localization/construct.py

"""Construct localization-given-labels prompts from gold segments."""

from __future__ import annotations

import json
import random
from collections import Counter
from typing import Sequence

from localization.schema import GoldSegment, LabelSpec

DEFAULT_SEED = 0
PROTOCOL_NAME = "localization-given-labels"
SOURCE_DATASET = "macrodata/WGO-Bench"


def label_specs_from_segments(
    episode_id: str,
    gold_segments: Sequence[GoldSegment],
    *,
    seed: int = DEFAULT_SEED,
) -> list[LabelSpec]:
    """Unique labels with multiplicity, shuffled deterministically per episode."""
    counts = Counter(segment.label for segment in gold_segments)
    specs = [LabelSpec(label, counts[label]) for label in sorted(counts)]
    rng = random.Random(f"{seed}:{episode_id}")
    rng.shuffle(specs)
    return specs


def multiplicity_phrase(spec: LabelSpec) -> str:
    quoted = json.dumps(spec.label)
    if spec.multiplicity == 1:
        return quoted
    return f"{quoted} (occurs {spec.multiplicity} times)"


def localization_prompt(
    instruction: str,
    specs: Sequence[LabelSpec],
) -> str:
    labels = "\n".join(f"- {multiplicity_phrase(spec)}" for spec in specs)
    return (
        "Locate the listed manipulation event labels in this robot video from the "
        "timestamped contact sheets.\n\n"
        "Return only JSON matching the provided schema. For each listed label, "
        "return exactly its requested number of intervals. Each interval must echo "
        "the exact label string in label_echo and use visible timestamps for "
        "start_sec and end_sec.\n\n"
        "Rules:\n"
        "- Bind times only to the exact listed label.\n"
        "- Do not invent labels that are not listed.\n"
        "- Use one interval per occurrence when a label occurs multiple times.\n"
        "- Prefer temporally tight intervals around completed manipulation events.\n\n"
        f"Episode instruction: {instruction}\n\n"
        f"Event labels:\n{labels}\n"
    )


def construction_meta(*, seed: int = DEFAULT_SEED) -> dict[str, str | int]:
    return {
        "seed": seed,
        "protocol": PROTOCOL_NAME,
        "source": SOURCE_DATASET,
    }