"""Glue between the pipeline and the LLM layer."""

from __future__ import annotations

import logging

from us2kr.config import Settings
from us2kr.llm.base import LLMProvider
from us2kr.llm.minimax import MiniMaxProvider
from us2kr.models import MarketPayload, Report

log = logging.getLogger(__name__)


def build_provider(settings: Settings) -> LLMProvider:
    """Construct the configured LLM provider (MiniMax only for now)."""
    return MiniMaxProvider(settings)


def summarize_payload(payload: MarketPayload, provider: LLMProvider) -> tuple[Report, str]:
    """Summarise via the provider and guarantee `report.data_gaps` includes every payload gap."""
    report, model_used = provider.summarize(payload)
    merged: list[str] = []
    for gap in [*payload.data_gaps, *report.data_gaps]:
        if gap and gap not in merged:
            merged.append(gap)
    if merged != list(report.data_gaps):
        report = report.model_copy(update={"data_gaps": merged})
    log.info("summary produced by %s (%d data gaps)", model_used, len(merged))
    return report, model_used