2023-10-23 01:20:18 +00:00
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---
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title: Sheets in PST Mailboxes
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sidebar_label: PST Mailboxes
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pagination_prev: demos/net/server/index
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pagination_next: demos/net/headless
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---
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import current from '/version.js';
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import CodeBlock from '@theme/CodeBlock';
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<head>
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<script src="/pst/pstextractor.js"></script>
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</head>
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PST (Personal Storage Table) is a common file format for storing messages.
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Electronic discovery commonly involves extracting data from attached
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spreadsheets in e-mail messages stored in PST archives.
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`pst-extractor`[^1] is a NodeJS module designed for extracting objects from PST
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files. It has been used to extract spreadsheets from the Enron Corpus[^2] and
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other large mailboxes.
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[SheetJS](https://sheetjs.com) is a JavaScript library for reading and writing
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data from spreadsheets.
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This demo uses `pst-extractor` and SheetJS to read spreadsheets. We'll explore
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how to load SheetJS in a NodeJS script or website, extract spreadsheets files,
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and generate HTML and CSV views of the underlying data.
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The ["Live Demo"](#live-demo) reads PST files. Individual spreadsheets within
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the file can be downloaded or previewed in the browser.
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2024-03-12 06:47:52 +00:00
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:::note Tested Deployments
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2023-10-23 01:20:18 +00:00
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2024-03-12 06:47:52 +00:00
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This demo was last tested on 2024 March 11 against `pst-extractor` 1.9.0
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2023-10-23 01:20:18 +00:00
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:::
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## Overview
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The [SheetJS NodeJS module](/docs/getting-started/installation/nodejs) can be
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imported from scripts that use `pst-extractor`.
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### Parsing PST Files
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The `pst-extractor` module exposes a `PSTFile` class. The constructor requires a
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proper NodeJS buffer.
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The following snippet reads and parses `enron.pst` from the local filesystem.
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`fs.readFileSync`[^3] accepts a filename and returns a Buffer:
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```js
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const fs = require("fs"), PSTExtractor = require("pst-extractor");
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const file = fs.readFileSync("enron.pst");
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const pst = new (PSTExtractor.PSTFile)(file);
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```
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### Walking the Tree
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`pst-extractor` presents a tree-like structure to inspect the contents of the
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PST file. It is recommended to use recursive functions to walk the tree.
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The following tree walker will collect all XLSX and XLS attachments:
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```js
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/* walk the PST file and add all attachments to the specified array */
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function walk(f,arr) {
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if(f.hasSubfolders) for(let sf of f.getSubFolders()) walk(sf,arr);
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if(f.contentCount <= 0) return;
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for(let e = f.getNextChild(); e != null; e = f.getNextChild()) {
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for(let i = 0; i < e.numberOfAttachments; ++i) {
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var a = e.getAttachment(i);
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/* XLS spreadsheet test by filename */
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if(/.xls[xmb]?$/.test(a.filename)) arr.push(a);
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}
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}
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}
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/* generate a list of attachments */
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const files = [];
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walk(pst.getRootFolder(), files);
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```
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### Generating Buffers
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The `PSTAttachment` class holds attachment metadata. To avoid loading everything
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in memory, the raw data is exposed as a custom stream object. Since the SheetJS
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`read` function requires data in a `Buffer` or `Uint8Array`, a helper function
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is used to collect the data:
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```js
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/* collect data from the attachment into a "Buffer" */
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function collect(file) {
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const strm = file.fileInputStream;
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const data = Buffer.alloc(strm._length.low);
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strm.readCompletely(data);
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return data;
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}
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/* collect data from the first attachment */
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const buf0 = collect(files[0]);
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```
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### Processing Attachments
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Given a NodeJS Buffer, the SheetJS `read` method[^4] parses the data and returns
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a workbook object[^5]. Individual worksheets can be extracted from the workbook
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and converted to CSV[^6] or HTML[^7].
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The following example prints the contents of each worksheet in CSV form:
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```js
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const XLSX = require("xlsx");
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/* parse workbook and print CSV contents of each sheet */
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const wb = XLSX.read(buf0);
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wb.SheetNames.forEach(n => {
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const ws = wb.Sheets[n];
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const csv = XLSX.utils.sheet_to_csv(ws);
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console.log(`#### ${file.filename} ! ${n}`);
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console.log(csv);
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});
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```
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### Browser Caveats
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The [SheetJS Standalone scripts](/docs/getting-started/installation/standalone)
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can be loaded through a `SCRIPT` tag.
