input.js
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'use strict';
const color = require('color');
const is = require('./is');
const sharp = require('./sharp');
/**
* Extract input options, if any, from an object.
* @private
*/
function _inputOptionsFromObject (obj) {
const { raw, density, limitInputPixels, sequentialRead, failOnError, animated, page, pages, subifd } = obj;
return [raw, density, limitInputPixels, sequentialRead, failOnError, animated, page, pages, subifd].some(is.defined)
? { raw, density, limitInputPixels, sequentialRead, failOnError, animated, page, pages, subifd }
: undefined;
}
/**
* Create Object containing input and input-related options.
* @private
*/
function _createInputDescriptor (input, inputOptions, containerOptions) {
const inputDescriptor = {
failOnError: true,
limitInputPixels: Math.pow(0x3FFF, 2),
sequentialRead: false
};
if (is.string(input)) {
// filesystem
inputDescriptor.file = input;
} else if (is.buffer(input)) {
// Buffer
if (input.length === 0) {
throw Error('Input Buffer is empty');
}
inputDescriptor.buffer = input;
} else if (is.typedArray(input)) {
if (input.length === 0) {
throw Error('Input Bit Array is empty');
}
inputDescriptor.buffer = Buffer.from(input.buffer);
} else if (is.plainObject(input) && !is.defined(inputOptions)) {
// Plain Object descriptor, e.g. create
inputOptions = input;
if (_inputOptionsFromObject(inputOptions)) {
// Stream with options
inputDescriptor.buffer = [];
}
} else if (!is.defined(input) && !is.defined(inputOptions) && is.object(containerOptions) && containerOptions.allowStream) {
// Stream without options
inputDescriptor.buffer = [];
} else {
throw new Error(`Unsupported input '${input}' of type ${typeof input}${
is.defined(inputOptions) ? ` when also providing options of type ${typeof inputOptions}` : ''
}`);
}
if (is.object(inputOptions)) {
// Fail on error
if (is.defined(inputOptions.failOnError)) {
if (is.bool(inputOptions.failOnError)) {
inputDescriptor.failOnError = inputOptions.failOnError;
} else {
throw is.invalidParameterError('failOnError', 'boolean', inputOptions.failOnError);
}
}
// Density
if (is.defined(inputOptions.density)) {
if (is.inRange(inputOptions.density, 1, 100000)) {
inputDescriptor.density = inputOptions.density;
} else {
throw is.invalidParameterError('density', 'number between 1 and 100000', inputOptions.density);
}
}
// limitInputPixels
if (is.defined(inputOptions.limitInputPixels)) {
if (is.bool(inputOptions.limitInputPixels)) {
inputDescriptor.limitInputPixels = inputOptions.limitInputPixels
? Math.pow(0x3FFF, 2)
: 0;
} else if (is.integer(inputOptions.limitInputPixels) && inputOptions.limitInputPixels >= 0) {
inputDescriptor.limitInputPixels = inputOptions.limitInputPixels;
} else {
throw is.invalidParameterError('limitInputPixels', 'integer >= 0', inputOptions.limitInputPixels);
}
}
// sequentialRead
if (is.defined(inputOptions.sequentialRead)) {
if (is.bool(inputOptions.sequentialRead)) {
inputDescriptor.sequentialRead = inputOptions.sequentialRead;
} else {
throw is.invalidParameterError('sequentialRead', 'boolean', inputOptions.sequentialRead);
}
}
// Raw pixel input
if (is.defined(inputOptions.raw)) {
if (
is.object(inputOptions.raw) &&
is.integer(inputOptions.raw.width) && inputOptions.raw.width > 0 &&
is.integer(inputOptions.raw.height) && inputOptions.raw.height > 0 &&
is.integer(inputOptions.raw.channels) && is.inRange(inputOptions.raw.channels, 1, 4)
) {
inputDescriptor.rawWidth = inputOptions.raw.width;
inputDescriptor.rawHeight = inputOptions.raw.height;
inputDescriptor.rawChannels = inputOptions.raw.channels;
inputDescriptor.rawPremultiplied = !!inputOptions.raw.premultiplied;
switch (input.constructor) {
case Uint8Array:
case Uint8ClampedArray:
inputDescriptor.rawDepth = 'uchar';
break;
case Int8Array:
inputDescriptor.rawDepth = 'char';
break;
case Uint16Array:
inputDescriptor.rawDepth = 'ushort';
break;
case Int16Array:
inputDescriptor.rawDepth = 'short';
break;
case Uint32Array:
inputDescriptor.rawDepth = 'uint';
break;
case Int32Array:
inputDescriptor.rawDepth = 'int';
break;
