NODEDC_1C/llm_normalizer/backend/src/services/assistantMcpDiscoveryPilotE...

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import {
executeAddressMcpQuery,
type AddressMcpMetadataRowsResult
} from "./addressMcpClient";
import {
buildAssistantMcpDiscoveryRuntimeDryRun,
type AssistantMcpDiscoveryRuntimeDryRunContract,
type AssistantMcpDiscoveryRuntimeStepContract
} from "./assistantMcpDiscoveryRuntimeAdapter";
import type { AssistantMcpDiscoveryPlannerContract } from "./assistantMcpDiscoveryPlanner";
import {
resolveAssistantMcpDiscoveryEvidence,
type AssistantMcpDiscoveryEvidenceContract,
type AssistantMcpDiscoveryProbeResult
} from "./assistantMcpDiscoveryPolicy";
import { buildAddressRecipePlan, selectAddressRecipe } from "./addressRecipeCatalog";
import type { AddressFilterSet, AddressIntent } from "../types/addressQuery";
export const ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION =
"assistant_mcp_discovery_pilot_executor_v1" as const;
export type AssistantMcpDiscoveryPilotStatus =
| "executed"
| "skipped_needs_clarification"
| "blocked"
| "unsupported";
export interface AssistantMcpDiscoveryPilotExecutorDeps {
executeAddressMcpQuery: typeof executeAddressMcpQuery;
}
export interface AssistantMcpDiscoveryDerivedActivityPeriod {
first_activity_date: string;
latest_activity_date: string;
matched_rows: number;
duration_total_months: number;
duration_years: number;
duration_months_remainder: number;
duration_human_ru: string;
inference_basis: "first_and_latest_confirmed_1c_activity_rows";
}
export type AssistantMcpDiscoveryAggregationAxis = "month";
export type AssistantMcpDiscoveryNetDirection = "net_incoming" | "net_outgoing" | "balanced";
export interface AssistantMcpDiscoveryValueFlowMonthBucket {
month_bucket: string;
rows_with_amount: number;
total_amount: number;
total_amount_human_ru: string;
}
export interface AssistantMcpDiscoveryDerivedValueFlow {
value_flow_direction: "incoming_customer_revenue" | "outgoing_supplier_payout";
counterparty: string | null;
period_scope: string | null;
aggregation_axis: AssistantMcpDiscoveryAggregationAxis | null;
rows_matched: number;
rows_with_amount: number;
total_amount: number;
total_amount_human_ru: string;
first_movement_date: string | null;
latest_movement_date: string | null;
coverage_limited_by_probe_limit: boolean;
monthly_breakdown: AssistantMcpDiscoveryValueFlowMonthBucket[];
inference_basis: "sum_of_confirmed_1c_value_flow_rows";
}
export interface AssistantMcpDiscoveryValueFlowSideSummary {
rows_matched: number;
rows_with_amount: number;
total_amount: number;
total_amount_human_ru: string;
first_movement_date: string | null;
latest_movement_date: string | null;
coverage_limited_by_probe_limit: boolean;
}
export interface AssistantMcpDiscoveryBidirectionalValueFlowMonthBucket {
month_bucket: string;
incoming_total_amount: number;
incoming_total_amount_human_ru: string;
incoming_rows_with_amount: number;
outgoing_total_amount: number;
outgoing_total_amount_human_ru: string;
outgoing_rows_with_amount: number;
net_amount: number;
net_amount_human_ru: string;
net_direction: AssistantMcpDiscoveryNetDirection;
}
export interface AssistantMcpDiscoveryDerivedBidirectionalValueFlow {
counterparty: string | null;
period_scope: string | null;
aggregation_axis: AssistantMcpDiscoveryAggregationAxis | null;
incoming_customer_revenue: AssistantMcpDiscoveryValueFlowSideSummary;
outgoing_supplier_payout: AssistantMcpDiscoveryValueFlowSideSummary;
net_amount: number;
net_amount_human_ru: string;
net_direction: AssistantMcpDiscoveryNetDirection;
coverage_limited_by_probe_limit: boolean;
monthly_breakdown: AssistantMcpDiscoveryBidirectionalValueFlowMonthBucket[];
inference_basis: "incoming_minus_outgoing_confirmed_1c_value_flow_rows";
}
export type AssistantMcpDiscoveryPilotScope =
| "counterparty_lifecycle_query_documents_v1"
| "counterparty_value_flow_query_movements_v1"
| "counterparty_supplier_payout_query_movements_v1"
| "counterparty_bidirectional_value_flow_query_movements_v1";
export interface AssistantMcpDiscoveryPilotExecutionContract {
schema_version: typeof ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION;
policy_owner: "assistantMcpDiscoveryPilotExecutor";
pilot_status: AssistantMcpDiscoveryPilotStatus;
pilot_scope: AssistantMcpDiscoveryPilotScope;
dry_run: AssistantMcpDiscoveryRuntimeDryRunContract;
mcp_execution_performed: boolean;
executed_primitives: string[];
skipped_primitives: string[];
probe_results: AssistantMcpDiscoveryProbeResult[];
evidence: AssistantMcpDiscoveryEvidenceContract;
source_rows_summary: string | null;
derived_activity_period: AssistantMcpDiscoveryDerivedActivityPeriod | null;
derived_value_flow: AssistantMcpDiscoveryDerivedValueFlow | null;
derived_bidirectional_value_flow: AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null;
query_limitations: string[];
reason_codes: string[];
}
type AddressMcpQueryExecutorResult = Awaited<ReturnType<typeof executeAddressMcpQuery>>;
