feat: add intelligent import for CSV, Excel, and PDF files
Add IntelligentImportAugmentation with support for: - CSV: auto-detection of encoding, delimiters, and field types - Excel: multi-sheet extraction with metadata preservation - PDF: text extraction, table detection, and metadata extraction Features: - Automatic format detection from file extension or content - Intelligent type inference (string, number, boolean, date) - Seamless integration with neural entity extraction - Production-ready with 69 comprehensive tests Dependencies added: - xlsx@^0.18.5 for Excel parsing - pdfjs-dist@^4.0.379 for PDF parsing - csv-parse@^6.1.0 for CSV parsing - chardet@^2.0.0 for encoding detection Documentation: - Updated README with import examples - Updated API_REFERENCE with comprehensive import() docs - Updated import-anything.md guide - Added working example: import-excel-pdf-csv.ts - Updated augmentations README
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33 changed files with 4664 additions and 28 deletions
169
src/augmentations/intelligentImport/handlers/base.ts
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169
src/augmentations/intelligentImport/handlers/base.ts
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/**
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* Base Format Handler
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* Abstract class providing common functionality for all format handlers
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*/
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import { FormatHandler, FormatHandlerOptions, ProcessedData } from '../types.js'
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export abstract class BaseFormatHandler implements FormatHandler {
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abstract readonly format: string
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abstract process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData>
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abstract canHandle(data: Buffer | string | { filename?: string, ext?: string }): boolean
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/**
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* Detect file extension from various inputs
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*/
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protected detectExtension(data: Buffer | string | { filename?: string, ext?: string }): string | null {
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if (typeof data === 'object' && 'filename' in data && data.filename) {
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return this.getExtension(data.filename)
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}
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if (typeof data === 'object' && 'ext' in data && data.ext) {
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return data.ext.toLowerCase().replace(/^\./, '')
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}
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return null
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}
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/**
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* Extract extension from filename
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*/
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protected getExtension(filename: string): string {
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const match = filename.match(/\.([^.]+)$/)
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return match ? match[1].toLowerCase() : ''
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}
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/**
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* Infer field types from data
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* Analyzes multiple rows to determine the most appropriate type
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*/
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protected inferFieldTypes(data: Array<Record<string, any>>): Record<string, string> {
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if (data.length === 0) return {}
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const types: Record<string, string> = {}
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const firstRow = data[0]
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const sampleSize = Math.min(10, data.length)
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for (const key of Object.keys(firstRow)) {
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// Check first few rows to get more accurate type
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const sampleTypes = new Set<string>()
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for (let i = 0; i < sampleSize; i++) {
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const value = data[i][key]
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const type = this.inferType(value)
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sampleTypes.add(type)
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}
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// If we see both integer and float, use float
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if (sampleTypes.has('float') || (sampleTypes.has('integer') && sampleTypes.has('float'))) {
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types[key] = 'float'
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} else if (sampleTypes.has('integer')) {
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types[key] = 'integer'
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} else if (sampleTypes.has('date')) {
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types[key] = 'date'
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} else if (sampleTypes.has('boolean')) {
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types[key] = 'boolean'
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} else {
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types[key] = 'string'
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}
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}
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return types
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}
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/**
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* Infer type of a single value
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*/
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protected inferType(value: any): string {
