609 lines
25 KiB
TypeScript
609 lines
25 KiB
TypeScript
import { describe, expect, it, vi } from "vitest";
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import { planAssistantMcpDiscovery } from "../src/services/assistantMcpDiscoveryPlanner";
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import { executeAssistantMcpDiscoveryPilot } from "../src/services/assistantMcpDiscoveryPilotExecutor";
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function buildDeps(rows: Array<Record<string, unknown>>, error: string | null = null) {
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return {
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executeAddressMcpQuery: vi.fn(async () => ({
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fetched_rows: rows.length,
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matched_rows: error ? 0 : rows.length,
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raw_rows: rows,
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rows: error ? [] : rows,
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error
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}))
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};
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}
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function buildSequentialDeps(results: Array<{ rows: Array<Record<string, unknown>>; error?: string | null }>) {
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const executeAddressMcpQuery = vi.fn(async () => {
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const next = results.shift() ?? { rows: [] };
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const rows = next.rows;
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const error = next.error ?? null;
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return {
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fetched_rows: rows.length,
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matched_rows: error ? 0 : rows.length,
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raw_rows: rows,
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rows: error ? [] : rows,
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error
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};
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});
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return { executeAddressMcpQuery };
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}
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function buildMetadataDeps(rows: Array<Record<string, unknown>>, error: string | null = null) {
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return {
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executeAddressMcpMetadata: vi.fn(async () => ({
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fetched_rows: error ? 0 : rows.length,
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raw_rows: error ? [] : rows,
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rows: error ? [] : rows,
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error
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}))
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};
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}
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describe("assistant MCP discovery pilot executor", () => {
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it("executes only the lifecycle query_documents primitive through injected MCP deps", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_lifecycle",
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asked_action_family: "activity_duration",
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explicit_entity_candidates: ["SVK"]
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}
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});
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const deps = buildDeps([
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{ Период: "2020-01-15T00:00:00", Регистратор: "CP_CUSTOMER_ACTIVITY_FIRST", Контрагент: "SVK" },
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{ Период: "2023-12-20T00:00:00", Регистратор: "CP_CUSTOMER_ACTIVITY", Контрагент: "SVK" }
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.mcp_execution_performed).toBe(true);
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expect(result.executed_primitives).toEqual(["query_documents"]);
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expect(result.skipped_primitives).toEqual(["resolve_entity_reference", "probe_coverage", "explain_evidence_basis"]);
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expect(result.evidence.evidence_status).toBe("confirmed");
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expect(result.evidence.confirmed_facts[0]).toContain("SVK");
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expect(result.evidence.inferred_facts[0]).toContain("may be inferred");
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expect(result.evidence.unknown_facts).toContain("Legal registration date is not proven by this MCP discovery pilot");
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expect(result.source_rows_summary).toBe("2 MCP document rows fetched, 2 matched lifecycle scope");
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expect(result.derived_activity_period).toEqual({
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first_activity_date: "2020-01-15",
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latest_activity_date: "2023-12-20",
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matched_rows: 2,
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duration_total_months: 47,
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duration_years: 3,
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duration_months_remainder: 11,
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duration_human_ru: "3 года 11 месяцев",
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inference_basis: "first_and_latest_confirmed_1c_activity_rows"
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});
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expect(result.reason_codes).toContain("pilot_query_documents_mcp_executed");
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expect(result.reason_codes).toContain("pilot_derived_activity_period_from_confirmed_rows");
