622 lines
25 KiB
TypeScript
622 lines
25 KiB
TypeScript
import { describe, expect, it, vi } from "vitest";
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import { runAssistantLivingChatRuntime } from "../src/services/assistantLivingChatRuntimeAdapter";
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function buildRuntimeInput(overrides: Record<string, unknown> = {}) {
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const executeLlmChat = vi.fn(async () => "llm-text");
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const resolveDataScopeProbe = vi.fn(async () => null);
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return {
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userMessage: "тест",
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sessionItems: [],
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modeDecision: { mode: "chat", reason: "living_chat_signal_detected" },
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sessionScope: {
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knownOrganizations: [],
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selectedOrganization: null,
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activeOrganization: null
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},
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addressRuntimeMeta: null,
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traceIdFactory: () => "chat-trace-fixed",
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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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mergeKnownOrganizations: (values: unknown[]) =>
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Array.from(
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new Set(
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(Array.isArray(values) ? values : [])
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.map((item) => (typeof item === "string" ? item.trim() : ""))
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.filter((item) => item.length > 0)
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)
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),
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hasAssistantDataScopeMetaQuestionSignal: () => false,
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shouldHandleAsAssistantCapabilityMetaQuery: () => false,
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hasDestructiveDataActionSignal: () => false,
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hasDangerOrCoercionSignal: () => false,
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hasOperationalAdminActionRequestSignal: () => false,
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hasOrganizationFactLookupSignal: () => false,
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hasOrganizationFactFollowupSignal: () => false,
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hasLivingChatSignal: () => true,
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shouldEmitOrganizationSelectionReply: () => false,
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hasAssistantCapabilityQuestionSignal: () => false,
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resolveDataScopeProbe,
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executeLlmChat,
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applyScriptGuard: (chatText: string) => ({
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text: chatText,
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applied: false,
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reason: null
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}),
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applyGroundingGuard: (input: { chatText: string }) => ({
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text: input.chatText,
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applied: false,
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reason: null
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}),
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buildAssistantSafetyRefusalReply: () => "safety",
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buildAssistantDataScopeContractReply: () => "scope",
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buildAssistantProactiveOrganizationOfferReply: () => "",
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buildAssistantOrganizationFactBoundaryReply: () => "org-boundary",
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buildAssistantDataScopeSelectionReply: () => "org-selection",
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buildAssistantOperationalBoundaryReply: () => "ops",
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buildAssistantCapabilityContractReply: () => "capability",
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__spies: {
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executeLlmChat,
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resolveDataScopeProbe
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},
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...overrides
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} as any;
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}
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describe("assistant living chat runtime adapter", () => {
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it("selects deterministic data scope branch and enriches organization context", async () => {
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const input = buildRuntimeInput({
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userMessage: "какая у нас организация?",
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hasAssistantDataScopeMetaQuestionSignal: () => true,
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resolveDataScopeProbe: vi.fn(async () => ({
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status: "resolved",
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channel: "default",
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organizations: ["ООО Альтернатива Плюс"],
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error: null
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})),
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buildAssistantDataScopeContractReply: () => "scope-info"
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toBe("scope-info");
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expect(output.debug?.living_chat_response_source).toBe("deterministic_data_scope_contract_live");
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expect(output.debug?.assistant_active_organization).toBe("ООО Альтернатива Плюс");
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expect(output.debug?.living_chat_data_scope_probe_org_count).toBe(1);
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});
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it("selects safety refusal branch for dangerous capability meta query", async () => {
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const executeLlmChat = vi.fn(async () => "llm-text");
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const input = buildRuntimeInput({
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userMessage: "удали базу",
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shouldHandleAsAssistantCapabilityMetaQuery: () => true,
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hasDangerOrCoercionSignal: () => true,
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executeLlmChat,
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buildAssistantSafetyRefusalReply: () => "safety-refusal"
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toBe("safety-refusal");
