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-rw-r--r--src/client/util/bezierFit.ts1
-rw-r--r--src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx2
-rw-r--r--src/client/views/nodes/ImageBox.tsx5
-rw-r--r--src/client/views/nodes/imageEditor/imageEditingUtils/ImageHandler.ts312
-rw-r--r--src/client/views/smartdraw/DrawingFillHandler.tsx18
-rw-r--r--src/client/views/smartdraw/FireflyConstants.ts20
-rw-r--r--src/client/views/smartdraw/SmartDrawHandler.scss3
-rw-r--r--src/client/views/smartdraw/SmartDrawHandler.tsx34
-rw-r--r--src/server/ApiManagers/FireflyManager.ts7
9 files changed, 51 insertions, 351 deletions
diff --git a/src/client/util/bezierFit.ts b/src/client/util/bezierFit.ts
index 84b27e84c..7ef370d48 100644
--- a/src/client/util/bezierFit.ts
+++ b/src/client/util/bezierFit.ts
@@ -703,6 +703,7 @@ export function SVGToBezier(name: SVGType, attributes: any): Point[] {
coordList.push({ X: parseInt(match[1]), Y: parseInt(match[2]) });
coordList.push({ X: parseInt(match[1]), Y: parseInt(match[2]) });
coordList.push({ X: parseInt(match[3]), Y: parseInt(match[4]) });
+ coordList.push({ X: parseInt(match[3]), Y: parseInt(match[4]) });
lastPt = { X: parseInt(match[3]), Y: parseInt(match[4]) };
} else if (match[0].startsWith('C')) {
coordList.push({ X: parseInt(match[5]), Y: parseInt(match[6]) });
diff --git a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx
index 4bccdd286..ef0b80720 100644
--- a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx
+++ b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx
@@ -1995,7 +1995,7 @@ export class CollectionFreeFormView extends CollectionSubView<Partial<collection
});
this.layoutDoc.drawingData != undefined &&
optionItems.push({
- description: 'Show Drawing Editor',
+ description: 'Regenerate AI Drawing',
event: action(() => {
SmartDrawHandler.Instance.CreateDrawingDoc = this.createDrawingDoc;
SmartDrawHandler.Instance.AddDrawing = this.addDrawing;
diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx
index 8f6a90e61..7ce429f0f 100644
--- a/src/client/views/nodes/ImageBox.tsx
+++ b/src/client/views/nodes/ImageBox.tsx
@@ -355,9 +355,8 @@ export class ImageBox extends ViewBoxAnnotatableComponent<FieldViewProps>() {
this.layoutDoc.ai_generated &&
funcs.push({
description: 'Regenerate AI Image',
- event: action(() => {
- console.log('COOOORDS', this.dataDoc.width as number, this.dataDoc.y as number);
- !SmartDrawHandler.Instance.ShowRegenerate ? SmartDrawHandler.Instance.displayRegenerate(this.dataDoc.x as number, (this.dataDoc.y as number) - 10) : SmartDrawHandler.Instance.hideRegenerate();
+ event: action(e => {
+ !SmartDrawHandler.Instance.ShowRegenerate ? SmartDrawHandler.Instance.displayRegenerate(e?.x || 0, e?.y || 0) : SmartDrawHandler.Instance.hideRegenerate();
}),
icon: 'pen-to-square',
});
diff --git a/src/client/views/nodes/imageEditor/imageEditingUtils/ImageHandler.ts b/src/client/views/nodes/imageEditor/imageEditingUtils/ImageHandler.ts
deleted file mode 100644
index 514e8a94f..000000000
--- a/src/client/views/nodes/imageEditor/imageEditingUtils/ImageHandler.ts
+++ /dev/null
@@ -1,312 +0,0 @@
-import { RefObject } from 'react';
-import { bgColor, canvasSize } from '../ImageEditorUtils/imageEditorConstants';
-
-export interface APISuccess {
- status: 'success';
- urls: string[];
-}
-
-export interface APIError {
- status: 'error';
- message: string;
-}
-
-export class ImageUtility {
- /**
- *
- * @param canvas Canvas to convert
- * @returns Blob of canvas
- */
- static canvasToBlob = (canvas: HTMLCanvasElement): Promise<Blob> =>
