asadbek064/docs.sheetjs.com
1
Fork 0
forked from sheetjs/docs.sheetjs.com
Code Pull Requests Activity

azure

Browse Source
This commit is contained in:
SheetJS 2022-08-21 15:43:30 -04:00
parent 4b4bf7ff54
commit 541e0a8348
9 changed files with 325 additions and 30 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
.spelling
View File

@ -23,12 +23,18 @@ SpreadsheetML
Unhide
VBA
Visicalc
Chartsheet
chartsheet
Chartsheets
chartsheets
Dialogsheet
dialogsheet
Dialogsheets
dialogsheets
dBASE
Macrosheet
macrosheet
Macrosheets
macrosheets
tooltip
tooltips
@ -192,3 +198,11 @@ vscode-data-preview
axios
superagent
LLC
Bundlers
JSON
QPW
XLML
XLS
XLSB
XLSX

4
Makefile
View File

@ -10,6 +10,10 @@ build:
serve:
cd docs; python -mSimpleHTTPServer || python3 -mhttp.server; cd -
.PHONY: spell
spell:
npx spellchecker-cli -d .spelling -f 'docz/**/*.md*'
.PHONY: index
index: readme ## Rebuild site
sed -i .bak 's/](d/](https:\/\/github.com\/SheetJS\/SheetJS\/tree\/master\/d/g' README.md

