import os
import time
from pathlib import Path
from typing import Any

import replicate
from dotenv import load_dotenv

from api.flux import FluxAPI


class PrunaAPI(FluxAPI):
    def __init__(self, speed_mode: str):
        self._speed_mode = speed_mode
        self._speed_mode_name = (
            speed_mode.split(" ")[0].strip().lower().replace(" ", "_")
        )
        load_dotenv()
        self._api_key = os.getenv("REPLICATE_API_TOKEN")
        if not self._api_key:
            raise ValueError("REPLICATE_API_TOKEN not found in environment variables")

    @property
    def name(self) -> str:
        return f"pruna_{self._speed_mode_name}"

    def generate_image(self, prompt: str, save_path: Path) -> float:
        start_time = time.time()
        result = replicate.run(
            "prunaai/flux.1-juiced:58977759ff2870cc010597ae75f4d87866d169b248e02b6e86c4e1bf8afe2410",
            input={
                "seed": 0,
                "prompt": prompt,
                "guidance": 3.5,
                "num_outputs": 1,
                "aspect_ratio": "1:1",
                "output_format": "png",
                "speed_mode": self._speed_mode,
                "num_inference_steps": 28,
            },
        )
        end_time = time.time()

        if result:
            self._save_image_from_result(result, save_path)
        else:
            raise Exception("No result returned from Replicate API")
        return end_time - start_time

    def _save_image_from_result(self, result: Any, save_path: Path):
        save_path.parent.mkdir(parents=True, exist_ok=True)
        with open(save_path, "wb") as f:
            f.write(result.read())