"""The ONE entrypoint a tool author edits.

`process(video_path, engine, fps)` reconstructs 3D pose from the multi-camera
montage video and returns a 3D-skeleton + joint-angle summary image and a report.
`simulate_full` also returns the raw result so the UI can build the 3D video.
"""
from __future__ import annotations

import numpy as np

from . import fast_pose3d, viz
from .io import read_video

ENGINES = ["fast", "deepfly3d"]


def simulate_full(video_path: str, engine: str = "fast", fps: float = 20.0) -> dict:
    if engine not in ENGINES:
        raise ValueError(f"Unknown engine '{engine}'. Choose one of {ENGINES}.")
    movie = read_video(video_path)

    if engine == "deepfly3d":
        from . import deepfly3d
        res = deepfly3d.analyze(movie, fps=float(fps))
    else:
        res = fast_pose3d.analyze(movie, fps=float(fps))

    return {
        "summary": viz.summary_image(movie, res),
        "report": res["report"],
        "res": res,
        "movie": movie,
    }


def process(video_path: str, engine: str = "fast", fps: float = 20.0) -> tuple[np.ndarray, dict]:
    """Returns (3D skeleton + joint-angle summary RGB, report dict)."""
    r = simulate_full(video_path, engine, fps)
    return r["summary"], r["report"]