case Float32Array:
inputDescriptor.rawDepth = 'float';
break;
case Float64Array:
inputDescriptor.rawDepth = 'double';
break;
default:
inputDescriptor.rawDepth = 'uchar';
break;
}
} else {
throw new Error('Expected width, height and channels for raw pixel input');
}
}
// Multi-page input (GIF, TIFF, PDF)
if (is.defined(inputOptions.animated)) {
if (is.bool(inputOptions.animated)) {
inputDescriptor.pages = inputOptions.animated ? -1 : 1;
} else {
throw is.invalidParameterError('animated', 'boolean', inputOptions.animated);
}
}
if (is.defined(inputOptions.pages)) {
if (is.integer(inputOptions.pages) && is.inRange(inputOptions.pages, -1, 100000)) {
inputDescriptor.pages = inputOptions.pages;
} else {
throw is.invalidParameterError('pages', 'integer between -1 and 100000', inputOptions.pages);
}
}
if (is.defined(inputOptions.page)) {
if (is.integer(inputOptions.page) && is.inRange(inputOptions.page, 0, 100000)) {
inputDescriptor.page = inputOptions.page;
} else {
throw is.invalidParameterError('page', 'integer between 0 and 100000', inputOptions.page);
}
}
// Multi-level input (OpenSlide)
if (is.defined(inputOptions.level)) {
if (is.integer(inputOptions.level) && is.inRange(inputOptions.level, 0, 256)) {
inputDescriptor.level = inputOptions.level;
} else {
throw is.invalidParameterError('level', 'integer between 0 and 256', inputOptions.level);
}
}
// Sub Image File Directory (TIFF)
if (is.defined(inputOptions.subifd)) {
if (is.integer(inputOptions.subifd) && is.inRange(inputOptions.subifd, -1, 100000)) {
inputDescriptor.subifd = inputOptions.subifd;
} else {
throw is.invalidParameterError('subifd', 'integer between -1 and 100000', inputOptions.subifd);
}
}
// Create new image
if (is.defined(inputOptions.create)) {
if (
is.object(inputOptions.create) &&
is.integer(inputOptions.create.width) && inputOptions.create.width > 0 &&
is.integer(inputOptions.create.height) && inputOptions.create.height > 0 &&
is.integer(inputOptions.create.channels)
) {
inputDescriptor.createWidth = inputOptions.create.width;
inputDescriptor.createHeight = inputOptions.create.height;
inputDescriptor.createChannels = inputOptions.create.channels;
// Noise
if (is.defined(inputOptions.create.noise)) {
if (!is.object(inputOptions.create.noise)) {
throw new Error('Expected noise to be an object');
}
if (!is.inArray(inputOptions.create.noise.type, ['gaussian'])) {
throw new Error('Only gaussian noise is supported at the moment');
}
if (!is.inRange(inputOptions.create.channels, 1, 4)) {
throw is.invalidParameterError('create.channels', 'number between 1 and 4', inputOptions.create.channels);
}
inputDescriptor.createNoiseType = inputOptions.create.noise.type;
if (is.number(inputOptions.create.noise.mean) && is.inRange(inputOptions.create.noise.mean, 0, 10000)) {
inputDescriptor.createNoiseMean = inputOptions.create.noise.mean;
} else {
throw is.invalidParameterError('create.noise.mean', 'number between 0 and 10000', inputOptions.create.noise.mean);
}
if (is.number(inputOptions.create.noise.sigma) && is.inRange(inputOptions.create.noise.sigma, 0, 10000)) {
inputDescriptor.createNoiseSigma = inputOptions.create.noise.sigma;
} else {
throw is.invalidParameterError('create.noise.sigma', 'number between 0 and 10000', inputOptions.create.noise.sigma);
}
} else if (is.defined(inputOptions.create.background)) {
if (!is.inRange(inputOptions.create.channels, 3, 4)) {
throw is.invalidParameterError('create.channels', 'number between 3 and 4', inputOptions.create.channels);
}
const background = color(inputOptions.create.background);
inputDescriptor.createBackground = [
background.red(),
background.green(),
background.blue(),
Math.round(background.alpha() * 255)
];
} else {
throw new Error('Expected valid noise or background to create a new input image');
}
delete inputDescriptor.buffer;
} else {
throw new Error('Expected valid width, height and channels to create a new input image');
}
}
} else if (is.defined(inputOptions)) {
throw new Error('Invalid input options ' + inputOptions);
}
return inputDescriptor;
}
/**
* Handle incoming Buffer chunk on Writable Stream.
