from __future__ import annotations

import time

from .base import GenerationRequest, GenerationResult
from . import _runner


def generate(req: GenerationRequest) -> GenerationResult:
    """CT generation. With masks: paired pipeline. Without: image-only."""
    t0 = time.time()
    if req.generate_masks:
        image_path, mask_path = _runner.run_paired_ct(
            output_size=req.output_size,
            spacing=req.spacing,
            body_region=req.body_region or [],
            anatomy_list=req.anatomy_list or ["liver"],
            seed=req.seed,
            num_inference_steps=req.num_steps,
        )
        used: dict[int, str] = {}
        if mask_path is not None:
            from viewer.colormaps import CT_LABELS_BY_ID

            present = _runner.labels_present(mask_path)
            used = {lbl: CT_LABELS_BY_ID.get(lbl, f"label {lbl}") for lbl in sorted(present)}
        return GenerationResult(
            volume_path=str(image_path),
            mask_path=str(mask_path) if mask_path else None,
            used_anatomy_labels=used,
            runtime_seconds=time.time() - t0,
            seed=req.seed,
            modality=1,
        )
    else:
        path = _runner.run_image_only(
            version="rflow-ct",
            output_size=req.output_size,
            spacing=req.spacing,
            modality=1,
            seed=req.seed,
            num_inference_steps=req.num_steps,
        )
        return GenerationResult(
            volume_path=str(path),
            runtime_seconds=time.time() - t0,
            seed=req.seed,
            modality=1,
        )