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expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(1);
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const call = deps.executeAddressMcpQuery.mock.calls[0]?.[0];
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expect(String(call?.query ?? "")).toContain("Документ.ПоступлениеНаРасчетныйСчет");
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expect(call?.limit).toBeGreaterThan(0);
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});
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it("does not execute MCP when dry-run still needs clarification", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "turnover",
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explicit_entity_candidates: ["SVK"]
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}
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});
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const deps = buildDeps([]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("skipped_needs_clarification");
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expect(result.mcp_execution_performed).toBe(false);
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expect(result.evidence.evidence_status).toBe("insufficient");
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expect(deps.executeAddressMcpQuery).not.toHaveBeenCalled();
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});
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it("executes generic document evidence through query_documents", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "documents",
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asked_action_family: "list_documents",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020",
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unsupported_but_understood_family: "document_evidence"
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}
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});
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const deps = buildDeps([
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{ Period: "2020-01-15T00:00:00", Counterparty: "SVK", Registrar: "Doc1" },
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{ Period: "2020-03-20T00:00:00", Counterparty: "SVK", Registrar: "Doc2" }
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.pilot_scope).toBe("counterparty_document_evidence_query_documents_v1");
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expect(result.executed_primitives).toEqual(["query_documents"]);
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expect(result.evidence.confirmed_facts).toContain("1C document rows were found for counterparty SVK");
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expect(result.evidence.inferred_facts).toContain(
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"Counterparty document evidence is limited to confirmed 1C document rows in the checked scope"
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);
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expect(result.evidence.unknown_facts).toContain(
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"Full document history outside the checked period is not proven by this MCP discovery pilot"
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);
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expect(result.source_rows_summary).toBe("2 MCP document rows fetched, 2 matched document scope");
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});
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it("executes inspect_1c_metadata and derives a confirmed metadata surface", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "metadata",
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asked_action_family: "inspect_documents",
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explicit_entity_candidates: ["НДС"]
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}
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});
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const deps = buildMetadataDeps([
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{
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FullName: "Документ.СчетФактураВыданный",
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MetaType: "Документ",
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attributes: [{ Name: "Дата" }, { Name: "Организация" }]
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},
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{
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FullName: "Документ.СчетФактураПолученный",
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MetaType: "Документ",
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attributes: [{ Name: "Контрагент" }]
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}
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.pilot_scope).toBe("metadata_inspection_v1");
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expect(result.mcp_execution_performed).toBe(true);
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expect(result.executed_primitives).toEqual(["inspect_1c_metadata"]);
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expect(result.evidence.evidence_status).toBe("confirmed");
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expect(result.source_rows_summary).toBe("2 MCP metadata rows fetched");
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expect(result.derived_metadata_surface).toMatchObject({
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metadata_scope: "НДС",
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requested_meta_types: ["Документ"],
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matched_rows: 2,
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available_entity_sets: ["Документ"],
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matched_objects: ["Документ.СчетФактураВыданный", "Документ.СчетФактураПолученный"],
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selected_entity_set: "Документ",
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selected_surface_objects: ["Документ.СчетФактураВыданный", "Документ.СчетФактураПолученный"],
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downstream_route_family: "document_evidence",
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recommended_next_primitive: "query_documents",
