mirror of
https://github.com/Sendouc/sendou.ink.git
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215 lines
5.6 KiB
TypeScript
215 lines
5.6 KiB
TypeScript
import clsx from "clsx";
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import * as React from "react";
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import { Trans, useTranslation } from "react-i18next";
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import { Dropzone, DropzoneAction } from "~/components/Dropzone";
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import { SendouButton } from "~/components/elements/Button";
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import { logger } from "~/utils/logger";
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import * as ImageCrop from "../image-crop/ImageCrop";
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import { ImageCropDialog } from "../image-crop/ImageCropDialog";
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import {
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type ImageFieldValue,
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resolveImageFieldDimensions,
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} from "../image-field";
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import type { FormFieldProps } from "../types";
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import { FormFieldWrapper, useTranslatedTexts } from "./FormFieldWrapper";
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import styles from "./ImageFormField.module.css";
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const IMAGE_QUALITY = 0.8;
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type ImageFormFieldProps = Omit<FormFieldProps<"image">, "onBlur"> & {
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value: ImageFieldValue;
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onChange: (value: ImageFieldValue) => void;
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disabled?: boolean;
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};
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export function ImageFormField({
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name,
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label,
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bottomText,
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dimensions,
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autoValidate,
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error,
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value,
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onChange,
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disabled,
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}: ImageFormFieldProps) {
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const id = React.useId();
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const [processingError, setProcessingError] = React.useState<string>();
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const [pickedImage, setPickedImage] = React.useState<{
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url: string;
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image: HTMLImageElement;
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} | null>(null);
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const { t } = useTranslation(["common", "forms"]);
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const resolvedDimensions = resolveImageFieldDimensions(dimensions);
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const { translatedBottomText } = useTranslatedTexts({
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bottomText:
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bottomText ??
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(autoValidate ? undefined : "forms:bottomTexts.imageModeration"),
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});
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const bottomTexts = [
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t("forms:bottomTexts.imageDimensions", {
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width: resolvedDimensions.width,
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height: resolvedDimensions.height,
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}),
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translatedBottomText,
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].filter(Boolean);
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const previewUrl =
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value?.type === "EXISTING"
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? value.url
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: value?.type === "NEW"
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? value.dataUrl
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: null;
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const handleFile = async (file: File) => {
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setProcessingError(undefined);
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try {
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setPickedImage(await loadImage(file));
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} catch (err) {
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logger.error(err);
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setProcessingError("forms:errors.imageProcessingFailed");
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}
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};
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const closeCropDialog = () => {
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if (pickedImage) URL.revokeObjectURL(pickedImage.url);
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setPickedImage(null);
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};
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const handleCropApply = async (crop: ImageCrop.Crop) => {
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if (!pickedImage) return;
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try {
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const dataUrl = await cropToDataUrl(
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pickedImage.image,
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crop,
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resolvedDimensions,
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);
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onChange({ type: "NEW", dataUrl });
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} catch (err) {
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logger.error(err);
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setProcessingError("forms:errors.imageProcessingFailed");
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}
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closeCropDialog();
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};
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const isBanner =
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dimensions === "thick-banner" ||
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(typeof dimensions === "object" && dimensions.width > dimensions.height);
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return (
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<FormFieldWrapper
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id={id}
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name={name}
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label={label}
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error={processingError ?? error}
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bottomText={bottomTexts.join(" ")}
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>
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<div className="stack sm items-start">
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{previewUrl ? (
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<img
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src={previewUrl}
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alt=""
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className={clsx(styles.preview, { [styles.banner]: isBanner })}
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/>
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) : null}
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{value ? (
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<SendouButton
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variant="minimal-destructive"
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size="small"
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onClick={() => onChange(null)}
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isDisabled={disabled}
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>
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{t("common:actions.remove")}
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</SendouButton>
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) : (
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<Dropzone
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id={id}
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accept="image/png, image/jpeg, image/webp"
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onFile={handleFile}
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disabled={disabled}
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>
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<Trans
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t={t}
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i18nKey="forms:imageDropzone"
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components={{ action: <DropzoneAction /> }}
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/>
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</Dropzone>
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)}
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</div>
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{pickedImage ? (
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<ImageCropDialog
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imageUrl={pickedImage.url}
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imageSize={{
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width: pickedImage.image.naturalWidth,
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height: pickedImage.image.naturalHeight,
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}}
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aspectRatio={resolvedDimensions.width / resolvedDimensions.height}
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shape={isBanner ? "rounded" : "circle"}
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onApply={handleCropApply}
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onClose={closeCropDialog}
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/>
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) : null}
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</FormFieldWrapper>
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);
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}
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function loadImage(file: File) {
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const url = URL.createObjectURL(file);
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const image = new Image();
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image.src = url;
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return image.decode().then(
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() => ({ url, image }),
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(err) => {
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URL.revokeObjectURL(url);
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throw err;
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},
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);
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}
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/** Draws the cropped part of `image` at exactly `width`x`height` as webp (png where the browser can't encode webp). */
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async function cropToDataUrl(
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image: HTMLImageElement,
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crop: ImageCrop.Crop,
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{ width, height }: { width: number; height: number },
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) {
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const imageSize = { width: image.naturalWidth, height: image.naturalHeight };
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const visible = ImageCrop.sourceRect(crop, {
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imageSize,
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aspectRatio: width / height,
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});
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const oriented = ImageCrop.orientedSize(imageSize, crop.rotation);
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const canvas = document.createElement("canvas");
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canvas.width = width;
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canvas.height = height;
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const context = canvas.getContext("2d");
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if (!context) throw new Error("Canvas 2D context not available");
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context.imageSmoothingQuality = "high";
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context.translate(width / 2, height / 2);
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context.scale(width / visible.width, width / visible.width);
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context.translate(
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-(visible.x + visible.width / 2) + oriented.width / 2,
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-(visible.y + visible.height / 2) + oriented.height / 2,
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);
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context.rotate((crop.rotation * Math.PI) / 180);
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context.drawImage(image, -imageSize.width / 2, -imageSize.height / 2);
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const blob = await new Promise<Blob | null>((resolve) =>
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canvas.toBlob(resolve, "image/webp", IMAGE_QUALITY),
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);
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if (!blob) throw new Error("Failed to encode cropped image");
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return new Promise<string>((resolve, reject) => {
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const reader = new FileReader();
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reader.onload = () => resolve(reader.result as string);
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reader.onerror = () => reject(new Error("Failed to read cropped image"));
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reader.readAsDataURL(blob);
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});
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}
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