def test_print_expressions():
"""
Tests whether the WIR Extraction works for an expression with very simple nested calls
"""
test_code = cleandoc("""
print("test".isupper())
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant = WirNode(0, "test", "Constant",
CodeReference(1, 6, 1, 12))
expected_call_one = WirNode(1, "isupper", "Call",
CodeReference(1, 6, 1, 22))
expected_graph.add_edge(expected_constant,
expected_call_one,
type="caller",
arg_index=-1)
expected_call_two = WirNode(2, "print", "Call", CodeReference(1, 0, 1, 23))
expected_graph.add_edge(expected_call_one,
expected_call_two,
type="input",
arg_index=0)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_call_after_call():
"""
Tests whether the WIR Extraction works for a very simple attribute call
"""
test_code = cleandoc("""
"hello ".capitalize().count()
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant_one = WirNode(0, "hello ", "Constant",
CodeReference(1, 0, 1, 8))
expected_call_one = WirNode(1, "capitalize", "Call",
CodeReference(1, 0, 1, 21))
expected_call_two = WirNode(2, "count", "Call", CodeReference(1, 0, 1, 29))
expected_graph.add_edge(expected_constant_one,
expected_call_one,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_call_one,
expected_call_two,
type="caller",
arg_index=-1)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_string_call_attribute():
"""
Tests whether the WIR Extraction works for a very simple attribute call
"""
test_code = cleandoc("""
"hello ".join("world")
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant_one = WirNode(0, "hello ", "Constant",
CodeReference(1, 0, 1, 8))
expected_constant_two = WirNode(1, "world", "Constant",
CodeReference(1, 14, 1, 21))
expected_attribute_call = WirNode(2, "join", "Call",
CodeReference(1, 0, 1, 22))
expected_graph.add_edge(expected_constant_one,
expected_attribute_call,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_constant_two,
expected_attribute_call,
type="input",
arg_index=0)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_index_subscript_with_module_information():
"""
Tests whether the WIR Extraction works for lists
"""
test_code = cleandoc("""
import pandas as pd
data = pd.read_csv('test_path')
data['income-per-year']
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
module_info = {
CodeReference(3, 7, 3, 31): ('pandas.io.parsers', 'read_csv'),
CodeReference(4, 0, 4, 23): ('pandas.core.frame', '__getitem__')
}
extracted_wir = extractor.extract_wir()
extractor.add_runtime_info(module_info, {})
expected_graph = networkx.DiGraph()
expected_import = WirNode(0, "pandas", "Import",
CodeReference(1, 0, 1, 19))
expected_constant_one = WirNode(1, "test_path", "Constant",
CodeReference(3, 19, 3, 30))
expected_call = WirNode(2, "read_csv", "Call", CodeReference(3, 7, 3, 31),
('pandas.io.parsers', 'read_csv'))
expected_graph.add_edge(expected_import,
expected_call,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_constant_one,
expected_call,
type="input",
arg_index=0)
expected_assign = WirNode(3, "data", "Assign", CodeReference(3, 0, 3, 31))
expected_graph.add_edge(expected_call,
expected_assign,
type="input",
arg_index=0)
expected_constant_two = WirNode(4, "income-per-year", "Constant",
CodeReference(4, 5, 4, 22))
expected_index_subscript = WirNode(5, "Index-Subscript", "Subscript",
CodeReference(4, 0, 4, 23),
('pandas.core.frame', '__getitem__'))
expected_graph.add_edge(expected_assign,
expected_index_subscript,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_constant_two,
expected_index_subscript,
type="input",
arg_index=0)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def get_test_wir():
"""
Get the extracted WIR for the adult_easy pipeline with runtime info
