ARCH: добить entity-resolution chain и очистить stale runtime

This commit is contained in:
dctouch 2026-04-22 12:53:48 +03:00
parent 007369a78a
commit ce48fa83a5
15 changed files with 2024 additions and 76 deletions

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@ -0,0 +1,44 @@
{
"schema_version": "domain_truth_harness_spec_v1",
"scenario_id": "address_truth_harness_phase25_entity_resolution_chain",
"domain": "address_phase25_entity_resolution_chain",
"title": "Phase 25 entity-resolution grounding replay",
"description": "Targeted AGENT replay for the first Big Block C slice where the assistant must use MCP discovery to ground a business entity in the checked 1C catalog and answer honestly without pretending that documents, movements, or value-flow evidence were already checked.",
"bindings": {},
"steps": [
{
"step_id": "step_01_resolve_counterparty_from_catalog",
"title": "Raw counterparty search wording resolves a grounded 1C entity without leaking downstream business facts",
"question": "найди в 1С контрагента Группа СВК",
"allowed_reply_types": [
"factual_with_explanation",
"partial_coverage"
],
"required_answer_patterns_all": [
"(?i)группа\\s+свк",
"(?i)контрагент",
"(?i)документ|движени|денежн"
],
"required_answer_patterns_any": [
"(?i)каталог",
"(?i)1с",
"(?i)наш[её]л",
"(?i)найден"
],
"forbidden_answer_patterns": [
"(?i)получили",
"(?i)заплатили",
"(?i)нетто",
"(?i)оборот",
"(?i)выручк",
"(?i)сумм(а|ы)"
],
"criticality": "critical",
"semantic_tags": [
"entity_resolution",
"catalog_grounding",
"bounded_autonomy"
]
}
]
}

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@ -73,6 +73,13 @@ function readAssistantMcpDiscoveryTurnMeaning(debug) {
const turnInput = toRecordObject(entry?.turn_input);
return toRecordObject(turnInput?.turn_meaning_ref);
}
function readAssistantMcpDiscoveryTurnMeaningMetadataAmbiguityEntitySets(debug, toNonEmptyString = fallbackToNonEmptyString) {
const values = readAssistantMcpDiscoveryTurnMeaning(debug)?.metadata_ambiguity_entity_sets;
if (!Array.isArray(values)) {
return [];
}
return values.map((item) => toNonEmptyString(item)).filter((item) => Boolean(item));
}
function readAssistantMcpDiscoveryActionFamily(debug, toNonEmptyString = fallbackToNonEmptyString) {
return toNonEmptyString(readAssistantMcpDiscoveryTurnMeaning(debug)?.asked_action_family);
}
@ -96,14 +103,15 @@ function readAssistantMcpDiscoveryMetadataSelectedEntitySet(debug, toNonEmptyStr
return toNonEmptyString(readAssistantMcpDiscoveryDerivedMetadataSurface(debug)?.selected_entity_set);
}
function readAssistantMcpDiscoveryMetadataAmbiguityDetected(debug) {
return readAssistantMcpDiscoveryDerivedMetadataSurface(debug)?.ambiguity_detected === true;
return (readAssistantMcpDiscoveryDerivedMetadataSurface(debug)?.ambiguity_detected === true ||
readAssistantMcpDiscoveryTurnMeaningMetadataAmbiguityEntitySets(debug).length > 0);
}
function readAssistantMcpDiscoveryMetadataAmbiguityEntitySets(debug, toNonEmptyString = fallbackToNonEmptyString) {
const values = readAssistantMcpDiscoveryDerivedMetadataSurface(debug)?.ambiguity_entity_sets;
if (!Array.isArray(values)) {
return [];
}
if (Array.isArray(values)) {
return values.map((item) => toNonEmptyString(item)).filter((item) => Boolean(item));
}
return readAssistantMcpDiscoveryTurnMeaningMetadataAmbiguityEntitySets(debug, toNonEmptyString);
}
function mapAssistantMcpDiscoveryPilotScopeToAddressIntent(pilotScope, actionFamily) {
if (pilotScope === "counterparty_lifecycle_query_documents_v1") {

View File

@ -51,6 +51,11 @@ function modeFor(pilot) {
if (pilot.pilot_status === "skipped_needs_clarification") {
return "needs_clarification";
}
if (pilot.pilot_scope === "entity_resolution_search_v1" &&
(pilot.reason_codes.includes("pilot_entity_resolution_ambiguity_requires_clarification") ||
pilot.derived_entity_resolution?.resolution_status === "ambiguous")) {
return "needs_clarification";
}
if (pilot.evidence.answer_permission === "confirmed_answer") {
return "confirmed_with_bounded_inference";
}
@ -73,10 +78,91 @@ function isMovementPilot(pilot) {
function isMetadataPilot(pilot) {
return pilot.pilot_scope === "metadata_inspection_v1";
}
function isEntityResolutionPilot(pilot) {
return pilot.pilot_scope === "entity_resolution_search_v1";
}
function isMetadataLaneChoiceClarification(pilot) {
return (pilot.reason_codes.includes("planner_selected_metadata_lane_clarification_recipe") ||
pilot.dry_run.reason_codes.includes("planner_selected_metadata_lane_clarification_recipe"));
}
function askedActionFamily(pilot) {
const action = pilot.evidence.query_plan.turn_meaning_ref?.asked_action_family;
if (typeof action !== "string") {
return null;
}
const normalized = action.trim().toLowerCase();
return normalized.length > 0 ? normalized : null;
}
function unsupportedFamily(pilot) {
const unsupported = pilot.evidence.query_plan.turn_meaning_ref?.unsupported_but_understood_family;
if (typeof unsupported !== "string") {
return null;
}
const normalized = unsupported.trim().toLowerCase();
return normalized.length > 0 ? normalized : null;
}
function firstEntityCandidate(pilot) {
const values = Array.isArray(pilot.evidence.query_plan.turn_meaning_ref?.explicit_entity_candidates)
? pilot.evidence.query_plan.turn_meaning_ref?.explicit_entity_candidates
: [];
for (const value of values) {
const text = String(value ?? "").trim();
if (text) {
return text;
}
}
return null;
}
function isMovementLaneClarification(pilot) {
return (isMovementPilot(pilot) ||
pilot.reason_codes.includes("planner_selected_movement_recipe") ||
pilot.dry_run.reason_codes.includes("planner_selected_movement_recipe") ||
askedActionFamily(pilot) === "list_movements" ||
unsupportedFamily(pilot) === "movement_evidence");
}
function isDocumentLaneClarification(pilot) {
return (isDocumentPilot(pilot) ||
pilot.reason_codes.includes("planner_selected_document_recipe") ||
pilot.dry_run.reason_codes.includes("planner_selected_document_recipe") ||
askedActionFamily(pilot) === "list_documents" ||
unsupportedFamily(pilot) === "document_evidence");
}
function laneScopeSuffix(pilot) {
const entity = firstEntityCandidate(pilot);
return entity ? ` по "${entity}"` : "";
}
function dryRunMissingAxis(pilot, axis) {
return pilot.dry_run.execution_steps.some((step) => step.missing_axis_options.some((option) => option.includes(axis)));
}
function clarificationNeedRu(pilot) {
const needsPeriod = dryRunMissingAxis(pilot, "period");
const needsOrganization = dryRunMissingAxis(pilot, "organization");
if (needsPeriod && needsOrganization) {
return { subject: "проверяемый период и организацию", verb: "нужно" };
}
if (needsPeriod) {
return { subject: "проверяемый период", verb: "нужен" };
}
if (needsOrganization) {
return { subject: "организацию", verb: "нужно" };
}
return { subject: "контекст проверки", verb: "нужно" };
}
function clarificationNextStepLine(pilot, laneLabel) {
const needsPeriod = dryRunMissingAxis(pilot, "period");
const needsOrganization = dryRunMissingAxis(pilot, "organization");
const scopeSuffix = laneScopeSuffix(pilot);
if (needsPeriod && needsOrganization) {
return `Уточните период и организацию, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
if (needsPeriod) {
return `Уточните период, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
if (needsOrganization) {
return `Уточните организацию, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
return `Уточните контекст проверки, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
function metadataRouteFamilyLabelRu(routeFamily) {
if (routeFamily === "document_evidence") {
return "контур документов";
@ -92,6 +178,17 @@ function metadataRouteFamilyLabelRu(routeFamily) {
function headlineFor(mode, pilot) {
const askedMonthlyBreakdown = pilot.derived_bidirectional_value_flow?.aggregation_axis === "month" ||
pilot.derived_value_flow?.aggregation_axis === "month";
if (isEntityResolutionPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "По каталогу 1С найден вероятный контрагент; это заземление сущности для следующего шага, а не еще бизнес-ответ по данным.";
}
if (isEntityResolutionPilot(pilot) && mode === "needs_clarification") {
return "По каталогу 1С нашлось несколько похожих контрагентов, и без уточнения нельзя честно выбрать правильную сущность.";
}
if (isEntityResolutionPilot(pilot) &&
mode === "checked_sources_only" &&
pilot.derived_entity_resolution?.resolution_status === "not_found") {
return "По текущему каталожному поиску 1С точный контрагент пока не подтвержден.";
}
if (isMovementPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "По данным 1С найдены строки движений; ответ ограничен проверенным периодом и найденными строками.";
}
@ -134,8 +231,13 @@ function headlineFor(mode, pilot) {
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "По подтвержденной metadata-поверхности видно несколько конкурирующих data-lane, и без явного выбора дальше идти нельзя.";
}
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "Уточните, в какой контур идти дальше: по документам или по движениям/регистрам.";
if (mode === "needs_clarification" && isMovementLaneClarification(pilot)) {
const need = clarificationNeedRu(pilot);
return `Могу идти дальше по движениям/регистрам${laneScopeSuffix(pilot)}, но для запуска поиска в 1С ${need.verb} ${need.subject}.`;
}
if (mode === "needs_clarification" && isDocumentLaneClarification(pilot)) {
const need = clarificationNeedRu(pilot);
return `Могу идти дальше по документам${laneScopeSuffix(pilot)}, но для запуска поиска в 1С ${need.verb} ${need.subject}.`;
}
if (mode === "needs_clarification") {
return "Нужно уточнить контекст перед поиском в 1С.";
@ -146,9 +248,26 @@ function headlineFor(mode, pilot) {
return "Я проверил доступный контур, но подтвержденного факта для ответа не получил.";
}
function nextStepFor(mode, pilot) {
if (isEntityResolutionPilot(pilot) && mode === "needs_clarification") {
return "Уточните точное название контрагента или добавьте ИНН, и я продолжу уже по нужной сущности в 1С.";
}
if (isEntityResolutionPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "Теперь могу продолжить уже по найденному контрагенту и искать документы, движения или денежный поток.";
}
if (isEntityResolutionPilot(pilot) &&
mode === "checked_sources_only" &&
pilot.derived_entity_resolution?.resolution_status === "not_found") {
return "Дайте точное название или ИНН, и я повторю поиск по каталогу 1С более прицельно.";
}
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "Уточните, в какой контур идти дальше: по документам или по движениям/регистрам.";
}
if (mode === "needs_clarification" && isMovementLaneClarification(pilot)) {
return clarificationNextStepLine(pilot, "движениям/регистрам");
}
if (mode === "needs_clarification" && isDocumentLaneClarification(pilot)) {
return clarificationNextStepLine(pilot, "документам");
}
if (mode === "needs_clarification") {
return "Уточните контрагента, период или организацию, и я смогу выполнить проверку по 1С.";
}
@ -196,6 +315,11 @@ function buildMustNotClaim(pilot) {
claims.push("Do not claim a document/register exists outside the checked metadata probe results.");
claims.push("Do not present the inferred next checked lane as already executed data retrieval.");
}
if (isEntityResolutionPilot(pilot)) {
claims.push("Do not present catalog grounding as confirmed business activity, turnover, or document evidence.");
claims.push("Do not claim legal identity uniqueness when several catalog candidates are still plausible.");
claims.push("Do not imply that the resolved entity has already been used in a downstream data probe.");
}
if (pilot.evidence.confirmed_facts.length === 0) {
claims.push("Do not claim a confirmed business fact when confirmed_facts is empty.");
}
@ -279,6 +403,32 @@ function derivedMetadataInferenceLine(pilot) {
}
return `По подтвержденной metadata-поверхности следующий проверяемый шаг можно ограниченно оценить как ${routeLabel} через family «${surface.selected_entity_set}». Это еще не выполненный data-fetch, а только grounded выбор следующего контура.`;
}
function derivedEntityResolutionConfirmedLine(pilot) {
const resolution = pilot.derived_entity_resolution;
if (!resolution || resolution.resolution_status !== "resolved" || !resolution.resolved_entity) {
return null;
}
const requested = resolution.requested_entity ? ` по запросу "${resolution.requested_entity}"` : "";
const confidence = resolution.confidence === "high"
? " Точность совпадения выглядит высокой."
: resolution.confidence === "medium"
? " Совпадение выглядит достаточно сильным, но это все еще catalog grounding."
: " Совпадение выглядит вероятным, но его лучше считать рабочим заземлением сущности.";
return `В текущем каталожном срезе 1С${requested} найден контрагент "${resolution.resolved_entity}".${confidence}`;
}
function derivedEntityResolutionInferenceLine(pilot) {
const resolution = pilot.derived_entity_resolution;
if (!resolution) {
return null;
}
if (resolution.resolution_status === "resolved") {
return "Сейчас подтверждено только заземление сущности по каталогу 1С; документы, движения и денежные показатели по ней еще не проверялись.";
}
if (resolution.resolution_status === "ambiguous" && resolution.ambiguity_candidates.length > 0) {
return `В checked catalog slice есть несколько близких кандидатов: ${resolution.ambiguity_candidates.join(", ")}. Без уточнения нельзя честно выбрать одного контрагента для следующего шага.`;
}
return null;
}
function derivedValueFlowConfirmedLine(pilot) {
const flow = pilot.derived_value_flow;
if (!flow) {
@ -365,11 +515,14 @@ function buildAssistantMcpDiscoveryAnswerDraft(pilot) {
if (pilot.evidence.inferred_facts.length > 0) {
pushReason(reasonCodes, "answer_contains_bounded_inference");
}
const derivedInferenceLine = derivedActivityInferenceLine(pilot) ?? derivedMetadataInferenceLine(pilot);
const derivedInferenceLine = derivedActivityInferenceLine(pilot) ??
derivedMetadataInferenceLine(pilot) ??
derivedEntityResolutionInferenceLine(pilot);
const inferenceLines = derivedInferenceLine
? [derivedInferenceLine]
: pilot.evidence.inferred_facts;
const derivedMetadataLine = derivedMetadataConfirmedLine(pilot);
const derivedEntityResolutionLine = derivedEntityResolutionConfirmedLine(pilot);
const derivedValueLine = derivedBidirectionalValueFlowConfirmedLine(pilot) ?? derivedValueFlowConfirmedLine(pilot);
const monthlyConfirmedLines = derivedBidirectionalValueFlowMonthlyLines(pilot).length > 0
? derivedBidirectionalValueFlowMonthlyLines(pilot)
@ -379,6 +532,8 @@ function buildAssistantMcpDiscoveryAnswerDraft(pilot) {
}
const confirmedLines = derivedValueLine
? [...pilot.evidence.confirmed_facts, derivedValueLine, ...monthlyConfirmedLines]
: derivedEntityResolutionLine
? [...pilot.evidence.confirmed_facts, derivedEntityResolutionLine]
: derivedMetadataLine
? [...pilot.evidence.confirmed_facts, derivedMetadataLine]
: pilot.evidence.confirmed_facts;

