from flows.base_flows import CircularFlow
from flows.utils import logging

log = logging.get_logger(f"flows.{__name__}")


class ChatHumanFlowModule(CircularFlow):
    """ This class implements a Chat Human Flow Module. It is a flow that consists of two sub-flows that are executed circularly. It Contains the following subflows:
    
    - A User Flow: A flow makes queries to the Assistant Flow. E.g. The user asks the assistant (LLM) a question.
    - A Assistant Flow: A flow that responds to queries made by the User Flow. E.g. The assistant (LLM) answers the user's question.
    
    To end the interaction, the user must type "\<END\>"
    
    An illustration of the flow is as follows:
    
            |------> User Flow -----------> |
            ^                               |
            |                               |
            |                               v
            |<------ Assistant Flow <-------|
    
    *Configuration Parameters*:
    
    - `name` (str): The name of the flow. Default: "ChatHumanFlowModule"
    - `description` (str): A description of the flow. This description is used to generate the help message of the flow.
    Default: "Flow that enables chatting between a ChatAtomicFlow and a user providing the input."
    - `max_rounds` (int): The maximum number of rounds the flow can run for. Default: None, which means that there is no limit on the number of rounds.
    - `early_exit_key` (str): The key that is used to exit the flow. Default: "end_of_interaction"
    - `subflows_config` (Dict[str,Any]): A dictionary of subflows configurations. Default:
        - `Assistant Flow`: The configuration of the Assistant Flow. By default, it a ChatAtomicFlow. It default parmaters are defined in ChatAtomicFlowModule.
        - `User Flow`: The configuration of the User Flow. By default, it a HumanStandardInputFlow. It default parmaters are defined in HumanStandardInputFlowModule.
    - `topology` (str): (List[Dict[str,Any]]): The topology of the flow which is "circular".
    By default, the topology is the one shown in the illustration above (the topology is also described in ChatHumanFlowModule.yaml).

    *Input Interface*:
    
    - None. By default, the input interface doesn't expect any input.
        
    *Output Interface*:

    - `end_of_interaction` (bool): Whether the interaction is finished or not.
    
    :param \**kwargs: Arguments to be passed to the parent class CircularFlow constructor.
    :type \**kwargs: Dict[str, Any]
    """
    

    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    @classmethod
    def type(cls):
        """ This method returns the type of the flow."""
        return "OpenAIChatHumanFlowModule"