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import { ulid } from 'ulid';
import { coordsScaler, toTopLeftCoords } from './BoundingBoxes.svelte';
import { errorMessage, humanFormatName } from './i18n';
import * as db from './idb.svelte';
import { tables } from './idb.svelte';
import { imageLimits } from './inference_utils';
import { clamp, unique } from './utils';
/**
* @import { Image, Protocol } from './database.js';
* @import { IDBTransactionWithAtLeast } from './idb.svelte';
*/
/**
* Used for tests
* @param {string} id
* @param {string} fileId
* @returns {Image}
*/
const sampleImage = (id, fileId) => ({
id,
fileId,
addedAt: new Date(667),
dimensions: { width: 100, height: 100, aspectRatio: 1 },
filename: 'gurt: syubau.jpeg',
boundingBoxesAnalyzed: false,
contentType: 'image/jpeg',
metadata: {}
});
/**
* Retourne un id d'image
* @example "01ARZ3NDEKTSV4RRFFQ69G5FAV_000001"
* @param {string} fileId
* @param {number} subindex
*/
export function imageId(fileId, subindex = 0) {
return `${fileId}_${subindex.toString().padStart(6, '0')}`;
}
/**
* Retourne un id d'un ImageFile
* @example "01ARZ3NDEKTSV4RRFFQ69G5FAV"
*/
export function imageFileId() {
return ulid();
}
if (import.meta.vitest) {
const { test, expect } = import.meta.vitest;
test('imageId', () => {
const id = imageFileId();
expect(imageId(id)).toBe(id + '_000000');
expect(imageId(id, 2)).toBe(id + '_000002');
expect(imageId(id, 1234567)).toBe(id + '_1234567');
});
}
/**
* @param {string} id
*/
export function isValidImageId(id) {
return /^[0-9A-Z]{26}_\d+$/.test(id);
}
if (import.meta.vitest) {
const { test, expect, describe } = import.meta.vitest;
describe('isValidImageId', () => {
test('imageId() generates a valid ID', () => {
expect(isValidImageId(imageId(imageFileId(), 0))).toBe(true);
});
test('imageFileId() is not a valid image ID by itself', () => {
expect(isValidImageId(imageFileId())).toBe(false);
});
});
}
/**
* @param {string} id
*/
function invalidImageIdError(id) {
return new Error(
`Identifiant d'image invalide (le format correct est aaaaaaaaaaaaaaaaaaaaaaaaaa_nnnnnn) : ${id}`
);
}
/**
* Retourne l'id d'un objet ImageFile associé à l'objet Image
* @template {string|undefined} T
* @param {T} id
* @returns {T}
*/
export function imageIdToFileId(id) {
if (id === undefined) return id;
if (!isValidImageId(id)) {
throw invalidImageIdError(id);
}
// @ts-expect-error
return id?.replace(/(_\d+)+$/, '');
}
if (import.meta.vitest) {
const { test, expect } = import.meta.vitest;
test('imageIdToFileId', () => {
const id = '0001KVE9TGKVKZ3GG307YQ70CZ';
expect(imageIdToFileId(`${id}_000000`)).toBe(id);
expect(imageIdToFileId(`${id}_1234567`)).toBe(id);
expect(() => imageIdToFileId(`${id}_${id}_123456`)).toThrowErrorMatchingInlineSnapshot(
`[Error: Identifiant d'image invalide (le format correct est aaaaaaaaaaaaaaaaaaaaaaaaaa_nnnnnn) : 0001KVE9TGKVKZ3GG307YQ70CZ_0001KVE9TGKVKZ3GG307YQ70CZ_123456]`
);
expect(imageIdToFileId(undefined)).toBeUndefined();
expect(() => imageIdToFileId('000001')).toThrowErrorMatchingInlineSnapshot(
`[Error: Identifiant d'image invalide (le format correct est aaaaaaaaaaaaaaaaaaaaaaaaaa_nnnnnn) : 000001]`
);
});
}
/**
* @param {Protocol|undefined} protocol
* @param {string|null} imageFileId
*/
export function imageIsAnalyzed(protocol, imageFileId) {
if (!protocol) return false;
if (!imageFileId) return false;
if (uiState.erroredImages.has(imageFileId)) return true;
return tables.Image.state.some(
(img) => img.fileId === imageFileId && img.boundingBoxesAnalyzed
);
}
/**
* @param {Image} image
*/
export function imageIsClassified(image) {
return Boolean(
(uiState.classificationMetadataId && image.metadata[uiState.classificationMetadataId]) ||
uiState.erroredImages.has(image.id)
);
}
/**
* @param {Image} image
*/
export function imageBufferWasSaved(image) {
return Boolean(image.fileId || uiState.erroredImages.has(image.id));
}
/**
*
* @param {string} id ImageFile ID
* @param {IDBTransactionWithAtLeast<["Image", "ImageFile", "ImagePreviewFile"]>} [tx]
* @param {boolean} [notFoundOk=true]
*/
export async function deleteImageFile(id, tx, notFoundOk = true) {
await db.openTransaction(
['Image', 'ImageFile', 'ImagePreviewFile', 'Observation'],
{ tx },
async (tx) => {
const observations = await tx.objectStore('Observation').getAll();
// Store there cuz imagesOfImageFile() reads from reactive state.