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ambiguity_detected: false,
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ambiguity_entity_sets: [],
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available_fields: ["Дата", "Организация", "Контрагент"],
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inference_basis: "confirmed_1c_metadata_surface_rows"
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});
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expect(result.reason_codes).toContain("pilot_inspect_1c_metadata_mcp_executed");
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expect(result.reason_codes).toContain("pilot_derived_metadata_surface_from_confirmed_rows");
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expect(deps.executeAddressMcpMetadata).toHaveBeenCalledTimes(1);
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expect(deps.executeAddressMcpMetadata.mock.calls[0]?.[0]).toMatchObject({
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meta_type: ["Документ"],
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name_mask: "НДС"
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});
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});
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it("keeps metadata grounding ambiguous when several surface families compete", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "metadata",
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asked_action_family: "inspect_fields",
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explicit_entity_candidates: ["НДС"]
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}
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});
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const deps = buildMetadataDeps([
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{
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FullName: "Документ.СчетФактураВыданный",
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MetaType: "Документ",
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attributes: [{ Name: "Дата" }]
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},
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{
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FullName: "РегистрНакопления.НДСПокупок",
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MetaType: "РегистрНакопления",
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resources: [{ Name: "СуммаНДС" }]
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}
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.derived_metadata_surface).toMatchObject({
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metadata_scope: "НДС",
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available_entity_sets: ["Документ", "РегистрНакопления"],
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selected_entity_set: null,
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downstream_route_family: null,
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recommended_next_primitive: null,
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ambiguity_detected: true,
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ambiguity_entity_sets: ["Документ", "РегистрНакопления"]
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});
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expect(result.evidence.inferred_facts).toEqual([]);
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expect(result.evidence.unknown_facts).toContain(
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"Exact downstream metadata surface remains ambiguous across: Документ, РегистрНакопления"
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);
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});
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it("executes value-flow query_movements and derives a guarded turnover sum", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "turnover",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020"
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}
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});
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const deps = buildDeps([
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{ Period: "2020-01-15T00:00:00", Amount: 1250, Counterparty: "SVK" },
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{ Period: "2020-02-20T00:00:00", Amount: "2 500,50", Counterparty: "SVK" }
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.pilot_scope).toBe("counterparty_value_flow_query_movements_v1");
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expect(result.mcp_execution_performed).toBe(true);
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expect(result.executed_primitives).toEqual(["query_movements"]);
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expect(result.skipped_primitives).toEqual(["resolve_entity_reference", "aggregate_by_axis", "probe_coverage"]);
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expect(result.evidence.evidence_status).toBe("confirmed");
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expect(result.evidence.confirmed_facts[0]).toContain("value-flow rows");
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expect(result.source_rows_summary).toBe("2 MCP value-flow rows fetched, 2 matched value-flow scope");
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expect(result.derived_value_flow).toMatchObject({
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counterparty: "SVK",
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period_scope: "2020",
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rows_matched: 2,
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rows_with_amount: 2,
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total_amount: 3750.5,
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coverage_limited_by_probe_limit: false,
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first_movement_date: "2020-01-15",
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latest_movement_date: "2020-02-20",
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inference_basis: "sum_of_confirmed_1c_value_flow_rows"
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});
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expect(result.reason_codes).toContain("pilot_query_movements_mcp_executed");
