build(agent): new-agents-2#7e3bbc iteration
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README.md
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README.md
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@ -3,23 +3,23 @@
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CrossVenueArbX is a lightweight, privacy-aware framework for federated discovery and execution of cross-venue equity arbitrage signals.
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- Core IR: LocalArbProblem, SharedSignals, PlanDelta, DualVariables, AuditLog, PrivacyBudget.
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- Lightweight coordination: Async ADMM-lite with deterministic replay and bounded staleness.
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- Deterministic coordination: replay-stable plan signatures, stable merges, and reconnect reconciliation.
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- Privacy by design: secure aggregation stubs, optional local DP budgets, cryptographic attestation of adapters.
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- Adapters and data feeds: starter price-feed adapters and a minimal broker adapter for execution.
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- Governance and provenance: tamper-evident audit logs and a Graph-of-Contracts registry.
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- Adapters and data feeds: deterministic starter price-feed adapters and a broker adapter for execution.
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- Governance and provenance: tamper-evident audit logs, contract fingerprints, and a Graph-of-Contracts registry.
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- MVP pipeline: Phase 0 skeleton with 2 starter adapters; Phase 1 governance ledger; Phase 2 cross-venue demo; Phase 3 production-like testing and SDK.
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Getting Started
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- Run tests and build: `bash test.sh`.
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- Run the demo locally: `python -m crossvenue_arbx.demo --iterations 3`.
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- View coverage and governance artefacts in `crossvenue_arbx/governance.py` and `crossvenue_arbx/core.py`.
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- Interoperability: a lightweight EnergiBridge (crossvenue_arbx.bridge) translates CrossVenueArbX primitives into a canonical CatOpt-IR for integration with external ecosystems.
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- Interoperability: a lightweight EnergiBridge (`crossvenue_arbx.bridge`) translates CrossVenueArbX primitives into a canonical CatOpt-IR for integration with external ecosystems.
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Architecture Summary
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- Local signal discovery per venue; aggregated signals managed by a central coordinator.
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- PlanDelta encodes actionable cross-venue arb legs.
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- Graph-of-Contracts provides versioning for adapters and data contracts.
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- CRDT-like delta merges enable deterministic replay after reconnects.
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- CRDT-like delta merges enable deterministic replay after reconnects, with canonical fingerprints for governance and audit trails.
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Usage and API surface
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- LocalArbProblem: per-asset, per-venue problem statement.
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@ -4,6 +4,7 @@ from .core import LocalArbProblem, SharedSignals, PlanDelta, DualVariables, Audi
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from .adapters import PriceFeedAdapter, BrokerAdapter
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from .coordinator import CentralCoordinator
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from .governance import GraphOfContracts
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from .bridge import EnergiBridge
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__all__ = [
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"LocalArbProblem",
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@ -16,4 +17,5 @@ __all__ = [
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"BrokerAdapter",
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"CentralCoordinator",
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"GraphOfContracts",
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"EnergiBridge",
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]
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@ -5,6 +5,11 @@ from typing import Dict, Any
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from .core import LocalArbProblem, SharedSignals, PlanDelta
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def _deterministic_delta(seed: str) -> float:
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basis = sum(ord(ch) for ch in seed)
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return 0.0002 * (basis % 5)
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class PriceFeedAdapter:
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"""Adapter A: emits LocalArbProblem + SharedSignals on a fixed cadence."""
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@ -14,18 +19,17 @@ class PriceFeedAdapter:
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self.version = 1
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def step(self) -> tuple[LocalArbProblem, SharedSignals]:
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# Create a simple local arb problem and some market deltas
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prob = LocalArbProblem(
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id=f"{self.venue}-p1",
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venue=self.venue,
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assets=self.assets,
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target_misprice=0.001, # placeholder target
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target_misprice=0.001,
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max_exposure=100000.0,
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latency_budget=0.1,
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)
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signals = SharedSignals(
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version=self.version,
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price_delta_by_asset={a: 0.0001 * (hash(a) % 5) for a in self.assets},
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price_delta_by_asset={a: _deterministic_delta(f"{self.venue}:{a}") for a in self.assets},
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cross_corr={(a1, a2): 0.1 for a1 in self.assets for a2 in self.assets if a1 != a2},
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liquidity_estimates={a: 1.0 for a in self.assets},
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)
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@ -40,19 +44,23 @@ class BrokerAdapter:
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self.venue = venue
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def execute(self, plan: PlanDelta) -> Dict[str, Any]:
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# Simulate a fill with deterministic outcome based on delta_actions
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fills = []
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for action in plan.delta_actions:
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fills.append({
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fills.append(
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{
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"asset": action.get("asset"),
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"size": action.get("size"),
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"from": action.get("from_venue"),
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"to": action.get("to_venue"),
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"status": "filled",
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})
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"fee_bps": 1.0,
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}
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)
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return {
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"venue": self.venue,
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"timestamp": plan.timestamp,
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"fills": fills,
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"ack": True,
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"contract_id": plan.contract_id,
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"signature": plan.signature,
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}
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@ -12,7 +12,7 @@ Rationale:
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- Supports deterministic replay semantics by producing stable, versioned IR blocks
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"""
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from typing import Any, Dict
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from typing import Any, Dict, Optional
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from .core import LocalArbProblem, SharedSignals, PlanDelta
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@ -21,7 +21,11 @@ class EnergiBridge:
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"""Bridge utility to convert CrossVenueArbX primitives to a CatOpt-like IR."""