- new Promise(resolve => {
- canvas.toBlob(blob => {
- if (blob) {
- resolve(blob);
- }
- }, 'image/png');
- });
-
- // given a square api image, get the cropped img
- static getCroppedImg = (img: HTMLImageElement, width: number, height: number): HTMLCanvasElement | undefined => {
- // Create a new canvas element
- const canvas = document.createElement('canvas');
- canvas.width = width;
- canvas.height = height;
- const ctx = canvas.getContext('2d');
- if (ctx) {
- // Clear the canvas
- ctx.clearRect(0, 0, canvas.width, canvas.height);
- if (width < height) {
- // horizontal padding, x offset
- const xOffset = (canvasSize - width) / 2;
- ctx.drawImage(img, xOffset, 0, canvas.width, canvas.height, 0, 0, canvas.width, canvas.height);
- } else {
- // vertical padding, y offset
- const yOffset = (canvasSize - height) / 2;
- ctx.drawImage(img, 0, yOffset, canvas.width, canvas.height, 0, 0, canvas.width, canvas.height);
- }
- return canvas;
- }
- return undefined;
- };
-
- // converts an image to a canvas data url
- static convertImgToCanvasUrl = async (imageSrc: string, width: number, height: number): Promise<string> =>
- new Promise<string>((resolve, reject) => {
- const img = new Image();
- img.onload = () => {
- const canvas = this.getCroppedImg(img, width, height);
- if (canvas) {
- const dataUrl = canvas.toDataURL();
- resolve(dataUrl);
- }
- };
- img.onerror = error => {
- reject(error);
- };
- img.src = imageSrc;
- });
-
- // calls the openai api to get image edits
- static getEdit = async (imgBlob: Blob, maskBlob: Blob, prompt: string, n?: number): Promise<APISuccess | APIError> => {
- const apiUrl = 'https://api.openai.com/v1/images/edits';
- const fd = new FormData();
- fd.append('image', imgBlob, 'image.png');
- fd.append('mask', maskBlob, 'mask.png');
- fd.append('prompt', prompt);
- fd.append('size', '1024x1024');
- fd.append('n', n ? JSON.stringify(n) : '1');
- fd.append('response_format', 'b64_json');
-
- try {
- const res = await fetch(apiUrl, {
- method: 'POST',
- headers: {
- Authorization: `Bearer ${process.env.OPENAI_KEY}`,
- },
- body: fd,
- });
- const data = await res.json();
- console.log(data.data);
- return {
- status: 'success',
- urls: (data.data as { b64_json: string }[]).map(urlData => `data:image/png;base64,${urlData.b64_json}`),
- };
- } catch (err) {
- console.log(err);
- return { status: 'error', message: 'API error.' };
- }
- };
-
- // mock api call
- static mockGetEdit = async (mockSrc: string): Promise<APISuccess | APIError> => ({
- status: 'success',
- urls: [mockSrc, mockSrc, mockSrc],
- });
-
- // Gets the canvas rendering context of a canvas
- static getCanvasContext = (canvasRef: RefObject<HTMLCanvasElement>): CanvasRenderingContext2D | null => {
- if (!canvasRef.current) return null;
- const ctx = canvasRef.current.getContext('2d');
- if (!ctx) return null;
- return ctx;
- };
-
- // Helper for downloading the canvas (for debugging)
- static downloadCanvas = (canvas: HTMLCanvasElement) => {
- const url = canvas.toDataURL();
- const downloadLink = document.createElement('a');
- downloadLink.href = url;
- downloadLink.download = 'canvas';
-
- downloadLink.click();
- downloadLink.remove();
- };
-
- // Download the canvas (for debugging)
- static downloadImageCanvas = (imgUrl: string) => {
- const img = new Image();
- img.src = imgUrl;
- img.onload = () => {
- const canvas = document.createElement('canvas');
- canvas.width = canvasSize;
- canvas.height = canvasSize;
- const ctx = canvas.getContext('2d');
- ctx?.drawImage(img, 0, 0, canvasSize, canvasSize);
-
