleep(0.1)
# Check that the error message is in the task info.
self.assertTrue("The reinitializer failed." in ray.task_info()["failed_reinitialize_reusable_variables"][0]["error_message"])
ray.worker.cleanup()
def testFailedFunctionToRun(self):
ray.init(start_ray_local=True, num_workers=2, driver_mode=ray.SILENT_MODE)
def f(worker):
if ray.worker.global_worker.mode == ray.WORKER_MODE:
raise Exception("Function to run failed.")
ray.worker.global_worker.run_function_on_all_workers(f)
for _ in range(100): # Retry if we need to wait longer.
if len(ray.task_info()["failed_function_to_runs"]) >= 2:
break
time.sleep(0.1)
# Check that the error message is in the task info.
self.assertEqual(len(ray.task_info()["failed_function_to_runs"]), 2)
self.assertTrue("Function to run failed." in ray.task_info()["failed_function_to_runs"][0]["error_message"])
self.assertTrue("Function to run failed." in ray.task_info()["failed_function_to_runs"][1]["error_message"])
ray.worker.cleanup()
if __name__ == "__main__":
unittest.main(verbosity=2)