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expect(result.reason_codes).toContain("pilot_derived_value_flow_from_confirmed_rows");
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expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(1);
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const call = deps.executeAddressMcpQuery.mock.calls[0]?.[0];
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expect(String(call?.query ?? "")).toContain("ПоступлениеНаРасчетныйСчет");
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expect(call?.limit).toBeGreaterThan(0);
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});
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it("executes supplier payout query_movements and derives a guarded outgoing payment sum", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "payout",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020",
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unsupported_but_understood_family: "counterparty_payouts_or_outflow"
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}
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});
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const deps = buildDeps([
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{ Period: "2020-03-15T00:00:00", Amount: 4100, Counterparty: "SVK" },
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{ Period: "2020-04-20T00:00:00", Amount: "900,25", Counterparty: "SVK" }
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.pilot_scope).toBe("counterparty_supplier_payout_query_movements_v1");
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expect(result.derived_value_flow).toMatchObject({
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value_flow_direction: "outgoing_supplier_payout",
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counterparty: "SVK",
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period_scope: "2020",
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rows_matched: 2,
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rows_with_amount: 2,
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total_amount: 5000.25,
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coverage_limited_by_probe_limit: false,
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first_movement_date: "2020-03-15",
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latest_movement_date: "2020-04-20"
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});
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expect(result.evidence.confirmed_facts[0]).toContain("supplier-payout rows");
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expect(result.evidence.inferred_facts[0]).toContain("supplier-payout total");
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expect(result.evidence.unknown_facts).toContain("Full supplier-payout amount outside the checked period is not proven by this MCP discovery pilot");
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expect(result.reason_codes).toContain("pilot_supplier_payout_recipe_selected");
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const call = deps.executeAddressMcpQuery.mock.calls[0]?.[0];
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expect(String(call?.query ?? "")).toContain("СписаниеСРасчетногоСчета");
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});
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it("marks value-flow coverage as limited when the probe row limit is reached", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "payout",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020",
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unsupported_but_understood_family: "counterparty_payouts_or_outflow"
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}
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});
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const rows = Array.from({ length: 100 }, (_, index) => ({
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Period: `2020-01-${String((index % 28) + 1).padStart(2, "0")}T00:00:00`,
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Amount: 10,
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Counterparty: "SVK"
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}));
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const result = await executeAssistantMcpDiscoveryPilot(planner, buildDeps(rows));
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expect(result.derived_value_flow?.coverage_limited_by_probe_limit).toBe(true);
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expect(result.evidence.unknown_facts).toContain(
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"Complete requested-period coverage is not proven because the MCP discovery probe row limit was reached"
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);
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});
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it("recovers yearly value-flow coverage by splitting a limited broad probe into monthly subprobes", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "payout",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020",
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unsupported_but_understood_family: "counterparty_payouts_or_outflow"
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}
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});
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const broadRows = Array.from({ length: 100 }, (_, index) => ({
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Period: `2020-01-${String((index % 28) + 1).padStart(2, "0")}T00:00:00`,
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Amount: 10,
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Counterparty: "SVK"
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}));
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const monthlyResults = Array.from({ length: 12 }, (_, index) => ({
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rows: [
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{
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Period: `2020-${String(index + 1).padStart(2, "0")}-05T00:00:00`,
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Amount: (index + 1) * 100,
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Counterparty: "SVK"
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}
