76 lines
2.8 KiB
Python
76 lines
2.8 KiB
Python
"""CatOpt bridge (MVP): CosmosMesh primitives <-> CatOpt-like representation.
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This module provides a tiny, domain-agnostic translator that maps CosmosMesh MVP
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primitives (LocalProblem, SharedVariables, DualVariables, PlanDelta) to a
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canonical CatOpt-like representation consisting of Objects, Morphisms, and
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Functors. It is intentionally lightweight to bootstrap cross-domain MVP testing
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without introducing heavy dependencies.
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"""
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from __future__ import annotations
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from typing import Any, Dict
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from .dsl_sketch import LocalProblemDSL, SharedVariablesDSL, PlanDeltaDSL
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class CatOptBridge:
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"""Lightweight translator between CosmosMesh primitives and CatOpt-like signals.
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The bridge does not implement real secure transport or cryptography; it merely
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provides a stable, versioned mapping surface that downstream adapters can rely on
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for MVP interoperability.
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"""
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def __init__(self) -> None:
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# Simple in-memory registry of versions for contracts lived in this bridge
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self._registry: Dict[str, str] = {
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"LocalProblem": "0.1",
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"SharedVariables": "0.1",
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"DualVariables": "0.1",
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"PlanDelta": "0.1",
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}
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def contract_version(self, contract_name: str) -> str:
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return self._registry.get(contract_name, "0.0")
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# --- Translation helpers (minimal stubs) ---
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def to_catopt_object(self, lp: LocalProblemDSL) -> Dict[str, Any]:
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"""Translate a LocalProblem DSL instance to a CatOpt Object.
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The output is a simple dictionary suitable for JSON-like transport.
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"""
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return {
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"type": "LocalProblemObject",
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"version": self.contract_version("LocalProblem"),
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"payload": {
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"agent_id": lp.agent_id,
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"variables": lp.variables,
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"objective": lp.objective,
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"constraints": lp.constraints,
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},
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}
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def from_catopt_object(self, payload: Dict[str, Any]) -> LocalProblemDSL:
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"""Reverse-translate a CatOpt Object payload back into a LocalProblemDSL.
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This is intentionally permissive for MVP testing; adapters can extend as needed.
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"""
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p = payload.get("payload", {})
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return LocalProblemDSL(
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agent_id=str(p.get("agent_id", "unknown")),
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objective=p.get("objective", ""),
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variables=p.get("variables", []),
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constraints=p.get("constraints", []),
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)
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def to_plan_delta(self, delta: PlanDeltaDSL) -> Dict[str, Any]:
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"""Serialize a PlanDelta to a canonical CatOpt-like signal."""
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return {
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"type": "PlanDelta",
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"version": self.contract_version("PlanDelta"),
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"payload": delta.dict(),
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}
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def __repr__(self) -> str:
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return f"<CatOptBridge contracts={list(self._registry.keys())}>"
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