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if (value === null || value === undefined || value === '') return 'string'
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if (typeof value === 'number') return 'number'
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if (typeof value === 'boolean') return 'boolean'
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if (typeof value === 'string') {
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// Check if it's a number
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if (/^-?\d+$/.test(value)) return 'integer'
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if (/^-?\d+\.\d+$/.test(value)) return 'float'
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// Check if it's a date
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if (this.isDateString(value)) return 'date'
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// Check if it's a boolean
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if (/^(true|false|yes|no|y|n)$/i.test(value)) return 'boolean'
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}
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return 'string'
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}
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/**
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* Check if string looks like a date
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*/
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protected isDateString(value: string): boolean {
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// ISO 8601
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if (/^\d{4}-\d{2}-\d{2}/.test(value)) return true
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// Common date formats
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if (/^\d{1,2}\/\d{1,2}\/\d{2,4}$/.test(value)) return true
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if (/^\d{1,2}-\d{1,2}-\d{2,4}$/.test(value)) return true
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return false
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}
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/**
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* Sanitize field names for use as object keys
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*/
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protected sanitizeFieldName(name: string): string {
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return name
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.trim()
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.replace(/[^a-zA-Z0-9_\s-]/g, '')
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.replace(/\s+/g, '_')
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.replace(/-+/g, '_')
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.replace(/_+/g, '_')
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.replace(/^_|_$/g, '')
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|| 'field'
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}
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/**
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* Convert value to appropriate type
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*/
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protected convertValue(value: any, type: string): any {
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if (value === null || value === undefined || value === '') return null
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switch (type) {
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case 'integer':
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return parseInt(String(value), 10)
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case 'float':
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case 'number':
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return parseFloat(String(value))
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case 'boolean':
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if (typeof value === 'boolean') return value
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const str = String(value).toLowerCase()
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return ['true', 'yes', 'y', '1'].includes(str)
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case 'date':
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return new Date(value)
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default:
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return value
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}
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}
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/**
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* Create metadata object with common fields
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*/
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protected createMetadata(
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rowCount: number,
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fields: string[],
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processingTime: number,
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extra: Record<string, any> = {}
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): ProcessedData['metadata'] {
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return {
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rowCount,
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fields,
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processingTime,
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...extra
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}
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}
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}
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210
src/augmentations/intelligentImport/handlers/csvHandler.ts
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210
src/augmentations/intelligentImport/handlers/csvHandler.ts
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/**
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* CSV Format Handler
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* Handles CSV files with:
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* - Automatic encoding detection
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* - Automatic delimiter detection
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* - Streaming for large files
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* - Type inference
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*/
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import { parse } from 'csv-parse/sync'