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]
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}));
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const result = await executeAssistantMcpDiscoveryPilot(
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planner,
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buildSequentialDeps([{ rows: broadRows }, ...monthlyResults])
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);
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expect(result.derived_value_flow).toMatchObject({
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value_flow_direction: "outgoing_supplier_payout",
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coverage_limited_by_probe_limit: false,
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coverage_recovered_by_period_chunking: true,
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period_chunking_granularity: "month",
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rows_matched: 12,
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rows_with_amount: 12,
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total_amount: 7800,
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first_movement_date: "2020-01-05",
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latest_movement_date: "2020-12-05"
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});
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expect(result.evidence.inferred_facts).toContain(
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"Requested period coverage was recovered through monthly 1C value-flow probes after the broad probe hit the row limit"
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);
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expect(result.evidence.unknown_facts).not.toContain(
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"Complete requested-period coverage is not proven because the MCP discovery probe row limit was reached"
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);
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expect(result.reason_codes).toContain("pilot_monthly_period_chunking_recovered_coverage");
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});
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it("executes bidirectional value-flow queries and derives guarded net cash flow", async () => {
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const planner = planAssistantMcpDiscovery({
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turnMeaning: {
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asked_domain_family: "counterparty_value",
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asked_action_family: "net_value_flow",
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explicit_entity_candidates: ["SVK"],
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explicit_date_scope: "2020",
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unsupported_but_understood_family: "counterparty_bidirectional_value_flow_or_netting"
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}
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});
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const deps = buildSequentialDeps([
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{
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rows: [
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{ Period: "2020-01-15T00:00:00", Amount: 10000, Counterparty: "SVK" },
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{ Period: "2020-02-20T00:00:00", Amount: "2 500,50", Counterparty: "SVK" }
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]
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},
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{
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rows: [{ Period: "2020-03-10T00:00:00", Amount: 4000, Counterparty: "SVK" }]
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}
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]);
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const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
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expect(result.pilot_status).toBe("executed");
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expect(result.pilot_scope).toBe("counterparty_bidirectional_value_flow_query_movements_v1");
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expect(result.mcp_execution_performed).toBe(true);
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expect(result.executed_primitives).toEqual(["query_movements"]);
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expect(result.derived_value_flow).toBeNull();
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expect(result.derived_bidirectional_value_flow).toMatchObject({
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counterparty: "SVK",
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period_scope: "2020",
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net_amount: 8500.5,
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net_amount_human_ru: "8 500,50 руб.",
|
||
net_direction: "net_incoming",
|
||
coverage_limited_by_probe_limit: false,
|
||
incoming_customer_revenue: {
|
||
rows_matched: 2,
|
||
rows_with_amount: 2,
|
||
total_amount: 12500.5,
|
||
first_movement_date: "2020-01-15",
|
||
latest_movement_date: "2020-02-20"
|
||
},
|
||
outgoing_supplier_payout: {
|
||
rows_matched: 1,
|
||
rows_with_amount: 1,
|
||
total_amount: 4000,
|
||
first_movement_date: "2020-03-10",
|
||
latest_movement_date: "2020-03-10"
|
||
}
|
||
});
|
||
expect(result.evidence.confirmed_facts[0]).toContain("bidirectional value-flow rows");
|
||
expect(result.evidence.inferred_facts[0]).toContain("net value-flow");
|
||
expect(result.evidence.unknown_facts).toContain(
|
||
"Full bidirectional value-flow outside the checked period is not proven by this MCP discovery pilot"
|
||
);
|
||
expect(result.reason_codes).toContain("pilot_bidirectional_value_flow_recipes_selected");
|
||
expect(result.reason_codes).toContain("pilot_derived_bidirectional_value_flow_from_confirmed_rows");
|
||
expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(2);
|
||
});
|
||
|
||
it("derives monthly bidirectional value-flow breakdown when the turn explicitly asks by month", async () => {
|
||
const planner = planAssistantMcpDiscovery({
|
||
turnMeaning: {
|
||
asked_domain_family: "counterparty_value",
