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config_util

Functions:

load_config 

load_config(config_path: str) -> dict[str, Any]

Load a YAML configuration file.

Supported syntax

${VAR} → If VAR not set, becomes "" (empty string) ${VAR, default} → If VAR not set, "default" is inserted literally, and then YAML type-casts it.

Behavior
  1. Read the entire YAML file as a raw string.
  2. Perform string-level substitution for ${...} patterns.
  3. Pass the substituted string to PyYAML, allowing YAML to determine types.
    1. Expand leading ~ in string values into absolute home paths.
This design ensures
  • No custom smart-casting logic is needed.
  • Default values are type-cast by YAML (10→int, false→bool, etc.).
  • Environment variable values are applied before YAML parsing.

Parameters:

  • config_path

    (str) –

    Path to the YAML configuration file.

Returns:

  • dict[str, Any] –

    Parsed configuration as a Python dict with correct types.

mask_sensitive_info 

mask_sensitive_info(
    config: dict[str, Any],
) -> dict[str, Any]

Mask sensitive information in the given DictConfig.

This function replaces the values of predefined sensitive keys (e.g., "api_key", "api_token", "password", "secret_key") with a masked string. It processes nested DictConfig recursively.

Parameters:

  • config

    (dict[str, Any]) –

    DictConfig to mask.

Returns:

  • dict[str, Any] –

    A new dictionary with sensitive values masked.

setup_logging 

setup_logging(logging_cfg: dict) -> None

Set up logging configuration from a dict.

Parameters:

  • logging_cfg

    (dict) –

    The logging configuration to apply.

Raises:

  • TypeError –

    If the configuration cannot be converted to a dictionary.