* @private
* @param {Buffer} chunk
* @param {string} encoding - unused
* @param {Function} callback
*/
function _write (chunk, encoding, callback) {
/* istanbul ignore else */
if (Array.isArray(this.options.input.buffer)) {
/* istanbul ignore else */
if (is.buffer(chunk)) {
if (this.options.input.buffer.length === 0) {
this.on('finish', () => {
this.streamInFinished = true;
});
}
this.options.input.buffer.push(chunk);
callback();
} else {
callback(new Error('Non-Buffer data on Writable Stream'));
}
} else {
callback(new Error('Unexpected data on Writable Stream'));
}
}
/**
* Flattens the array of chunks accumulated in input.buffer.
* @private
*/
function _flattenBufferIn () {
if (this._isStreamInput()) {
this.options.input.buffer = Buffer.concat(this.options.input.buffer);
}
}
/**
* Are we expecting Stream-based input?
* @private
* @returns {boolean}
*/
function _isStreamInput () {
return Array.isArray(this.options.input.buffer);
}
/**
* Fast access to (uncached) image metadata without decoding any compressed image data.
* A `Promise` is returned when `callback` is not provided.
*
* - `format`: Name of decoder used to decompress image data e.g. `jpeg`, `png`, `webp`, `gif`, `svg`
* - `size`: Total size of image in bytes, for Stream and Buffer input only
* - `width`: Number of pixels wide (EXIF orientation is not taken into consideration)
* - `height`: Number of pixels high (EXIF orientation is not taken into consideration)
* - `space`: Name of colour space interpretation e.g. `srgb`, `rgb`, `cmyk`, `lab`, `b-w` [...](https://libvips.github.io/libvips/API/current/VipsImage.html#VipsInterpretation)
* - `channels`: Number of bands e.g. `3` for sRGB, `4` for CMYK
* - `depth`: Name of pixel depth format e.g. `uchar`, `char`, `ushort`, `float` [...](https://libvips.github.io/libvips/API/current/VipsImage.html#VipsBandFormat)
* - `density`: Number of pixels per inch (DPI), if present
* - `chromaSubsampling`: String containing JPEG chroma subsampling, `4:2:0` or `4:4:4` for RGB, `4:2:0:4` or `4:4:4:4` for CMYK
* - `isProgressive`: Boolean indicating whether the image is interlaced using a progressive scan
* - `pages`: Number of pages/frames contained within the image, with support for TIFF, HEIF, PDF, animated GIF and animated WebP
* - `pageHeight`: Number of pixels high each page in a multi-page image will be.
* - `loop`: Number of times to loop an animated image, zero refers to a continuous loop.
* - `delay`: Delay in ms between each page in an animated image, provided as an array of integers.