|
||
asked_action_family: "net_value_flow",
|
||
asked_aggregation_axis: "month",
|
||
explicit_entity_candidates: ["SVK"],
|
||
explicit_date_scope: "2020",
|
||
unsupported_but_understood_family: "counterparty_bidirectional_value_flow_or_netting"
|
||
}
|
||
});
|
||
const deps = buildSequentialDeps([
|
||
{
|
||
rows: [
|
||
{ Period: "2020-01-15T00:00:00", Amount: 10000, Counterparty: "SVK" },
|
||
{ Period: "2020-02-20T00:00:00", Amount: "2 500,50", Counterparty: "SVK" }
|
||
]
|
||
},
|
||
{
|
||
rows: [
|
||
{ Period: "2020-01-10T00:00:00", Amount: 4000, Counterparty: "SVK" },
|
||
{ Period: "2020-02-11T00:00:00", Amount: 1000, Counterparty: "SVK" }
|
||
]
|
||
}
|
||
]);
|
||
|
||
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
|
||
|
||
expect(result.derived_bidirectional_value_flow?.aggregation_axis).toBe("month");
|
||
expect(result.derived_bidirectional_value_flow?.monthly_breakdown).toMatchObject([
|
||
{
|
||
month_bucket: "2020-01",
|
||
incoming_total_amount: 10000,
|
||
incoming_rows_with_amount: 1,
|
||
outgoing_total_amount: 4000,
|
||
outgoing_rows_with_amount: 1,
|
||
net_amount: 6000,
|
||
net_direction: "net_incoming"
|
||
},
|
||
{
|
||
month_bucket: "2020-02",
|
||
incoming_total_amount: 2500.5,
|
||
incoming_rows_with_amount: 1,
|
||
outgoing_total_amount: 1000,
|
||
outgoing_rows_with_amount: 1,
|
||
net_amount: 1500.5,
|
||
net_direction: "net_incoming"
|
||
}
|
||
]);
|
||
expect(result.derived_bidirectional_value_flow?.monthly_breakdown[0]?.incoming_total_amount_human_ru).toContain("10 000");
|
||
expect(result.derived_bidirectional_value_flow?.monthly_breakdown[0]?.net_amount_human_ru).toContain("6 000");
|
||
expect(result.derived_bidirectional_value_flow?.monthly_breakdown[1]?.incoming_total_amount_human_ru).toContain("2 500,50");
|
||
expect(result.derived_bidirectional_value_flow?.monthly_breakdown[1]?.net_amount_human_ru).toContain("1 500,50");
|
||
expect(result.evidence.inferred_facts).toContain(
|
||
"Counterparty monthly net value-flow breakdown was grouped by month over confirmed incoming and outgoing 1C rows"
|
||
);
|
||
expect(result.reason_codes).toContain("pilot_derived_bidirectional_monthly_breakdown_from_confirmed_rows");
|
||
});
|
||
|
||
it("recovers bidirectional yearly coverage when one side is rebuilt from monthly subprobes", async () => {
|
||
const planner = planAssistantMcpDiscovery({
|
||
turnMeaning: {
|
||
asked_domain_family: "counterparty_value",
|
||
asked_action_family: "net_value_flow",
|
||
explicit_entity_candidates: ["SVK"],
|
||
explicit_date_scope: "2020",
|
||
unsupported_but_understood_family: "counterparty_bidirectional_value_flow_or_netting"
|
||
}
|
||
});
|
||
const outgoingBroadRows = Array.from({ length: 100 }, (_, index) => ({
|
||
Period: `2020-01-${String((index % 28) + 1).padStart(2, "0")}T00:00:00`,
|
||
Amount: 10,
|
||
Counterparty: "SVK"
|
||
}));
|
||
const outgoingMonthlyResults = Array.from({ length: 12 }, (_, index) => ({
|
||
rows: [
|
||
{
|
||
Period: `2020-${String(index + 1).padStart(2, "0")}-10T00:00:00`,
|
||
Amount: (index + 1) * 50,
|
||
Counterparty: "SVK"
|
||
}
|
||
]
|
||
}));
|
||
const deps = buildSequentialDeps([
|
||
{
|
||
rows: [
|
||
{ Period: "2020-01-15T00:00:00", Amount: 10000, Counterparty: "SVK" },
|
||
{ Period: "2020-02-20T00:00:00", Amount: 10000, Counterparty: "SVK" }
|
||
]
|
||
},
|
||
{ rows: outgoingBroadRows },
|
||
...outgoingMonthlyResults
|
||
]);
|
||
|
||
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
|
||
|
||
expect(result.derived_bidirectional_value_flow).toMatchObject({
|
||
coverage_limited_by_probe_limit: false,
|
||
coverage_recovered_by_period_chunking: true,
|
||
period_chunking_granularity: "month",
|
||
net_amount: 16100,
|
||
incoming_customer_revenue: {
|
||
total_amount: 20000,
|
||
coverage_limited_by_probe_limit: false
|
||
},
|
||
outgoing_supplier_payout: {
|
||
total_amount: 3900,
|
||
coverage_limited_by_probe_limit: false,
|
||
coverage_recovered_by_period_chunking: true,
|
||
period_chunking_granularity: "month"
|
||
}
|
||
});
|
||
expect(result.evidence.inferred_facts).toContain(
|
||
"Requested period coverage for bidirectional value-flow was recovered through monthly 1C side probes after a broad probe hit the row limit"
|
||
);
|
||
expect(result.evidence.unknown_facts).not.toContain(
|
||
"Complete requested-period coverage for bidirectional value-flow is not proven because at least one MCP discovery probe row limit was reached"
|
||
);
|
||
expect(result.reason_codes).toContain("pilot_bidirectional_outgoing_monthly_period_chunking_recovered_coverage");
|
||
expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(14);
|
||
});
|
||
|
||
it("executes document-ready plans through the dedicated document pilot", async () => {
|
||
const planner = planAssistantMcpDiscovery({
|
||
turnMeaning: {
|
||
asked_domain_family: "counterparty_documents",
|
||
asked_action_family: "list_documents",
|
||
explicit_entity_candidates: ["SVK"]
|
||
}
|
||
});
|
||
const deps = buildDeps([]);
|
||
|
||
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
|
||
|
||
expect(result.pilot_status).toBe("executed");
|
||
expect(result.pilot_scope).toBe("counterparty_document_evidence_query_documents_v1");
|
||
expect(result.mcp_execution_performed).toBe(true);
|
||
expect(result.executed_primitives).toEqual(["query_documents"]);
|
||
expect(result.reason_codes).toContain("pilot_query_documents_mcp_executed");
|
||
expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(1);
|
||
});
|
||
|
||
it("records MCP errors as limitations without converting them into facts", async () => {
|
||
const planner = planAssistantMcpDiscovery({
|
||
turnMeaning: {
|
||
asked_domain_family: "counterparty_lifecycle",
|
||
asked_action_family: "activity_duration",
|
||
explicit_entity_candidates: ["SVK"]
|
||
}
|
||
});
|
||
const deps = buildDeps([], "MCP fetch failed: timeout");
|
||
|
||
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
|
||
|
||
expect(result.pilot_status).toBe("executed");
|
||
expect(result.mcp_execution_performed).toBe(true);
|
||
expect(result.evidence.evidence_status).toBe("insufficient");
|
||
expect(result.evidence.confirmed_facts).toEqual([]);
|
||
expect(result.derived_activity_period).toBeNull();
|
||
expect(result.query_limitations).toContain("MCP fetch failed: timeout");
|
||
expect(result.reason_codes).toContain("pilot_query_documents_mcp_error");
|
||
});
|
||
});
|