26 lines
1.0 KiB
Python
26 lines
1.0 KiB
Python
from __future__ import annotations
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from typing import Dict, Any
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from .core import LocalProblem, SharedVariables, PlanDelta
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def naive_admm_lite_plan(per_venue_signals: Dict[str, Any], local: LocalProblem, shared: SharedVariables) -> PlanDelta:
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"""A tiny, deterministic placeholder ADMM-lite planner.
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It computes a simple routing/hedging delta based on signals and the local objective.
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This is NOT a production-grade optimizer; it's a seed for MVP wiring.
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"""
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# Build a toy delta that encodes the sum of signals and a rough budget heuristic
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total_signal = 0.0
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for v, s in per_venue_signals.items():
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price = s.get("price", 0.0)
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total_signal += price
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delta = {
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"type": "demo-plan",
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"local_problem_id": local.id,
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"objective_summary": local.objective,
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"total_signal": total_signal,
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"venues_considered": list(per_venue_signals.keys()),
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"timestamp": __import__('time').time(),
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}
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return PlanDelta(delta=delta, author="planner", contract_id=local.id)
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