2017-03-20 09:02:25 +00:00
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## Parsing Options
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The exported `read` and `readFile` functions accept an options argument:
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| Option Name | Default | Description |
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| :---------- | ------: | :--------------------------------------------------- |
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| type | | Input data encoding (see Input Type below) |
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| raw | | If true, plaintext parsing will not parse values ** |
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2017-03-25 01:36:40 +00:00
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| cellFormula | true | Save formulae to the .f field |
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2017-04-21 22:02:02 +00:00
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| cellHTML | true | Parse rich text and save HTML to the `.h` field |
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| cellNF | false | Save number format string to the `.z` field |
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| cellStyles | false | Save style/theme info to the `.s` field |
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| cellText | true | Generated formatted text to the `.w` field |
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2017-03-22 07:50:11 +00:00
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| cellDates | false | Store dates as type `d` (default is `n`) |
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2017-04-30 16:27:03 +00:00
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| dateNF | | If specified, use the string for date code 14 ** |
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| sheetStubs | false | Create cell objects of type `z` for stub cells |
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| sheetRows | 0 | If >0, read the first `sheetRows` rows ** |
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| bookDeps | false | If true, parse calculation chains |
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| bookFiles | false | If true, add raw files to book object ** |
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| bookProps | false | If true, only parse enough to get book metadata ** |
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| bookSheets | false | If true, only parse enough to get the sheet names |
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| bookVBA | false | If true, expose vbaProject.bin to `vbaraw` field ** |
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| password | "" | If defined and file is encrypted, use password ** |
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| WTF | false | If true, throw errors on unexpected file features ** |
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- Even if `cellNF` is false, formatted text will be generated and saved to `.w`
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- In some cases, sheets may be parsed even if `bookSheets` is false.
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- Excel aggressively tries to interpret values from CSV and other plaintext.
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This leads to surprising behavior! The `raw` option suppresses value parsing.
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- `bookSheets` and `bookProps` combine to give both sets of information
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- `Deps` will be an empty object if `bookDeps` is falsy
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- `bookFiles` behavior depends on file type:
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* `keys` array (paths in the ZIP) for ZIP-based formats
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* `files` hash (mapping paths to objects representing the files) for ZIP
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* `cfb` object for formats using CFB containers
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- `sheetRows-1` rows will be generated when looking at the JSON object output
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(since the header row is counted as a row when parsing the data)
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- `bookVBA` merely exposes the raw vba object. It does not parse the data.
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- Currently only XOR encryption is supported. Unsupported error will be thrown
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for files employing other encryption methods.
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- WTF is mainly for development. By default, the parser will suppress read
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errors on single worksheets, allowing you to read from the worksheets that do
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parse properly. Setting `WTF:1` forces those errors to be thrown.
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### Input Type
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Strings can be interpreted in multiple ways. The `type` parameter for `read`
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tells the library how to parse the data argument:
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| `type` | expected input |
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|------------|-----------------------------------------------------------------|
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| `"base64"` | string: base64 encoding of the file |
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| `"binary"` | string: binary string (`n`-th byte is `data.charCodeAt(n)`) |
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| `"buffer"` | nodejs Buffer |
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| `"array"` | array: array of 8-bit unsigned int (`n`-th byte is `data[n]`) |
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| `"file"` | string: filename that will be read and processed (nodejs only) |
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### Guessing File Type
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2017-04-30 20:37:53 +00:00
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<details>
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<summary><b>Implementation Details</b> (click to show)</summary>
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2017-03-20 09:02:25 +00:00
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Excel and other spreadsheet tools read the first few bytes and apply other
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heuristics to determine a file type. This enables file type punning: renaming
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files with the `.xls` extension will tell your computer to use Excel to open the
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file but Excel will know how to handle it. This library applies similar logic:
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| Byte 0 | Raw File Type | Spreadsheet Types |
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|:-------|:--------------|:----------------------------------------------------|
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| `0xD0` | CFB Container | BIFF 5/8 or password-protected XLSX/XLSB or WQ3/QPW |
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| `0x09` | BIFF Stream | BIFF 2/3/4/5 |
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| `0x3C` | XML/HTML | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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| `0x50` | ZIP Archive | XLSB or XLSX/M or ODS or UOS2 or plaintext |
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| `0x49` | Plain Text | SYLK or plaintext |
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| `0x54` | Plain Text | DIF or plaintext |
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| `0xEF` | UTF8 Encoded | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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| `0xFF` | UTF16 Encoded | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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| `0x00` | Record Stream | Lotus WK\* or Quattro Pro or plaintext |
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| `0x0A` | Plaintext | RTF or plaintext |
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| `0x0A` | Plaintext | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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| `0x0D` | Plaintext | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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| `0x20` | Plaintext | SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext |
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2017-03-28 04:41:01 +00:00
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DBF files are detected based on the first byte as well as the third and fourth
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bytes (corresponding to month and day of the file date)
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2017-03-20 09:02:25 +00:00
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2017-04-03 00:16:03 +00:00
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Plaintext format guessing follows the priority order:
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| Format | Test |
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|:-------|:--------------------------------------------------------------------|
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| XML | `<?xml` appears in the first 1024 characters |
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| HTML | starts with `<` and HTML tags appear in the first 1024 characters * |
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| XML | starts with `<` |
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| RTF | starts with `{\rt` |
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| DSV | starts with `/sep=.$/`, separator is the specified character |
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| TSV | one of the first 1024 characters is a tab char `"\t"` |
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| CSV | one of the first 1024 characters is a comma char `","` |
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2017-04-03 00:16:03 +00:00
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| PRN | (default) |
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2017-07-26 08:35:28 +00:00
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- HTML tags include: `html`, `table`, `head`, `meta`, `script`, `style`, `div`
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2017-04-30 20:37:53 +00:00
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</details>
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2017-04-03 00:16:03 +00:00
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2017-05-16 17:45:35 +00:00
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<details>
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<summary><b>Why are random text files valid?</b> (click to show)</summary>
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Excel is extremely aggressive in reading files. Adding an XLS extension to any
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display text file (where the only characters are ANSI display chars) tricks
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Excel into thinking that the file is potentially a CSV or TSV file, even if it
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is only one column! This library attempts to replicate that behavior.
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The best approach is to validate the desired worksheet and ensure it has the
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expected number of rows or columns. Extracting the range is extremely simple:
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```js
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var range = XLSX.utils.decode_range(worksheet['!ref']);
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var ncols = range.e.c - range.r.c + 1, nrows = range.e.r - range.s.r + 1;
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```
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</details>
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