"""Configuration and quality presets for asset generation."""

from dataclasses import dataclass
from typing import Dict


@dataclass
class QualityPreset:
    """Quality preset configuration."""
    
    name: str
    flux_steps: int
    flux_guidance: float
    hunyuan_steps: int
    hunyuan_guidance: float
    octree_resolution: int
    texture_resolution: int
    num_chunks: int
    estimated_time_s: int


# Quality presets (optimized for L4 GPU)
QUALITY_PRESETS: Dict[str, QualityPreset] = {
    "Fast": QualityPreset(
        name="Fast",
        flux_steps=10,
        flux_guidance=3.5,
        hunyuan_steps=10,
        hunyuan_guidance=5.5,
        octree_resolution=384,
        texture_resolution=2048,
        num_chunks=8000,
        estimated_time_s=45
    ),
    "Balanced": QualityPreset(
        name="Balanced",
        flux_steps=15,
        flux_guidance=3.5,
        hunyuan_steps=25,
        hunyuan_guidance=6.0,
        octree_resolution=512,
        texture_resolution=2048,
        num_chunks=10000,
        estimated_time_s=60
    ),
    "High": QualityPreset(
        name="High",
        flux_steps=25,
        flux_guidance=3.5,
        hunyuan_steps=35,
        hunyuan_guidance=6.5,
        octree_resolution=512,
        texture_resolution=4096,
        num_chunks=12000,
        estimated_time_s=90
    ),
    "Ultra": QualityPreset(
        name="Ultra",
        flux_steps=30,
        flux_guidance=3.5,
        hunyuan_steps=50,
        hunyuan_guidance=7.0,
        octree_resolution=512,
        texture_resolution=4096,
        num_chunks=15000,
        estimated_time_s=120
    ),
}


# FLUX model configuration
FLUX_MODELS = {
    "dev": "black-forest-labs/FLUX.1-dev",
}


# Hunyuan3D configuration
HUNYUAN_SETTINGS = {
    "space_id": "tencent/Hunyuan3D-2.1",
    "timeout": 300.0,
    "connect_timeout": 60.0,
}


# Cache configuration
CACHE_EXPIRY_HOURS = 24
MAX_CACHE_SIZE_GB = 10


# Security configuration
MAX_PROMPT_LENGTH = 500
MAX_REQUESTS_PER_HOUR = 10
REQUEST_WINDOW_SECONDS = 3600
MAX_FILE_SIZE_MB = 100


# GPU configuration
PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True,max_split_size_mb:512"
ENABLE_TF32 = True
ENABLE_CUDNN_BENCHMARK = True