df: base: op should extrapolate inputs based off typing information

[johnandersen777]

Related: #188

    >>> @op(inputs={"host": HOST, "port": PORT, "message": MESSAGE})
    ... async def send_to_server(host: str, port: int, message: str):
    ...     reader, writer = await asyncio.open_connection(host, port)
    ...
    ...     writer.write(message.encode())
    ...     await writer.drain()
    ...
    ...     data = await reader.read(100)
    ...     print(f"Client sent {message!r}, got: {data.decode()!r}")
    ...
    ...     writer.close()
    ...     await writer.wait_closed()

We had to pass inputs to op and create all the Defintion instances.

What would be good is to modify dffml/df/base.py so that if op is not provided with inputs it uses inspect.signature to look at the functions arguments. It should create Defintions for each argument using the str(of the data type) as the primitive and the name as the name.

Also add some validation to make sure that we can only do this for data types which are already primitives, aka, int, float, str, etc.