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Needed to add a test_planner_interface suite
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Evana Gizzi
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Oct 6, 2023
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214
test/onair/src/ai_components/test_planners_interface.py
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# GSC-19165-1, "The On-Board Artificial Intelligence Research (OnAIR) Platform" | ||
# | ||
# Copyright © 2023 United States Government as represented by the Administrator of | ||
# the National Aeronautics and Space Administration. No copyright is claimed in the | ||
# United States under Title 17, U.S. Code. All Other Rights Reserved. | ||
# | ||
# Licensed under the NASA Open Source Agreement version 1.3 | ||
# See "NOSA GSC-19165-1 OnAIR.pdf" | ||
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""" Test PlannersInterface Functionality """ | ||
import pytest | ||
from mock import MagicMock | ||
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import onair.src.ai_components.planners_interface as planners_interface | ||
from onair.src.ai_components.planners_interface import PlannersInterface | ||
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import importlib | ||
from typing import Dict | ||
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# __init__ tests | ||
def test_PlannersInterface__init__sets_instance_headers_to_given_headers_and_does_nothing_else_when_given__ai_plugins_is_empty(mocker): | ||
# Arrange | ||
arg_headers = [] | ||
arg__ai_plugins = {} | ||
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num_fake_headers = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 headers (0 has own test) | ||
for i in range(num_fake_headers): | ||
arg_headers.append(MagicMock()) | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
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# Act | ||
cut.__init__(arg_headers, arg__ai_plugins) | ||
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# Assert | ||
assert cut.headers == arg_headers | ||
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def test_PlannersInterface__init__throws_AttributeError_when_given_module_file_has_no_attribute_Plugin(mocker): | ||
# Arrange | ||
fake_module_name = MagicMock() | ||
arg_headers = [] | ||
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arg__ai_plugins = {MagicMock()} | ||
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# Act | ||
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# Assert | ||
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def test_PlannersInterfacee__init__sets_instance_ai_constructs_to_a_list_of_the_calls_AIPlugIn_with_plugin_and_given_headers_for_each_item_in_given__ai_plugins_when_given__ai_plugins_is_occupied(mocker): | ||
# Arrange | ||
arg_headers = [] | ||
arg__ai_plugins = {} | ||
fake_spec_list = [] | ||
fake_module_list = [] | ||
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num_fake_headers = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 headers (0 has own test) | ||
for i in range(num_fake_headers): | ||
arg_headers.append(MagicMock()) | ||
num_fake_ai_plugins = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 (0 has own test) | ||
for i in range(num_fake_ai_plugins): | ||
arg__ai_plugins[str(MagicMock())] = str(MagicMock()) | ||
fake_spec_list.append(MagicMock()) | ||
fake_module_list.append(MagicMock()) | ||
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expected_ai_constructs = [] | ||
for i in range(num_fake_ai_plugins): | ||
expected_ai_constructs.append(MagicMock()) | ||
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# mocker.patch('importlib.import_module', return_value=fake_imported_module) | ||
mocker.patch('importlib.util.spec_from_file_location',side_effect=fake_spec_list) | ||
mocker.patch('importlib.util.module_from_spec',side_effect=fake_module_list) | ||
for spec in fake_spec_list: | ||
mocker.patch.object(spec,'loader.exec_module') | ||
for i, module in enumerate(fake_module_list): | ||
mocker.patch.object(module,'Plugin',return_value=expected_ai_constructs[i]) | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
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# Act | ||
cut.__init__(arg_headers, arg__ai_plugins) | ||
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# Assert | ||
assert importlib.util.spec_from_file_location.call_count == len(arg__ai_plugins) | ||
assert importlib.util.module_from_spec.call_count == len(fake_spec_list) | ||
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for i in range(num_fake_ai_plugins): | ||
fake_name = list(arg__ai_plugins.keys())[i] | ||
fake_path = arg__ai_plugins[fake_name] | ||
assert importlib.util.spec_from_file_location.call_args_list[i].args == (fake_name,fake_path) | ||
assert importlib.util.module_from_spec.call_args_list[i].args == (fake_spec_list[i],) | ||
assert fake_spec_list[i].loader.exec_module.call_count == 1 | ||
assert fake_spec_list[i].loader.exec_module.call_args_list[0].args == (fake_module_list[i],) | ||
assert fake_module_list[i].Plugin.call_count == 1 | ||
assert fake_module_list[i].Plugin.call_args_list[0].args == (fake_name,arg_headers) | ||
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assert cut.ai_constructs == expected_ai_constructs | ||
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# update tests | ||
def test_PlannersInterface_update_only_calls_flotify_input_with_given_curr_data_and_status_to_oneHot_with_given_status_when_instance_ai_constructs_is_empty(mocker): | ||
