51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
from __future__ import annotations
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from typing import List
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from .dsl import MarketSignal, PlanDelta, StrategyDelta
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class ADMMCoordinator:
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"""
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Lightweight ADMM-like coordinator.
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It collects MarketSignals from multiple venues and emits a PlanDelta
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representing a synchronized hedging action.
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This is a minimal, deterministic stub suitable for MVP testing.
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"""
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def __init__(self, contract_id: str = "default-contract"):
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self.contract_id = contract_id
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self.last_plan: PlanDelta | None = None
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def reconcile(self, plan: PlanDelta) -> PlanDelta:
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# Minimal reconciliation: produce a single StrategyDelta placeholder to indicate coherence.
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merged = StrategyDelta(notes="reconciled")
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# Augment plan with lightweight dual/consensus metadata to simulate an ADMM-like
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# cross-venue coherence step. This is intentionally a small stub for MVP testing.
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dual_vars = {"rho": 1.0, "alpha": 0.5}
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new_plan = PlanDelta(
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deltas=[merged],
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timestamp=getattr(plan, "timestamp", 0.0),
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author=getattr(plan, "author", None),
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contract_id=self.contract_id,
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actions=getattr(plan, "actions", []),
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dual_vars=dual_vars,
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)
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self.last_plan = new_plan
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return new_plan
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# Compatibility shim for existing runtime that imports Coordinator
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class Coordinator(ADMMCoordinator):
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def __init__(self, contract_id: str = "default-contract"):
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super().__init__(contract_id=contract_id)
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def coordinate(self, signals, author: str = "coordinator") -> PlanDelta:
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# Lightweight, deterministic plan synthesis for MVP
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merged = StrategyDelta(notes="coordinated")
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# Propagate a minimal coherence envelope along with a pointer to the contract id.
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dual_vars = {"rho": 1.0, "alpha": 0.9}
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return PlanDelta(
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deltas=[merged],
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timestamp=0.0,
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author=author,
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contract_id=self.contract_id,
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actions=[],
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dual_vars=dual_vars,
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)
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