tests.test_column_dt.test_init_with_default_params() - Code Metrics - Inspection of "Fix #131: A mapper function to map the frontend co..." - Pegase745/sqlalchemy-datatables - Measure and Improve Code Quality continuously with Scrutinizer

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Pull Request — master (#132)

unknown

created 2020-09-11 21:06 UTC

test_init_with_default_params() A

↳ Parent: tests.test_column_dt

Complexity

Conditions

Size

Total Lines	6
Code Lines	4

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	4
dl	0
loc	6
rs	10
c	0
b	0
f	0
cc	3
nop	0

import pytest

from datatables import ColumnDT

from .models import User


def test_init_with_default_params():
    """Return column with given default params."""
    col = ColumnDT(User.id)

    if not (col.nulls_order is None or col.search_method == "string_contains"):
        raise AssertionError()


def test_with_filter_ok():
    """Return column with a specific filter."""
    col = ColumnDT(User.name, search_method="like")

    if col.search_method != "like":
        raise AssertionError()


def test_with_valid_nulls_order():
    """Return column with a specific filter."""
    col = ColumnDT(User.name, nulls_order="nullslast")

    if col.nulls_order != "nullslast":
        raise AssertionError()


def test_with_invalid_nulls_order():
    """Return column with a specific filter."""
    with pytest.raises(ValueError):
        ColumnDT(User.name, nulls_order="invalid")


def test_with_invalid_search_method():
    """Return column with a specific filter."""
    with pytest.raises(ValueError):
        ColumnDT(User.name, search_method="invalid")


# Added by kartikeyas00
def test_with_yadcf_data_param():
    """Return Column with yadcf_data filter as false."""
    col = ColumnDT(User.name, yadcf_data=False)

    if col.yadcf_data != False:
        raise AssertionError()


1			import pytest
2
3			from datatables import ColumnDT
4
5			from .models import User
6
7
8			def test_init_with_default_params():
9			"""Return column with given default params."""
10			col = ColumnDT(User.id)
11
12			if not (col.nulls_order is None or col.search_method == "string_contains"):
13			raise AssertionError()
14
15
16			def test_with_filter_ok():
17			"""Return column with a specific filter."""
18			col = ColumnDT(User.name, search_method="like")
19
20			if col.search_method != "like":
21			raise AssertionError()
22
23
24			def test_with_valid_nulls_order():
25			"""Return column with a specific filter."""
26			col = ColumnDT(User.name, nulls_order="nullslast")
27
28			if col.nulls_order != "nullslast":
29			raise AssertionError()
30
31
32			def test_with_invalid_nulls_order():
33			"""Return column with a specific filter."""
34			with pytest.raises(ValueError):
35			ColumnDT(User.name, nulls_order="invalid")
36
37
38			def test_with_invalid_search_method():
39			"""Return column with a specific filter."""
40			with pytest.raises(ValueError):
41			ColumnDT(User.name, search_method="invalid")
42
43
44			# Added by kartikeyas00
45			def test_with_yadcf_data_param():
46			"""Return Column with yadcf_data filter as false."""
47			col = ColumnDT(User.name, yadcf_data=False)
48
49			if col.yadcf_data != False:
50			raise AssertionError()
51

Pegase745 / sqlalchemy-datatables

Pull Request — master (#132)

test_init_with_default_params() A

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