import os
import sys
import json
import shutil
import requests
import tempfile
import gradio as gr
import pandas as pd

from concurrent.futures import ThreadPoolExecutor
from tqdm import tqdm


now_dir = os.getcwd()
sys.path.append(now_dir)

from core import run_download_script
from rvc.lib.utils import format_title

from assets.i18n.i18n import I18nAuto

i18n = I18nAuto()

gradio_temp_dir = os.path.join(tempfile.gettempdir(), "gradio")

if os.path.exists(gradio_temp_dir):
    shutil.rmtree(gradio_temp_dir)


def save_drop_model(dropbox):
    if "pth" not in dropbox and "index" not in dropbox:
        raise gr.Error(
            message="The file you dropped is not a valid model file. Please try again."
        )
    else:
        file_name = format_title(os.path.basename(dropbox))
        if ".pth" in dropbox:
            model_name = file_name.split(".pth")[0]
        elif ".index" in dropbox:
            if "v1" in dropbox:
                model_name = (
                    file_name.split("_nprobe_1_")[1].split("_v1")[0].split(".index")[0]
                )
            elif "v2" in dropbox:
                model_name = (
                    file_name.split("_nprobe_1_")[1].split("_v2")[0].split(".index")[0]
                )
            else:
                model_name = file_name.split(".index")[0]
        model_path = os.path.join(now_dir, "logs", model_name)
        if not os.path.exists(model_path):
            os.makedirs(model_path)
        if os.path.exists(os.path.join(model_path, file_name)):
            os.remove(os.path.join(model_path, file_name))
        shutil.move(dropbox, os.path.join(model_path, file_name))
        print(f"{file_name} saved in {model_path}")
        gr.Info(f"{file_name} saved in {model_path}")
    return None


def get_file_size(url):
    response = requests.head(url)
    return int(response.headers.get("content-length", 0))


def download_file(url, destination_path, progress_bar):
    os.makedirs(os.path.dirname(destination_path), exist_ok=True)
    response = requests.get(url, stream=True)
    block_size = 1024
    with open(destination_path, "wb") as file:
        for data in response.iter_content(block_size):
            file.write(data)
            progress_bar.update(len(data))


def download_tab():
    with gr.Column():
        gr.Markdown(value=i18n("## Download Model"))
        model_link = gr.Textbox(
            label=i18n("Model Link"),
            placeholder=i18n("Introduce the model link"),
            interactive=True,
        )
        model_download_output_info = gr.Textbox(
            label=i18n("Output Information"),
            info=i18n("The output information will be displayed here."),
            value="",
            max_lines=8,
            interactive=False,
        )
        model_download_button = gr.Button(i18n("Download Model"))
        model_download_button.click(
            fn=run_download_script,
            inputs=[model_link],
            outputs=[model_download_output_info],
        )
        gr.Markdown(value=i18n("## Drop files"))
        dropbox = gr.File(
            label=i18n(
                "Drag your .pth file and .index file into this space. Drag one and then the other."
            ),
            type="filepath",
        )

        dropbox.upload(
            fn=save_drop_model,
            inputs=[dropbox],
            outputs=[dropbox],
        )