from src.services.ai_agent_autonomous_runtime_control import ( _RUNTIME_PLAYBOOK_TRUST_COUNTS_FALLBACK_SQL, _RUNTIME_TIMELINE_COUNTS_SQL, build_ai_agent_autonomous_runtime_control, build_runtime_receipt_readback_from_rows, classify_deploy_control_plane_observation, ) def test_runtime_receipt_auxiliary_sql_keeps_source_family_counts_schema_safe(): assert "GROUP BY coalesce(status, 'unknown')" in _RUNTIME_TIMELINE_COUNTS_SQL assert "FROM timeline_events" in _RUNTIME_TIMELINE_COUNTS_SQL assert "count(*) AS total" in _RUNTIME_PLAYBOOK_TRUST_COUNTS_FALLBACK_SQL assert "FROM playbooks" in _RUNTIME_PLAYBOOK_TRUST_COUNTS_FALLBACK_SQL assert "updated_at" not in _RUNTIME_PLAYBOOK_TRUST_COUNTS_FALLBACK_SQL assert "trust_score" not in _RUNTIME_PLAYBOOK_TRUST_COUNTS_FALLBACK_SQL def test_ai_agent_autonomous_runtime_control_uses_current_owner_directive(): data = build_ai_agent_autonomous_runtime_control() assert data["schema_version"] == "ai_agent_autonomous_runtime_control_v1" assert data["program_status"]["runtime_authority"] == ( "current_owner_directive_controlled_ai_automation" ) assert data["program_status"]["deploy_readback_marker"] == ( "p2_416_d1n_autonomous_runtime_control_prod_readback_v2" ) assert data["program_status"]["deploy_attempt_note"] == ( "cd_internal_control_plane_readback_retry_20260628_2" ) assert data["program_status"]["legacy_no_send_no_live_rules_overridden"] is True assert data["program_status"]["implementation_completion_percent"] == 88 assert data["current_policy"]["low_risk_controlled_apply_allowed"] is True assert data["current_policy"]["medium_risk_controlled_apply_allowed"] is True assert data["current_policy"]["high_risk_controlled_apply_allowed"] is True assert data["current_policy"]["owner_review_required_for_low_medium_high"] is False assert data["current_policy"]["telegram_gateway_required"] is True assert data["current_policy"]["direct_bot_api_allowed"] is False assert data["current_policy"]["post_apply_verifier_required"] is True assert data["current_policy"]["km_learning_writeback_required"] is True def test_ai_agent_autonomous_runtime_control_exposes_reports_and_executor_receipts(): data = build_ai_agent_autonomous_runtime_control() cadences = {item["cadence"]: item for item in data["report_delivery"]["cadences"]} assert set(cadences) == {"daily", "weekly", "monthly"} assert {item["telegram_gateway_delivery_enabled"] for item in cadences.values()} == {True} assert {item["direct_bot_api_allowed"] for item in cadences.values()} == {False} assert "run_daily_report_loop" in cadences["daily"]["worker"] assert "run_weekly_report_loop" in cadences["weekly"]["worker"] assert "run_monthly_report_loop" in cadences["monthly"]["worker"] operation_types = { item["operation_type"] for item in data["controlled_executor"]["operation_receipts"] } assert { "ansible_candidate_matched", "ansible_check_mode_executed", "ansible_apply_executed", "incident_evidence.post_execution_state", "knowledge_entries", }.issubset(operation_types) assert data["rollups"]["automated_risk_tier_count"] == 3 assert data["rollups"]["report_cadence_enabled_count"] == 3 assert data["rollups"]["direct_bot_api_allowed_count"] == 0 assert data["rollups"]["legacy_policy_overridden_count"] >= 4 assert data["runtime_receipt_readback"]["db_read_status"] == "not_queried" assert data["runtime_receipt_readback"]["learning_loop"]["status"] == "in_progress" assert ( data["runtime_receipt_readback"]["learning_loop"]["rollups"][ "required_stage_missing_count" ] == 7 ) def test_ai_agent_autonomous_runtime_control_exposes_internal_control_loop(): data = build_ai_agent_autonomous_runtime_control() integration = data["control_plane_integration"] assert integration["schema_version"] == "ai_agent_autonomous_runtime_internal_loop_v1" assert integration["status"] == "mcp_rag_km_playbook_log_control_loop_declared" assert {sensor["normalized_event"] for sensor in integration["mcp_sensors"]} == { "RunObservation", "RunnerLaneState", "ProductionTruthSnapshot", "FrontendTruthSnapshot", } assert "controlled_cd_lane_capacity_label_guardrails" in integration["rag_context_queries"] assert "running_no_container_stale_ui" in integration["playbook_decision_classes"] assert integration["km_writeback_contract"]["stores_raw_logs"] is False assert integration["km_writeback_contract"]["stores_secret_values"] is False assert integration["log_projection_contract"]["raw_html_or_long_log_allowed"] is False assert data["rollups"]["mcp_sensor_count"] == 4 assert data["rollups"]["playbook_decision_class_count"] == 7 def test_deploy_control_plane_classifier_separates_stale_spinner_from_real_failure(): stale = classify_deploy_control_plane_observation( run_status="running", is_latest_deploy_intent=True, active_task_container_count=0, production_marker_hit=True, latest_flow_closed=True, runner_capacity_ok=True, runner_forbidden_label_count=0, ) assert stale["classification"] == "running_no_container_stale_ui" assert stale["action"] == "treat_gitea_spinner_as_stale_and_keep_production_truth" assert stale["safety_boundary"]["writes_runtime_state"] is False assert stale["internal_writeback"]["km_writeback_required"] is True failure = classify_deploy_control_plane_observation( run_status="failure", is_latest_deploy_intent=True, active_task_container_count=0, production_marker_hit=False, latest_flow_closed=False, runner_capacity_ok=True, runner_forbidden_label_count=0, ) assert failure["classification"] == "real_failure_requires_playbook_repair" assert failure["action"] == "open_cd_repair_playbook_with_target_selector_and_verifier" assert failure["safety_boundary"]["opens_legacy_runner"] is False assert failure["internal_writeback"]["playbook_route_required"] is True def test_ai_agent_autonomous_runtime_control_keeps_hard_blockers_and_redaction(): data = build_ai_agent_autonomous_runtime_control() assert "secret_token_private_key_cookie_session_auth_header_cleartext" in data["hard_blockers"] assert "drop_truncate_restore_prune_destructive_database_operation" in data["hard_blockers"] assert "force_push_delete_repo_refs_or_visibility_change" in data["hard_blockers"] visibility = data["visibility_contract"] assert visibility["work_window_transcript_display_allowed"] is False assert visibility["prompt_body_display_allowed"] is False assert visibility["internal_reasoning_display_allowed"] is False assert visibility["sensitive_value_display_allowed"] is False assert visibility["telegram_unredacted_payload_display_allowed"] is False def test_runtime_receipt_readback_summarizes_live_executor_closure_rows(): apply_op_id = "73b7a95c-3652-4c0d-bb4c-729e500acedb" incident_id = "INC-20260627-64472B" readback = build_runtime_receipt_readback_from_rows( project_id="awoooi", db_read_status="ok", operation_count_rows=[ { "operation_type": "ansible_candidate_matched", "status": "dry_run", "total": 1, "recent": 1, }, { "operation_type": "ansible_apply_executed", "status": "success", "total": 1, "recent": 1, }, { "operation_type": "ansible_check_mode_executed", "status": "success", "total": 1, "recent": 1, }, { "operation_type": "ansible_learning_writeback_recorded", "status": "success", "total": 1, "recent": 1, }, ], operation_latest_rows=[ { "op_id": "candidate-op", "parent_op_id": None, "operation_type": "ansible_candidate_matched", "status": "dry_run", "actor": "decision_manager", "incident_id": incident_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "execution_mode": "check_mode", }, { "op_id": "check-mode-op", "parent_op_id": "candidate-op", "operation_type": "ansible_check_mode_executed", "status": "success", "actor": "ansible_check_mode_worker", "incident_id": incident_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "execution_mode": "check_mode", "returncode": "0", }, { "op_id": apply_op_id, "parent_op_id": "check-mode-op", "operation_type": "ansible_apply_executed", "status": "success", "actor": "ansible_controlled_apply_worker", "incident_id": incident_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "execution_mode": "controlled_apply", "source_candidate_op_id": "candidate-op", "check_mode_op_id": "check-mode-op", "returncode": "0", "duration_ms": 