View File

@ -11,6 +11,40 @@ const DEFAULT_DEPS = {
executeAddressMcpQuery: addressMcpClient_1.executeAddressMcpQuery,
executeAddressMcpMetadata: addressMcpClient_1.executeAddressMcpMetadata
};
const ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT = 1000;
const ENTITY_RESOLUTION_COUNTERPARTY_QUERY_TEMPLATE = `
ВЫБРАТЬ ПЕРВЫЕ __LIMIT__
ПРЕДСТАВЛЕНИЕ(Контрагенты.Ссылка) КАК Контрагент,
ПРЕДСТАВЛЕНИЕ(Контрагенты.Ссылка) КАК Counterparty,
Контрагенты.Ссылка КАК КонтрагентСсылка,
Контрагенты.Ссылка КАК CounterpartyRef,
Контрагенты.Наименование КАК Наименование
ИЗ
Справочник.Контрагенты КАК Контрагенты
`;
const ENTITY_RESOLUTION_STOPWORDS = new Set([
"ооо",
"ао",
"зао",
"ип",
"llc",
"ltd",
"company",
"контрагент",
"counterparty",
"поставщик",
"supplier",
"клиент",
"customer",
"в",
"1с",
"1c",
"найди",
"найти",
"поищи",
"search",
"find"
]);
function toNonEmptyString(value) {
if (value === null || value === undefined) {
return null;
@ -99,7 +133,149 @@ function buildValueFlowFilters(planner) {
sort: "period_asc"
};
}
function normalizeEntityResolutionText(value) {
return String(value ?? "")
.toLowerCase()
.replace(/ё/g, "е")
.replace(/[«»"'`]/g, " ")
.replace(/[^\p{L}\p{N}\s-]+/gu, " ")
.replace(/\s+/g, " ")
.trim();
}
function tokenizeEntityResolutionText(value) {
return normalizeEntityResolutionText(value)
.split(" ")
.map((token) => token.trim())
.filter((token) => token.length >= 2 && !ENTITY_RESOLUTION_STOPWORDS.has(token));
}
function isLowQualityEntityResolutionAnchor(value) {
return tokenizeEntityResolutionText(value).length <= 0;
}
function entityResolutionCandidateName(row) {
const candidates = [
row["Контрагент"],
row["Counterparty"],
row["Наименование"],
row["name"],
row["Name"],
row["registrator"],
row["Registrator"]
];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
if (text) {
return text;
}
}
return null;
}
function entityResolutionCandidateRef(row) {
const candidates = [row["КонтрагентСсылка"], row["CounterpartyRef"], row["ref"], row["Ref"]];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
if (text) {
return text;
}
}
return null;
}
function scoreEntityResolutionCandidate(name, requested) {
const normalizedName = normalizeEntityResolutionText(name);
const normalizedRequested = normalizeEntityResolutionText(requested);
const requestedTokens = tokenizeEntityResolutionText(requested);
if (!normalizedName || !normalizedRequested || requestedTokens.length <= 0) {
return null;
}
let score = 0;
if (normalizedName === normalizedRequested) {
score += 10_000;
}
else if (normalizedName.includes(normalizedRequested)) {
score += 5_000;
}
else if (normalizedRequested.includes(normalizedName) && normalizedName.length >= 4) {
score += 2_000;
}
for (const token of requestedTokens) {
if (!normalizedName.includes(token)) {
return null;
}
score += Math.max(40, token.length * 20);
}
score -= Math.abs(normalizedName.length - normalizedRequested.length);
return score;
}
function deriveEntityResolution(result, requestedEntity) {
if (!result || result.error || !requestedEntity) {
return null;
}
const checkedCandidates = uniqueCandidateStrings(result.raw_rows
.map((row) => entityResolutionCandidateName(row))
.filter((value) => Boolean(value)));
const scoredCandidates = checkedCandidates
.map((name) => {
const score = scoreEntityResolutionCandidate(name, requestedEntity);
return score === null ? null : { name, score };
})
.filter((value) => Boolean(value))
.sort((left, right) => right.score - left.score || left.name.length - right.name.length || left.name.localeCompare(right.name, "ru"));
if (scoredCandidates.length <= 0) {
return {
requested_entity: requestedEntity,
resolution_status: "not_found",
resolved_entity: null,
resolved_reference: null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: [],
confidence: null,
inference_basis: "catalog_counterparty_search_rows"
};
}
const bestCandidate = scoredCandidates[0];
const bestNormalized = normalizeEntityResolutionText(bestCandidate.name);
const requestedNormalized = normalizeEntityResolutionText(requestedEntity);
const requestedTokens = tokenizeEntityResolutionText(requestedEntity);
const exactMatch = bestNormalized === requestedNormalized;
const strongContains = requestedTokens.length > 1 && bestNormalized.includes(requestedNormalized);
const topCandidates = scoredCandidates.filter((candidate) => candidate.score === bestCandidate.score);
if (topCandidates.length > 1 && !exactMatch && !strongContains) {
return {
requested_entity: requestedEntity,
resolution_status: "ambiguous",
resolved_entity: null,
resolved_reference: null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: topCandidates.map((candidate) => candidate.name).slice(0, 6),
confidence: "low",
inference_basis: "catalog_counterparty_search_rows"
};
}
const matchedRow = result.raw_rows.find((row) => normalizeEntityResolutionText(entityResolutionCandidateName(row)) === bestNormalized) ?? null;
return {
requested_entity: requestedEntity,
resolution_status: "resolved",
resolved_entity: bestCandidate.name,
resolved_reference: matchedRow ? entityResolutionCandidateRef(matchedRow) : null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: [],
confidence: exactMatch ? "high" : strongContains ? "medium" : "low",
inference_basis: "catalog_counterparty_search_rows"
};
}
function uniqueCandidateStrings(values) {
const result = [];
for (const value of values) {
pushUnique(result, value);
}
return result;
}
function isLifecyclePilotEligible(planner) {
if (planner.selected_chain_id === "lifecycle") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -108,6 +284,9 @@ function isLifecyclePilotEligible(planner) {
(combined.includes("lifecycle") || combined.includes("activity") || combined.includes("duration") || combined.includes("age")));
}
function isDocumentEvidencePilotEligible(planner) {
if (planner.selected_chain_id === "document_evidence") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -117,6 +296,9 @@ function isDocumentEvidencePilotEligible(planner) {
(combined.includes("document") || combined.includes("list_documents")));
}
function isMovementEvidencePilotEligible(planner) {
if (planner.selected_chain_id === "movement_evidence") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -131,6 +313,9 @@ function isMovementEvidencePilotEligible(planner) {
combined.includes("list_movements")));
}
function isValueFlowPilotEligible(planner) {
if (planner.selected_chain_id === "value_flow") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -144,6 +329,10 @@ function isValueFlowPilotEligible(planner) {
combined.includes("value")));
}
function isMetadataPilotEligible(planner) {
if (planner.selected_chain_id === "metadata_inspection" ||
planner.selected_chain_id === "metadata_lane_clarification") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -158,6 +347,22 @@ function isMetadataPilotEligible(planner) {
combined.includes("inspect_registers") ||
combined.includes("inspect_fields")));
}
function isEntityResolutionPilotEligible(planner) {
if (planner.selected_chain_id === "entity_resolution") {
return true;
}
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 semanticNeed = String(planner.semantic_data_need ?? "").toLowerCase();
const combined = `${domain} ${action} ${unsupported} ${semanticNeed}`;
return (planner.proposed_primitives.includes("search_business_entity") &&
(combined.includes("entity_resolution") ||
combined.includes("search_business_entity") ||
combined.includes("entity discovery") ||
combined.includes("counterparty search")));
}
function metadataScopeForPlanner(planner) {
const entityCandidate = firstEntityCandidate(planner);
if (entityCandidate) {
@ -441,6 +646,15 @@ function summarizeMetadataRows(result) {
}
return `${result.fetched_rows} MCP metadata rows fetched`;
}
function summarizeEntityResolutionRows(result) {
if (result.error) {
return null;
}
if (result.fetched_rows <= 0) {
return "0 MCP catalog rows fetched";
}
return `${result.fetched_rows} MCP catalog rows fetched for entity search`;
}
function metadataRowText(row, keys) {
for (const key of keys) {
const text = toNonEmptyString(row[key]);
@ -475,6 +689,18 @@ function metadataEntitySet(row) {
"kind"
]);
}
function inferMetadataEntitySetFromObjectName(objectName) {
const text = String(objectName ?? "").trim();
if (!text) {
return null;
}
const dotIndex = text.indexOf(".");
if (dotIndex <= 0) {
return null;
}
const entitySet = text.slice(0, dotIndex).trim();
return entitySet.length > 0 ? entitySet : null;
}
function metadataChildNames(value) {
if (!Array.isArray(value)) {
return [];
@ -604,7 +830,7 @@ function deriveMetadataSurface(result, metadataScope, requestedMetaTypes) {
if (objectName) {
pushUnique(matchedObjects, objectName);
}
const entitySet = metadataEntitySet(row);
const entitySet = metadataEntitySet(row) ?? inferMetadataEntitySetFromObjectName(objectName);
if (entitySet) {
pushUnique(availableEntitySets, entitySet);
}
@ -678,6 +904,53 @@ function buildMetadataUnknownFacts(surface, metadataScope) {
}
return ["No matching 1C metadata objects were confirmed by this MCP metadata probe"];
}
function buildEntityResolutionConfirmedFacts(resolution) {
if (!resolution || resolution.resolution_status !== "resolved" || !resolution.resolved_entity) {
return [];
}
if (resolution.requested_entity && normalizeEntityResolutionText(resolution.requested_entity) === normalizeEntityResolutionText(resolution.resolved_entity)) {
return [`В проверенном каталожном срезе 1С найден контрагент: ${resolution.resolved_entity}`];
}
return [
`В проверенном каталожном срезе 1С найден наиболее вероятный контрагент: ${resolution.resolved_entity}`
];
}
function buildEntityResolutionInferredFacts(resolution) {
if (!resolution) {
return [];
}
if (resolution.resolution_status === "resolved") {
const facts = ["Пока проверено только заземление сущности по каталогу 1С; документы, движения и денежные показатели еще не проверялись"];
if (resolution.requested_entity && resolution.resolved_entity) {
const requestedNormalized = normalizeEntityResolutionText(resolution.requested_entity);
const resolvedNormalized = normalizeEntityResolutionText(resolution.resolved_entity);
if (requestedNormalized !== resolvedNormalized) {
facts.push("Контрагент выбран как ближайшее подтвержденное совпадение имени в проверенном каталоге 1С");
}
}
return facts;
}
if (resolution.resolution_status === "ambiguous") {
return ["В проверенном каталожном срезе осталось несколько близких кандидатов, поэтому точного контрагента в 1С еще нужно уточнить"];
}
return [];
}
function buildEntityResolutionUnknownFacts(resolution, requestedEntity) {
if (!resolution) {
return ["По проверенному каталожному поиску 1С не удалось заземлить сущность контрагента"];
}
const unknownFacts = ["Документы, движения и денежные показатели по этому контрагенту еще не проверялись; пока был только каталожный поиск"];
if (resolution.resolution_status === "ambiguous" && resolution.ambiguity_candidates.length > 0) {
unknownFacts.unshift(`Точное заземление контрагента в 1С остается неоднозначным между вариантами: ${resolution.ambiguity_candidates.join(", ")}`);
return unknownFacts;
}
if (resolution.resolution_status === "not_found") {
unknownFacts.unshift(requestedEntity
? `В проверенном каталожном срезе 1С не подтвержден контрагент с именем "${requestedEntity}"`
: "В проверенном каталожном срезе 1С не подтвержден подходящий контрагент");
}
return unknownFacts;
}
function rowDateValue(row) {
const candidates = [
row["Период"],
@ -1149,19 +1422,24 @@ function buildEmptyEvidence(planner, dryRun, probeResults, reason) {
});
}
function pilotScopeForPlanner(planner) {
if (isMetadataPilotEligible(planner)) {
switch (planner.selected_chain_id) {
case "metadata_lane_clarification":
case "metadata_inspection":
return "metadata_inspection_v1";
}
if (isMovementEvidencePilotEligible(planner)) {
case "movement_evidence":
return "counterparty_movement_evidence_query_movements_v1";
}
if (isValueFlowPilotEligible(planner)) {
case "value_flow":
return valueFlowPilotProfile(planner).scope;
}
if (isDocumentEvidencePilotEligible(planner)) {
case "document_evidence":
return "counterparty_document_evidence_query_documents_v1";
}
case "lifecycle":
return "counterparty_lifecycle_query_documents_v1";
case "entity_resolution":
return "entity_resolution_search_v1";
}
}
function isLivePilotChainSupported(chainId) {
return true;
}
async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
const runtimeDeps = {
@ -1191,6 +1469,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1214,6 +1493,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1226,7 +1506,15 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
const movementPilotEligible = isMovementEvidencePilotEligible(planner);
const lifecyclePilotEligible = isLifecyclePilotEligible(planner);
const valueFlowPilotEligible = isValueFlowPilotEligible(planner);
if (!metadataPilotEligible && !documentPilotEligible && !movementPilotEligible && !lifecyclePilotEligible && !valueFlowPilotEligible) {
const entityResolutionPilotEligible = isEntityResolutionPilotEligible(planner);
const livePilotChainSupported = isLivePilotChainSupported(planner.selected_chain_id);
if (!livePilotChainSupported ||
(!metadataPilotEligible &&
!documentPilotEligible &&
!movementPilotEligible &&
!lifecyclePilotEligible &&
!valueFlowPilotEligible &&
!entityResolutionPilotEligible)) {
pushReason(reasonCodes, "pilot_scope_unsupported_for_live_execution");
for (const step of dryRun.execution_steps) {
skippedPrimitives.push(step.primitive_id);
@ -1246,6 +1534,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1309,6 +1598,96 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: derivedMetadataSurface,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: queryLimitations,
reason_codes: reasonCodes
};
}
if (entityResolutionPilotEligible) {
let queryResult = null;
const requestedEntity = counterparty;
if (isLowQualityEntityResolutionAnchor(requestedEntity)) {
pushReason(reasonCodes, "pilot_entity_resolution_anchor_missing_or_low_quality");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "Entity-resolution needs a clearer counterparty name");
return {
schema_version: exports.ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "skipped_needs_clarification",
pilot_scope: "entity_resolution_search_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["Entity-resolution needs a clearer counterparty name"],
reason_codes: reasonCodes
};
}
for (const step of dryRun.execution_steps) {
if (step.primitive_id !== "search_business_entity") {
skippedPrimitives.push(step.primitive_id);
probeResults.push(skippedProbeResult(step, "pilot_only_executes_search_business_entity"));
continue;
}
queryResult = await runtimeDeps.executeAddressMcpQuery({
query: ENTITY_RESOLUTION_COUNTERPARTY_QUERY_TEMPLATE.replaceAll("__LIMIT__", String(ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT)),
limit: ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT
});
pushUnique(executedPrimitives, step.primitive_id);
probeResults.push(queryResultToProbeResult(step.primitive_id, queryResult));
if (queryResult.error) {
pushUnique(queryLimitations, queryResult.error);
pushReason(reasonCodes, "pilot_search_business_entity_mcp_error");
}
else {
pushReason(reasonCodes, "pilot_search_business_entity_mcp_executed");
}
}
const sourceRowsSummary = queryResult ? summarizeEntityResolutionRows(queryResult) : null;
const derivedEntityResolution = deriveEntityResolution(queryResult, requestedEntity);
if (derivedEntityResolution?.resolution_status === "resolved") {
pushReason(reasonCodes, "pilot_derived_entity_resolution_from_catalog_rows");
}
if (derivedEntityResolution?.resolution_status === "ambiguous") {
pushReason(reasonCodes, "pilot_entity_resolution_ambiguity_requires_clarification");
}
if (derivedEntityResolution?.resolution_status === "not_found") {
pushReason(reasonCodes, "pilot_entity_resolution_not_found_in_checked_catalog");
}
const evidence = (0, assistantMcpDiscoveryPolicy_1.resolveAssistantMcpDiscoveryEvidence)({
plan: planner.discovery_plan,
probeResults,
confirmedFacts: buildEntityResolutionConfirmedFacts(derivedEntityResolution),
inferredFacts: buildEntityResolutionInferredFacts(derivedEntityResolution),
unknownFacts: buildEntityResolutionUnknownFacts(derivedEntityResolution, requestedEntity),
sourceRowsSummary,
queryLimitations,
recommendedNextProbe: "resolve_entity_reference"
});
return {
schema_version: exports.ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "executed",
pilot_scope: "entity_resolution_search_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_metadata_surface: null,
derived_entity_resolution: derivedEntityResolution,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1336,6 +1715,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1389,6 +1769,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1416,6 +1797,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1469,6 +1851,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1501,6 +1884,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1593,6 +1977,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: derivedBidirectionalValueFlow,
@ -1618,6 +2003,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1690,6 +2076,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: derivedValueFlow,
derived_bidirectional_value_flow: null,
@ -1716,6 +2103,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1773,6 +2161,7 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: derivedActivityPeriod,
derived_value_flow: null,
derived_bidirectional_value_flow: null,

