"""Write EquiFashion_DB-like captions JSONs and aligned modality paths."""

from __future__ import annotations

from pathlib import Path
from typing import Any

from .config import PipelineConfig


def _dump_json_list(path: Path, data: list[dict[str, Any]]) -> None:
    import json

    path.parent.mkdir(parents=True, exist_ok=True)
    with open(path, "w", encoding="utf-8") as f:
        json.dump(data, f, ensure_ascii=False, indent=2)


def write_equifashion_style_outputs(rows: list[dict[str, Any]], cfg: PipelineConfig) -> dict[str, Path]:
    """
    Writes:
    - train.json / test.json: list of {gt, caption}
    """
    train_caps: list[dict[str, Any]] = []
    test_caps: list[dict[str, Any]] = []

    for row in rows:
        if not row.get("use_in_training", True):
            continue
        split = str(row.get("split") or "train").lower()
        gt = str(row.get("gt") or Path(str(row.get("image_path", ""))).name)
        cap = str(row.get("caption") or row.get("caption_raw") or "")

        item = {"gt": gt, "caption": cap}
        if split == "test":
            test_caps.append(item)
        else:
            train_caps.append(item)

    out = {
        "train_json": cfg.output_root / "train.json",
        "test_json": cfg.output_root / "test.json",
    }
    _dump_json_list(out["train_json"], train_caps)
    _dump_json_list(out["test_json"], test_caps)
    return out