xlsx-to-json-img/dist/index.cjs.map

Convert Excel (.xlsx) to JSON with embedded images as Base64. Supports custom column mapping.

{"version":3,"file":"index.cjs","sources":["../src/index.js"],"sourcesContent":["/**\r\n * excel-to-json-with-images\r\n * Convert Excel (.xlsx) to JSON with embedded images as Base64.\r\n * Supports custom column mapping and header row index.\r\n */\r\n\r\n// ✅ 修复：使用命名导入，不再使用 default import\r\nimport { read, utils } from 'xlsx';\r\nimport JSZip from 'jszip';\r\nimport { DOMParser } from 'xmldom';\r\n\r\n/**\r\n * Helper: Convert input to ArrayBuffer\r\n * @param {Blob|Buffer|ArrayBuffer|Array} input - File input\r\n * @returns {Promise<ArrayBuffer>} ArrayBuffer\r\n */\r\nfunction toArrayBuffer(input) {\r\n  if (typeof Blob !== 'undefined' && input instanceof Blob) {\r\n    return input.arrayBuffer();\r\n  } else if (input instanceof Buffer) {\r\n    return Promise.resolve(input.buffer.slice(input.byteOffset, input.byteOffset + input.byteLength));\r\n  } else if (input instanceof ArrayBuffer) {\r\n    return Promise.resolve(input);\r\n  } else if (Array.isArray(input)) {\r\n    return Promise.resolve(new Uint8Array(input).buffer);\r\n  } else {\r\n    return Promise.reject(new Error('Unsupported file type. Expected Blob, Buffer, or ArrayBuffer.'));\r\n  }\r\n}\r\n\r\n/**\r\n * Main function: Convert Excel file to JSON with images\r\n * @param {File|Blob|Buffer|ArrayBuffer} file - Excel file\r\n * @param {Object} options - Column mapping config\r\n * @returns {Promise<Object>} Result with sheets, images, metadata\r\n */\r\nexport async function excelToJsonWithImages(file, options) {\r\n  let arrayBuffer;\r\n  try {\r\n    arrayBuffer = await toArrayBuffer(file);\r\n  } catch (err) {\r\n    throw new Error(`File conversion failed: ${err.message}`);\r\n  }\r\n\r\n  const workbook = read(arrayBuffer, { type: 'array', cellFormula: true });\r\n  const sheetNames = workbook.SheetNames;\r\n  const result = {\r\n    sheets: {},\r\n    images: [],\r\n    metadata: {\r\n      sheetCount: sheetNames.length,\r\n      imageCount: 0,\r\n      fileName: '',\r\n      fileSize: 0,\r\n      fileLastModified: ''\r\n    }\r\n  };\r\n\r\n  // Extract images via JSZip\r\n  const zip = await JSZip.loadAsync(arrayBuffer);\r\n  const sheetInfo = await getSheetList(zip.files);\r\n  const imageList = await analysisImageList(zip.files,sheetInfo);\r\n  const images = await analysisImageLocation(zip.files, imageList,sheetInfo);\r\n  result.images = images;\r\n  result.metadata.imageCount = images.length;\r\n  result.metadata.fileName = file.name;\r\n  result.metadata.fileSize = file.size;\r\n  result.metadata.fileLastModified = file.lastModified;\r\n\r\n  for (const sheetName of sheetNames) {\r\n    const worksheet = workbook.Sheets[sheetName];\r\n    if (!worksheet) continue;\r\n\r\n    const range = utils.decode_range(worksheet['!ref']);\r\n    const data = [];\r\n\r\n    const sheetConfig = options?.