const DEFAULT_DEPS: AssistantMcpDiscoveryPilotExecutorDeps = {
executeAddressMcpQuery
};
function toNonEmptyString(value: unknown): string | null {
if (value === null || value === undefined) {
return null;
}
const text = String(value).trim();
return text.length > 0 ? text : null;
}
function normalizeReasonCode(value: string): string | null {
const normalized = value
.trim()
.replace(/[^\p{L}\p{N}_.:-]+/gu, "_")
.replace(/^_+|_+$/g, "")
.toLowerCase();
return normalized.length > 0 ? normalized.slice(0, 120) : null;
}
function pushReason(target: string[], value: string): void {
const normalized = normalizeReasonCode(value);
if (normalized && !target.includes(normalized)) {
target.push(normalized);
}
}
function pushUnique(target: string[], value: string): void {
const text = value.trim();
if (text && !target.includes(text)) {
target.push(text);
}
}
function aggregationAxisForPlanner(
planner: AssistantMcpDiscoveryPlannerContract
): AssistantMcpDiscoveryAggregationAxis | null {
const axis = toNonEmptyString(planner.discovery_plan.turn_meaning_ref?.asked_aggregation_axis)?.toLowerCase();
return axis === "month" ? "month" : null;
}
function firstEntityCandidate(planner: AssistantMcpDiscoveryPlannerContract): string | null {
const candidates = planner.discovery_plan.turn_meaning_ref?.explicit_entity_candidates ?? [];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
if (text) {
return text;
}
}
return null;
}
function dateScopeToFilters(dateScope: string | null): Pick<AddressFilterSet, "period_from" | "period_to"> {
if (!dateScope) {
return {};
}
const yearMatch = dateScope.match(/^(\d{4})$/);
if (yearMatch) {
return {
period_from: `${yearMatch[1]}-01-01`,
period_to: `${yearMatch[1]}-12-31`
};
}
const dateMatch = dateScope.match(/^(\d{4})-(\d{2})-(\d{2})/);
if (dateMatch) {
const date = `${dateMatch[1]}-${dateMatch[2]}-${dateMatch[3]}`;
return {
period_from: date,
period_to: date
};
}
return {};
}
function buildLifecycleFilters(planner: AssistantMcpDiscoveryPlannerContract): AddressFilterSet {
const meaning = planner.discovery_plan.turn_meaning_ref;
const counterparty = firstEntityCandidate(planner);
const organization = toNonEmptyString(meaning?.explicit_organization_scope);
const dateScope = toNonEmptyString(meaning?.explicit_date_scope);
return {
...dateScopeToFilters(dateScope),
...(counterparty ? { counterparty } : {}),
...(organization ? { organization } : {}),
limit: planner.discovery_plan.execution_budget.max_rows_per_probe,
sort: "period_asc"
};
}
function buildValueFlowFilters(planner: AssistantMcpDiscoveryPlannerContract): AddressFilterSet {
const meaning = planner.discovery_plan.turn_meaning_ref;
const counterparty = firstEntityCandidate(planner);
const organization = toNonEmptyString(meaning?.explicit_organization_scope);
const dateScope = toNonEmptyString(meaning?.explicit_date_scope);
return {
...dateScopeToFilters(dateScope),
...(counterparty ? { counterparty } : {}),
...(organization ? { organization } : {}),
limit: planner.discovery_plan.execution_budget.max_rows_per_probe,
sort: "period_asc"
};
}
function isLifecyclePilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
const combined = `${domain} ${action}`;
return (
planner.proposed_primitives.includes("query_documents") &&
(combined.includes("lifecycle") || combined.includes("activity") || combined.includes("duration") || combined.includes("age"))
);
}
function isValueFlowPilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
const unsupported = String(meaning?.unsupported_but_understood_family ?? "").toLowerCase();
const combined = `${domain} ${action} ${unsupported}`;
return (
planner.proposed_primitives.includes("query_movements") &&
(combined.includes("turnover") ||
combined.includes("revenue") ||
combined.includes("payment") ||
combined.includes("payout") ||
combined.includes("value"))
);
}
interface ValueFlowPilotProfile {
scope: Extract<
AssistantMcpDiscoveryPilotScope,
| "counterparty_value_flow_query_movements_v1"
| "counterparty_supplier_payout_query_movements_v1"
| "counterparty_bidirectional_value_flow_query_movements_v1"
>;
recipe_intent: Extract<AddressIntent, "customer_revenue_and_payments" | "supplier_payouts_profile"> | null;
direction: AssistantMcpDiscoveryDerivedValueFlow["value_flow_direction"] | "bidirectional_net_value_flow";
}
function valueFlowPilotProfile(planner: AssistantMcpDiscoveryPlannerContract): ValueFlowPilotProfile {
const meaning = planner.discovery_plan.turn_meaning_ref;
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
const unsupported = String(meaning?.unsupported_but_understood_family ?? "").toLowerCase();
const combined = `${action} ${unsupported}`;
if (
combined.includes("net_value_flow") ||
combined.includes("bidirectional") ||
combined.includes("netting") ||
combined.includes("net")
) {
return {
scope: "counterparty_bidirectional_value_flow_query_movements_v1",
recipe_intent: null,
direction: "bidirectional_net_value_flow"
};
}
if (
combined.includes("payout") ||
