from __future__ import annotations

import datetime
import pathlib
import shlex
import subprocess
import sys

import gradio as gr

sys.path.append('TEXTurePaper')

from src.configs.train_config import GuideConfig, LogConfig, TrainConfig
from src.training.trainer import TEXTure


class Model:
    def __init__(self):
        self.max_num_faces = 100000

    def load_config(self, shape_path: str, text: str, seed: int,
                    guidance_scale: float) -> TrainConfig:
        text += ', {} view'

        log = LogConfig(exp_name=self.gen_exp_name())
        guide = GuideConfig(text=text)
        guide.background_img = 'TEXTurePaper/textures/brick_wall.png'
        guide.shape_path = 'TEXTurePaper/shapes/spot_triangulated.obj'
        config = TrainConfig(log=log, guide=guide)

        config.guide.shape_path = shape_path
        config.optim.seed = seed
        config.guide.guidance_scale = guidance_scale
        return config

    def gen_exp_name(self) -> str:
        now = datetime.datetime.now()
        return now.strftime('%Y-%m-%d-%H-%M-%S')

    def check_num_faces(self, path: str) -> bool:
        with open(path) as f:
            lines = [line for line in f.readlines() if line.startswith('f')]
        return len(lines) <= self.max_num_faces

    def zip_results(self, exp_dir: pathlib.Path) -> str:
        mesh_dir = exp_dir / 'mesh'
        out_path = f'{exp_dir.name}.zip'
        subprocess.run(shlex.split(f'zip -r {out_path} {mesh_dir}'))
        return out_path

    def run(self, shape_path: str, text: str, seed: int,
            guidance_scale: float) -> tuple[str, str]:
        if not shape_path.endswith('.obj'):
            raise gr.Error('The input file is not .obj file.')
        if not self.check_num_faces(shape_path):
            raise gr.Error('The number of faces is over 100,000.')

        config = self.load_config(shape_path, text, seed, guidance_scale)
        trainer = TEXTure(config)
        trainer.paint()
        video_path = config.log.exp_dir / 'results' / 'step_00010_rgb.mp4'
        zip_path = self.zip_results(config.log.exp_dir)
        return video_path.as_posix(), zip_path