16
docz/docs/02-getting-started/02-example.mdx
View File

@ -18,8 +18,8 @@ and birthdays. [Click here](#live-demo) to jump to the live demo
### Raw Data
[The raw data is available in JSON form](https://theunitedstates.io/congress-legislators/executive.json).
For convenience, it has been [mirrored here](https://sheetjs.com/executive.json)
[The raw data is available in JSON form](https://theunitedstates.io/congress-legislators/data/executive.json).
For convenience, it has been [mirrored here](https://sheetjs.com/data/executive.json)
The data result is an Array of objects. This is the data for John Adams:
@ -165,7 +165,7 @@ XLSX.writeFile(workbook, "Presidents.xlsx");
```jsx live
function Presidents() { return ( <button onClick={async () => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -213,7 +213,7 @@ hosted (no `file:///` access).
<script>
(async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -259,7 +259,7 @@ const XLSX = require("xlsx");
(async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -309,7 +309,7 @@ const axios = require("axios");
(async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
// highlight-next-line
const raw_data = (await axios(url, {responseType: "json"})).data;
@ -352,7 +352,7 @@ Save the following script to `snippet.ts` and run with
import * as XLSX from 'https://cdn.sheetjs.com/xlsx-latest/package/xlsx.mjs';
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -393,7 +393,7 @@ import * as fs from 'fs';
XLSX.set_fs(fs);
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */

8
docz/docs/03-demos/03-database.md
View File

@ -101,7 +101,7 @@ await db.collection('coll').insertMany(aoo, { ordered: true });
:::
This example will fetch <https://sheetjs.com/cd.xls>, scan the columns of the
This example will fetch <https://sheetjs.com/data/cd.xls>, scan the columns of the
first worksheet to determine data types, and generate 6 PostgreSQL statements.
<details><summary><b>Explanation</b> (click to show)</summary>
@ -208,7 +208,7 @@ function SheetJSQLWriter() {
if(fields.length) return `INSERT INTO \`${wsname}\` (${fields.join(", ")}) VALUES (${values.join(", ")})`;
})).filter(x => x).slice(0, 6);
}
const [url, setUrl] = React.useState("https://sheetjs.com/cd.xls");
const [url, setUrl] = React.useState("https://sheetjs.com/data/cd.xls");
const set_url = React.useCallback((evt) => setUrl(evt.target.value));
const [out, setOut] = React.useState("");
const xport = React.useCallback(async() => {
@ -494,7 +494,7 @@ for(var i = 0; i < localStorage.length; ++i) aoo.push(JSON.parse(localStorage.ge
const ws = XLSX.utils.json_to_sheet(aoo);
```
This example will fetch <https://sheetjs.com/cd.xls>, fill `localStorage` with
This example will fetch <https://sheetjs.com/data/cd.xls>, fill `localStorage` with
rows, then generate a worksheet from the rows and write to a new file.
:::caution
@ -506,7 +506,7 @@ is strongly recommended to convert that array to a worksheet directly.
```jsx live
function SheetJStorage() {
const [url, setUrl] = React.useState("https://sheetjs.com/cd.xls");
const [url, setUrl] = React.useState("https://sheetjs.com/data/cd.xls");
const set_url = React.useCallback((evt) => setUrl(evt.target.value));
const [out, setOut] = React.useState("");
const xport = React.useCallback(async() => {

8
docz/docs/03-demos/08-ml.mdx
View File

@ -44,7 +44,7 @@ function worksheet_to_csv_url(worksheet) {
```
[This demo mirrors TFjs docs](https://js.tensorflow.org/api/latest/#data.csv),
fetching [an XLSX export of the example dataset](https://sheetjs.com/bht.xlsx).
fetching [an XLSX export of the example dataset](https://sheetjs.com/data/bht.xlsx).
<details><summary><b>TF CSV Demo using XLSX files</b> (click to show)</summary>
@ -53,7 +53,7 @@ function SheetJSToTFJSCSV() {
const [output, setOutput] = React.useState("");
const doit = React.useCallback(async () => {
/* fetch file */
const f = await fetch("https://sheetjs.com/bht.xlsx");
const f = await fetch("https://sheetjs.com/data/bht.xlsx");
const ab = await f.arrayBuffer();
/* parse file and get first worksheet */
const wb = XLSX.read(ab);
@ -125,7 +125,7 @@ loads data from a JSON file:
]
```
In real use cases, data is stored in [spreadsheets](https://sheetjs.com/cd.xls)
In real use cases, data is stored in [spreadsheets](https://sheetjs.com/data/cd.xls)
![cd.xls screenshot](pathname:///files/cd.png)
@ -140,7 +140,7 @@ from the official example are highlighted below:
async function getData() {
// highlight-start
/* fetch file */
const carsDataResponse = await fetch('https://sheetjs.com/cd.xls');
const carsDataResponse = await fetch('https://sheetjs.com/data/cd.xls');
/* get file data (ArrayBuffer) */
const carsDataAB = await carsDataResponse.arrayBuffer();
/* parse */

22
docz/docs/03-demos/09-bundler.md
View File

@ -124,7 +124,7 @@ import * as fs from 'fs';
XLSX.set_fs(fs);
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -209,7 +209,7 @@ import { utils, version, writeFileXLSX } from 'xlsx/xlsx.mjs';
(async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -291,7 +291,7 @@ set_fs(fs);
(async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -369,7 +369,7 @@ import { utils, version, writeFileXLSX } from 'xlsx';