- this.downloadCanvas(canvas);
- };
- };
-
- // Clears the canvas
- static clearCanvas = (canvasRef: React.RefObject<HTMLCanvasElement>) => {
- const ctx = this.getCanvasContext(canvasRef);
- if (!ctx || !canvasRef.current) return;
- ctx.clearRect(0, 0, canvasRef.current.width, canvasRef.current.height);
- };
-
- // Draws the image to the current canvas
- static drawImgToCanvas = (img: HTMLImageElement, canvasRef: React.RefObject<HTMLCanvasElement>, width: number, height: number) => {
- const drawImg = (htmlImg: HTMLImageElement) => {
- const ctx = this.getCanvasContext(canvasRef);
- if (!ctx) return;
- ctx.globalCompositeOperation = 'source-over';
- ctx.clearRect(0, 0, width, height);
- ctx.drawImage(htmlImg, 0, 0, width, height);
- };
-
- if (img.complete) {
- drawImg(img);
- } else {
- img.onload = () => {
- drawImg(img);
- };
- }
- };
-
- // Gets the image mask for the openai endpoint
- static getCanvasMask = (srcCanvas: HTMLCanvasElement, paddedCanvas: HTMLCanvasElement): HTMLCanvasElement | undefined => {
- const canvas = document.createElement('canvas');
- canvas.width = canvasSize;
- canvas.height = canvasSize;
- const ctx = canvas.getContext('2d');
- if (!ctx) return undefined;
- ctx?.clearRect(0, 0, canvasSize, canvasSize);
- ctx.drawImage(paddedCanvas, 0, 0);
-
- // extract and set padding data
- if (srcCanvas.height > srcCanvas.width) {
- // horizontal padding, x offset
- const xOffset = (canvasSize - srcCanvas.width) / 2;
- ctx?.clearRect(xOffset, 0, srcCanvas.width, srcCanvas.height);
- ctx.drawImage(srcCanvas, xOffset, 0, srcCanvas.width, srcCanvas.height);
- } else {
- // vertical padding, y offset
- const yOffset = (canvasSize - srcCanvas.height) / 2;
- ctx?.clearRect(0, yOffset, srcCanvas.width, srcCanvas.height);
- ctx.drawImage(srcCanvas, 0, yOffset, srcCanvas.width, srcCanvas.height);
- }
- return canvas;
- };
-
- // Fills in the blank areas of the image with an image reflection (to fill in a square-shaped canvas)
- static drawHorizontalReflection = (ctx: CanvasRenderingContext2D, canvas: HTMLCanvasElement, xOffset: number) => {
- const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
- const { data } = imageData;
- for (let i = 0; i < canvas.height; i++) {
- for (let j = 0; j < xOffset; j++) {
- const targetIdx = 4 * (i * canvas.width + j);
- const sourceI = i;
- const sourceJ = xOffset + (xOffset - j);
- const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
- data[targetIdx] = data[sourceIdx];
- data[targetIdx + 1] = data[sourceIdx + 1];
- data[targetIdx + 2] = data[sourceIdx + 2];
- }
- }
- for (let i = 0; i < canvas.height; i++) {
- for (let j = canvas.width - 1; j >= canvas.width - 1 - xOffset; j--) {
- const targetIdx = 4 * (i * canvas.width + j);
- const sourceI = i;
- const sourceJ = canvas.width - 1 - xOffset - (xOffset - (canvas.width - j));
- const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
- data[targetIdx] = data[sourceIdx];
- data[targetIdx + 1] = data[sourceIdx + 1];
- data[targetIdx + 2] = data[sourceIdx + 2];
- }
- }
- ctx.putImageData(imageData, 0, 0);
- };
-
- // Fills in the blank areas of the image with an image reflection (to fill in a square-shaped canvas)
- static drawVerticalReflection = (ctx: CanvasRenderingContext2D, canvas: HTMLCanvasElement, yOffset: number) => {
- const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
- const { data } = imageData;
- for (let j = 0; j < canvas.width; j++) {
- for (let i = 0; i < yOffset; i++) {
- const targetIdx = 4 * (i * canvas.width + j);
- const sourceJ = j;
- const sourceI = yOffset + (yOffset - i);