"""
test_ast = get_adult_easy_py_ast()
extractor = WirExtractor(test_ast)
extractor.extract_wir()
wir = extractor.add_runtime_info(get_module_info(),
get_call_description_info())
return wir
def test_fails_for_unknown_ast_node_types():
"""
Tests whether the WIR Extraction fails properly for node types it can not handle yet
"""
test_code = "print(*['hello ', 'world'])"
parsed_ast = ast.parse(test_code)
exec(compile(parsed_ast, filename="<ast>", mode="exec"), {})
extractor = WirExtractor(parsed_ast)
with pytest.raises(AssertionError):
extractor.extract_wir()
def test_adult_easy_pipeline():
"""
Tests whether the WIR Extraction works for the adult_easy pipeline
"""
with open(FILE_PY) as file:
test_code = file.read()
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
assert len(extracted_wir) == 59
def test_index_assign():
"""
Tests whether the WIR Extraction works for lists
"""
test_code = cleandoc("""
import pandas as pd
data = pd.read_csv('test_path')
data['label'] = "test"
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_import = WirNode(0, "pandas", "Import",
CodeReference(1, 0, 1, 19))
expected_constant_one = WirNode(1, "test_path", "Constant",
CodeReference(3, 19, 3, 30))
expected_call = WirNode(2, "read_csv", "Call", CodeReference(3, 7, 3, 31))
expected_graph.add_edge(expected_import,
expected_call,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_constant_one,
expected_call,
type="input",
arg_index=0)
expected_assign = WirNode(3, "data", "Assign", CodeReference(3, 0, 3, 31))
expected_graph.add_edge(expected_call,
expected_assign,
type="input",
arg_index=0)
expected_constant_two = WirNode(4, "label", "Constant",
CodeReference(4, 5, 4, 12))
expected_graph.add_node(expected_constant_two)
expected_constant_three = WirNode(5, "test", "Constant",
CodeReference(4, 16, 4, 22))
expected_graph.add_node(expected_constant_three)
expected_subscript_assign = WirNode(6, 'data.label', 'Subscript-Assign',
CodeReference(4, 0, 4, 13))
expected_graph.add_edge(expected_assign,
expected_subscript_assign,
type="caller",
arg_index=-1)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_tuple_assign():
"""
Tests whether the WIR Extraction works for a very simple var usage
"""
test_code = cleandoc("""
x, y = (1, 2)
print(x)""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant_one = WirNode(1, '1', 'Constant',
CodeReference(1, 8, 1, 9))
expected_constant_two = WirNode(2, '2', 'Constant',
CodeReference(1, 11, 1, 12))
expetected_constant_tuple = WirNode(3, 'as_tuple', 'Tuple',
CodeReference(1, 7, 1, 13))
expected_graph.add_edge(expected_constant_one,
expetected_constant_tuple,
type="input",
arg_index=0)
expected_graph.add_edge(expected_constant_two,
expetected_constant_tuple,
type="input",
arg_index=1)
expected_var_x = WirNode(4, 'x', 'Assign', CodeReference(1, 0, 1, 1))
expected_var_y = WirNode(5, 'y', 'Assign', CodeReference(1, 3, 1, 4))
expected_graph.add_edge(expetected_constant_tuple,
expected_var_x,
type="input",
arg_index=0)
expected_graph.add_edge(expetected_constant_tuple,
expected_var_y,
type="input",
arg_index=0)
expected_call = WirNode(6, 'print', 'Call', CodeReference(2, 0, 2, 8))
expected_graph.add_edge(expected_var_x,
expected_call,
type="input",
arg_index=0)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_keyword():
"""
Tests whether the WIR Extraction works for function calls with keyword usage
"""
test_code = cleandoc("""
print('comma', 'separated', 'words', sep=', ')
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant_one = WirNode(0, "comma", "Constant",
CodeReference(1, 6, 1, 13))
expected_constant_two = WirNode(1, "separated", "Constant",
CodeReference(1, 15, 1, 26))
expected_constant_three = WirNode(2, "words", "Constant",
