import { FakeData as CoreFakeData } from "../../core/src/fakeData.js";
import type { FieldDefinition } from "./types.js";
/**
 * True when the table/model name looks like a product catalogue, so a generic
 * `name` column should seed a product name, not a person name. With NO table
 * context (undefined/null/empty) this is false, so the person-name default is
 * kept — back-compat. Exported (not via the barrel) so seeding tests can assert
 * it directly, mirroring the Python master's `_is_product_table`.
 */
export declare function isProductTable(table?: string | null): boolean;
/**
 * ORM-aware FakeData — wraps the core FakeData and adds forField()
 * which generates appropriate fake data based on an ORM FieldDefinition.
 */
export declare class FakeData extends CoreFakeData {
    constructor(seed?: number);
    /**
     * Generate a Date object within a year range.
     * Matches the Python API's datetime() method.
     */
    datetime(startYear?: number, endYear?: number): Date;
    private heuristicValue;
    private stringValue;
    private typedValue;
    /**
     * Generate a fake value appropriate for an ORM field definition.
     * Respects min/max, minLength/maxLength, and type constraints.
     *
     * @param fieldDef - An ORM FieldDefinition object
     * @param columnName - Optional column name for heuristic matching (e.g. "email", "phone")
     * @param table - Optional table/model name. A generic `name`/`full_name`
     *   column on a product-ish table (see {@link isProductTable}) gets a
     *   product name; with no table context it stays a person name (back-compat).
     */
    forField(fieldDef: FieldDefinition, columnName?: string, table?: string): unknown;
}