import type { OntologyView } from '../model/kind-registry.js';
import type { ImportRecipe, ColumnMapping } from './recipes.js';
export type { ColumnMapping };
/**
 * Infer column mappings for a set of spreadsheet headers.
 *
 * Strategy:
 * 1. If a `recipe` is provided, match each header against recipe.columnMappings
 *    using case-insensitive exact match.
 * 2. Fall back to a built-in heuristic for common column name patterns.
 * 3. Unrecognised columns pass through as dynamic attributes (camelCase normalised).
 *
 * Returns one ColumnMapping per *input* header. `targetAttribute` is `null`
 * (represented as empty string) for columns that should be skipped.
 */
export declare function inferColumnMappings(headers: string[], recipe?: ImportRecipe): ColumnMapping[];
export interface MappedCsvResult {
    /** Standard elements CSV text ready for parseElementsCsv() */
    csv: string;
    /** Headers that had no mapping and were skipped */
    skippedColumns: string[];
    /** Warnings about missing required mappings or value transforms */
    warnings: string[];
}
/**
 * Apply a set of column mappings to raw spreadsheet rows and produce a
 * standard MEMO elements CSV string.
 *
 * @param rawRows    Rows from the source spreadsheet (header → cell value)
 * @param mappings   Mappings returned by inferColumnMappings()
 * @param config     Resolved MEMO config (used to auto-set kind if not mapped)
 * @param defaultKind  Kind to use when no kind column is present
 */
export declare function applyColumnMappings(rawRows: Record<string, string>[], mappings: ColumnMapping[], ontology: OntologyView, defaultKind?: string): MappedCsvResult;
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