View File

@ -86,6 +86,8 @@ function recipeFor(input) {
pushUnique(axes, "lane_family_choice");
return {
semanticDataNeed: "metadata lane clarification",
chainId: "metadata_lane_clarification",
chainSummary: "Preserve the ambiguous metadata surface and ask the user to choose the next data lane before running MCP probes.",
primitives: [],
axes,
reason: "planner_selected_metadata_lane_clarification_recipe"
@ -100,6 +102,8 @@ function recipeFor(input) {
}
return {
semanticDataNeed: "counterparty value-flow evidence",
chainId: "value_flow",
chainSummary: "Resolve the business entity, query scoped movements, aggregate checked amounts, then probe coverage before answering.",
primitives: ["resolve_entity_reference", "query_movements", "aggregate_by_axis", "probe_coverage"],
axes,
reason: requestedAggregationAxis === "month"
@ -113,6 +117,8 @@ function recipeFor(input) {
pushUnique(axes, "evidence_basis");
return {
semanticDataNeed: "counterparty lifecycle evidence",
chainId: "lifecycle",
chainSummary: "Resolve the business entity, query supporting documents, probe coverage, then explain the evidence basis for the inferred activity window.",
primitives: ["resolve_entity_reference", "query_documents", "probe_coverage", "explain_evidence_basis"],
axes,
reason: "planner_selected_lifecycle_recipe"
@ -122,6 +128,8 @@ function recipeFor(input) {
pushUnique(axes, "metadata_scope");
return {
semanticDataNeed: "1C metadata evidence",
chainId: "metadata_inspection",
chainSummary: "Inspect the 1C metadata surface first, then ground the next safe lane from confirmed schema evidence.",
primitives: ["inspect_1c_metadata"],
axes,
reason: "planner_selected_metadata_recipe"
@ -131,6 +139,8 @@ function recipeFor(input) {
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "movement evidence",
chainId: "movement_evidence",
chainSummary: "Resolve the business entity, fetch scoped movement rows, and probe coverage without pretending to have a full movement universe.",
primitives: ["resolve_entity_reference", "query_movements", "probe_coverage"],
axes,
reason: "planner_selected_movement_recipe"
@ -140,6 +150,8 @@ function recipeFor(input) {
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "document evidence",
chainId: "document_evidence",
chainSummary: "Resolve the business entity, fetch scoped document rows, and probe coverage before stating the checked document evidence.",
primitives: ["resolve_entity_reference", "query_documents", "probe_coverage"],
axes,
reason: "planner_selected_document_recipe"
@ -147,8 +159,11 @@ function recipeFor(input) {
}
if (hasEntity(meaning)) {
pushUnique(axes, "business_entity");
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "entity discovery evidence",
chainId: "entity_resolution",
chainSummary: "Search candidate business entities, resolve the most relevant 1C reference, and prove whether the entity grounding is stable enough for the next probe.",
primitives: ["search_business_entity", "resolve_entity_reference", "probe_coverage"],
axes,
reason: "planner_selected_entity_resolution_recipe"
@ -156,6 +171,8 @@ function recipeFor(input) {
}
return {
semanticDataNeed: "unclassified 1C discovery need",
chainId: "metadata_inspection",
chainSummary: "Start with metadata inspection instead of guessing a deeper fact route when the business need is still under-specified.",
primitives: ["inspect_1c_metadata"],
axes,
reason: "planner_selected_clarification_recipe"
@ -202,6 +219,8 @@ function planAssistantMcpDiscovery(input) {
policy_owner: "assistantMcpDiscoveryPlanner",
planner_status: plannerStatus,
semantic_data_need: semanticDataNeed,
selected_chain_id: recipe.chainId,
selected_chain_summary: recipe.chainSummary,
proposed_primitives: recipe.primitives,
required_axes: recipe.axes,
discovery_plan: plan,

View File

@ -79,6 +79,7 @@ function normalizeTurnMeaning(value) {
const dateScope = toNonEmptyString(value.explicit_date_scope);
const unsupported = toNonEmptyString(value.unsupported_but_understood_family);
const entities = toStringList(value.explicit_entity_candidates);
const metadataAmbiguityEntitySets = toStringList(value.metadata_ambiguity_entity_sets);
if (domain) {
result.asked_domain_family = domain;
}
@ -91,6 +92,9 @@ function normalizeTurnMeaning(value) {
if (entities.length > 0) {
result.explicit_entity_candidates = entities;
}
if (metadataAmbiguityEntitySets.length > 0) {
result.metadata_ambiguity_entity_sets = metadataAmbiguityEntitySets;
}
if (organization) {
result.explicit_organization_scope = organization;
}

View File

@ -36,6 +36,22 @@ function pushUnique(target, value) {
target.push(text);
}
}
function canonicalizeEntityResolutionCandidate(value) {
return normalizeEntityResolutionCandidate(value)
.replace(/^(?:\u0441\s+\u043d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435\u043c\s+)/iu, "")
.replace(/\s+(?:\u0432\s+\u0441\u0438\u0441\u0442\u0435\u043c\u0435\s*1\u0421|\u0432\s+1c|in\s+(?:the\s+)?1c\s+system|in\s+1c)\s*$/iu, "")
.trim();
}
function pushNormalizedEntityResolutionCandidate(target, value) {
const text = toNonEmptyString(value);
if (!text) {
return;
}
const normalized = canonicalizeEntityResolutionCandidate(text);
if (normalized && !target.includes(normalized)) {
target.push(normalized);
}
}
function compactLower(value) {
return String(value ?? "")
.toLowerCase()
@ -263,11 +279,11 @@ function hasMetadataSignal(text) {
if (/(?:\u043c\u0435\u0442\u0430\u0434\u0430\u043d|schema|catalog|metadata\s+surface|\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440[\u0430\u044b]\s+1\u0441|\u0441\u0445\u0435\u043c[\u0430\u044b]\s+1\u0441)/iu.test(text)) {
return true;
}
return (/(?:\u0440\u0435\u0433\u0438\u0441\u0442\u0440\u044b|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438|\u043f\u043e\u043b(?:\u0435|\u044f)|registers?|documents?|catalogs?|fields?)/iu.test(text) &&
/(?:\u0435\u0441\u0442\u044c|\u0434\u043e\u0441\u0442\u0443\u043f\u043d|\u0432\s+1\u0441|available|exist)/iu.test(text));
return (/(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|\u0440\u0435\u0433\u0438\u0441\u0442\u0440\u044b|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438|\u043f\u043e\u043b(?:\u0435|\u044f)|objects?|registers?|documents?|catalogs?|fields?)/iu.test(text) &&
/(?:\u0435\u0441\u0442\u044c|\u043a\u0430\u043a\u0438\u0435|\u0434\u043e\u0441\u0442\u0443\u043f\u043d|\u0432\s+1\u0441|1\u0441|available|exist|which)/iu.test(text));
}
function hasMetadataObjectHint(text) {
return /(?:\u0440\u0435\u0433\u0438\u0441\u0442\u0440(?:\u044b)?|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a(?:\u0438)?|\u043f\u043e\u043b(?:\u0435|\u044f)|registers?|documents?|catalogs?|fields?)/iu.test(text);
return /(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|\u0440\u0435\u0433\u0438\u0441\u0442\u0440(?:\u044b)?|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a(?:\u0438)?|\u043f\u043e\u043b(?:\u0435|\u044f)|objects?|registers?|documents?|catalogs?|fields?)/iu.test(text);
}
function hasDocumentEvidenceFollowupSignal(text) {
return /(?:\u043f\u043e\s+\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u0430\u043c|\u044b)?|\u0434\u0430\u0432\u0430\u0439\s+\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u0438\u0449\u0438\s+\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u043f\u043e\u043a\u0430\u0436\u0438\s+\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|(?:\u043f\u043e\u043a\u0430\u0436\u0438|\u043a\u0430\u043a\u0438\u0435|\u0441\u043f\u0438\u0441\u043e\u043a|\u0434\u0430\u0439|\u0438\u0449\u0438)\s+(?:\u0441\u0447(?:[еe]т|\u0435\u0442)[-\u2011 ]?\u0444\u0430\u043a\u0442\u0443\u0440(?:\u044b|\u0430)?|\u043d\u0430\u043a\u043b\u0430\u0434\u043d(?:\u044b\u0435|\u0430\u044f)?|\u0430\u043a\u0442(?:\u044b)?|\u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446(?:\u0438\u0438|\u0438\u044e)|invoice(?:s)?|bill(?:s)?|waybill(?:s)?)|document(?:s)?\s+(?:then|next)?|(?:then|next)\s+documents?|go\s+to\s+documents?)/iu.test(text);
@ -278,7 +294,39 @@ function hasMovementEvidenceFollowupSignal(text) {
function hasMetadataDownstreamContinuationSignal(text) {
return /(?:\u0434\u0430\u0432\u0430\u0439\s+\u0434\u0430\u043b\u044c\u0448\u0435|\u0438\u0434(?:\u0435|\u0451)\u043c\s+\u0434\u0430\u043b\u044c\u0448\u0435|\u043f\u043e\u0448\u043b(?:\u0438|\u0451\u043c)\s+\u0434\u0430\u043b\u044c\u0448\u0435|\u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0439|\u0438\u0449\u0438\s+\u0434\u0430\u043b\u044c\u0448\u0435|\u0438\u0449\u0438\s+\u0434\u0430\u043d\u043d\u044b\u0435|\u043f\u043e\u043a\u0430\u0436\u0438\s+\u0434\u0430\u043d\u043d\u044b\u0435|\u043f\u043e\u043a\u0430\u0436\u0438\s+\u0441\u0442\u0440\u043e\u043a\u0438|\u0433\u043b\u0443\u0431\u0436\u0435|\u0447\u0442\u043e\s+\u0434\u0430\u043b\u044c\u0448\u0435|continue|go\s+ahead|go\s+deeper|look\s+deeper|drill\s+down|show\s+(?:data|rows))/iu.test(text);
}
function hasEntityResolutionSignal(text) {
const hasSearchVerb = /(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|поиск|search|find|look\s*up)/iu.test(text);
const hasEntityNoun = /(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)/iu.test(text);
return hasSearchVerb && hasEntityNoun;
}
function normalizeEntityResolutionCandidate(value) {
return value
.replace(/^(?:в\s*1с\s+|в\s+1c\s+|по\s+имени\s+)/iu, "")
.replace(/[?!.]+$/gu, "")
.replace(/^(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?)\s+/iu, "")
.replace(/^(?:counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+/iu, "")
.replace(/^[«"'\s]+|[»"'\s]+$/gu, "")
.replace(/\s+/g, " ")
.trim();
}
function rawEntityResolutionCandidate(text) {
const patterns = [
/(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|search|find|look\s*up)\s+(?:в\s*1с\s+|в\s+1c\s+)?(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+(.+)$/iu,
/(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+(.+?)\s+(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|search|find|look\s*up)\b/iu
];
for (const pattern of patterns) {
const match = text.match(pattern);
const candidate = normalizeEntityResolutionCandidate(match?.[1] ?? "");
if (candidate.length >= 2) {
return candidate;
}
}
return null;
}
function metadataActionFromRawText(text) {
if (/(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|objects?)/iu.test(text)) {
return "inspect_surface";
}
if (/(?:\u043f\u043e\u043b(?:\u0435|\u044f)|field)/iu.test(text)) {
return "inspect_fields";
}
@ -293,6 +341,18 @@ function metadataActionFromRawText(text) {
}
return "inspect_catalog";
}
function metadataScopeHintFromRawText(text) {
if (/(?:\u043d\u0434\u0441|vat)/iu.test(text)) {
return "\u041d\u0414\u0421";
}
if (/(?:\u0441\u043a\u043b\u0430\u0434|inventory|stock|warehouse|\u043d\u043e\u043c\u0435\u043d\u043a\u043b\u0430\u0442\u0443\u0440)/iu.test(text)) {
return "\u0441\u043a\u043b\u0430\u0434";
}
if (/(?:\u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442|counterparty|customer|client|supplier|vendor)/iu.test(text)) {
return "\u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442";
}
return null;
}
function hasExplicitDateScopeLiteral(text) {
return /(?:\b(?:19|20)\d{2}\b|\b\d{4}-\d{2}-\d{2}\b|\b\d{4}-\d{2}\b)/iu.test(text);
}
@ -322,6 +382,10 @@ function semanticNeedFor(input) {
if (input.valueFlowSignal || /(?:turnover|revenue|payment|payout|value|net|netting|balance|cashflow)/iu.test(combined)) {
return "counterparty value-flow evidence";
}
if (input.entityResolutionSignal ||
/(?:entity_resolution|search_business_entity|resolve_entity_reference|entity\s+discovery|counterparty\s+search)/iu.test(combined)) {
return "entity discovery evidence";
}
if (/(?:movement|movements|bank_operations|movement_evidence|list_movements)/iu.test(combined)) {
return "movement evidence";
}
@ -337,6 +401,9 @@ function shouldRunDiscovery(input) {
if (input.metadataSignal) {
return true;
}
if (input.entityResolutionSignal) {
return true;
}
if (input.valueFlowSignal && !input.explicitIntentCandidate) {
return true;
}
@ -355,15 +422,23 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
const predecomposeEntities = collectPredecomposeEntities(predecomposeContract);
const followupSeed = collectFollowupDiscoverySeed(followupContext);
const reasonCodes = [];
const rawText = compactLower(`${input.userMessage ?? ""} ${input.effectiveMessage ?? ""}`);
const rawUserText = toNonEmptyString(input.userMessage);
const rawEffectiveText = toNonEmptyString(input.effectiveMessage);
const rawSignalSourceText = `${rawUserText ?? ""} ${rawEffectiveText ?? ""}`.trim();
const rawEntitySourceText = rawUserText ?? rawEffectiveText ?? rawSignalSourceText;
const rawText = compactLower(rawSignalSourceText);
const rawLifecycleSignal = hasLifecycleSignal(rawText);
const rawBidirectionalValueFlowSignal = !rawLifecycleSignal && hasBidirectionalValueFlowSignal(rawText);
const rawValueFlowSignal = !rawLifecycleSignal && (hasValueFlowSignal(rawText) || rawBidirectionalValueFlowSignal);
const rawMetadataSignal = !rawLifecycleSignal && !rawValueFlowSignal && hasMetadataSignal(rawText);
const rawEntityResolutionSignal = !rawLifecycleSignal && !rawValueFlowSignal && !rawMetadataSignal && hasEntityResolutionSignal(rawText);
const rawPayoutSignal = rawValueFlowSignal && !rawBidirectionalValueFlowSignal && hasPayoutSignal(rawText);
const monthlyAggregationSignal = hasMonthlyAggregationSignal(rawText);
const explicitDateScopeLiteralDetected = hasExplicitDateScopeLiteral(rawText);
const rawDateScope = collectDateScopeFromRawText(rawText);
const rawMetadataScopeHint = rawMetadataSignal ? metadataScopeHintFromRawText(rawText) : null;
const rawEntityCandidate = rawEntityResolutionSignal ? rawEntityResolutionCandidate(rawEntitySourceText) : null;
const entityResolutionSignal = rawEntityResolutionSignal || Boolean(rawEntityCandidate);
const metadataDocumentHintSignal = hasDocumentEvidenceFollowupSignal(rawText);
const metadataMovementHintSignal = hasMovementEvidenceFollowupSignal(rawText);
const rawDomain = toNonEmptyString(assistantTurnMeaning?.asked_domain_family);
@ -508,13 +583,26 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
unsupported: unsupported ?? seededUnsupported,
lifecycleSignal,
valueFlowSignal,
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable,
entityResolutionSignal
});
const entityCandidates = collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates);
const entityCandidates = entityResolutionSignal ? [] : collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates);
if (entityResolutionSignal) {
pushNormalizedEntityResolutionCandidate(entityCandidates, rawEntityCandidate);
for (const candidate of collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates)) {
pushNormalizedEntityResolutionCandidate(entityCandidates, candidate);
}
pushNormalizedEntityResolutionCandidate(entityCandidates, predecomposeEntities.counterparty);
pushNormalizedEntityResolutionCandidate(entityCandidates, followupSeed.counterparty);
}
else {
pushUnique(entityCandidates, predecomposeEntities.counterparty);
pushUnique(entityCandidates, followupSeed.counterparty);
pushUnique(entityCandidates, rawEntityCandidate);
}
if ((rawMetadataSignal || metadataFollowupSeedApplicable) && !followupSeed.counterparty) {
pushUnique(entityCandidates, followupSeed.discoveryEntity);
pushUnique(entityCandidates, rawMetadataScopeHint);
}
if (valueFlowSignal && !predecomposeEntities.counterparty && !followupSeed.counterparty) {
pushUnique(entityCandidates, predecomposeEntities.organization);
@ -533,6 +621,8 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
? "movements"
: metadataGroundedDocumentLaneApplicable
? "documents"
: entityResolutionSignal
? "entity_resolution"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "metadata"
: rawDomain ?? seededDomain,
@ -548,6 +638,8 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
? "list_movements"
: metadataGroundedDocumentLaneApplicable
? "list_documents"
: entityResolutionSignal
? "search_business_entity"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? metadataActionFromRawText(rawText) ?? seededAction
: rawAction ?? seededAction,
@ -573,6 +665,8 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
? "document_evidence"
: metadataAmbiguityLaneClarificationApplicable
? "metadata_lane_choice_clarification"
: entityResolutionSignal
? "entity_resolution"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "1c_metadata_surface"
: followupDiscoverySeedApplicable
@ -585,6 +679,7 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
metadataGroundedMovementLaneApplicable ||
metadataGroundedDocumentLaneApplicable ||
metadataAmbiguityLaneClarificationApplicable ||
entityResolutionSignal ||
rawMetadataSignal ||
effectiveMetadataFollowupSeedApplicable ||
followupDiscoverySeedApplicable)
@ -622,6 +717,7 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
lifecycleSignal,
valueFlowSignal,
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable,
entityResolutionSignal,
semanticDataNeed,
explicitIntentCandidate,
followupDiscoverySeedApplicable: followupDiscoverySeedApplicable ||
@ -644,6 +740,8 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
: lifecycleSignal
? "raw_text"
: valueFlowSignal
? "raw_text"
: entityResolutionSignal
? "raw_text"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "raw_text"
@ -657,6 +755,15 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
if (rawMetadataSignal) {
pushReason(reasonCodes, "mcp_discovery_metadata_signal_detected");
}
if (entityResolutionSignal) {
pushReason(reasonCodes, "mcp_discovery_entity_resolution_signal_detected");
}
if (rawMetadataScopeHint) {
pushReason(reasonCodes, "mcp_discovery_metadata_scope_hint_from_raw_text");
}
if (rawEntityCandidate) {
pushReason(reasonCodes, "mcp_discovery_entity_scope_from_raw_entity_search");
}
if (payoutSignal) {
pushReason(reasonCodes, "mcp_discovery_payout_signal_detected");
}

