/**
 * @copyright Sister Software
 * @license AGPL-3.0
 * @author Teffen Ellis, et al.
 *
 * CSV → SQLite ingest tool.
 *
 * The tool reads a CSV and samples rows to infer column types.
 * It creates a SQLite table and imports all rows.
 * It handles quoted fields, null-like values and duplicate column names.
 *
 * ## Usage
 *
 *   ```sh
 *   mailwoman corpus ingest-csv \
 *   --input /data/corpus/sources/usgov-nppes/npidata_pfile.csv \
 *   --table nppes_providers \
 *   --output /data/corpus/sources/usgov-nppes/nppes.db
 * ```
 *
 * Options:
 * --input <path> Required CSV path
 * --table <name> Table name (default: from filename)
 * --output <path> DB path (default: input dir/<table>.db)
 * --sample <n> Rows used for type inference (default: 100)
 * --separator <char> Field delimiter (default: ,)
 * --skip <n> Lines to skip before header (default: 0)
 * --no-header Treat CSV as headerless (col_0, col_1, ...)
 * --dry-run Print inferred schema, skip import
 */
/**
 * Options for {@linkcode ingestCSV}.
 * `table` and `output` default from `input`.
 */
export interface IngestCSVOptions {
    input: string;
    table?: string;
    output?: string;
    sample?: number;
    separator?: string;
    skip?: number;
    noHeader?: boolean;
    dryRun?: boolean;
}
/**
 * Ingest a CSV into SQLite: infer column types from a sample, create the table, import the rows.
 *
 * @throws When `input` does not exist.
 */
export declare function ingestCSV(options: IngestCSVOptions): Promise<void>;
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