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This demo uses [a special `pst-extractor` build](#browser-build) for the web.
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Compared to the NodeJS build, browser scripts require special Buffer wrappers.
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For example, the following function will fail since the library does not support
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`ArrayBuffer` objects:
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```js
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async function error_fetch_and_parse_pst(url) {
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const ab = await (await fetch(url)).arrayBuffer();
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// this will throw an error
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return new (PSTExtractor.PSTFile)(ab);
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}
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```
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The browser build exposes the `Buffer` object in the `PSTExtractor` global:
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```js
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async function correct_fetch_and_parse_pst(url) {
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const ab = await (await fetch(url)).arrayBuffer();
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// highlight-next-line
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const buf = new PSTExtractor.Buffer(ab);
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return new (PSTExtractor.PSTFile)(buf);
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}
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```
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### Browser Build
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The `pst-extractor` library is designed for NodeJS. Parts of the library expect
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a NodeJS `Buffer`, which does not exist in the browser. A fake `Buffer` can be
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added and exposed in a script.
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[`pstextractor.js`](pathname:///pst/pstextractor.js) is loaded in the demo page.
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<details><summary><b>Build instructions</b> (click to show)</summary>
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1) Initialize a new NodeJS project and install the dependency:
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```bash
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mkdir pstextract
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cd pstextract
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npm init -y
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npm i --save pst-extractor@1.9.0
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```
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2) Save the following to `shim.js`:
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```js title="shim.js"
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const PSTExtractor = require("pst-extractor");
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module.exports = PSTExtractor;
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module.exports.Buffer = Buffer;
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```
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3) Build the script:
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```bash
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npx browserify@17.0.0 -s PSTExtractor -o pstextractor.js shim.js
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```
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</details>
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## Demos
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### NodeJS
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This demo will fetch a [test PST](pathnamme:///pst/enron.pst) and extract all
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embedded spreadsheets. The script can be adapted to read local PST files or pull
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PST files from a different URL.
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2024-03-12 06:47:52 +00:00
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:::caution pass
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The demo uses `fetch` and requires NodeJS 18 or later.
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:::
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2023-10-23 01:20:18 +00:00
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0) Initialize a new project:
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```bash
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mkdir sheetjs-pst
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cd sheetjs-pst
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npm init -y
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```
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2) Install the SheetJS NodeJS module and `pst-extractor`:
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<Tabs groupId="pm">
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<TabItem value="npm" label="npm">
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<CodeBlock language="bash">{`\
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npm i --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz pst-extractor`}
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</CodeBlock>
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</TabItem>
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<TabItem value="pnpm" label="pnpm">
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<CodeBlock language="bash">{`\
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2024-03-20 07:05:29 +00:00
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pnpm install --save https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz pst-extractor`}
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</CodeBlock>
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</TabItem>
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<TabItem value="yarn" label="Yarn" default>
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<CodeBlock language="bash">{`\
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yarn add https://cdn.sheetjs.com/xlsx-${current}/xlsx-${current}.tgz pst-extractor`}
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</CodeBlock>
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</TabItem>
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</Tabs>
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2) Download [`SheetJSPST.js`](pathname:///pst/SheetJSPST.js) into project folder:
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```bash
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curl -LO https://docs.sheetjs.com/pst/SheetJSPST.js
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```
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3) Run the script:
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```js
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node SheetJSPST.js
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```
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The process will fetch [the test PST](pathnamme:///pst/enron.pst) and extract
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the embedded spreadsheets. The terminal will display info on the exported files.
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:::note pass
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Lines starting with `saving file` show how attachments correspond to files. The
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following line states that the first attachment (index `0`) was originally named
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`RedRockA.xls` and was saved to `file0.xls` on the file system:
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```
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saving file 0 |RedRockA.xls| to file0.xls
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```
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Lines starting with `####` show the attachment file name and the worksheet name.
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The following line explains that there is a worksheet named `"Oct 26, 2001"` in
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the file `RedRockA.xls`:
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```
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#### RedRockA.xls ! Oct 26, 2001
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```
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Every other line is a CSV row from the named worksheet. For example, the first
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four lines of worksheet `"Oct 26, 2001"` in `RedRockA.xls` are shown below:
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```text
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#### RedRockA.xls ! Oct 26, 2001
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// highlight-start
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RED ROCK EXPANSION PROJECT,,,,,,,,,,,,,,,,,,
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,,,,,,,,,,,,,,,,,,
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,,,, , , ,,,,,,,,,,,,
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SHIPPER,CONTRACT #,Term,MMBtu/d,RECEIPT POINT,DELIVERY POINT,MMBtu/d,,,,,,,,,,,,
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// highlight-end
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```
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:::
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### Live Demo
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This demo reads PST mailboxes. Due to browser limitations, PST files larger than
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100 MB may crash the browser.
