Planner Autonomy: добавить reason-коды catalog-alignment

llm_normalizer/backend/dist/services/assistantMcpDiscoveryPlanner.js

@@ -40,6 +40,24 @@ function pushAllUnique(target, values) {
         pushUnique(target, value);
     }
 }
+function pushCatalogChainTemplateAlignmentReasons(target, alignment) {
+    if (alignment.top_chain_template_match) {
+        pushReason(target, "planner_catalog_chain_template_alignment_evaluated");
+        if (alignment.selected_chain_matches_top) {
+            pushReason(target, "planner_selected_chain_matches_catalog_top");
+        }
+        else if (alignment.selected_chain_in_catalog_matches) {
+            pushReason(target, "planner_selected_chain_uses_lower_rank_catalog_match");
+        }
+        else {
+            pushReason(target, "planner_selected_chain_outside_catalog_match_set");
+        }
+        return;
+    }
+    if (alignment.selected_chain_is_catalog_template) {
+        pushReason(target, "planner_catalog_chain_template_alignment_unscored");
+    }
+}
 const LIFECYCLE_BOUNDED_INFERENCE_REASON_CODES = [
     "planner_lifecycle_bounded_activity_window_template",
     "planner_lifecycle_legal_fact_boundary_required"
@@ -1000,6 +1018,7 @@ function planAssistantMcpDiscovery(input) {
     if (budgetOverride.maxProbeCount) {
         pushReason(reasonCodes, "planner_enabled_chunked_coverage_probe_budget");
     }
+    pushCatalogChainTemplateAlignmentReasons(reasonCodes, catalogChainTemplateAlignment);
     const plan = (0, assistantMcpDiscoveryPolicy_1.buildAssistantMcpDiscoveryPlan)({
         semanticDataNeed,
         turnMeaning: input.turnMeaning,

llm_normalizer/backend/src/services/assistantMcpDiscoveryPlanner.ts

@@ -142,6 +142,27 @@ function pushAllUnique(target: string[], values: string[]): void {
   }
 }
 
+function pushCatalogChainTemplateAlignmentReasons(
+  target: string[],
+  alignment: AssistantMcpDiscoveryCatalogChainTemplateAlignment
+): void {
+  if (alignment.top_chain_template_match) {
+    pushReason(target, "planner_catalog_chain_template_alignment_evaluated");
+    if (alignment.selected_chain_matches_top) {
+      pushReason(target, "planner_selected_chain_matches_catalog_top");
+    } else if (alignment.selected_chain_in_catalog_matches) {
+      pushReason(target, "planner_selected_chain_uses_lower_rank_catalog_match");
+    } else {
+      pushReason(target, "planner_selected_chain_outside_catalog_match_set");
+    }
+    return;
+  }
+
+  if (alignment.selected_chain_is_catalog_template) {
+    pushReason(target, "planner_catalog_chain_template_alignment_unscored");
+  }
+}
+
 const LIFECYCLE_BOUNDED_INFERENCE_REASON_CODES = [
   "planner_lifecycle_bounded_activity_window_template",
   "planner_lifecycle_legal_fact_boundary_required"
@@ -1255,6 +1276,7 @@ export function planAssistantMcpDiscovery(
   if (budgetOverride.maxProbeCount) {
     pushReason(reasonCodes, "planner_enabled_chunked_coverage_probe_budget");
   }
+  pushCatalogChainTemplateAlignmentReasons(reasonCodes, catalogChainTemplateAlignment);
 
   const plan = buildAssistantMcpDiscoveryPlan({
     semanticDataNeed,

llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts

@@ -61,6 +61,8 @@ describe("assistant MCP discovery planner", () => {
     expect(result.reason_codes).toContain("planner_selected_catalog_primitives_from_decomposition_candidates");
     expect(result.reason_codes).toContain("planner_scored_catalog_chain_templates_from_fact_axis");
     expect(result.reason_codes).toContain("planner_catalog_chain_template_search_top_value_flow");
+    expect(result.reason_codes).toContain("planner_catalog_chain_template_alignment_evaluated");
+    expect(result.reason_codes).toContain("planner_selected_chain_matches_catalog_top");
   });
 
   it("keeps representative graph-selected chains aligned with top catalog template matches", () => {
@@ -201,6 +203,7 @@ describe("assistant MCP discovery planner", () => {
       expect(result.catalog_chain_template_alignment.top_chain_template_match, item.name).toBe(item.expected);
       expect(result.catalog_chain_template_alignment.selected_chain_template_rank, item.name).toBe(1);
       expect(result.catalog_chain_template_alignment.selected_chain_matches_top, item.name).toBe(true);
+      expect(result.reason_codes, item.name).toContain("planner_selected_chain_matches_catalog_top");
     }
   });
 
@@ -217,6 +220,7 @@ describe("assistant MCP discovery planner", () => {
     expect(result.catalog_review.review_status).toBe("needs_more_axes");
     expect(result.catalog_review.missing_axes_by_primitive.query_movements).toContainEqual(["period", "counterparty"]);
     expect(result.reason_codes).toContain("planner_needs_more_user_or_scope_context");
+    expect(result.reason_codes).toContain("planner_catalog_chain_template_alignment_unscored");
   });
 
   it("keeps requested monthly aggregation as an explicit planning axis for value-flow discovery", () => {

llm_normalizer/backend/tests/assistantMcpDiscoveryRuntimeBridge.test.ts

@@ -149,6 +149,7 @@ describe("assistant MCP discovery runtime bridge", () => {
     expect(result.loop_state.provided_axes).toContain("aggregate_axis");
     expect(result.loop_state.catalog_chain_template_matches[0]).toBe("value_flow_ranking");
     expect(result.loop_state.catalog_chain_template_alignment.selected_chain_matches_top).toBe(true);
+    expect(result.reason_codes).toContain("planner_selected_chain_matches_catalog_top");
     expect(result.reason_codes).toContain("runtime_bridge_loop_state_awaiting_clarification");
   });