build(agent): new-agents-4#58ba63 iteration

examples/orchestrator.py

@@ -0,0 +1,59 @@
+"""
+Tiny orchestrator example:
+- Wire two adapters (FIX feed and simulated venue) to SignalCanvas primitives
+- Produce PlanDelta updates and reconcile across partitions using delta_sync
+- Demonstrate exporting a narrative via NLP helper and recording to governance ledger
+"""
+import time
+from signalcanvas_graph_based_market_signal_s import (
+    Graph,
+    SignalNode,
+    Link,
+    HedgePlan,
+    GraphRegistry,
+    replay_deltas,
+)
+from signalcanvas_graph_based_market_signal_s.adapters import FixFeedAdapter, SimulatedVenueAdapter
+from signalcanvas_graph_based_market_signal_s.delta_sync import (
+    create_plan_delta,
+)
+from signalcanvas_graph_based_market_signal_s.nlp import generate_narrative
+from signalcanvas_graph_based_market_signal_s.ledger import GovernanceLedger
+
+
+def demo_run():
+    # Setup a tiny graph with two signals
+    g = Graph()
+    n1 = SignalNode(id="n1", type="price", asset="AAPL", venue="FIX", timestamp=time.time(), value=150.0)
+    n2 = SignalNode(id="n2", type="depth", asset="AAPL", venue="FIX", timestamp=time.time(), value=1.2)
+    g.add_node(n1)
+    g.add_node(n2)
+    g.add_link(Link(from_id="n1", to_id="n2", relation="lead-lag"))
+    g.add_hedge(HedgePlan(id="h1", delta={"AAPL": 2.0}, scenario_name="sc1", timestamp=time.time()))
+
+    # Two adapters (one real-like FIX feed, one simulated venue)
+    fix = FixFeedAdapter(asset="AAPL")
+    sim = SimulatedVenueAdapter(assets=["AAPL", "MSFT"])
+
+    # Create a couple deltas as if these feeds produced updates
+    pd1 = create_plan_delta("plan-1", {"AAPL": 1.0}, 1, "demo-signer")
+    pd2 = create_plan_delta("plan-1", {"MSFT": 0.5}, 2, "demo-signer")
+
+    narrative = generate_narrative(pd1.delta, context="demo run")
+    print("Narrative:\n", narrative)
+
+    # Governance ledger entry (mock)
+    ledger = GovernanceLedger(signer_key="demo-signer-key")
+    ledger.append(pd1.plan_id, pd1.delta)
+    print("Ledger entries:", len(ledger.entries))
+
+    # Simple delta replay for demonstration
+    state = {"AAPL": 100.0, "MSFT": 200.0}
+    state = replay_deltas(state, [pd1.delta, pd2.delta])
+    print("Replayed state:", state)
+
+    return 0
+
+
+if __name__ == "__main__":
+    demo_run()

tests/test_delta_sync_integration.py

@@ -0,0 +1,27 @@
+from signalcanvas_graph_based_market_signal_s.delta_sync import (
+    create_plan_delta,
+    reconcile_runs,
+    sign_delta,
+)
+
+
+def test_plan_delta_signature_and_reconciliation():
+    plan_id = "plan-xyz"
+    delta1 = {"AAPL": 1.0}
+    delta2 = {"AAPL": -0.25, "MSFT": 0.75}
+    version1 = 1
+    signer = "integration-signer"
+
+    # Create two deltas with signatures
+    pd1 = create_plan_delta(plan_id, delta1, version1, signer)
+    assert isinstance(pd1.signature, str) and len(pd1.signature) > 0
+
+    pd2 = create_plan_delta(plan_id, delta2, version1 + 1, signer)
+    assert isinstance(pd2.signature, str) and len(pd2.signature) > 0
+
+    # Reconcile as if two partitions produced deltas
+    merged = reconcile_runs([pd1], [pd2])
+    # AAPL: 1.0 + (-0.25) = 0.75
+    # MSFT: 0.75
+    assert abs(merged["AAPL"] - 0.75) < 1e-9
+    assert abs(merged["MSFT"] - 0.75) < 1e-9