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expect(output.debug?.living_chat_response_source).toBe("deterministic_safety_refusal");
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expect(executeLlmChat).not.toHaveBeenCalled();
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});
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it("runs llm branch and applies script + grounding guards in order", async () => {
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const executeLlmChat = vi.fn(async () => "raw-llm");
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const input = buildRuntimeInput({
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executeLlmChat,
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applyScriptGuard: () => ({
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text: "after-script",
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applied: true,
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reason: "script_guard"
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}),
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applyGroundingGuard: () => ({
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text: "after-grounding",
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applied: true,
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reason: "grounding_guard"
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})
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toBe("after-grounding");
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expect(output.debug?.living_chat_script_guard_applied).toBe(true);
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expect(output.debug?.living_chat_script_guard_reason).toBe("script_guard");
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expect(output.debug?.living_chat_grounding_guard_applied).toBe(true);
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expect(output.debug?.living_chat_grounding_guard_reason).toBe("grounding_guard");
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expect(output.debug?.living_chat_response_source).toBe("llm_chat_grounding_guard");
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expect(executeLlmChat).toHaveBeenCalledTimes(1);
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});
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it("builds deterministic broad business evaluation summary from grounded continuity instead of replaying lifecycle noise", async () => {
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const executeLlmChat = vi.fn(async () => "raw-llm");
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const input = buildRuntimeInput({
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userMessage: "Как ты оценишь деятельность компании?",
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modeDecision: { mode: "chat", reason: "unsupported_current_turn_meaning_boundary" },
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sessionScope: {
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knownOrganizations: ["ООО Альтернатива Плюс"],
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selectedOrganization: null,
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activeOrganization: "ООО Альтернатива Плюс"
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},
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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: "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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addressRuntimeMeta: {
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toolGateReason: "unsupported_current_turn_meaning_boundary",
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orchestrationContract: {
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unsupported_current_turn_meaning_boundary: true,
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assistant_turn_meaning: {
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unsupported_but_understood_family: "broad_business_evaluation"
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}
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}
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},
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executeLlmChat
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText.toLowerCase()).toContain("оценка бизнеса");
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expect(output.chatText).toContain("ООО Альтернатива Плюс");
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expect(output.chatText).toContain("Группа СВК");
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expect(output.chatText).toContain("нетто");
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expect(output.chatText).toContain("Подтвержденные метрики");
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expect(output.chatText).toContain("Денежный поток");
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expect(output.chatText).toContain("маржу");
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expect(output.debug?.living_chat_response_source).toBe("deterministic_broad_business_evaluation_contract");
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expect(executeLlmChat).not.toHaveBeenCalled();
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});
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it("builds deterministic boundary for unsupported current-turn business meaning", async () => {
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const executeLlmChat = vi.fn(async () => "raw-llm");
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const input = buildRuntimeInput({
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userMessage:
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"\u043a\u0430\u043a\u043e\u0439 \u043e\u0431\u043e\u0440\u043e\u0442 \u0431\u044b\u043b \u0441\u0432\u043a",
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modeDecision: { mode: "chat", reason: "unsupported_current_turn_meaning_boundary" },
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addressRuntimeMeta: {
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toolGateReason: "unsupported_current_turn_meaning_boundary",
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orchestrationContract: {
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unsupported_current_turn_meaning_boundary: true,
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assistant_turn_meaning: {
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unsupported_but_understood_family: "counterparty_value_or_turnover",
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explicit_entity_candidates: [
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{
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type: "counterparty",
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value: "\u0441\u0432\u043a"
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}
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]
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}
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}
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},
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executeLlmChat
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toContain("\u043d\u0443\u0436\u0435\u043d \u043e\u0431\u043e\u0440\u043e\u0442");
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expect(output.chatText).toContain("\u00ab\u0441\u0432\u043a\u00bb");
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expect(output.chatText).toContain("\u043d\u0435 \u0431\u0443\u0434\u0443 \u043f\u043e\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c");
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expect(output.debug?.living_chat_response_source).toBe(
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"deterministic_unsupported_current_turn_boundary"
