506 lines
17 KiB
TypeScript
506 lines
17 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import {
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buildAddressMemoryRecapReply,
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buildBroadBusinessEvaluationReply,
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buildSelectedObjectAnswerInspectionReply,
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createAssistantMemoryRecapPolicy,
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resolveAssistantLivingChatMemoryContext
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} from "../src/services/assistantMemoryRecapPolicy";
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const policy = createAssistantMemoryRecapPolicy({
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hasHistoricalCapabilityFollowupSignal: (text: unknown) =>
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/историческ|архив|раньше/i.test(String(text ?? "")),
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hasConversationMemoryRecallFollowupSignal: (text: unknown) =>
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/помнишь|remember/i.test(String(text ?? "")),
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isGroundedInventoryContextDebug: (debug: unknown) =>
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String((debug as Record<string, unknown> | null)?.detected_intent ?? "") === "inventory_on_hand_as_of_date"
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});
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describe("assistantMemoryRecapPolicy", () => {
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it("detects contextual historical capability follow-up", () => {
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const signals = policy.resolveRouteMemorySignals({
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rawUserMessage: "а исторические остатки тоже можешь?",
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repairedRawUserMessage: "",
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effectiveAddressUserMessage: "",
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repairedEffectiveAddressUserMessage: "",
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dataScopeMetaQuery: false,
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capabilityMetaQuery: true,
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dataRetrievalSignal: false,
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strongDataSignal: false,
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aggregateBusinessAnalyticsSignal: false,
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lastGroundedAddressDebug: {
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detected_intent: "inventory_on_hand_as_of_date"
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},
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hasPriorAddressDebug: true
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});
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expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(true);
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expect(signals.contextualMemoryRecapFollowupDetected).toBe(false);
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});
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it("detects contextual memory recap over prior address debug", () => {
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const signals = policy.resolveRouteMemorySignals({
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rawUserMessage: "а ты помнишь что мы обсуждали?",
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repairedRawUserMessage: "",
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effectiveAddressUserMessage: "",
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repairedEffectiveAddressUserMessage: "",
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dataScopeMetaQuery: false,
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capabilityMetaQuery: false,
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dataRetrievalSignal: false,
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strongDataSignal: false,
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aggregateBusinessAnalyticsSignal: false,
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lastGroundedAddressDebug: null,
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hasPriorAddressDebug: true,
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "list_documents_by_counterparty"
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}
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}
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]
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});
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expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(false);
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expect(signals.contextualMemoryRecapFollowupDetected).toBe(true);
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});
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it("treats explicit recap wording over selected-object phrasing as memory follow-up even when data cues are present", () => {
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const signals = policy.resolveRouteMemorySignals({
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rawUserMessage: "а ты помнишь, что мы по этой позиции уже выяснили?",
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repairedRawUserMessage: "",
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effectiveAddressUserMessage: "",
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repairedEffectiveAddressUserMessage: "",
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dataScopeMetaQuery: false,
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capabilityMetaQuery: false,
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dataRetrievalSignal: true,
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strongDataSignal: true,
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aggregateBusinessAnalyticsSignal: false,
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lastGroundedAddressDebug: null,
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hasPriorAddressDebug: true,
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_purchase_provenance_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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}
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]
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});
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expect(signals.contextualHistoricalCapabilityFollowupDetected).toBe(false);
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expect(signals.contextualMemoryRecapFollowupDetected).toBe(true);
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});
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it("does not trigger recap from ungrounded address history", () => {
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const signals = policy.resolveRouteMemorySignals({
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rawUserMessage: "а ты помнишь что мы обсуждали?",
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repairedRawUserMessage: "",
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effectiveAddressUserMessage: "",
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repairedEffectiveAddressUserMessage: "",
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dataScopeMetaQuery: false,
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capabilityMetaQuery: false,
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dataRetrievalSignal: false,
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strongDataSignal: false,
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aggregateBusinessAnalyticsSignal: false,
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lastGroundedAddressDebug: null,
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hasPriorAddressDebug: true,
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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detected_intent: "inventory_purchase_documents_for_item",
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extracted_filters: {
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item: "Рабочая станция"
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}
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}
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}
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]
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});
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expect(signals.contextualMemoryRecapFollowupDetected).toBe(false);
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});
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it("detects contextual memory recap over prior grounded MCP discovery answer", () => {
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const signals = policy.resolveRouteMemorySignals({
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rawUserMessage: "а ты помнишь, что мы уже выяснили по свк?",
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repairedRawUserMessage: "",
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effectiveAddressUserMessage: "",
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repairedEffectiveAddressUserMessage: "",
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dataScopeMetaQuery: false,
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capabilityMetaQuery: false,
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dataRetrievalSignal: false,
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strongDataSignal: false,
