34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
from __future__ import annotations
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from typing import List
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from .canonical import CanonicalPlan
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from .protocol import PlanDelta
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def optimize_across_shards(plans: List[CanonicalPlan], bandwidth_budget: float) -> PlanDelta:
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"""A tiny, ADMM-lite stub that combines local canonical plans into a delta.
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This is intentionally lightweight for MVP: it aggregates projections and
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predicates and emits a delta with a simple cost summary. Real implementations
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would iterate with cross-shard feedback to refine the plan.
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"""
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# Very basic aggregation: union of projections/predicates; cost is sum of costs
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all_projections = []
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all_predicates = []
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total_cost = 0.0
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for p in plans:
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all_projections.extend(p.projection)
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all_predicates.extend(p.predicates)
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total_cost += max(0.0, p.estimated_cost)
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delta = {
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"projections": list(dict.fromkeys(all_projections)), # unique preserve order
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"predicates": list(dict.fromkeys(all_predicates)),
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"aggregated_cost": total_cost,
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"bandwidth_budget": bandwidth_budget,
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}
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# Simple delta_id and timestamp placeholders; in real use, attach metadata
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return PlanDelta(delta_id="delta-0", timestamp=0.0, changes=delta, contract_id="catopt-bridge")
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