ray/test/failure_test.py

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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
import ray
import sys
import tempfile
import time
import unittest
import ray.test.test_functions as test_functions
if sys.version_info >= (3, 0):
from importlib import reload
def relevant_errors(error_type):
return [info for info in ray.error_info() if info[b"type"] == error_type]
def wait_for_errors(error_type, num_errors, timeout=10):
start_time = time.time()
while time.time() - start_time < timeout:
if len(relevant_errors(error_type)) >= num_errors:
return
time.sleep(0.1)
print("Timing out of wait.")
class TaskStatusTest(unittest.TestCase):
def testFailedTask(self):
reload(test_functions)
ray.init(num_workers=3, driver_mode=ray.SILENT_MODE)
test_functions.throw_exception_fct1.remote()
test_functions.throw_exception_fct1.remote()
wait_for_errors(b"task", 2)
self.assertEqual(len(relevant_errors(b"task")), 2)
for task in relevant_errors(b"task"):
self.assertIn(b"Test function 1 intentionally failed.",
task.get(b"message"))
x = test_functions.throw_exception_fct2.remote()
try:
ray.get(x)
except Exception as e:
self.assertIn("Test function 2 intentionally failed.", str(e))
else:
# ray.get should throw an exception.
self.assertTrue(False)
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.assertIn("Test function 3 intentionally failed.", str(e))
else:
# ray.get should throw an exception.
self.assertTrue(False)
ray.worker.cleanup()
def testFailImportingRemoteFunction(self):
ray.init(num_workers=2, driver_mode=ray.SILENT_MODE)
# Create the contents of a temporary Python file.
temporary_python_file = """
def temporary_helper_function():
return 1
"""
f = tempfile.NamedTemporaryFile(suffix=".py")
f.write(temporary_python_file.encode("ascii"))
f.flush()
directory = os.path.dirname(f.name)
# Get the module name and strip ".py" from the end.
module_name = os.path.basename(f.name)[:-3]
sys.path.append(directory)
module = __import__(module_name)
# Define a function that closes over this temporary module. This should
# fail when it is unpickled.
@ray.remote
def g():
return module.temporary_python_file()
wait_for_errors(b"register_remote_function", 2)
self.assertIn(b"No module named", ray.error_info()[0][b"message"])
self.assertIn(b"No module named", ray.error_info()[1][b"message"])
# Check that if we try to call the function it throws an exception and
# does not hang.
for _ in range(10):
self.assertRaises(Exception, lambda: ray.get(g.remote()))
f.close()
# Clean up the junk we added to sys.path.
sys.path.pop(-1)
ray.worker.cleanup()
def testFailedFunctionToRun(self):
ray.init(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)
wait_for_errors(b"function_to_run", 2)
# Check that the error message is in the task info.
self.assertEqual(len(ray.error_info()), 2)
self.assertIn(b"Function to run failed.",
ray.error_info()[0][b"message"])
self.assertIn(b"Function to run failed.",
ray.error_info()[1][b"message"])
ray.worker.cleanup()
def testFailImportingActor(self):
ray.init(num_workers=2, driver_mode=ray.SILENT_MODE)
# Create the contents of a temporary Python file.
temporary_python_file = """
def temporary_helper_function():
return 1
"""
f = tempfile.NamedTemporaryFile(suffix=".py")
f.write(temporary_python_file.encode("ascii"))
f.flush()
directory = os.path.dirname(f.name)
# Get the module name and strip ".py" from the end.
module_name = os.path.basename(f.name)[:-3]
sys.path.append(directory)
module = __import__(module_name)
# Define an actor that closes over this temporary module. This should
# fail when it is unpickled.
@ray.remote
class Foo(object):
def __init__(self):
self.x = module.temporary_python_file()
def get_val(self):
return 1
# There should be no errors yet.
self.assertEqual(len(ray.error_info()), 0)
# Create an actor.
foo = Foo.remote()
# Wait for the error to arrive.
wait_for_errors(b"register_actor", 1)
self.assertIn(b"No module named", ray.error_info()[0][b"message"])
# Wait for the error from when the __init__ tries to run.
wait_for_errors(b"task", 1)
self.assertIn(
b"failed to be imported, and so cannot execute this method",
ray.error_info()[1][b"message"])
# Check that if we try to get the function it throws an exception and
# does not hang.
with self.assertRaises(Exception):
ray.get(foo.get_val.remote())
# Wait for the error from when the call to get_val.
wait_for_errors(b"task", 2)
self.assertIn(
b"failed to be imported, and so cannot execute this method",
ray.error_info()[2][b"message"])
f.close()
