from __future__ import annotations

from dataclasses import dataclass
from pathlib import Path

VISLOC_DIR = Path("data/Image/VISLOC")
IMAGE_ROOT = Path("data/Image")
EXAMPLES_ROOT = Path("examples")
IMAGE_EXTS = (".jpg", ".jpeg", ".png", ".JPG", ".JPEG", ".PNG")
DEFAULT_ALTITUDE_M = 450.0
ASSUMED_FOV_DEG = 90.0
DEFAULT_MODEL_ID = "depth-anything/DA3MONO-LARGE"
SEGMENTATION_MODEL_ID = "facebook/sam3"
SEGMENTATION_MAX_SIDE = 512
SEGMENTATION_SCORE_THRESH = 0.25
SEGMENTATION_MASK_THRESH = 0.25
WATER_PROMPT = "water"
ROAD_PROMPT = "motorway"
TREE_PROMPT = "trees"
ROOF_PROMPT = "rooftop"


@dataclass(frozen=True)
class AnalyzerSettings:
    """Bundle knobs shared between the UI and the processing pipeline."""

    footprint_m: float = 10.0
    std_thresh: float = 0.005
    grad_thresh: float = 0.1
    clearance_factor: float = 1.5
    process_res_cap: int = 1024
    depth_smoothing_base: float = 0.0
    segmentation_max_side: int = SEGMENTATION_MAX_SIDE
    segmentation_model_id: str = SEGMENTATION_MODEL_ID
    segmentation_score_thresh: float = SEGMENTATION_SCORE_THRESH
    segmentation_mask_thresh: float = SEGMENTATION_MASK_THRESH
    water_prompt: str = WATER_PROMPT
    road_prompt: str = ROAD_PROMPT
    tree_prompt: str = TREE_PROMPT
    roof_prompt: str = ROOF_PROMPT
    coverage_strictness: float = 0.95
    openness_weight: float = 0.5
    texture_threshold: float = 0.5
    altitude_m: float = DEFAULT_ALTITUDE_M
    fov_deg: float = ASSUMED_FOV_DEG
    model_id: str = DEFAULT_MODEL_ID


DEFAULT_ANALYZER_SETTINGS = AnalyzerSettings()


__all__ = [
    "VISLOC_DIR",
    "IMAGE_ROOT",
    "EXAMPLES_ROOT",
    "IMAGE_EXTS",
    "DEFAULT_ALTITUDE_M",
    "ASSUMED_FOV_DEG",
    "DEFAULT_MODEL_ID",
    "SEGMENTATION_MODEL_ID",
    "SEGMENTATION_MAX_SIDE",
    "SEGMENTATION_SCORE_THRESH",
    "SEGMENTATION_MASK_THRESH",
    "WATER_PROMPT",
    "ROAD_PROMPT",
    "TREE_PROMPT",
    "ROOF_PROMPT",
    "DEFAULT_ANALYZER_SETTINGS",
    "AnalyzerSettings",
]