document.getElementById("vers").innerText = version;
document.getElementById("xport").onclick = async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -495,7 +495,7 @@ import { utils, version, writeFileXLSX } from 'xlsx/xlsx.mjs';
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -589,7 +589,7 @@ import { utils, version, writeFileXLSX } from 'xlsx/xlsx.mjs';
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -694,7 +694,7 @@ import { utils, version, writeFileXLSX } from 'xlsx';
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -910,7 +910,7 @@ SystemJS.config({
SystemJS.import('xlsx').then(async function(XLSX) {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -1005,7 +1005,7 @@ interface President {
async function xport() {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data: President[] = await (await fetch(url)).json();
/* filter for the Presidents */
@ -1108,7 +1108,7 @@ import { utils, version, writeFileXLSX } from 'xlsx/xlsx.mjs';
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */
@ -1268,7 +1268,7 @@ import { utils, version, writeFileXLSX } from 'xlsx/xlsx.mjs';
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */

277
docz/docs/03-demos/25-azure.md Normal file
View File

@ -0,0 +1,277 @@
---
sidebar_position: 25
title: Azure Cloud Services
---
Azure is a Cloud Services platform which includes traditional virtual machine
support, "Serverless Functions", cloud storage and much more.
:::caution
Azure iterates quickly and there is no guarantee that the referenced services
will be available in the future.
:::
This demo focuses on two key offerings: cloud storage ("Azure Blob Storage")
and the "Serverless Function" platform ("Azure Functions").
## Azure Functions
This discussion focuses on the "HTTP Trigger" function type.
:::info
To enable binary data processing, a setting must be changed in `function.json`:
```json title="function.json"
{
"bindings": [
{
"type": "httpTrigger",
"direction": "in",
//highlight-next-line
"dataType": "binary",
"name": "req",
```
:::
### Reading Data
`formidable` expects a stream and Azure does not present one. It can be made:
```js
const XLSX = require('xlsx');
const formidable = require('formidable');
const Readable = require('stream').Readable;
/* formidable expects the request object to be a stream */
const streamify = (req) => {
if(typeof req.on !== 'undefined') return req;
const s = new Readable();
s._read = ()=>{};
s.push(Buffer.from(req.body));
s.push(null);
Object.assign(s, req);
return s;
};
module.exports = (context, req) => {
const form = new formidable.IncomingForm();
form.parse(streamify(req), (err, fields, files) => {
/* grab the first file */
var f = files["upload"];
if(!f) {
context.res = { status: 400, body: "Must submit a file for processing!" };
} else {
/* file is stored in a temp directory, so we can point to that and read it */
const wb = XLSX.read(f.filepath, {type:"file"});
/* generate CSV from first sheet */
const csv = XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]);
context.res = { status: 200, body: csv };
}
context.done();
});
}
```
### Writing Data
The `body` property can be a Buffer, like those generated by `XLSX.write`:
```js
const XLSX = require('xlsx');
module.exports = (context, req) => {
// generate XLSX file in a Buffer
var ws = XLSX.utils.aoa_to_sheet(["SheetJS".split(""), [5,4,3,3,7,9,5]]);
var wb = XLSX.utils.book_new(); XLSX.utils.book_append_sheet(wb, ws, "Data");
// highlight-next-line
var buf = XLSX.write(wb, {type: "buffer", bookType: "xlsx"});
// Set the body and Content-Disposition header
// highlight-start
context.res = {
status: 200,
headers: { "Content-Disposition": `attachment; filename="SheetJSAzure.xlsx";` },
body: buf
};
// highlight-end
context.done();
};
```
### Demo
<details><summary><b>Complete Example</b> (click to show)</summary>
0) Review the quick start for JavaScript on Azure Functions. This involves
installing the Azure Functions Core Tools and other dependencies.
1) Create a new project and install dependencies:
```bash
func init sheetjs-azure --worker-runtime node --language javascript
cd sheetjs-azure
npm i
npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz formidable
```
2) Create a new "HTTP Trigger" function:
```bash
func new --template "Http Trigger" --name SheetJSAzure
```
3) Edit `SheetJSAzure/function.json` to add the `dataType: "binary"` property:
```js title="SheetJSAzure/function.json"
"direction": "in",
// highlight-next-line
"dataType": "binary",
"name": "req",
```
4) Replace `SheetJSAzure/index.js` with the following:
```js title="SheetJSAzure/index.js"
/* sheetjs (C) 2013-present SheetJS -- http://sheetjs.com */
const XLSX = require('xlsx');
const formidable = require('formidable');
const Readable = require('stream').Readable;
/* formidable expects the request object to be a stream */
const streamify = (req) => {
if(typeof req.on !== 'undefined') return req;
const s = new Readable();
s._read = ()=>{};
s.push(Buffer.from(req.body));
s.push(null);
Object.assign(s, req);
return s;
};
module.exports = (context, req) => {
if(req.method == "POST") {
const form = new formidable.IncomingForm();
form.parse(streamify(req), (err, fields, files) => {
