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test_message.py
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from dataclasses import dataclass
import unittest
from fedbiomed.common.constants import ErrorNumbers, TrainingPlanApprovalStatus
from fedbiomed.common.exceptions import FedbiomedMessageError
import fedbiomed.common.message as message
# we also want to test the decorator
from fedbiomed.common.message import catch_dataclass_exception
class TestMessage(unittest.TestCase):
'''
Test the Message class
'''
# before the tests
def setUp(self):
pass
# after the tests
def tearDown(self):
pass
#
# helper function to check failures for all Message classes
# ---------------------------------------------------------
def check_class_args(self, cls, expected_result=True, **kwargs):
result = True
# list of permitted classes
all_classes = [
message.SearchReply,
message.PingReply,
message.TrainReply,
message.AddScalarReply,
message.LogMessage,
message.ErrorMessage,
message.ApprovalReply,
message.SearchRequest,
message.PingRequest,
message.TrainRequest,
message.ListReply,
message.ListRequest,
message.TrainingPlanStatusReply,
message.TrainingPlanStatusRequest,
message.ApprovalRequest,
]
# test minimal python (only affectation) to insure
# that the exception will be trapped only on object affectation
try:
valid_class = False
for c in all_classes:
if cls == c:
# print("DEBUG: detected class:", c)
m = c(**kwargs)
valid_class = True
break
# the tester passed a bad class name to check_class_args()
if not valid_class:
self.fail("check_class_args: bad class name")
except Exception as e:
#print("===== " + str(e.__class__.__name__) + " trapped: " + str(e))
result = False
# decode all cases
if expected_result is True and result is True:
self.assertTrue(True, "check_class_args: good params detected")
if expected_result is True and result is False:
self.fail("check_class_args: good params detected as bad")
if expected_result is False and result is True:
self.fail("check_class_args: bad params detected as good")
if expected_result is False and result is False:
self.assertTrue(True, "check_class_args: bad params correclty detected")
pass
#
# create a Message class and the decorator to test the raised exception
# test also the @catch_dataclass_exception dcorator
#
@catch_dataclass_exception
@dataclass
class DummyMessage(message.Message):
"""
dummy class to fully test the Message class
"""
a: int
b: str
def test_message_01_dummy(self):
m0 = self.DummyMessage(1, "test")
# getter test
self.assertEqual(m0.get_param("a"), 1)
self.assertEqual(m0.get_param("b"), "test")
# test the validate fonction which sends an exception
# bad parameter type for a
bad_result = False
try:
m1 = self.DummyMessage(a="oh your god!", b="oh my god!")
except FedbiomedMessageError as e:
# we must arrive here, because message is malformed
bad_result = True
except Exception as e:
# we should not arrive here also
self.assertTrue(False,
"bad exception caught: " + e.__class__.__name__ + " instead of FedbiomedMessageError")
self.assertTrue(bad_result,
"dummyMessage: bad params not detected")
# bad params number
bad_result = False
try:
m2 = self.DummyMessage(1, "foobar", False)
except FedbiomedMessageError as e:
#
# we must arrive here, because message is malformed
bad_result = True
except Exception as e:
#
# @dataclass raises TypeError which is renamed
# by @catch_dataclass_exception
#
# !! we should not reach this part of the code !!
#
self.assertTrue(False, "bad exception caught: " + e.__class__.__name__)
self.assertTrue(bad_result,
"dummyMessage: bad param number not detected")
pass
def test_message_02_searchreply(self):
# verify necessary arguments of all message creation
# well formatted message
self.check_class_args(
message.SearchReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it')
# all these test should fail (not enough arguments)
self.check_class_args(
message.SearchReply,
expected_result=False,
researcher_id='toto')
self.check_class_args(
message.SearchReply,
expected_result=False,
count=666)
self.check_class_args(
message.SearchReply,
expected_result=False,
success=True)
self.check_class_args(
message.SearchReply,
expected_result=False,
databases=[1, 2, 3])
self.check_class_args(
message.SearchReply,
expected_result=False,
node_id='toto')
self.check_class_args(
message.SearchReply,
expected_result=False,
command="toto")
# too much arguments
self.check_class_args(
message.SearchReply,
expected_result=False,
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it',
extra_arg="not_allowed"
)
# all the following should be bad (bad argument type)
self.check_class_args(
message.SearchReply,
expected_result=False,
researcher_id='toto',
protocol_version='99.99',
success=True,
databases=[1, 2, 3],
count="not_an_integer",
node_id='titi',
command='do_it')
self.check_class_args(
message.SearchReply,
expected_result=False,
researcher_id=True,
protocol_version='99.99',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it')
self.check_class_args(
message.SearchReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id=True,
command='do_it')
self.check_class_args(
message.SearchReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command=True)
self.check_class_args(
message.SearchReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases="not a list",
count=666,
node_id='titi',
command='do_it')
self.check_class_args(
message.SearchReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success="not_a_boolean",
databases=[],
count=666,
node_id='titi',
command='do_it')
pass
def test_message_03_pingreply(self):
# verify necessary arguments of all message creation
# well formatted message
self.check_class_args(
message.PingReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
sequence=100,
success=True,
command='do_it')
# bad formetted messages
self.check_class_args(
message.PingReply,
expected_result=False,
researcher_id='toto')
self.check_class_args(
message.PingReply,
expected_result=False,
node_id='titi')
self.check_class_args(
message.PingReply,
expected_result=False,
success=False)
self.check_class_args(
message.PingReply,
expected_result=False,
command='do_it')
self.check_class_args(
message.PingReply,
expected_result=False,
sequence=100
)
self.check_class_args(
message.PingReply,
expected_result=False,
researcher_id='toto',
node_id='titi',
success=True,
sequence=100,
command='do_it',
extra_arg='foobar')
# bad argument type
self.check_class_args(
message.PingReply,
expected_result=False,
protocol_version='99.99',
researcher_id=True,
node_id='titi',
success=True,
sequence=100,
command='do_it')
self.check_class_args(
message.PingReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
node_id=True,
success=True,
sequence=100,
command='do_it')
self.check_class_args(
message.PingReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
success='not_a_bool',
sequence=100,
command='do_it')
self.check_class_args(
message.PingReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
success='not_a_bool',
sequence=False,
command='do_it')
self.check_class_args(
message.PingReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
success=True,
command=True)
pass
def test_message_04_trainreply(self):
# well formatted message
self.check_class_args(
message.TrainReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
sample_size=123,
msg='message_in_a_bottle',
command='do_it')
# bad param number
self.check_class_args(
message.TrainReply,
expected_result=False,
researcher_id='toto')
self.check_class_args(
message.TrainReply,
expected_result=False,
job_id='job')
self.check_class_args(
message.TrainReply,
expected_result=False,
success=True)
self.check_class_args(
message.TrainReply,
expected_result=False,
node_id='titi')
self.check_class_args(
message.TrainReply,
expected_result=False,
dataset_id='my_data')
self.check_class_args(
message.TrainReply,
expected_result=False,
params_url='string_param')
self.check_class_args(
message.TrainReply,
expected_result=False,
params_url='string_param')
self.check_class_args(
message.TrainReply,
expected_result=False,
timing={"t0": 0.0, "t1": 1.0})
self.check_class_args(
message.TrainReply,
expected_result=False,
msg='message_in_a_bottle')
self.check_class_args(
message.TrainReply,
expected_result=False,
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
sample_size=None,
command='do_it',
extra_param='dont_know_what_to_do_with_you')
# bad param type
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id=True,
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id=True,
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success='not_a_bool',
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id=True,
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id=True,
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url=True,
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing="not_a_dict",
msg='message_in_a_bottle',
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg=True,
command='do_it')
self.check_class_args(
message.TrainReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
job_id='job',
success=True,
node_id='titi',
dataset_id='my_data',
params_url='string_param',
timing={"t0": 0.0, "t1": 1.0},
msg='message_in_a_bottle',
command=True)
pass
def test_message_05_listreply(self):
# well formatted message
self.check_class_args(
message.ListReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it')
# all these test should fail (not enough arguments)
self.check_class_args(
message.ListReply,
expected_result=False,
researcher_id='toto')
self.check_class_args(
message.ListReply,
expected_result=False,
count=666)
self.check_class_args(
message.ListReply,
expected_result=False,
success=True)
self.check_class_args(
message.ListReply,
expected_result=False,
databases=[1, 2, 3])
self.check_class_args(
message.ListReply,
expected_result=False,
node_id='toto')
self.check_class_args(
message.ListReply,
expected_result=False,
command="toto")
# too much arguments
self.check_class_args(
message.ListReply,
expected_result=False,
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it',
extra_arg="not_allowed"
)
# all the following should be bad (bad argument type)
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count="not_an_integer",
node_id='titi',
command='do_it')
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id=True,
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command='do_it')
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id=True,
command='do_it')
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases=[1, 2, 3],
count=666,
node_id='titi',
command=True)
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success=True,
databases="not a list",
count=666,
node_id='titi',
command='do_it')
self.check_class_args(
message.ListReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
success="not_a_boolean",
databases=[],
count=666,
node_id='titi',
command='do_it')
def test_message_06_addscalarreply(self):
# well formatted message
self.check_class_args(
message.AddScalarReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
job_id='tutu',
train=True,
test=True,
test_on_local_updates= True,
test_on_global_updates= True,
metric={'x': 12},
iteration=666,
epoch=12,
total_samples=12,
batch_samples=12,
num_batches=12,
num_samples_trained=12,
command='do_it')
# bad param number
self.check_class_args(
message.AddScalarReply,
expected_result=False,
researcher_id='toto')
self.check_class_args(
message.AddScalarReply,
expected_result=False,
researcher_id='toto',
node_id='titi',
job_id='tutu',
iteration=666,
command='do_it',
extra_arg='???')
