"""MMR1-RL importer — composite multi-image rows with inferred provenance.

MMR1-RL aggregates several public benchmarks but does not expose trustworthy
row-level source IDs (``docs/01`` §3.2). Any source hint found on a row is
recorded as ``provenance.inferred_source`` and is never treated as a definitive
ID. Rows may carry multiple images; their order is preserved exactly and each
image is content-addressed separately (``docs/02`` §2).

Decontamination is required for every MMR1 row; that is enforced in P3, but the
importer records the composite approval gate so the policy is visible downstream.
"""

from __future__ import annotations

from collections.abc import Mapping
from typing import Any

from .base import (
    ImageResolver,
    ImageStore,
    IngestError,
    NormalizedItem,
    Policy,
    infer_open_answer_type,
    make_item,
)

NAME = "mmr1_rl"
POLICY: Policy = "c2_train_candidate"
LICENSE_GATE = "mmr1_composite_terms"
ALLOWED_SPLIT = "train"


def normalize(
    row: Mapping[str, Any],
    images: ImageStore,
    resolve: ImageResolver,
    *,
    revision: str,
    split: str,
    config: str = "default",
) -> NormalizedItem:
    """Normalize one MMR1-RL native row to a :class:`NormalizedItem`."""
    if split != ALLOWED_SPLIT:
        raise IngestError(f"mmr1_rl: only split {ALLOWED_SPLIT!r} may be ingested, got {split!r}")
    question = str(row["problem"])
    answer_raw = str(row["answer"])
    answer_type = infer_open_answer_type(answer_raw)
    image_refs = [str(r) for r in row["images"]]
    if not image_refs:
        raise IngestError(f"mmr1_rl: row {row.get('id', '?')!r} has no images")
    image_paths: list[str] = []
    image_sha: list[str] = []
    for ref in image_refs:
        rel, digest = images.store(resolve(ref))
        image_paths.append(rel)
        image_sha.append(digest)
    inferred = row.get("source") or row.get("inferred_source")
    extra = {"inferred_source": str(inferred) if inferred is not None else None}
    native_id = str(row.get("id", row.get("index")))
    return make_item(
        source=NAME,
        source_revision=revision,
        source_config=config,
        source_split=split,
        source_native_id=native_id,
        question=question,
        choices=(),
        answer_raw=answer_raw,
        answer_canonical=answer_raw,
        answer_type=answer_type,
        image_paths=tuple(image_paths),
        image_sha256=tuple(image_sha),
        policy=POLICY,
        native_row=row,
        license_gate=LICENSE_GATE,
        extra_provenance=extra,
    )