tests.test_column_dt

Complexity

Total Complexity

13

Size/Duplication

Total Lines	51
Duplicated Lines	0 %

Importance

Changes

0

6 Functions

Rating	Name	Duplication	Size	Complexity
A	test_init_with_default_params()	0	6	3
A	test_with_filter_ok()	0	6	2
A	test_with_valid_nulls_order()	0	6	2
A	test_with_invalid_search_method()	0	4	2
A	test_with_invalid_nulls_order()	0	4	2
A	test_with_yadcf_data_param()	0	6	2

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()