from __future__ import annotations
from typing import Dict, Any
from .core import LocalProblem, SharedVariables, PlanDelta


def naive_admm_lite_plan(per_venue_signals: Dict[str, Any], local: LocalProblem, shared: SharedVariables) -> PlanDelta:
    """A tiny, deterministic placeholder ADMM-lite planner.
    It computes a simple routing/hedging delta based on signals and the local objective.
    This is NOT a production-grade optimizer; it's a seed for MVP wiring.
    """
    # Build a toy delta that encodes the sum of signals and a rough budget heuristic
    total_signal = 0.0
    for v, s in per_venue_signals.items():
        price = s.get("price", 0.0)
        total_signal += price

    delta = {
        "type": "demo-plan",
        "local_problem_id": local.id,
        "objective_summary": local.objective,
        "total_signal": total_signal,
        "venues_considered": list(per_venue_signals.keys()),
        "timestamp": __import__('time').time(),
    }
    return PlanDelta(delta=delta, author="planner", contract_id=local.id)