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@staticmethod
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def to_catopt(problem: LocalArbProblem, signals: SharedSignals) -> Dict[str, Any]:
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def to_catopt(
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problem: LocalArbProblem,
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signals: SharedSignals,
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plan_delta: Optional[PlanDelta] = None,
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) -> Dict[str, Any]:
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"""Convert a LocalArbProblem and its associated SharedSignals into a
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canonical, vendor-agnostic representation.
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@ -31,26 +35,19 @@ class EnergiBridge:
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the MVP lean while still providing a predictable schema.
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"""
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catopt: Dict[str, Any] = {
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"version": max(getattr(problem, "version", 0), getattr(signals, "version", 0))
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if hasattr(problem, "version") or hasattr(signals, "version")
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else 1,
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"version": max(getattr(problem, "version", 0), signals.version, 1),
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"contract_id": problem.fingerprint(),
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"objects": {
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"LocalArbProblem": problem.to_dict(),
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"SharedSignals": {
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"version": signals.version,
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"price_delta_by_asset": dict(signals.price_delta_by_asset),
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"cross_corr": dict(signals.cross_corr),
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"liquidity_estimates": dict(signals.liquidity_estimates),
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},
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"LocalArbProblem": {**problem.to_dict(), "fingerprint": problem.fingerprint()},
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"SharedSignals": {**signals.to_dict(), "fingerprint": signals.fingerprint()},
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},
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"morphisms": {
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"SharedSignals": {
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"version": signals.version,
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# shallow representation; real implementations may include attestations
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"connections": list(signals.cross_corr.keys()),
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"connections": sorted((repr(key) for key in signals.cross_corr.keys())),
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}
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},
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"plan_delta_ref": None, # linked PlanDelta would be populated at runtime
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"plan_delta_ref": plan_delta.to_dict() if plan_delta is not None else None,
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}
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return catopt
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@ -64,4 +61,5 @@ class EnergiBridge:
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return {
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"objects": catopt.get("objects", {}),
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"morphisms": catopt.get("morphisms", {}),
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"plan_delta_ref": catopt.get("plan_delta_ref"),
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}
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@ -1,6 +1,5 @@
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from __future__ import annotations
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import time
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from typing import Dict, List, Any
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from .core import LocalArbProblem, SharedSignals, PlanDelta
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@ -25,6 +24,16 @@ class CentralCoordinator:
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# Optional bridge for canonical IR interoperability (can be used by adapters)
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self.bridge = EnergiBridge()
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self.last_catopt: Dict[str, Any] | None = None
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self.replay_log: List[str] = []
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def _other_venue(self, venue: str) -> str:
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venues = sorted(self.shared_signals_by_venue)
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if len(venues) < 2:
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return "VenueB" if venue != "VenueB" else "VenueA"
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for candidate in venues:
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if candidate != venue:
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return candidate
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return venue
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def ingest_local(self, risk_source: LocalArbProblem, signals: SharedSignals) -> PlanDelta | None:
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self.version += 1
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@ -35,46 +44,49 @@ class CentralCoordinator:
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except Exception:
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# Non-critical for MVP; retain existing behavior on bridge failure
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self.last_catopt = None
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# Naive cross-venue decision: if any price_delta_by_asset exceeds threshold, propose cross-venue move
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delta = []
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for asset, delta_price in signals.price_delta_by_asset.items():