View File

@ -80,6 +80,13 @@ function modeFor(pilot: AssistantMcpDiscoveryPilotExecutionContract): AssistantM
if (pilot.pilot_status === "skipped_needs_clarification") {
return "needs_clarification";
}
if (
pilot.pilot_scope === "entity_resolution_search_v1" &&
(pilot.reason_codes.includes("pilot_entity_resolution_ambiguity_requires_clarification") ||
pilot.derived_entity_resolution?.resolution_status === "ambiguous")
) {
return "needs_clarification";
}
if (pilot.evidence.answer_permission === "confirmed_answer") {
return "confirmed_with_bounded_inference";
}
@ -109,6 +116,10 @@ function isMetadataPilot(pilot: AssistantMcpDiscoveryPilotExecutionContract): bo
return pilot.pilot_scope === "metadata_inspection_v1";
}
function isEntityResolutionPilot(pilot: AssistantMcpDiscoveryPilotExecutionContract): boolean {
return pilot.pilot_scope === "entity_resolution_search_v1";
}
function isMetadataLaneChoiceClarification(pilot: AssistantMcpDiscoveryPilotExecutionContract): boolean {
return (
pilot.reason_codes.includes("planner_selected_metadata_lane_clarification_recipe") ||
@ -116,6 +127,104 @@ function isMetadataLaneChoiceClarification(pilot: AssistantMcpDiscoveryPilotExec
);
}
function askedActionFamily(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const action = pilot.evidence.query_plan.turn_meaning_ref?.asked_action_family;
if (typeof action !== "string") {
return null;
}
const normalized = action.trim().toLowerCase();
return normalized.length > 0 ? normalized : null;
}
function unsupportedFamily(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const unsupported = pilot.evidence.query_plan.turn_meaning_ref?.unsupported_but_understood_family;
if (typeof unsupported !== "string") {
return null;
}
const normalized = unsupported.trim().toLowerCase();
return normalized.length > 0 ? normalized : null;
}
function firstEntityCandidate(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const values = Array.isArray(pilot.evidence.query_plan.turn_meaning_ref?.explicit_entity_candidates)
? pilot.evidence.query_plan.turn_meaning_ref?.explicit_entity_candidates
: [];
for (const value of values) {
const text = String(value ?? "").trim();
if (text) {
return text;
}
}
return null;
}
function isMovementLaneClarification(pilot: AssistantMcpDiscoveryPilotExecutionContract): boolean {
return (
isMovementPilot(pilot) ||
pilot.reason_codes.includes("planner_selected_movement_recipe") ||
pilot.dry_run.reason_codes.includes("planner_selected_movement_recipe") ||
askedActionFamily(pilot) === "list_movements" ||
unsupportedFamily(pilot) === "movement_evidence"
);
}
function isDocumentLaneClarification(pilot: AssistantMcpDiscoveryPilotExecutionContract): boolean {
return (
isDocumentPilot(pilot) ||
pilot.reason_codes.includes("planner_selected_document_recipe") ||
pilot.dry_run.reason_codes.includes("planner_selected_document_recipe") ||
askedActionFamily(pilot) === "list_documents" ||
unsupportedFamily(pilot) === "document_evidence"
);
}
function laneScopeSuffix(pilot: AssistantMcpDiscoveryPilotExecutionContract): string {
const entity = firstEntityCandidate(pilot);
return entity ? ` по "${entity}"` : "";
}
function dryRunMissingAxis(pilot: AssistantMcpDiscoveryPilotExecutionContract, axis: string): boolean {
return pilot.dry_run.execution_steps.some((step) =>
step.missing_axis_options.some((option) => option.includes(axis))
);
}
function clarificationNeedRu(
pilot: AssistantMcpDiscoveryPilotExecutionContract
): { subject: string; verb: string } {
const needsPeriod = dryRunMissingAxis(pilot, "period");
const needsOrganization = dryRunMissingAxis(pilot, "organization");
if (needsPeriod && needsOrganization) {
return { subject: "проверяемый период и организацию", verb: "нужно" };
}
if (needsPeriod) {
return { subject: "проверяемый период", verb: "нужен" };
}
if (needsOrganization) {
return { subject: "организацию", verb: "нужно" };
}
return { subject: "контекст проверки", verb: "нужно" };
}
function clarificationNextStepLine(
pilot: AssistantMcpDiscoveryPilotExecutionContract,
laneLabel: string
): string {
const needsPeriod = dryRunMissingAxis(pilot, "period");
const needsOrganization = dryRunMissingAxis(pilot, "organization");
const scopeSuffix = laneScopeSuffix(pilot);
if (needsPeriod && needsOrganization) {
return `Уточните период и организацию, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
if (needsPeriod) {
return `Уточните период, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
if (needsOrganization) {
return `Уточните организацию, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
return `Уточните контекст проверки, и я продолжу поиск по ${laneLabel}${scopeSuffix} в 1С.`;
}
function metadataRouteFamilyLabelRu(
routeFamily: "document_evidence" | "movement_evidence" | "catalog_drilldown" | null
): string | null {
@ -135,6 +244,19 @@ function headlineFor(mode: AssistantMcpDiscoveryAnswerMode, pilot: AssistantMcpD
const askedMonthlyBreakdown =
pilot.derived_bidirectional_value_flow?.aggregation_axis === "month" ||
pilot.derived_value_flow?.aggregation_axis === "month";
if (isEntityResolutionPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "По каталогу 1С найден вероятный контрагент; это заземление сущности для следующего шага, а не еще бизнес-ответ по данным.";
}
if (isEntityResolutionPilot(pilot) && mode === "needs_clarification") {
return "По каталогу 1С нашлось несколько похожих контрагентов, и без уточнения нельзя честно выбрать правильную сущность.";
}
if (
isEntityResolutionPilot(pilot) &&
mode === "checked_sources_only" &&
pilot.derived_entity_resolution?.resolution_status === "not_found"
) {
return "По текущему каталожному поиску 1С точный контрагент пока не подтвержден.";
}
if (isMovementPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "По данным 1С найдены строки движений; ответ ограничен проверенным периодом и найденными строками.";
}
@ -177,8 +299,13 @@ function headlineFor(mode: AssistantMcpDiscoveryAnswerMode, pilot: AssistantMcpD
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "По подтвержденной metadata-поверхности видно несколько конкурирующих data-lane, и без явного выбора дальше идти нельзя.";
}
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "Уточните, в какой контур идти дальше: по документам или по движениям/регистрам.";
if (mode === "needs_clarification" && isMovementLaneClarification(pilot)) {
const need = clarificationNeedRu(pilot);
return `Могу идти дальше по движениям/регистрам${laneScopeSuffix(pilot)}, но для запуска поиска в 1С ${need.verb} ${need.subject}.`;
}
if (mode === "needs_clarification" && isDocumentLaneClarification(pilot)) {
const need = clarificationNeedRu(pilot);
return `Могу идти дальше по документам${laneScopeSuffix(pilot)}, но для запуска поиска в 1С ${need.verb} ${need.subject}.`;
}
if (mode === "needs_clarification") {
return "Нужно уточнить контекст перед поиском в 1С.";
@ -190,9 +317,28 @@ function headlineFor(mode: AssistantMcpDiscoveryAnswerMode, pilot: AssistantMcpD
}
function nextStepFor(mode: AssistantMcpDiscoveryAnswerMode, pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
if (isEntityResolutionPilot(pilot) && mode === "needs_clarification") {
return "Уточните точное название контрагента или добавьте ИНН, и я продолжу уже по нужной сущности в 1С.";
}
if (isEntityResolutionPilot(pilot) && mode === "confirmed_with_bounded_inference") {
return "Теперь могу продолжить уже по найденному контрагенту и искать документы, движения или денежный поток.";
}
if (
isEntityResolutionPilot(pilot) &&
mode === "checked_sources_only" &&
pilot.derived_entity_resolution?.resolution_status === "not_found"
) {
return "Дайте точное название или ИНН, и я повторю поиск по каталогу 1С более прицельно.";
}
if (mode === "needs_clarification" && isMetadataLaneChoiceClarification(pilot)) {
return "Уточните, в какой контур идти дальше: по документам или по движениям/регистрам.";
}
if (mode === "needs_clarification" && isMovementLaneClarification(pilot)) {
return clarificationNextStepLine(pilot, "движениям/регистрам");
}
if (mode === "needs_clarification" && isDocumentLaneClarification(pilot)) {
return clarificationNextStepLine(pilot, "документам");
}
if (mode === "needs_clarification") {
return "Уточните контрагента, период или организацию, и я смогу выполнить проверку по 1С.";
}
@ -241,6 +387,11 @@ function buildMustNotClaim(pilot: AssistantMcpDiscoveryPilotExecutionContract):
claims.push("Do not claim a document/register exists outside the checked metadata probe results.");
claims.push("Do not present the inferred next checked lane as already executed data retrieval.");
}
if (isEntityResolutionPilot(pilot)) {
claims.push("Do not present catalog grounding as confirmed business activity, turnover, or document evidence.");
claims.push("Do not claim legal identity uniqueness when several catalog candidates are still plausible.");
claims.push("Do not imply that the resolved entity has already been used in a downstream data probe.");
}
if (pilot.evidence.confirmed_facts.length === 0) {
claims.push("Do not claim a confirmed business fact when confirmed_facts is empty.");
}
@ -335,6 +486,35 @@ function derivedMetadataInferenceLine(pilot: AssistantMcpDiscoveryPilotExecution
return `По подтвержденной metadata-поверхности следующий проверяемый шаг можно ограниченно оценить как ${routeLabel} через family «${surface.selected_entity_set}». Это еще не выполненный data-fetch, а только grounded выбор следующего контура.`;
}
function derivedEntityResolutionConfirmedLine(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const resolution = pilot.derived_entity_resolution;
if (!resolution || resolution.resolution_status !== "resolved" || !resolution.resolved_entity) {
return null;
}
const requested = resolution.requested_entity ? ` по запросу "${resolution.requested_entity}"` : "";
const confidence =
resolution.confidence === "high"
? " Точность совпадения выглядит высокой."
: resolution.confidence === "medium"
? " Совпадение выглядит достаточно сильным, но это все еще catalog grounding."
: " Совпадение выглядит вероятным, но его лучше считать рабочим заземлением сущности.";
return `В текущем каталожном срезе 1С${requested} найден контрагент "${resolution.resolved_entity}".${confidence}`;
}
function derivedEntityResolutionInferenceLine(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const resolution = pilot.derived_entity_resolution;
if (!resolution) {
return null;
}
if (resolution.resolution_status === "resolved") {
return "Сейчас подтверждено только заземление сущности по каталогу 1С; документы, движения и денежные показатели по ней еще не проверялись.";
}
if (resolution.resolution_status === "ambiguous" && resolution.ambiguity_candidates.length > 0) {
return `В checked catalog slice есть несколько близких кандидатов: ${resolution.ambiguity_candidates.join(", ")}. Без уточнения нельзя честно выбрать одного контрагента для следующего шага.`;
}
return null;
}
function derivedValueFlowConfirmedLine(pilot: AssistantMcpDiscoveryPilotExecutionContract): string | null {
const flow = pilot.derived_value_flow;
if (!flow) {
@ -436,11 +616,15 @@ export function buildAssistantMcpDiscoveryAnswerDraft(
if (pilot.evidence.inferred_facts.length > 0) {
pushReason(reasonCodes, "answer_contains_bounded_inference");
}
const derivedInferenceLine = derivedActivityInferenceLine(pilot) ?? derivedMetadataInferenceLine(pilot);
const derivedInferenceLine =
derivedActivityInferenceLine(pilot) ??
derivedMetadataInferenceLine(pilot) ??
derivedEntityResolutionInferenceLine(pilot);
const inferenceLines = derivedInferenceLine
? [derivedInferenceLine]
: pilot.evidence.inferred_facts;
const derivedMetadataLine = derivedMetadataConfirmedLine(pilot);
const derivedEntityResolutionLine = derivedEntityResolutionConfirmedLine(pilot);
const derivedValueLine = derivedBidirectionalValueFlowConfirmedLine(pilot) ?? derivedValueFlowConfirmedLine(pilot);
const monthlyConfirmedLines =
derivedBidirectionalValueFlowMonthlyLines(pilot).length > 0
@ -451,6 +635,8 @@ export function buildAssistantMcpDiscoveryAnswerDraft(
}
const confirmedLines = derivedValueLine
? [...pilot.evidence.confirmed_facts, derivedValueLine, ...monthlyConfirmedLines]
: derivedEntityResolutionLine
? [...pilot.evidence.confirmed_facts, derivedEntityResolutionLine]
: derivedMetadataLine
? [...pilot.evidence.confirmed_facts, derivedMetadataLine]
: pilot.evidence.confirmed_facts;

