build(agent): new-agents#a6e6ec iteration
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AGENTS.md
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AGENTS.md
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@ -25,3 +25,28 @@ Branching and publishing
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- When ready to publish, ensure pyproject.toml or setup.py exists and README.md documents package usage.
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End of document
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## ExoRoute Interoperability & MVP Roadmap (EnergiBridge)
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- Canonical interop bridge: EnergiBridge maps ExoRoute primitives into a CatOpt-style canonical IR.
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- Core mappings:
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- Objects = LocalProblem (per-venue routing/hedging tasks)
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- Morphisms = SharedVariables / DualVariables (signals and multipliers)
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- PlanDelta = incremental plan updates with provenance
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- PrivacyBudget / AuditLog blocks for governance and provenance
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- Graph-of-Contracts registry for adapters and schemas
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- MVP wiring (8–12 weeks, 2–3 agents to start):
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- Phase 0: protocol skeleton + 2 starter adapters (FIX/WebSocket feed adaptor and simulated venue) over TLS, lightweight ADMM-lite local solver, deterministic delta-sync
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- Phase 1: governance ledger & identity layer, secure aggregation defaults
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- Phase 2: cross-domain demo with EnergiBridge SDK and toy adapters
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- Phase 3: hardware-in-loop or network-simulated validation
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- Deliverables:
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- DSL seeds for interoperability (LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, GraphOfContractsRegistry)
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- Toy payload sketches and starter repository layout to seed EnergiBridge integration
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- Minimal EnergiBridge Python SDK bridging to adapters
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- Tests & metrics: delta size, replay determinism, convergence speed, adapter conformance, governance auditability
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If helpful, we will add a small toy sandbox demonstrating a 2-adapter MVP to seed interoperability with SignalVault/SignalCanvas-style ecosystems.
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@ -6,6 +6,9 @@ CatOpt-like ecosystems.
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"""
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from .dsl import LocalProblem, SharedVariables, PlanDelta, DualVariables, PrivacyBudget, AuditLog, GraphOfContractsRegistry, GraphOfContractsRegistryEntry
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from .energi_bridge import EnergiBridge
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from .adapters.fix_ws_feed_adapter import FIXWebSocketFeedAdapter
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from .adapters.simulated_venue_adapter import SimulatedVenueAdapter
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__all__ = [
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"LocalProblem",
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@ -16,4 +19,7 @@ __all__ = [
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"AuditLog",
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"GraphOfContractsRegistry",
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"GraphOfContractsRegistryEntry",
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"EnergiBridge",
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"FIXWebSocketFeedAdapter",
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"SimulatedVenueAdapter",
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]
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@ -1 +1,6 @@
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"""Adapters package for ExoRoute: starter adapters for price feeds and simulated venues."""
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"""Adapter registry for ExoRoute starter adapters."""
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from .fix_ws_feed_adapter import FIXWebSocketFeedAdapter
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from .simulated_venue_adapter import SimulatedVenueAdapter
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__all__ = ["FIXWebSocketFeedAdapter", "SimulatedVenueAdapter"]
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@ -0,0 +1,39 @@
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from __future__ import annotations
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from typing import Dict, Any, List
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from ..dsl import LocalProblem, SharedVariables
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class FIXWebSocketFeedAdapter:
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"""Minimal FIX/WebSocket price-feed adapter skeleton.
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This adapter exposes a tiny surface to produce mock price feed data that
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can be injected into EnergiBridge mappings or local problem instances.
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"""
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def __init__(self, address: str, topics: List[str] | None = None) -> None:
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self.address = address
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self.topics = topics or []
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self.connected = False
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def connect(self) -> None:
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# In a real implementation, establish TLS-secured FIX/WebSocket session
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self.connected = True
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def fetch_latest(self) -> Dict[str, Any]:
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if not self.connected:
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self.connect()
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# Return a tiny, deterministic mock price feed payload
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return {
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"venue": "FIX-WS-Mock",
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"data": {
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"bid": 100.0,
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"ask": 100.5,
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"volume": 1000,
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},
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}
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def to_local_problem(self, lp: LocalProblem) -> LocalProblem:
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# In a real wire-up this would translate feed data into constraints/objectives
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return lp
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@ -0,0 +1,34 @@
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from __future__ import annotations
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import random
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from typing import Dict, Any
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from ..dsl import PlanDelta, LocalProblem, SharedVariables
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class SimulatedVenueAdapter:
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"""A lightweight simulated venue adapter for MVP testing."""