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for asset in sorted(signals.price_delta_by_asset):
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delta_price = signals.price_delta_by_asset[asset]
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if abs(delta_price) > 0.0005:
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# simple dummy cross-venue action: move asset from venue A to venue B (names inferred)
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action = {
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"from_venue": risk_source.venue,
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"to_venue": "VenueB" if risk_source.venue != "VenueB" else "VenueA",
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"to_venue": self._other_venue(risk_source.venue),
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"asset": asset,
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"size": 10.0 * abs(delta_price),
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"time": time.time(),
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"size": min(risk_source.max_exposure, 10_000.0 * abs(delta_price)),
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"time": float(self.version),
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}
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delta.append(action)
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if delta:
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contract_id = risk_source.fingerprint()
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plan = PlanDelta(
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delta_actions=delta,
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timestamp=time.time(),
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contract_id="contract-1",
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signature=f"sig-{self.version}",
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timestamp=float(self.version),
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contract_id=contract_id,
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)
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self.last_plan = plan
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self.pending_delta_actions.append(delta)
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self.contracts.register(contract_id, adapter_version=str(signals.version), schema_hash=plan.signature)
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self.replay_log.append(plan.signature)
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return plan
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return None
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def reconcile(self) -> PlanDelta | None:
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# Deterministic delta reconciliation on reconnect: merge all pending deltas
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if not self.pending_delta_actions:
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return None
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# Flatten actions and sort by a stable key
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merged = []
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for d in self.pending_delta_actions:
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merged.extend(d)
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merged.sort(key=lambda a: (a.get("from_venue"), a.get("to_venue"), a.get("asset")))
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contract_id = "merged:" + ",".join(
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sorted({action.get("asset", "") for action in merged})
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)
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plan = PlanDelta(
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delta_actions=merged,
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timestamp=time.time(),
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contract_id="contract-merged",
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signature=f"sig-reconciled-{len(self.pending_delta_actions)}",
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timestamp=float(self.version),
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contract_id=contract_id,
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)
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self.pending_delta_actions.clear()
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self.last_plan = plan
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self.contracts.register(contract_id, adapter_version="reconciled", schema_hash=plan.signature)
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self.replay_log.append(plan.signature)
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return plan
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@ -1,9 +1,26 @@
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from __future__ import annotations
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import hashlib
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import json
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from dataclasses import dataclass, field
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from typing import Dict, List, Any
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def _stable_json(payload: Dict[str, Any]) -> str:
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def normalize(value: Any) -> Any:
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if isinstance(value, dict):
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return {str(key): normalize(val) for key, val in sorted(value.items(), key=lambda item: _stable_key(item[0]))}
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if isinstance(value, (list, tuple)):
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return [normalize(item) for item in value]
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return value
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return json.dumps(normalize(payload), sort_keys=True, separators=(",", ":"), default=str)
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def _stable_key(item: Any) -> str:
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return repr(item)
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@dataclass
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class LocalArbProblem:
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id: str
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@ -23,27 +40,38 @@ class LocalArbProblem:
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"latency_budget": self.latency_budget,
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}
