feat(agent): add p0 harbor blocker loop sample

apps/api/src/services/ai_agent_log_intelligence_integration_readback.py

@@ -146,6 +146,15 @@ def load_latest_ai_agent_log_intelligence_integration_readback(
     missing_lane_count = len(lanes) - ready_lane_count
     runtime_sample = _load_runtime_sample(root)
     runtime_sample_present = runtime_sample is not None
+    runtime_samples = runtime_sample.get("samples", []) if runtime_sample else []
+    current_p0_blocker_sample_present = _sample_present(
+        runtime_samples,
+        "p0_110_harbor_runner_control_path_sample",
+    )
+    controlled_recovery_package_sample_present = _sample_event_present(
+        runtime_samples,
+        "local_recovery_package_packaged",
+    )
     label_field_count = len(
         {field for group in _LABEL_TAXONOMY for field in group["required_fields"]}
     )
@@ -199,6 +208,12 @@ def load_latest_ai_agent_log_intelligence_integration_readback(
             "runtime_sample_count": len(runtime_sample.get("samples", []))
             if runtime_sample
             else 0,
+            "current_p0_blocker_runtime_sample_present": (
+                current_p0_blocker_sample_present
+            ),
+            "controlled_recovery_package_sample_present": (
+                controlled_recovery_package_sample_present
+            ),
             "km_rag_feedback_receipt_ready": _feedback_ready(
                 runtime_sample,
                 "km_rag_feedback_receipt_ready",
@@ -298,6 +313,21 @@ def _feedback_ready(runtime_sample: dict[str, Any] | None, field: str) -> bool:
     return (runtime_sample.get("feedback_receipt_readiness") or {}).get(field) is True
 
 
+def _sample_present(samples: Any, sample_id: str) -> bool:
+    return any(
+        isinstance(sample, dict) and sample.get("sample_id") == sample_id
+        for sample in samples
+    )
+
+
+def _sample_event_present(samples: Any, event: str) -> bool:
+    return any(
+        isinstance(sample, dict)
+        and event in {str(item) for item in sample.get("observed_events", [])}
+        for sample in samples
+    )
+
+
 def _build_lane(root: Path, lane: dict[str, Any]) -> dict[str, Any]:
     evidence_refs = [str(ref) for ref in lane["required_refs"]]
     missing_refs = [ref for ref in evidence_refs if not _ref_exists(root, ref)]