This sample implements a function triggered by Azure Blob Storage to resize an image in Node.js. Once the image is resized, the thumbnail image is uploaded back to blob storage.
The key aspects of this sample are in the function bindings and implementation.
In order to interface with image data, you need to configure the function to process binary data.
The following code sets the datatype
parameter to binary
in the function.json
file.
{
"disabled": false,
"bindings": [
{
"name": "myBlob",
"type": "blobTrigger",
"direction": "in",
"path": "images/{name}",
"connection": "AzureWebJobsStorage",
"datatype": "binary" // required to process buffer as image
}
]
}
The sample uses Jimp to resize an incoming buffer to a thumbnail. The buffer is then converted to a stream (as required by createBlockBlobFromStream) and uploaded to Azure Storage.
const stream = require('stream');
const Jimp = require('jimp');
const storage = require('azure-storage');
const blobService = storage.createBlobService();
module.exports = (context, myBlob) => {
const widthInPixels = 100;
const blobName = context.bindingData.name;
const contentType = context.bindingData.properties.contentType;
Jimp.read(myBlob).then((thumbnail) => {
thumbnail.resize(widthInPixels, Jimp.AUTO);
const options = {
contentSettings: { contentType: contentType }
};
thumbnail.getBuffer(Jimp.MIME_PNG, (err, buffer) => {
const readStream = stream.PassThrough();
readStream.end(buffer);
blobService.createBlockBlobFromStream('thumbnails', blobName, readStream, buffer.length, options, (err) => {
context.done();
});
});
}).catch(context.log);
};
You can use the Azure Storage Explorer to view blob containers and verify the resize is successful.