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def __init__(self, venue_id: str = "SIM-VENUE-1") -> None:
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self.venue_id = venue_id
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def generate_signal(self) -> Dict[str, Any]:
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# Produce a tiny, deterministic-ish signal mix for testing
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price = 100.0 + random.uniform(-1.0, 1.0)
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return {
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"venue": self.venue_id,
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"signal": {
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"price": price,
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"spread": random.uniform(0.01, 0.05),
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"latency_ms": random.randint(1, 15),
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},
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}
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def to_local_problem(self, lp: LocalProblem) -> LocalProblem:
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# In a full MVP, this would modify the LocalProblem with simulated data
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return lp
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def produce_plan_delta(self, lp: LocalProblem, sv: SharedVariables) -> PlanDelta:
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# Minimal delta that encodes a trivial adjustment
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delta = {"venue_delta": {self.venue_id: {"adjustment": 0.0}}}
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return PlanDelta(delta=delta, timestamp=__import__('time').time(), author=self.venue_id, contract_id=lp.id)
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@ -1,43 +1,50 @@
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from __future__ import annotations
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from typing import Dict, Any, Optional
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from .core import LocalProblem, SharedVariables, PlanDelta, GraphOfContractsRegistry
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from dataclasses import asdict
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from typing import Dict, Any
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from .dsl import LocalProblem, SharedVariables, PlanDelta
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class EnergiBridge:
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"""Minimal bridge translating ExoRoute primitives to a canonical IR (EnergiBridge-style).
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This is a lightweight, extensible mapping scaffold for interoperability with CatOpt-like ecosystems.
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"""Minimal EnergiBridge-like interoperability bridge.
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This is a tiny, production-light skeleton that maps existing ExoRoute
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primitives into a canonical, CatOpt-style IR. It is intentionally small
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to keep the MVP focused while providing a hook for future integration with
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other adapters and governance modules.
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"""
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@staticmethod
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def to_canonical(local: LocalProblem, shared: SharedVariables, delta: Optional[PlanDelta] = None, registry: Optional[GraphOfContractsRegistry] = None) -> Dict[str, Any]:
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can = {
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"Objects": {
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"LocalProblem": {
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"id": local.id,
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"domain": local.domain,
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"assets": local.assets,
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"objective": local.objective,
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"constraints": local.constraints,
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"solver_hint": local.solver_hint,
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}
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},
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"Morphisms": {
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"SharedVariables": {
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"forecasts": getattr(shared, "forecasts", {}),
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"priors": getattr(shared, "priors", {}),
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"version": getattr(shared, "version", 0),
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"timestamp": getattr(shared, "timestamp", 0.0),
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},
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"DualVariables": {},
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},
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"PlanDelta": delta.delta if delta else {},
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def __init__(self) -> None:
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# In a real system this would be a persistent registry of adapters and
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# schemas. For this skeleton we just keep a minimal in-memory map.
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self._registry: Dict[str, Any] = {}
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def register_adapter(self, adapter_id: str, contract_version: str, domains: list[str]) -> None:
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self._registry[adapter_id] = {
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"contract_version": contract_version,
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"domains": domains,
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}
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# Optional registry embedding for interoperability and provenance
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if registry is not None:
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can["GraphOfContractsRegistry"] = {
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entry_id: {
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"adapter_id": entry.adapter_id,
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"supported_domains": entry.supported_domains,
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"contract_version": entry.contract_version,
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}
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for entry_id, entry in registry.entries.items()
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}
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return can
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def map_to_ir(self, lp: LocalProblem, sv: SharedVariables, pd: PlanDelta) -> Dict[str, Any]:
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"""Create a canonical IR payload from ExoRoute primitives.
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This payload is deliberately lightweight but designed to be serializable
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and replayable. It can be extended to include per-message metadata,
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signatures, and versioning as the project matures.
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"""
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ir = {
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"object": {
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"type": "LocalProblem",
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"payload": asdict(lp),
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},
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"morphisms": {
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"shared_variables": asdict(sv) if isinstance(sv, SharedVariables) else sv,
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"dual_variables": {}, # placeholder for future expansion
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},
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"plan_delta": asdict(pd) if isinstance(pd, PlanDelta) else pd,
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}
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return ir
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def __repr__(self) -> str:
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return f" EnergiBridge(registry_entries={len(self._registry)})"
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@ -0,0 +1,17 @@
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import time
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from exoroute import LocalProblem, SharedVariables, PlanDelta, EnergiBridge
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def test_energi_bridge_map_to_ir_basic():
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lp = LocalProblem(id="LP-001", domain="equities", assets=["AAPL", "MSFT"], objective="min_latency", constraints={})
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sv = SharedVariables(forecasts={"AAPL": 150.0}, priors={"AAPL": 149.5}, version=1)
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pd = PlanDelta(delta={"route": {"AAPL": "optim"}}, timestamp=time.time(), author="tester", contract_id=lp.id)
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bridge = EnergiBridge()
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ir = bridge.map_to_ir(lp, sv, pd)
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# Basic structural checks
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assert "object" in ir
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assert ir["object"]["type"] == "LocalProblem"
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assert ir["morphisms"]["shared_variables"]["forecasts"]["AAPL"] == 150.0
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assert ir["plan_delta"]["author"] == "tester"
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