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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

Source Code

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Source code in src/kedro_azureml_pipeline/utils.py 
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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