7727, }, { "op_id": "learning-op", "parent_op_id": apply_op_id, "operation_type": "ansible_learning_writeback_recorded", "status": "success", "actor": "ansible_controlled_apply_worker", "incident_id": incident_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "execution_mode": "learning_writeback", "returncode": "0", }, ], auto_repair_count_rows=[ {"result_status": "success", "total": 1, "recent": 1}, ], auto_repair_latest_rows=[ { "id": "auto-repair-1", "incident_id": incident_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_name": "infra/ansible/playbooks/188-momo-backup-user.yml", "result_status": "success", "executed_steps_text": f'["apply:{apply_op_id}"]', "triggered_by": "ansible_controlled_apply", "risk_level": "low", "execution_time_ms": 7727, }, ], verifier_count_rows=[ {"verification_result": "success", "total": 1, "recent": 1}, ], verifier_latest_rows=[ { "id": "evidence-1", "incident_id": incident_id, "verification_result": "success", "apply_op_id": apply_op_id, "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "returncode": "0", }, ], km_count_rows=[ {"status": "review", "total": 1, "recent": 1}, ], km_latest_rows=[ { "id": "km-1", "title": "AI 自動修復沉澱：INC-20260627-64472B", "related_incident_id": incident_id, "related_playbook_id": "ansible:188-momo-backup-user", "path_type": "ansible_apply_receipt:73b7a95c", "status": "review", "created_by": "ai_agent_ansible_worker", }, ], telegram_count_rows=[ {"send_status": "sent", "total": 1, "recent": 1}, ], telegram_latest_rows=[ { "message_id": "telegram-row-1", "run_id": "telegram-run-1", "message_type": "final", "send_status": "sent", "provider_message_id": "12345", "incident_id": incident_id, "action": "controlled_apply_result", }, ], mcp_gateway_count_rows=[ {"status": "success", "total": 3, "recent": 1}, ], legacy_mcp_count_rows=[ {"status": "success", "total": 2, "recent": 2}, ], service_log_count_rows=[ {"status": "sanitized_recent_logs", "total": 2, "recent": 2}, ], executor_log_count_rows=[ {"status": "success", "total": 2, "recent": 1}, ], timeline_count_rows=[ {"status": "success", "total": 1, "recent": 1}, ], playbook_trust_count_rows=[ {"status": "learning_active", "total": 4, "recent": 1}, ], ) assert readback["db_read_status"] == "ok" assert readback["writes_on_read"] is False assert readback["ansible_apply_executed"]["total"] == 1 assert readback["auto_repair_execution_receipt"]["by_status"]["success"] == 1 assert readback["post_apply_verifier"]["by_status"]["success"] == 1 assert readback["km_writeback"]["by_status"]["review"] == 1 assert readback["telegram_receipt"]["by_status"]["sent"] == 1 assert readback["latest_flow_closure"] == { "apply_op_id": apply_op_id, "incident_id": incident_id, "has_post_apply_verifier": True, "has_km_writeback": True, "has_telegram_receipt": True, "closed": True, "missing": [], } assert readback["latest_failure_classification"]["classification"] == ( "latest_controlled_apply_closed_success" ) assert readback["controlled_retry_package"]["status"] == "not_required_for_latest_apply" ledger = readback["autonomous_execution_loop_ledger"] assert ledger["schema_version"] == "ai_agent_autonomous_execution_loop_ledger_v1" assert ledger["operation_id"] == apply_op_id assert ledger["root_candidate_op_id"] == "candidate-op" assert ledger["check_mode_op_id"] == "check-mode-op" assert ledger["apply_op_id"] == apply_op_id assert ledger["execution_state"] == "closed_success" assert ledger["closed"] is True assert ledger["missing_stage_ids"] == [] assert ledger["next_executor_action"] == "keep_receipt_chain_closed" assert [stage["stage_id"] for stage in ledger["stages"]] == [ "candidate", "check_mode", "controlled_apply", "auto_repair_execution_receipt", "post_apply_verifier", "km_playbook_writeback", "telegram_receipt", ] assert {stage["present"] for stage in ledger["stages"]} == {True} assert ledger["safety_contract"]["backfill_may_send_telegram"] is False assert