from typing import Tuple

import gradio as gr

from src.helpers.data_loaders import load_places
from src.text_generation.mapper import MODEL_MAPPER


def get_places():
    data_file = "cities/eu_200_cities.csv"
    df = load_places(data_file)
    df = df.sort_values(by=['country', 'city'])
    return df


# Function to update the list of cities based on the selected country
def update_cities(selected_country, df):
    filtered_cities = df[df['country'] == selected_country]['city'].tolist()
    return gr.Dropdown(choices=filtered_cities, interactive=True)  # Make it interactive as it is not by default


def main_component() -> Tuple[gr.Dropdown, gr.Dropdown, gr.Textbox, gr.Checkbox, gr.Dropdown]:
    """
    Creates the main Gradio interface components and returns them.

    Returns:
        Tuple containing:
        - countries: Dropdown for selecting the country.
        - starting_point: Dropdown for selecting the starting point.
        - query: Textbox for entering the user query.
        - sustainable: Checkbox for sustainable travel.
        - model: Dropdown for selecting the model.
    """
    df = get_places()
    country_names = list(df.country.unique())
    with gr.Group():
        # Country selection dropdown
        countries = gr.Dropdown(choices=country_names, multiselect=False, label="Country")

        # Starting point selection dropdown
        starting_point = gr.Dropdown(choices=[], multiselect=False, label="Select your starting point for the trip!")

        # When a country is selected, update the starting point options
        countries.select(
            fn=lambda selected_country: update_cities(selected_country, df),
            inputs=countries,
            outputs=starting_point
        )

        # User query input
        query = gr.Textbox(label="Query", placeholder="Ask for your city recommendation here!")

        # Checkbox for sustainable travel option
        sustainable = gr.Checkbox(
            label="Sustainable",
            info="Do you want your recommendations to be sustainable with regards to the environment, "
                 "your starting location, and month of travel?"
        )

        models = list(MODEL_MAPPER.keys())[:5]
        # Model selection dropdown
        model = gr.Dropdown(
            choices=models,
            label="Model",
            info="Select your model. The model will generate the recommendations based on your query."
        )

    # Return all the components individually
    return countries, starting_point, query, sustainable, model