CodeReference(1, 28, 1, 35))
expected_constant_four = WirNode(3, ", ", "Constant",
CodeReference(1, 41, 1, 45))
expected_keyword = WirNode(4, "sep", "Keyword")
expected_call = WirNode(5, "print", "Call", CodeReference(1, 0, 1, 46))
expected_graph.add_edge(expected_constant_four,
expected_keyword,
type="input",
arg_index=0)
expected_graph.add_edge(expected_constant_one,
expected_call,
type="input",
arg_index=0)
expected_graph.add_edge(expected_constant_two,
expected_call,
type="input",
arg_index=1)
expected_graph.add_edge(expected_constant_three,
expected_call,
type="input",
arg_index=2)
expected_graph.add_edge(expected_keyword,
expected_call,
type="input",
arg_index=3)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_remove_all_nodes_but_calls_and_subscripts():
"""
Tests whether the WIR Extraction works for the adult_easy pipeline
"""
test_ast = get_adult_easy_py_ast()
extractor = WirExtractor(test_ast)
extractor.extract_wir()
extracted_wir_with_module_info = extractor.add_runtime_info(
get_module_info(), {})
cleaned_wir = WirToDagTransformer(
).remove_all_nodes_but_calls_and_subscripts(extracted_wir_with_module_info)
assert len(cleaned_wir) == 15
expected_graph = get_expected_cleaned_wir_adult_easy()
compare(networkx.to_dict_of_dicts(cleaned_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_print_stmt():
"""
Tests whether the WIR Extraction works for a very simple print statement
"""
test_code = "print('test')"
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_constant = WirNode(0, "test", "Constant",
CodeReference(1, 6, 1, 12))
expected_call = WirNode(1, "print", "Call", CodeReference(1, 0, 1, 13))
expected_graph.add_edge(expected_constant,
expected_call,
type="input",
arg_index=0)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
def test_tuples():
"""
Tests whether the WIR Extraction works for tuples
"""
test_code = cleandoc("""
from sklearn import preprocessing
('categorical', preprocessing.OneHotEncoder(handle_unknown='ignore'), ['education', 'workclass'])
""")
test_ast = ast.parse(test_code)
extractor = WirExtractor(test_ast)
extracted_wir = extractor.extract_wir()
expected_graph = networkx.DiGraph()
expected_import_from = WirNode(0, "sklearn", "Import",
CodeReference(1, 0, 1, 33))
expected_constant_one = WirNode(1, "categorical", "Constant",
CodeReference(3, 1, 3, 14))
expected_constant_two = WirNode(2, "ignore", "Constant",
CodeReference(3, 59, 3, 67))
expected_keyword = WirNode(3, "handle_unknown", "Keyword")
expected_graph.add_edge(expected_constant_two,
expected_keyword,
type="input",
arg_index=0)
expected_call = WirNode(4, "OneHotEncoder", "Call",
CodeReference(3, 16, 3, 68))
expected_graph.add_edge(expected_import_from,
expected_call,
type="caller",
arg_index=-1)
expected_graph.add_edge(expected_keyword,
expected_call,
type="input",
arg_index=0)
expected_constant_three = WirNode(5, "education", "Constant",
CodeReference(3, 71, 3, 82))
expected_constant_four = WirNode(6, "workclass", "Constant",
CodeReference(3, 84, 3, 95))
expected_list = WirNode(7, "as_list", "List", CodeReference(3, 70, 3, 96))
expected_graph.add_edge(expected_constant_three,
expected_list,
type="input",
arg_index=0)
expected_graph.add_edge(expected_constant_four,
expected_list,
type="input",
arg_index=1)
expected_tuple = WirNode(8, "as_tuple", "Tuple",
CodeReference(3, 0, 3, 97))
expected_graph.add_edge(expected_constant_one,
expected_tuple,
type="input",
arg_index=0)
expected_graph.add_edge(expected_call,
expected_tuple,
type="input",
arg_index=1)
expected_graph.add_edge(expected_list,
expected_tuple,
type="input",
arg_index=2)
compare(networkx.to_dict_of_dicts(extracted_wir),
networkx.to_dict_of_dicts(expected_graph))