/* grab the first file */
var f = files["upload"];
if(!f) {
context.res = { status: 400, body: "Must submit a file for processing!" };
} else {
/* file is stored in a temp directory, so we can point to that and read it */
const wb = XLSX.read(f.filepath, {type:"file"});
/* generate CSV from first sheet */
const csv = XLSX.utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]);
context.res = { status: 200, body: csv };
}
context.done();
});
} else if(req.method == "GET") {
var ws = XLSX.utils.aoa_to_sheet(["SheetJS".split(""), [5,4,3,3,7,9,5]]);
var wb = XLSX.utils.book_new(); XLSX.utils.book_append_sheet(wb, ws, "Data");
var buf = XLSX.write(wb, {type: "buffer", bookType: "xlsx"});
context.res = {
status: 200,
headers: { "Content-Disposition": `attachment; filename="SheetJSAzure.xlsx";` },
body: buf
};
context.done();
} else {
context.res = { status: 500, body: `Unsupported method ${req.method}` };
context.done();
}
};
```
5) Test locally with `npm start`
To test uploads, download <https://sheetjs.com/pres.numbers> and run:
```bash
curl -X POST -F "upload=@pres.numbers" http://localhost:7071/api/SheetJSAzure
```
To test downloads, access http://localhost:7071/api/SheetJSAzure and download
the generated file. Confirm it is a valid file.
6) Deploy to Azure. Replace `NAME_OF_FUNCTION_APP` with the name:
```bash
func azure functionapp publish NAME_OF_FUNCTION_APP
```
Get the function url and test using the same sequence as in step 5.
</details>
## Azure Blob Storage
:::note
This was tested on 2022 August 21.
:::
The main module for Azure Blob Storage is `@azure/storage-blob`. This example
was tested using the "Connection String" authentication method. The strings
are found in the Azure Portal under "Access Keys" for the storage account.
### Reading Data
The `BlobClient#download` method returns a Stream. After collecting into a
Buffer, `XLSX.read` can parse the data:
```js title="SheetJSReadFromAzure.mjs"
import { BlobServiceClient } from "@azure/storage-blob";
import { read, utils } from "xlsx";
/* replace these constants */
const connStr = "<REPLACE WITH CONNECTION STRING>";
const containerName = "<REPLACE WITH CONTAINER NAME>";
const blobName = "<REPLACE WITH BLOB NAME>";
/* get a readable stream*/
const blobServiceClient = BlobServiceClient.fromConnectionString(connStr);
const containerClient = blobServiceClient.getContainerClient(containerName);
const blobClient = containerClient.getBlobClient(blobName);
const response = (await blobClient.download()).readableStreamBody;
/* collect data into a Buffer */
const bufs = [];
for await(const buf of response) bufs.push(buf);
const downloaded = Buffer.concat(bufs);
/* parse downloaded buffer */
const wb = read(downloaded);
/* print first worksheet */
console.log(utils.sheet_to_csv(wb.Sheets[wb.SheetNames[0]]));
```
### Writing Data
`BlockBlobClient#upload` directly accepts a Buffer:
```js title="SheetJSWriteToAzure.mjs"
import { BlobServiceClient } from "@azure/storage-blob";
import { read, utils } from "xlsx";
/* replace these constants */
const connStr = "<REPLACE WITH CONNECTION STRING>";
const containerName = "<REPLACE WITH CONTAINER NAME>";
const blobName = "<REPLACE WITH BLOB NAME>";
/* Create a simple workbook and write XLSX to buffer */
const ws = utils.aoa_to_sheet(["SheetJS".split(""), [5,4,3,3,7,9,5]]);
const wb = utils.book_new(); utils.book_append_sheet(wb, ws, "Sheet1");
const buf = write(wb, {type: "buffer", bookType: "xlsx"});
/* upload buffer */
const blobServiceClient = BlobServiceClient.fromConnectionString(connStr);
const containerClient = blobServiceClient.getContainerClient(containerName);
const blockBlobClient = containerClient.getBlockBlobClient(blobName);
const uploadBlobResponse = await blockBlobClient.upload(buf, buf.length);
```

4
docz/docs/03-demos/index.md
View File

@ -36,7 +36,7 @@ The demo projects include small runnable examples and short explainers.
- [`Command-Line Tools`](./cli)
- [`iOS and Android Mobile Applications`](./mobile)
- [`NodeJS Server-Side Processing`](https://github.com/SheetJS/SheetJS/tree/master/demos/server/)
- [`NodeJS Server-Side Processing`](./server#nodejs)
- [`Deno Server-Side Processing`](./server#deno)
- [`Content Management and Static Sites`](./content)
- [`Electron`](./desktop#electron)
@ -50,7 +50,7 @@ The demo projects include small runnable examples and short explainers.
- [`Excel JavaScript API`](./excel)
- [`Headless Automation`](./headless)
- [`Other JavaScript Engines`](./engines)
- [`"serverless" functions`](https://github.com/SheetJS/SheetJS/tree/master/demos/function/)
- [`Azure Functions and Storage`](./azure)
- [`Databases and Structured Data Stores`](./database)
- [`NoSQL and Unstructured Data Stores`](./nosql)
- [`Legacy Internet Explorer`](./legacy#internet-explorer)

2
docz/static/requirejs/requirejs.html
View File

@ -17,7 +17,7 @@ require.config({
require(["xlsx"], function(XLSX) {
document.getElementById("xport").addEventListener("click", async() => {
/* fetch JSON data and parse */
const url = "https://sheetjs.com/executive.json";
const url = "https://sheetjs.com/data/executive.json";
const raw_data = await (await fetch(url)).json();
/* filter for the Presidents */