sheetjs_sheetjs/docbits/80_parseopts.md
2017-06-08 02:19:11 -04:00

6.1 KiB

Parsing Options

The exported read and readFile functions accept an options argument:

Option Name Default Description
type Input data encoding (see Input Type below)
cellFormula true Save formulae to the .f field
cellHTML true Parse rich text and save HTML to the .h field
cellNF false Save number format string to the .z field
cellStyles false Save style/theme info to the .s field
cellText true Generated formatted text to the .w field
cellDates false Store dates as type d (default is n)
dateNF If specified, use the string for date code 14 **
sheetStubs false Create cell objects of type z for stub cells
sheetRows 0 If >0, read the first sheetRows rows **
bookDeps false If true, parse calculation chains
bookFiles false If true, add raw files to book object **
bookProps false If true, only parse enough to get book metadata **
bookSheets false If true, only parse enough to get the sheet names
bookVBA false If true, expose vbaProject.bin to vbaraw field **
password "" If defined and file is encrypted, use password **
WTF false If true, throw errors on unexpected file features **
  • Even if cellNF is false, formatted text will be generated and saved to .w
  • In some cases, sheets may be parsed even if bookSheets is false.
  • bookSheets and bookProps combine to give both sets of information
  • Deps will be an empty object if bookDeps is falsy
  • bookFiles behavior depends on file type:
    • keys array (paths in the ZIP) for ZIP-based formats
    • files hash (mapping paths to objects representing the files) for ZIP
    • cfb object for formats using CFB containers
  • sheetRows-1 rows will be generated when looking at the JSON object output (since the header row is counted as a row when parsing the data)
  • bookVBA merely exposes the raw vba object. It does not parse the data.
  • Currently only XOR encryption is supported. Unsupported error will be thrown for files employing other encryption methods.
  • WTF is mainly for development. By default, the parser will suppress read errors on single worksheets, allowing you to read from the worksheets that do parse properly. Setting WTF:1 forces those errors to be thrown.

The defaults are enumerated in bits/84_defaults.js

Input Type

Strings can be interpreted in multiple ways. The type parameter for read tells the library how to parse the data argument:

type expected input
"base64" string: base64 encoding of the file
"binary" string: binary string (n-th byte is data.charCodeAt(n))
"buffer" nodejs Buffer
"array" array: array of 8-bit unsigned int (n-th byte is data[n])
"file" string: filename that will be read and processed (nodejs only)

Guessing File Type

Implementation Details (click to show)

Excel and other spreadsheet tools read the first few bytes and apply other heuristics to determine a file type. This enables file type punning: renaming files with the .xls extension will tell your computer to use Excel to open the file but Excel will know how to handle it. This library applies similar logic:

Byte 0 Raw File Type Spreadsheet Types
0xD0 CFB Container BIFF 5/8 or password-protected XLSX/XLSB or WQ3/QPW
0x09 BIFF Stream BIFF 2/3/4/5
0x3C XML/HTML SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext
0x50 ZIP Archive XLSB or XLSX/M or ODS or UOS2 or plaintext
0x49 Plain Text SYLK or plaintext
0x54 Plain Text DIF or plaintext
0xFE UTF16 Encoded SpreadsheetML or Flat ODS or UOS1 or plaintext
0x00 Record Stream Lotus WK* or Quattro Pro or plaintext

DBF files are detected based on the first byte as well as the third and fourth bytes (corresponding to month and day of the file date)

Plaintext format guessing follows the priority order:

Format Test
HTML starts with <html
XML starts with <
DSV starts with /sep=.$/, separator is the specified character
TSV one of the first 1024 characters is a tab char "\t"
CSV one of the first 1024 characters is a comma char ","
PRN (default)
Why are random text files valid? (click to show)

Excel is extremely aggressive in reading files. Adding an XLS extension to any display text file (where the only characters are ANSI display chars) tricks Excel into thinking that the file is potentially a CSV or TSV file, even if it is only one column! This library attempts to replicate that behavior.

The best approach is to validate the desired worksheet and ensure it has the expected number of rows or columns. Extracting the range is extremely simple:

var range = XLSX.utils.decode_range(worksheet['!ref']);
var ncols = range.e.c - range.r.c + 1, nrows = range.e.r - range.s.r + 1;