"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.ASSISTANT_MCP_DISCOVERY_PLANNER_SCHEMA_VERSION = void 0;
exports.planAssistantMcpDiscovery = planAssistantMcpDiscovery;
const assistantMcpDiscoveryPolicy_1 = require("./assistantMcpDiscoveryPolicy");
const assistantMcpCatalogIndex_1 = require("./assistantMcpCatalogIndex");
exports.ASSISTANT_MCP_DISCOVERY_PLANNER_SCHEMA_VERSION = "assistant_mcp_discovery_planner_v1";
function toNonEmptyString(value) {
    if (value === null || value === undefined) {
        return null;
    }
    const text = String(value).trim();
    return text.length > 0 ? text : null;
}
function lower(value) {
    return String(value ?? "").trim().toLowerCase();
}
function normalizeReasonCode(value) {
    const normalized = value
        .trim()
        .replace(/[^\p{L}\p{N}_.:-]+/gu, "_")
        .replace(/^_+|_+$/g, "")
        .toLowerCase();
    return normalized.length > 0 ? normalized.slice(0, 120) : null;
}
function pushReason(target, value) {
    const normalized = normalizeReasonCode(value);
    if (normalized && !target.includes(normalized)) {
        target.push(normalized);
    }
}
function pushUnique(target, value) {
    const text = value.trim();
    if (text && !target.includes(text)) {
        target.push(text);
    }
}
function hasEntity(meaning) {
    return (meaning?.explicit_entity_candidates?.length ?? 0) > 0;
}
function hasSubjectCandidates(graph) {
    return (graph?.subject_candidates.length ?? 0) > 0;
}
function aggregationAxis(meaning) {
    return toNonEmptyString(meaning?.asked_aggregation_axis)?.toLowerCase() ?? null;
}
function addScopeAxes(axes, meaning) {
    if (hasEntity(meaning)) {
        pushUnique(axes, "counterparty");
    }
    if (toNonEmptyString(meaning?.explicit_organization_scope)) {
        pushUnique(axes, "organization");
    }
    if (toNonEmptyString(meaning?.explicit_date_scope)) {
        pushUnique(axes, "period");
    }
}
function includesAny(text, tokens) {
    return tokens.some((token) => text.includes(token));
}
function isYearDateScope(meaning) {
    return /^\d{4}$/.test(toNonEmptyString(meaning?.explicit_date_scope) ?? "");
}
function budgetOverrideFor(input, recipe) {
    const meaning = input.turnMeaning ?? null;
    const requestedAggregationAxis = aggregationAxis(meaning);
    const isValueFlowRecipe = recipe.semanticDataNeed === "counterparty value-flow evidence" &&
        recipe.primitives.includes("query_movements");
    if (!isValueFlowRecipe) {
        return {};
    }
    if (requestedAggregationAxis === "month" || isYearDateScope(meaning)) {
        return {
            maxProbeCount: 30
        };
    }
    return {};
}
function recipeFor(input) {
    const meaning = input.turnMeaning ?? null;
    const dataNeedGraph = input.dataNeedGraph ?? null;
    const domain = lower(meaning?.asked_domain_family);
    const action = lower(meaning?.asked_action_family);
    const unsupported = lower(meaning?.unsupported_but_understood_family);
    const graphFactFamily = lower(dataNeedGraph?.business_fact_family);
    const graphAction = lower(dataNeedGraph?.action_family);
    const graphAggregation = lower(dataNeedGraph?.aggregation_need);
    const graphClarificationGaps = (dataNeedGraph?.clarification_gaps ?? []).map((item) => lower(item));
    const organizationScope = toNonEmptyString(meaning?.explicit_organization_scope);
    const combined = `${domain} ${action} ${unsupported}`.trim();
    const axes = [];
    const requestedAggregationAxis = aggregationAxis(meaning);
    addScopeAxes(axes, meaning);
    if (graphClarificationGaps.includes("lane_family_choice")) {
        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_from_data_need_graph"
        };
    }
    if (graphFactFamily === "value_flow") {
        if (dataNeedGraph?.comparison_need === "incoming_vs_outgoing" && !hasSubjectCandidates(dataNeedGraph)) {
            pushUnique(axes, "amount");
            pushUnique(axes, "coverage_target");
            if (requestedAggregationAxis === "month" || graphAggregation === "by_month") {
