Beispiel #1
0
def test_include_extra_rows():
    h1 = ["id", "age"]
    h2 = ["id", "age"]
    d1 = [["A1", 23], ["A2", 24], ["A3", 34]]
    d2 = [["A1", 23], ["A2", 24], ["A3", 34], ["A4", 34]]

    result = [[True, True], [True, True], [True, True], [False, False]]
    values = [['[A1]:[A1]', '[23]:[23]'], ['[A2]:[A2]', '[24]:[24]'],
              ['[A3]:[A3]', '[34]:[34]'], ['[]:[A4]', '[]:[34]']]
    output = comparesv.run(d1, h1, d2, h2, include_addnl_rows=True)
    assert result == output['results']
    assert values == output['values']
Beispiel #2
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def test_row_order_fuzzy():
    h1 = ["id", "age"]
    h2 = ["id", "age"]
    d1 = [["A1", 23], ["A2", 24], ["A3", 34]]
    d2 = [["A2", 24], ["A1", 23], ["A3", 34]]

    result = [[True, True], [True, True], [True, True]]
    values = [['[A1]:[A1]', '[23]:[23]'], ['[A2]:[A2]', '[24]:[24]'],
              ['[A3]:[A3]', '[34]:[34]']]
    output = comparesv.run(d1, h1, d2, h2, row_match='fuzzy')
    assert result == output['results']
    assert values == output['values']
Beispiel #3
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def test_column_order():
    h1 = ["id", "age"]
    h2 = ["age", "id"]
    d1 = [["A1", 23], ["A2", 24], ["A3", 34]]
    d2 = [[23, "A1"], [24, "A2"], [34, "A3"]]

    result = [[True, True], [True, True], [True, True]]
    values = [['[A1]:[A1]', '[23]:[23]'], ['[A2]:[A2]', '[24]:[24]'],
              ['[A3]:[A3]', '[34]:[34]']]
    output = comparesv.run(d1, h1, d2, h2)
    assert result == output['results']
    assert values == output['values']
Beispiel #4
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def test_basic_empty():
    h1 = ["id", "age"]
    h2 = ["id", "age"]
    d1 = [["A1", 23], ["A2", 24], ["", 34]]
    d2 = [["A1", 23], ["A2", 24], ["", 34]]

    result = [[True, True], [True, True], [True, True]]
    values = [['[A1]:[A1]', '[23]:[23]'], ['[A2]:[A2]', '[24]:[24]'],
              ['[]:[]', '[34]:[34]']]
    output = comparesv.run(d1, h1, d2, h2)
    assert result == output['results']
    assert values == output['values']
Beispiel #5
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def test_basic_case():
    h1 = ["id", "age"]
    h2 = ["id", "age"]
    d1 = [["A1", 23], ["A2", 24], ["A3", 34]]
    d2 = [["a1", 23], ["a2", 24], ["a3", 34]]

    result = [[True, True], [True, True], [True, True]]
    values = [['[A1]:[a1]', '[23]:[23]'], ['[A2]:[a2]', '[24]:[24]'],
              ['[A3]:[a3]', '[34]:[34]']]
    output = comparesv.run(d1, h1, d2, h2, ignore_case=True)
    assert result == output['results']
    assert values == output['values']
Beispiel #6
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def test_extra_column():
    h1 = ["id", "age", "name"]
    h2 = ["id", "age"]
    d1 = [["A1", 23, "Alpha"], ["A2", 24, "Beta"], ["A3", 34, "Gamma"]]
    d2 = [["A2", 24], ["A1", 23], ["A3", 34]]

    result = [[True, True, False], [True, True, False], [True, True, False]]
    values = [['[A1]:[A1]', '[23]:[23]', '[Alpha]:[]'],
              ['[A2]:[A2]', '[24]:[24]', '[Beta]:[]'],
              ['[A3]:[A3]', '[34]:[34]', '[Gamma]:[]']]
    output = comparesv.run(d1, h1, d2, h2, row_match='fuzzy')
    assert result == output['results']
    assert values == output['values']
Beispiel #7
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def test_fuzzy_column_order():
    h1 = ["id", "age", "building age"]
    h2 = ["age of student", "identity", "building age"]
    d1 = [["A1", 23, 100], ["A2", 24, 100], ["A3", 34, 100]]
    d2 = [[23, "A1", 100], [24, "A2", 100], [34, "A3", 100]]

    result = [[True, True, True], [True, True, True], [True, True, True]]
    values = [['[A1]:[A1]', '[23]:[23]', '[100]:[100]'],
              ['[A2]:[A2]', '[24]:[24]', '[100]:[100]'],
              ['[A3]:[A3]', '[34]:[34]', '[100]:[100]']]
    output = comparesv.run(d1, h1, d2, h2, column_match='fuzzy')
    assert result == output['results']
    assert values == output['values']
Beispiel #8
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def test_include_columns():
    h1 = ["id", "age"]
    h2 = ["id", "age", "gender"]
    d1 = [["A1", 23], ["A2", 24], ["A3", 34]]
    d2 = [["A1", 23, "M"], ["A2", 24, "F"], ["A3", 34, "O"]]

    result = [[True, True, False], [True, True, False], [True, True, False]]
    values = [['[A1]:[A1]', '[23]:[23]', '[]:[M]'],
              ['[A2]:[A2]', '[24]:[24]', '[]:[F]'],
              ['[A3]:[A3]', '[34]:[34]', '[]:[O]']]
    headers = ['id', 'age', 'gender']
    output = comparesv.run(d1, h1, d2, h2, include_addnl_columns=True)
    assert result == output['results']
    assert values == output['values']
    assert headers == output['headers']
Beispiel #9
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def test_include_extra_column():
    h1 = ["id", "age"]
    h2 = ["id", "age", "name"]
    d1 = [["A2", 24], ["A1", 23], ["A3", 34]]
    d2 = [["A1", 23, "Alpha"], ["A2", 24, "Beta"], ["A3", 34, "Gamma"]]

    output = comparesv.run(d1, h1, d2, h2, include_addnl_columns=True)
    result = [[False, False, False], [False, False, False],
              [True, True, False]]
    values = [['[A2]:[A1]', '[24]:[23]', '[]:[Alpha]'],
              ['[A1]:[A2]', '[23]:[24]', '[]:[Beta]'],
              ['[A3]:[A3]', '[34]:[34]', '[]:[Gamma]']]

    assert result == output['results']
    assert values == output['values']
Beispiel #10
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def main():
    logging.captureWarnings(True)
    logging.basicConfig(level=logging.WARN, format='Warning: %(message)s')
    warnings.formatwarning = lambda e, *args: str(e)
    sys.stderr.write('Starting up...\n')
    try:
        file1, file2, args = arguments()
        data1, headers1 = read(*file1)
        data2, headers2 = read(*file2)
        results = comparesv.run(data1, headers1, data2, headers2, ticker=ticker, **args)
        # formatted = format(results['values'],results['headers'])
        if args.get("save_output"):
            save_file("values.csv", results['headers'], results['values'])
            save_file("results.csv", results['headers'], results['results'])
        pprint(results['stats'])
        sys.stdout.flush()
    except BaseException as e:
        sys.exit(e)