- const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
- data[targetIdx] = data[sourceIdx];
- data[targetIdx + 1] = data[sourceIdx + 1];
- data[targetIdx + 2] = data[sourceIdx + 2];
- }
- }
- for (let j = 0; j < canvas.width; j++) {
- for (let i = canvas.height - 1; i >= canvas.height - 1 - yOffset; i--) {
- const targetIdx = 4 * (i * canvas.width + j);
- const sourceJ = j;
- const sourceI = canvas.height - 1 - yOffset - (yOffset - (canvas.height - i));
- const sourceIdx = 4 * (sourceI * canvas.width + sourceJ);
- data[targetIdx] = data[sourceIdx];
- data[targetIdx + 1] = data[sourceIdx + 1];
- data[targetIdx + 2] = data[sourceIdx + 2];
- }
- }
- ctx.putImageData(imageData, 0, 0);
- };
-
- // Gets the unaltered (besides filling in padding) version of the image for the api call
- static getCanvasImg = (img: HTMLImageElement): HTMLCanvasElement | undefined => {
- const canvas = document.createElement('canvas');
- canvas.width = canvasSize;
- canvas.height = canvasSize;
- const ctx = canvas.getContext('2d');
- if (!ctx) return undefined;
- // fix scaling
- const scale = Math.min(canvasSize / img.width, canvasSize / img.height);
- const width = Math.floor(img.width * scale);
- const height = Math.floor(img.height * scale);
- ctx?.clearRect(0, 0, canvasSize, canvasSize);
- ctx.fillStyle = bgColor;
- ctx.fillRect(0, 0, canvasSize, canvasSize);
-
- // extract and set padding data
- if (img.naturalHeight > img.naturalWidth) {
- // horizontal padding, x offset
- const xOffset = Math.floor((canvasSize - width) / 2);
- ctx.drawImage(img, xOffset, 0, width, height);
-
- // draw reflected image padding
- this.drawHorizontalReflection(ctx, canvas, xOffset);
- } else {
- // vertical padding, y offset
- const yOffset = Math.floor((canvasSize - height) / 2);
- ctx.drawImage(img, 0, yOffset, width, height);
-
- // draw reflected image padding
- this.drawVerticalReflection(ctx, canvas, yOffset);
- }
- return canvas;
- };
-
- /**
- * Converts a url to base64 (tainted canvas workaround)
- */
- static urlToBase64 = async (imageUrl: string): Promise<string | undefined> => {
- try {
- const res = await fetch(imageUrl);
- const blob = await res.blob();
-
- return new Promise<string>((resolve, reject) => {
- const reader = new FileReader();
- reader.onload = () => {
- const base64Data = reader.result?.toString().split(',')[1];
- if (base64Data) {
- resolve(base64Data);
- } else {
- reject(new Error('Failed to convert.'));
- }
- };
- reader.onerror = () => {
- reject(new Error('Error reading image data'));
- };
- reader.readAsDataURL(blob);
- });
- } catch (err) {
- console.error(err);
- }
- return undefined;
- };
-}
diff --git a/src/client/views/smartdraw/DrawingFillHandler.tsx b/src/client/views/smartdraw/DrawingFillHandler.tsx
index 1a470f995..7a95e27c2 100644
--- a/src/client/views/smartdraw/DrawingFillHandler.tsx
+++ b/src/client/views/smartdraw/DrawingFillHandler.tsx
@@ -1,5 +1,6 @@
import { imageUrlToBase64 } from '../../../ClientUtils';
import { Doc } from '../../../fields/Doc';
+import { DocData } from '../../../fields/DocSymbols';
import { ImageCast } from '../../../fields/Types';
import { Upload } from '../../../server/SharedMediaTypes';
import { gptDescribeImage } from '../../apis/gpt/GPT';
@@ -7,19 +8,32 @@ import { Docs } from '../../documents/Documents';
import { Networking } from '../../Network';
import { DocumentView, DocumentViewInternal } from '../nodes/DocumentView';
import { OpenWhere } from '../nodes/OpenWhere';
+import { AspectRatioLimits, FireflyDimensionsMap, FireflyImageDimensions } from './FireflyConstants';