const imagesOfFile = imagesOfImageFile(id);
try {
tx.objectStore('ImageFile').delete(id);
tx.objectStore('ImagePreviewFile').delete(id);
for (const image of imagesOfFile) {
tx.objectStore('Image').delete(image.id);
for (const observation of observations) {
const remainingImages = observation.images.filter(
(imageId) => imageId !== image.id
);
if (remainingImages.length === 0) {
tx.objectStore('Observation').delete(observation.id);
} else if (remainingImages.length < observation.images.length) {
tx.objectStore('Observation').put({
...observation,
images: remainingImages
});
}
}
}
} catch (error) {
if (!notFoundOk) return Promise.reject(error);
}
}
);
uiState.erroredImages.delete(id);
uiState.loadingImages.delete(id);
uiState.queuedImages.delete(id);
if (uiState.imageOpenedInCropper === id) {
uiState.imageOpenedInCropper = '';
}
const previewURL = uiState.previewURLs.get(id);
if (previewURL) {
URL.revokeObjectURL(previewURL);
uiState.previewURLs.delete(id);
}
}
/**
*
* @param {object} param0
* @param {string} param0.id id of the ImageFile to create
* @param {ArrayBuffer} param0.originalBytes the image data
* @param {ArrayBuffer} param0.resizedBytes resized image data
* @param {string} param0.contentType the content type of the image
* @param {string} param0.filename the filename of the image
* @param {number} param0.width the width of the image
* @param {number} param0.height the height of the image
* @param {IDBTransactionWithAtLeast<['Image', 'ImageFile', 'ImagePreviewFile']>} [param0.tx] transaction to use
*/
export async function storeImageBytes({
id,
originalBytes,
resizedBytes,
contentType,
filename,
width,
height,
tx
}) {
await db.openTransaction(['ImageFile', 'ImagePreviewFile'], { tx }, async (tx) => {
tx.objectStore('ImageFile').put({
id,
bytes: originalBytes,
contentType,
filename,
dimensions: { width, height }
});
tx.objectStore('ImagePreviewFile').put({
id,
bytes: resizedBytes,
contentType,
filename,
dimensions: { width, height }
});
const preview = new Blob([resizedBytes], { type: contentType });
uiState.setPreviewURL(id, URL.createObjectURL(preview));
});
}
// ATTENTION: Changer aussi dans la validation des définitions de protocoles (Ctrl-F pour 1024 dans tout le projet pour être sûr·e de rien louper) si jamais on change ça
const MAXWIDTH = 1024;
/**
* @param {object} param0
* @param {number} param0.width
* @param {number} param0.height
*/
const MAXHEIGHT = ({ width, height }) => Math.round((MAXWIDTH * height) / width);
const RAW_IMAGE_MEDIA_TYPES = [
'image/CR2',
'image/x-canon-cr2',
'image/x-dcraw',
'image/x-canon-crw',
'image/x-kodak-dcr',
'image/x-adobe-dng',
'image/x-epson-erf',
'image/x-kodak-k25',
'image/x-kodak-kdc',
'image/x-minolta-mrw',
'image/x-nikon-nef',
'image/x-olympus-orf',
'image/x-pentax-pef',
'image/x-fuji-raf',
'image/x-panasonic-raw',
'image/x-sony-sr2',
'image/x-sony-srf',
'image/x-sigma-x3f'
];
const ALWAYS_SUPPORTED_TYPES = ['image/jpeg', 'image/png'];
const SUPPORT_PLANNED_TYPES = [...RAW_IMAGE_MEDIA_TYPES];
export function errorMessageImageTooLarge() {
return `L'image est trop grande pour être traitée. Elle doit faire moins de ${imageLimits.maxResolutionInMP} Megapixels et ${imageLimits.maxMemoryUsageInMB} Mo`;