ledger["safety_contract"]["live_apply_may_send_telegram_gateway_receipt"] is True trace = readback["trace_ledger"] assert trace["schema_version"] == "ai_agent_autonomous_trace_ledger_v1" trace_stage_ids = {stage["stage_id"] for stage in trace["stages"]} assert { "mcp_context", "service_log_evidence", "candidate", "check_mode", "executor_log_projection", "controlled_apply", "auto_repair_execution_receipt", "post_apply_verifier", "rag_km_learning", "playbook_trust", "timeline_projection", "telegram_receipt", } == trace_stage_ids assert trace["missing_required_stage_ids"] == [] assert trace["recorded_stage_count"] == trace["stage_count"] assert "rag_km_learning" in trace["learning_source_stage_ids"] assert "playbook_trust" in trace["learning_source_stage_ids"] assert trace["public_safety"] == { "reads_raw_sessions": False, "stores_secret_values": False, "stores_unredacted_telegram_payload": False, "stores_internal_reasoning": False, } assert readback["mcp_context"]["total"] == 5 assert readback["service_log_evidence"]["total"] == 2 assert readback["executor_log_projection"]["total"] == 2 assert readback["playbook_trust"]["by_status"]["learning_active"] == 4 taxonomy = readback["log_integration_taxonomy"] assert taxonomy["schema_version"] == "ai_agent_log_integration_taxonomy_v1" assert taxonomy["normalized_event_flow"] == [ "collect_source_log_or_receipt", "redact_and_hash_sensitive_fields", "assign_labels", "correlate_incident_operation_playbook", "write_trace_ledger", "retrieve_similar_context_via_rag", "select_or_repair_playbook", "run_check_mode_then_controlled_apply", "verify_and_write_learning_back", ] assert { "project", "product", "website", "service", "package", "tool", "incident", "operation", "playbook", }.issubset(set(taxonomy["label_dimensions"])) source_family_ids = {item["source_family_id"] for item in taxonomy["source_families"]} assert { "mcp_gateway_tool_calls", "legacy_mcp_tool_calls", "service_package_logs", "executor_operation_logs", "auto_repair_receipts", "post_apply_verifier", "rag_km_entries", "playbook_trust_signals", "operator_timeline_projection", "telegram_delivery_receipts", } == source_family_ids assert taxonomy["rollups"]["source_family_count"] == 10 assert taxonomy["rollups"]["active_source_family_count"] == 10 assert taxonomy["rollups"]["classified_event_total"] > 0 assert taxonomy["public_safety"]["raw_secret_collection_allowed"] is False assert taxonomy["public_safety"]["unredacted_payload_storage_allowed"] is False decision_wiring = readback["agent_decision_wiring"] assert decision_wiring["schema_version"] == "ai_agent_decision_wiring_readback_v1" assert decision_wiring["status"] == "completed" assert decision_wiring["missing_required_stage_ids"] == [] assert decision_wiring["closed_loop_observed"] is True assert { stage["stage_id"] for stage in decision_wiring["stages"] if stage["required_for_decision_wiring"] } == { "labeled_evidence_sources", "rag_context_retrieval", "playbook_candidate_selection", "check_mode_dry_run", "controlled_apply_boundary", "post_apply_verifier", } assert decision_wiring["rollups"]["candidate_total"] == 1 assert decision_wiring["rollups"]["check_mode_total"] == 1 assert decision_wiring["rollups"]["controlled_apply_total"] == 1 assert decision_wiring["rollups"]["required_stage_missing_count"] == 0 learning_loop = readback["learning_loop"] assert learning_loop["schema_version"] == "ai_agent_learning_loop_readback_v1" assert learning_loop["status"] == "completed" assert learning_loop["missing_required_stage_ids"] == [] assert { stage["stage_id"] for stage in learning_loop["stages"] if stage["required_for_learning_loop"] } == { "verified_execution_outcome", "km_learning_writeback", "learning_repair_record", "playbook_trust_delta", "similar_case_context", "repair_candidate_feedback", "next_decision_context", } assert learning_loop["rollups"]["required_stage_present_count"] == 7 assert learning_loop["rollups"]["required_stage_missing_count"] == 0 assert learning_loop["rollups"]["learning_writeback_total"] == 1 assert