export class DrawingFillHandler {
static drawingToImage = (drawing: Doc, strength: number, prompt: string) =>
DocumentView.GetDocImage(drawing)?.then(imageField => {
if (imageField) {
+ const aspectRatio = (drawing.width as number) / (drawing.height as number);
+ let dims: { width: number; height: number };
+ if (aspectRatio > AspectRatioLimits[FireflyImageDimensions.Widescreen]) {
+ dims = FireflyDimensionsMap[FireflyImageDimensions.Widescreen];
+ } else if (aspectRatio > AspectRatioLimits[FireflyImageDimensions.Landscape]) {
+ dims = FireflyDimensionsMap[FireflyImageDimensions.Landscape];
+ } else if (aspectRatio < AspectRatioLimits[FireflyImageDimensions.Portrait]) {
+ dims = FireflyDimensionsMap[FireflyImageDimensions.Portrait];
+ } else {
+ dims = FireflyDimensionsMap[FireflyImageDimensions.Square];
+ }
const { href } = ImageCast(imageField).url;
const hrefParts = href.split('.');
const structureUrl = `${hrefParts.slice(0, -1).join('.')}_o.${hrefParts.lastElement()}`;
imageUrlToBase64(structureUrl)
.then((hrefBase64: string) => gptDescribeImage(hrefBase64))
.then((prompt: string) => {
- Networking.PostToServer('/queryFireflyImageFromStructure', { prompt, structureUrl, strength }).then((info: Upload.ImageInformation) =>
- DocumentViewInternal.addDocTabFunc(Docs.Create.ImageDocument(info.accessPaths.agnostic.client, {}), OpenWhere.addRight)) // prettier-ignore
+ Networking.PostToServer('/queryFireflyImageFromStructure', { prompt: prompt, width: dims.width, height: dims.height, structureUrl, strength }).then((info: Upload.ImageInformation) =>
+ DocumentViewInternal.addDocTabFunc(Docs.Create.ImageDocument(info.accessPaths.agnostic.client, { ai_generated: true, nativeWidth: dims.width, nativeHeight: dims.height }), OpenWhere.addRight)
+ ); // prettier-ignore
});
}
return false;
diff --git a/src/client/views/smartdraw/FireflyConstants.ts b/src/client/views/smartdraw/FireflyConstants.ts
new file mode 100644
index 000000000..f51305fba
--- /dev/null
+++ b/src/client/views/smartdraw/FireflyConstants.ts
@@ -0,0 +1,20 @@
+export enum FireflyImageDimensions {
+ Square = 'square',
+ Landscape = 'landscape',
+ Portrait = 'portrait',
+ Widescreen = 'widescreen',
+}
+
+export const FireflyDimensionsMap = {
+ square: { width: 2048, height: 2048 },
+ landscape: { width: 2304, height: 1792 },
+ portrait: { width: 1792, height: 2304 },
+ widescreen: { width: 2688, height: 1536 },
+};
+
+export const AspectRatioLimits = {
+ square: 1,
+ landscape: 1.167,
+ portrait: 0.875,
+ widescreen: 1.472,
+};
diff --git a/src/client/views/smartdraw/SmartDrawHandler.scss b/src/client/views/smartdraw/SmartDrawHandler.scss
index 4b21c92a5..cca7d77c7 100644
--- a/src/client/views/smartdraw/SmartDrawHandler.scss
+++ b/src/client/views/smartdraw/SmartDrawHandler.scss
@@ -1,6 +1,5 @@
.smart-draw-handler {
position: absolute;
- width: 265px;
.smart-draw-main {
display: flex;
@@ -16,9 +15,11 @@
display: flex;
flex-direction: row;
justify-content: center;
+ margin-top: 3px;
}
.smartdraw-options-container {
+ width: 265px;
padding: 5px;
font-weight: bolder;
text-align: center;
diff --git a/src/client/views/smartdraw/SmartDrawHandler.tsx b/src/client/views/smartdraw/SmartDrawHandler.tsx
index 8cff2174f..6c9470480 100644
--- a/src/client/views/smartdraw/SmartDrawHandler.tsx
+++ b/src/client/views/smartdraw/SmartDrawHandler.tsx
@@ -25,6 +25,7 @@ import { ActiveInkArrowEnd, ActiveInkArrowStart, ActiveInkDash, ActiveInkFillCol
import './SmartDrawHandler.scss';
import { Networking } from '../../Network';
import { OpenWhere } from '../nodes/OpenWhere';
