Skip to content

update_dict

kedro_azureml_pipeline.utils.update_dict(dictionary, *kv_pairs)

Return a deep copy of dictionary with nested keys updated.

Parameters

Name Type Description Default
dictionary dict

Source dictionary to copy.

 required
*kv_pairs tuple of (str, Any)

Key-value pairs where keys use dot notation for nesting (e.g. "a.b.c"). Each pair is a 2-tuple.

 ()

Returns

Type Description
dict

Updated deep copy.

See Also

CliContext : Carries env/metadata through CLI. KedroContextManager : Manages Kedro session and config.

Source Code

View on GitHub

Show/Hide source 
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
def update_dict(dictionary, *kv_pairs):
    """Return a deep copy of *dictionary* with nested keys updated.

    Parameters
    ----------
    dictionary : dict
        Source dictionary to copy.
    *kv_pairs : tuple of (str, Any)
        Key-value pairs where keys use dot notation for nesting
        (e.g. ``"a.b.c"``). Each pair is a 2-tuple.

    Returns
    -------
    dict
        Updated deep copy.

    See Also
    --------
    [CliContext][kedro_azureml_pipeline.utils.CliContext] : Carries env/metadata through CLI.
    [KedroContextManager][kedro_azureml_pipeline.manager.KedroContextManager] : Manages Kedro session and config.
    """
    updated = deepcopy(dictionary)

    def traverse(d, key, value):
        """Recursively set a nested key."""
        s = key.split(".", 1)
        if len(s) > 1:
            if (s[0] not in d) or (not isinstance(d[s[0]], dict)):
                d[s[0]] = {}
            traverse(d[s[0]], s[1], value)
        else:
            d[s[0]] = value

    for k, v in kv_pairs:
        traverse(updated, k, v)
    return updated