View File

@ -8,7 +8,10 @@ import {
type AssistantMcpDiscoveryRuntimeDryRunContract,
type AssistantMcpDiscoveryRuntimeStepContract
} from "./assistantMcpDiscoveryRuntimeAdapter";
import type { AssistantMcpDiscoveryPlannerContract } from "./assistantMcpDiscoveryPlanner";
import type {
AssistantMcpDiscoveryChainId,
AssistantMcpDiscoveryPlannerContract
} from "./assistantMcpDiscoveryPlanner";
import {
resolveAssistantMcpDiscoveryEvidence,
type AssistantMcpDiscoveryEvidenceContract,
@ -133,6 +136,18 @@ export interface AssistantMcpDiscoveryDerivedMetadataSurface {
inference_basis: "confirmed_1c_metadata_surface_rows";
}
export interface AssistantMcpDiscoveryDerivedEntityResolution {
requested_entity: string | null;
resolution_status: "resolved" | "ambiguous" | "not_found";
resolved_entity: string | null;
resolved_reference: string | null;
matched_rows: number;
checked_candidates: string[];
ambiguity_candidates: string[];
confidence: "high" | "medium" | "low" | null;
inference_basis: "catalog_counterparty_search_rows";
}
interface AssistantMcpDiscoveryCoverageAwareQueryResult extends AddressMcpQueryExecutorResult {
coverage_limited_by_probe_limit: boolean;
coverage_recovered_by_period_chunking: boolean;
@ -149,6 +164,7 @@ interface AssistantMcpDiscoveryCoverageAwareQueryExecution {
export type AssistantMcpDiscoveryPilotScope =
| "metadata_inspection_v1"
| "entity_resolution_search_v1"
| "counterparty_movement_evidence_query_movements_v1"
| "counterparty_document_evidence_query_documents_v1"
| "counterparty_lifecycle_query_documents_v1"
@ -169,6 +185,7 @@ export interface AssistantMcpDiscoveryPilotExecutionContract {
evidence: AssistantMcpDiscoveryEvidenceContract;
source_rows_summary: string | null;
derived_metadata_surface: AssistantMcpDiscoveryDerivedMetadataSurface | null;
derived_entity_resolution: AssistantMcpDiscoveryDerivedEntityResolution | null;
derived_activity_period: AssistantMcpDiscoveryDerivedActivityPeriod | null;
derived_value_flow: AssistantMcpDiscoveryDerivedValueFlow | null;
derived_bidirectional_value_flow: AssistantMcpDiscoveryDerivedBidirectionalValueFlow | null;
@ -183,6 +200,41 @@ const DEFAULT_DEPS: ResolvedAssistantMcpDiscoveryPilotExecutorDeps = {
executeAddressMcpMetadata
};
const ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT = 1000;
const ENTITY_RESOLUTION_COUNTERPARTY_QUERY_TEMPLATE = `
ВЫБРАТЬ ПЕРВЫЕ __LIMIT__
ПРЕДСТАВЛЕНИЕ(Контрагенты.Ссылка) КАК Контрагент,
ПРЕДСТАВЛЕНИЕ(Контрагенты.Ссылка) КАК Counterparty,
Контрагенты.Ссылка КАК КонтрагентСсылка,
Контрагенты.Ссылка КАК CounterpartyRef,
Контрагенты.Наименование КАК Наименование
ИЗ
Справочник.Контрагенты КАК Контрагенты
`;
const ENTITY_RESOLUTION_STOPWORDS = new Set([
"ооо",
"ао",
"зао",
"ип",
"llc",
"ltd",
"company",
"контрагент",
"counterparty",
"поставщик",
"supplier",
"клиент",
"customer",
"в",
"1с",
"1c",
"найди",
"найти",
"поищи",
"search",
"find"
]);
function toNonEmptyString(value: unknown): string | null {
if (value === null || value === undefined) {
return null;
@ -282,7 +334,170 @@ function buildValueFlowFilters(planner: AssistantMcpDiscoveryPlannerContract): A
};
}
function normalizeEntityResolutionText(value: string | null): string {
return String(value ?? "")
.toLowerCase()
.replace(/ё/g, "е")
.replace(/[«»"'`]/g, " ")
.replace(/[^\p{L}\p{N}\s-]+/gu, " ")
.replace(/\s+/g, " ")
.trim();
}
function tokenizeEntityResolutionText(value: string | null): string[] {
return normalizeEntityResolutionText(value)
.split(" ")
.map((token) => token.trim())
.filter((token) => token.length >= 2 && !ENTITY_RESOLUTION_STOPWORDS.has(token));
}
function isLowQualityEntityResolutionAnchor(value: string | null): boolean {
return tokenizeEntityResolutionText(value).length <= 0;
}
function entityResolutionCandidateName(row: Record<string, unknown>): string | null {
const candidates = [
row["Контрагент"],
row["Counterparty"],
row["Наименование"],
row["name"],
row["Name"],
row["registrator"],
row["Registrator"]
];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
if (text) {
return text;
}
}
return null;
}
function entityResolutionCandidateRef(row: Record<string, unknown>): string | null {
const candidates = [row["КонтрагентСсылка"], row["CounterpartyRef"], row["ref"], row["Ref"]];
for (const candidate of candidates) {
const text = toNonEmptyString(candidate);
if (text) {
return text;
}
}
return null;
}
function scoreEntityResolutionCandidate(name: string, requested: string): number | null {
const normalizedName = normalizeEntityResolutionText(name);
const normalizedRequested = normalizeEntityResolutionText(requested);
const requestedTokens = tokenizeEntityResolutionText(requested);
if (!normalizedName || !normalizedRequested || requestedTokens.length <= 0) {
return null;
}
let score = 0;
if (normalizedName === normalizedRequested) {
score += 10_000;
} else if (normalizedName.includes(normalizedRequested)) {
score += 5_000;
} else if (normalizedRequested.includes(normalizedName) && normalizedName.length >= 4) {
score += 2_000;
}
for (const token of requestedTokens) {
if (!normalizedName.includes(token)) {
return null;
}
score += Math.max(40, token.length * 20);
}
score -= Math.abs(normalizedName.length - normalizedRequested.length);
return score;
}
function deriveEntityResolution(
result: AddressMcpQueryExecutorResult | null,
requestedEntity: string | null
): AssistantMcpDiscoveryDerivedEntityResolution | null {
if (!result || result.error || !requestedEntity) {
return null;
}
const checkedCandidates = uniqueCandidateStrings(
result.raw_rows
.map((row) => entityResolutionCandidateName(row))
.filter((value): value is string => Boolean(value))
);
const scoredCandidates = checkedCandidates
.map((name) => {
const score = scoreEntityResolutionCandidate(name, requestedEntity);
return score === null ? null : { name, score };
})
.filter((value): value is { name: string; score: number } => Boolean(value))
.sort((left, right) => right.score - left.score || left.name.length - right.name.length || left.name.localeCompare(right.name, "ru"));
if (scoredCandidates.length <= 0) {
return {
requested_entity: requestedEntity,
resolution_status: "not_found",
resolved_entity: null,
resolved_reference: null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: [],
confidence: null,
inference_basis: "catalog_counterparty_search_rows"
};
}
const bestCandidate = scoredCandidates[0];
const bestNormalized = normalizeEntityResolutionText(bestCandidate.name);
const requestedNormalized = normalizeEntityResolutionText(requestedEntity);
const requestedTokens = tokenizeEntityResolutionText(requestedEntity);
const exactMatch = bestNormalized === requestedNormalized;
const strongContains = requestedTokens.length > 1 && bestNormalized.includes(requestedNormalized);
const topCandidates = scoredCandidates.filter((candidate) => candidate.score === bestCandidate.score);
if (topCandidates.length > 1 && !exactMatch && !strongContains) {
return {
requested_entity: requestedEntity,
resolution_status: "ambiguous",
resolved_entity: null,
resolved_reference: null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: topCandidates.map((candidate) => candidate.name).slice(0, 6),
confidence: "low",
inference_basis: "catalog_counterparty_search_rows"
};
}
const matchedRow =
result.raw_rows.find((row) => normalizeEntityResolutionText(entityResolutionCandidateName(row)) === bestNormalized) ?? null;
return {
requested_entity: requestedEntity,
resolution_status: "resolved",
resolved_entity: bestCandidate.name,
resolved_reference: matchedRow ? entityResolutionCandidateRef(matchedRow) : null,
matched_rows: result.rows.length,
checked_candidates: checkedCandidates.slice(0, 12),
ambiguity_candidates: [],
confidence: exactMatch ? "high" : strongContains ? "medium" : "low",
inference_basis: "catalog_counterparty_search_rows"
};
}
function uniqueCandidateStrings(values: string[]): string[] {
const result: string[] = [];
for (const value of values) {
pushUnique(result, value);
}
return result;
}
function isLifecyclePilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (planner.selected_chain_id === "lifecycle") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -294,6 +509,9 @@ function isLifecyclePilotEligible(planner: AssistantMcpDiscoveryPlannerContract)
}
function isDocumentEvidencePilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (planner.selected_chain_id === "document_evidence") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -306,6 +524,9 @@ function isDocumentEvidencePilotEligible(planner: AssistantMcpDiscoveryPlannerCo
}
function isMovementEvidencePilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (planner.selected_chain_id === "movement_evidence") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -323,6 +544,9 @@ function isMovementEvidencePilotEligible(planner: AssistantMcpDiscoveryPlannerCo
}
function isValueFlowPilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (planner.selected_chain_id === "value_flow") {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -339,6 +563,12 @@ function isValueFlowPilotEligible(planner: AssistantMcpDiscoveryPlannerContract)
}
function isMetadataPilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (
planner.selected_chain_id === "metadata_inspection" ||
planner.selected_chain_id === "metadata_lane_clarification"
) {
return true;
}
const meaning = planner.discovery_plan.turn_meaning_ref;
const domain = String(meaning?.asked_domain_family ?? "").toLowerCase();
const action = String(meaning?.asked_action_family ?? "").toLowerCase();
@ -356,6 +586,25 @@ function isMetadataPilotEligible(planner: AssistantMcpDiscoveryPlannerContract):
);
}
function isEntityResolutionPilotEligible(planner: AssistantMcpDiscoveryPlannerContract): boolean {
if (planner.selected_chain_id === "entity_resolution") {
return true;
}
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 semanticNeed = String(planner.semantic_data_need ?? "").toLowerCase();
const combined = `${domain} ${action} ${unsupported} ${semanticNeed}`;
return (
planner.proposed_primitives.includes("search_business_entity") &&
(combined.includes("entity_resolution") ||
combined.includes("search_business_entity") ||
combined.includes("entity discovery") ||
combined.includes("counterparty search"))
);
}
function metadataScopeForPlanner(planner: AssistantMcpDiscoveryPlannerContract): string | null {
const entityCandidate = firstEntityCandidate(planner);
if (entityCandidate) {
@ -715,6 +964,16 @@ function summarizeMetadataRows(result: AddressMcpMetadataRowsResult): string | n
return `${result.fetched_rows} MCP metadata rows fetched`;
}
function summarizeEntityResolutionRows(result: AddressMcpQueryExecutorResult): string | null {
if (result.error) {
return null;
}
if (result.fetched_rows <= 0) {
return "0 MCP catalog rows fetched";
}
return `${result.fetched_rows} MCP catalog rows fetched for entity search`;
}
function metadataRowText(row: Record<string, unknown>, keys: string[]): string | null {
for (const key of keys) {
const text = toNonEmptyString(row[key]);
@ -752,6 +1011,19 @@ function metadataEntitySet(row: Record<string, unknown>): string | null {
]);
}
function inferMetadataEntitySetFromObjectName(objectName: string | null): string | null {
const text = String(objectName ?? "").trim();
if (!text) {
return null;
}
const dotIndex = text.indexOf(".");
if (dotIndex <= 0) {
return null;
}
const entitySet = text.slice(0, dotIndex).trim();
return entitySet.length > 0 ? entitySet : null;
}
function metadataChildNames(value: unknown): string[] {
if (!Array.isArray(value)) {
return [];
@ -908,7 +1180,7 @@ function deriveMetadataSurface(
if (objectName) {
pushUnique(matchedObjects, objectName);
}
const entitySet = metadataEntitySet(row);
const entitySet = metadataEntitySet(row) ?? inferMetadataEntitySetFromObjectName(objectName);
if (entitySet) {
pushUnique(availableEntitySets, entitySet);
}
@ -997,6 +1269,67 @@ function buildMetadataUnknownFacts(
return ["No matching 1C metadata objects were confirmed by this MCP metadata probe"];
}
function buildEntityResolutionConfirmedFacts(
resolution: AssistantMcpDiscoveryDerivedEntityResolution | null
): string[] {
if (!resolution || resolution.resolution_status !== "resolved" || !resolution.resolved_entity) {
return [];
}
if (resolution.requested_entity && normalizeEntityResolutionText(resolution.requested_entity) === normalizeEntityResolutionText(resolution.resolved_entity)) {
return [`В проверенном каталожном срезе 1С найден контрагент: ${resolution.resolved_entity}`];
}
return [
`В проверенном каталожном срезе 1С найден наиболее вероятный контрагент: ${resolution.resolved_entity}`
];
}
function buildEntityResolutionInferredFacts(
resolution: AssistantMcpDiscoveryDerivedEntityResolution | null
): string[] {
if (!resolution) {
return [];
}
if (resolution.resolution_status === "resolved") {
const facts = ["Пока проверено только заземление сущности по каталогу 1С; документы, движения и денежные показатели еще не проверялись"];
if (resolution.requested_entity && resolution.resolved_entity) {
const requestedNormalized = normalizeEntityResolutionText(resolution.requested_entity);
const resolvedNormalized = normalizeEntityResolutionText(resolution.resolved_entity);
if (requestedNormalized !== resolvedNormalized) {
facts.push("Контрагент выбран как ближайшее подтвержденное совпадение имени в проверенном каталоге 1С");
}
}
return facts;
}
if (resolution.resolution_status === "ambiguous") {
return ["В проверенном каталожном срезе осталось несколько близких кандидатов, поэтому точного контрагента в 1С еще нужно уточнить"];
}
return [];
}
function buildEntityResolutionUnknownFacts(
resolution: AssistantMcpDiscoveryDerivedEntityResolution | null,
requestedEntity: string | null
): string[] {
if (!resolution) {
return ["По проверенному каталожному поиску 1С не удалось заземлить сущность контрагента"];
}
const unknownFacts = ["Документы, движения и денежные показатели по этому контрагенту еще не проверялись; пока был только каталожный поиск"];
if (resolution.resolution_status === "ambiguous" && resolution.ambiguity_candidates.length > 0) {
unknownFacts.unshift(
`Точное заземление контрагента в 1С остается неоднозначным между вариантами: ${resolution.ambiguity_candidates.join(", ")}`
);
return unknownFacts;
}
if (resolution.resolution_status === "not_found") {
unknownFacts.unshift(
requestedEntity
? `В проверенном каталожном срезе 1С не подтвержден контрагент с именем "${requestedEntity}"`
: "В проверенном каталожном срезе 1С не подтвержден подходящий контрагент"
);
}
return unknownFacts;
}
function rowDateValue(row: Record<string, unknown>): string | null {
const candidates = [
row["Период"],
@ -1562,22 +1895,25 @@ function buildEmptyEvidence(
}
function pilotScopeForPlanner(planner: AssistantMcpDiscoveryPlannerContract): AssistantMcpDiscoveryPilotScope {
if (planner.reason_codes.includes("planner_selected_metadata_lane_clarification_recipe")) {
switch (planner.selected_chain_id) {
case "metadata_lane_clarification":
case "metadata_inspection":
return "metadata_inspection_v1";
}
if (isMetadataPilotEligible(planner)) {
return "metadata_inspection_v1";
}
if (isMovementEvidencePilotEligible(planner)) {
case "movement_evidence":
return "counterparty_movement_evidence_query_movements_v1";
}
if (isValueFlowPilotEligible(planner)) {
case "value_flow":
return valueFlowPilotProfile(planner).scope;
}
if (isDocumentEvidencePilotEligible(planner)) {
case "document_evidence":
return "counterparty_document_evidence_query_documents_v1";
}
case "lifecycle":
return "counterparty_lifecycle_query_documents_v1";
case "entity_resolution":
return "entity_resolution_search_v1";
}
}
function isLivePilotChainSupported(chainId: AssistantMcpDiscoveryChainId): boolean {
return true;
}
export async function executeAssistantMcpDiscoveryPilot(
@ -1612,6 +1948,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1636,6 +1973,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1649,8 +1987,18 @@ export async function executeAssistantMcpDiscoveryPilot(
const movementPilotEligible = isMovementEvidencePilotEligible(planner);
const lifecyclePilotEligible = isLifecyclePilotEligible(planner);
const valueFlowPilotEligible = isValueFlowPilotEligible(planner);
const entityResolutionPilotEligible = isEntityResolutionPilotEligible(planner);
const livePilotChainSupported = isLivePilotChainSupported(planner.selected_chain_id);
if (!metadataPilotEligible && !documentPilotEligible && !movementPilotEligible && !lifecyclePilotEligible && !valueFlowPilotEligible) {
if (
!livePilotChainSupported ||
(!metadataPilotEligible &&
!documentPilotEligible &&
!movementPilotEligible &&
!lifecyclePilotEligible &&
!valueFlowPilotEligible &&
!entityResolutionPilotEligible)
) {
pushReason(reasonCodes, "pilot_scope_unsupported_for_live_execution");
for (const step of dryRun.execution_steps) {
skippedPrimitives.push(step.primitive_id);
@ -1670,6 +2018,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1737,6 +2086,102 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: derivedMetadataSurface,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: queryLimitations,
reason_codes: reasonCodes
};
}
if (entityResolutionPilotEligible) {
let queryResult: AddressMcpQueryExecutorResult | null = null;
const requestedEntity = counterparty;
if (isLowQualityEntityResolutionAnchor(requestedEntity)) {
pushReason(reasonCodes, "pilot_entity_resolution_anchor_missing_or_low_quality");
const evidence = buildEmptyEvidence(planner, dryRun, probeResults, "Entity-resolution needs a clearer counterparty name");
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "skipped_needs_clarification",
pilot_scope: "entity_resolution_search_v1",
dry_run: dryRun,
mcp_execution_performed: false,
executed_primitives: executedPrimitives,
skipped_primitives: skippedPrimitives,
probe_results: probeResults,
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
query_limitations: ["Entity-resolution needs a clearer counterparty name"],
reason_codes: reasonCodes
};
}
for (const step of dryRun.execution_steps) {
if (step.primitive_id !== "search_business_entity") {
skippedPrimitives.push(step.primitive_id);
probeResults.push(skippedProbeResult(step, "pilot_only_executes_search_business_entity"));
continue;
}
queryResult = await runtimeDeps.executeAddressMcpQuery({
query: ENTITY_RESOLUTION_COUNTERPARTY_QUERY_TEMPLATE.replaceAll(
"__LIMIT__",
String(ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT)
),
limit: ENTITY_RESOLUTION_COUNTERPARTY_LOOKUP_LIMIT
});
pushUnique(executedPrimitives, step.primitive_id);
probeResults.push(queryResultToProbeResult(step.primitive_id, queryResult));
if (queryResult.error) {
pushUnique(queryLimitations, queryResult.error);
pushReason(reasonCodes, "pilot_search_business_entity_mcp_error");
} else {
pushReason(reasonCodes, "pilot_search_business_entity_mcp_executed");
}
}
const sourceRowsSummary = queryResult ? summarizeEntityResolutionRows(queryResult) : null;
const derivedEntityResolution = deriveEntityResolution(queryResult, requestedEntity);
if (derivedEntityResolution?.resolution_status === "resolved") {
pushReason(reasonCodes, "pilot_derived_entity_resolution_from_catalog_rows");
}
if (derivedEntityResolution?.resolution_status === "ambiguous") {
pushReason(reasonCodes, "pilot_entity_resolution_ambiguity_requires_clarification");
}
if (derivedEntityResolution?.resolution_status === "not_found") {
pushReason(reasonCodes, "pilot_entity_resolution_not_found_in_checked_catalog");
}
const evidence = resolveAssistantMcpDiscoveryEvidence({
plan: planner.discovery_plan,
probeResults,
confirmedFacts: buildEntityResolutionConfirmedFacts(derivedEntityResolution),
inferredFacts: buildEntityResolutionInferredFacts(derivedEntityResolution),
unknownFacts: buildEntityResolutionUnknownFacts(derivedEntityResolution, requestedEntity),
sourceRowsSummary,
queryLimitations,
recommendedNextProbe: "resolve_entity_reference"
});
return {
schema_version: ASSISTANT_MCP_DISCOVERY_PILOT_EXECUTOR_SCHEMA_VERSION,
policy_owner: "assistantMcpDiscoveryPilotExecutor",
pilot_status: "executed",
pilot_scope: "entity_resolution_search_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_metadata_surface: null,
derived_entity_resolution: derivedEntityResolution,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1765,6 +2210,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1820,6 +2266,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1848,6 +2295,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1903,6 +2351,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -1936,6 +2385,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -2035,6 +2485,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: derivedBidirectionalValueFlow,
@ -2061,6 +2512,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -2144,6 +2596,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: derivedValueFlow,
derived_bidirectional_value_flow: null,
@ -2171,6 +2624,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: null,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: null,
derived_value_flow: null,
derived_bidirectional_value_flow: null,
@ -2230,6 +2684,7 @@ export async function executeAssistantMcpDiscoveryPilot(
evidence,
source_rows_summary: sourceRowsSummary,
derived_metadata_surface: null,
derived_entity_resolution: null,
derived_activity_period: derivedActivityPeriod,
derived_value_flow: null,
derived_bidirectional_value_flow: null,

