NODEDC_1C/llm_normalizer/backend/tests/assistantMemoryRecapPolicy.test.ts

import { describe, expect, it } from "vitest";
import {
  buildAddressMemoryRecapReply,
  buildSelectedObjectAnswerInspectionReply,
  createAssistantMemoryRecapPolicy,
  resolveAssistantLivingChatMemoryContext
} from "../src/services/assistantMemoryRecapPolicy";

const policy = createAssistantMemoryRecapPolicy({
  hasHistoricalCapabilityFollowupSignal: (text: unknown) =>
    /историческ|архив|раньше/i.test(String(text ?? "")),
  hasConversationMemoryRecallFollowupSignal: (text: unknown) =>
    /помнишь|remember/i.test(String(text ?? "")),
  isGroundedInventoryContextDebug: (debug: unknown) =>
    String((debug as Record<string, unknown> | null)?.detected_intent ?? "") === "inventory_on_hand_as_of_date"
});

describe("assistantMemoryRecapPolicy", () => {
  it("detects contextual historical capability follow-up", () => {
    const signals = policy.resolveRouteMemorySignals({
      rawUserMessage: "а исторические остатки тоже можешь?",
      repairedRawUserMessage: "",
      effectiveAddressUserMessage: "",
      repairedEffectiveAddressUserMessage: "",
      dataScopeMetaQuery: false,
      capabilityMetaQuery: true,
      dataRetrievalSignal: false,
      strongDataSignal: false,
      aggregateBusinessAnalyticsSignal: false,
      lastGroundedAddressDebug: {
        detected_intent: "inventory_on_hand_as_of_date"
      },
      hasPriorAddressDebug: true
    });

    expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(true);
    expect(signals.contextualMemoryRecapFollowupDetected).toBe(false);
  });

  it("detects contextual memory recap over prior address debug", () => {
    const signals = policy.resolveRouteMemorySignals({
      rawUserMessage: "а ты помнишь что мы обсуждали?",
      repairedRawUserMessage: "",
      effectiveAddressUserMessage: "",
      repairedEffectiveAddressUserMessage: "",
      dataScopeMetaQuery: false,
      capabilityMetaQuery: false,
      dataRetrievalSignal: false,
      strongDataSignal: false,
      aggregateBusinessAnalyticsSignal: false,
      lastGroundedAddressDebug: null,
      hasPriorAddressDebug: true,
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "list_documents_by_counterparty"
          }
        }
      ]
    });

    expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(false);
    expect(signals.contextualMemoryRecapFollowupDetected).toBe(true);
  });

  it("treats explicit recap wording over selected-object phrasing as memory follow-up even when data cues are present", () => {
    const signals = policy.resolveRouteMemorySignals({
      rawUserMessage: "а ты помнишь, что мы по этой позиции уже выяснили?",
      repairedRawUserMessage: "",
      effectiveAddressUserMessage: "",
      repairedEffectiveAddressUserMessage: "",
      dataScopeMetaQuery: false,
      capabilityMetaQuery: false,
      dataRetrievalSignal: true,
      strongDataSignal: true,
      aggregateBusinessAnalyticsSignal: false,
      lastGroundedAddressDebug: null,
      hasPriorAddressDebug: true,
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_purchase_provenance_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        }
      ]
    });

    expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(false);
    expect(signals.contextualMemoryRecapFollowupDetected).toBe(true);
  });

  it("does not trigger recap from ungrounded address history", () => {
    const signals = policy.resolveRouteMemorySignals({
      rawUserMessage: "а ты помнишь что мы обсуждали?",
      repairedRawUserMessage: "",
      effectiveAddressUserMessage: "",
      repairedEffectiveAddressUserMessage: "",
      dataScopeMetaQuery: false,
      capabilityMetaQuery: false,
      dataRetrievalSignal: false,
      strongDataSignal: false,
      aggregateBusinessAnalyticsSignal: false,
      lastGroundedAddressDebug: null,
      hasPriorAddressDebug: true,
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            detected_intent: "inventory_purchase_documents_for_item",
            extracted_filters: {
              item: "Рабочая станция"
            }
          }
        }
      ]
    });

    expect(signals.contextualMemoryRecapFollowupDetected).toBe(false);
  });

  it("builds deterministic recap summary from recent selected-object facts", () => {
    const context = resolveAssistantLivingChatMemoryContext({
      modeDecisionReason: "memory_recap_followup_detected",
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            anchor_type: "item",
            anchor_value_resolved: "Рабочая станция",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        },
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_purchase_provenance_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        },
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_purchase_documents_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        }
      ]
    });

    const reply = buildAddressMemoryRecapReply({
      organization: null,
      addressDebug: context.lastMemoryAddressDebug,
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_on_hand_as_of_date",
            extracted_filters: {
              organization: "ООО Альтернатива Плюс",
              as_of_date: "2022-02-28"
            }
          }
        },
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_purchase_provenance_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        },
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_purchase_documents_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              as_of_date: "2022-02-28"
            }
          }
        }
      ],
      toNonEmptyString: (value: unknown) => {
        const text = String(value ?? "").trim();
        return text.length > 0 ? text : null;
      }
    });

    expect(context.contextualMemoryRecapFollowup).toBe(true);
    expect(reply).toContain("Рабочая станция");
    expect(reply).toContain("мы уже выяснили");
    expect(reply).toContain("разобрали, кто поставлял");
    expect(reply).toContain("подняли документы закупки");
  });

  it("resolves grounded answer inspection from shared memory context", () => {
    const context = resolveAssistantLivingChatMemoryContext({
      modeDecisionReason: "answer_inspection_followup_detected",
      sessionItems: [
        {
          role: "assistant",
          debug: {
            execution_lane: "address_query",
            answer_grounding_check: {
              status: "grounded"
            },
            detected_intent: "inventory_sale_trace_for_item",
            extracted_filters: {
              item: "Рабочая станция",
              organization: "ООО Альтернатива Плюс",
              as_of_date: "2016-03-31"
            }
          }
        }
      ]
    });

    const reply = buildSelectedObjectAnswerInspectionReply({
      addressDebug: context.lastAnswerInspectionAddressDebug,
      toNonEmptyString: (value: unknown) => {
        const text = String(value ?? "").trim();
        return text.length > 0 ? text : null;
      }
    });

    expect(context.contextualAnswerInspectionFollowup).toBe(true);
    expect(reply).toContain("не контрагент");
    expect(reply).toContain("Рабочая станция");
    expect(reply).toContain("Покупатель");
  });
});