build(agent): molt-x#ed374b iteration
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@ -30,3 +30,11 @@ Next steps (high level)
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- Add delta-sync protocol scaffolding and an auditable reconciliation log
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This work aligns with the roadmap described in AGENTS.md and is designed to be extended incrementally.
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CatOpt Bridge (MVP)
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- The CosmosMesh MVP includes a minimal CatOpt-style bridge that maps local optimization primitives
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to a canonical representation suitable for cross-domain adapters. This scaffold provides:
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- LocalProblem, SharedVariable, and DualVariable primitives and a lightweight round-trip message format.
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- A small in-memory contract registry to version primitives and schemas.
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- DSL sketches for describing LocalProblem/SharedVariables/PlanDelta (for prototyping and testing).
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- Usage example: see examples/catopt_demo.py for a quick end-to-end round-trip construction.
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@ -0,0 +1,35 @@
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"""CatOpt Bridge Demo (CosmosMesh MVP)
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Minimal end-to-end example showing how to construct a LocalProblem, SharedVariables,
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DualVariables and build a RoundTrip message via the CatOptBridge.
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"""
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from cosmosmesh_privacy_preserving_federated.catopt_bridge import LocalProblem, SharedVariable, DualVariable, CatOptBridge
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def main():
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# Define a tiny local problem for a two-asset scenario
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lp = LocalProblem(
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problem_id="rover1-task-allocation",
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objective="minimize energy consumption",
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variables=["x1", "x2"],
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constraints=["x1 + x2 <= 10", "x1 >= 0", "x2 >= 0"],
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version=1,
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)
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# Shared variables (primal signals) between agents
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sv1 = SharedVariable(name="eta1", value=0.5, version=1)
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sv2 = SharedVariable(name="eta2", value=1.2, version=1)
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dual1 = DualVariable(name="lambda1", value=0.1, version=1)
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# Build a round-trip message as the CatOptBridge would prepare for transport
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rt = CatOptBridge.build_round_trip(
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problem=lp,
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shared=[sv1, sv2],
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duals=[dual1],
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)
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print("RoundTrip Message:\n", rt)
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if __name__ == "__main__":
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main()
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@ -0,0 +1,27 @@
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import json
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from cosmosmesh_privacy_preserving_federated.catopt_bridge import LocalProblem, SharedVariable, DualVariable, CatOptBridge
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def test_round_trip_construction():
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lp = LocalProblem(
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problem_id="test-problem",
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objective="maximize throughput",
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variables=["x"],
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constraints=["x >= 0"],
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version=1,
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)
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sv = [SharedVariable(name="s", value=3.14, version=1)]
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dv = [DualVariable(name="d", value=2.718, version=1)]
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msg = CatOptBridge.build_round_trip(problem=lp, shared=sv, duals=dv)
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# Basic sanity checks on the envelope
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assert isinstance(msg, dict)
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assert msg.get("kind") == "RoundTrip"
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payload = msg.get("payload")
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assert isinstance(payload, dict)
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assert payload.get("object")["id"] == lp.problem_id
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# ensure morphisms present
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morphisms = payload.get("morphisms")
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assert isinstance(morphisms, list)
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assert any(isinstance(m, dict) and m.get("name") == "s" for m in morphisms)
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