combined.includes("outflow") ||
combined.includes("supplier") ||
combined.includes("paid")
) {
return {
scope: "counterparty_supplier_payout_query_movements_v1",
recipe_intent: "supplier_payouts_profile",
direction: "outgoing_supplier_payout"
};
}
return {
scope: "counterparty_value_flow_query_movements_v1",
recipe_intent: "customer_revenue_and_payments",
direction: "incoming_customer_revenue"
};
}
function skippedProbeResult(step: AssistantMcpDiscoveryRuntimeStepContract, limitation: string): AssistantMcpDiscoveryProbeResult {
return {
primitive_id: step.primitive_id,
status: "skipped",
rows_received: 0,
rows_matched: 0,
limitation
};
}
function queryResultToProbeResult(
primitiveId: string,
result: AddressMcpQueryExecutorResult
): AssistantMcpDiscoveryProbeResult {
return {
primitive_id: primitiveId,
status: result.error ? "error" : "ok",
rows_received: result.fetched_rows,
rows_matched: result.matched_rows,
limitation: result.error
};
}
function summarizeLifecycleRows(result: AddressMcpQueryExecutorResult): string | null {
if (result.error) {
return null;
}
if (result.fetched_rows <= 0) {
return "0 MCP document rows fetched";
}
return `${result.fetched_rows} MCP document rows fetched, ${result.matched_rows} matched lifecycle scope`;
}
function summarizeValueFlowRows(result: AddressMcpQueryExecutorResult): string | null {
if (result.error) {
return null;
}
if (result.fetched_rows <= 0) {
return "0 MCP value-flow rows fetched";
}
return `${result.fetched_rows} MCP value-flow rows fetched, ${result.matched_rows} matched value-flow scope`;
}
function rowDateValue(row: Record<string, unknown>): string | null {
const candidates = [
row["Период"],
row["Period"],
row["period"],
row["Дата"],
row["Date"],
row["date"]
];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
const match = text?.match(/(\d{4})-(\d{2})-(\d{2})/);
if (match) {
return `${match[1]}-${match[2]}-${match[3]}`;
}
}
return null;
}
function rowAmountValue(row: Record<string, unknown>): number | null {
const candidates = [
row["Сумма"],
row["РЎСѓРјРјР°"],
row["СуммаДокумента"],
row["СуммаДокумента"],
row["Amount"],
row["amount"],
row["Total"],
row["total"]
];
for (const candidate of candidates) {
if (typeof candidate === "number" && Number.isFinite(candidate)) {
return candidate;
}
const text = toNonEmptyString(candidate);
if (!text) {
continue;
}
const normalized = text
.replace(/\s+/g, "")
.replace(/\u00a0/g, "")
.replace(",", ".")
.replace(/[^\d.-]/g, "");
const parsed = Number(normalized);
if (Number.isFinite(parsed)) {
return parsed;
}
}
return null;
}
function monthBucketFromIsoDate(isoDate: string | null): string | null {
const match = isoDate?.match(/^(\d{4})-(\d{2})-\d{2}$/);
return match ? `${match[1]}-${match[2]}` : null;
}
function netDirectionFromAmount(amount: number): AssistantMcpDiscoveryNetDirection {
if (amount > 0) {
return "net_incoming";
}
if (amount < 0) {
return "net_outgoing";
}
return "balanced";
}
function monthDiff(firstIsoDate: string, latestIsoDate: string): number {
const first = new Date(`${firstIsoDate}T00:00:00.000Z`);
const latest = new Date(`${latestIsoDate}T00:00:00.000Z`);
if (Number.isNaN(first.getTime()) || Number.isNaN(latest.getTime()) || latest < first) {
return 0;
}
let months = (latest.getUTCFullYear() - first.getUTCFullYear()) * 12;
months += latest.getUTCMonth() - first.getUTCMonth();
if (latest.getUTCDate() < first.getUTCDate()) {
months -= 1;
}
return Math.max(0, months);
}
function formatDurationHumanRu(totalMonths: number): string {
const years = Math.floor(totalMonths / 12);
const months = totalMonths % 12;
const parts: string[] = [];
if (years > 0) {
parts.push(`${years} ${years === 1 ? "год" : years >= 2 && years <= 4 ? "года" : "лет"}`);
}
if (months > 0) {
parts.push(`${months} ${months === 1 ? "месяц" : months >= 2 && months <= 4 ? "месяца" : "месяцев"}`);
}
return parts.length > 0 ? parts.join(" ") : "меньше месяца";
}
function deriveActivityPeriod(
result: AddressMcpQueryExecutorResult | null
): AssistantMcpDiscoveryDerivedActivityPeriod | null {
if (!result || result.error || result.matched_rows <= 0) {
return null;
}
const dates = result.rows
.map((row) => rowDateValue(row))
.filter((value): value is string => Boolean(value))
.sort();
if (dates.length === 0) {
return null;
}
const first = dates[0];
const latest = dates[dates.length - 1];
const totalMonths = monthDiff(first, latest);
return {
first_activity_date: first,
latest_activity_date: latest,
matched_rows: result.matched_rows,
duration_total_months: totalMonths,
duration_years: Math.floor(totalMonths / 12),
duration_months_remainder: totalMonths % 12,
duration_human_ru: formatDurationHumanRu(totalMonths),
inference_basis: "first_and_latest_confirmed_1c_activity_rows"
};
}
function formatAmountHumanRu(amount: number): string {
const formatted = new Intl.NumberFormat("ru-RU", {
maximumFractionDigits: 2,
minimumFractionDigits: Number.isInteger(amount) ? 0 : 2
})
.format(amount)
.replace(/\u00a0/g, " ");
return `${formatted} руб.`;