                pushUnique(axes, "calendar_month");
            }
            return {
                semanticDataNeed: "bidirectional value-flow comparison evidence",
                chainId: "value_flow_comparison",
                chainSummary: "Query incoming and outgoing movements for the checked period and organization, compare the checked sides, and probe coverage before answering a bounded comparison.",
                primitives: ["query_movements", "probe_coverage"],
                axes,
                reason: "planner_selected_bidirectional_value_flow_comparison_from_data_need_graph"
            };
        }
        if (dataNeedGraph?.ranking_need && !hasSubjectCandidates(dataNeedGraph)) {
            pushUnique(axes, "aggregate_axis");
            pushUnique(axes, "amount");
            pushUnique(axes, "coverage_target");
            return {
                semanticDataNeed: "ranked value-flow evidence",
                chainId: "value_flow_ranking",
                chainSummary: "Query scoped movements for the checked period and organization, aggregate checked amounts by counterparty, then probe coverage before answering a bounded ranking.",
                primitives: ["query_movements", "aggregate_by_axis", "probe_coverage"],
                axes,
                reason: dataNeedGraph.ranking_need === "bottom_asc"
                    ? "planner_selected_bottom_ranked_value_flow_from_data_need_graph"
                    : "planner_selected_top_ranked_value_flow_from_data_need_graph"
            };
        }
        if (!hasSubjectCandidates(dataNeedGraph) && organizationScope) {
            pushUnique(axes, "aggregate_axis");
            pushUnique(axes, "amount");
            pushUnique(axes, "coverage_target");
            if (requestedAggregationAxis === "month" || graphAggregation === "by_month") {
                pushUnique(axes, "calendar_month");
            }
            return {
                semanticDataNeed: "organization-scoped value-flow evidence",
                chainId: "value_flow",
                chainSummary: "Query scoped movements for the checked period and organization without a preselected counterparty, aggregate checked amounts, then probe coverage before answering a bounded total.",
                primitives: ["query_movements", "aggregate_by_axis", "probe_coverage"],
                axes,
                reason: requestedAggregationAxis === "month" || graphAggregation === "by_month"
                    ? "planner_selected_monthly_open_scope_value_flow_total_from_data_need_graph"
                    : "planner_selected_open_scope_value_flow_total_from_data_need_graph"
            };
        }
        pushUnique(axes, "aggregate_axis");
        pushUnique(axes, "amount");
        pushUnique(axes, "coverage_target");
        if (requestedAggregationAxis === "month" || graphAggregation === "by_month") {
            pushUnique(axes, "calendar_month");
        }
        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" || graphAggregation === "by_month"
                ? "planner_selected_monthly_value_flow_from_data_need_graph"
                : "planner_selected_value_flow_from_data_need_graph"
        };
    }
    if (graphFactFamily === "activity_lifecycle") {
        pushUnique(axes, "document_date");
        pushUnique(axes, "coverage_target");
        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_from_data_need_graph"
        };
    }
    if (graphFactFamily === "schema_surface") {
        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_from_data_need_graph"
        };
    }
    if (graphFactFamily === "movement_evidence") {
        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_from_data_need_graph"
        };
    }
    if (graphFactFamily === "document_evidence") {
        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_from_data_need_graph"
        };
    }
    if (graphFactFamily === "entity_grounding" || (!graphFactFamily && (dataNeedGraph?.subject_candidates.length ?? 0) > 0)) {
        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: graphAction === "search_business_entity"
