build(agent): new-agents#a6e6ec iteration
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README.md
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README.md
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# CosmosMesh Privacy-Preserving Federated Mission Planning (MVP)
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# CosmosMesh Privacy-Preserving Federated Mission Planning
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CosmosMesh is a privacy-preserving, offline-first federation platform designed for distributed planning across heterogeneous space assets (rovers, drones, habitat modules, satellites). This MVP implements a canonical bridge (EnergiBridge / CatOpt-Bridge style) and an initial DSL to bootstrap interoperability, adapters, and end-to-end testing.
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This repository contains a production-oriented MVP of CosmosMesh, a privacy-preserving,
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offline-first federation platform for distributed mission planning across diverse
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space assets (rovers, drones, habitat modules, and orbiting satellites).
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Key goals of the MVP
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Key concepts
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- Map CosmosMesh primitives to a vendor-agnostic intermediate representation (IR): Objects = LocalProblems, Morphisms = SharedVariables/DualVariables, PlanDelta, PrivacyBudget, AuditLog, etc.
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- Local optimization problems (contracts) per asset with explicit data contracts and versioning.
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- Provide a simple DSL scaffold for LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, and a PolicyBlock for safety/exposure rules.
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- Federated optimization through lightweight sharing of summarized signals (primal/dual variables) and aggregated statistics.
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- Supply tiny adapters and a conformance harness to kickstart multi-domain interoperability.
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- Global assembly of local problems into a feasible fleet plan with delta-sync and audit trails.
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- Include a lightweight ADMM-like local solver for federated optimization and a delta-sync workflow for islanding scenarios.
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- Privacy-by-design: secure aggregation, optional local differential privacy, and role-based access to signals.
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- Identity and security: DIDs, short-lived certificates, tamper-evident logging.
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- Adapters and simulators to bootstrap cross-domain interoperability and testing.
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- Open API and governance ledger for provenance and interoperability.
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What you get in this MVP
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This repository provides a minimal yet production-minded surface to bootstrap the
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- A canonical bridge module that maps CosmosMesh primitives to a vendor-agnostic intermediate representation (IR).
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ecosystem, with a focus on small, well-scoped changes and testable interfaces.
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- A minimal DSL sketch for core primitives and signals.
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- Core data models and a conformance scaffold to bootstrap adapters and a small contract registry.
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- Tests that exercise a roundtrip between the IR and local representations.
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How to use this repo
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How to run tests
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- Install and run tests: see test.sh for a complete verification workflow.
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- Ensure dependencies are installed via the packaging metadata in pyproject.toml.
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- Run tests: bash test.sh
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- Run tests: bash test.sh
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- See tests/test_catopt_bridge.py for a representative usage of the CatOpt-Bridge and the roundtrip semantics.
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- Build the package: python3 -m build
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Project structure
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Note: The MVP is deliberately lean. The roadmap includes a canonical EnergiBridge for
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- src/cosmosmesh_privacy_preserving_federated: core models and logic (LocalProblem, SharedVariables, PlanDelta, etc.)
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vendor-agnostic interoperability, a minimal DSL, and two starter adapters to bootstrap
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- src/cosmosmesh_privacy_preserving_federated/adapters: starter adapters (rover_planner, habitat_module, etc.)
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cross-domain demonstrations.
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- tests: unit tests for the bridge, contracts, and basic flow
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- README.md: this documentation
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Development and contribution
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For maintainers
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- This MVP is designed to be extended in small, well-scoped steps. See AGENTS.md for repository-wide conventions and testing commands.
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- Follow the architecture described in AGENTS.md and keep changes small and well-documented.
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- To extend interoperability, add adapters implementing the canonical IR and use the conformance harness to validate compatibility before onboarding.
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- Add tests for any public surface changes.
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- If new dependencies are introduced, update pyproject.toml accordingly.
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Roadmap (high level)
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- Phase 0: protocol skeleton and 2 starter adapters with TLS transport; a lightweight ADMM-lite local solver; end-to-end delta-sync with islanding.
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- Phase 1: governance ledger scaffolding; identity layer; secure aggregation defaults.
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- Phase 2: cross-domain demo with a toy contract example and NovaPlan SDK bindings.
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- Phase 3: hardware-in-the-loop validation and KPI dashboards.
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This repository aims to be a practical foundation for cross-domain interoperability in privacy-preserving federated planning, with a clear path toward broader ecosystem reuse.
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Enhancements and MVP refinements
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- EnergiBridge-style canonical bridge: introduces a vendor-agnostic intermediate representation (IR) that maps CosmosMesh primitives to CatOpt-like primitives. Objects map to LocalProblems, Morphisms to SharedVariables/DualVariables, and PlanDelta blocks carry audit and privacy metadata. A Graph-of-Contracts (GoC) registry seeds adapter onboarding and schema versioning.
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- Minimal DSL seeds and interoperability kit: core seeds for LocalProblem, SharedVariables, DualVariables, PlanDelta, PrivacyBudget, AuditLog, and PolicyBlock with to_catopt interoperability helpers.
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- MVP wiring plan: 2–3 assets to start (e.g., rover, drone, habitat module) with a simple quadratic objective and an ADMM-lite solver; delta-sync for intermittent links; governance scaffolding.
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- Adapters and conformance: seed adapters and a lightweight conformance harness to validate interoperability against canonical schemas.
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- Security and governance groundwork: DIDs or short-lived certs, per-message crypto-tags, and tamper-evident logging to anchor mission decisions.
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@ -1,104 +1,107 @@
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"""EnergiBridge: minimal canonical bridge to IR for CosmosMesh MVP.