}
function deriveValueFlowMonthBreakdown(
result: AddressMcpQueryExecutorResult | null,
aggregationAxis: AssistantMcpDiscoveryAggregationAxis | null
): AssistantMcpDiscoveryValueFlowMonthBucket[] {
if (!result || result.error || aggregationAxis !== "month") {
return [];
}
const buckets = new Map<string, { rows_with_amount: number; total_amount: number }>();
for (const row of result.rows) {
const isoDate = rowDateValue(row);
const monthBucket = monthBucketFromIsoDate(isoDate);
const amount = rowAmountValue(row);
if (!monthBucket || amount === null) {
continue;
}
const current = buckets.get(monthBucket) ?? { rows_with_amount: 0, total_amount: 0 };
current.rows_with_amount += 1;
current.total_amount += amount;
buckets.set(monthBucket, current);
}
return Array.from(buckets.entries())
.sort(([left], [right]) => left.localeCompare(right))
.map(([monthBucket, bucket]) => ({
month_bucket: monthBucket,
rows_with_amount: bucket.rows_with_amount,
total_amount: bucket.total_amount,
total_amount_human_ru: formatAmountHumanRu(bucket.total_amount)
}));
}
function deriveBidirectionalValueFlowMonthBreakdown(input: {
incomingResult: AddressMcpQueryExecutorResult | null;
outgoingResult: AddressMcpQueryExecutorResult | null;
aggregationAxis: AssistantMcpDiscoveryAggregationAxis | null;
}): AssistantMcpDiscoveryBidirectionalValueFlowMonthBucket[] {
if (input.aggregationAxis !== "month") {
return [];
}
const incomingBuckets = deriveValueFlowMonthBreakdown(input.incomingResult, "month");
const outgoingBuckets = deriveValueFlowMonthBreakdown(input.outgoingResult, "month");
const allMonthBuckets = new Set<string>();
for (const bucket of incomingBuckets) {
allMonthBuckets.add(bucket.month_bucket);
}
for (const bucket of outgoingBuckets) {
allMonthBuckets.add(bucket.month_bucket);
}
const incomingByMonth = new Map(incomingBuckets.map((bucket) => [bucket.month_bucket, bucket]));
const outgoingByMonth = new Map(outgoingBuckets.map((bucket) => [bucket.month_bucket, bucket]));
return Array.from(allMonthBuckets)
.sort((left, right) => left.localeCompare(right))
.map((monthBucket) => {
const incoming = incomingByMonth.get(monthBucket);
const outgoing = outgoingByMonth.get(monthBucket);
const incomingAmount = incoming?.total_amount ?? 0;
const outgoingAmount = outgoing?.total_amount ?? 0;
const netAmount = incomingAmount - outgoingAmount;
return {
month_bucket: monthBucket,
incoming_total_amount: incomingAmount,
incoming_total_amount_human_ru: formatAmountHumanRu(incomingAmount),
incoming_rows_with_amount: incoming?.rows_with_amount ?? 0,
outgoing_total_amount: outgoingAmount,
outgoing_total_amount_human_ru: formatAmountHumanRu(outgoingAmount),
outgoing_rows_with_amount: outgoing?.rows_with_amount ?? 0,
net_amount: netAmount,
net_amount_human_ru: formatAmountHumanRu(Math.abs(netAmount)),
net_direction: netDirectionFromAmount(netAmount)
};
});
}
function deriveValueFlow(
result: AddressMcpQueryExecutorResult | null,
counterparty: string | null,
periodScope: string | null,
direction: AssistantMcpDiscoveryDerivedValueFlow["value_flow_direction"],
probeLimit: number,
aggregationAxis: AssistantMcpDiscoveryAggregationAxis | null
): AssistantMcpDiscoveryDerivedValueFlow | null {
if (!result || result.error || result.matched_rows <= 0) {
return null;
}
let totalAmount = 0;
let rowsWithAmount = 0;
for (const row of result.rows) {
const amount = rowAmountValue(row);
if (amount !== null) {
totalAmount += amount;
rowsWithAmount += 1;
}
}
if (rowsWithAmount <= 0) {
return null;
}
const dates = result.rows
.map((row) => rowDateValue(row))
.filter((value): value is string => Boolean(value))
.sort();
return {
value_flow_direction: direction,
counterparty,
period_scope: periodScope,
aggregation_axis: aggregationAxis,
rows_matched: result.matched_rows,
rows_with_amount: rowsWithAmount,
total_amount: totalAmount,
total_amount_human_ru: formatAmountHumanRu(totalAmount),
first_movement_date: dates[0] ?? null,
latest_movement_date: dates[dates.length - 1] ?? null,
coverage_limited_by_probe_limit: result.matched_rows >= probeLimit,
monthly_breakdown: deriveValueFlowMonthBreakdown(result, aggregationAxis),
inference_basis: "sum_of_confirmed_1c_value_flow_rows"
};
}
function deriveValueFlowSideSummary(
result: AddressMcpQueryExecutorResult | null,
probeLimit: number
): AssistantMcpDiscoveryValueFlowSideSummary {
if (!result || result.error || result.matched_rows <= 0) {
return {
rows_matched: 0,
rows_with_amount: 0,
total_amount: 0,
total_amount_human_ru: formatAmountHumanRu(0),
first_movement_date: null,
latest_movement_date: null,
coverage_limited_by_probe_limit: false
};
}
let totalAmount = 0;
let rowsWithAmount = 0;
for (const row of result.rows) {
const amount = rowAmountValue(row);
if (amount !== null) {
totalAmount += amount;
rowsWithAmount += 1;
}
}
const dates = result.rows
.map((row) => rowDateValue(row))
.filter((value): value is string => Boolean(value))
.sort();
return {
rows_matched: result.matched_rows,