# bad param type
self.check_class_args(
message.AddScalarReply,
expected_result=False,
protocol_version='99.99',
researcher_id=False,
node_id='titi',
job_id='tutu',
train=True,
test=True,
test_on_local_updates=True,
test_on_global_updates=True,
metric={'x': 12},
iteration=666,
epoch=12,
total_samples=12,
batch_samples=12,
num_batches=12,
command='add_scalar')
self.check_class_args(
message.AddScalarReply,
expected_result=False,
protocol_version='99.99',
researcher_id=False,
node_id='titi',
job_id='tutu',
train=True,
test=True,
test_on_local_updates=True,
test_on_global_updates=True,
metric='pp', # False
iteration=666,
epoch=12,
total_samples=12,
batch_samples=12,
num_batches=12,
command='add_scalar')
self.check_class_args(
message.AddScalarReply,
expected_result=False,
protocol_version='99.99',
researcher_id=False,
node_id='titi',
job_id='tutu',
train=True,
test=True,
test_on_local_updates=True,
test_on_global_updates=True,
metric={'x' : 12},
iteration='666',
epoch='12',
total_samples='12', # False
batch_samples='12', # False
num_batches='12', # False
command='add_scalar')
self.check_class_args(
message.AddScalarReply,
expected_result=False,
protocol_version='99.99',
researcher_id=False,
node_id='titi',
job_id='tutu',
train='True', # False
test='True', # False
test_on_local_updates="True", # False
test_on_global_updates='True', # False
metric={'x' : 12},
iteration=666,
epoch=12,
total_samples=12,
batch_samples=12,
num_batches=12,
command='add_scalar')
pass
def test_message_07_modelstatusreply(self):
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=True,
protocol_version='99.99',
researcher_id='toto',
node_id='titi',
job_id='titi',
success=True,
approval_obligation=True,
status=TrainingPlanApprovalStatus.APPROVED.value,
msg='sdrt',
training_plan_url='url',
command='do_it')
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id='toto',
node_id=12334,
job_id='titi',
success=True,
approval_obligation=True,
status=TrainingPlanApprovalStatus.REJECTED.value,
msg='sdrt',
training_plan_url='url',
command='do_it')
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id=12344,
node_id='12334',
job_id='titi',
success=True,
approval_obligation=True,
status=TrainingPlanApprovalStatus.PENDING.value,
msg='sdrt',
training_plan_url='url',
command='do_it')
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id='12344',
node_id='12334',
job_id='titi',
success=True,
approval_obligation=True,
status=True,
msg='sdrt',
training_plan_url='url',
command='do_it')
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id='12344',
node_id='12334',
job_id='titi',
success=True,
approval_obligation='True',
status='None',
msg='sdrt',
training_plan_url='url',
command='do_it')
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id=333,
node_id=1212,
job_id=False,
success='not a bool',
approval_obligation=True,
status=TrainingPlanApprovalStatus.PENDING.value,
msg='sdrt',
training_plan_url=123123,
command=True)
self.check_class_args(
message.TrainingPlanStatusReply,
expected_result=False,
protocol_version='99.99',
researcher_id=333,
node_id=1212,
job_id=False,
success='not a bool',
approval_obligation=True,
status=TrainingPlanApprovalStatus.REJECTED.value,
msg='sdrt')