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def fingerprint(self) -> str:
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return hashlib.sha256(_stable_json(self.to_dict()).encode("utf-8")).hexdigest()
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@dataclass
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class SharedSignals:
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version: int
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price_delta_by_asset: Dict[str, float] = field(default_factory=dict)
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cross_corr: Dict[str, float] = field(default_factory=dict)
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cross_corr: Dict[Any, float] = field(default_factory=dict)
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liquidity_estimates: Dict[str, float] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"version": self.version,
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"price_delta_by_asset": dict(self.price_delta_by_asset),
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"cross_corr": dict(self.cross_corr),
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"liquidity_estimates": dict(self.liquidity_estimates),
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}
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def fingerprint(self) -> str:
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return hashlib.sha256(_stable_json(self.to_dict()).encode("utf-8")).hexdigest()
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def merge(self, other: "SharedSignals") -> "SharedSignals":
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# Simple deterministic merge: take max delta per asset and average correlations
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merged = SharedSignals(version=max(self.version, other.version))
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# merge price deltas by taking the maximum absolute delta for stability
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keys = set(self.price_delta_by_asset) | set(other.price_delta_by_asset)
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keys = sorted(set(self.price_delta_by_asset) | set(other.price_delta_by_asset), key=_stable_key)
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for k in keys:
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a = self.price_delta_by_asset.get(k, 0.0)
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b = other.price_delta_by_asset.get(k, 0.0)
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merged.price_delta_by_asset[k] = a if abs(a) >= abs(b) else b
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# simple average for correlations and liquidity estimates
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for k in set(self.cross_corr) | set(other.cross_corr):
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for k in sorted(set(self.cross_corr) | set(other.cross_corr), key=_stable_key):
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merged.cross_corr[k] = (self.cross_corr.get(k, 0.0) + other.cross_corr.get(k, 0.0)) / 2.0
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for k in set(self.liquidity_estimates) | set(other.liquidity_estimates):
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for k in sorted(set(self.liquidity_estimates) | set(other.liquidity_estimates), key=_stable_key):
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merged.liquidity_estimates[k] = (
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self.liquidity_estimates.get(k, 0.0) + other.liquidity_estimates.get(k, 0.0)
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) / 2.0
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delta_actions: List[Dict[str, Any]]
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timestamp: float
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contract_id: str
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signature: str
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signature: str = ""
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def __post_init__(self) -> None:
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if not self.signature:
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self.signature = self.fingerprint()
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def to_dict(self) -> Dict[str, Any]:
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return {
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@ -65,23 +97,47 @@ class PlanDelta:
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"signature": self.signature,
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}
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def fingerprint(self) -> str:
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payload = {
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"contract_id": self.contract_id,
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"delta_actions": self.delta_actions,
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"timestamp": self.timestamp,
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}
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return hashlib.sha256(_stable_json(payload).encode("utf-8")).hexdigest()
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@dataclass
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class DualVariables:
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shadow_price: float = 0.0
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def to_dict(self) -> Dict[str, Any]:
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return {"shadow_price": self.shadow_price}
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@dataclass
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class AuditLog:
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entries: List[str] = field(default_factory=list)
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hashes: List[str] = field(default_factory=list)
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def log(self, msg: str) -> None:
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prev = self.hashes[-1] if self.hashes else ""
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entry_hash = hashlib.sha256(f"{prev}|{msg}".encode("utf-8")).hexdigest()
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self.entries.append(msg)
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self.hashes.append(entry_hash)
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def root_hash(self) -> str:
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return self.hashes[-1] if self.hashes else ""
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@dataclass