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This module provides a tiny, test-friendly bridge that translates a small
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set of per-asset primitives into a vendor-agnostic IR inspired by the
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EnergiBridge / CatOpt concepts used in the CosmosMesh MVP tests.
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The implementation is intentionally small but structured enough to serve as a
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drop-in for MVP wiring and for unit tests in this repository.
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"""
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from __future__ import annotations
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from __future__ import annotations
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from dataclasses import dataclass
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from dataclasses import dataclass
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from typing import Dict, Any, Optional, List
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from typing import Any, Dict, List, Optional
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# Reuse core CatOpt primitives for minimal compatibility in MVP
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from .catopt_bridge import LocalProblem, SharedVariable, DualVariable, PlanDelta
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@dataclass
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@dataclass
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class LocalProblemEP:
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class LocalProblemEP:
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"""Per-asset local problem definition used in the EnergiBridge.
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Minimal surface compatible with tests. Mirrors the fields used by tests.
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"""
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problem_id: str
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problem_id: str
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assets: List[str]
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assets: List[str]
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objective: str
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objective: Any
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constraints: List[str]
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constraints: Any
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data_contracts: Dict[str, Any]
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data_contracts: Optional[Dict[str, Any]] = None
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def to_dict(self) -> Dict[str, Any]:
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return {
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"problem_id": self.problem_id,
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"assets": self.assets,
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"objective": self.objective,
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"constraints": self.constraints,
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"data_contracts": self.data_contracts,
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}
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@dataclass
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class EnergiSignal:
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channel: str
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value: Any
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version: int = 0
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def to_dict(self) -> Dict[str, Any]:
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return {"channel": self.channel, "value": self.value, "version": self.version}
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@dataclass
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@dataclass
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class SharedVariableEP:
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class SharedVariableEP:
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"""Represents a shared variable payload (signal) in the IR."""
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channel: str
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channel: str
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version: int
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version: int
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payload: Dict[str, Any]
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payload: Dict[str, Any]
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def to_dict(self) -> Dict[str, Any]:
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return {"channel": self.channel, "version": self.version, "payload": self.payload}
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@dataclass
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@dataclass
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class DualVariableEP:
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class DualVariableEP:
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"""Represents a dual variable payload in the IR."""
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channel: str
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channel: str
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version: int
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version: int
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payload: Dict[str, Any]
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payload: Dict[str, Any]
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def to_dict(self) -> Dict[str, Any]:
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return {"channel": self.channel, "version": self.version, "payload": self.payload}
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@dataclass
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@dataclass
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class PlanDeltaEP:
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class PlanDeltaEP:
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delta_id: str
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delta_id: str
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changes: Dict[str, Any]
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changes: Dict[str, Any]
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timestamp: float
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timestamp: Optional[float] = None
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def to_dict(self) -> Dict[str, Any]:
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def to_dict(self) -> Dict[str, Any]:
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return {"delta_id": self.delta_id, "changes": self.changes, "timestamp": self.timestamp}
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return {
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"delta_id": self.delta_id,
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"changes": self.changes,
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"timestamp": self.timestamp,
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}
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class EnergiBridge:
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class EnergiBridge:
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"""Minimal EnergiBridge canonical bridge implementation.
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"""Translate CosmosMesh MVP primitives to a canonical IR (IR-v0.1)."""
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Maps CosmosMesh primitives into a vendor-agnostic Intermediary Representation
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suitable for cross-domain adapters.
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"""
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def to_energi(
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self,
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lp: LocalProblemEP,
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shared: List[SharedVariableEP],
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duals: List[DualVariableEP],
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deltas: Optional[List[PlanDeltaEP]] = None,
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) -> Dict[str, Any]:
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data = {
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"Version": "0.1",
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"Objects": {
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"LocalProblem": lp.to_dict(),
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},
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"Morphisms": [
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{"Morphisms": {"SharedVariable": sv.to_dict()}} for sv in shared
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] + [
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{"Morphisms": {"DualVariable": dv.to_dict()}} for dv in duals
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],
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}
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if deltas:
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data["Objects"]["PlanDeltas"] = [p.to_dict() for p in deltas]
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return data
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# Backwards-compatible API expected by existing tests
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def to_ir(
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def to_ir(
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self,
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self,
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lp: LocalProblemEP,
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lp: LocalProblemEP,
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shared: List[SharedVariableEP],
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svars: List[SharedVariableEP],
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duals: List[DualVariableEP],
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dvars: List[DualVariableEP],
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deltas: Optional[List[PlanDeltaEP]] = None,
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deltas: List[PlanDeltaEP],
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) -> Dict[str, Any]:
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) -> Dict[str, Any]:
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return self.to_energi(lp, shared, duals, deltas)
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# Versioning for the IR
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ir: Dict[str, Any] = {
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"Version": "0.1",
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"Objects": {
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# Expose the local problem payload directly for tests to inspect
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"LocalProblem": {
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"problem_id": lp.problem_id,
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"assets": lp.assets,
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"objective": lp.objective,
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"constraints": lp.constraints,
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"data_contracts": lp.data_contracts or {},
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},
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"PlanDeltas": [p.to_dict() for p in deltas],
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},
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}
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# Morphisms: a list where each item carries either a SharedVariable
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# or a DualVariable payload under a common key
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morphisms: List[Dict[str, Any]] = []
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for sv in svars:
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morphisms.append({
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"Morphisms": {
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"SharedVariable": sv.payload,
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"channel": sv.channel,
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"version": sv.version,
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}
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})
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for dv in dvars:
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morphisms.append({
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"Morphisms": {
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"DualVariable": dv.payload,
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"channel": dv.channel,
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"version": dv.version,
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}
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})
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ir["Morphisms"] = morphisms
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__all__ = ["EnergiBridge", "EnergiSignal"]
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return ir
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