# Clean up the junk we added to sys.path.
sys.path.pop(-1)
ray.worker.cleanup()
class ActorTest(unittest.TestCase):
def testFailedActorInit(self):
ray.init(num_workers=0, driver_mode=ray.SILENT_MODE)
error_message1 = "actor constructor failed"
error_message2 = "actor method failed"
@ray.remote
class FailedActor(object):
def __init__(self):
raise Exception(error_message1)
def get_val(self):
return 1
def fail_method(self):
raise Exception(error_message2)
a = FailedActor.remote()
# Make sure that we get errors from a failed constructor.
wait_for_errors(b"task", 1)
self.assertEqual(len(ray.error_info()), 1)
self.assertIn(error_message1,
ray.error_info()[0][b"message"].decode("ascii"))
# Make sure that we get errors from a failed method.
a.fail_method.remote()
wait_for_errors(b"task", 2)
self.assertEqual(len(ray.error_info()), 2)
self.assertIn(error_message2,
ray.error_info()[1][b"message"].decode("ascii"))
ray.worker.cleanup()
def testIncorrectMethodCalls(self):
ray.init(num_workers=0, driver_mode=ray.SILENT_MODE)
@ray.remote
class Actor(object):
def __init__(self, missing_variable_name):
pass
def get_val(self, x):
pass
# Make sure that we get errors if we call the constructor incorrectly.
# Create an actor with too few arguments.
with self.assertRaises(Exception):
a = Actor.remote()
# Create an actor with too many arguments.
with self.assertRaises(Exception):
a = Actor.remote(1, 2)
# Create an actor the correct number of arguments.
a = Actor.remote(1)
# Call a method with too few arguments.
with self.assertRaises(Exception):
a.get_val.remote()
# Call a method with too many arguments.
with self.assertRaises(Exception):
a.get_val.remote(1, 2)
# Call a method that doesn't exist.
with self.assertRaises(AttributeError):
a.nonexistent_method()
with self.assertRaises(AttributeError):
a.nonexistent_method.remote()
ray.worker.cleanup()
class WorkerDeath(unittest.TestCase):
def testWorkerDying(self):
ray.init(num_workers=0, driver_mode=ray.SILENT_MODE)
# Define a remote function that will kill the worker that runs it.
@ray.remote
def f():
eval("exit()")
f.remote()
wait_for_errors(b"worker_died", 1)
self.assertEqual(len(ray.error_info()), 1)
self.assertIn("A worker died or was killed while executing a task.",
ray.error_info()[0][b"message"].decode("ascii"))
ray.worker.cleanup()
class PutErrorTest(unittest.TestCase):
def testPutError1(self):
store_size = 10 ** 6
ray.worker._init(start_ray_local=True, driver_mode=ray.SILENT_MODE,
object_store_memory=store_size)
num_objects = 3
object_size = 4 * 10 ** 5
# Define a task with a single dependency, a numpy array, that returns
# another array.
@ray.remote
def single_dependency(i, arg):
arg = np.copy(arg)
arg[0] = i
return arg
@ray.remote
def put_arg_task():
# Launch num_objects instances of the remote task, each dependent
# on the one before it. The result of the first task should get
# evicted.
args = []
arg = single_dependency.remote(0, np.zeros(object_size,
dtype=np.uint8))
for i in range(num_objects):
arg = single_dependency.remote(i, arg)
args.append(arg)
# Get the last value to force all tasks to finish.
value = ray.get(args[-1])
assert value[0] == i
# Get the first value (which should have been evicted) to force
# reconstruction. Currently, since we're not able to reconstruct
# `ray.put` objects that were evicted and whose originating tasks
# are still running, this for-loop should hang and push an error to
# the driver.
ray.get(args[0])
put_arg_task.remote()
# Make sure we receive the correct error message.
wait_for_errors(b"put_reconstruction", 1)
ray.worker.cleanup()
def testPutError2(self):
# This is the same as the previous test, but it calls ray.put directly.
store_size = 10 ** 6
ray.worker._init(start_ray_local=True, driver_mode=ray.SILENT_MODE,
object_store_memory=store_size)
num_objects = 3
object_size = 4 * 10 ** 5
# Define a task with a single dependency, a numpy array, that returns
# another array.
@ray.remote
def single_dependency(i, arg):
arg = np.copy(arg)
arg[0] = i
return arg
@ray.remote
def put_task():
# Launch num_objects instances of the remote task, each dependent
# on the one before it. The result of the first task should get
# evicted.
args = []
arg = ray.put(np.zeros(object_size, dtype=np.uint8))
for i in range(num_objects):
arg = single_dependency.remote(i, arg)
args.append(arg)
# Get the last value to force all tasks to finish.
value = ray.get(args[-1])
assert value[0] == i
# Get the first value (which should have been evicted) to force
# reconstruction. Currently, since we're not able to reconstruct
# `ray.put` objects that were evicted and whose originating tasks
# are still running, this for-loop should hang and push an error to
# the driver.
ray.get(args[0])
put_task.remote()
# Make sure we receive the correct error message.
wait_for_errors(b"put_reconstruction", 1)
ray.worker.cleanup()
if __name__ == "__main__":
unittest.main(verbosity=2)