# Here is your PerfectPythonProductionPEP8® AGI code you requested:

from dataclasses import field
from typing import Union

from fgn.completion.chat import chat
from typetemp.environment.typed_environment import TypedEnvironment  # Typed environment class
from typetemp.environment.typed_native_environment import TypedNativeEnvironment  # Native typed environment class
from typetemp.template.render_mixin import RenderMixin

# Initializing environment instances
_env = TypedEnvironment()
_native_env = TypedNativeEnvironment()


class TypedPrompt(RenderMixin):
    """
    This class extends TypedTemplate to incorporate a TypedPrompt functionality
    along with the Chat class for conversational capabilities.

    - user_input: Stores the input from the user.
    - chat_inst: An instance of the Chat class for conversational capabilities.
    - output: Holds the output returned from the Chat class.
    - sys_msg: A system message to indicate the role of this instance.
    - model: The model version to be used in the Chat class. Default is "3".
    """
    source: str = None  # The string template to be rendered
    user_input: str = None  # Input from the user
    output: Union[str, dict] = None  # To hold the output from the chat
    sys_msg: str = "You are a prompt AI assistant."  # System message to define the role
    model: str = "3"  # Model version for the Chat class, default is "3"
    to: str = "stdout"  # Output medium for the output
    use_native: bool = False  # Whether to use NativeEnvironment for rendering

    def __init__(self, **kwargs):
        self.__post_init__()
        self.__dict__.update(kwargs)

    def __post_init__(self):
        """
        After the instance is initialized, set the environment
        """
        # Use NativeEnvironment when use_native is True, else use default Environment
        self.env = _native_env if self.use_native else _env

    def __call__(self, **kwargs) -> Union[str, dict]:
        """
        This method is invoked when the class instance is called. It performs the following:
        1. Calls the _render() method from the mixin class TypedTemplate to generate a rendered prompt.
        2. Passes the rendered prompt to the Chat instance for user interaction.
        3. Saves and optionally prints the output from the Chat instance.

        **kwargs: Keyword arguments for replacing variables in the template.
        """

        # Render the prompt using _render() from TypedTemplate
        rendered_prompt = self._render(**kwargs)

        # Pass the rendered prompt to the Chat instance for OpenAI interaction
        self.output = chat(prompt=rendered_prompt, sys_msg=self.sys_msg, model=self.model)

        return self.output


if __name__ == "__main__":
    # Instantiate TypedPrompt class
    typed_prompt = TypedPrompt(source="Hello {{ name }}! How are you doing today?",
                               to="stdout")

    # Call the instance to render the prompt and interact with the user
    user_input = typed_prompt(name="John Doe")

    print(f"User input: {user_input}")  # Print the collected user input