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);
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expect(executeLlmChat).not.toHaveBeenCalled();
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});
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it("replaces unsupported boundary with guarded MCP discovery response when policy allows it", async () => {
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const executeLlmChat = vi.fn(async () => "raw-llm");
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const input = buildRuntimeInput({
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userMessage: "how long has svk been active",
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modeDecision: { mode: "chat", reason: "unsupported_current_turn_meaning_boundary" },
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addressRuntimeMeta: {
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toolGateReason: "unsupported_current_turn_meaning_boundary",
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orchestrationContract: {
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unsupported_current_turn_meaning_boundary: true,
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assistant_turn_meaning: {
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unsupported_but_understood_family: "counterparty_lifecycle_or_age",
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explicit_entity_candidates: [
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{
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type: "counterparty",
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value: "SVK"
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}
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]
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}
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},
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mcpDiscoveryRuntimeEntryPoint: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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policy_owner: "assistantMcpDiscoveryRuntimeEntryPoint",
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entry_status: "bridge_executed",
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hot_runtime_wired: false,
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discovery_attempted: true,
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turn_input: { adapter_status: "ready" },
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bridge: {
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bridge_status: "answer_draft_ready",
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user_facing_response_allowed: true,
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business_fact_answer_allowed: true,
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requires_user_clarification: false,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference",
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headline: "Confirmed scoped answer.",
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confirmed_lines: ["Confirmed fact"],
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inference_lines: ["Bounded inference"],
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unknown_lines: ["Unconfirmed legal fact"],
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limitation_lines: ["Limited source window"],
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next_step_line: null
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}
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},
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reason_codes: ["runtime_entry_point_bridge_executed"]
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}
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},
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executeLlmChat
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toContain("Confirmed fact");
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expect(output.chatText).not.toContain("route");
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expect(output.chatText).not.toContain("query_documents");
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expect(output.debug?.living_chat_response_source).toBe("mcp_discovery_response_candidate_guarded");
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expect(output.debug?.mcp_discovery_response_applied).toBe(true);
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expect(output.debug?.mcp_discovery_entry_status).toBe("bridge_executed");
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expect(output.debug?.mcp_discovery_attempted).toBe(true);
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expect(executeLlmChat).not.toHaveBeenCalled();
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});
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it("replaces discovery-ready llm chat business answer with guarded MCP discovery response", async () => {
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const executeLlmChat = vi.fn(async () => "stale llm answer with old date");
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const input = buildRuntimeInput({
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userMessage: "how long has svk been active",
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modeDecision: { mode: "chat", reason: "non_domain_query_indexed" },
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addressRuntimeMeta: {
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mcpDiscoveryRuntimeEntryPoint: {
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schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
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policy_owner: "assistantMcpDiscoveryRuntimeEntryPoint",
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entry_status: "bridge_executed",
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hot_runtime_wired: false,
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discovery_attempted: true,
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turn_input: {
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adapter_status: "ready",
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should_run_discovery: true
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},
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bridge: {
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bridge_status: "answer_draft_ready",
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user_facing_response_allowed: true,
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business_fact_answer_allowed: true,
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requires_user_clarification: false,
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answer_draft: {
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answer_mode: "confirmed_with_bounded_inference",
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headline: "Confirmed scoped answer.",
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confirmed_lines: ["Confirmed fact"],
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inference_lines: ["Bounded inference"],
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unknown_lines: ["Unconfirmed legal fact"],
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limitation_lines: [],
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next_step_line: null
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}
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},
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reason_codes: ["runtime_entry_point_bridge_executed"]
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}
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},