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class PrivacyBudget:
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leakage_budget: float
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def remaining(self) -> float:
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return self.leakage_budget
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def can_consume(self, amount: float) -> bool:
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return amount <= self.leakage_budget
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def consume(self, amount: float) -> None:
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self.leakage_budget = max(0.0, self.leakage_budget - amount)
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@ -1,7 +1,7 @@
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Dict, List
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from typing import Dict, List, Optional
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@dataclass
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@ -9,8 +9,13 @@ class GraphOfContracts:
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"""A simple in-memory registry for contract adapters and versions."""
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contracts: Dict[str, Dict[str, str]] = field(default_factory=dict)
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def register(self, contract_id: str, adapter_version: str) -> None:
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self.contracts[contract_id] = {"adapter_version": adapter_version}
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def register(self, contract_id: str, adapter_version: str, schema_hash: str = "") -> Dict[str, str]:
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record = {"adapter_version": adapter_version, "schema_hash": schema_hash}
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self.contracts[contract_id] = record
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return record
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def get_version(self, contract_id: str) -> str | None:
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def get_version(self, contract_id: str) -> Optional[str]:
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return self.contracts.get(contract_id, {}).get("adapter_version")
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def get_record(self, contract_id: str) -> Dict[str, str]:
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return dict(self.contracts.get(contract_id, {}))
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@ -1,5 +1,5 @@
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from crossvenue_arbx.bridge import EnergiBridge
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||||
from crossvenue_arbx.core import LocalArbProblem, SharedSignals
|
||||
from crossvenue_arbx.core import LocalArbProblem, SharedSignals, PlanDelta
|
||||
|
||||
|
||||
def test_to_catopt_basic_structure():
|
||||
|
|
@ -31,3 +31,25 @@ def test_to_catopt_basic_structure():
|
|||
assert objs["LocalArbProblem"]["venue"] == "Venue1"
|
||||
assert "SharedSignals" in objs
|
||||
assert objs["SharedSignals"]["version"] == 1
|
||||
|
||||
|
||||
def test_to_catopt_with_plan_delta_round_trip():
|
||||
problem = LocalArbProblem(
|
||||
id="venue1-p1",
|
||||
venue="Venue1",
|
||||
assets=["AAPL"],
|
||||
target_misprice=0.001,
|
||||
max_exposure=100000.0,
|
||||
latency_budget=0.1,
|
||||
)
|
||||
signals = SharedSignals(version=2, price_delta_by_asset={"AAPL": 0.001})
|
||||
plan = PlanDelta(
|
||||
delta_actions=[{"from_venue": "Venue1", "to_venue": "Venue2", "asset": "AAPL", "size": 1.0, "time": 2.0}],
|
||||
timestamp=2.0,
|
||||
contract_id=problem.fingerprint(),
|
||||
)
|
||||
|
||||
catopt = EnergiBridge.to_catopt(problem, signals, plan)
|
||||
decoded = EnergiBridge.from_catopt(catopt)
|
||||
|
||||
assert decoded["plan_delta_ref"]["contract_id"] == problem.fingerprint()
|
||||
|
|
|
|||
|
|
@ -4,7 +4,8 @@ import sys
|
|||
BASE = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
|
||||
if BASE not in sys.path:
|
||||
sys.path.insert(0, BASE)
|
||||
from crossvenue_arbx.core import LocalArbProblem, SharedSignals, PlanDelta
|
||||
from crossvenue_arbx.core import LocalArbProblem, SharedSignals, PlanDelta, AuditLog, PrivacyBudget
|
||||
from crossvenue_arbx.governance import GraphOfContracts
|
||||
|
||||
|
||||
def test_local_arb_problem_serialization():
|
||||
|
|
@ -29,3 +30,31 @@ def test_shared_signals_merge_basic():
|
|||
assert merged.version >= 2
|
||||
assert "AAPL" in merged.price_delta_by_asset
|
||||
assert "MSFT" in merged.price_delta_by_asset
|
||||
|
||||
|
||||
def test_plan_delta_signature_is_stable():
|
||||
plan = PlanDelta(
|
||||
delta_actions=[{"from_venue": "VenueA", "to_venue": "VenueB", "asset": "AAPL", "size": 1.0, "time": 1.0}],
|
||||
timestamp=1.0,
|
||||
contract_id="contract-x",
|
||||
)
|
||||
assert plan.signature
|
||||
assert plan.signature == plan.fingerprint()
|
||||
|
||||
|
||||
def test_audit_log_hash_chain_and_privacy_budget():
|
||||
log = AuditLog()
|
||||
log.log("first")
|
||||
log.log("second")
|
||||
assert log.root_hash()
|
||||
budget = PrivacyBudget(leakage_budget=1.0)
|
||||
assert budget.can_consume(0.25)
|
||||
budget.consume(0.25)
|
||||
assert budget.remaining() == 0.75
|
||||
|
||||
|
||||
def test_governance_registry_tracks_metadata():
|
||||
registry = GraphOfContracts()
|
||||
registry.register("contract-x", "1.2.3", "schema-abc")
|
||||
assert registry.get_version("contract-x") == "1.2.3"
|
||||
assert registry.get_record("contract-x")["schema_hash"] == "schema-abc"
|
||||
|
|
|
|||
|
|
@ -41,3 +41,23 @@ def test_end_to_end_two_venues_basic_reconciliation():
|
|||
actions = recon.delta_actions
|
||||
sorted_actions = sorted(actions, key=lambda x: (x.get("from_venue"), x.get("to_venue"), x.get("asset")))
|
||||
assert actions == sorted_actions
|
||||
assert recon.signature
|
||||
|
||||
|
||||
def test_price_feed_and_execution_are_deterministic():
|
||||
ad1 = PriceFeedAdapter("VenueA", ["AAPL", "MSFT"])
|
||||
ad2 = PriceFeedAdapter("VenueA", ["AAPL", "MSFT"])
|
||||
p1, s1 = ad1.step()
|
||||
p2, s2 = ad2.step()
|
||||
|
||||
assert p1.fingerprint() == p2.fingerprint()
|
||||
assert s1.price_delta_by_asset == s2.price_delta_by_asset
|
||||
|
||||
coord1 = CentralCoordinator()
|
||||
coord2 = CentralCoordinator()
|
||||
plan1 = coord1.ingest_local(p1, s1)
|
||||
plan2 = coord2.ingest_local(p2, s2)
|
||||
|
||||
assert plan1 is not None and plan2 is not None
|
||||
assert plan1.signature == plan2.signature
|
||||
assert plan1.to_dict() == plan2.to_dict()
|
||||
|
|
|
|||
Loading…
Reference in New Issue