[sheetName];\r\n    const columns = sheetConfig?.columns || [];\r\n    const headerRowIndex = (sheetConfig?.headerIndex || 0);\r\n    const startRow = range.s.r + headerRowIndex;\r\n\r\n    // Read headers\r\n    const headers = [];\r\n    for (let C = range.s.c; C <= range.e.c; C++) {\r\n      const cell = worksheet[utils.encode_cell({ r: startRow, c: C })];\r\n      headers[C] = cell ? cell.v : `Column_${C}`;\r\n    }\r\n\r\n    // Map field names based on config\r\n    const fieldMap = {};\r\n    if (sheetConfig?.columns) {\r\n      headers.forEach((header, index) => {\r\n        const col = sheetConfig.columns.find(c => c.name === header);\r\n        if (col) fieldMap[index] = col.field;\r\n      });\r\n    }\r\n\r\n    // Read data rows\r\n    for (let R = startRow + 1; R <= range.e.r; R++) {\r\n      const row = {};\r\n      let hasData = false;\r\n\r\n      for (let C = range.s.c; C <= range.e.c; C++) {\r\n        const cell = worksheet[utils.encode_cell({ r: R, c: C })];\r\n        let value = null;\r\n\r\n        if (cell) {\r\n          // Check if cell contains image formula\r\n          if (cell.h && cell.h.includes('DISPIMG')) {\r\n            const imgCell = images.find(img => cell.h.includes(img.imgId));\r\n            value = imgCell ? imgCell.path : null;\r\n          } else {\r\n            value = cell.v;\r\n          }\r\n          hasData = true;\r\n        }  else {\r\n          const column = columns[C];\r\n          if (column && column.isImage) {\r\n            const imgCell = images.find(img => column.sheetName === img.name && img.isFloat && img.col === C);\r\n            value = imgCell ? imgCell.path : null;\r\n            hasData = true;\r\n          }\r\n        }\r\n\r\n        const fieldName = fieldMap[C];\r\n        if (fieldName) {\r\n          if (row[fieldName] !== undefined) {\r\n            if (!Array.isArray(row[fieldName])) {\r\n              row[fieldName] = [row[fieldName]];\r\n            }\r\n            row[fieldName].push(value);\r\n          } else {\r\n            row[fieldName] = value;\r\n          }\r\n        }\r\n      }\r\n\r\n      if (hasData) data.push(row);\r\n    }\r\n\r\n    result.sheets[sheetName] = data;\r\n  }\r\n\r\n  return result;\r\n}\r\n\r\n\r\nconst getSheetList = async (files) => {\r\n  const sheetList = [];\r\n  const drawingsRels = [];\r\n  const drawingsXml = [];\r\n  const path = 'xl/workbook.xml';\r\n  const relFile = files[path];\r\n  if (relFile)\r\n  {\r\n    const content = await relFile.async('string');\r\n    const parser = new DOMParser();\r\n    const doc = parser.parseFromString(content, 'text/xml');\r\n    const sheets = doc.getElementsByTagName('sheet');\r\n    for (let i = 0; i < sheets.length; i++)\r\n    {\r\n      const r = sheets[i];\r\n      const name = r.getAttribute('name');\r\n      const sheetId = r.getAttribute('sheetId');\r\n      const sheet = {\r\n        name,\r\n        sheetId\r\n      };\r\n      sheetList.push(sheet);\r\n      const rels = {\r\n        path: `xl/drawings/_rels/drawing${sheetId}.xml.rels`,\r\n        sheetName:  name,\r\n        sheetId: sheetId,\r\n        isFloat: true\r\n      };\r\n      drawingsRels.push(rels);\r\n      const xml = {\r\n        path: `xl/drawings/drawing${sheetId}.xml`,\r\n        isFloat: true,\r\n        sheetName:  name,\r\n        sheetId: sheetId,\r\n      };\r\n      drawingsXml.push(xml);\r\n    }\r\n  }\r\n  return {\r\n    sheetList,\r\n    drawingsRels,\r\n    drawingsXml\r\n  };\r\n};\r\n/**\r\n * Analyze image list from .rels files\r\n * @param {Object} files - JSZip files object\r\n * @param {Object} sheetInfo\r\n * @returns {Promise<Array>} List of images with base64 path\r\n */\r\nasync function analysisImageList(files,sheetInfo) {\r\n  const relPaths = [\r\n    { path: 'xl/_rels/cellimages.xml.rels', isFloat: false },\r\n    ...sheetInfo.drawingsRels,\r\n  ];\r\n  const promises = [];\r\n\r\n  for (const key of relPaths) {\r\n    const { path, isFloat, sheetName= '', sheetId=''  } = key;\r\n    const relFile = files[path];\r\n    if (!relFile) continue;\r\n\r\n    const content = await relFile.async('string');\r\n    const doc = new DOMParser().parseFromString(content, 'text/xml');\r\n    const relationships = doc.getElementsByTagName('Relationship');\r\n\r\n    for (let i = 0; i < relationships.length; i++) {\r\n      const r = relationships[i];\r\n      const id = r.getAttribute('Id');\r\n      const target = r.getAttribute('Target');\r\n      const fullPath = isFloat ? target.replace('../', 'xl/') : `xl/${target}`;\r\n      const imgFile = files[fullPath];\r\n      if (!imgFile) continue;\r\n\r\n      promises.push(\r\n        imgFile.async('base64').then(base64 => {\r\n          const ext = fullPath.toLowerCase().split('.').pop();\r\n          const mimeMap = { jpg: 'jpeg', jpeg: 'jpeg', png: 'png', gif: 'gif', bmp: 'bmp' };\r\n          const mimeType = `image/${mimeMap[ext] || 'png'}`;\r\n          return { id, path: `data:image/${mimeType};base64,${base64}`, isFloat, sheetName, sheetId };\r\n        })\r\n      );\r\n    }\r\n  }\r\n\r\n  return (await Promise.all(promises)).filter(Boolean);\r\n}\r\n\r\n/**\r\n * Analyze image location (cell or floating)\r\n * @param {Object} files - JSZip files object\r\n * @param {Array} imageList - List of extracted images\r\n * @param {Object} sheetInfo\r\n * @returns {Promise<Array>} List of images with position info\r\n */\r\nasync function analysisImageLocation(files, imageList,sheetInfo) {\r\n  const drawingPaths = [\r\n    { path: 'xl/cellimages.xml', isFloat: false },\r\n    ...sheetInfo.drawingsXml\r\n  ];\r\n  const result = [];\r\n\r\n  for (const key of drawingPaths) {\r\n    const { path, isFloat, sheetName= '', sheetId=''  } = key\r\n    const file = files[path];\r\n    if (!file || imageList.length === 0) continue;\r\n\r\n    const content = await file.async('string');\r\n    const doc = new DOMParser().parseFromString(content, 'text/xml');\r\n    const blips = doc.getElementsByTagName('a:blip');\r\n    const cNvPrs = doc.getElementsByTagName('xdr:cNvPr');\r\n    const cols = doc.getElementsByTagName('xdr:col');\r\n    const rows = doc.getElementsByTagName('xdr:row');\r\n\r\n    for (let i = 0; i < blips.length; i++) {\r\n      const embedId = blips[i].getAttribute('r:embed');  let imgObj;\r\n      if(!isFloat){\r\n        imgObj = imageList.find(img => img.id === embedId && !img.isFloat)\r\n      } else {\r\n        imgObj = imageList.find(img => img.id === embedId && img.isFloat && img.sheetId === sheetId)\r\n      }\r\n      if (!imgObj) continue;\r\n\r\n      const name = cNvPrs[i]?.getAttribute('name') || '';\r\n      const descr = cNvPrs[i]?.getAttribute('descr') || '';\r\n      const formX = parseInt(cols[i * 2]?.textContent || 0);\r\n      const formY = parseInt(rows[i * 2]?.textContent || 0) + 1;\r\n\r\n      result.push({\r\n        form: isFloat ? 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