rows_with_amount: rowsWithAmount,
total_amount: totalAmount,
total_amount_human_ru: formatAmountHumanRu(totalAmount),
first_movement_date: dates[0] ?? null,
latest_movement_date: dates[dates.length - 1] ?? null,
coverage_limited_by_probe_limit: result.matched_rows >= probeLimit
};
}
function deriveBidirectionalValueFlow(input: {
incomingResult: AddressMcpQueryExecutorResult | null;
outgoingResult: AddressMcpQueryExecutorResult | null;
counterparty: string | null;
periodScope: string | null;
probeLimit: number;
aggregationAxis: AssistantMcpDiscoveryAggregationAxis | null;
}): AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null {
const incoming = deriveValueFlowSideSummary(input.incomingResult, input.probeLimit);
const outgoing = deriveValueFlowSideSummary(input.outgoingResult, input.probeLimit);
if (incoming.rows_with_amount <= 0 && outgoing.rows_with_amount <= 0) {
return null;
}
const netAmount = incoming.total_amount - outgoing.total_amount;
return {
counterparty: input.counterparty,
period_scope: input.periodScope,
aggregation_axis: input.aggregationAxis,
incoming_customer_revenue: incoming,
outgoing_supplier_payout: outgoing,
net_amount: netAmount,
net_amount_human_ru: formatAmountHumanRu(Math.abs(netAmount)),
net_direction: netDirectionFromAmount(netAmount),
coverage_limited_by_probe_limit:
incoming.coverage_limited_by_probe_limit || outgoing.coverage_limited_by_probe_limit,
monthly_breakdown: deriveBidirectionalValueFlowMonthBreakdown({
incomingResult: input.incomingResult,
outgoingResult: input.outgoingResult,
aggregationAxis: input.aggregationAxis
}),
inference_basis: "incoming_minus_outgoing_confirmed_1c_value_flow_rows"
};
}
function summarizeBidirectionalValueFlowRows(input: {
incomingResult: AddressMcpQueryExecutorResult | null;
outgoingResult: AddressMcpQueryExecutorResult | null;
}): string | null {
const incoming = input.incomingResult;
const outgoing = input.outgoingResult;
if (!incoming && !outgoing) {
return null;
}
const incomingSummary = incoming?.error
? "incoming value-flow query failed"
: `${incoming?.fetched_rows ?? 0} incoming value-flow rows fetched, ${incoming?.matched_rows ?? 0} matched`;
const outgoingSummary = outgoing?.error
? "outgoing supplier-payout query failed"
: `${outgoing?.fetched_rows ?? 0} outgoing supplier-payout rows fetched, ${outgoing?.matched_rows ?? 0} matched`;
return `${incomingSummary}; ${outgoingSummary}`;
}
function buildLifecycleConfirmedFacts(result: AddressMcpQueryExecutorResult, counterparty: string | null): string[] {
if (result.error || result.matched_rows <= 0) {
return [];
}
return [
counterparty
? `1C activity rows were found for counterparty ${counterparty}`
: "1C activity rows were found for the requested counterparty scope"
];
}
function buildValueFlowConfirmedFacts(
result: AddressMcpQueryExecutorResult,
counterparty: string | null,
direction: AssistantMcpDiscoveryDerivedValueFlow["value_flow_direction"]
): string[] {
if (result.error || result.matched_rows <= 0) {
return [];
}
if (direction === "outgoing_supplier_payout") {
return [
counterparty
? `1C supplier-payout rows were found for counterparty ${counterparty}`
: "1C supplier-payout rows were found for the requested counterparty scope"
];
}
return [
counterparty
? `1C value-flow rows were found for counterparty ${counterparty}`
: "1C value-flow rows were found for the requested counterparty scope"
];
}
function buildBidirectionalValueFlowConfirmedFacts(
derived: AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null
): string[] {
if (!derived) {
return [];
}
const hasIncoming = derived.incoming_customer_revenue.rows_matched > 0;
const hasOutgoing = derived.outgoing_supplier_payout.rows_matched > 0;
if (derived.counterparty) {
return [
`1C bidirectional value-flow rows were checked for counterparty ${derived.counterparty}: incoming=${hasIncoming ? "found" : "not_found"}, outgoing=${hasOutgoing ? "found" : "not_found"}`
];
}
return [
`1C bidirectional value-flow rows were checked for the requested counterparty scope: incoming=${hasIncoming ? "found" : "not_found"}, outgoing=${hasOutgoing ? "found" : "not_found"}`
];
}
function buildLifecycleInferredFacts(result: AddressMcpQueryExecutorResult): string[] {
if (result.error || result.fetched_rows <= 0) {
return [];
}
return ["Business activity duration may be inferred from first and latest confirmed 1C activity rows"];
}
function buildValueFlowInferredFacts(derived: AssistantMcpDiscoveryDerivedValueFlow | null): string[] {
if (!derived) {
return [];
}
const facts: string[] = [];
if (derived.value_flow_direction === "outgoing_supplier_payout") {
facts.push("Counterparty supplier-payout total was calculated from confirmed 1C outgoing payment rows");
} else {
facts.push("Counterparty value-flow total was calculated from confirmed 1C movement rows");
}
if (derived.aggregation_axis === "month" && derived.monthly_breakdown.length > 0) {
facts.push("Counterparty monthly value-flow breakdown was grouped by month over confirmed 1C movement rows");
