"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.ASSISTANT_MCP_DISCOVERY_ANSWER_DRAFT_SCHEMA_VERSION = void 0;
exports.buildAssistantMcpDiscoveryAnswerDraft = buildAssistantMcpDiscoveryAnswerDraft;
exports.ASSISTANT_MCP_DISCOVERY_ANSWER_DRAFT_SCHEMA_VERSION = "assistant_mcp_discovery_answer_draft_v1";
function normalizeReasonCode(value) {
    const normalized = value
        .trim()
        .replace(/[^\p{L}\p{N}_.:-]+/gu, "_")
        .replace(/^_+|_+$/g, "")
        .toLowerCase();
    return normalized.length > 0 ? normalized.slice(0, 120) : null;
}
function pushReason(target, value) {
    const normalized = normalizeReasonCode(value);
    if (normalized && !target.includes(normalized)) {
        target.push(normalized);
    }
}
function uniqueStrings(values) {
    const result = [];
    for (const value of values) {
        const text = String(value ?? "").trim();
        if (text && !result.includes(text)) {
            result.push(text);
        }
    }
    return result;
}
function isInternalMechanicsLine(value) {
    const text = value.toLowerCase();
    return (text.includes("primitive") ||
        text.includes("query_documents") ||
        text.includes("query_movements") ||
        text.includes("resolve_entity_reference") ||
        text.includes("probe_coverage") ||
        text.includes("explain_evidence_basis") ||
        text.includes("pilot_only_executes") ||
        text.includes("runtime_") ||
        text.includes("planner_") ||
        text.includes("catalog_"));
}
function userFacingLimitations(values) {
    return uniqueStrings(values).filter((value) => !isInternalMechanicsLine(value));
}
function modeFor(pilot) {
    if (pilot.pilot_status === "blocked") {
        return "blocked";
    }
    if (pilot.pilot_status === "skipped_needs_clarification") {
        return "needs_clarification";
    }
    if (pilot.evidence.answer_permission === "confirmed_answer") {
        return "confirmed_with_bounded_inference";
    }
    if (pilot.evidence.answer_permission === "bounded_inference") {
        return "bounded_inference_only";
    }
    return "checked_sources_only";
}
function headlineFor(mode) {
    if (mode === "confirmed_with_bounded_inference") {
        return "По данным 1С есть подтвержденная активность; длительность можно оценивать только как вывод из этих строк.";
    }
    if (mode === "bounded_inference_only") {
        return "Точный факт не подтвержден, но есть ограниченная оценка по найденной активности в 1С.";
    }
    if (mode === "needs_clarification") {
        return "Нужно уточнить контекст перед поиском в 1С.";
    }
    if (mode === "blocked") {
        return "Поиск в 1С заблокирован runtime-политикой до выполнения.";
    }
    return "Я проверил доступный контур, но подтвержденного факта для ответа не получил.";
}
function nextStepFor(mode, pilot) {
    if (mode === "needs_clarification") {
        return "Уточните контрагента, период или организацию, и я смогу выполнить проверку по 1С.";
    }
    if (mode === "checked_sources_only" && pilot.query_limitations.length > 0) {
        return "Можно повторить проверку после восстановления MCP-доступа или сузить вопрос до конкретного контрагента/периода.";
    }
    if (mode === "blocked") {
        return "Нужно сначала снять policy/blocking причину, иначе данные 1С использовать нельзя.";
    }
    return null;
}
function buildMustNotClaim(pilot) {
    const claims = [
        "Do not claim legal registration age unless a legal registration source is confirmed.",
        "Do not present inferred activity duration as a formally confirmed legal fact.",
        "Do not expose MCP primitive names, query text, debug ids, or internal execution mechanics in the user answer.",
        "Do not claim rows were checked when mcp_execution_performed=false."
    ];
    if (pilot.evidence.confirmed_facts.length === 0) {
        claims.push("Do not claim a confirmed business fact when confirmed_facts is empty.");
    }
    return claims;
}
function buildAssistantMcpDiscoveryAnswerDraft(pilot) {
    const mode = modeFor(pilot);
    const reasonCodes = [...pilot.reason_codes, ...pilot.evidence.reason_codes];
    pushReason(reasonCodes, `answer_mode_${mode}`);
    if (pilot.evidence.unknown_facts.length > 0) {
        pushReason(reasonCodes, "answer_contains_unknown_fact_boundary");
    }
    if (pilot.evidence.inferred_facts.length > 0) {
        pushReason(reasonCodes, "answer_contains_bounded_inference");
    }
    return {
        schema_version: exports.ASSISTANT_MCP_DISCOVERY_ANSWER_DRAFT_SCHEMA_VERSION,
        policy_owner: "assistantMcpDiscoveryAnswerAdapter",
        answer_mode: mode,
        headline: headlineFor(mode),
        confirmed_lines: uniqueStrings(pilot.evidence.confirmed_facts),
        inference_lines: uniqueStrings(pilot.evidence.inferred_facts),
        unknown_lines: uniqueStrings(pilot.evidence.unknown_facts),
        limitation_lines: userFacingLimitations([...pilot.query_limitations, ...pilot.evidence.query_limitations]),
        next_step_line: nextStepFor(mode, pilot),
        internal_mechanics_allowed: false,
        must_not_claim: buildMustNotClaim(pilot),
        reason_codes: uniqueStrings(reasonCodes)
    };
}