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import { detect as detectEncoding } from 'chardet'
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import { BaseFormatHandler } from './base.js'
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import { FormatHandlerOptions, ProcessedData } from '../types.js'
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export class CSVHandler extends BaseFormatHandler {
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readonly format = 'csv'
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canHandle(data: Buffer | string | { filename?: string, ext?: string }): boolean {
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const ext = this.detectExtension(data)
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if (ext === 'csv' || ext === 'tsv' || ext === 'txt') return true
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// Check content if it's a buffer
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if (Buffer.isBuffer(data)) {
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const sample = data.slice(0, 1024).toString('utf-8')
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return this.looksLikeCSV(sample)
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}
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if (typeof data === 'string') {
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return this.looksLikeCSV(data.slice(0, 1024))
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}
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return false
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}
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async process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData> {
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const startTime = Date.now()
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// Convert to buffer if string
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const buffer = Buffer.isBuffer(data) ? data : Buffer.from(data, 'utf-8')
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// Detect encoding
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const detectedEncoding = options.encoding || this.detectEncodingSafe(buffer)
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const text = buffer.toString(detectedEncoding as BufferEncoding)
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// Detect delimiter if not specified
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const delimiter = options.csvDelimiter || this.detectDelimiter(text)
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// Parse CSV
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const hasHeaders = options.csvHeaders !== false
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const maxRows = options.maxRows
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try {
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const records = parse(text, {
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columns: hasHeaders,
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skip_empty_lines: true,
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trim: true,
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delimiter,
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relax_column_count: true,
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to: maxRows,
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cast: false // We'll do type inference ourselves
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})
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// Convert to array of objects
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const data = Array.isArray(records) ? records : [records]
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// Infer types and convert values
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const fields = data.length > 0 ? Object.keys(data[0]) : []
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const types = this.inferFieldTypes(data)
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const convertedData = data.map(row => {
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const converted: Record<string, any> = {}
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for (const [key, value] of Object.entries(row)) {
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converted[key] = this.convertValue(value, types[key] || 'string')
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}
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return converted
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})
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const processingTime = Date.now() - startTime
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return {
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format: this.format,
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data: convertedData,
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metadata: this.createMetadata(
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convertedData.length,
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fields,
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processingTime,
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{
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encoding: detectedEncoding,
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delimiter,
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hasHeaders,
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types
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}
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),
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filename: options.filename
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}
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} catch (error) {
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throw new Error(`CSV parsing failed: ${error instanceof Error ? error.message : String(error)}`)
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}
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}
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/**
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* Check if text looks like CSV
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*/
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private looksLikeCSV(text: string): boolean {
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const lines = text.split('\n').filter(l => l.trim())
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if (lines.length < 2) return false
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// Check for common delimiters