# Arrange | ||
arg_curr_data = MagicMock() | ||
arg_status = MagicMock() | ||
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mocker.patch(planners_interface.__name__ + '.status_to_oneHot') | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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# Act | ||
result = cut.update(arg_curr_data, arg_status) | ||
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# Assert | ||
assert planners_interface.status_to_oneHot.call_count == 1 | ||
assert planners_interface.status_to_oneHot.call_args_list[0].args == (arg_status,) | ||
assert result == None | ||
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def test_PlannersInterface_update_calls_flotify_input_with_given_curr_data_and_status_to_oneHot_with_given_status_and_calls_update_on_each_ai_construct_with_input_data_when_instance_ai_constructs_is_occupied(mocker): | ||
# Arrange | ||
arg_curr_data = MagicMock() | ||
arg_status = MagicMock() | ||
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mocker.patch(planners_interface.__name__ + '.status_to_oneHot') | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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num_fake_ai_constructs = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 (0 has own test) | ||
for i in range(num_fake_ai_constructs): | ||
fake_ai_construct = MagicMock() | ||
cut.ai_constructs.append(fake_ai_construct) | ||
mocker.patch.object(fake_ai_construct, 'update') | ||
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# Act | ||
result = cut.update(arg_curr_data, arg_status) | ||
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# Assert | ||
assert planners_interface.status_to_oneHot.call_count == 1 | ||
assert planners_interface.status_to_oneHot.call_args_list[0].args == (arg_status,) | ||
for i in range(num_fake_ai_constructs): | ||
assert cut.ai_constructs[i].update.call_count == 1 | ||
assert cut.ai_constructs[i].update.call_args_list[0].args == (arg_curr_data,) | ||
assert result == None | ||
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# apriori_training tests | ||
def test_PlannersInterface_apriori_training_does_nothing_when_instance_ai_constructs_is_empty(): | ||
# Arrange | ||
arg_batch_data = MagicMock() | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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# Act | ||
result = cut.apriori_training(arg_batch_data) | ||
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# Assert | ||
assert result == None | ||
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def test_PlannersInterface_apriori_training_calls_apriori_training_on_each_ai_constructs_item(mocker): | ||
# Arrange | ||
arg_batch_data = MagicMock() | ||
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cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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num_fake_ai_constructs = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 (0 has own test) | ||
for i in range(num_fake_ai_constructs): | ||
cut.ai_constructs.append(MagicMock()) | ||
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# Act | ||
result = cut.apriori_training(arg_batch_data) | ||
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# Assert | ||
for i in range(num_fake_ai_constructs): | ||
assert cut.ai_constructs[i].apriori_training.call_count == 1 | ||
assert cut.ai_constructs[i].apriori_training.call_args_list[0].args == (arg_batch_data, ) | ||
assert result == None | ||
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# render_reasoning tests | ||
def test_PlannersInterface_render_reasoning_returns_empty_dict_when_instance_ai_constructs_is_empty(mocker): | ||
# Arrange | ||
cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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# Act | ||
result = cut.render_reasoning() | ||
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# Assert | ||
assert result == {} | ||
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def test_PlannersInterface_render_reasoning_returns_dict_of_each_ai_construct_as_key_to_the_result_of_its_render_reasoning_when_instance_ai_constructs_is_occupied(mocker): | ||
# Arrange | ||
cut = PlannersInterface.__new__(PlannersInterface) | ||
cut.ai_constructs = [] | ||
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expected_result = {} | ||
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num_fake_ai_constructs = pytest.gen.randint(1, 10) # arbitrary, from 1 to 10 (0 has own test) | ||
for i in range(num_fake_ai_constructs): | ||
fake_ai_construct = MagicMock() | ||
forced_return_ai_construct_render_reasoning = MagicMock() | ||
cut.ai_constructs.append(fake_ai_construct) | ||
mocker.patch.object(fake_ai_construct, 'render_reasoning', return_value=forced_return_ai_construct_render_reasoning) | ||
fake_ai_construct.component_name = MagicMock() | ||
expected_result[fake_ai_construct.component_name] = forced_return_ai_construct_render_reasoning | ||
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# Act | ||
result = cut.render_reasoning() | ||
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# Assert | ||
for i in range(num_fake_ai_constructs): | ||
assert cut.ai_constructs[i].render_reasoning.call_count == 1 | ||
assert cut.ai_constructs[i].render_reasoning.call_args_list[0].args == () | ||
assert result == expected_result |
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