| | """Module for testing DictDefault class""" |
| |
|
| |
|
| | import unittest |
| |
|
| | import pytest |
| |
|
| | from axolotl.utils.dict import DictDefault |
| |
|
| |
|
| | class DictDefaultTest(unittest.TestCase): |
| | """ |
| | Test DictDefault class |
| | """ |
| |
|
| | def test_dict_default(self): |
| | cfg = DictDefault( |
| | { |
| | "key_a": {"key_b": "value_a"}, |
| | "key_c": "value_c", |
| | "key_d": ["value_d", "value_e"], |
| | } |
| | ) |
| |
|
| | assert ( |
| | cfg.key_a.key_b == "value_a" |
| | ), "DictDefault should return value for existing nested keys" |
| |
|
| | assert ( |
| | cfg.key_c == "value_c" |
| | ), "DictDefault should return value for existing keys" |
| |
|
| | assert ( |
| | cfg.key_d[0] == "value_d" |
| | ), "DictDefault should return value for existing keys in list" |
| |
|
| | assert ( |
| | "value_e" in cfg.key_d |
| | ), "DictDefault should support in operator for existing keys in list" |
| |
|
| | def test_dict_or_operator(self): |
| | cfg = DictDefault({"key_a": {"key_b": "value_b"}, "key_f": "value_g"}) |
| |
|
| | cfg = cfg | DictDefault( |
| | { |
| | "key_a": {"key_b": "value_a"}, |
| | "key_c": "value_c", |
| | "key_d": ["value_d", "value_e"], |
| | "key_f": "value_f", |
| | } |
| | ) |
| |
|
| | assert ( |
| | cfg.key_a.key_b == "value_b" |
| | ), "DictDefault should support OR operator for existing nested keys" |
| |
|
| | assert cfg.key_c == "value_c", "DictDefault should not delete existing key" |
| |
|
| | assert cfg.key_d == [ |
| | "value_d", |
| | "value_e", |
| | ], "DictDefault should not overwrite existing keys in list" |
| |
|
| | assert ( |
| | cfg.key_f == "value_g" |
| | ), "DictDefault should support OR operator for existing key" |
| |
|
| | def test_dict_missingkey(self): |
| | cfg = DictDefault({}) |
| |
|
| | assert cfg.random_key is None, "DictDefault should return None for missing keys" |
| |
|
| | def test_dict_or(self): |
| | cfg = DictDefault({}) | DictDefault({}) |
| |
|
| | assert ( |
| | cfg.random_key is None |
| | ), "DictDefault should return None for missing keys after | operation" |
| |
|
| | def test_dict_nested_missingparentkey(self): |
| | """ |
| | Due to subclassing Dict, DictDefault will error if we try to access a nested key whose parent key does not exist. |
| | """ |
| | cfg = DictDefault({}) |
| |
|
| | with pytest.raises( |
| | AttributeError, |
| | match=r"'NoneType' object has no attribute 'another_random_key'", |
| | ): |
| | cfg.random_key.another_random_key = "value" |
| |
|
| | def test_dict_shorthand_assignment(self): |
| | """ |
| | Shorthand assignment is said to not be supported if subclassed. However, their example raises error instead of None. |
| | This test ensures that it is supported for current implementation. |
| | |
| | Ref: https://github.com/mewwts/addict#default-values |
| | """ |
| |
|
| | cfg = DictDefault({"key_a": {"key_b": "value_a"}}) |
| |
|
| | cfg.key_a.key_b = "value_b" |
| |
|
| | assert cfg.key_a.key_b == "value_b", "Shorthand assignment should be supported" |
| |
|