Function run_with_interpreters

aura/python_executor.py:27–66

Proxy to execute_interpreter Iterates over defined interpreter until one that runs the input/script is found Return a 3-tuple with the following elements: - JSON decoded output of the executed script - name of the interpreter as defined in aura config - path/command to the

(*, metadata=None, **kwargs)

def run_with_interpreters(*, metadata=None, **kwargs):
    """
    Proxy to execute_interpreter
    Iterates over defined interpreter until one that runs the input/script is found

    Return a 3-tuple with the following elements:
    - JSON decoded output of the executed script
    - name of the interpreter as defined in aura config
    - path/command to the interpreter as defined in aura config

    In case an interpreter that is able to execute the input script was not found, all tuple elements are set to None
    """
    if metadata and metadata.get("interpreter_path"):
        return execute_interpreter(
            interpreter=metadata["interpreter_path"],
            **kwargs
        )

    interpreters = list(config.CFG["interpreters"].items())
    executor_exception = None

    for name, interpreter in interpreters:
        # If interpreter is not directly an executable, find out it's location via `witch` lookup
        if interpreter != "native" and not os.path.isfile(interpreter):
            interpreter = which(interpreter)

        try:
            output = execute_interpreter(interpreter=interpreter, **kwargs)
            if output is not None:
                if metadata is not None:
                    metadata["interpreter_name"] = name
                    metadata["interpreter_path"] = interpreter

                return output
        except PythonExecutorError as exc:
            executor_exception = exc
            continue

    if executor_exception is not None:
        raise executor_exception


def execute_interpreter(*, command: List[str], interpreter: str, stdin=None, native_callback: Optional[Callable]=None):