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executeLlmChat
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toContain("Confirmed fact");
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expect(output.chatText).not.toContain("old date");
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expect(output.debug?.living_chat_response_source).toBe("mcp_discovery_response_candidate_guarded");
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expect(output.debug?.mcp_discovery_response_applied).toBe(true);
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expect(output.debug?.mcp_discovery_entry_status).toBe("bridge_executed");
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expect(executeLlmChat).toHaveBeenCalledTimes(1);
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});
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it("adds proactive organization offer on first smalltalk turn when multiple organizations are available", async () => {
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const resolveDataScopeProbe = vi.fn(async () => ({
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status: "resolved",
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channel: "default",
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organizations: ["ООО Альтернатива Плюс", "ООО Лайсвуд", "РАЙМ"],
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error: null
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}));
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const input = buildRuntimeInput({
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userMessage: "привет, как дела?",
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resolveDataScopeProbe,
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buildAssistantProactiveOrganizationOfferReply: (scopeProbe: Record<string, unknown> | null) => {
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const organizations = Array.isArray(scopeProbe?.organizations) ? scopeProbe.organizations.join(", ") : "";
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return `offer:${organizations}`;
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}
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toContain("Привет! Всё нормально.");
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expect(output.chatText).toContain("offer:ООО Альтернатива Плюс, ООО Лайсвуд, РАЙМ");
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expect(output.chatText).not.toContain("llm-text");
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expect(output.debug?.living_chat_response_source).toBe("deterministic_smalltalk_with_proactive_scope_offer");
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expect(output.debug?.living_chat_proactive_scope_offer_applied).toBe(true);
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expect(output.debug?.living_chat_data_scope_probe_org_count).toBe(3);
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expect(output.debug?.assistant_known_organizations).toEqual([
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"ООО Альтернатива Плюс",
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"ООО Лайсвуд",
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"РАЙМ"
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]);
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});
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it("does not add proactive organization offer after the session already has assistant context", async () => {
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const resolveDataScopeProbe = vi.fn(async () => ({
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status: "resolved",
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channel: "default",
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organizations: ["ООО Альтернатива Плюс", "ООО Лайсвуд"],
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error: null
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}));
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const input = buildRuntimeInput({
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userMessage: "привет еще раз",
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sessionItems: [{ role: "assistant", text: "Ранее уже отвечал." }],
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resolveDataScopeProbe,
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buildAssistantProactiveOrganizationOfferReply: () => "offer"
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toBe("llm-text");
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expect(output.debug?.living_chat_response_source).toBe("llm_chat");
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expect(output.debug?.living_chat_proactive_scope_offer_applied).toBe(false);
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expect(resolveDataScopeProbe).not.toHaveBeenCalled();
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});
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it("builds deterministic memory recap for prior selected-object address context", async () => {
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const executeLlmChat = vi.fn(async () => "raw-llm");
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const input = buildRuntimeInput({
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userMessage: "а ты помнишь мы зеркало обсуждали?",
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modeDecision: { mode: "chat", reason: "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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detected_intent: "inventory_purchase_provenance_for_item",
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extracted_filters: {
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item: "Зеркало для инвалидов поворотное травмобезопасное",
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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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executeLlmChat
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});
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const output = await runAssistantLivingChatRuntime(input);
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expect(output.handled).toBe(true);
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expect(output.chatText).toContain("Зеркало для инвалидов поворотное травмобезопасное");
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expect(output.chatText).toContain("кто поставлял");
|
||
expect(output.debug?.living_chat_response_source).toBe("deterministic_memory_recap_contract");
|
||
expect(executeLlmChat).not.toHaveBeenCalled();
|
||
});
|
||
|
||
it("builds deterministic memory recap for prior grounded MCP discovery counterparty context", async () => {
|
||
const executeLlmChat = vi.fn(async () => "raw-llm");
|
||
const input = buildRuntimeInput({
|
||
userMessage: "а ты помнишь, что мы выяснили по свк?",
|
||
modeDecision: { mode: "chat", reason: "memory_recap_followup_detected" },
|
||
sessionItems: [
|
||
{
|
||
role: "assistant",
|
||
debug: {
|
||
execution_lane: "living_chat",
|
||
mcp_discovery_response_applied: true,
|
||
assistant_mcp_discovery_entry_point_v1: {
|
||
schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
|
||
entry_status: "bridge_executed",
|
||
turn_input: {
|
||
turn_meaning_ref: {
|
||
explicit_entity_candidates: ["Группа СВК"],
|
||
explicit_organization_scope: "ООО Альтернатива Плюс",
|
||
explicit_date_scope: "2020"
|
||
}
|
||
},
|
||
bridge: {
|
||
bridge_status: "answer_draft_ready",
|
||
business_fact_answer_allowed: true,
|
||
answer_draft: {
|
||
answer_mode: "confirmed_with_bounded_inference"
|
||
},
|
||
pilot: {
|
||
pilot_scope: "counterparty_supplier_payout_query_movements_v1",
|
||
derived_value_flow: {
|
||
total_amount_human_ru: "43 763 351,53 руб."
