"""Runtime configuration (all overridable via env). Defaults target the
`genrecon` LXC produced by issue i-opavuyaq; the MOCK path lets the whole
app run/test on any machine without a GPU or the GenRecon install."""
import os
from pathlib import Path

BASE = Path(__file__).resolve().parent
ROOT = BASE.parent


def _flag(name: str, default: str = "0") -> bool:
    return str(os.environ.get(name, default)).lower() in ("1", "true", "yes", "on")


# --- mode ---
MOCK = _flag("GENRECON_MOCK")                       # skip GPU pipeline, emit the sample scene

# --- paths ---
JOBS_DIR = Path(os.environ.get("GENRECON_JOBS_DIR", "/srv/jobs"))
FRONTEND_DIR = Path(os.environ.get("GENRECON_FRONTEND_DIR", str(ROOT / "frontend")))
SAMPLE_GLB = Path(os.environ.get("GENRECON_SAMPLE_GLB", str(ROOT / "sample" / "scene.glb")))

# --- GenRecon install (on the genrecon machine) ---
GENRECON_SRC = Path(os.environ.get("GENRECON_SRC", "/opt/genrecon/src"))
GENRECON_CKPTS = Path(os.environ.get("GENRECON_CKPTS", "/opt/genrecon/ckpts"))
CONDA_ENV = os.environ.get("GENRECON_CONDA_ENV", "genrecon")
CUDA_DEVICE = os.environ.get("GENRECON_CUDA_DEVICE", "5")   # pin to a free GPU on hypervisor a

# --- pipeline knobs ---
FFMPEG_BIN = os.environ.get("GENRECON_FFMPEG_BIN", "ffmpeg")
COLMAP_BIN = os.environ.get("GENRECON_COLMAP_BIN", "colmap")
FRAMES_FPS = float(os.environ.get("GENRECON_FRAMES_FPS", "2"))
FRAMES_MAX = int(os.environ.get("GENRECON_FRAMES_MAX", "300"))
NUM_IMGS_PER_SCENE = int(os.environ.get("GENRECON_NUM_IMGS", "999"))
PIPELINE_CONFIG = os.environ.get("GENRECON_PIPELINE_CONFIG", "configs/pipelines/texture.json")
MAX_UPLOAD_MB = int(os.environ.get("GENRECON_MAX_UPLOAD_MB", "2048"))

# reconstruct_scene.py Iphone-mode knobs. pipeline.py MUST pass these — when
# omitted, the chunker falls back to more aggressive internal defaults
# (stat_std_ratio 2.0) that can strip a sparse COLMAP cloud to 0 points and
# crash the PLY export. These are the README-validated values; radius_m is a
# metric radius, so on arbitrary-scale COLMAP clouds (plain video, no ARKit)
# loosen it (raise radius_m / lower radius_nb_points) if cleaning wipes points.
# Web-optimize the raw GenRecon glb (100s of MB) into a browser-loadable
# walkthrough asset (simplify + webp). Best-effort; the raw mesh is kept as
# scene_raw.glb. Needs a local gltf-transform install (see backend/optimize_glb.sh).
WEB_OPTIMIZE = _flag("GENRECON_WEB_OPTIMIZE", "1")
OPTIMIZE_GLB_SCRIPT = os.environ.get("GENRECON_OPTIMIZE_SCRIPT", str(BASE / "optimize_glb.sh"))

CHUNK_SIZE_FACTOR = os.environ.get("GENRECON_CHUNK_SIZE_FACTOR", "1.08")
STAT_STD_RATIO = os.environ.get("GENRECON_STAT_STD_RATIO", "3.0")
RADIUS_NB_POINTS = os.environ.get("GENRECON_RADIUS_NB_POINTS", "7")
# radius_m is a METRIC radius in GenRecon (tuned for ARKit-scale iPhone captures).
# Our app reconstructs from a plain video → COLMAP, which is only up-to-scale, so a
# fixed 0.2 wipes the cloud. "auto" (default) derives radius_m from the actual
# point-cloud spacing per job (pipeline._resolve_radius_m); set a number to force it.
RADIUS_M = os.environ.get("GENRECON_RADIUS_M", "auto")
RADIUS_K = float(os.environ.get("GENRECON_RADIUS_K", "4.0"))  # radius_m = median_nn_dist × RADIUS_K
PROJ_BATCH_VOXELS = os.environ.get("GENRECON_PROJ_BATCH_VOXELS", "2048")

JOBS_DIR.mkdir(parents=True, exist_ok=True)

# Stage order + the progress band each stage fills (start, end).
STAGES = [
    ("frames",      5,  25),
    ("colmap",      25, 55),
    ("reconstruct", 55, 90),
    ("glb",         90, 100),
]