}
/**
* Resize an image to fit within MAXWIDTH and MAXHEIGHT
* @param {object} param0
* @param {Blob} param0.source
* @returns {Promise<[[number, number], ArrayBuffer]>} [[original width, original height], resized image data]
*/
export async function resizeToMaxSize({ source }) {
// For some reason top-level import fails
const { resize } = await import('pica-gpu');
const originalImage = await createImageBitmap(source).catch((error) => {
throw new Error(
ALWAYS_SUPPORTED_TYPES.includes(source.type)
? errorMessage(error)
: SUPPORT_PLANNED_TYPES.includes(source.type)
? `Les fichiers ${humanFormatName(source.type)} ne sont pas encore supportés`
: `Le format de fichier ${humanFormatName(source.type)} n'est pas supporté`
);
});
const { width, height } = originalImage;
if (width * height > imageLimits.maxResolutionInMP * 1e6) {
throw new Error(errorMessageImageTooLarge());
}
const originalCanvas = document.createElement('canvas');
originalCanvas.width = width;
originalCanvas.height = height;
originalCanvas.getContext('2d')?.drawImage(originalImage, 0, 0);
const resizedCanvas = document.createElement('canvas');
resizedCanvas.width = MAXWIDTH;
resizedCanvas.height = MAXHEIGHT(originalImage);
resize(originalCanvas, resizedCanvas, {
targetWidth: MAXWIDTH,
targetHeight: MAXHEIGHT(originalImage),
filter: 'mks2013'
});
return new Promise((resolve) => {
resizedCanvas.toBlob((blob) => {
if (!blob) throw new Error('Failed to resize image');
blob.arrayBuffer().then((buf) => resolve([[width, height], buf]));
}, source.type);
});
}
/**
*
* @param {string} imageFileId
* @param {Image[]} [images] look for images in this array instead of the database
* @returns {Image[]}
*/
export function imagesOfImageFile(imageFileId, images = undefined) {
return (images ?? tables.Image.state).filter((img) => img.fileId === imageFileId);
}
if (import.meta.vitest) {
const { _tablesState } = await import('./idb.svelte');
const { test, expect } = import.meta.vitest;
test('imagesOfImageFile', () => {
const images = [sampleImage('1', '1'), sampleImage('2', '1'), sampleImage('3', '2')];
const [img1, img2] = images;
expect(imagesOfImageFile('1', images)).toEqual([img1, img2]);
_tablesState.Image = [];
expect(imagesOfImageFile('1')).toEqual([]);
_tablesState.Image = images;
expect(imagesOfImageFile('1')).toEqual([img1, img2]);
});
}
/**
*
* @param {Image[]} images
* @returns {string[]}
*/
export function imageFileIds(images) {
return unique(images.map((image) => image.fileId).filter((id) => id !== null));
}
if (import.meta.vitest) {
const { test, expect } = import.meta.vitest;
test('imageFileIds', () => {
const images = [sampleImage('1', '1'), sampleImage('2', '1'), sampleImage('3', '2')];
expect(imageFileIds(images)).toEqual(['1', '2']);
});
}
/**
* @param {string} imageId
* @returns {{ fileId: string; subindex: number|null }}
*/
export function parseImageId(imageId) {
if (!isValidImageId(imageId) && !isValidImageId(`${imageId}_000000`)) {
throw invalidImageIdError(imageId);
}
const [fileId, subindex] = imageId.split('_', 2);
const subindexNumber = Number.parseInt(subindex, 10);
return {
fileId,