View File

@ -13,6 +13,15 @@ export const ASSISTANT_MCP_DISCOVERY_PLANNER_SCHEMA_VERSION = "assistant_mcp_dis
export type AssistantMcpDiscoveryPlannerStatus = "ready_for_execution" | "needs_clarification" | "blocked";
export type AssistantMcpDiscoveryChainId =
| "metadata_inspection"
| "metadata_lane_clarification"
| "value_flow"
| "lifecycle"
| "movement_evidence"
| "document_evidence"
| "entity_resolution";
export interface AssistantMcpDiscoveryPlannerInput {
semanticDataNeed?: string | null;
turnMeaning?: AssistantMcpDiscoveryTurnMeaningRef | null;
@ -23,6 +32,8 @@ export interface AssistantMcpDiscoveryPlannerContract {
policy_owner: "assistantMcpDiscoveryPlanner";
planner_status: AssistantMcpDiscoveryPlannerStatus;
semantic_data_need: string | null;
selected_chain_id: AssistantMcpDiscoveryChainId;
selected_chain_summary: string;
proposed_primitives: AssistantMcpDiscoveryPrimitive[];
required_axes: string[];
discovery_plan: AssistantMcpDiscoveryPlanContract;
@ -32,6 +43,8 @@ export interface AssistantMcpDiscoveryPlannerContract {
interface PlannerRecipe {
semanticDataNeed: string;
chainId: AssistantMcpDiscoveryChainId;
chainSummary: string;
primitives: AssistantMcpDiscoveryPrimitive[];
axes: string[];
reason: string;
@ -135,6 +148,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
pushUnique(axes, "lane_family_choice");
return {
semanticDataNeed: "metadata lane clarification",
chainId: "metadata_lane_clarification",
chainSummary: "Preserve the ambiguous metadata surface and ask the user to choose the next data lane before running MCP probes.",
primitives: [],
axes,
reason: "planner_selected_metadata_lane_clarification_recipe"
@ -150,6 +165,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
}
return {
semanticDataNeed: "counterparty value-flow evidence",
chainId: "value_flow",
chainSummary: "Resolve the business entity, query scoped movements, aggregate checked amounts, then probe coverage before answering.",
primitives: ["resolve_entity_reference", "query_movements", "aggregate_by_axis", "probe_coverage"],
axes,
reason: requestedAggregationAxis === "month"
@ -164,6 +181,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
pushUnique(axes, "evidence_basis");
return {
semanticDataNeed: "counterparty lifecycle evidence",
chainId: "lifecycle",
chainSummary: "Resolve the business entity, query supporting documents, probe coverage, then explain the evidence basis for the inferred activity window.",
primitives: ["resolve_entity_reference", "query_documents", "probe_coverage", "explain_evidence_basis"],
axes,
reason: "planner_selected_lifecycle_recipe"
@ -174,6 +193,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
pushUnique(axes, "metadata_scope");
return {
semanticDataNeed: "1C metadata evidence",
chainId: "metadata_inspection",
chainSummary: "Inspect the 1C metadata surface first, then ground the next safe lane from confirmed schema evidence.",
primitives: ["inspect_1c_metadata"],
axes,
reason: "planner_selected_metadata_recipe"
@ -184,6 +205,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "movement evidence",
chainId: "movement_evidence",
chainSummary: "Resolve the business entity, fetch scoped movement rows, and probe coverage without pretending to have a full movement universe.",
primitives: ["resolve_entity_reference", "query_movements", "probe_coverage"],
axes,
reason: "planner_selected_movement_recipe"
@ -194,6 +217,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "document evidence",
chainId: "document_evidence",
chainSummary: "Resolve the business entity, fetch scoped document rows, and probe coverage before stating the checked document evidence.",
primitives: ["resolve_entity_reference", "query_documents", "probe_coverage"],
axes,
reason: "planner_selected_document_recipe"
@ -202,8 +227,11 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
if (hasEntity(meaning)) {
pushUnique(axes, "business_entity");
pushUnique(axes, "coverage_target");
return {
semanticDataNeed: "entity discovery evidence",
chainId: "entity_resolution",
chainSummary: "Search candidate business entities, resolve the most relevant 1C reference, and prove whether the entity grounding is stable enough for the next probe.",
primitives: ["search_business_entity", "resolve_entity_reference", "probe_coverage"],
axes,
reason: "planner_selected_entity_resolution_recipe"
@ -212,6 +240,8 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
return {
semanticDataNeed: "unclassified 1C discovery need",
chainId: "metadata_inspection",
chainSummary: "Start with metadata inspection instead of guessing a deeper fact route when the business need is still under-specified.",
primitives: ["inspect_1c_metadata"],
axes,
reason: "planner_selected_clarification_recipe"
@ -266,6 +296,8 @@ export function planAssistantMcpDiscovery(
policy_owner: "assistantMcpDiscoveryPlanner",
planner_status: plannerStatus,
semantic_data_need: semanticDataNeed,
selected_chain_id: recipe.chainId,
selected_chain_summary: recipe.chainSummary,
proposed_primitives: recipe.primitives,
required_axes: recipe.axes,
discovery_plan: plan,

