@juspay/neurolink/dist/utils/csvProcessor.d.ts

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/**
 * CSV Processing Utility
 * Converts CSV files to LLM-friendly text formats
 * Uses streaming for memory efficiency with large files
 */
import type { FileProcessingResult, CSVProcessorOptions } from "../types/index.js";
/**
 * CSV processor for converting CSV data to LLM-optimized formats
 *
 * Supports three output formats:
 * - raw: Original CSV format with proper escaping (RECOMMENDED for best LLM performance)
 * - json: JSON array format (best for structured data processing)
 * - markdown: Markdown table format (best for small datasets <100 rows)
 *
 * All formats use csv-parser for reliable parsing, then convert to the target format.
 *
 * @example
 * ```typescript
 * const csvBuffer = Buffer.from('name,age\nAlice,30\nBob,25');
 * const result = await CSVProcessor.process(csvBuffer, {
 *   maxRows: 1000,
 *   formatStyle: 'raw'
 * });
 * console.log(result.content); // CSV string with proper escaping
 * ```
 */
export declare class CSVProcessor {
    /**
     * Process CSV Buffer to LLM-friendly format
     * Content already loaded by FileDetector
     *
     * @param content - CSV file as Buffer
     * @param options - Processing options
     * @returns Formatted CSV data ready for LLM (JSON or Markdown)
     */
    static process(content: Buffer, options?: CSVProcessorOptions): Promise<FileProcessingResult>;
    /**
     * Parse CSV string into array of row objects using streaming
     * Memory-efficient for large files
     */
    /**
     * Parse CSV file from disk using streaming (memory efficient)
     *
     * @param filePath - Path to CSV file
     * @param maxRows - Maximum rows to parse (default: 1000)
     * @returns Array of row objects
     */
    static parseCSVFile(filePath: string, maxRows?: number): Promise<unknown[]>;
    /**
     * Parse CSV string to array of row objects
     * Exposed for use by tools that need direct CSV parsing
     *
     * @param csvString - CSV data as string
     * @param maxRows - Maximum rows to parse (default: 1000)
     * @returns Array of row objects
     */
    static parseCSVString(csvString: string, maxRows?: number): Promise<unknown[]>;
    /**
     * Format parsed CSV data for LLM consumption
     * Only used for JSON and Markdown formats (raw format handled separately)
     */
    private static formatForLLM;
    /**
     * Format as markdown table
     * Best for small datasets (<100 rows)
     */
    private static toMarkdownTable;
    /**
     * Format sample data according to the specified format
     *
     * @param sampleRows - Array of sample row objects
     * @param format - Output format for sample data
     * @param includeHeaders - Whether to include headers in CSV/markdown formats
     * @returns Formatted sample data as string or array
     */
    private static formatSampleData;
    /**
     * Convert row objects to CSV string format
     *
     * @param rows - Array of row objects
     * @param includeHeaders - Whether to include header row
     * @returns CSV formatted string
     */
    private static toCSVString;
}