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
],
|
||
executeLlmChat
|
||
});
|
||
|
||
const output = await runAssistantLivingChatRuntime(input);
|
||
|
||
expect(output.handled).toBe(true);
|
||
expect(output.chatText).toContain("Группа СВК");
|
||
expect(output.chatText).toContain("43 763 351,53 руб.");
|
||
expect(output.debug?.living_chat_response_source).toBe("deterministic_memory_recap_contract");
|
||
expect(executeLlmChat).not.toHaveBeenCalled();
|
||
});
|
||
|
||
it("uses continuity-backed active organization for organization-fact boundary even when session scope is empty", async () => {
|
||
const executeLlmChat = vi.fn(async () => "raw-llm");
|
||
const input = buildRuntimeInput({
|
||
userMessage: "сколько лет альтернативе плюс",
|
||
sessionItems: [
|
||
{
|
||
role: "assistant",
|
||
debug: {
|
||
execution_lane: "address_query",
|
||
answer_grounding_check: {
|
||
status: "grounded"
|
||
},
|
||
detected_intent: "receivables_confirmed_as_of_date",
|
||
extracted_filters: {
|
||
organization: "ООО Альтернатива Плюс",
|
||
as_of_date: "2020-03-31"
|
||
}
|
||
}
|
||
}
|
||
],
|
||
hasOrganizationFactLookupSignal: () => true,
|
||
buildAssistantOrganizationFactBoundaryReply: (organization: string | null) => `org-boundary:${organization ?? "none"}`,
|
||
executeLlmChat
|
||
});
|
||
|
||
const output = await runAssistantLivingChatRuntime(input);
|
||
|
||
expect(output.handled).toBe(true);
|
||
expect(output.chatText).toBe("org-boundary:ООО Альтернатива Плюс");
|
||
expect(output.debug?.living_chat_response_source).toBe("deterministic_organization_fact_boundary");
|
||
expect(output.debug?.assistant_active_organization).toBe("ООО Альтернатива Плюс");
|
||
expect(output.debug?.living_chat_continuity_grounded_context_detected).toBe(true);
|
||
expect(output.debug?.living_chat_continuity_active_organization).toBe("ООО Альтернатива Плюс");
|
||
expect(executeLlmChat).not.toHaveBeenCalled();
|
||
});
|
||
|
||
it("builds deterministic answer inspection reply over grounded selected-object sale trace", async () => {
|
||
const executeLlmChat = vi.fn(async () => "raw-llm");
|
||
const input = buildRuntimeInput({
|
||
userMessage: "у тебя написано кто контрагент: рабочая станция - это ошибка?",
|
||
modeDecision: { mode: "chat", reason: "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 универсального специалиста",
|
||
organization: "ООО Альтернатива Плюс",
|
||
as_of_date: "2016-03-31"
|
||
}
|
||
}
|
||
}
|
||
],
|
||
executeLlmChat
|
||
});
|
||
|
||
const output = await runAssistantLivingChatRuntime(input);
|
||
|
||
expect(output.handled).toBe(true);
|
||
expect(output.chatText).toContain("Рабочая станция универсального специалиста");
|
||
expect(output.debug?.living_chat_response_source).toBe("deterministic_answer_inspection_contract");
|
||
expect(executeLlmChat).not.toHaveBeenCalled();
|
||
});
|
||
|
||
it("builds deterministic answer inspection reply over grounded MCP discovery net answer", async () => {
|
||
const executeLlmChat = vi.fn(async () => "raw-llm");
|
||
const input = buildRuntimeInput({
|
||
userMessage: "что ты имел в виду под нетто по свк?",
|
||
modeDecision: { mode: "chat", reason: "answer_inspection_followup_detected" },
|
||
sessionItems: [
|
||
{
|
||
role: "assistant",
|
||
debug: {
|
||
execution_lane: "living_chat",
|
||
mcp_discovery_response_applied: true,
|
||
assistant_mcp_discovery_entry_point_v1: {
|
||
schema_version: "assistant_mcp_discovery_runtime_entry_point_v1",
|
||
entry_status: "bridge_executed",
|
||
turn_input: {
|
||
turn_meaning_ref: {
|
||
explicit_entity_candidates: ["Группа СВК"],
|
||
explicit_date_scope: "2020"
|
||
}
|
||
},
|
||
bridge: {
|
||
bridge_status: "answer_draft_ready",
|
||
business_fact_answer_allowed: true,
|
||
answer_draft: {
|
||
answer_mode: "confirmed_with_bounded_inference"
|
||
},
|
||
pilot: {
|
||
pilot_scope: "counterparty_bidirectional_value_flow_query_movements_v1"
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
],
|
||
executeLlmChat
|
||
});
|
||
|
||
const output = await runAssistantLivingChatRuntime(input);
|
||
|
||
expect(output.handled).toBe(true);
|
||
expect(output.chatText).toContain("Группа СВК");
|
||
expect(output.chatText).toContain("Нетто");
|
||
expect(output.debug?.living_chat_response_source).toBe("deterministic_answer_inspection_contract");
|
||
expect(executeLlmChat).not.toHaveBeenCalled();
|
||
});
|
||
});
|