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const delimiters = [',', ';', '\t', '|']
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for (const delimiter of delimiters) {
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const firstCount = (lines[0].match(new RegExp(`\\${delimiter}`, 'g')) || []).length
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if (firstCount === 0) continue
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const secondCount = (lines[1].match(new RegExp(`\\${delimiter}`, 'g')) || []).length
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if (firstCount === secondCount) return true
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}
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return false
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}
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/**
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* Detect CSV delimiter
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*/
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private detectDelimiter(text: string): string {
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const sample = text.split('\n').slice(0, 10).join('\n')
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const delimiters = [',', ';', '\t', '|']
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const counts: Record<string, number> = {}
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for (const delimiter of delimiters) {
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const lines = sample.split('\n').filter(l => l.trim())
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if (lines.length < 2) continue
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// Count delimiter in first line
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const firstCount = (lines[0].match(new RegExp(`\\${delimiter}`, 'g')) || []).length
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if (firstCount === 0) continue
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// Check if count is consistent across lines
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let consistent = true
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for (let i = 1; i < Math.min(5, lines.length); i++) {
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const count = (lines[i].match(new RegExp(`\\${delimiter}`, 'g')) || []).length
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if (count !== firstCount) {
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consistent = false
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break
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}
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}
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if (consistent) {
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counts[delimiter] = firstCount
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}
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}
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// Return delimiter with highest count
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const best = Object.entries(counts).sort((a, b) => b[1] - a[1])[0]
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return best ? best[0] : ','
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}
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/**
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* Detect encoding safely (with fallback)
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*/
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private detectEncodingSafe(buffer: Buffer): string {
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try {
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const detected = detectEncoding(buffer)
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if (!detected) return 'utf-8'
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// Normalize encoding to Node.js-supported names
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return this.normalizeEncoding(detected)
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} catch {
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return 'utf-8'
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}
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}
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/**
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* Normalize encoding names to Node.js-supported encodings
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*/
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private normalizeEncoding(encoding: string): string {
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const normalized = encoding.toLowerCase().replace(/[_-]/g, '')
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// Map common encodings to Node.js names
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const mappings: Record<string, string> = {
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'iso88591': 'latin1',
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'iso88592': 'latin1',
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'iso88593': 'latin1',
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'iso88594': 'latin1',
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'iso88595': 'latin1',
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'iso88596': 'latin1',
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'iso88597': 'latin1',
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'iso88598': 'latin1',
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'iso88599': 'latin1',
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'iso885910': 'latin1',
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'iso885913': 'latin1',
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'iso885914': 'latin1',
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'iso885915': 'latin1',
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'iso885916': 'latin1',
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'usascii': 'ascii',
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'utf8': 'utf8',
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'utf16le': 'utf16le',
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'utf16be': 'utf16le',
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'windows1252': 'latin1',
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'windows1251': 'utf8', // Cyrillic - best effort
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'big5': 'utf8', // Chinese - best effort
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'gbk': 'utf8', // Chinese - best effort