learning_loop["rollups"]["learning_writeback_recent"] == 1 assert learning_loop["rollups"]["similar_case_source_total"] > 0 assert learning_loop["rollups"]["repair_feedback_ready_count"] == 1 assert learning_loop["public_safety"]["stores_secret_values"] is False assert learning_loop["public_safety"]["executes_on_read"] is False progress = readback["work_item_progress"] assert progress["schema_version"] == "ai_agent_automation_work_item_progress_v1" ordered_ids = [item["work_item_id"] for item in progress["ordered_items"]] assert ordered_ids == [ "P0-A-runtime-truth", "P0-B-trace-ledger", "P0-C-log-taxonomy", "P0-D-ui-visibility", "P0-E-verification-deploy", "P1-A-ingestion-coverage", "P1-B-agent-decision-wiring", "P1-C-learning-loop", "P1-D-alert-noise-reduction", "P2-A-ui-ux-productization", "P2-B-multi-product-expansion", ] assert progress["ordered_items"][4]["status"] == "completed" assert progress["ordered_items"][5]["status"] == "completed" assert progress["ordered_items"][6]["status"] == "completed" assert progress["ordered_items"][7]["status"] == "completed" assert progress["ordered_items"][7]["remaining_learning_loop_stage_count"] == 0 assert progress["source_family_items"] assert {item["status"] for item in progress["source_family_items"]} == {"completed"} assert progress["rollups"]["source_family_work_item_count"] == 10 assert progress["rollups"]["pending_count"] >= 3 def test_runtime_receipt_readback_classifies_closed_failed_apply_as_ai_repair(): apply_op_id = "94925d5e-6fdc-49c3-90e8-f0a0d57a6a58" incident_id = "INC-20260628-A40A9A" readback = build_runtime_receipt_readback_from_rows( project_id="awoooi", db_read_status="ok", operation_count_rows=[ { "operation_type": "ansible_apply_executed", "status": "failed", "total": 1, "recent": 1, }, ], operation_latest_rows=[ { "op_id": "8b555f41-e81f-4d8e-956b-fb20d358db63", "parent_op_id": "candidate-op-2", "operation_type": "ansible_check_mode_executed", "status": "success", "actor": "ansible_check_mode_worker", "incident_id": incident_id, "catalog_id": "ansible:188-ai-web", "playbook_path": "infra/ansible/playbooks/188-ai-web-readonly.yml", "execution_mode": "check_mode", "returncode": "0", }, { "op_id": apply_op_id, "parent_op_id": "8b555f41-e81f-4d8e-956b-fb20d358db63", "operation_type": "ansible_apply_executed", "status": "failed", "actor": "ansible_controlled_apply_worker", "incident_id": incident_id, "catalog_id": "ansible:188-ai-web", "playbook_path": "infra/ansible/playbooks/188-ai-web.yml", "execution_mode": "controlled_apply", "source_candidate_op_id": "candidate-op-2", "check_mode_op_id": "8b555f41-e81f-4d8e-956b-fb20d358db63", "returncode": "2", "duration_ms": 4797, }, ], auto_repair_count_rows=[ {"result_status": "failed", "total": 1, "recent": 1}, ], auto_repair_latest_rows=[ { "id": "auto-repair-2", "incident_id": incident_id, "catalog_id": "ansible:188-ai-web", "playbook_name": "infra/ansible/playbooks/188-ai-web.yml", "result_status": "failed", "executed_steps_text": f'["apply:{apply_op_id}"]', "triggered_by": "ansible_controlled_apply", "risk_level": "medium", "execution_time_ms": 4797, }, ], verifier_count_rows=[ {"verification_result": "failed", "total": 1, "recent": 1}, ], verifier_latest_rows=[ { "id": "evidence-1", "incident_id": incident_id, "verification_result": "failed", "apply_op_id": apply_op_id, "catalog_id": "ansible:188-ai-web", "playbook_path": "infra/ansible/playbooks/188-ai-web.yml", "returncode": "2", }, ], km_count_rows=[ {"status": "REVIEW", "total": 1, "recent": 1}, ], km_latest_rows=[ { "id": "km-1", "title": "AI 自動修復沉澱：INC-20260628-A40A9A", "related_incident_id": incident_id, "related_playbook_id": "ansible:188-ai-web", "path_type": "ansible_apply_receipt:94925d5e", "status": "REVIEW", "created_by": "ai_agent_ansible_worker", }, ], telegram_count_rows=[ {"send_status": "sent", "total": 1, "recent": 1}, ], telegram_latest_rows=[ { "message_id": "telegram-row-1", "run_id": "telegram-run-1", "message_type": "final", "send_status": "sent", "provider_message_id": "32016", "incident_id": incident_id, "action": "controlled_apply_result", }, ], ) classification = readback["latest_failure_classification"] assert classification["classification"] == "closed_failed_apply_requires_ai_repair" assert classification["action"] == "queue_check_mode_replay_and_playbook_repair_candidate" assert classification["target_selector"] == { "incident_id": incident_id, "apply_op_id": apply_op_id, "parent_op_id": "8b555f41-e81f-4d8e-956b-fb20d358db63", "catalog_id": "ansible:188-ai-web", "playbook_path": "infra/ansible/playbooks/188-ai-web.yml", "execution_mode": "controlled_apply", } assert classification["evidence"]["returncode"] == "2" assert classification["evidence"]["verification_result"] == "failed" assert classification["evidence"]["latest_flow_closed"] is True assert classification["evidence"]["output_tail_in_readback"] is False assert classification["evidence"]["unredacted_output_required"] is False assert classification["safe_next_steps"] == [ "run_no_write_check_mode_replay", "extract_sanitized_failed_task_summary", "write_km_playbook_repair_candidate", "retry_controlled_apply_only_after_check_mode_passes", ] retry = readback["controlled_retry_package"] assert retry["package_id"] == "ansible_retry:94925d5e" assert retry["status"] == "ready_for_no_write_check_mode_replay" assert retry["source_of_truth"] == { "catalog_id": "ansible:188-ai-web", "playbook_path": "infra/ansible/playbooks/188-ai-web.yml", "source_diff_required_before_retry": True, "failed_task_summary_required": True, } assert retry["preflight"]["no_write_check_mode_replay_required"] is True assert retry["preflight"]["reuse_parent_check_mode_op_id"] == ( "8b555f41-e81f-4d8e-956b-fb20d358db63" ) assert retry["apply_gate"]["controlled_apply_retry_allowed_now"] is False assert retry["apply_gate"]["requires_check_mode_success_before_apply"] is True assert retry["rollback"]["destructive_rollback_allowed"] is False assert retry["post_apply"] == { "post_apply_verifier_required": True, "km_playbook_trust_writeback_required": True, "telegram_receipt_required": True, } assert retry["next_ai_action"] == "run_no_write_check_mode_replay" ledger = readback["autonomous_execution_loop_ledger"] assert ledger["closed"] is True assert ledger["execution_state"] == "closed_failed_apply_repair_ready" assert ledger["next_executor_action"] == "run_no_write_check_mode_replay" assert ledger["missing_stage_ids"] == [] assert ledger["stages"][3]["stage_id"] == "auto_repair_execution_receipt" assert ledger["stages"][3]["status"] == "failed" def test_runtime_execution_loop_ledger_does_not_mix_unrelated_check_mode_rows(): apply_op_id = "db3f12ce-08fc-4289-8c93-338305d5850c" readback = build_runtime_receipt_readback_from_rows( project_id="awoooi", db_read_status="ok", operation_latest_rows=[ { "op_id": "unrelated-check-mode-op", "parent_op_id": "unrelated-candidate", "operation_type": "ansible_check_mode_executed", "status": "success", "actor": "ansible_check_mode_worker", "incident_id": "INC-OTHER", "catalog_id": "ansible:110-devops", "playbook_path": "infra/ansible/playbooks/110-devops.yml", "execution_mode": "check_mode", "returncode": "0", }, { "op_id": apply_op_id, "parent_op_id": "expected-check-mode-op", "operation_type": "ansible_apply_executed", "status": "success", "actor": "ansible_controlled_apply_worker", "incident_id": "INC-20260629-LEDGER", "catalog_id": "ansible:188-momo-backup-user", "playbook_path": "infra/ansible/playbooks/188-momo-backup-user.yml", "execution_mode": "controlled_apply", "returncode": "0", }, ], ) ledger = readback["autonomous_execution_loop_ledger"] assert ledger["operation_id"] == apply_op_id assert ledger["check_mode_op_id"] == "expected-check-mode-op" assert ledger["root_candidate_op_id"] is None assert ledger["incident_id"] == "INC-20260629-LEDGER" assert ledger["stages"][1]["stage_id"] == "check_mode" assert ledger["stages"][1]["ref_id"] == "expected-check-mode-op" assert ledger["stages"][1]["status"] == "inferred_from_apply_parent" assert "candidate" in ledger["missing_stage_ids"]