+import { FireflyDimensionsMap, FireflyImageDimensions } from './FireflyConstants';
export interface DrawingOptions {
text: string;
@@ -35,13 +36,6 @@ export interface DrawingOptions {
y: number;
}
-enum FireflyImageDimensions {
- Square = 'square',
- Landscape = 'landscape',
- Portrait = 'portrait',
- Widescreen = 'widescreen',
-}
-
/**
* The SmartDrawHandler allows users to generate drawings with GPT from text input. Users are able to enter
* the item to draw, how complex they want the drawing to be, how large the drawing should be, and whether
@@ -274,30 +268,12 @@ export class SmartDrawHandler extends ObservableReactComponent<object> {
*/
createImageWithFirefly = (input: string, seed?: number) => {
this._lastInput.text = input;
- let width = 0;
- let height = 0;
- switch (this._imgDims) {
- case FireflyImageDimensions.Square:
- width = 2048;
- height = 2048;
- break;
- case FireflyImageDimensions.Landscape:
- width = 2304;
- height = 1792;
- case FireflyImageDimensions.Portrait:
- width = 1792;
- height = 2304;
- break;
- case FireflyImageDimensions.Widescreen:
- width = 2688;
- height = 1536;
- break;
- }
- return Networking.PostToServer('/queryFireflyImage', { prompt: input, width: width, height: height, seed: seed }).then(img => {
+ const dims = FireflyDimensionsMap[this._imgDims];
+ return Networking.PostToServer('/queryFireflyImage', { prompt: input, width: dims.width, height: dims.height, seed: seed }).then(img => {
const imgDoc: Doc = Docs.Create.ImageDocument(img.accessPaths.agnostic.client, {
title: input.match(/^(.*?)~~~.*$/)?.[1] || input,
- nativeWidth: width,
- nativeHeight: height,
+ nativeWidth: dims.width,
+ nativeHeight: dims.height,
ai_generated: true,
firefly_seed: img.accessPaths.agnostic.client.match(/\/(\d+)upload/)[1],
firefly_prompt: input,
diff --git a/src/server/ApiManagers/FireflyManager.ts b/src/server/ApiManagers/FireflyManager.ts
index a41492745..4c4aac5e0 100644
--- a/src/server/ApiManagers/FireflyManager.ts
+++ b/src/server/ApiManagers/FireflyManager.ts
@@ -20,7 +20,7 @@ export default class FireflyManager extends ApiManager {
return undefined;
});
- generateImageFromStructure = (prompt: string = 'a realistic illustration of a cat coding', structureUrl: string, strength: number) =>
+ generateImageFromStructure = (prompt: string = 'a realistic illustration of a cat coding', width: number = 2048, height: number = 2048, structureUrl: string, strength: number = 50) =>
this.getBearerToken().then(response =>
response?.json().then((data: { access_token: string }) =>
fetch('https://firefly-api.adobe.io/v3/images/generate', {
@@ -32,7 +32,8 @@ export default class FireflyManager extends ApiManager {
['Authorization', `Bearer ${data.access_token}`],
],
body: JSON.stringify({
- prompt,
+ prompt: prompt,
+ size: { width: width, height: height },
structure: !structureUrl
? undefined
: {
@@ -226,7 +227,7 @@ export default class FireflyManager extends ApiManager {
subscription: '/queryFireflyImageFromStructure',
secureHandler: async ({ req, res }) =>
this.uploadImageToDropbox(req.body.structureUrl).then(uploadUrl =>
- this.generateImageFromStructure(req.body.prompt, uploadUrl, req.body.strength).then(fire =>
+ this.generateImageFromStructure(req.body.prompt, req.body.width, req.body.height, uploadUrl, req.body.strength).then(fire =>
DashUploadUtils.UploadImage(JSON.parse(fire ?? '').url).then(info => {
if (info instanceof Error) _invalid(res, info.message);
else _success(res, info);
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2025-10-06 10:31:53 +0000