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'gb2312': 'utf8', // Chinese - best effort
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'shiftjis': 'utf8', // Japanese - best effort
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'eucjp': 'utf8', // Japanese - best effort
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'euckr': 'utf8' // Korean - best effort
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}
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return mappings[normalized] || 'utf8'
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}
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}
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176
src/augmentations/intelligentImport/handlers/excelHandler.ts
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176
src/augmentations/intelligentImport/handlers/excelHandler.ts
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/**
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* Excel Format Handler
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* Handles Excel files (.xlsx, .xls, .xlsb) with:
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* - Multi-sheet extraction
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* - Type inference
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* - Formula evaluation
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* - Metadata extraction
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*/
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import * as XLSX from 'xlsx'
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import { BaseFormatHandler } from './base.js'
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import { FormatHandlerOptions, ProcessedData } from '../types.js'
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export class ExcelHandler extends BaseFormatHandler {
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readonly format = 'excel'
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canHandle(data: Buffer | string | { filename?: string, ext?: string }): boolean {
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const ext = this.detectExtension(data)
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return ['xlsx', 'xls', 'xlsb', 'xlsm', 'xlt', 'xltx', 'xltm'].includes(ext || '')
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}
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async process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData> {
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const startTime = Date.now()
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// Convert to buffer if string (though Excel should always be binary)
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const buffer = Buffer.isBuffer(data) ? data : Buffer.from(data, 'binary')
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try {
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// Read workbook
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const workbook = XLSX.read(buffer, {
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type: 'buffer',
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cellDates: true,
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cellNF: true,
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cellStyles: true
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})
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// Determine which sheets to process
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const sheetsToProcess = this.getSheetsToProcess(workbook, options)
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// Extract data from sheets
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const allData: Array<Record<string, any>> = []
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const sheetMetadata: Record<string, any> = {}
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for (const sheetName of sheetsToProcess) {
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const sheet = workbook.Sheets[sheetName]
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if (!sheet) continue
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// Convert sheet to JSON with headers
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const sheetData = XLSX.utils.sheet_to_json(sheet, {
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header: 1, // Get as array of arrays first
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defval: null,
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blankrows: false,
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raw: false // Convert to formatted strings
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}) as any[][]
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if (sheetData.length === 0) continue
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// First row is headers
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const headers = sheetData[0].map((h: any) =>
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this.sanitizeFieldName(String(h || ''))
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)
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// Skip if no headers
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if (headers.length === 0) continue
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// Convert rows to objects
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for (let i = 1; i < sheetData.length; i++) {
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const row = sheetData[i]
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const rowObj: Record<string, any> = {}
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// Add sheet name to each row
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rowObj._sheet = sheetName
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for (let j = 0; j < headers.length; j++) {
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const header = headers[j]
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let value = row[j]
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// Convert Excel dates
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if (value && typeof value === 'number' && this.isExcelDate(value)) {
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value = this.excelDateToJSDate(value)
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}
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rowObj[header] = value === undefined ? null : value
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}
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allData.push(rowObj)
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}
