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

import requests
from dotenv import load_dotenv

from api.flux import FluxAPI


class FireworksAPI(FluxAPI):
    def __init__(self):
        load_dotenv()
        self._api_key = os.getenv("FIREWORKS_API_TOKEN")
        if not self._api_key:
            raise ValueError("FIREWORKS_API_TOKEN not found in environment variables")
        self._url = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/flux-1-dev-fp8/text_to_image"

    @property
    def name(self) -> str:
        return "fireworks_fp8"

    def generate_image(self, prompt: str, save_path: Path) -> float:
        start_time = time.time()

        headers = {
            "Content-Type": "application/json",
            "Accept": "image/jpeg",
            "Authorization": f"Bearer {self._api_key}",
        }
        data = {
            "prompt": prompt,
            "aspect_ratio": "1:1",
            "guidance_scale": 3.5,
            "num_inference_steps": 28,
            "seed": 0,
        }
        result = requests.post(self._url, headers=headers, json=data)

        end_time = time.time()

        if result.status_code == 200:
            self._save_image_from_result(result, save_path)
        else:
            raise Exception(f"Error: {result.status_code} {result.text}")

        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.content)