pytest dicts comparison

dicts.py

"""
Run it with:
    pytest dicts.py --tb=short
"""
import dictdiffer
import json
import pytest


@pytest.fixture
def dicts_are_same(pytestconfig):
    verbose = pytestconfig.getoption('verbose')

    def check_objects(d1, d2, verbose=1):
        if d1 == d2:
            return True
        else:
            diff_chunks = dictdiffer.diff(d1, d2)
            diff = '\n'.join([
                ' => %s: at key %r values are different | Left: %r | Right: %r' % (
                    action.upper(), path, values[0], values[1]
                )
                for action, path, values in diff_chunks
            ])
            sep = '\n' + ('=' * 80) + '\n'
            msg_lines = [
                'Provided items are NOT the same.',
                'Left:',
                as_json(d1),
                sep,
                'Right:',
                as_json(d2),
                sep,
                'Diff:',
                diff,
            ]
            pytest.fail('\n\n'.join(msg_lines))

    def as_json(d):
        return json.dumps(d, sort_keys=True, indent=2)

    return check_objects


def test_compare_dicts(dicts_are_same):
    result = {
        "name": {
            "first": "juvena",
            "last": "rodrigues",
            "title": "miss"
        },
        "nat": "BR",
        "phone": "(75) 9072-2545",
        "email": "juvena.rodrigues@example.com",
        "gender": "female",
        "location": {
            "city": "arapiraca",
            "postcode": 27146,
            "state": "minas gerais",
            "street": "4903 rua bela vista ",
        }
    }

    expected_data = {
        "name": {
            "first": "Juvena",
            "last": "Rodrigues",
            "title": "miss"
        },
        "nat": "BR",
        "phone": "(75) 9072-2545",
        "email": "juvenarodrigues@example.com",
        "gender": "female",
        "location": {
            "city": "Arapiraca",
            "postcode": 21746,
            "state": "minas gerais",
            "street": "4903 rua bela vista ",
        }
    }

    assert dicts_are_same(result, expected_data)