import { LogLevel } from './logger';
/**
 * Cache for tracking file modifications for incremental compilation
 */
export interface FileInfo {
    timestamp: number;
    contentHash: string;
}
/**
 * Configuration options for the Type Compiler
 */
export interface TypeCompilerOptions {
    /**
     * When true, automatically generate Zod schemas for
     * interfaces and type aliases
     */
    generateZodSchemas?: boolean;
    /**
     * When true, validate any types during compilation
     */
    strictTypeChecking?: boolean;
    /**
     * Prefix for generated Zod schema variables
     */
    zodSchemaPrefix?: string;
    /**
     * When true, generate validation functions for class methods
     */
    validateClassMethods?: boolean;
    /**
     * When true, only generate schemas for exported types
     */
    onlyExported?: boolean;
    /**
     * List of specific type names to include in schema generation
     * even if they don't match other inclusion criteria
     */
    includedTypes?: string[];
    /**
     * List of specific type names to exclude from schema generation
     * even if they match other inclusion criteria
     */
    excludedTypes?: string[];
    /**
     * Glob patterns of files to exclude from processing
     */
    excludePatterns?: string[];
    /**
     * When true, enables the global type cache for improved performance
     */
    useGlobalCache?: boolean;
    /**
     * Maximum number of entries to keep in the global type cache
     */
    maxCacheSize?: number;
    /**
     * When true, enables incremental compilation, only processing files that have changed
     */
    incrementalCompilation?: boolean;
    /**
     * Path to store the incremental compilation cache
     * If not provided, cache is kept in memory only for the current session
     */
    incrementalCachePath?: string;
    /**
     * When true, enables parallel processing of types using worker threads
     */
    parallelProcessing?: boolean;
    /**
     * Number of worker threads to use for parallel processing
     * If not provided, defaults to the number of CPU cores - 1 (minimum 1)
     */
    workerCount?: number;
    /**
     * Maximum number of types to process in a single worker batch
     */
    workerBatchSize?: number;
    /**
     * When true, skips importing Zod schemas
     */
    skipZodImport?: boolean;
    /**
     * Explicitly set the log level
     */
    logLevel?: LogLevel;
    /**
     * When true, outputs more detailed logs (sets logLevel to INFO if logLevel not specified)
     */
    verbose?: boolean;
    /**
     * When true, outputs debug information (sets logLevel to DEBUG if logLevel not specified)
     */
    debug?: boolean;
    /**
     * When true, suppresses all non-error output (sets logLevel to ERROR if logLevel not specified)
     */
    silent?: boolean;
    /**
     * When true, logs will include timing information for performance analysis
     */
    logPerformance?: boolean;
    /**
     * Path to write logs to a file in addition to console output
     */
    logFilePath?: string;
    /**
     * When true, disables color output in logs
     */
    noColor?: boolean;
    /**
     * Custom Zod validators for specific field names
     *
     * The key is the field name to match, and the value is the Zod validator expression to use
     * or an object with validator and errorMessage properties.
     *
     * Examples:
     * - { "email": "z.string().email()" }
     * - { "email": { validator: "z.string().email()", errorMessage: "Please enter a valid email" } }
     *
     * You can also use regex patterns by specifying an object with pattern and validator properties:
     * { "^.*Email$": { pattern: true, validator: "z.string().email()" } }
     * or
     * { "^.*Email$": { pattern: true, validator: "z.string().email()", errorMessage: "Must be a valid email" } }
     */
    specialFieldValidators?: Record<string, string | {
        pattern: boolean;
        validator: string;
        errorMessage?: string;
    } | {
        validator: string;
        errorMessage?: string;
    }>;
    /**
     * Contextual validators for specific parent type + field name combinations
     *
     * This allows more specific validation than specialFieldValidators by considering
     * the parent type that contains the field.
     *
     * The key is the parent type name, and the value is a record of field validators:
     * {
     *   "User": {
     *     "email": "z.string().email().endsWith('@company.com')",
     *     // Or with custom error message:
     *     "role": {
     *       "validator": "z.enum(['admin', 'user', 'guest'])",
     *       "errorMessage": "Role must be one of: admin, user, or guest"
     *     }
     *   }
     * }
     *
     * You can also use regex patterns for parent type names:
     * {
     *   "^.*User$": {
     *     "pattern": true,
     *     "fields": {
     *       "role": "z.enum(['admin', 'user', 'guest'])",
     *       // Or with custom error message:
     *       "email": {
     *         "validator": "z.string().email()",
     *         "errorMessage": "Please enter a valid email"
     *       }
     *     }
     *   }
     * }
     *
     * Contextual validators take precedence over specialFieldValidators when both match.
     */
    contextualValidators?: Record<string, Record<string, string | {
        validator: string;
        errorMessage?: string;
    }> | {
        pattern: boolean;
        fields: Record<string, string | {
            validator: string;
            errorMessage?: string;
        }>;
    }>;
}
/**
 * Default compiler options
 */
export declare const defaultCompilerOptions: TypeCompilerOptions;
/**
 * Worker task data structure
 */
export interface WorkerTaskData {
    taskId: string;
    typeData: {
        name: string;
        kind: string;
        flags: number;
        [key: string]: any;
    };
    options: TypeCompilerOptions;
}
/**
 * Worker result data structure
 */
export interface WorkerResultData {
    success: boolean;
    result?: string;
    error?: string;
    taskId: string;
}
/**
 * Queue task structure
 */
export interface QueueTask {
    taskId: string;
    data: WorkerTaskData;
    resolve: (result: string) => void;
    reject: (error: Error) => void;
}