"""
Main application for the Ultimate RVC project.

Each tab of the application is defined in a separate module
in the `frontend/tabs` directory.

Components that are accessed across multiple tabs are passed as arguments
to the render functions in the respective modules.
"""

import asyncio
import os
from argparse import ArgumentParser

import gradio as gr

from src.backend.generate_song_cover import get_named_song_dirs
from src.backend.manage_audio import delete_gradio_temp_dir, get_output_audio
from src.backend.manage_voice_models import get_current_models

from src.frontend.tabs.manage_audio import render as render_manage_audio_tab
from src.frontend.tabs.manage_models import render as render_manage_models_tab
from src.frontend.tabs.multi_step_generation import render as render_multi_step_tab
from src.frontend.tabs.one_click_generation import render as render_one_click_tab

from src.common import GRADIO_TEMP_DIR


def _init_app() -> tuple[gr.Dropdown, ...]:
    """
    Initialize app by deleting any existing Gradio temp directory
    and updating the choices of all dropdowns.

    Returns
    -------
    tuple[gr.Dropdown, ...]
        Updated dropdowns for selecting voice models, song directories,
        and output audio files.
    """
    delete_gradio_temp_dir()
    updated_rvc_model_dropdowns = tuple(
        gr.Dropdown(choices=get_current_models()) for _ in range(3)
    )
    updated_song_dir_dropdowns = tuple(
        gr.Dropdown(choices=get_named_song_dirs()) for _ in range(10)
    )
    updated_output_audio_dropdown = (gr.Dropdown(choices=get_output_audio()),)
    return (
        updated_rvc_model_dropdowns
        + updated_song_dir_dropdowns
        + updated_output_audio_dropdown
    )


os.environ["GRADIO_TEMP_DIR"] = GRADIO_TEMP_DIR

if os.name == "nt":
    asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())

with gr.Blocks(title="Ultimate RVC") as app:

    gr.Label("Ultimate RVC ❤️", show_label=False)

    dummy_deletion_checkbox = gr.Checkbox(visible=False)
    delete_confirmation = gr.State(False)
    song_dir_dropdowns = [
        gr.Dropdown(
            label="Song directory",
            info=(
                "Directory where intermediate audio files are stored and loaded from"
                " locally. When a new song is retrieved, its directory is chosen by"
                " default."
            ),
            render=False,
        )
        for _ in range(7)
    ]
    cached_input_songs_dropdown_1click, cached_input_songs_dropdown_multi = [
        gr.Dropdown(
            label="Song input",
            info="Select a song from the list of cached songs.",
            visible=False,
            render=False,
        )
        for _ in range(2)
    ]
    intermediate_audio_to_delete = gr.Dropdown(
        label="Songs with intermediate audio files",
        multiselect=True,
        info=(
            "Select one or more songs to delete their asssociated intermediate audio"
            " files."
        ),
        render=False,
    )
    output_audio_to_delete = gr.Dropdown(
        label="Output audio files",
        multiselect=True,
        info="Select one or more output audio files to delete.",
        render=False,
    )
    rvc_model_1click, rvc_model_multi = [
        gr.Dropdown(label="Voice model", render=False) for _ in range(2)
    ]
    rvc_models_to_delete = gr.Dropdown(
        label="Voice models", multiselect=True, render=False
    )

    generate_buttons = [
        gr.Button(label, variant="primary", render=False, scale=scale)
        for label, scale, in [
            ("Retrieve song", 1),
            ("Separate vocals/instrumentals", 1),
            ("Separate main/backup vocals", 1),
            ("De-reverb vocals", 1),
            ("Convert vocals", 1),
            ("Post-process vocals", 1),
            ("Pitch shift background", 1),
            ("Mix song cover", 1),
            ("Generate", 2),
        ]
    ]

    # main tab
    with gr.Tab("Generate song covers"):
        render_one_click_tab(
            generate_buttons,
            song_dir_dropdowns,
            cached_input_songs_dropdown_1click,
            cached_input_songs_dropdown_multi,
            rvc_model_1click,
            intermediate_audio_to_delete,
            output_audio_to_delete,
        )
        render_multi_step_tab(
            generate_buttons,
            song_dir_dropdowns,
            cached_input_songs_dropdown_1click,
            cached_input_songs_dropdown_multi,
            rvc_model_multi,
            intermediate_audio_to_delete,
            output_audio_to_delete,
        )
    with gr.Tab("Manage models"):
        render_manage_models_tab(
            dummy_deletion_checkbox,
            delete_confirmation,
            rvc_models_to_delete,
            rvc_model_1click,
            rvc_model_multi,
        )
    with gr.Tab("Manage audio"):

        render_manage_audio_tab(
            dummy_deletion_checkbox,
            delete_confirmation,
            song_dir_dropdowns,
            cached_input_songs_dropdown_1click,
            cached_input_songs_dropdown_multi,
            intermediate_audio_to_delete,
            output_audio_to_delete,
        )

    app.load(
        _init_app,
        outputs=[
            rvc_model_1click,
            rvc_model_multi,
            rvc_models_to_delete,
            intermediate_audio_to_delete,
            cached_input_songs_dropdown_1click,
            cached_input_songs_dropdown_multi,
            *song_dir_dropdowns,
            output_audio_to_delete,
        ],
        show_progress="hidden",
    )

    app.unload(delete_gradio_temp_dir)


if __name__ == "__main__":

    parser = ArgumentParser(
        description="Generate a song cover song in the song_output/id directory.",
        add_help=True,
    )
    parser.add_argument(
        "--share",
        action="store_true",
        dest="share_enabled",
        default=False,
        help="Enable sharing",
    )
    parser.add_argument(
        "--listen",
        action="store_true",
        default=False,
        help="Make the WebUI reachable from your local network.",
    )
    parser.add_argument(
        "--listen-host", type=str, help="The hostname that the server will use."
    )
    parser.add_argument(
        "--listen-port", type=int, help="The listening port that the server will use."
    )
    args = parser.parse_args()

    app.queue()
    app.launch(
        share=args.share_enabled,
        server_name=None if not args.listen else (args.listen_host or "0.0.0.0"),
        server_port=args.listen_port,
    )