def test_eq_compares_name_and_data_attributes(self):
class MockRow:
name = "abcd"
data = ["1", "2"]
r = MockRow
assert Row(["abcd", "1", "2"]).__eq__(r)
def test_mock_rows(self):
assert list(mock_rows()) == [
Row(['Объем ВВП', '', '', '', '']),
Row(['млрд.рублей', '', '', '', '']),
Row(['1991', '4823', '901', '1102', '1373', '1447']),
Row(['Индекс ВВП, в % к прошлому периоду/ GDP index, percent']),
Row(['1999', '106,4', '98,1', '103,1', '111,4', '112,0']),
Row(['Индекс промышленного производства']),
Row(['в % к соответствующему периоду предыдущего года']),
Row(['1991', '102,7', '101,1', '102,2', '103,3', '104,4'])
]
def test_init(self):
# ID: Test verifies that [r for r in rows] is equivalent to list(rows)
# regardless if rows is generator or an iterable (e.g. a list)
# This allows to make robust experiments to RowStack.__init__() method.
def gen():
yield Row(["dot oo...eh", "1", "2"])
yield Row(["wed more text", "1", "2"])
yield Row(["zed some text"])
a_generator = gen()
a_list = [
Row(["dot oo...eh", "1", "2"]),
Row(["wed more text", "1", "2"]),
Row(["zed some text"]),
]
from_generator = RowStack(a_generator)
from_list = RowStack(a_list)
assert from_generator.rows == from_list.rows
def mock_rows():
yield Row(["apt extra text", "1", "2"])
yield Row(["bat aa...ah", "1", "2"])
yield Row(["can extra text", "1", "2"])
yield Row(["dot oo...eh", "1", "2"])
yield Row(["wed more text", "1", "2"])
yield Row(["zed some text"])
def test_to_rows():
csvfile = io.StringIO(full_string)
rows = list(to_rows(csvfile))
assert rows[0] == Row(["Объем ВВП"])
assert rows[1] == Row(["1999", "4823"])
assert rows[2] == Row(["2000", "7306"])
def test_pop_segment_and_remaining_rows_behaviour(self, rowstack):
b = rowstack.pop("apt", "wed")
assert len(b) == 4
c = rowstack.remaining_rows()
assert c[0] == Row(["wed more text", "1", "2"])
assert c[1] == Row(["zed some text"])
def test_pop(self, rowstack):
a = rowstack.pop("bat", "dot")
assert a == [
Row(["bat aa...ah", "1", "2"]),
Row(["can extra text", "1", "2"])
]
def gen():
yield Row(["dot oo...eh", "1", "2"])
yield Row(["wed more text", "1", "2"])
yield Row(["zed some text"])
def test_finds_one_unit(self):
unit_mapper = {"%": "pct"}
assert Row(["Rate, %"]).get_unit(unit_mapper) == "pct"
def test_on_similar_mapper_keys_finds_too_many_and_raises_error(self):
# finds too many entries, raises error
with pytest.raises(ValueError):
varname_mapper_dict = {"abc": "ZZZ", "1. ab": "YYY"}
assert Row(["1. abcd"]).get_varname(varname_mapper_dict)
def test_on_letters_inside_word_finds_nothing(self):
# will not find anything, becase 'bc' is in the middle of string
assert Row(["1. abcd"]).get_varname({"bc": "ZZZ"}) is False
def test_finds_one_varname(self):
assert Row(["1. abcd"]).get_varname({"ab": "ZZZ"}) == "ZZZ"
def test_mathches_vs_startswith(self):
row = Row(["many words in my head", "", "", ""])
# any matching word is ok for Row.matches()
# Row.startswith() only tests beginning of *Row.name*
assert row.matches("words") is True
assert row.startswith("words") is False
def test_startswith_returns_bool(self):
assert self.row1.startswith("Объем ВВП") is True
assert self.row2.startswith("Объем ВВП") is False
assert self.row1.startswith("ВВП") is False
assert Row(["1.1 Объем ВВП"]).startswith("Объем ВВП") is False
def setup_method(self):
self.row1 = Row(["Объем ВВП", "", "", "", ""])
self.row2 = Row(["1991 1)", "4823", "901", "1102", "1373", "1447"])
self.row3 = Row(["abcd", "1", "2"])
def test_get_unit_uses_first_entry_in_unit_mapper_oredered_dict(self):
unit_mapper = odict([("% change", "rog"), ("%", "pct")])
assert Row(["1. abcd, % change"]).get_unit(unit_mapper) == "rog"
assert Row(["1. abcd, % change"]).get_unit(unit_mapper) != "pct"
from csv2df.reader import Row
from csv2df.parser import Table
labels = {0: 'GDP_bln_rub',
1: 'GDP_rog',
2: 'INDPRO_yoy'}
parsed_varnames = {0: 'GDP',
1: 'GDP',
2: 'INDPRO'}
parsed_units = {0: 'bln_rub',
1: 'rog',
2: 'yoy'}
headers = {0: [Row(['Объем ВВП', '', '', '', '']),
Row(['млрд.рублей', '', '', '', ''])],
1: [Row(['Индекс ВВП, в % к прошлому периоду/ GDP index, percent'])],
2: [Row(['Индекс промышленного производства']),
Row(['в % к соответствующему периоду предыдущего года'])]
}
data_items = {0: [Row(["1991", "4823", "901", "1102", "1373", "1447"])],
1: [Row(['1991', '106,4', '98,1', '103,1', '111,4', '112,0'])],
2: [Row(['1991', '102,7', '101,1', '102,2', '103,3', '104,4'])]
}
class Sample:
"""Fixtures for testing"""
def rows(i):
def test_to_rows():
csvfile = io.StringIO(full_string)
rows = list(to_rows(csvfile))
assert rows[0] == Row(['Объем ВВП'])
assert rows[1] == Row(['1999', '4823'])
assert rows[2] == Row(['2000', '7306'])