import { Schema } from "./validationSchema";
/**
 * Validates data against a defined schema, checking for required fields, data types,
 * and additional constraints (e.g., min/max values, pattern matching).
 *
 * @function validate
 * @param {Schema} schema - A validation schema specifying rules for each field,
 * including type, required status, minimum/maximum constraints, and pattern matching.
 * @param {any} data - The input data to be validated against the schema.
 * @returns {string[]} - An array of validation error messages. If validation passes,
 * the array will be empty.
 *
 * @description This function iterates through each key in the provided schema to validate
 * the corresponding field in the data. It performs the following checks:
 * - **Required Fields**: Ensures required fields are present.
 * - **Type Validation**: Validates the type (e.g., string, number, boolean, array, object, date).
 * - **String Constraints**: Checks min/max length and pattern matching for strings.
 * - **Number Constraints**: Enforces min/max values for numbers.
 * - **Array Validation**: Validates arrays of strings or numbers.
 * - **Object Validation**: Supports nested object validation through recursive calls.
 * - **Enum Validation**: Confirms values match one of a specified list.
 *
 * @example
 * const schema = {
 *     name: { type: "string", required: true, minLength: 3 },
 *     age: { type: "number", min: 18, max: 99 },
 *     preferences: { type: "array:string" },
 * };
 *
 * const data = { name: "Alice", age: 25, preferences: ["reading", "swimming"] };
 * const errors = validate(schema, data);
 *
 * @remarks
 * This function provides a centralized validation approach to enforce data integrity and
 * prevent invalid inputs from entering the application, supporting a uniform data format.
 * If validation fails, it returns an array of descriptive error messages, highlighting the
 * fields that do not meet the specified criteria.
 */
export declare function validate(schema: Schema, data: any): string[];