7|h jddlmZmZdeeeeeffdeeeeeeeffffdZdededefdZy) )DictUnioninputreturnc ddl}t|tr.|j |g}|j d|j dSt|trqt}|D]}|j|||j |}|j }d}t}|D]}||||<|dz }||j dStdt|#t$r tdwxYw)a Sanitize input string or dict of strings by replacing sensitive data with placeholders. It returns the sanitized input string or dict of strings and the secure context as a dict following the format: { "sanitized_input": , "secure_context": } The secure context is a bytes object that is needed to de-sanitize the response from the LLM. Args: input: Input string or dict of strings. Returns: Sanitized input string or dict of strings and the secure context as a dict following the format: { "sanitized_input": , "secure_context": } The `secure_context` needs to be passed to the `desanitize` function. Raises: ValueError: If the input is not a string or dict of strings. ImportError: If the `opaqueprompts` Python package is not installed. rNhCould not import the `opaqueprompts` Python package, please install it with `pip install opaqueprompts`.)sanitized_inputsecure_contextzUnexpected input type ) opaqueprompts ImportError isinstancestrsanitizesanitized_textsr dictlistappend ValueErrortype) ropsanitize_responsevalueskeysanitize_values_responsesanitized_input_valuesidxr s j/var/www/html/test/engine/venv/lib/python3.12/site-packages/langchain_community/utilities/opaqueprompts.pyrrs%D "%13eW1E0@@C/>>  % &C MM%* % &9; F8K ":!I!I& C#9##>OC 1HC  /6EE  -d5k]; <r(siJ= d38n$ %J= #uS$sCx.() )*J=Z0s0E0c0r'