def test_non_dict_model():
model = []
with pytest.raises(AHPTypeMismatchError) as err:
parse(model)
assert err.value.var == 'model'
assert err.value.expected == 'dict'
assert err.value.actual == 'list'
def test_model_with_missing_method():
model = {
'criteria': ['A', 'B'],
'subCriteria': {},
'alternatives': ['D', 'E', 'F'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:A': [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
'alternatives:B': [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
}
}
with pytest.raises(AHPFieldEmptyError) as err:
parse(model)
assert err.value.var == 'method'
def test_model_with_unsupported_method():
model = {
'method': 'ahp',
'criteria': ['A', 'B'],
'subCriteria': {},
'alternatives': ['D', 'E', 'F'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:A': [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
'alternatives:B': [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
}
}
with pytest.raises(AHPMethodUnsupportedError) as err:
parse(model)
assert err.value.actual == 'ahp'
def test_model_with_missing_alternative_pm():
model = {
'method': 'geometric',
'criteria': ['A', 'B'],
'subCriteria': {},
'alternatives': ['C', 'D', 'E'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:A': [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
}
}
with pytest.raises(AHPMissingPreferenceMatrixError) as err:
parse(model)
assert err.value.kind == 'alternatives'
assert err.value.name == 'B'
def test_model_with_non_string_criteria():
model = {
'method': 'geometric',
'criteria': [1, 2],
'subCriteria': {},
'alternatives': ['D', 'E', 'F'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:1': [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
'alternatives:2': [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
}
}
with pytest.raises(AHPTypeMismatchError) as err:
parse(model)
assert err.value.var == 'criteria'
assert err.value.expected == 'str'
assert err.value.actual == 'int'
def test_model_with_non_string_method():
model = {
'method': ['eigenvalue'],
'criteria': ['A', 'B'],
'subCriteria': {},
'alternatives': ['D', 'E', 'F'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:A': [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
'alternatives:B': [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
}
}
with pytest.raises(AHPTypeMismatchError) as err:
parse(model)
assert err.value.var == 'method'
assert err.value.expected == 'str'
assert err.value.actual == 'list'
def test_model_with_non_square_alternative_pm():
model = {
'method': 'geometric',
'criteria': ['A', 'B'],
'subCriteria': {},
'alternatives': ['C', 'D', 'E'],
'preferenceMatrices': {
'criteria': [[1, 2], [0.5, 1]],
'alternatives:A': [[1, 1], [1, 1], [1, 1]],
'alternatives:B': [[1, 1, 1], [1, 1, 1], [1, 1, 1]]
}
}
with pytest.raises(AHPNonSquarePreferenceMatrixError) as err:
parse(model)
assert err.value.kind == 'alternatives'
assert err.value.name == 'A'
assert err.value.side == 3
assert err.value.actual_width == 3
assert err.value.actual_height == 2
def main():
"""Main function of the script.
This function parses the command line arguments, validates and creates the AHP models
and prints the summary of all the AHP models.
"""
args = parse_args()
models = {file: json.load(open(file)) for file in args.file}
for name, model in models.items():
print('[+] {}'.format(model.get('name', name)))
try:
ahp_model = parse(model)
print('\tMethod: {}'.format(model['method']))
print_priorities(model['alternatives'], ahp_model.get_priorities())
except Exception as err:
print('\t[-] ERROR:{} {}'.format(err.__class__.__name__, err))
def test_empty_model():
model = {}
with pytest.raises(AHPModelError):
parse(model)