}
return facts;
}
function buildBidirectionalValueFlowInferredFacts(
derived: AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null
): string[] {
if (!derived) {
return [];
}
const facts = ["Counterparty net value-flow was calculated as incoming confirmed 1C rows minus outgoing confirmed 1C rows"];
if (derived.aggregation_axis === "month" && derived.monthly_breakdown.length > 0) {
facts.push("Counterparty monthly net value-flow breakdown was grouped by month over confirmed incoming and outgoing 1C rows");
}
return facts;
}
function buildLifecycleUnknownFacts(): string[] {
return ["Legal registration date is not proven by this MCP discovery pilot"];
}
function buildValueFlowUnknownFacts(
periodScope: string | null,
direction: AssistantMcpDiscoveryDerivedValueFlow["value_flow_direction"],
derived: AssistantMcpDiscoveryDerivedValueFlow | null
): string[] {
const unknownFacts: string[] = [];
if (derived?.coverage_limited_by_probe_limit) {
unknownFacts.push("Complete requested-period coverage is not proven because the MCP discovery probe row limit was reached");
}
if (direction === "outgoing_supplier_payout") {
unknownFacts.push(
periodScope
? "Full supplier-payout amount outside the checked period is not proven by this MCP discovery pilot"
: "Full all-time supplier-payout amount is not proven without an explicit checked period"
);
return unknownFacts;
}
unknownFacts.push(
periodScope
? "Full turnover outside the checked period is not proven by this MCP discovery pilot"
: "Full all-time turnover is not proven without an explicit checked period"
);
return unknownFacts;
}
function buildBidirectionalValueFlowUnknownFacts(
periodScope: string | null,
derived: AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null
): string[] {
const unknownFacts: string[] = [];
if (derived?.coverage_limited_by_probe_limit) {
unknownFacts.push(
"Complete requested-period coverage for bidirectional value-flow is not proven because at least one MCP discovery probe row limit was reached"
);
}
unknownFacts.push(
periodScope
? "Full bidirectional value-flow outside the checked period is not proven by this MCP discovery pilot"
: "Full all-time bidirectional value-flow is not proven without an explicit checked period"
);
return unknownFacts;
}
function buildEmptyEvidence(
planner: AssistantMcpDiscoveryPlannerContract,
dryRun: AssistantMcpDiscoveryRuntimeDryRunContract,
probeResults: AssistantMcpDiscoveryProbeResult[],
reason: string
): AssistantMcpDiscoveryEvidenceContract {
return resolveAssistantMcpDiscoveryEvidence({
plan: planner.discovery_plan,
probeResults,
unknownFacts: [reason],
queryLimitations: [reason],
recommendedNextProbe: dryRun.user_facing_fallback
});
}
export async function executeAssistantMcpDiscoveryPilot(
planner: AssistantMcpDiscoveryPlannerContract,
deps: AssistantMcpDiscoveryPilotExecutorDeps = DEFAULT_DEPS
): Promise<AssistantMcpDiscoveryPilotExecutionContract> {
const dryRun = buildAssistantMcpDiscoveryRuntimeDryRun(planner);
const reasonCodes = [...dryRun.reason_codes];
const executedPrimitives: string[] = [];
const skippedPrimitives: string[] = [];
const probeResults: AssistantMcpDiscoveryProbeResult[] = [];
const queryLimitations: string[] = [];
if (dryRun.adapter_status === "blocked") {
pushReason(reasonCodes, "pilot_blocked_before_mcp_execution");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "MCP discovery pilot was blocked before execution");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "blocked",
pilot_scope: "counterparty_lifecycle_query_documents_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["MCP discovery pilot was blocked before execution"],
reason_codes: reasonCodes
};
}
if (dryRun.adapter_status !== "dry_run_ready") {
pushReason(reasonCodes, "pilot_needs_clarification_before_mcp_execution");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "MCP discovery pilot needs more scope before execution");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "skipped_needs_clarification",
pilot_scope: "counterparty_lifecycle_query_documents_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["MCP discovery pilot needs more scope before execution"],
reason_codes: reasonCodes
};
}
const lifecyclePilotEligible = isLifecyclePilotEligible(planner);
const valueFlowPilotEligible = isValueFlowPilotEligible(planner);
if (!lifecyclePilotEligible && !valueFlowPilotEligible) {
pushReason(reasonCodes, "pilot_scope_unsupported_for_live_execution");
for (const step of dryRun.execution_steps) {
skippedPrimitives.push(step.primitive_id);
probeResults.push(skippedProbeResult(step, "pilot_scope_unsupported_for_live_execution"));
}
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "MCP discovery pilot scope is not implemented yet");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "unsupported",
pilot_scope: "counterparty_lifecycle_query_documents_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["MCP discovery pilot scope is not implemented yet"],