                ? "planner_selected_entity_resolution_from_data_need_graph"
                : "planner_selected_entity_resolution_recipe"
        };
    }
    if (includesAny(combined, ["metadata_lane_choice_clarification", "resolve_next_lane"])) {
        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"
        };
    }
    if (includesAny(combined, ["turnover", "revenue", "payment", "payout", "value", "net", "netting", "balance", "cashflow"])) {
        pushUnique(axes, "aggregate_axis");
        pushUnique(axes, "amount");
        pushUnique(axes, "coverage_target");
        if (requestedAggregationAxis === "month") {
            pushUnique(axes, "calendar_month");
        }
        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"
                ? "planner_selected_monthly_value_flow_recipe"
                : "planner_selected_value_flow_recipe"
        };
    }
    if (includesAny(combined, ["lifecycle", "activity", "duration", "age"])) {
        pushUnique(axes, "document_date");
        pushUnique(axes, "coverage_target");
        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"
        };
    }
    if (includesAny(combined, ["metadata", "schema", "catalog"])) {
        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"
        };
    }
    if (includesAny(combined, ["movement", "movements", "bank_operations", "movement_evidence", "list_movements"])) {
        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"
        };
    }
    if (includesAny(combined, ["document", "documents"])) {
        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"
        };
    }
    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"
        };
    }
    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"
    };
}
function statusFrom(plan, review) {
    if (plan.plan_status === "blocked" || review.review_status === "catalog_blocked") {
        return "blocked";
    }
    if (plan.plan_status !== "allowed" || review.review_status !== "catalog_compatible") {
        return "needs_clarification";
    }
    return "ready_for_execution";
}
function planAssistantMcpDiscovery(input) {
    const recipe = recipeFor(input);
    const budgetOverride = budgetOverrideFor(input, recipe);
    const semanticDataNeed = toNonEmptyString(input.semanticDataNeed) ?? recipe.semanticDataNeed;
    const dataNeedGraph = input.dataNeedGraph ?? null;
    const reasonCodes = [];
    pushReason(reasonCodes, recipe.reason);
    if (dataNeedGraph) {
        pushReason(reasonCodes, "planner_consumed_data_need_graph_v1");
    }
    if (budgetOverride.maxProbeCount) {
        pushReason(reasonCodes, "planner_enabled_chunked_coverage_probe_budget");
    }
    const plan = (0, assistantMcpDiscoveryPolicy_1.buildAssistantMcpDiscoveryPlan)({
        semanticDataNeed,
        turnMeaning: input.turnMeaning,
        proposedPrimitives: recipe.primitives,
        requiredAxes: recipe.axes,
        maxProbeCount: budgetOverride.maxProbeCount
    });
    const review = (0, assistantMcpCatalogIndex_1.reviewAssistantMcpDiscoveryPlanAgainstCatalog)(plan);
    const plannerStatus = statusFrom(plan, review);
    if (plannerStatus === "ready_for_execution") {
        pushReason(reasonCodes, "planner_ready_for_guarded_mcp_execution");
    }
    else if (plannerStatus === "blocked") {
        pushReason(reasonCodes, "planner_blocked_by_policy_or_catalog");
    }
    else {
        pushReason(reasonCodes, "planner_needs_more_user_or_scope_context");
    }
    return {
        schema_version: exports.ASSISTANT_MCP_DISCOVERY_PLANNER_SCHEMA_VERSION,
        policy_owner: "assistantMcpDiscoveryPlanner",
        planner_status: plannerStatus,
        semantic_data_need: semanticDataNeed,
        data_need_graph: dataNeedGraph,
        selected_chain_id: recipe.chainId,
        selected_chain_summary: recipe.chainSummary,
        proposed_primitives: recipe.primitives,
        required_axes: recipe.axes,
        discovery_plan: plan,
        catalog_review: review,
        reason_codes: reasonCodes
    };
}