"""Portfolio-level steering aggregation — K-Ext-5."""

from __future__ import annotations

from typing import Any

from steering.kernel import evaluate_steering
from tenant_context import TenantContext

_SEVERITY_ORDER = {"critical": 0, "warning": 1, "info": 2}


def _portfolio_rank_key(rank: int | None) -> int:
    return rank if rank is not None else 999_999


def _load_active_initiatives(ctx: TenantContext, *, limit: int) -> list[dict[str, Any]]:
    from data_layer.initiatives import get_active_initiatives

    return get_active_initiatives(ctx, limit=limit)


def _enrich_item(
    item: dict[str, Any],
    *,
    initiative_id: str,
    initiative_title: str,
    portfolio_rank: int | None,
) -> dict[str, Any]:
    enriched = dict(item)
    enriched.setdefault("initiative_id", initiative_id)
    enriched["initiative_title"] = initiative_title
    if portfolio_rank is not None:
        enriched["portfolio_rank"] = portfolio_rank
    enriched.setdefault("data_source", "steering_kernel")
    return enriched


def _sort_attention(items: list[dict[str, Any]]) -> list[dict[str, Any]]:
    return sorted(
        items,
        key=lambda item: (
            _SEVERITY_ORDER.get(item.get("severity", "info"), 99),
            _portfolio_rank_key(item.get("portfolio_rank")),
            item.get("initiative_title") or "",
            item.get("title") or "",
        ),
    )


def _sort_next_work(items: list[dict[str, Any]]) -> list[dict[str, Any]]:
    return sorted(
        items,
        key=lambda item: (
            _portfolio_rank_key(item.get("portfolio_rank")),
            item.get("rank") if item.get("rank") is not None else 999,
            item.get("title") or "",
        ),
    )


def aggregate_portfolio_steering(
    ctx: TenantContext,
    *,
    max_initiatives: int = 50,
    attention_per_initiative: int = 5,
    next_work_per_initiative: int = 3,
    total_attention: int = 30,
    total_next_work: int = 15,
    total_agent_slots: int = 20,
) -> dict[str, Any]:
    """
    Aggregiert Kernel-Steuerung über aktive Initiativen (Portfolio-Rang).
    """
    initiatives = _load_active_initiatives(ctx, limit=max_initiatives)

    attention: list[dict[str, Any]] = []
    next_work: list[dict[str, Any]] = []
    agent_slots: list[dict[str, Any]] = []
    proposals_summary: list[dict[str, Any]] = []
    attention_by_initiative: dict[str, list[dict[str, Any]]] = {}
    agent_slots_by_initiative: dict[str, list[dict[str, Any]]] = {}

    for initiative in initiatives:
        initiative_id = str(initiative["id"])
        initiative_title = initiative.get("title") or "Vorhaben"
        portfolio_rank = initiative.get("portfolio_rank")

        evaluation = evaluate_steering(
            ctx,
            initiative_id=initiative_id,
            next_work_limit=next_work_per_initiative,
            attention_limit=attention_per_initiative,
        )

        initiative_attention: list[dict[str, Any]] = []
        for item in evaluation.attention:
            enriched = _enrich_item(
                item,
                initiative_id=initiative_id,
                initiative_title=initiative_title,
                portfolio_rank=portfolio_rank,
            )
            initiative_attention.append(enriched)
            attention.append(enriched)

        attention_by_initiative[initiative_id] = initiative_attention

        for item in evaluation.next_work:
            next_work.append(
                _enrich_item(
                    item,
                    initiative_id=initiative_id,
                    initiative_title=initiative_title,
                    portfolio_rank=portfolio_rank,
                )
            )

        initiative_slots: list[dict[str, Any]] = []
        for slot in evaluation.agent_slots:
            enriched = _enrich_item(
                slot,
                initiative_id=initiative_id,
                initiative_title=initiative_title,
                portfolio_rank=portfolio_rank,
            )
            initiative_slots.append(enriched)
            agent_slots.append(enriched)
        agent_slots_by_initiative[initiative_id] = initiative_slots

        proposal_counts = {
            key: len(value) if isinstance(value, list) else 0
            for key, value in (evaluation.proposals or {}).items()
        }
        if any(proposal_counts.values()):
            proposals_summary.append(
                {
                    "initiative_id": initiative_id,
                    "initiative_title": initiative_title,
                    "portfolio_rank": portfolio_rank,
                    "counts": proposal_counts,
                    "total": sum(proposal_counts.values()),
                }
            )

    attention = _sort_attention(attention)[:total_attention]
    next_work = _sort_next_work(next_work)[:total_next_work]
    agent_slots = sorted(
        agent_slots,
        key=lambda slot: (
            {"high": 0, "normal": 1, "low": 2}.get(slot.get("priority", "normal"), 9),
            _portfolio_rank_key(slot.get("portfolio_rank")),
        ),
    )[:total_agent_slots]

    proposals_summary.sort(
        key=lambda row: (
            -row.get("total", 0),
            _portfolio_rank_key(row.get("portfolio_rank")),
        )
    )

    return {
        "data_source": "steering_kernel_portfolio_v0.1",
        "initiative_count": len(initiatives),
        "attention": attention,
        "attention_by_initiative": attention_by_initiative,
        "next_work": next_work,
        "proposals_summary": proposals_summary,
        "agent_slots": agent_slots,
        "agent_slots_by_initiative": agent_slots_by_initiative,
    }