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aggregateBusinessAnalyticsSignal: false,
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lastGroundedAddressDebug: null,
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hasPriorAddressDebug: true,
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "living_chat",
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mcp_discovery_response_applied: true,
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assistant_mcp_discovery_entry_point_v1: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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entry_status: "bridge_executed",
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turn_input: {
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turn_meaning_ref: {
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explicit_entity_candidates: ["Группа СВК"],
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explicit_date_scope: "2020"
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}
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},
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bridge: {
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bridge_status: "answer_draft_ready",
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business_fact_answer_allowed: true,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference"
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}
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}
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}
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}
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}
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]
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});
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expect(signals.contextualMemoryRecapFollowupDetected).toBe(true);
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});
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it("builds deterministic recap summary from recent selected-object facts", () => {
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const context = resolveAssistantLivingChatMemoryContext({
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modeDecisionReason: "memory_recap_followup_detected",
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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anchor_type: "item",
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anchor_value_resolved: "Рабочая станция",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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},
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_purchase_provenance_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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},
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_purchase_documents_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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}
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]
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});
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const reply = buildAddressMemoryRecapReply({
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organization: null,
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addressDebug: context.lastMemoryAddressDebug,
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_on_hand_as_of_date",
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extracted_filters: {
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organization: "ООО Альтернатива Плюс",
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as_of_date: "2022-02-28"
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}
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}
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},
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_purchase_provenance_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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},
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_purchase_documents_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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as_of_date: "2022-02-28"
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}
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}
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}
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],
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toNonEmptyString: (value: unknown) => {
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const text = String(value ?? "").trim();
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return text.length > 0 ? text : null;
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}
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});
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expect(context.contextualMemoryRecapFollowup).toBe(true);
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expect(reply).toContain("Рабочая станция");
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expect(reply).toContain("мы уже выяснили");
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expect(reply).toContain("разобрали, кто поставлял");
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expect(reply).toContain("подняли документы закупки");
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});
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it("resolves grounded answer inspection from shared memory context", () => {
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const context = resolveAssistantLivingChatMemoryContext({
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modeDecisionReason: "answer_inspection_followup_detected",
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "inventory_sale_trace_for_item",
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extracted_filters: {
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item: "Рабочая станция",
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organization: "ООО Альтернатива Плюс",
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as_of_date: "2016-03-31"
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}
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}
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}
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]
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});
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const reply = buildSelectedObjectAnswerInspectionReply({
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addressDebug: context.lastAnswerInspectionAddressDebug,
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toNonEmptyString: (value: unknown) => {
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const text = String(value ?? "").trim();
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return text.length > 0 ? text : null;
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}
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});
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expect(context.contextualAnswerInspectionFollowup).toBe(true);
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expect(reply).toContain("не контрагент");
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expect(reply).toContain("Рабочая станция");
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expect(reply).toContain("Покупатель");
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});
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it("builds deterministic recap summary from grounded MCP discovery counterparty context", () => {
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const sessionItems = [
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{
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role: "assistant",
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debug: {
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execution_lane: "living_chat",
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mcp_discovery_response_applied: true,
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assistant_mcp_discovery_entry_point_v1: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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entry_status: "bridge_executed",
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turn_input: {
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turn_meaning_ref: {
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explicit_entity_candidates: ["Группа СВК"],
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explicit_organization_scope: "ООО Альтернатива Плюс",
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explicit_date_scope: "2020"
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}
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},
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bridge: {
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bridge_status: "answer_draft_ready",
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business_fact_answer_allowed: true,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference"
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},
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pilot: {
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pilot_scope: "counterparty_bidirectional_value_flow_query_movements_v1",
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derived_bidirectional_value_flow: {
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net_amount_human_ru: "3 865 501,50 руб.",
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incoming_customer_revenue: {
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total_amount_human_ru: "47 628 853,03 руб."
