Уточнить subject-оси Autonomy Core 1С

llm_normalizer/backend/tests/assistantMcpDiscoveryDataNeedGraph.test.ts

@@ -336,6 +336,37 @@ describe("assistant MCP discovery data need graph", () => {
     ]);
     expect(result.reason_codes).toContain("data_need_graph_open_scope_total_without_subject");
   });
+
+  it("routes broad-overview one-sided incoming totals to value-flow instead of company overview", () => {
+    const result = buildAssistantMcpDiscoveryDataNeedGraph({
+      semanticDataNeed: "business overview evidence with bounded analyst interpretation",
+      rawUtterance:
+        "А всего сколько денег пришло в ООО Альтернатива Плюс за 2020, без топов и без контрагентов?",
+      turnMeaning: {
+        asked_domain_family: "business_overview",
+        asked_action_family: "broad_evaluation",
+        unsupported_but_understood_family: "broad_business_evaluation",
+        explicit_date_scope: "2020",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      }
+    });
+
+    expect(result.business_fact_family).toBe("value_flow");
+    expect(result.action_family).toBe("turnover");
+    expect(result.comparison_need).toBeNull();
+    expect(result.ranking_need).toBeNull();
+    expect(result.clarification_gaps).toEqual([]);
+    expect(result.decomposition_candidates).toEqual([
+      "collect_scoped_movements",
+      "aggregate_checked_amounts",
+      "probe_coverage"
+    ]);
+    expect(result.reason_codes).toContain("data_need_graph_open_scope_total_without_subject");
+    expect(result.reason_codes).toContain(
+      "data_need_graph_business_overview_one_sided_money_total_routed_to_value_flow"
+    );
+  });
+
   it("treats a generic incoming total as an understood open-scope ask that still needs organization", () => {
     const result = buildAssistantMcpDiscoveryDataNeedGraph({
       semanticDataNeed: "counterparty value-flow evidence",

llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts

@@ -157,6 +157,68 @@ describe("assistant MCP discovery planner", () => {
     expect(result.evidence_plan.evidence_axes.missing_axes).not.toContain("all_time_scope");
   });
 
+  it("uses graph subject candidates to satisfy the selected subject evidence axis", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: ["SVK"],
+        business_fact_family: "value_flow",
+        action_family: "net_value_flow",
+        aggregation_need: null,
+        time_scope_need: "explicit_period",
+        comparison_need: "incoming_vs_outgoing",
+        ranking_need: null,
+        proof_expectation: "coverage_checked_fact",
+        clarification_gaps: [],
+        decomposition_candidates: [],
+        forbidden_overclaim_flags: ["no_raw_model_claims"],
+        reason_codes: ["data_need_graph_built"]
+      },
+      turnMeaning: {
+        asked_action_family: "net_value_flow",
+        explicit_date_scope: "2020"
+      }
+    });
+
+    expect(result.selected_chain_id).toBe("value_flow_comparison");
+    expect(result.evidence_plan.evidence_axes.required_axes).toContain("counterparty");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("business_entity");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("counterparty");
+    expect(result.evidence_plan.evidence_axes.missing_axes).not.toContain("counterparty");
+  });
+
+  it("does not coerce inventory item subjects into counterparty evidence axes", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: ["Столешница 600"],
+        business_fact_family: "inventory_purchase_provenance",
+        action_family: "purchase_provenance",
+        aggregation_need: null,
+        time_scope_need: null,
+        comparison_need: null,
+        ranking_need: null,
+        proof_expectation: "coverage_checked_fact",
+        clarification_gaps: [],
+        decomposition_candidates: [],
+        forbidden_overclaim_flags: ["no_raw_model_claims"],
+        reason_codes: ["data_need_graph_built"]
+      },
+      turnMeaning: {
+        asked_action_family: "purchase_provenance"
+      }
+    });
+
+    expect(result.selected_chain_id).toBe("inventory_purchase_provenance");
+    expect(result.evidence_plan.evidence_axes.required_axes).toContain("item");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("business_entity");
+    expect(result.evidence_plan.evidence_axes.provided_axes).toContain("item");
+    expect(result.evidence_plan.evidence_axes.provided_axes).not.toContain("counterparty");
+    expect(result.evidence_plan.evidence_axes.missing_axes).not.toContain("item");
+  });
+
   it("keeps representative graph-selected chains aligned with top catalog template matches", () => {
     const graph = (
       businessFactFamily: string,