subindex: Number.isNaN(subindexNumber) ? null : subindexNumber
};
}
if (import.meta.vitest) {
const { test, expect, describe } = import.meta.vitest;
describe('parseImageId', () => {
test('parses regular IDs', () => {
const id = '0001KVE9TGKVKZ3GG307YQ70CZ';
expect(parseImageId(`${id}_000000`)).toEqual({ fileId: id, subindex: 0 });
expect(parseImageId(`${id}_1234567`)).toEqual({ fileId: id, subindex: 1234567 });
});
test('parses ImageFile IDs', () => {
const id = '0001KVE9TGKVKZ3GG307YQ70CZ';
expect(parseImageId(id)).toEqual({ fileId: id, subindex: null });
});
test('throws on malformed IDs', () => {
expect(() => parseImageId('coming in hot!!!')).toThrowErrorMatchingInlineSnapshot(
`[Error: Identifiant d'image invalide (le format correct est aaaaaaaaaaaaaaaaaaaaaaaaaa_nnnnnn) : coming in hot!!!]`
);
});
test('roundtrip', () => {
const id = imageFileId();
expect(parseImageId(imageId(id, 1234567))).toStrictEqual({
fileId: id,
subindex: 1234567
});
});
});
}
/**
* @param {ArrayBuffer} bytes image bytes
* @param {string} contentType content type of the image
* @param {import('./metadata').RuntimeValue<'boundingbox'>} centeredBoundingBox
* @param {string} [padding] padding to add around the bounding box when cropping images. string of the form "npx" or "n%"
* @returns {Promise<{ cropped: ArrayBuffer, original: ArrayBuffer }>}
*/
export async function cropImage(bytes, contentType, centeredBoundingBox, padding = '0px') {
const bitmap = await createImageBitmap(new Blob([bytes], { type: contentType }));
const boundingBox = coordsScaler({ x: bitmap.width, y: bitmap.height })(
toTopLeftCoords(centeredBoundingBox)
);
const { inPixels } = parseCropPadding(padding);
const paddingPixels = { x: inPixels(bitmap.width), y: inPixels(bitmap.height) };
try {
const croppedBitmap = await createImageBitmap(
bitmap,
clamp(boundingBox.x - paddingPixels.x, 0, bitmap.width),
clamp(boundingBox.y - paddingPixels.y, 0, bitmap.height),
clamp(boundingBox.width + 2 * paddingPixels.x, 1, bitmap.width),
clamp(boundingBox.height + 2 * paddingPixels.y, 1, bitmap.height)
);
const canvas = new OffscreenCanvas(croppedBitmap.width, croppedBitmap.height);
canvas.getContext('2d')?.drawImage(croppedBitmap, 0, 0);
const croppedBytes = await canvas
.convertToBlob({
type: ['image/png', 'image/jpeg'].includes(contentType) ? contentType : 'image/png'
})
.then((blob) => blob.arrayBuffer());
// @ts-ignore
return { cropped: croppedBytes, original: bytes };
} catch (error) {
throw new Error(
`Couldn't crop with ${JSON.stringify({ boundingBox, padding })}: ${error}`,
{
cause: error
}
);
} finally {
bitmap.close();
}
}
/**
*
* @param {string} padding
* @returns {{ withUnit: string, unitless: number, unit: 'px' | '%', inPixels: (basis: number) => number }}
*/
export function parseCropPadding(padding) {
const match = padding.match(/(\d+)(px|%)/);
if (!match) throw new Error(`Invalid crop padding: ${padding}`);
const [value, unit] = [Number.parseInt(match[1], 10), /** @type {'%'|'px'} */ (match[2])];
return {
withUnit: padding,
unitless: value,
unit,
inPixels: (axis) => (unit === 'px' ? value : Math.round((axis * value) / 100))
};
}
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