def test_6_build_incomplete_task_message(self):
# Test #6. Build task message with incomplete parameters (without 'results')
# Expected result: error is raised
configurations = [[2200.0, 8]]
expected_result = (
"Invalid parameters passed to send message via API: "
"The results(key parameter) are not provided or have invalid format!"
)
with pytest.raises(KeyError) as excinfo:
APIMessageBuilder.build('NEW', configurations=configurations)
assert expected_result in str(excinfo.value)
def test_7_build_inconsistent_task_message(self):
# Test #7. Build task message with inconsistent dimensionality of 'configurations' and 'results'
# Expected result: error is raised
configurations = [[2200.0, 8]]
results = [123, 234]
expected_result = "Different sizes of provided parameters!"
with pytest.raises(KeyError) as excinfo:
APIMessageBuilder.build('NEW',
configurations=configurations,
results=results)
assert expected_result in str(excinfo.value)
def test_5_build_invalid_task_message(self):
# Test #5. Build task message with the invalid values according to the API message format
# Expected result: error is raised, that invalid parameters are passed
expected_result = (
"Invalid parameters passed to send message via API: "
"The configurations(key parameter) are not provided or have invalid format!"
)
with pytest.raises(KeyError) as excinfo:
APIMessageBuilder.build('NEW',
configurations="Invalid string",
results="Invalid string")
assert expected_result in str(excinfo.value)
def test_9_build_incomplete_experiment_message(self):
# Test #9. Build experiment message from incomplete parameters
# Expected result: error is raised
from tools.initial_config import load_experiment_setup
expected_result = "Invalid parameters passed to send message via API: The search space description is not provided!"
experiment_description, _ = load_experiment_setup(
"./Resources/EnergyExperiment/EnergyExperiment.json")
global_config = experiment_description["General"]
with pytest.raises(KeyError) as excinfo:
APIMessageBuilder.build(
'EXPERIMENT',
global_config=global_config,
experiment_description=experiment_description)
assert expected_result in str(excinfo.value)
def test_0_build_log_message(self):
# Test #0. Build log message according to the API message format
# Expected result: the message of type 'string' is built independently on its content
expected_result = "This is log"
msg = "This is log"
actual_result = APIMessageBuilder.build('LOG', message=msg)
assert actual_result == expected_result
def test_3_build_new_task_message(self):
# Test #3. Build task message according to the API message format. The 'result' is an empty list
# Expected result: the task message of type 'list' is built. It contains the "configuration-result" pair as a dictionary.
expected_result = [{'configurations': [2200.0, 8], 'results': None}]
configurations = [[2200.0, 8]]
actual_result = APIMessageBuilder.build('NEW',
configurations=configurations,
results=[None])
assert actual_result == expected_result
def test_1_build_log_message_of_multiple_parts(self):
# Test #1. Build log message according to the API message format. Message consists of several parts
# Expected result: the single message of type 'string' is built by concatenation
expected_result = "This is log"
msg1 = "This is "
msg2 = "log"
actual_result = APIMessageBuilder.build('LOG',
message1=msg1,
message2=msg2)
assert actual_result == expected_result
def test_4_build_task_message_with_result(self):
# Test #4. Build task message according to the API message format. Use different supported message types
# Expected result: the task message of type 'list' is built. It contains the "configuration-result" pair as a dictionary.
expected_result = [{'configurations': [2200.0, 8], 'results': 123}]
configurations = [[2200.0, 8]]
results = [123]
message_types = ['DEFAULT', 'PREDICTIONS', 'FINAL']
for message_type in message_types:
actual_result = APIMessageBuilder.build(
message_type, configurations=configurations, results=results)
assert actual_result == expected_result
def test_8_build_experiment_message(self):
# Test #8. Build experiment message according to the API message format
# Expected result: the message of type 'dictionary' is built and contains all needed fields
from tools.initial_config import load_experiment_setup
experiment_description, searchspace_description = \
load_experiment_setup("./Resources/EnergyExperiment/EnergyExperiment.json")
global_config = experiment_description["General"]
actual_result = APIMessageBuilder.build(
'EXPERIMENT',
global_config=global_config,
experiment_description=experiment_description,
searchspace_description=searchspace_description)
assert actual_result["global_configuration"]
assert actual_result["experiment_description"]
assert actual_result["searchspace_description"]
def test_2_build_empty_log_message(self):
# Test #2. Build log message according to the API message format. Message is empty
# Expected result: the single empty message of type 'string' is built
expected_result = ""
actual_result = APIMessageBuilder.build('LOG')
assert actual_result == expected_result