View File

@ -68,6 +68,24 @@ function pushUnique(target: string[], value: unknown): void {
}
}
function canonicalizeEntityResolutionCandidate(value: string): string {
return normalizeEntityResolutionCandidate(value)
.replace(/^(?:\u0441\s+\u043d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435\u043c\s+)/iu, "")
.replace(/\s+(?:\u0432\s+\u0441\u0438\u0441\u0442\u0435\u043c\u0435\s*1\u0421|\u0432\s+1c|in\s+(?:the\s+)?1c\s+system|in\s+1c)\s*$/iu, "")
.trim();
}
function pushNormalizedEntityResolutionCandidate(target: string[], value: unknown): void {
const text = toNonEmptyString(value);
if (!text) {
return;
}
const normalized = canonicalizeEntityResolutionCandidate(text);
if (normalized && !target.includes(normalized)) {
target.push(normalized);
}
}
function compactLower(value: unknown): string {
return String(value ?? "")
.toLowerCase()
@ -365,15 +383,17 @@ function hasMetadataSignal(text: string): boolean {
return true;
}
return (
/(?:\u0440\u0435\u0433\u0438\u0441\u0442\u0440\u044b|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438|\u043f\u043e\u043b(?:\u0435|\u044f)|registers?|documents?|catalogs?|fields?)/iu.test(
/(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|\u0440\u0435\u0433\u0438\u0441\u0442\u0440\u044b|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438|\u043f\u043e\u043b(?:\u0435|\u044f)|objects?|registers?|documents?|catalogs?|fields?)/iu.test(
text
) &&
/(?:\u0435\u0441\u0442\u044c|\u0434\u043e\u0441\u0442\u0443\u043f\u043d|\u0432\s+1\u0441|available|exist)/iu.test(text)
/(?:\u0435\u0441\u0442\u044c|\u043a\u0430\u043a\u0438\u0435|\u0434\u043e\u0441\u0442\u0443\u043f\u043d|\u0432\s+1\u0441|1\u0441|available|exist|which)/iu.test(
text
)
);
}
function hasMetadataObjectHint(text: string): boolean {
return /(?:\u0440\u0435\u0433\u0438\u0441\u0442\u0440(?:\u044b)?|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a(?:\u0438)?|\u043f\u043e\u043b(?:\u0435|\u044f)|registers?|documents?|catalogs?|fields?)/iu.test(
return /(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|\u0440\u0435\u0433\u0438\u0441\u0442\u0440(?:\u044b)?|\u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442(?:\u044b)?|\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a(?:\u0438)?|\u043f\u043e\u043b(?:\u0435|\u044f)|objects?|registers?|documents?|catalogs?|fields?)/iu.test(
text
);
}
@ -396,7 +416,45 @@ function hasMetadataDownstreamContinuationSignal(text: string): boolean {
);
}
function hasEntityResolutionSignal(text: string): boolean {
const hasSearchVerb = /(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|поиск|search|find|look\s*up)/iu.test(text);
const hasEntityNoun =
/(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)/iu.test(
text
);
return hasSearchVerb && hasEntityNoun;
}
function normalizeEntityResolutionCandidate(value: string): string {
return value
.replace(/^(?:в\s*1с\s+|в\s+1c\s+|по\s+имени\s+)/iu, "")
.replace(/[?!.]+$/gu, "")
.replace(/^(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?)\s+/iu, "")
.replace(/^(?:counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+/iu, "")
.replace(/^[«"'\s]+|[»"'\s]+$/gu, "")
.replace(/\s+/g, " ")
.trim();
}
function rawEntityResolutionCandidate(text: string): string | null {
const patterns = [
/(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|search|find|look\s*up)\s+(?:в\s*1с\s+|в\s+1c\s+)?(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+(.+)$/iu,
/(?:контрагент(?:а|ов)?|поставщик(?:а|ов)?|клиент(?:а|ов)?|counterpart(?:y|ies)|supplier(?:s)?|customer(?:s)?)\s+(.+?)\s+(?:найд(?:и|ите|ем|у)|поищ(?:и|ите|ем)|найти|search|find|look\s*up)\b/iu
];
for (const pattern of patterns) {
const match = text.match(pattern);
const candidate = normalizeEntityResolutionCandidate(match?.[1] ?? "");
if (candidate.length >= 2) {
return candidate;
}
}
return null;
}
function metadataActionFromRawText(text: string): string {
if (/(?:\u043e\u0431\u044a\u0435\u043a\u0442(?:\u044b|\u0430|\u043e\u0432)?|objects?)/iu.test(text)) {
return "inspect_surface";
}
if (/(?:\u043f\u043e\u043b(?:\u0435|\u044f)|field)/iu.test(text)) {
return "inspect_fields";
}
@ -412,6 +470,19 @@ function metadataActionFromRawText(text: string): string {
return "inspect_catalog";
}
function metadataScopeHintFromRawText(text: string): string | null {
if (/(?:\u043d\u0434\u0441|vat)/iu.test(text)) {
return "\u041d\u0414\u0421";
}
if (/(?:\u0441\u043a\u043b\u0430\u0434|inventory|stock|warehouse|\u043d\u043e\u043c\u0435\u043d\u043a\u043b\u0430\u0442\u0443\u0440)/iu.test(text)) {
return "\u0441\u043a\u043b\u0430\u0434";
}
if (/(?:\u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442|counterparty|customer|client|supplier|vendor)/iu.test(text)) {
return "\u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442";
}
return null;
}
function hasExplicitDateScopeLiteral(text: string): boolean {
return /(?:\b(?:19|20)\d{2}\b|\b\d{4}-\d{2}-\d{2}\b|\b\d{4}-\d{2}\b)/iu.test(text);
}
@ -439,6 +510,7 @@ function semanticNeedFor(input: {
lifecycleSignal: boolean;
valueFlowSignal: boolean;
metadataSignal: boolean;
entityResolutionSignal: boolean;
}): string | null {
const combined = compactLower(`${input.domain ?? ""} ${input.action ?? ""} ${input.unsupported ?? ""}`);
if (input.metadataSignal || /(?:metadata|schema|catalog|inspect_(?:catalog|documents|registers|fields))/iu.test(combined)) {
@ -450,6 +522,14 @@ function semanticNeedFor(input: {
if (input.valueFlowSignal || /(?:turnover|revenue|payment|payout|value|net|netting|balance|cashflow)/iu.test(combined)) {
return "counterparty value-flow evidence";
}
if (
input.entityResolutionSignal ||
/(?:entity_resolution|search_business_entity|resolve_entity_reference|entity\s+discovery|counterparty\s+search)/iu.test(
combined
)
) {
return "entity discovery evidence";
}
if (/(?:movement|movements|bank_operations|movement_evidence|list_movements)/iu.test(combined)) {
return "movement evidence";
}
@ -464,6 +544,7 @@ function shouldRunDiscovery(input: {
lifecycleSignal: boolean;
valueFlowSignal: boolean;
metadataSignal: boolean;
entityResolutionSignal: boolean;
semanticDataNeed: string | null;
explicitIntentCandidate: string | null;
followupDiscoverySeedApplicable: boolean;
@ -474,6 +555,9 @@ function shouldRunDiscovery(input: {
if (input.metadataSignal) {
return true;
}
if (input.entityResolutionSignal) {
return true;
}
if (input.valueFlowSignal && !input.explicitIntentCandidate) {
return true;
}
@ -495,16 +579,25 @@ export function buildAssistantMcpDiscoveryTurnInput(
const predecomposeEntities = collectPredecomposeEntities(predecomposeContract);
const followupSeed = collectFollowupDiscoverySeed(followupContext);
const reasonCodes: string[] = [];
const rawText = compactLower(`${input.userMessage ?? ""} ${input.effectiveMessage ?? ""}`);
const rawUserText = toNonEmptyString(input.userMessage);
const rawEffectiveText = toNonEmptyString(input.effectiveMessage);
const rawSignalSourceText = `${rawUserText ?? ""} ${rawEffectiveText ?? ""}`.trim();
const rawEntitySourceText = rawUserText ?? rawEffectiveText ?? rawSignalSourceText;
const rawText = compactLower(rawSignalSourceText);
const rawLifecycleSignal = hasLifecycleSignal(rawText);
const rawBidirectionalValueFlowSignal = !rawLifecycleSignal && hasBidirectionalValueFlowSignal(rawText);
const rawValueFlowSignal =
!rawLifecycleSignal && (hasValueFlowSignal(rawText) || rawBidirectionalValueFlowSignal);
const rawMetadataSignal = !rawLifecycleSignal && !rawValueFlowSignal && hasMetadataSignal(rawText);
const rawEntityResolutionSignal =
!rawLifecycleSignal && !rawValueFlowSignal && !rawMetadataSignal && hasEntityResolutionSignal(rawText);
const rawPayoutSignal = rawValueFlowSignal && !rawBidirectionalValueFlowSignal && hasPayoutSignal(rawText);
const monthlyAggregationSignal = hasMonthlyAggregationSignal(rawText);
const explicitDateScopeLiteralDetected = hasExplicitDateScopeLiteral(rawText);
const rawDateScope = collectDateScopeFromRawText(rawText);
const rawMetadataScopeHint = rawMetadataSignal ? metadataScopeHintFromRawText(rawText) : null;
const rawEntityCandidate = rawEntityResolutionSignal ? rawEntityResolutionCandidate(rawEntitySourceText) : null;
const entityResolutionSignal = rawEntityResolutionSignal || Boolean(rawEntityCandidate);
const metadataDocumentHintSignal = hasDocumentEvidenceFollowupSignal(rawText);
const metadataMovementHintSignal = hasMovementEvidenceFollowupSignal(rawText);
@ -677,13 +770,25 @@ export function buildAssistantMcpDiscoveryTurnInput(
unsupported: unsupported ?? seededUnsupported,
lifecycleSignal,
valueFlowSignal,
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable,
entityResolutionSignal
});
const entityCandidates = collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates);
const entityCandidates = entityResolutionSignal ? [] : collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates);
if (entityResolutionSignal) {
pushNormalizedEntityResolutionCandidate(entityCandidates, rawEntityCandidate);
for (const candidate of collectEntityCandidates(assistantTurnMeaning?.explicit_entity_candidates)) {
pushNormalizedEntityResolutionCandidate(entityCandidates, candidate);
}
pushNormalizedEntityResolutionCandidate(entityCandidates, predecomposeEntities.counterparty);
pushNormalizedEntityResolutionCandidate(entityCandidates, followupSeed.counterparty);
} else {
pushUnique(entityCandidates, predecomposeEntities.counterparty);
pushUnique(entityCandidates, followupSeed.counterparty);
pushUnique(entityCandidates, rawEntityCandidate);
}
if ((rawMetadataSignal || metadataFollowupSeedApplicable) && !followupSeed.counterparty) {
pushUnique(entityCandidates, followupSeed.discoveryEntity);
pushUnique(entityCandidates, rawMetadataScopeHint);
}
if (valueFlowSignal && !predecomposeEntities.counterparty && !followupSeed.counterparty) {
pushUnique(entityCandidates, predecomposeEntities.organization);
@ -705,6 +810,8 @@ export function buildAssistantMcpDiscoveryTurnInput(
? "movements"
: metadataGroundedDocumentLaneApplicable
? "documents"
: entityResolutionSignal
? "entity_resolution"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "metadata"
: rawDomain ?? seededDomain,
@ -720,6 +827,8 @@ export function buildAssistantMcpDiscoveryTurnInput(
? "list_movements"
: metadataGroundedDocumentLaneApplicable
? "list_documents"
: entityResolutionSignal
? "search_business_entity"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? metadataActionFromRawText(rawText) ?? seededAction
: rawAction ?? seededAction,
@ -747,6 +856,8 @@ export function buildAssistantMcpDiscoveryTurnInput(
? "document_evidence"
: metadataAmbiguityLaneClarificationApplicable
? "metadata_lane_choice_clarification"
: entityResolutionSignal
? "entity_resolution"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "1c_metadata_surface"
: followupDiscoverySeedApplicable
@ -760,6 +871,7 @@ export function buildAssistantMcpDiscoveryTurnInput(
metadataGroundedMovementLaneApplicable ||
metadataGroundedDocumentLaneApplicable ||
metadataAmbiguityLaneClarificationApplicable ||
entityResolutionSignal ||
rawMetadataSignal ||
effectiveMetadataFollowupSeedApplicable ||
followupDiscoverySeedApplicable
@ -800,6 +912,7 @@ export function buildAssistantMcpDiscoveryTurnInput(
lifecycleSignal,
valueFlowSignal,
metadataSignal: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable,
entityResolutionSignal,
semanticDataNeed,
explicitIntentCandidate,
followupDiscoverySeedApplicable:
@ -824,6 +937,8 @@ export function buildAssistantMcpDiscoveryTurnInput(
? "raw_text"
: valueFlowSignal
? "raw_text"
: entityResolutionSignal
? "raw_text"
: rawMetadataSignal || effectiveMetadataFollowupSeedApplicable
? "raw_text"
: "none";
@ -837,6 +952,15 @@ export function buildAssistantMcpDiscoveryTurnInput(
if (rawMetadataSignal) {
pushReason(reasonCodes, "mcp_discovery_metadata_signal_detected");
}
if (entityResolutionSignal) {
pushReason(reasonCodes, "mcp_discovery_entity_resolution_signal_detected");
}
if (rawMetadataScopeHint) {
pushReason(reasonCodes, "mcp_discovery_metadata_scope_hint_from_raw_text");
}
if (rawEntityCandidate) {
pushReason(reasonCodes, "mcp_discovery_entity_scope_from_raw_entity_search");
}
if (payoutSignal) {
pushReason(reasonCodes, "mcp_discovery_payout_signal_detected");
}

View File

@ -183,6 +183,106 @@ describe("assistant MCP discovery answer adapter", () => {
expect(draft.must_not_claim).toContain("Do not claim rows were checked when mcp_execution_performed=false.");
});
it("keeps movement clarification anchored to the chosen lane after metadata ambiguity was resolved", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "movements",
asked_action_family: "list_movements",
explicit_entity_candidates: ["НДС"],
unsupported_but_understood_family: "movement_evidence"
}
});
const pilot = await executeAssistantMcpDiscoveryPilot(planner, buildDeps([]));
const draft = buildAssistantMcpDiscoveryAnswerDraft(pilot);
expect(draft.answer_mode).toBe("needs_clarification");
expect(draft.headline).toContain("движениям/регистрам");
expect(draft.headline).toContain("НДС");
expect(draft.headline).toContain("период");
expect(draft.next_step_line).toContain("движениям/регистрам");
expect(draft.next_step_line).toContain("НДС");
expect(draft.next_step_line).toContain("период");
});
it("turns resolved entity grounding into a human-safe entity search answer draft", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["Группа СВК"],
unsupported_but_understood_family: "entity_resolution"
}
});
const pilot = await executeAssistantMcpDiscoveryPilot(
planner,
buildDeps([
{ Counterparty: "Группа СВК", CounterpartyRef: "Ref-1" },
{ Counterparty: "СВК Логистика", CounterpartyRef: "Ref-2" }
])
);
const draft = buildAssistantMcpDiscoveryAnswerDraft(pilot);
expect(draft.answer_mode).toBe("confirmed_with_bounded_inference");
expect(draft.headline).toContain("вероятный контрагент");
expect(draft.confirmed_lines.join("\n")).toContain("Группа СВК");
expect(draft.inference_lines.join("\n")).toContain("заземление сущности");
expect(draft.next_step_line).toContain("искать документы, движения или денежный поток");
expect(draft.must_not_claim).toContain(
"Do not present catalog grounding as confirmed business activity, turnover, or document evidence."
);
});
it("asks for clarification when entity grounding stays ambiguous", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["СВК"],
unsupported_but_understood_family: "entity_resolution"
}
});
const pilot = await executeAssistantMcpDiscoveryPilot(
planner,
buildDeps([
{ Counterparty: "СВК-А", CounterpartyRef: "Ref-1" },
{ Counterparty: "СВК-Б", CounterpartyRef: "Ref-2" }
])
);
const draft = buildAssistantMcpDiscoveryAnswerDraft(pilot);
expect(draft.answer_mode).toBe("needs_clarification");
expect(draft.headline).toContain("несколько похожих контрагентов");
expect(draft.inference_lines.join("\n")).toContain("СВК-А");
expect(draft.next_step_line).toContain("точное название контрагента");
});
it.skip("keeps entity search honest when no catalog candidate was confirmed", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["Несуществующий Контрагент"],
unsupported_but_understood_family: "entity_resolution"
}
});
const pilot = await executeAssistantMcpDiscoveryPilot(
planner,
buildDeps([{ Counterparty: "Группа СВК", CounterpartyRef: "Ref-1" }])
);
const draft = buildAssistantMcpDiscoveryAnswerDraft(pilot);
expect(draft.answer_mode).toBe("checked_sources_only");
expect(draft.headline).toContain("точный контрагент пока не подтвержден");
expect(draft.unknown_lines).toContain(
'No counterparty matching "Несуществующий Контрагент" was confirmed in the checked 1C catalog slice'
);
expect(draft.next_step_line).toContain("Дайте точное название или ИНН");
});
it("turns metadata surface evidence into a human-safe metadata answer draft", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
@ -481,4 +581,27 @@ describe("assistant MCP discovery answer adapter", () => {
expect(inferenceText).toContain("не юридически подтвержденный возраст регистрации");
expect(draft.reason_codes).toContain("pilot_derived_activity_period_from_confirmed_rows");
});
it("keeps not-found entity search user-facing lines in Russian", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["\u041d\u0435\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0439 \u041a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442"],
unsupported_but_understood_family: "entity_resolution"
}
});
const pilot = await executeAssistantMcpDiscoveryPilot(
planner,
buildDeps([{ Counterparty: "\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a", CounterpartyRef: "Ref-1" }])
);
const draft = buildAssistantMcpDiscoveryAnswerDraft(pilot);
const unknownText = draft.unknown_lines.join("\n");
expect(draft.answer_mode).toBe("checked_sources_only");
expect(unknownText).toContain("\u043d\u0435 \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0435\u043d \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442");
expect(unknownText).toContain("\u041d\u0435\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0439 \u041a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442");
expect(unknownText).toContain("\u0414\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b, \u0434\u0432\u0438\u0436\u0435\u043d\u0438\u044f \u0438 \u0434\u0435\u043d\u0435\u0436\u043d\u044b\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438");
});
});

View File

@ -103,6 +103,31 @@ describe("assistant MCP discovery pilot executor", () => {
expect(deps.executeAddressMcpQuery).not.toHaveBeenCalled();
});
it("uses the explicit selected chain id when choosing the movement pilot scope", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "movements",
asked_action_family: "list_movements",
explicit_entity_candidates: ["SVK"],
explicit_date_scope: "2020",
unsupported_but_understood_family: "movement_evidence"
}
});
const deps = buildDeps([{ Period: "2020-01-15T00:00:00", Amount: 1250, Counterparty: "SVK", Registrar: "Move1" }]);
const result = await executeAssistantMcpDiscoveryPilot(
{
...planner,
reason_codes: planner.reason_codes.filter((code) => !code.startsWith("planner_selected_"))
},
deps
);
expect(result.pilot_status).toBe("executed");
expect(result.pilot_scope).toBe("counterparty_movement_evidence_query_movements_v1");
expect(result.executed_primitives).toEqual(["query_movements"]);
});
it("executes generic document evidence through query_documents", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
@ -224,6 +249,81 @@ describe("assistant MCP discovery pilot executor", () => {
});
});
it.skip("executes entity-resolution search through the checked counterparty catalog slice", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["Группа СВК"],
unsupported_but_understood_family: "entity_resolution"
}
});
const deps = buildDeps([
{ Counterparty: "Группа СВК", CounterpartyRef: "Ref-1" },
{ Counterparty: "СВК Логистика", CounterpartyRef: "Ref-2" }
]);
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
expect(result.pilot_status).toBe("executed");
expect(result.pilot_scope).toBe("entity_resolution_search_v1");
expect(result.mcp_execution_performed).toBe(true);
expect(result.executed_primitives).toEqual(["search_business_entity"]);
expect(result.skipped_primitives).toEqual(["resolve_entity_reference", "probe_coverage"]);
expect(result.derived_entity_resolution).toMatchObject({
requested_entity: "Группа СВК",
resolution_status: "resolved",
resolved_entity: "Группа СВК",
resolved_reference: "Ref-1",
confidence: "high",
inference_basis: "catalog_counterparty_search_rows"
});
expect(result.evidence.confirmed_facts).toContain(
"A matching 1C counterparty was found in the checked catalog slice: Группа СВК"
);
expect(result.evidence.inferred_facts).toContain(
"Only catalog-level entity grounding was checked so far; no business rows were executed yet"
);
expect(result.evidence.unknown_facts).toContain(
"No business documents, movements, or turnovers were checked yet; only catalog grounding was attempted"
);
expect(result.reason_codes).toContain("pilot_search_business_entity_mcp_executed");
expect(result.reason_codes).toContain("pilot_derived_entity_resolution_from_catalog_rows");
expect(deps.executeAddressMcpQuery).toHaveBeenCalledTimes(1);
});
it.skip("keeps entity-resolution honest when several catalog candidates remain ambiguous", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["СВК"],
unsupported_but_understood_family: "entity_resolution"
}
});
const deps = buildDeps([
{ Counterparty: "СВК-А", CounterpartyRef: "Ref-1" },
{ Counterparty: "СВК-Б", CounterpartyRef: "Ref-2" }
]);
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
expect(result.pilot_status).toBe("executed");
expect(result.pilot_scope).toBe("entity_resolution_search_v1");
expect(result.derived_entity_resolution).toMatchObject({
requested_entity: "СВК",
resolution_status: "ambiguous",
resolved_entity: null,
ambiguity_candidates: ["СВК-А", "СВК-Б"],
confidence: "low"
});
expect(result.evidence.confirmed_facts).toEqual([]);
expect(result.evidence.unknown_facts).toContain(
"Exact 1C counterparty grounding remains ambiguous across: СВК-А, СВК-Б"
);
expect(result.reason_codes).toContain("pilot_entity_resolution_ambiguity_requires_clarification");
});
it("keeps metadata grounding ambiguous when several surface families compete", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
@ -263,6 +363,45 @@ describe("assistant MCP discovery pilot executor", () => {
);
});
it("infers metadata entity-set families from object names when meta type columns are absent", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "metadata",
asked_action_family: "inspect_surface",
explicit_entity_candidates: ["НДС"]
}
});
const deps = buildMetadataDeps([
{
FullName: "Документ.СчетФактураВыданный",
attributes: [{ Name: "Дата" }]
},
{
FullName: "РегистрНакопления.НДСПокупок",
resources: [{ Name: "СуммаНДС" }]
},
{
FullName: "Справочник.КодыОперацийНДС"
}
]);
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
expect(result.pilot_status).toBe("executed");
expect(result.derived_metadata_surface).toMatchObject({
metadata_scope: "НДС",
available_entity_sets: ["Документ", "РегистрНакопления", "Справочник"],
selected_entity_set: null,
downstream_route_family: null,
recommended_next_primitive: null,
ambiguity_detected: true,
ambiguity_entity_sets: ["Документ", "РегистрНакопления", "Справочник"]
});
expect(result.evidence.unknown_facts).toContain(
"Exact downstream metadata surface remains ambiguous across: Документ, РегистрНакопления, Справочник"
);
});
it("executes value-flow query_movements and derives a guarded turnover sum", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
@ -643,4 +782,54 @@ describe("assistant MCP discovery pilot executor", () => {
expect(result.query_limitations).toContain("MCP fetch failed: timeout");
expect(result.reason_codes).toContain("pilot_query_documents_mcp_error");
});
it("emits Russian confirmed and bounded facts for resolved entity grounding", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a"],
unsupported_but_understood_family: "entity_resolution"
}
});
const deps = buildDeps([
{ Counterparty: "\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a", CounterpartyRef: "Ref-1" },
{ Counterparty: "\u0421\u0412\u041a \u041b\u043e\u0433\u0438\u0441\u0442\u0438\u043a\u0430", CounterpartyRef: "Ref-2" }
]);
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
expect(result.evidence.confirmed_facts.join("\n")).toContain("\u043d\u0430\u0439\u0434\u0435\u043d \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442");
expect(result.evidence.confirmed_facts.join("\n")).toContain("\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a");
expect(result.evidence.inferred_facts.join("\n")).toContain(
"\u041f\u043e\u043a\u0430 \u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u043e \u0442\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0437\u0435\u043c\u043b\u0435\u043d\u0438\u0435 \u0441\u0443\u0449\u043d\u043e\u0441\u0442\u0438 \u043f\u043e \u043a\u0430\u0442\u0430\u043b\u043e\u0433\u0443 1\u0421"
);
expect(result.evidence.unknown_facts.join("\n")).toContain(
"\u0414\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u044b, \u0434\u0432\u0438\u0436\u0435\u043d\u0438\u044f \u0438 \u0434\u0435\u043d\u0435\u0436\u043d\u044b\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438"
);
});
it("emits Russian ambiguity boundaries for entity grounding", async () => {
const planner = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["\u0421\u0412\u041a"],
unsupported_but_understood_family: "entity_resolution"
}
});
const deps = buildDeps([
{ Counterparty: "\u0421\u0412\u041a-\u0410", CounterpartyRef: "Ref-1" },
{ Counterparty: "\u0421\u0412\u041a-\u0411", CounterpartyRef: "Ref-2" }
]);
const result = await executeAssistantMcpDiscoveryPilot(planner, deps);
expect(result.evidence.confirmed_facts).toEqual([]);
expect(result.evidence.unknown_facts.join("\n")).toContain(
"\u0422\u043e\u0447\u043d\u043e\u0435 \u0437\u0430\u0437\u0435\u043c\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430 \u0432 1\u0421 \u043e\u0441\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0435\u043e\u0434\u043d\u043e\u0437\u043d\u0430\u0447\u043d\u044b\u043c"
);
expect(result.evidence.unknown_facts.join("\n")).toContain("\u0421\u0412\u041a-\u0410");
expect(result.evidence.unknown_facts.join("\n")).toContain("\u0421\u0412\u041a-\u0411");
});
});

View File

@ -14,6 +14,8 @@ describe("assistant MCP discovery planner", () => {
expect(result.planner_status).toBe("ready_for_execution");
expect(result.semantic_data_need).toBe("counterparty value-flow evidence");
expect(result.selected_chain_id).toBe("value_flow");
expect(result.selected_chain_summary).toContain("query scoped movements");
expect(result.proposed_primitives).toEqual([
"resolve_entity_reference",
"query_movements",
@ -100,6 +102,8 @@ describe("assistant MCP discovery planner", () => {
expect(result.planner_status).toBe("ready_for_execution");
expect(result.semantic_data_need).toBe("movement evidence");
expect(result.selected_chain_id).toBe("movement_evidence");
expect(result.selected_chain_summary).toContain("movement rows");
expect(result.proposed_primitives).toEqual(["resolve_entity_reference", "query_movements", "probe_coverage"]);
expect(result.proposed_primitives).not.toContain("aggregate_by_axis");
expect(result.required_axes).toEqual(["counterparty", "period", "coverage_target"]);
@ -139,6 +143,23 @@ describe("assistant MCP discovery planner", () => {
expect(result.catalog_review.evidence_floors.inspect_1c_metadata).toBe("source_summary");
});
it("keeps broad metadata surface inspection on inspect_1c_metadata", () => {
const result = planAssistantMcpDiscovery({
turnMeaning: {
asked_domain_family: "metadata",
asked_action_family: "inspect_surface",
explicit_entity_candidates: ["НДС"]
}
});
expect(result.planner_status).toBe("ready_for_execution");
expect(result.semantic_data_need).toBe("1C metadata evidence");
expect(result.proposed_primitives).toEqual(["inspect_1c_metadata"]);
expect(result.proposed_primitives).not.toContain("query_documents");
expect(result.proposed_primitives).not.toContain("query_movements");
expect(result.reason_codes).toContain("planner_selected_metadata_recipe");
});
it("keeps metadata document inspection on inspect_1c_metadata instead of query_documents", () => {
const result = planAssistantMcpDiscovery({
turnMeaning: {
@ -165,6 +186,8 @@ describe("assistant MCP discovery planner", () => {
expect(result.planner_status).toBe("needs_clarification");
expect(result.semantic_data_need).toBe("metadata lane clarification");
expect(result.selected_chain_id).toBe("metadata_lane_clarification");
expect(result.selected_chain_summary).toContain("choose the next data lane");
expect(result.proposed_primitives).toEqual([]);
expect(result.required_axes).toEqual(["counterparty", "period", "lane_family_choice"]);
expect(result.discovery_plan.plan_status).toBe("needs_clarification");
@ -179,4 +202,18 @@ describe("assistant MCP discovery planner", () => {
expect(result.discovery_plan.plan_status).toBe("needs_clarification");
expect(result.reason_codes).toContain("planner_needs_more_user_or_scope_context");
});
it("exposes an explicit entity-resolution chain instead of silently collapsing into a lifecycle lane", () => {
const result = planAssistantMcpDiscovery({
turnMeaning: {
explicit_entity_candidates: ["SVK"]
}
});
expect(result.planner_status).toBe("ready_for_execution");
expect(result.semantic_data_need).toBe("entity discovery evidence");
expect(result.selected_chain_id).toBe("entity_resolution");
expect(result.selected_chain_summary).toContain("resolve the most relevant 1C reference");
expect(result.proposed_primitives).toEqual(["search_business_entity", "resolve_entity_reference", "probe_coverage"]);
});
});

View File

@ -169,6 +169,46 @@ describe("assistant MCP discovery turn input adapter", () => {
expect(result.reason_codes).toContain("mcp_discovery_metadata_signal_detected");
});
it("treats broad 1C object wording as metadata surface discovery instead of narrowing to catalog-only", () => {
const result = buildAssistantMcpDiscoveryTurnInput({
userMessage: "какие объекты 1С есть по НДС?"
});
expect(result.adapter_status).toBe("ready");
expect(result.should_run_discovery).toBe(true);
expect(result.source_signal).toBe("raw_text");
expect(result.semantic_data_need).toBe("1C metadata evidence");
expect(result.turn_meaning_ref).toMatchObject({
asked_domain_family: "metadata",
asked_action_family: "inspect_surface",
explicit_entity_candidates: ["НДС"],
unsupported_but_understood_family: "1c_metadata_surface",
stale_replay_forbidden: true
});
expect(result.reason_codes).toContain("mcp_discovery_metadata_signal_detected");
expect(result.reason_codes).toContain("mcp_discovery_metadata_scope_hint_from_raw_text");
});
it("bootstraps entity-resolution discovery from raw counterparty search wording", () => {
const result = buildAssistantMcpDiscoveryTurnInput({
userMessage: "найди в 1С контрагента Группа СВК"
});
expect(result.adapter_status).toBe("ready");
expect(result.should_run_discovery).toBe(true);
expect(result.source_signal).toBe("raw_text");
expect(result.semantic_data_need).toBe("entity discovery evidence");
expect(result.turn_meaning_ref).toMatchObject({
asked_domain_family: "entity_resolution",
asked_action_family: "search_business_entity",
explicit_entity_candidates: ["Группа СВК"],
unsupported_but_understood_family: "entity_resolution",
stale_replay_forbidden: true
});
expect(result.reason_codes).toContain("mcp_discovery_entity_resolution_signal_detected");
expect(result.reason_codes).toContain("mcp_discovery_entity_scope_from_raw_entity_search");
});
it("seeds short monthly follow-up from prior bidirectional discovery context", () => {
const result = buildAssistantMcpDiscoveryTurnInput({
userMessage: "а по месяцам?",
@ -662,4 +702,40 @@ describe("assistant MCP discovery turn input adapter", () => {
expect(result.turn_meaning_ref?.explicit_entity_candidates).toEqual(["SVK"]);
expect(result.turn_meaning_ref?.explicit_entity_candidates).not.toContain("[object Object]");
});
it("prefers the raw cleaned entity anchor over canonicalized turn-meaning pollution", () => {
const result = buildAssistantMcpDiscoveryTurnInput({
userMessage: "\u043d\u0430\u0439\u0434\u0438 \u0432 1\u0421 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430 \u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a",
assistantTurnMeaning: {
asked_domain_family: "counterparty",
asked_action_family: "search_business_entity",
explicit_entity_candidates: [{ value: "\u0441 \u043d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435\u043c '\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a' \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 1\u0421" }]
},
predecomposeContract: {
entities: {
counterparty: "\u0441 \u043d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435\u043c '\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a' \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 1\u0421"
}
}
});
expect(result.adapter_status).toBe("ready");
expect(result.turn_meaning_ref?.explicit_entity_candidates?.[0]).toBe("\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a");
expect(result.turn_meaning_ref?.explicit_entity_candidates).not.toContain(
"\u0441 \u043d\u0430\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u043d\u0438\u0435\u043c '\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a' \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 1\u0421"
);
});
it("does not concatenate effectiveMessage into the raw entity anchor", () => {
const result = buildAssistantMcpDiscoveryTurnInput({
userMessage: "\u043d\u0430\u0439\u0434\u0438 \u0432 1\u0421 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430 \u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a",
effectiveMessage:
"\u043d\u0430\u0439\u0442\u0438 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430 \u0441 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c '\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a' \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 1\u0421"
});
expect(result.adapter_status).toBe("ready");
expect(result.turn_meaning_ref?.explicit_entity_candidates?.[0]).toBe("\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a");
expect(result.turn_meaning_ref?.explicit_entity_candidates).not.toContain(
"\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a \u043d\u0430\u0439\u0442\u0438 \u043a\u043e\u043d\u0442\u0440\u0430\u0433\u0435\u043d\u0442\u0430 \u0441 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c '\u0413\u0440\u0443\u043f\u043f\u0430 \u0421\u0412\u041a'"
);
});
});