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},
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outgoing_supplier_payout: {
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total_amount_human_ru: "43 763 351,53 руб."
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}
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}
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}
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}
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}
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}
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}
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];
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const context = resolveAssistantLivingChatMemoryContext({
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modeDecisionReason: "memory_recap_followup_detected",
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sessionItems
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});
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const reply = buildAddressMemoryRecapReply({
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organization: null,
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addressDebug: context.lastMemoryAddressDebug,
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sessionItems,
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toNonEmptyString: (value: unknown) => {
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const text = String(value ?? "").trim();
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return text.length > 0 ? text : null;
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}
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});
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expect(context.contextualMemoryRecapFollowup).toBe(true);
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expect(reply).toContain("Группа СВК");
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expect(reply).toContain("нетто");
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expect(reply).toContain("47 628 853,03 руб.");
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expect(reply).toContain("43 763 351,53 руб.");
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});
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it("builds deterministic broad business evaluation summary from recent grounded organization facts", () => {
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const sessionItems = [
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{
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role: "assistant",
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debug: {
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execution_lane: "address_query",
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answer_grounding_check: {
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status: "grounded"
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},
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detected_intent: "counterparty_activity_lifecycle",
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extracted_filters: {
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organization: "ООО Альтернатива Плюс"
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}
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}
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},
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{
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role: "assistant",
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debug: {
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execution_lane: "living_chat",
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mcp_discovery_response_applied: true,
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assistant_mcp_discovery_entry_point_v1: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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entry_status: "bridge_executed",
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turn_input: {
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turn_meaning_ref: {
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explicit_entity_candidates: ["Группа СВК"],
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explicit_organization_scope: "ООО Альтернатива Плюс",
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explicit_date_scope: "2020"
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}
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},
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bridge: {
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bridge_status: "answer_draft_ready",
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business_fact_answer_allowed: true,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference"
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},
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pilot: {
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pilot_scope: "counterparty_bidirectional_value_flow_query_movements_v1",
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derived_bidirectional_value_flow: {
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net_amount_human_ru: "3 865 501,50 руб.",
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incoming_customer_revenue: {
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total_amount_human_ru: "47 628 853,03 руб."
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},
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outgoing_supplier_payout: {
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total_amount_human_ru: "43 763 351,53 руб."
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}
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}
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}
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}
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}
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}
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}
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];
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const reply = buildBroadBusinessEvaluationReply({
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organization: "ООО Альтернатива Плюс",
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addressDebug: sessionItems[1].debug as any,
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sessionItems,
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toNonEmptyString: (value: unknown) => {
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const text = String(value ?? "").trim();
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return text.length > 0 ? text : null;
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}
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});
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expect(reply.toLowerCase()).toContain("оценка бизнеса");
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expect(reply).toContain("ООО Альтернатива Плюс");
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expect(reply).toContain("47 628 853,03");
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});
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it("builds grounded answer inspection reply for MCP discovery net answer", () => {
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const context = resolveAssistantLivingChatMemoryContext({
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modeDecisionReason: "answer_inspection_followup_detected",
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sessionItems: [
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{
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role: "assistant",
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debug: {
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execution_lane: "living_chat",
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mcp_discovery_response_applied: true,
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assistant_mcp_discovery_entry_point_v1: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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entry_status: "bridge_executed",
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turn_input: {
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turn_meaning_ref: {
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explicit_entity_candidates: ["Группа СВК"],
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explicit_date_scope: "2020"
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}
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},
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bridge: {
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bridge_status: "answer_draft_ready",
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business_fact_answer_allowed: true,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference"
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},
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pilot: {
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pilot_scope: "counterparty_bidirectional_value_flow_query_movements_v1"
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}
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}
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}
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}
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}
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]
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});
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const reply = buildSelectedObjectAnswerInspectionReply({
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addressDebug: context.lastAnswerInspectionAddressDebug,
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toNonEmptyString: (value: unknown) => {
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const text = String(value ?? "").trim();
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return text.length > 0 ? text : null;
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}
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});
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expect(context.contextualAnswerInspectionFollowup).toBe(true);
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expect(reply).toContain("Группа СВК");
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expect(reply).toContain("Нетто");
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expect(reply).toContain("проверенному периоду");
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});
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});
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