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After parsing the PST file, the "Attachments" table will list attached XLSX and
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XLS spreadsheets in the file. The "preview" link will display a HTML table with
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the data in the spreadsheet. The "download" link will download the attachment.
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The [test file](pathname:///pst/enron.pst) was based on the EDRM clean extract
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from the "Enron Corpus" and includes a few XLS attachments.
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:::caution pass
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If the live demo shows a message
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```
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Please reload the page
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```
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please refresh the page. This is a known bug in the documentation generator.
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:::
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```jsx live
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function SheetJSPreviewPSTSheets() {
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const [ files, setFiles ] = React.useState([]);
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const [ __html, setHTML ] = React.useState("");
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/* recursively walk PST and collect attachments */
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const walk = (f,arr) => {
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if(f.hasSubfolders) for(let sf of f.getSubFolders()) walk(sf,arr);
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if(f.contentCount <= 0) return;
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for(let e = f.getNextChild(); e != null; e = f.getNextChild()) {
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for(let i = 0; i < e.numberOfAttachments; ++i) {
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var a = e.getAttachment(i);
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/* XLS spreadsheet test by filename */
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if(/.xls[xmb]?$/.test(a.filename)) arr.push(a);
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}
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}
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}
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/* collect data from the attachment into a "Buffer" */
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const collect = (j) => {
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const strm = files[j].fileInputStream;
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const data = new PSTExtractor.Buffer(strm._length.low);
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strm.readCompletely(data);
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return data;
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}
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/* view selected attachment */
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const view = (j) => {
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const data = collect(j);
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/* parse */
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const wb = XLSX.read(data);
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/* convert first sheet to HTML */
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const ws = wb.Sheets[wb.SheetNames[0]];
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setHTML(XLSX.utils.sheet_to_html(ws));
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}
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/* process array buffer */
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const process_ab = (ab) => {
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const pst = new (PSTExtractor.PSTFile)(new PSTExtractor.Buffer(ab));
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const data = [];
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walk(pst.getRootFolder(), data);
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setFiles(data);
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};
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/* on click, fetch and process file */
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const doit = async() => {
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const ab = await (await fetch("/pst/enron.pst")).arrayBuffer();
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process_ab(ab);
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};
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const chg = async(e) => process_ab(await e.target.files[0].arrayBuffer());
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/* download selected attachment */
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const dl = (j) => {
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const a = document.createElement("a");
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a.download = files[j].filename;
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a.href = URL.createObjectURL(new Blob([collect(j)]));
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document.body.appendChild(a);
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a.click();
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document.body.removeChild(a);
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}
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if(typeof PSTExtractor == "undefined") return <b>Please reload the page</b>;
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return ( <>
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<p>Use the file input to select a file, or click "Use a Sample PST"</p>
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<input type="file" accept=".pst" onChange={chg}/>
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<button onClick={doit}>Use a Sample PST!</button><br/><br/>
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2023-12-05 03:46:54 +00:00
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<table><thead><tr><th colspan="3">Attachments</th></tr></thead>
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2023-10-23 01:20:18 +00:00
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<tbody>{files.map((f,j) => (
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<tr key={j}><th>{f.filename}</th>
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<td><a onClick={()=>view(j)}>(preview)</a></td>
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<td><a onClick={()=>dl(j)}>(download)</a></td>
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</tr>
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))}</tbody>
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</table>
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<b>Preview of first worksheet</b><br/>
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<div dangerouslySetInnerHTML={{__html}}></div>
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</> );
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}
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```
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[^1]: The project has no official website. The official [repository](https://github.com/epfromer/pst-extractor) is hosted on GitHub.
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[^2]: Extracted spreadsheets are [available on GitHub](https://github.com/SheetJS/enron_xls)
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[^3]: See [`fs.readFileSync`](https://nodejs.org/api/fs.html#fsreadfilesyncpath-options) in the NodeJS documentation
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[^4]: See [`read` in "Reading Files"](/docs/api/parse-options)
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[^5]: See ["Workbook Object"](/docs/csf/book)
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[^6]: See [`sheet_to_csv` in "CSV and Text"](/docs/api/utilities/csv#delimiter-separated-output)
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[^7]: See [`sheet_to_html` in "Utilities"](/docs/api/utilities/html#html-table-output)
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