Пример #1
0
def test_fmt_tuple_rows():
    expected = '''
╔═══════════╤═══════════════════╤═══════╤═══════════╤════════════╗
║ First     │ Second            │ Num 1 │ Num 2     │ Multiplied ║
╠═══════════╪═══════════════════╪═══════╪═══════════╪════════════╣
║           │                   │ 17    │ Four      │ 68         ║
║ 123.00  B │               123 │ 5     │ Fifty-six │ 280        ║
║ 123.00  B │               123 │ 5     │ Fifty-six │ 280        ║
║  12.06 KB │            12,345 │ 23    │ Eight     │ 184        ║
║  11.77 MB │        12,345,678 │ 4     │ Nine      │ 36         ║
║   1.15 GB │     1,234,567,890 │ 7     │ Five      │ 35         ║
║   1.12 TB │ 1,234,567,890,123 │ 7     │ Five      │ 35         ║
╚═══════════╧═══════════════════╧═══════╧═══════════╧════════════╝
'''.lstrip('\n')

    rows = [(None, None, 17, 4, None), ('123', '123', 5, 56, None),
            (123, 123, 5, 56, None), (12345, 12345, 23, 8, None),
            (12345678, 12345678, 4, 9, None),
            (1234567890, 1234567890, 7, 5, None),
            (1234567890123, 1234567890123, 7, 5, None)]

    columns = (tf.Column('First',
                         width=20,
                         formatter=tf.FormatBytes(),
                         cell_halign=tf.ColumnAlignment.AlignRight),
               tf.Column('Second',
                         formatter=tf.FormatCommas(),
                         cell_halign=tf.ColumnAlignment.AlignRight),
               tf.Column('Num 1'), tf.Column('Num 2', formatter=int2word),
               tf.Column('Multiplied', obj_formatter=multiply_tuple))

    table = tf.generate_table(rows, columns)

    assert table == expected
Пример #2
0
def test_fmt_obj_rows():
    expected = '''
╔═══════════╤═══════════════════╤═════╤═══════╤════════════╗
║           │                   │ Num │       │            ║
║ First     │ Second            │ 1   │ Num 2 │ Multiplied ║
╠═══════════╪═══════════════════╪═════╪═══════╪════════════╣
║           │                   │ 17  │ 4     │ 68         ║
║ 123.00  B │               123 │ 5   │ 56    │ 280        ║
║ 123.00  B │               123 │ 5   │ 56    │ 280        ║
║  12.06 KB │            12,345 │ 23  │ 8     │ 184        ║
║  11.77 MB │        12,345,678 │ 4   │ 9     │ 36         ║
║   1.15 GB │     1,234,567,890 │ 7   │ 5     │ 35         ║
║   1.12 TB │ 1,234,567,890,123 │ 7   │ 5     │ 35         ║
╚═══════════╧═══════════════════╧═════╧═══════╧════════════╝
'''.lstrip('\n')
    rows = [
        MyRowObject(None, None, 17, 4),
        MyRowObject('123', '123', 5, 56),
        MyRowObject(123, 123, 5, 56),
        MyRowObject(12345, 12345, 23, 8),
        MyRowObject(12345678, 12345678, 4, 9),
        MyRowObject(1234567890, 1234567890, 7, 5),
        MyRowObject(1234567890123, 1234567890123, 7, 5)
    ]

    columns = (tf.Column('First',
                         width=20,
                         attrib='field1',
                         formatter=tf.FormatBytes(),
                         cell_halign=tf.ColumnAlignment.AlignRight),
               tf.Column('Second',
                         attrib='field2',
                         formatter=tf.FormatCommas(),
                         cell_halign=tf.ColumnAlignment.AlignRight),
               tf.Column('Num 1', width=3, attrib='get_field3'),
               tf.Column('Num 2', attrib='field4'),
               tf.Column('Multiplied', obj_formatter=multiply))
    table = tf.generate_table(rows, columns)
    assert table == expected
Пример #3
0
    ],
]

# Calculate population density
for row in EXAMPLE_ITERABLE_DATA:
    row.append(row[-2] / row[-1])

# Column headers plus optional formatting info for each column
COLUMNS = [
    tf.Column('City', width=11, header_halign=tf.ColumnAlignment.AlignCenter),
    tf.Column('Province', header_halign=tf.ColumnAlignment.AlignCenter),
    'Country',  # NOTE: If you don't need any special effects, you can just pass a string
    tf.Column('Continent', cell_halign=tf.ColumnAlignment.AlignCenter),
    tf.Column('Population',
              cell_halign=tf.ColumnAlignment.AlignRight,
              formatter=tf.FormatCommas()),
    tf.Column('Area (km²)',
              width=7,
              header_halign=tf.ColumnAlignment.AlignCenter,
              cell_halign=tf.ColumnAlignment.AlignRight,
              formatter=two_dec),
    tf.Column('Pop. Density (/km²)',
              width=12,
              header_halign=tf.ColumnAlignment.AlignCenter,
              cell_halign=tf.ColumnAlignment.AlignRight,
              formatter=no_dec),
]

# ######## Table data formatted as an iterable of python objects #########

Пример #4
0
                         ['Shenzen (深圳市)', 'Guangdong', 'China', 'Asia', 13723000, 1493.32],
                         ['Guangzho (广州市)', 'Guangdong', 'China', 'Asia', 13081000, 1347.81],
                         ['Mumbai (मुंबई)', 'Maharashtra', 'India', 'Asia', 12442373, 465.78],
                         ['Istanbul (İstanbuld)', 'Istanbul', 'Turkey', 'Eurasia', 12661000, 620.29],
                         ]

# Calculate population density
for row in EXAMPLE_ITERABLE_DATA:
    row.append(row[-2] / row[-1])

# Column headers plus optional formatting info for each column
COLUMNS = [tf.Column('City', width=11, header_halign=tf.ColumnAlignment.AlignCenter),
           tf.Column('Province', header_halign=tf.ColumnAlignment.AlignCenter),
           'Country',  # NOTE: If you don't need any special effects, you can just pass a string
           tf.Column('Continent', cell_halign=tf.ColumnAlignment.AlignCenter),
           tf.Column('Population', cell_halign=tf.ColumnAlignment.AlignRight, formatter=tf.FormatCommas()),
           tf.Column('Area (km²)', width=7, header_halign=tf.ColumnAlignment.AlignCenter,
                     cell_halign=tf.ColumnAlignment.AlignRight, formatter=two_dec),
           tf.Column('Pop. Density (/km²)', width=12, header_halign=tf.ColumnAlignment.AlignCenter,
                     cell_halign=tf.ColumnAlignment.AlignRight, formatter=no_dec),
           ]


# ######## Table data formatted as an iterable of python objects #########

class CityInfo(object):
    """City information container"""

    def __init__(self, city: str, province: str, country: str, continent: str, population: int, area: float):
        self.city = city
        self.province = province