reason_codes: reasonCodes
};
}
const counterparty = firstEntityCandidate(planner);
const dateScope = toNonEmptyString(planner.discovery_plan.turn_meaning_ref?.explicit_date_scope);
const aggregationAxis = aggregationAxisForPlanner(planner);
if (valueFlowPilotEligible) {
let queryResult: AddressMcpQueryExecutorResult | null = null;
const filters = buildValueFlowFilters(planner);
const valueFlowProfile = valueFlowPilotProfile(planner);
if (valueFlowProfile.direction === "bidirectional_net_value_flow") {
let incomingResult: AddressMcpQueryExecutorResult | null = null;
let outgoingResult: AddressMcpQueryExecutorResult | null = null;
const incomingSelection = selectAddressRecipe("customer_revenue_and_payments", filters);
const outgoingSelection = selectAddressRecipe("supplier_payouts_profile", filters);
if (!incomingSelection.selected_recipe || !outgoingSelection.selected_recipe) {
pushReason(reasonCodes, "pilot_bidirectional_value_flow_recipe_not_available");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "Bidirectional value-flow recipes are not available");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "unsupported",
pilot_scope: valueFlowProfile.scope,
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["Bidirectional value-flow recipes are not available"],
reason_codes: reasonCodes
};
}
pushReason(reasonCodes, "pilot_bidirectional_value_flow_recipes_selected");
const incomingRecipePlan = buildAddressRecipePlan(incomingSelection.selected_recipe, filters);
const outgoingRecipePlan = buildAddressRecipePlan(outgoingSelection.selected_recipe, filters);
for (const step of dryRun.execution_steps) {
if (step.primitive_id !== "query_movements") {
skippedPrimitives.push(step.primitive_id);
probeResults.push(
skippedProbeResult(step, "pilot_bidirectional_value_flow_uses_two_query_movements_and_derives_net")
);
continue;
}
incomingResult = await deps.executeAddressMcpQuery({
query: incomingRecipePlan.query,
limit: incomingRecipePlan.limit,
account_scope: incomingRecipePlan.account_scope
});
outgoingResult = await deps.executeAddressMcpQuery({
query: outgoingRecipePlan.query,
limit: outgoingRecipePlan.limit,
account_scope: outgoingRecipePlan.account_scope
});
pushUnique(executedPrimitives, step.primitive_id);
probeResults.push(queryResultToProbeResult(step.primitive_id, incomingResult));
probeResults.push(queryResultToProbeResult(step.primitive_id, outgoingResult));
if (incomingResult.error) {
pushUnique(queryLimitations, incomingResult.error);
pushReason(reasonCodes, "pilot_bidirectional_incoming_query_movements_mcp_error");
}
if (outgoingResult.error) {
pushUnique(queryLimitations, outgoingResult.error);
pushReason(reasonCodes, "pilot_bidirectional_outgoing_query_movements_mcp_error");
}
if (!incomingResult.error || !outgoingResult.error) {
pushReason(reasonCodes, "pilot_bidirectional_query_movements_mcp_executed");
}
}
const sourceRowsSummary = summarizeBidirectionalValueFlowRows({ incomingResult, outgoingResult });
const derivedBidirectionalValueFlow = deriveBidirectionalValueFlow({
incomingResult,
outgoingResult,
counterparty,
periodScope: dateScope,
probeLimit: planner.discovery_plan.execution_budget.max_rows_per_probe,
aggregationAxis
});
if (derivedBidirectionalValueFlow) {
pushReason(reasonCodes, "pilot_derived_bidirectional_value_flow_from_confirmed_rows");
if (aggregationAxis === "month" && derivedBidirectionalValueFlow.monthly_breakdown.length > 0) {
pushReason(reasonCodes, "pilot_derived_bidirectional_monthly_breakdown_from_confirmed_rows");
}
}
const evidence = resolveAssistantMcpDiscoveryEvidence({
plan: planner.discovery_plan,
probeResults,
confirmedFacts: buildBidirectionalValueFlowConfirmedFacts(derivedBidirectionalValueFlow),
inferredFacts: buildBidirectionalValueFlowInferredFacts(derivedBidirectionalValueFlow),
unknownFacts: buildBidirectionalValueFlowUnknownFacts(dateScope, derivedBidirectionalValueFlow),
sourceRowsSummary,
queryLimitations,
recommendedNextProbe: "explain_evidence_basis"
});
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "executed",
pilot_scope: valueFlowProfile.scope,
dry_run: dryRun,
mcp_execution_performed: executedPrimitives.length > 0,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: sourceRowsSummary,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: derivedBidirectionalValueFlow,
query_limitations: queryLimitations,
reason_codes: reasonCodes
};
}
const recipeIntent = valueFlowProfile.recipe_intent;
const selection = recipeIntent ? selectAddressRecipe(recipeIntent, filters) : { selected_recipe: null };
if (!selection.selected_recipe) {
pushReason(reasonCodes, "pilot_value_flow_recipe_not_available");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "Value-flow recipe is not available");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "unsupported",
pilot_scope: valueFlowProfile.scope,
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["Value-flow recipe is not available"],
reason_codes: reasonCodes
};
}
pushReason(