* - `pagePrimary`: Number of the primary page in a HEIF image
* - `levels`: Details of each level in a multi-level image provided as an array of objects, requires libvips compiled with support for OpenSlide
* - `subifds`: Number of Sub Image File Directories in an OME-TIFF image
* - `background`: Default background colour, if present, for PNG (bKGD) and GIF images, either an RGB Object or a single greyscale value
* - `compression`: The encoder used to compress an HEIF file, `av1` (AVIF) or `hevc` (HEIC)
* - `hasProfile`: Boolean indicating the presence of an embedded ICC profile
* - `hasAlpha`: Boolean indicating the presence of an alpha transparency channel
* - `orientation`: Number value of the EXIF Orientation header, if present
* - `exif`: Buffer containing raw EXIF data, if present
* - `icc`: Buffer containing raw [ICC](https://www.npmjs.com/package/icc) profile data, if present
* - `iptc`: Buffer containing raw IPTC data, if present
* - `xmp`: Buffer containing raw XMP data, if present
* - `tifftagPhotoshop`: Buffer containing raw TIFFTAG_PHOTOSHOP data, if present
*
* @example
* const image = sharp(inputJpg);
* image
* .metadata()
* .then(function(metadata) {
* return image
* .resize(Math.round(metadata.width / 2))
* .webp()
* .toBuffer();
* })
* .then(function(data) {
* // data contains a WebP image half the width and height of the original JPEG
* });
*
* @param {Function} [callback] - called with the arguments `(err, metadata)`
* @returns {Promise<Object>|Sharp}
*/
function metadata (callback) {
if (is.fn(callback)) {
if (this._isStreamInput()) {
this.on('finish', () => {
this._flattenBufferIn();
sharp.metadata(this.options, callback);
});
} else {
sharp.metadata(this.options, callback);
}
return this;
} else {
if (this._isStreamInput()) {
return new Promise((resolve, reject) => {
this.on('finish', () => {
this._flattenBufferIn();
sharp.metadata(this.options, (err, metadata) => {
if (err) {
reject(err);
} else {
resolve(metadata);
}
});
});
});
} else {
return new Promise((resolve, reject) => {
sharp.metadata(this.options, (err, metadata) => {
if (err) {
reject(err);
} else {
resolve(metadata);
}
});
});
}
}
}
/**
* Access to pixel-derived image statistics for every channel in the image.
* A `Promise` is returned when `callback` is not provided.
*
* - `channels`: Array of channel statistics for each channel in the image. Each channel statistic contains
* - `min` (minimum value in the channel)
* - `max` (maximum value in the channel)
* - `sum` (sum of all values in a channel)
* - `squaresSum` (sum of squared values in a channel)
* - `mean` (mean of the values in a channel)
* - `stdev` (standard deviation for the values in a channel)
* - `minX` (x-coordinate of one of the pixel where the minimum lies)
* - `minY` (y-coordinate of one of the pixel where the minimum lies)
* - `maxX` (x-coordinate of one of the pixel where the maximum lies)
* - `maxY` (y-coordinate of one of the pixel where the maximum lies)
* - `isOpaque`: Is the image fully opaque? Will be `true` if the image has no alpha channel or if every pixel is fully opaque.
* - `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
* - `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any (experimental)
* - `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram (experimental)
*
* **Note**: Statistics are derived from the original input image. Any operations performed on the image must first be
* written to a buffer in order to run `stats` on the result (see third example).
*
* @example
* const image = sharp(inputJpg);
* image
* .stats()
* .then(function(stats) {
* // stats contains the channel-wise statistics array and the isOpaque value
* });
*
* @example
* const { entropy, sharpness, dominant } = await sharp(input).stats();
* const { r, g, b } = dominant;
*
* @example
* const image = sharp(input);
* // store intermediate result
* const part = await image.extract(region).toBuffer();
* // create new instance to obtain statistics of extracted region
* const stats = await sharp(part).stats();
*
* @param {Function} [callback] - called with the arguments `(err, stats)`
* @returns {Promise<Object>}
*/
function stats (callback) {
if (is.fn(callback)) {
if (this._isStreamInput()) {
this.on('finish', () => {
this._flattenBufferIn();
sharp.stats(this.options, callback);
});
} else {
sharp.stats(this.options, callback);
}
return this;
} else {
if (this._isStreamInput()) {
return new Promise((resolve, reject) => {
this.on('finish', function () {
this._flattenBufferIn();
sharp.stats(this.options, (err, stats) => {
if (err) {
reject(err);
} else {
resolve(stats);
}
});
});
});
} else {
return new Promise((resolve, reject) => {
sharp.stats(this.options, (err, stats) => {
if (err) {
reject(err);
} else {
resolve(stats);
}
});
});
}
}
}
/**
* Decorate the Sharp prototype with input-related functions.
* @private
*/
module.exports = function (Sharp) {
Object.assign(Sharp.prototype, {
// Private
_inputOptionsFromObject,
_createInputDescriptor,
_write,
_flattenBufferIn,
_isStreamInput,
// Public
metadata,
stats
});
};