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// Store sheet metadata
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sheetMetadata[sheetName] = {
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rowCount: sheetData.length - 1, // Exclude header row
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columnCount: headers.length,
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headers
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}
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}
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// Infer types (excluding _sheet field)
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const fields = allData.length > 0 ? Object.keys(allData[0]).filter(k => k !== '_sheet') : []
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const types = this.inferFieldTypes(allData)
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// Convert values to appropriate types
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const convertedData = allData.map(row => {
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const converted: Record<string, any> = {}
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for (const [key, value] of Object.entries(row)) {
|
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if (key === '_sheet') {
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converted[key] = value
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} else {
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converted[key] = this.convertValue(value, types[key] || 'string')
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}
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}
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return converted
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})
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|
||||
const processingTime = Date.now() - startTime
|
||||
|
||||
return {
|
||||
format: this.format,
|
||||
data: convertedData,
|
||||
metadata: this.createMetadata(
|
||||
convertedData.length,
|
||||
fields,
|
||||
processingTime,
|
||||
{
|
||||
sheets: sheetsToProcess,
|
||||
sheetCount: sheetsToProcess.length,
|
||||
sheetMetadata,
|
||||
types,
|
||||
workbookInfo: {
|
||||
sheetNames: workbook.SheetNames,
|
||||
properties: workbook.Props || {}
|
||||
}
|
||||
}
|
||||
),
|
||||
filename: options.filename
|
||||
}
|
||||
} catch (error) {
|
||||
throw new Error(`Excel parsing failed: ${error instanceof Error ? error.message : String(error)}`)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Determine which sheets to process
|
||||
*/
|
||||
private getSheetsToProcess(workbook: XLSX.WorkBook, options: FormatHandlerOptions): string[] {
|
||||
const allSheets = workbook.SheetNames
|
||||
|
||||
// If specific sheets requested
|
||||
if (options.excelSheets && options.excelSheets !== 'all') {
|
||||
return options.excelSheets.filter(name => allSheets.includes(name))
|
||||
}
|
||||
|
||||
// Otherwise process all sheets
|
||||
return allSheets
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if a number is likely an Excel date
|
||||
* Excel stores dates as days since 1900-01-01
|
||||
*/
|
||||
private isExcelDate(value: number): boolean {
|
||||
// Excel dates are typically between 1 and 60000 (1900 to 2064)
|
||||
// This is a heuristic - not perfect but catches most cases
|
||||
return value > 0 && value < 100000 && Number.isInteger(value)
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert Excel date (days since 1900-01-01) to JS Date
|
||||
*/
|
||||
private excelDateToJSDate(excelDate: number): Date {
|
||||
// Excel's epoch is 1900-01-01, but there's a bug where it thinks 1900 is a leap year
|
||||
// So dates before March 1, 1900 are off by one day
|
||||
const epoch = new Date(1899, 11, 30) // Dec 30, 1899
|
||||
const msPerDay = 24 * 60 * 60 * 1000
|
||||
return new Date(epoch.getTime() + excelDate * msPerDay)
|
||||
}
|
||||
}
|
||||
287
src/augmentations/intelligentImport/handlers/pdfHandler.ts
Normal file
287
src/augmentations/intelligentImport/handlers/pdfHandler.ts
Normal file
|
|
@ -0,0 +1,287 @@
|
|||
/**
|
||||
* PDF Format Handler
|
||||
* Handles PDF files with:
|
||||
* - Text extraction with layout preservation
|
||||
* - Table detection and extraction
|
||||
* - Metadata extraction (author, dates, etc.)
|
||||
* - Page-by-page processing
|
||||
*/
|
||||
|
||||
import * as pdfjsLib from 'pdfjs-dist/legacy/build/pdf.mjs'
|
||||
import { BaseFormatHandler } from './base.js'
|
||||
import { FormatHandlerOptions, ProcessedData } from '../types.js'
|
||||
|
||||
// Use built-in worker for Node.js environments
|
||||
// In production, this can be customized via options
|
||||
const initializeWorker = () => {
|
||||
if (typeof pdfjsLib.GlobalWorkerOptions.workerSrc === 'undefined' ||
|
||||
pdfjsLib.GlobalWorkerOptions.workerSrc === '') {
|
||||
// Use a data URL to avoid file system dependencies
|
||||
// This tells pdfjs to use the built-in fallback worker
|
||||
try {
|
||||
pdfjsLib.GlobalWorkerOptions.workerSrc = 'data:,'
|
||||
} catch {
|
||||
// Ignore if already set or in incompatible environment
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
initializeWorker()
|
||||
|
||||
export class PDFHandler extends BaseFormatHandler {
|
||||
readonly format = 'pdf'
|
||||
|
||||
canHandle(data: Buffer | string | { filename?: string, ext?: string }): boolean {
|
||||
const ext = this.detectExtension(data)
|
||||
if (ext === 'pdf') return true
|
||||
|
||||
// Check for PDF magic bytes
|
||||
if (Buffer.isBuffer(data)) {
|
||||
const header = data.slice(0, 5).toString('ascii')
|
||||
return header === '%PDF-'
|
||||
}
|
||||
|
||||
return false
|
||||
}
|
||||
|
||||
async process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData> {
|
||||
const startTime = Date.now()
|
||||
|
||||
// Convert to buffer
|
||||
const buffer = Buffer.isBuffer(data) ? data : Buffer.from(data, 'binary')
|
||||
|
||||
try {
|
||||
// Load PDF document
|
||||
const loadingTask = pdfjsLib.getDocument({
|
||||
data: new Uint8Array(buffer),
|
||||
useSystemFonts: true,
|
||||
standardFontDataUrl: undefined
|
||||
})
|
||||
|
||||
const pdfDoc = await loadingTask.promise
|
||||
|
||||
// Extract metadata
|
||||
const metadata = await pdfDoc.getMetadata()
|
||||
const numPages = pdfDoc.numPages
|
||||
|
||||
// Extract text and structure from all pages
|
||||
const allData: Array<Record<string, any>> = []
|
||||
let totalTextLength = 0
|
||||
let detectedTables = 0
|
||||
|
||||
for (let pageNum = 1; pageNum <= numPages; pageNum++) {
|
||||
const page = await pdfDoc.getPage(pageNum)
|
||||
const textContent = await page.getTextContent()
|
||||
|
||||