reasonCodes,
valueFlowProfile.direction === "outgoing_supplier_payout"
? "pilot_supplier_payout_recipe_selected"
: "pilot_customer_revenue_recipe_selected"
);
const recipePlan = buildAddressRecipePlan(selection.selected_recipe, filters);
for (const step of dryRun.execution_steps) {
if (step.primitive_id !== "query_movements") {
skippedPrimitives.push(step.primitive_id);
probeResults.push(skippedProbeResult(step, "pilot_value_flow_uses_query_movements_and_derives_aggregate"));
continue;
}
queryResult = await deps.executeAddressMcpQuery({
query: recipePlan.query,
limit: recipePlan.limit,
account_scope: recipePlan.account_scope
});
executedPrimitives.push(step.primitive_id);
probeResults.push(queryResultToProbeResult(step.primitive_id, queryResult));
if (queryResult.error) {
pushUnique(queryLimitations, queryResult.error);
pushReason(reasonCodes, "pilot_query_movements_mcp_error");
} else {
pushReason(reasonCodes, "pilot_query_movements_mcp_executed");
}
}
const sourceRowsSummary = queryResult ? summarizeValueFlowRows(queryResult) : null;
const derivedValueFlow = deriveValueFlow(
queryResult,
counterparty,
dateScope,
valueFlowProfile.direction,
planner.discovery_plan.execution_budget.max_rows_per_probe,
aggregationAxis
);
if (derivedValueFlow) {
pushReason(reasonCodes, "pilot_derived_value_flow_from_confirmed_rows");
if (aggregationAxis === "month" && derivedValueFlow.monthly_breakdown.length > 0) {
pushReason(reasonCodes, "pilot_derived_value_flow_monthly_breakdown_from_confirmed_rows");
}
}
const evidence = resolveAssistantMcpDiscoveryEvidence({
plan: planner.discovery_plan,
probeResults,
confirmedFacts: queryResult ? buildValueFlowConfirmedFacts(queryResult, counterparty, valueFlowProfile.direction) : [],
inferredFacts: buildValueFlowInferredFacts(derivedValueFlow),
unknownFacts: buildValueFlowUnknownFacts(dateScope, valueFlowProfile.direction, derivedValueFlow),
sourceRowsSummary,
queryLimitations,
recommendedNextProbe: "explain_evidence_basis"
});
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "executed",
pilot_scope: valueFlowProfile.scope,
dry_run: dryRun,
mcp_execution_performed: executedPrimitives.length > 0,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: sourceRowsSummary,
derived_activity_period: null,
derived_value_flow: derivedValueFlow,
derived_bidirectional_value_flow: null,
query_limitations: queryLimitations,
reason_codes: reasonCodes
};
}
let queryResult: AddressMcpQueryExecutorResult | null = null;
const filters = buildLifecycleFilters(planner);
const selection = selectAddressRecipe("counterparty_activity_lifecycle", filters);
if (!selection.selected_recipe) {
pushReason(reasonCodes, "pilot_lifecycle_recipe_not_available");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "Lifecycle recipe is not available");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "unsupported",
pilot_scope: "counterparty_lifecycle_query_documents_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["Lifecycle recipe is not available"],
reason_codes: reasonCodes
};
}
const recipePlan = buildAddressRecipePlan(selection.selected_recipe, filters);
for (const step of dryRun.execution_steps) {
if (step.primitive_id !== "query_documents") {
skippedPrimitives.push(step.primitive_id);
probeResults.push(skippedProbeResult(step, "pilot_only_executes_query_documents"));
continue;
}
queryResult = await deps.executeAddressMcpQuery({
query: recipePlan.query,
limit: recipePlan.limit,
account_scope: recipePlan.account_scope
});
executedPrimitives.push(step.primitive_id);
probeResults.push(queryResultToProbeResult(step.primitive_id, queryResult));
if (queryResult.error) {
pushUnique(queryLimitations, queryResult.error);
pushReason(reasonCodes, "pilot_query_documents_mcp_error");
} else {
pushReason(reasonCodes, "pilot_query_documents_mcp_executed");
}
}
const sourceRowsSummary = queryResult ? summarizeLifecycleRows(queryResult) : null;
const derivedActivityPeriod = deriveActivityPeriod(queryResult);
if (derivedActivityPeriod) {
pushReason(reasonCodes, "pilot_derived_activity_period_from_confirmed_rows");
}
const evidence = resolveAssistantMcpDiscoveryEvidence({
plan: planner.discovery_plan,
probeResults,
confirmedFacts: queryResult ? buildLifecycleConfirmedFacts(queryResult, counterparty) : [],
inferredFacts: queryResult ? buildLifecycleInferredFacts(queryResult) : [],
unknownFacts: buildLifecycleUnknownFacts(),
sourceRowsSummary,
queryLimitations,
recommendedNextProbe: "explain_evidence_basis"
});
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "executed",
pilot_scope: "counterparty_lifecycle_query_documents_v1",
dry_run: dryRun,
mcp_execution_performed: executedPrimitives.length > 0,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: sourceRowsSummary,
derived_activity_period: derivedActivityPeriod,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: queryLimitations,
reason_codes: reasonCodes
};
}
export type AssistantMcpDiscoveryPilotMetadataResult = AddressMcpMetadataRowsResult;