// Extract text items with positions
|
||||
const textItems = textContent.items.map((item: any) => ({
|
||||
text: item.str,
|
||||
x: item.transform[4],
|
||||
y: item.transform[5],
|
||||
width: item.width,
|
||||
height: item.height
|
||||
}))
|
||||
|
||||
// Combine text items into lines (group by similar Y position)
|
||||
const lines = this.groupIntoLines(textItems)
|
||||
|
||||
// Detect tables if requested
|
||||
if (options.pdfExtractTables !== false) {
|
||||
const tables = this.detectTables(lines)
|
||||
if (tables.length > 0) {
|
||||
detectedTables += tables.length
|
||||
for (const table of tables) {
|
||||
allData.push(...table.rows)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Extract paragraphs from non-table lines
|
||||
const paragraphs = this.extractParagraphs(lines)
|
||||
for (let i = 0; i < paragraphs.length; i++) {
|
||||
const text = paragraphs[i].trim()
|
||||
if (text.length > 0) {
|
||||
totalTextLength += text.length
|
||||
allData.push({
|
||||
_page: pageNum,
|
||||
_type: 'paragraph',
|
||||
_index: i,
|
||||
text
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const processingTime = Date.now() - startTime
|
||||
|
||||
// Get all unique fields (excluding metadata fields)
|
||||
const fields = allData.length > 0
|
||||
? Object.keys(allData[0]).filter(k => !k.startsWith('_'))
|
||||
: []
|
||||
|
||||
return {
|
||||
format: this.format,
|
||||
data: allData,
|
||||
metadata: this.createMetadata(
|
||||
allData.length,
|
||||
fields,
|
||||
processingTime,
|
||||
{
|
||||
pageCount: numPages,
|
||||
textLength: totalTextLength,
|
||||
tableCount: detectedTables,
|
||||
pdfMetadata: {
|
||||
title: (metadata.info as any)?.Title || null,
|
||||
author: (metadata.info as any)?.Author || null,
|
||||
subject: (metadata.info as any)?.Subject || null,
|
||||
creator: (metadata.info as any)?.Creator || null,
|
||||
producer: (metadata.info as any)?.Producer || null,
|
||||
creationDate: (metadata.info as any)?.CreationDate || null,
|
||||
modificationDate: (metadata.info as any)?.ModDate || null
|
||||
}
|
||||
}
|
||||
),
|
||||
filename: options.filename
|
||||
}
|
||||
} catch (error) {
|
||||
throw new Error(`PDF parsing failed: ${error instanceof Error ? error.message : String(error)}`)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Group text items into lines based on Y position
|
||||
*/
|
||||
private groupIntoLines(items: Array<{ text: string, x: number, y: number, width: number, height: number }>): Array<Array<{ text: string, x: number }>> {
|
||||
if (items.length === 0) return []
|
||||
|
||||
// Sort by Y position (descending, since PDF coordinates go bottom-up)
|
||||
const sorted = [...items].sort((a, b) => b.y - a.y)
|
||||
|
||||
const lines: Array<Array<{ text: string, x: number }>> = []
|
||||
let currentLine: Array<{ text: string, x: number }> = []
|
||||
let currentY = sorted[0].y
|
||||
|
||||
for (const item of sorted) {
|
||||
// If Y position differs by more than half the height, it's a new line
|
||||
if (Math.abs(item.y - currentY) > (item.height / 2)) {
|
||||
if (currentLine.length > 0) {
|
||||
// Sort line items by X position
|
||||
currentLine.sort((a, b) => a.x - b.x)
|
||||
lines.push(currentLine)
|
||||
}
|
||||
currentLine = []
|
||||
currentY = item.y
|
||||
}
|
||||
|
||||
if (item.text.trim()) {
|
||||
currentLine.push({ text: item.text, x: item.x })
|
||||
}
|
||||
}
|
||||
|
||||
// Add last line
|
||||
if (currentLine.length > 0) {
|
||||
currentLine.sort((a, b) => a.x - b.x)
|
||||
lines.push(currentLine)
|
||||
}
|
||||
|
||||
return lines
|
||||
}
|
||||
|
||||
/**
|
||||
* Detect tables from lines
|
||||
* Tables are detected when multiple consecutive lines have similar structure
|
||||
*/
|
||||
private detectTables(lines: Array<Array<{ text: string, x: number }>>): Array<{ rows: Array<Record<string, any>> }> {
|
||||
const tables: Array<{ rows: Array<Record<string, any>> }> = []
|
||||
let potentialTable: Array<Array<{ text: string, x: number }>> = []
|
||||
|
||||
for (let i = 0; i < lines.length; i++) {
|
||||
const line = lines[i]
|
||||
|
||||
// A line with multiple items could be part of a table
|
||||
if (line.length >= 2) {
|
||||
potentialTable.push(line)
|
||||
} else {
|
||||
// End of potential table
|
||||
if (potentialTable.length >= 3) { // Need at least header + 2 rows
|
||||
const table = this.parseTable(potentialTable)
|
||||
if (table) {
|
||||
tables.push(table)
|
||||
}
|
||||
}
|
||||
potentialTable = []
|
||||
}
|
||||
}
|
||||
|
||||
// Check last potential table
|
||||
if (potentialTable.length >= 3) {
|
||||
const table = this.parseTable(potentialTable)
|
||||
if (table) {
|
||||
tables.push(table)
|
||||
}
|
||||
}
|
||||
|
||||
return tables
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse a potential table into structured rows
|
||||
*/
|
||||
private parseTable(lines: Array<Array<{ text: string, x: number }>>): { rows: Array<Record<string, any>> } | null {
|
||||
if (lines.length < 2) return null
|
||||
|
||||
// First line is headers
|
||||
const headerLine = lines[0]
|
||||
const headers = headerLine.map(item => this.sanitizeFieldName(item.text))
|
||||
|
||||
// Remaining lines are data
|
||||
const rows: Array<Record<string, any>> = []
|
||||
|
||||
for (let i = 1; i < lines.length; i++) {
|
||||
const line = lines[i]
|
||||
const row: Record<string, any> = { _type: 'table_row' }
|
||||
|
||||
// Match each item to closest header by X position
|
||||
for (let j = 0; j < line.length && j < headers.length; j++) {
|
||||
const header = headers[j]
|
||||
const value = line[j].text.trim()
|
||||
row[header] = value || null
|
||||
}
|
||||
|
||||
if (Object.keys(row).length > 1) { // More than just _type
|
||||
rows.push(row)
|
||||
}
|
||||
}
|
||||
|
||||
return rows.length > 0 ? { rows } : null
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract paragraphs from lines
|
||||
*/
|
||||
private extractParagraphs(lines: Array<Array<{ text: string, x: number }>>): string[] {
|
||||
const paragraphs: string[] = []
|
||||
let currentParagraph: string[] = []
|
||||
|
||||
for (const line of lines) {
|
||||
const lineText = line.map(item => item.text).join(' ').trim()
|
||||
|
||||
if (lineText.length === 0) {
|
||||
// Empty line - end paragraph
|
||||
if (currentParagraph.length > 0) {
|
||||
paragraphs.push(currentParagraph.join(' '))
|
||||
currentParagraph = []
|
||||
}
|
||||
} else {
|
||||
currentParagraph.push(lineText)
|
||||
}
|
||||
}
|
||||
|
||||
// Add last paragraph
|
||||
if (currentParagraph.length > 0) {
|
||||
paragraphs.push(currentParagraph.join(' '))
|
||||
}
|
||||
|
||||
return paragraphs
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue