From 6900008b1bb89cca1eab7b95f17ee33fa335282f Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Mon, 28 Apr 2025 20:18:26 -0400 Subject: adding autotagging --- src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx index ff9fb14e7..28d3ccd48 100644 --- a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx +++ b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx @@ -158,7 +158,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { this._currentLabel = e.target.value; }); - classifyImagesInBox = async () => { + classifyImagesInBox = async (prompt? : string) => { this.startLoading(); // Converts the images into a Base64 format, afterwhich the information is sent to GPT to label them. @@ -168,7 +168,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { const url = ImageCastWithSuffix(doc[Doc.LayoutDataKey(doc)], '_o') ?? ''; return imageUrlToBase64(url).then(hrefBase64 => !hrefBase64 ? undefined : - gptImageLabel(hrefBase64,'Give three labels to describe this image.').then(labels => + gptImageLabel(hrefBase64, prompt ?? 'Give three labels to describe this image.').then(labels => ({ doc, labels }))) ; // prettier-ignore } }); -- cgit v1.2.3-70-g09d2 From 2a36216359054532084be24ab9034cd08c1c8798 Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Mon, 28 Apr 2025 21:13:31 -0400 Subject: working on autotagging --- src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx | 6 ++++-- src/client/views/nodes/ImageBox.tsx | 6 +++++- 2 files changed, 9 insertions(+), 3 deletions(-) (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx index 28d3ccd48..bf674c025 100644 --- a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx +++ b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx @@ -158,12 +158,14 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { this._currentLabel = e.target.value; }); - classifyImagesInBox = async (prompt? : string) => { + classifyImagesInBox = async (selectedImages? : Doc[], prompt? : string) => { this.startLoading(); + selectedImages ??= this._selectedImages; + // Converts the images into a Base64 format, afterwhich the information is sent to GPT to label them. - const imageInfos = this._selectedImages.map(async doc => { + const imageInfos = selectedImages.map(async doc => { if (!doc.$tags_chat) { const url = ImageCastWithSuffix(doc[Doc.LayoutDataKey(doc)], '_o') ?? ''; return imageUrlToBase64(url).then(hrefBase64 => diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 87168d17d..6e6ca3f73 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -46,6 +46,7 @@ import { FieldView, FieldViewProps } from './FieldView'; import { FocusViewOptions } from './FocusViewOptions'; import './ImageBox.scss'; import { OpenWhere } from './OpenWhere'; +import { ImageLabelBox } from '../collections/collectionFreeForm/ImageLabelBox'; const DefaultPath = '/assets/unknown-file-icon-hi.png'; export class ImageEditorData { @@ -120,7 +121,10 @@ export class ImageBox extends ViewBoxAnnotatableComponent() { ele && (this._dropDisposer = DragManager.MakeDropTarget(ele, this.drop.bind(this), this.Document)); }; - autoTag = () => { + autoTag = async () => { + ImageLabelBox.Instance.classifyImagesInBox([this.Document], "Classify this image as a PERSON or LANDSCAPE. You may only respond with one of these two options"); + + //Doc.getDescription(this.Document).then(desc => this.desc = desc) } -- cgit v1.2.3-70-g09d2 From 609ec6d37b5abf94f3ab84784544ebe47804cdf5 Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Tue, 29 Apr 2025 23:01:11 -0400 Subject: Autotag --- src/client/apis/gpt/GPT.ts | 35 +++++++++++---- .../collectionFreeForm/ImageLabelBox.tsx | 2 +- src/client/views/nodes/ImageBox.tsx | 48 ++++++++++++++++++--- .../views/nodes/formattedText/FormattedTextBox.tsx | 18 ++++++++ src/client/views/nodes/scrapbook/ScrapbookBox.tsx | 50 ++++++++++++++++++++-- src/client/views/search/FaceRecognitionHandler.tsx | 4 +- 6 files changed, 137 insertions(+), 20 deletions(-) (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/apis/gpt/GPT.ts b/src/client/apis/gpt/GPT.ts index 9cb47995c..1956fef0c 100644 --- a/src/client/apis/gpt/GPT.ts +++ b/src/client/apis/gpt/GPT.ts @@ -11,6 +11,10 @@ export enum GPTDocCommand { export const DescriptionSeperator = '======'; export const DocSeperator = '------'; +export enum TextClassifications { + Title = 'title', //a few words + Caption = 'caption', //few sentences + LengthyDescription = 'lengthy description' } enum GPTCallType { SUMMARY = 'summary', @@ -36,6 +40,7 @@ enum GPTCallType { SUBSETDOCS = 'subset_docs', // select a subset of documents based on their descriptions DOCINFO = 'doc_info', // provide information about a document SORTDOCS = 'sort_docs', + CLASSIFYTEXT = 'classify_text', // classify text into one of the three categories: title, caption, lengthy description } type GPTCallOpts = { @@ -48,6 +53,23 @@ type GPTCallOpts = { const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { // newest model: gpt-4 summary: { model: 'gpt-4-turbo', maxTokens: 256, temp: 0.5, prompt: 'Summarize the text given in simpler terms.' }, + + + sort_docs: { + model: 'gpt-4o', + maxTokens: 2048, + temp: 0.25, + prompt: + `The user is going to give you a list of descriptions. + Each one is separated by '${DescriptionSeperator}' on either side. + Descriptions will vary in length, so make sure to only separate when you see '${DescriptionSeperator}'. + Sort them by the user's specifications. + Make sure each description is only in the list once. Each item should be separated by '${DescriptionSeperator}'. + Immediately afterward, surrounded by '${DocSeperator}' on BOTH SIDES, provide some insight into your reasoning for the way you sorted (and mention nothing about the formatting details given in this description). + It is VERY important that you format it exactly as described, ensuring the proper number of '${DescriptionSeperator[0]}' and '${DocSeperator[0]}' (${DescriptionSeperator.length} of each) and NO commas`, + }, + + edit: { model: 'gpt-4-turbo', maxTokens: 256, temp: 0.5, prompt: 'Reword the text.' }, stack: { model: 'gpt-4o', @@ -69,17 +91,14 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { temp: 0.5, prompt: "You are a helpful resarch assistant. Analyze the user's data to find meaningful patterns and/or correlation. Please only return a JSON with a correlation column 1 propert, a correlation column 2 property, and an analysis property. ", }, - sort_docs: { + //new + classify_text: { model: 'gpt-4o', maxTokens: 2048, temp: 0.25, - prompt: `The user is going to give you a list of descriptions. - Each one is separated by '${DescriptionSeperator}' on either side. - Descriptions will vary in length, so make sure to only separate when you see '${DescriptionSeperator}'. - Sort them by the user's specifications. - Make sure each description is only in the list once. Each item should be separated by '${DescriptionSeperator}'. - Immediately afterward, surrounded by '${DocSeperator}' on BOTH SIDES, provide some insight into your reasoning for the way you sorted (and mention nothing about the formatting details given in this description). - It is VERY important that you format it exactly as described, ensuring the proper number of '${DescriptionSeperator[0]}' and '${DocSeperator[0]}' (${DescriptionSeperator.length} of each) and NO commas`, + prompt: `Based on the content of the the text, classify it into the + most appropriate category: '${TextClassifications.Title}', '${TextClassifications.Caption}', or '${TextClassifications.LengthyDescription}'. Output exclusively the classification in your response. + ` }, describe: { model: 'gpt-4-vision-preview', maxTokens: 2048, temp: 0, prompt: 'Describe these images in 3-5 words' }, flashcard: { diff --git a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx index bf674c025..038b1c6f9 100644 --- a/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx +++ b/src/client/views/collections/collectionFreeForm/ImageLabelBox.tsx @@ -160,7 +160,7 @@ export class ImageLabelBox extends ViewBoxBaseComponent() { classifyImagesInBox = async (selectedImages? : Doc[], prompt? : string) => { this.startLoading(); - + alert('Classifying images...'); selectedImages ??= this._selectedImages; // Converts the images into a Base64 format, afterwhich the information is sent to GPT to label them. diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 6e6ca3f73..0b6814c01 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -7,8 +7,9 @@ import { observer } from 'mobx-react'; import { extname } from 'path'; import * as React from 'react'; import { AiOutlineSend } from 'react-icons/ai'; +import { ImageLabelBoxData } from '../collections/collectionFreeForm/ImageLabelBox'; import ReactLoading from 'react-loading'; -import { ClientUtils, DashColor, returnEmptyString, returnFalse, returnOne, returnZero, setupMoveUpEvents, UpdateIcon } from '../../../ClientUtils'; +import { ClientUtils, imageUrlToBase64, DashColor, returnEmptyString, returnFalse, returnOne, returnZero, setupMoveUpEvents, UpdateIcon } from '../../../ClientUtils'; import { Doc, DocListCast, Opt } from '../../../fields/Doc'; import { DocData } from '../../../fields/DocSymbols'; import { Id } from '../../../fields/FieldSymbols'; @@ -16,7 +17,7 @@ import { InkTool } from '../../../fields/InkField'; import { List } from '../../../fields/List'; import { ObjectField } from '../../../fields/ObjectField'; import { ComputedField } from '../../../fields/ScriptField'; -import { Cast, DocCast, ImageCast, NumCast, RTFCast, StrCast } from '../../../fields/Types'; +import { Cast, DocCast, ImageCast, NumCast, RTFCast, StrCast, ImageCastWithSuffix } from '../../../fields/Types'; import { ImageField } from '../../../fields/URLField'; import { TraceMobx } from '../../../fields/util'; import { emptyFunction } from '../../../Utils'; @@ -46,6 +47,7 @@ import { FieldView, FieldViewProps } from './FieldView'; import { FocusViewOptions } from './FocusViewOptions'; import './ImageBox.scss'; import { OpenWhere } from './OpenWhere'; +import { gptImageLabel } from '../../apis/gpt/GPT'; import { ImageLabelBox } from '../collections/collectionFreeForm/ImageLabelBox'; const DefaultPath = '/assets/unknown-file-icon-hi.png'; @@ -122,11 +124,47 @@ export class ImageBox extends ViewBoxAnnotatableComponent() { }; autoTag = async () => { - ImageLabelBox.Instance.classifyImagesInBox([this.Document], "Classify this image as a PERSON or LANDSCAPE. You may only respond with one of these two options"); - - //Doc.getDescription(this.Document).then(desc => this.desc = desc) + try { + // 1) grab the full-size URL + const layoutKey = Doc.LayoutDataKey(this.Document); + const url = ImageCastWithSuffix(this.Document[layoutKey], '_o') ?? ''; + if (!url) throw new Error('No image URL found'); + + // 2) convert to base64 + const base64 = await imageUrlToBase64(url); + if (!base64) throw new Error('Failed to load image data'); + + // 3) ask GPT for exactly one label: PERSON or LANDSCAPE + const raw = await gptImageLabel( + base64, + 'Classify this image as PERSON or LANDSCAPE. You may only respond with one of these two options.' + ); + + // 4) normalize and prefix + const label = raw + .trim() + .toUpperCase() + + // 5) stash it on the Doc + // overwrite any old tags so re-runs still work + this.Document.$tags_chat = new List(); + (this.Document.$tags_chat as List).push(label); + + // 6) flip on “show tags” in the layout + // (same flag that ImageLabelBox.toggleDisplayInformation uses) + //note to self: What if i used my own field (ex: Document.$auto_description or something + //Would i still have to toggle it on for it to show in the metadata? + this.Document._layout_showTags = true; + + } catch (err) { + console.error('autoTag failed:', err); + } finally { } + }; + + //Doc.getDescription(this.Document).then(desc => this.desc = desc) + diff --git a/src/client/views/nodes/formattedText/FormattedTextBox.tsx b/src/client/views/nodes/formattedText/FormattedTextBox.tsx index 98e461a52..f4cbbcc9e 100644 --- a/src/client/views/nodes/formattedText/FormattedTextBox.tsx +++ b/src/client/views/nodes/formattedText/FormattedTextBox.tsx @@ -64,6 +64,7 @@ import { removeMarkWithAttrs } from './prosemirrorPatches'; import { RichTextMenu, RichTextMenuPlugin } from './RichTextMenu'; import { RichTextRules } from './RichTextRules'; import { schema } from './schema_rts'; +import { tickStep } from 'd3'; // import * as applyDevTools from 'prosemirror-dev-tools'; export interface FormattedTextBoxProps extends FieldViewProps { @@ -304,6 +305,14 @@ export class FormattedTextBox extends ViewBoxAnnotatableComponent { + this.Document.$tags_chat = new List(); + gptAPICall(RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]), + GPTCallType.CLASSIFYTEXT).then(desc => (this.Document.$tags_chat as List).push(desc)); + this.Document._layout_showTags = true; + //or... then(desc => this.Document.$tags_chat = desc); + } + leafText = (node: Node) => { if (node.type === this.EditorView?.state.schema.nodes.dashField) { const refDoc = !node.attrs.docId ? this.rootDoc : (DocServer.GetCachedRefField(node.attrs.docId as string) as Doc); @@ -1236,6 +1245,7 @@ export class FormattedTextBox extends ViewBoxAnnotatableComponent Doc.IsSearchMatch(this.Document), @@ -1269,6 +1279,14 @@ export class FormattedTextBox extends ViewBoxAnnotatableComponent ({ title: this.Document.title, sel: this.props.isSelected() }), + action(() => { + this.autoTag(); + }), + { fireImmediately: true } + ); + if (!this._props.dontRegisterView) { this._disposers.record = reaction( () => this.recordingDictation, diff --git a/src/client/views/nodes/scrapbook/ScrapbookBox.tsx b/src/client/views/nodes/scrapbook/ScrapbookBox.tsx index 55d0df585..39729a1c5 100644 --- a/src/client/views/nodes/scrapbook/ScrapbookBox.tsx +++ b/src/client/views/nodes/scrapbook/ScrapbookBox.tsx @@ -1,6 +1,6 @@ import { action, makeObservable, observable } from 'mobx'; import * as React from 'react'; -import { Doc, DocListCast } from '../../../../fields/Doc'; +import { Doc, DocListCast, StrListCast } from '../../../../fields/Doc'; import { List } from '../../../../fields/List'; import { emptyFunction } from '../../../../Utils'; import { Docs } from '../../../documents/Documents'; @@ -100,20 +100,62 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() }; filterAddDocument = (docIn: Doc | Doc[]) => { - const docs = toList(docIn); + const docs = toList(docIn); //The docs being added to the scrapbook + + // 1) Grab all template slots: + const slots = DocListCast(this.dataDoc[this.fieldKey]); + + // 2) recursive unwrap: + const unwrap = (items: Doc[]): Doc[] => + items.flatMap(d => + d.$type === DocumentType.COL + ? unwrap(DocListCast(d[Doc.LayoutDataKey(d)])) + : [d] + ); + + // 3) produce a flat list of every doc, unwrapping any number of nested COLs + const allDocs: Doc[] = unwrap(slots); + + if (docs?.length === 1) { - const placeholder = DocListCast(this.dataDoc[this.fieldKey]).find(d => + const placeholder = allDocs.filter(d => + (d.accepts_docType === docs[0].$type || // match fields based on type, or by analyzing content .. simple example of matching text in placeholder to dropped doc's type RTFCast(d[Doc.LayoutDataKey(d)])?.Text.includes(StrCast(docs[0].$type))) ); // prettier-ignore + //DocListCast(this.Document.items).map(doc => DocListCast(doc[Doc.LayoutDataKey(doc)]) + if (placeholder) { + /**Look at the autotags and see what matches*RTFCast(d[Doc.LayoutDataKey(d)])?.Text*/ // ugh. we have to tell the underlying view not to add the Doc so that we can add it where we want it. // However, returning 'false' triggers an undo. so this settimeout is needed to make the assignment happen after the undo. setTimeout( undoable(() => { + + const slotTagsList: Set[] = placeholder.map(doc => + new Set(StrListCast(doc.$tags_chat)) + ); + // turn docs[0].$tags_chat into a Set + const targetTags = new Set(StrListCast(docs[0].$tags_chat)); + //StrListCast(placeholder.overrideFields).map(field => (docs[0][field] = placeholder[field])); // // shouldn't need to do this for layout fields since the placeholder already overrides its protos - placeholder.proto = docs[0]; + + // find the first placeholder that shares *any* tag + const match = placeholder.find(ph => + StrListCast(ph.$tags_chat).some(tag => targetTags.has(tag)) + ); + if (match) { + match.proto = docs[0]; + } + + /*const chosenPlaceholder = placeholder.find(d => + pl = new Set(StrListCast(d.$tags_chat) + + d.$tags_chat && d.$tags_chat[0].equals(docs[0].$tags_chat)); //why [0] + if (chosenPlaceholder){ + chosenPlaceholder.proto = docs[0];}*/ + //excess if statement?? }, 'Scrapbook add') ); return false; diff --git a/src/client/views/search/FaceRecognitionHandler.tsx b/src/client/views/search/FaceRecognitionHandler.tsx index 60744588f..256e68afd 100644 --- a/src/client/views/search/FaceRecognitionHandler.tsx +++ b/src/client/views/search/FaceRecognitionHandler.tsx @@ -210,8 +210,8 @@ export class FaceRecognitionHandler { } else if (imgDoc.type === DocumentType.LOADING && !imgDoc.loadingError) { setTimeout(() => this.classifyFacesInImage(imgDocView), 1000); } else { - reaction(() => ({sel:imgDocView.isSelected()}), ({sel}) => !sel && imgDoc.type == 'text' - && imgDocView.ComponentView?.autoTag?.(), {fireImmediately: true} + reaction(() => ({sel:imgDocView.isSelected()}), ({sel}) => !sel && + imgDocView.ComponentView?.autoTag?.(), {fireImmediately: true} ) const imgUrl = ImageCast(imgDoc[Doc.LayoutDataKey(imgDoc)]); if (imgUrl && !DocListCast(Doc.MyFaceCollection?.examinedFaceDocs).includes(imgDoc[DocData])) { -- cgit v1.2.3-70-g09d2 From fec7f7dd736af3296a2df52acd07f3eadb8123c3 Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Thu, 1 May 2025 00:44:14 -0400 Subject: marquee selection --- src/client/apis/gpt/GPT.ts | 9 + .../collectionFreeForm/MarqueeOptionsMenu.tsx | 2 + .../collections/collectionFreeForm/MarqueeView.tsx | 35 ++++ src/client/views/nodes/scrapbook/ScrapbookBox.tsx | 231 ++++++++++++++++++++- .../views/nodes/scrapbook/ScrapbookPreset.tsx | 146 +++++++++++++ .../nodes/scrapbook/ScrapbookSettingsPanel.tsx | 60 ++++++ 6 files changed, 482 insertions(+), 1 deletion(-) create mode 100644 src/client/views/nodes/scrapbook/ScrapbookPreset.tsx create mode 100644 src/client/views/nodes/scrapbook/ScrapbookSettingsPanel.tsx (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/apis/gpt/GPT.ts b/src/client/apis/gpt/GPT.ts index 1956fef0c..693b4f901 100644 --- a/src/client/apis/gpt/GPT.ts +++ b/src/client/apis/gpt/GPT.ts @@ -126,6 +126,7 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { temp: 0.5, prompt: 'You will be given a list of field descriptions for one or more templates in the format {field #0: “description”}{field #1: “description”}{...}, and a list of column descriptions in the format {“title”: “description”}{...}. Your job is to match columns with fields based on their descriptions. Your output should be in the following JSON format: {“template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}, “template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}} where “template_title” is the templates title as specified in the description provided, # represents the field # and “title” the title of the column assigned to it. A filled out example might look like {“fivefield2”:{“0”:”Name”, “1”:”Image”, “2”:”Caption”, “3”:”Position”, “4”:”Stats”}, “fivefield3”:{0:”Image”, 1:”Name”, 2:”Caption”, 3:”Stats”, 4:”Position”}. Include one object for each template. IT IS VERY IMPORTANT THAT YOU ONLY INCLUDE TEXT IN THE FORMAT ABOVE, WITH NO ADDITIONS WHATSOEVER. Do not include extraneous ‘#’ characters, ‘column’ for columns, or ‘template’ for templates: ONLY THE TITLES AND NUMBERS. There should never be one column assigned to more than one field (ie. if the “name” column is assigned to field 1, it can’t be assigned to any other fields) . Do this for each template whose fields are described. The descriptions are as follows:', }, + vizsum: { model: 'gpt-4-turbo', maxTokens: 512, @@ -157,6 +158,14 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { temp: 0.5, prompt: 'You will be coloring drawings. You will be given what the drawing is, then a list of descriptions for parts of the drawing. Based on each description, respond with the stroke and fill color that it should be. Follow the rules: 1. Avoid using black for stroke color 2. Make the stroke color 1-3 shades darker than the fill color 3. Use the same colors when possible. Format as {#abcdef #abcdef}, making sure theres a color for each description, and do not include any additional text.', }, + + scrapbook: { + model: 'gpt-4-turbo', + maxTokens: 512, + temp: 0.5, + prompt: 'You will be given a list of field descriptions for one or more templates in the format {field #0: “description”}{field #1: “description”}{...}, and a list of column descriptions in the format {“title”: “description”}{...}. Your job is to match columns with fields based on their descriptions. Your output should be in the following JSON format: {“template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}, “template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}} where “template_title” is the templates title as specified in the description provided, # represents the field # and “title” the title of the column assigned to it. A filled out example might look like {“fivefield2”:{“0”:”Name”, “1”:”Image”, “2”:”Caption”, “3”:”Position”, “4”:”Stats”}, “fivefield3”:{0:”Image”, 1:”Name”, 2:”Caption”, 3:”Stats”, 4:”Position”}. Include one object for each template. IT IS VERY IMPORTANT THAT YOU ONLY INCLUDE TEXT IN THE FORMAT ABOVE, WITH NO ADDITIONS WHATSOEVER. Do not include extraneous ‘#’ characters, ‘column’ for columns, or ‘template’ for templates: ONLY THE TITLES AND NUMBERS. There should never be one column assigned to more than one field (ie. if the “name” column is assigned to field 1, it can’t be assigned to any other fields) . Do this for each template whose fields are described. The descriptions are as follows:', + }, + command_type: { model: 'gpt-4-turbo', maxTokens: 1024, diff --git a/src/client/views/collections/collectionFreeForm/MarqueeOptionsMenu.tsx b/src/client/views/collections/collectionFreeForm/MarqueeOptionsMenu.tsx index abd828945..2ec59e5d5 100644 --- a/src/client/views/collections/collectionFreeForm/MarqueeOptionsMenu.tsx +++ b/src/client/views/collections/collectionFreeForm/MarqueeOptionsMenu.tsx @@ -16,6 +16,7 @@ export class MarqueeOptionsMenu extends AntimodeMenu { public createCollection: (e: KeyboardEvent | React.PointerEvent | undefined, group?: boolean, selection?: Doc[]) => Doc | void = unimplementedFunction; public delete: (e: KeyboardEvent | React.PointerEvent | undefined) => void = unimplementedFunction; public summarize: (e: KeyboardEvent | React.PointerEvent | undefined) => void = unimplementedFunction; + public generateScrapbook: (e: KeyboardEvent | React.PointerEvent | undefined) => void = unimplementedFunction; public showMarquee: () => void = unimplementedFunction; public hideMarquee: () => void = unimplementedFunction; public pinWithView: (e: KeyboardEvent | React.PointerEvent | undefined) => void = unimplementedFunction; @@ -38,6 +39,7 @@ export class MarqueeOptionsMenu extends AntimodeMenu { } color={this.userColor} /> this.createCollection(e, true)} icon={} color={this.userColor} /> } color={this.userColor} /> + } color={this.userColor} /> } color={this.userColor} /> } color={this.userColor} /> } color={this.userColor} /> diff --git a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx index 3cc7c0f2d..f5e699d3e 100644 --- a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx +++ b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx @@ -275,6 +275,7 @@ export class MarqueeView extends ObservableReactComponent { + let docs = new Array(); + const selected = this.marqueeSelect(false).map(d => { + this._props.removeDocument?.(d); + d.x = NumCast(d.x) - this.Bounds.left; + d.y = NumCast(d.y) - this.Bounds.top; + docs.push(d); + return d; + }); + const scrapbook = Docs.Create.ScrapbookDocument(docs, { + backgroundColor: '#e2ad32', + x: this.Bounds.left, + y: this.Bounds.top, + followLinkToggle: true, + _width: 200, + _height: 200, + _layout_showSidebar: true, + title: 'overview', + }); + const portal = Docs.Create.FreeformDocument(selected, { title: 'summarized documents', x: this.Bounds.left + 200, y: this.Bounds.top, isGroup: true, backgroundColor: 'transparent' }); + DocUtils.MakeLink(scrapbook, portal, { link_relationship: 'summary of:summarized by' }); + + portal.hidden = true; + this._props.addDocument?.(portal); + //this._props.addLiveTextDocument(summary); + this._props.addDocument?.(scrapbook); + MarqueeOptionsMenu.Instance.fadeOut(true); + }); + + @action marqueeCommand = (e: KeyboardEvent) => { const ee = e as unknown as KeyboardEvent & { propagationIsStopped?: boolean }; @@ -538,6 +572,7 @@ export class MarqueeView extends ObservableReactComponent() { @observable createdDate: string; + @observable configs : ScrapbookItemConfig[] constructor(props: FieldViewProps) { super(props); makeObservable(this); this.createdDate = this.getFormattedDate(); + this.configs = + ScrapbookPreset.createPreset(presetType); + // ensure we always have a List in dataDoc['items'] if (!this.dataDoc[this.fieldKey]) { this.dataDoc[this.fieldKey] = new List(); } this.createdDate = this.getFormattedDate(); + //this.initScrapbook(ScrapbookPresetType.Default); this.setTitle(); + //this.setLayout(ScrapbookPreset.Spotlight); } public static LayoutString(fieldStr: string) { @@ -41,6 +56,188 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() }); } + + @action + initScrapbook(presetType: ScrapbookPresetType) { + // 1) ensure title is set + const title = `Scrapbook - ${this.createdDate}`; + if (this.dataDoc.title !== title) { + this.dataDoc.title = title; + } + + // 2) build placeholders from the preset + const configs = ScrapbookPreset.createPreset(presetType); + const placeholders: Doc[] = []; + + for (const cfg of configs) { + if (cfg.children) { + // --- nested container --- + const childDocs = cfg.children.map(child => { + const doc = Docs.Create.TextDocument(child.tag); + doc.accepts_docType = child.type; + doc.accepts_tagType = child.acceptTag ?? child.tag; + + const ph = new Doc(); + ph.proto = doc; + ph.original = doc; + ph.x = child.x; + ph.y = child.y; + if (child.width != null) ph._width = child.width; + if (child.height != null) ph._height = child.height; + return ph; + }); + + const protoW = cfg.containerWidth ?? cfg.width; + const protoH = cfg.containerHeight ?? cfg.height; + const containerProto = Docs.Create.StackingDocument( + childDocs, + { + ...(protoW != null ? { _width: protoW } : {}), + ...(protoH != null ? { _height: protoH } : {}), + title: cfg.tag + } + ); + + const ph = new Doc(); + ph.proto = containerProto; + ph.original = containerProto; + ph.x = cfg.x; + ph.y = cfg.y; + if (cfg.width != null) ph._width = cfg.width; + if (cfg.height != null) ph._height = cfg.height; + placeholders.push(ph); + + } else { + // --- flat placeholder --- + const doc = Docs.Create.TextDocument(cfg.tag); + doc.accepts_docType = cfg.type; + doc.accepts_tagType = cfg.acceptTag ?? cfg.tag; + + const ph = new Doc(); + ph.proto = doc; + ph.original = doc; + ph.x = cfg.x; + ph.y = cfg.y; + if (cfg.width != null) ph._width = cfg.width; + if (cfg.height != null) ph._height = cfg.height; + placeholders.push(ph); + } + } + + // 3) commit them into the field + this.dataDoc[this.fieldKey] = new List(placeholders); + } + @action + //INACTIVE VER ignore!! not in use rn, implementation ver 1 + setLayout(preset: ScrapbookPreset) { + // helper to wrap a TextDocument proto in a Doc with positioning + function makePlaceholder( + proto: Doc, x: number, y: number, + width: number, height: number + ): Doc { + const d = new Doc(); + d.proto = proto; + d.original = proto; + d.x = x; + d.y = y; + d._width = width; + d._height = height; + return d; + } + + let placeholders: Doc[]; + + switch (preset) { + case ScrapbookPresetType.Classic: + // One large landscape image on top, caption below, sidebar at right + const imgClassic = Docs.Create.TextDocument('image'); + imgClassic.accepts_docType = DocumentType.IMG; + imgClassic.accepts_tagType = 'LANDSCAPE'; + const phImageClassic = makePlaceholder(imgClassic, 0, -120, 300, 180); + + const captionClassic = Docs.Create.TextDocument('caption'); + captionClassic.accepts_docType = DocumentType.RTF; + captionClassic.accepts_tagType = 'caption'; + const phCaptionClassic = makePlaceholder(captionClassic, 0, 80, 300, 60); + + const sidebarClassic = Docs.Create.TextDocument('sidebar'); + sidebarClassic.accepts_docType = DocumentType.RTF; + sidebarClassic.accepts_tagType = 'lengthy description'; + const phSidebarClassic = makePlaceholder(sidebarClassic, 320, -50, 80, 200); + + placeholders = [phImageClassic, phCaptionClassic, phSidebarClassic]; + break; + + case ScrapbookPresetType.Collage: + // Grid of four person images, small captions under each + const personDocs: Doc[] = []; + for (let i = 0; i < 4; i++) { + const img = Docs.Create.TextDocument(`person ${i+1}`); + img.accepts_docType = DocumentType.IMG; + img.accepts_tagType = 'PERSON'; + // position in 2x2 grid + const x = (i % 2) * 160 - 80; + const y = Math.floor(i / 2) * 160 - 80; + personDocs.push(makePlaceholder(img, x, y, 150, 120)); + + const cap = Docs.Create.TextDocument(`caption ${i+1}`); + cap.accepts_docType = DocumentType.RTF; + cap.accepts_tagType = 'caption'; + personDocs.push(makePlaceholder(cap, x, y + 70, 150, 30)); + } + placeholders = personDocs; + break; + + case ScrapbookPresetType.Spotlight: + // Full-width title, then a stacking of an internal person image + landscape, then description + const titleSpot = Docs.Create.TextDocument('title'); + titleSpot.accepts_docType = DocumentType.RTF; + titleSpot.accepts_tagType = 'title'; + const phTitleSpot = makePlaceholder(titleSpot, 0, -180, 400, 60); + + const internalImg = Docs.Create.TextDocument(''); + internalImg.accepts_docType = DocumentType.IMG; + internalImg.accepts_tagType = 'PERSON'; + const phInternal = makePlaceholder(internalImg, -100, -120, 120, 160); + + const landscapeImg = Docs.Create.TextDocument(''); + landscapeImg.accepts_docType = DocumentType.IMG; + landscapeImg.accepts_tagType = 'LANDSCAPE'; + const phLandscape = makePlaceholder(landscapeImg, 50, 0, 200, 160); + + const stack = Docs.Create.StackingDocument( + [phInternal, phLandscape], + { _width: 360, _height: 180, title: 'spotlight stack' } + ); + const phStack = (() => { + const d = new Doc(); + d.proto = stack; + d.original = stack; + d.x = 8; + d.y = -84; + d._width = 360; + d._height = 180; + return d; + })(); + + const descSpot = Docs.Create.TextDocument('description'); + descSpot.accepts_docType = DocumentType.RTF; + descSpot.accepts_tagType = 'lengthy description'; + const phDescSpot = makePlaceholder(descSpot, 0, 140, 400, 100); + + placeholders = [phTitleSpot, phStack, phDescSpot]; + break; + + default: + placeholders = []; + } + + // finally assign into the dataDoc + this.dataDoc[this.fieldKey] = new List(placeholders); + } + + + @action setTitle() { const title = `Scrapbook - ${this.createdDate}`; @@ -120,13 +317,14 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() difference between passing a new List versus just the raw array? */ - this.dataDoc[this.fieldKey] = new List([placeholder, placeholder2, placeholder3, placeholder4]); + this.dataDoc[this.fieldKey] = this.dataDoc[this.fieldKey] ?? new List([placeholder, placeholder2, placeholder3, placeholder4]); } } componentDidMount() { + //this.initScrapbook(ScrapbookPresetType.Default); this.setTitle(); } @@ -222,6 +420,37 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() } } + + +function extractScrapbookConfigs(docs: Doc[]): ScrapbookItemConfig[] { + return docs.map(doc => extractConfig(doc)); +} + +// function extractConfig(doc: Doc): ScrapbookItemConfig { +// const layoutKey = Doc.LayoutDataKey(doc); +// const childDocs = doc[layoutKey] ? DocListCast(doc[layoutKey]) : []; + +// const isContainer = childDocs.length > 0; + +// const cfg: ScrapbookItemConfig = { +// type: isContainer ? DocumentType.COL : doc.$type, +// tag: +// acceptTag: doc.accepts_tagType, +// x: doc.x || 0, +// y: doc.y || 0, +// width: doc._width, +// height: doc._height, +// }; + +// if (isContainer) { +// cfg.containerWidth = doc.proto._width; +// cfg.containerHeight = doc.proto._height; +// cfg.children = childDocs.map(child => extractConfig(child)); +// } + +// return cfg; +// } + // Register scrapbook Docs.Prototypes.TemplateMap.set(DocumentType.SCRAPBOOK, { layout: { view: ScrapbookBox, dataField: 'items' }, diff --git a/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx b/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx new file mode 100644 index 000000000..3cae4382b --- /dev/null +++ b/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx @@ -0,0 +1,146 @@ +import { DocumentType } from '../../../documents/DocumentTypes'; + +export enum ScrapbookPresetType { + Default = 'Default', + Classic = 'Classic', + Collage = 'Collage', + Spotlight = 'Spotlight', +} + +export interface ScrapbookItemConfig { + type: DocumentType; + /** text shown in the placeholder bubble */ + tag: string; + /** what this slot actually accepts (defaults to `tag`) */ + acceptTag?: string; + + x: number; + y: number; + /** the frame this placeholder occupies */ + width?: number; + height?: number; + /** if this is a container with children, use these for the proto’s own size */ + containerWidth?: number; + containerHeight?: number; + children?: ScrapbookItemConfig[]; +} + +export class ScrapbookPreset { + static createPreset(presetType: ScrapbookPresetType): ScrapbookItemConfig[] { + switch (presetType) { + case ScrapbookPresetType.Classic: + return ScrapbookPreset.createClassicPreset(); + case ScrapbookPresetType.Collage: + return ScrapbookPreset.createCollagePreset(); + case ScrapbookPresetType.Spotlight: + return ScrapbookPreset.createSpotlightPreset(); + case ScrapbookPresetType.Default: + return ScrapbookPreset.createDefaultPreset(); + default: + throw new Error(`Unknown preset type: ${presetType}`); + } + } + + private static createClassicPreset(): ScrapbookItemConfig[] { + return [ + { type: DocumentType.IMG, + tag: 'LANDSCAPE', + acceptTag: 'LANDSCAPE', + x: 0, y: -100, width: 250, height: 200 + }, + { type: DocumentType.RTF, + tag: 'caption', + acceptTag: 'caption', + x: 0, y: 200, width: 250, height: 50 + }, + { type: DocumentType.RTF, + tag: 'lengthy description', + acceptTag: 'lengthy description', + x: 280, y: -50, width: 50, height: 200 + }, + { type: DocumentType.IMG, + tag: 'PERSON', + acceptTag: 'PERSON', + x: -200, y: -100, width: 100, height: 200 + }, + ]; + } + + private static createDefaultPreset(): ScrapbookItemConfig[] { + return [ + { type: DocumentType.IMG, + tag: 'image', + acceptTag: 'LANDSCAPE', + x: 0, y: -100, width: 250, height: 200 + }, + { type: DocumentType.RTF, + tag: 'summary', + acceptTag: 'caption', + x: 0, y: 200, width: 250 + }, + { type: DocumentType.RTF, + tag: 'sidebar', + acceptTag: 'lengthy description', + x: 280, y: -50, width: 50, height: 200 + }, + { + type: DocumentType.COL, + tag: 'internal coll', + x: -200, y: -100, width: 100, height: 200, + containerWidth: 300, containerHeight: 300, + children: [ + { type: DocumentType.IMG, + tag: 'image internal', + acceptTag: 'PERSON', + x: 0, y: 0, width: 50, height: 100 + } + ] + } + ]; + } + + private static createCollagePreset(): ScrapbookItemConfig[] { + return [ + { type: DocumentType.IMG, + tag: 'LANDSCAPE', + acceptTag: 'LANDSCAPE', + x: -150, y: -150, width: 150, height: 150 + }, + { type: DocumentType.IMG, + tag: 'PERSON', + acceptTag: 'PERSON', + x: 0, y: -150, width: 150, height: 150 + }, + { type: DocumentType.RTF, + tag: 'caption', + acceptTag: 'caption', + x: -150, y: 0, width: 300, height: 100 + }, + { type: DocumentType.RTF, + tag: 'lengthy description', + acceptTag: 'lengthy description', + x: 0, y: 100, width: 300, height: 100 + } + ]; + } + + private static createSpotlightPreset(): ScrapbookItemConfig[] { + return [ + { type: DocumentType.RTF, + tag: 'title', + acceptTag: 'title', + x: 0, y: -180, width: 300, height: 40 + }, + { type: DocumentType.IMG, + tag: 'LANDSCAPE', + acceptTag: 'LANDSCAPE', + x: 0, y: 0, width: 300, height: 200 + }, + { type: DocumentType.RTF, + tag: 'caption', + acceptTag: 'caption', + x: 0, y: 230, width: 300, height: 50 + } + ]; + } +} diff --git a/src/client/views/nodes/scrapbook/ScrapbookSettingsPanel.tsx b/src/client/views/nodes/scrapbook/ScrapbookSettingsPanel.tsx new file mode 100644 index 000000000..5808ab4d1 --- /dev/null +++ b/src/client/views/nodes/scrapbook/ScrapbookSettingsPanel.tsx @@ -0,0 +1,60 @@ +import React from 'react'; +import { FontAwesomeIcon } from '@fortawesome/react-fontawesome'; +import { faRedoAlt } from '@fortawesome/free-solid-svg-icons'; +import { action } from 'mobx'; + +export default class ScrapbookSettingsPanel extends React.Component { + + constructor(props) { + super(props); + this.state = { regenerating: false }; + } + + regenerateScrapbook = async () => { + this.setState({ regenerating: true }); + try { + // Example API call or method invoking ChatGPT for JSON + const newLayout = await fetch('/api/generate-scrapbook-layout', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ currentLayout: this.props.currentLayout }) + }).then(res => res.json()); + + action(() => { + // Apply new layout + this.props.applyNewLayout(newLayout); + })(); + } catch (err) { + console.error('Failed to regenerate layout:', err); + } finally { + this.setState({ regenerating: false }); + } + }; + + render() { + const { regenerating } = this.state; + + return ( +
+ +
+ ); + } +} \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 7626527799c0606fa9c4fd4d26a19189dc7e7a0e Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Sun, 1 Jun 2025 20:24:04 -0400 Subject: reactive backgrounds, tagging of pdfs, group-select and suggested templates, text box content influences backgrounds --- src/client/apis/gpt/GPT.ts | 41 +++- .../collections/collectionFreeForm/MarqueeView.tsx | 70 ++++-- src/client/views/nodes/ImageBox.tsx | 2 +- src/client/views/nodes/PDFBox.tsx | 44 ++++ src/client/views/nodes/VideoBox.tsx | 51 ++++ .../views/nodes/formattedText/FormattedTextBox.tsx | 52 +++- .../views/nodes/scrapbook/AIPresetGenerator.ts | 31 +++ src/client/views/nodes/scrapbook/ScrapbookBox.tsx | 264 ++++++--------------- .../views/nodes/scrapbook/ScrapbookPreset.tsx | 8 +- .../nodes/scrapbook/ScrapbookPresetRegistry.ts | 3 + 10 files changed, 347 insertions(+), 219 deletions(-) create mode 100644 src/client/views/nodes/scrapbook/AIPresetGenerator.ts (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/apis/gpt/GPT.ts b/src/client/apis/gpt/GPT.ts index 4dd30f8b3..03fce21f7 100644 --- a/src/client/apis/gpt/GPT.ts +++ b/src/client/apis/gpt/GPT.ts @@ -30,7 +30,6 @@ enum GPTCallType { DRAW = 'draw', COLOR = 'color', TEMPLATE = 'template', - SCRAPBOOK = 'scrapbook', VIZSUM = 'vizsum', VIZSUM2 = 'vizsum2', FILL = 'fill', @@ -41,7 +40,9 @@ enum GPTCallType { SUBSETDOCS = 'subset_docs', // select a subset of documents based on their descriptions DOCINFO = 'doc_info', // provide information about a document SORTDOCS = 'sort_docs', - CLASSIFYTEXT = 'classify_text', // classify text into one of the three categories: title, caption, lengthy description + CLASSIFYTEXTMINIMAL = 'classify_text_minimal', // classify text into one of the three categories: title, caption, lengthy description + CLASSIFYTEXTFULL = 'classify_text_full', //tags pdf content + GENERATESCRAPBOOK = 'generate_scrapbook' } type GPTCallOpts = { @@ -93,7 +94,7 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { prompt: "You are a helpful resarch assistant. Analyze the user's data to find meaningful patterns and/or correlation. Please only return a JSON with a correlation column 1 propert, a correlation column 2 property, and an analysis property. ", }, //new - classify_text: { + classify_text_minimal: { model: 'gpt-4o', maxTokens: 2048, temp: 0.25, @@ -101,6 +102,13 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { most appropriate category: '${TextClassifications.Title}', '${TextClassifications.Caption}', or '${TextClassifications.LengthyDescription}'. Output exclusively the classification in your response. ` }, + classify_text_full: { + model: 'gpt-4o', + maxTokens: 2048, + temp: 0.25, + prompt: `Based on the content of the text, provide six descriptive tags (single words) separated by spaces. + Finally, include a seventh more detailed summary phrase using underscores.` + }, describe: { model: 'gpt-4-vision-preview', maxTokens: 2048, temp: 0, prompt: 'Describe these images in 3-5 words' }, flashcard: { model: 'gpt-4-turbo', @@ -160,12 +168,29 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { prompt: 'You will be coloring drawings. You will be given what the drawing is, then a list of descriptions for parts of the drawing. Based on each description, respond with the stroke and fill color that it should be. Follow the rules: 1. Avoid using black for stroke color 2. Make the stroke color 1-3 shades darker than the fill color 3. Use the same colors when possible. Format as {#abcdef #abcdef}, making sure theres a color for each description, and do not include any additional text.', }, - scrapbook: { - model: 'gpt-4-turbo', - maxTokens: 512, + generate_scrapbook: { + model: 'gpt-4o', + maxTokens: 2048, temp: 0.5, - prompt: 'You will be given a list of field descriptions for one or more templates in the format {field #0: “description”}{field #1: “description”}{...}, and a list of column descriptions in the format {“title”: “description”}{...}. Your job is to match columns with fields based on their descriptions. Your output should be in the following JSON format: {“template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}, “template_title”:{“#”: “title”, “#”: “title”, “#”: “title” …}} where “template_title” is the templates title as specified in the description provided, # represents the field # and “title” the title of the column assigned to it. A filled out example might look like {“fivefield2”:{“0”:”Name”, “1”:”Image”, “2”:”Caption”, “3”:”Position”, “4”:”Stats”}, “fivefield3”:{0:”Image”, 1:”Name”, 2:”Caption”, 3:”Stats”, 4:”Position”}. Include one object for each template. IT IS VERY IMPORTANT THAT YOU ONLY INCLUDE TEXT IN THE FORMAT ABOVE, WITH NO ADDITIONS WHATSOEVER. Do not include extraneous ‘#’ characters, ‘column’ for columns, or ‘template’ for templates: ONLY THE TITLES AND NUMBERS. There should never be one column assigned to more than one field (ie. if the “name” column is assigned to field 1, it can’t be assigned to any other fields) . Do this for each template whose fields are described. The descriptions are as follows:', - }, + prompt: `Generate an aesthetically pleasing scrapbook layout preset based on these items. + Return your response as JSON in the format: + [{ + "type": DocumentType.RTF or DocumentType.IMG or DocumentType.PDF + "tag": a singular tag summarizing the document + "x": number, + "y": number, + "width": number, + "height": number + }, ...] + If there are mutliple documents, you may include + "children": [ + { type: + tag: + x: , y: , width: , height: + } + ] ` + + }, command_type: { model: 'gpt-4-turbo', diff --git a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx index f5e699d3e..0b91d628b 100644 --- a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx +++ b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx @@ -28,6 +28,8 @@ import { FormattedTextBox } from '../../nodes/formattedText/FormattedTextBox'; import { SubCollectionViewProps } from '../CollectionSubView'; import { ImageLabelBoxData } from './ImageLabelBox'; import { MarqueeOptionsMenu } from './MarqueeOptionsMenu'; +import { StrListCast } from '../../../../fields/Doc'; +import { requestAiGeneratedPreset, DocumentDescriptor } from '../../nodes/scrapbook/AIPresetGenerator'; import './MarqueeView.scss'; interface MarqueeViewProps { @@ -519,35 +521,71 @@ export class MarqueeView extends ObservableReactComponent { + + const selectedDocs = this.marqueeSelect(false); + if (!selectedDocs.length) return; - @undoBatch - generateScrapbook = action(() => { - let docs = new Array(); + const descriptors: DocumentDescriptor[] = selectedDocs.map(doc => ({ + type: typeof doc.$type === 'string' ? doc.$type : 'UNKNOWN', + tags: (() => { + const internalTagsSet = new Set(); + StrListCast(doc.$tags_chat ?? new List()).forEach(tag => { + internalTagsSet.add(tag); + }); + return Array.from(internalTagsSet); + })() + })); + + + const aiPreset = await requestAiGeneratedPreset(descriptors); + if (!aiPreset.length) { + alert("Failed to generate preset"); + return; + } + + const scrapbookPlaceholders: Doc[] = aiPreset.map(cfg => { + const placeholderDoc = Docs.Create.TextDocument(cfg.tag); + placeholderDoc.accepts_docType = cfg.type as DocumentType; + placeholderDoc.accepts_tagType = cfg.acceptTag ?? cfg.tag; + + const placeholder = new Doc(); + placeholder.proto = placeholderDoc; + placeholder.original = placeholderDoc; + placeholder.x = cfg.x; + placeholder.y = cfg.y; + if (cfg.width != null) placeholder._width = cfg.width; + if (cfg.height != null) placeholder._height = cfg.height; + + return placeholder; + }); + + const scrapbook = Docs.Create.ScrapbookDocument(scrapbookPlaceholders, { + backgroundColor: '#e2ad32', + x: this.Bounds.left, + y: this.Bounds.top, + _width: 500, + _height: 500, + title: 'AI-generated Scrapbook' + }); const selected = this.marqueeSelect(false).map(d => { this._props.removeDocument?.(d); d.x = NumCast(d.x) - this.Bounds.left; d.y = NumCast(d.y) - this.Bounds.top; - docs.push(d); return d; }); - const scrapbook = Docs.Create.ScrapbookDocument(docs, { - backgroundColor: '#e2ad32', - x: this.Bounds.left, - y: this.Bounds.top, - followLinkToggle: true, - _width: 200, - _height: 200, - _layout_showSidebar: true, - title: 'overview', - }); + + this._props.addDocument?.(scrapbook); + selectedDocs.forEach(doc => this._props.removeDocument?.(doc)); const portal = Docs.Create.FreeformDocument(selected, { title: 'summarized documents', x: this.Bounds.left + 200, y: this.Bounds.top, isGroup: true, backgroundColor: 'transparent' }); DocUtils.MakeLink(scrapbook, portal, { link_relationship: 'summary of:summarized by' }); portal.hidden = true; this._props.addDocument?.(portal); - //this._props.addLiveTextDocument(summary); - this._props.addDocument?.(scrapbook); MarqueeOptionsMenu.Instance.fadeOut(true); + this.hideMarquee(); }); diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index bd612d04f..9067f7e0c 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -132,7 +132,7 @@ export class ImageBox extends ViewBoxAnnotatableComponent() { const base64 = await imageUrlToBase64(url); if (!base64) throw new Error('Failed to load image data'); - // 3) ask GPT for exactly one label: PERSON or LANDSCAPE + // 3) ask GPT for labels one label: PERSON or LANDSCAPE const raw = await gptImageLabel( base64, `Classify this image as PERSON or LANDSCAPE. You may only respond with one of these two options. Then diff --git a/src/client/views/nodes/PDFBox.tsx b/src/client/views/nodes/PDFBox.tsx index 55e6d5596..282b06215 100644 --- a/src/client/views/nodes/PDFBox.tsx +++ b/src/client/views/nodes/PDFBox.tsx @@ -34,6 +34,9 @@ import { ImageBox } from './ImageBox'; import { OpenWhere } from './OpenWhere'; import './PDFBox.scss'; import { CreateImage } from './WebBoxRenderer'; +import { gptAPICall } from '../../apis/gpt/GPT'; +import { List } from '../../../fields/List'; +import { GPTCallType } from '../../apis/gpt/GPT'; @observer export class PDFBox extends ViewBoxAnnotatableComponent() { @@ -76,6 +79,47 @@ export class PDFBox extends ViewBoxAnnotatableComponent() { } } + autoTag = async () => { + try { + if (!this._pdf) { + throw new Error('PDF not loaded'); + } + + // 1) Extract text from the first few pages (e.g., first 2 pages) + const maxPages = Math.min(2, this._pdf.numPages); + let textContent = ''; + for (let pageNum = 1; pageNum <= maxPages; pageNum++) { + const page = await this._pdf.getPage(pageNum); + const text = await page.getTextContent(); + const pageText = text.items.map(item => ('str' in item ? item.str : '')).join(' '); + textContent += ` ${pageText}`; + } + + if (!textContent.trim()) { + throw new Error('No text found in PDF'); + } + + // 2) Ask GPT to classify and provide descriptive tags + const raw = await gptAPICall( + `"${textContent.trim().slice(0, 2000)}"`, + GPTCallType.CLASSIFYTEXTFULL + ); + + // 3) Normalize and store the labels + const label = raw.trim().toUpperCase(); + + const tokens = label.split(/\s+/); + this.Document.$tags_chat = new List(); + tokens.forEach(tok => (this.Document.$tags_chat as List).push(tok)); + + // 4) Show tags in layout + this.Document._layout_showTags = true; + + } catch (err) { + console.error('PDF autoTag failed:', err); + } +}; + replaceCanvases = (oldDiv: HTMLElement, newDiv: HTMLElement) => { if (oldDiv.childNodes) { for (let i = 0; i < oldDiv.childNodes.length; i++) { diff --git a/src/client/views/nodes/VideoBox.tsx b/src/client/views/nodes/VideoBox.tsx index fa099178c..0e7afbab1 100644 --- a/src/client/views/nodes/VideoBox.tsx +++ b/src/client/views/nodes/VideoBox.tsx @@ -30,6 +30,7 @@ import { StyleProp } from '../StyleProp'; import { DocumentView } from './DocumentView'; import { FieldView, FieldViewProps } from './FieldView'; import { FocusViewOptions } from './FocusViewOptions'; +import { gptImageLabel } from '../../apis/gpt/GPT'; import './VideoBox.scss'; /** @@ -109,6 +110,56 @@ export class VideoBox extends ViewBoxAnnotatableComponent() { return this._videoRef; } + + autoTag = async () => { + try { + if (!this.player) throw new Error('Video element not available.'); + + // 1) Extract a frame at the video's midpoint + const videoDuration = this.player.duration; + const snapshotTime = videoDuration / 2; + + // Seek the video element to the midpoint + await new Promise((resolve, reject) => { + const onSeeked = () => { + this.player!.removeEventListener('seeked', onSeeked); + resolve(); + }; + this.player!.addEventListener('seeked', onSeeked); + this.player!.currentTime = snapshotTime; + }); + + // 2) Draw the frame onto a canvas and get a base64 representation + const canvas = document.createElement('canvas'); + canvas.width = this.player.videoWidth; + canvas.height = this.player.videoHeight; + const ctx = canvas.getContext('2d'); + if (!ctx) throw new Error('Failed to create canvas context.'); + ctx.drawImage(this.player, 0, 0, canvas.width, canvas.height); + const base64Image = canvas.toDataURL('image/png'); + + // 3) Send the image data to GPT for classification and descriptive tags + const raw = await gptImageLabel( + base64Image, + `Classify this video frame as either a PERSON or LANDSCAPE. + Then provide five additional descriptive tags (single words) separated by spaces. + Finally, add one detailed summary phrase using underscores.` + ); + + // 4) Normalize and store labels in the Document's tags + const label = raw.trim().toUpperCase(); + const tokens = label.split(/\s+/); + this.Document.$tags_chat = new List(); + tokens.forEach(tok => (this.Document.$tags_chat as List).push(tok)); + + // 5) Turn on tag display in layout + this.Document._layout_showTags = true; + + } catch (err) { + console.error('Video autoTag failed:', err); + } +}; + componentDidMount() { this.unmounting = false; this._props.setContentViewBox?.(this); // this tells the DocumentView that this VideoBox is the "content" of the document. this allows the DocumentView to indirectly call getAnchor() on the VideoBox when making a link. diff --git a/src/client/views/nodes/formattedText/FormattedTextBox.tsx b/src/client/views/nodes/formattedText/FormattedTextBox.tsx index 10becc00b..04a14a15f 100644 --- a/src/client/views/nodes/formattedText/FormattedTextBox.tsx +++ b/src/client/views/nodes/formattedText/FormattedTextBox.tsx @@ -8,6 +8,7 @@ import { baseKeymap, selectAll, splitBlock } from 'prosemirror-commands'; import { history } from 'prosemirror-history'; import { inputRules } from 'prosemirror-inputrules'; import { keymap } from 'prosemirror-keymap'; +import { runInAction } from 'mobx'; import { Fragment, Mark, Node, Slice } from 'prosemirror-model'; import { EditorState, NodeSelection, Plugin, Selection, TextSelection, Transaction } from 'prosemirror-state'; import { EditorView, NodeViewConstructor } from 'prosemirror-view'; @@ -305,12 +306,53 @@ export class FormattedTextBox extends ViewBoxAnnotatableComponent { + autoTag = async () => { + + const layoutKey = Doc.LayoutDataKey(this.Document); + const rawText = RTFCast(this.Document[layoutKey])?.Text ?? StrCast(this.Document[layoutKey]); + + const callType = rawText.includes("[placeholder]") + ? GPTCallType.CLASSIFYTEXTMINIMAL + : GPTCallType.CLASSIFYTEXTFULL; + + gptAPICall(rawText, callType).then(desc => { + runInAction(() => { + // Clear existing tags + this.Document.$tags_chat = new List(); + + // Split GPT response into tokens and push individually + const tokens = desc.trim().split(/\s+/); + tokens.forEach(tok => { + (this.Document.$tags_chat as List).push(tok); + }); + + this.Document._layout_showTags = true; + }); + }); + /*this.Document.$tags_chat = new List(); + gptAPICall(RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]), GPTCallType.CLASSIFYTEXTMINIMAL).then(desc => (this.Document.$tags_chat as List).push(desc)); + this.Document._layout_showTags = true;*/ + + + // 2) grab whatever’s actually in the field (either RTF or plain string) +/* + const rawText = RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]) + + // 3) pick minimal vs. full classification based on "[placeholder]" substring + if (rawText.includes("[placeholder]")) { this.Document.$tags_chat = new List(); - gptAPICall(RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]), GPTCallType.CLASSIFYTEXT).then(desc => (this.Document.$tags_chat as List).push(desc)); - this.Document._layout_showTags = true; - //or... then(desc => this.Document.$tags_chat = desc); - }; + gptAPICall(RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]), GPTCallType.CLASSIFYTEXTMINIMAL).then(desc => { + (this.Document.$tags_chat as List).push(desc); + }); + } else { + this.Document.$tags_chat = new List(); + gptAPICall(RTFCast(this.Document[Doc.LayoutDataKey(this.Document)])?.Text ?? StrCast(this.Document[Doc.LayoutDataKey(this.Document)]), GPTCallType.CLASSIFYTEXTFULL).then(desc => { + (this.Document.$tags_chat as List).push(desc); + })}; + // 4) make sure the UI will show tags + this.Document._layout_showTags = true;*/ + +}; leafText = (node: Node) => { if (node.type === this.EditorView?.state.schema.nodes.dashField) { diff --git a/src/client/views/nodes/scrapbook/AIPresetGenerator.ts b/src/client/views/nodes/scrapbook/AIPresetGenerator.ts new file mode 100644 index 000000000..1f159222b --- /dev/null +++ b/src/client/views/nodes/scrapbook/AIPresetGenerator.ts @@ -0,0 +1,31 @@ +import { ScrapbookItemConfig } from './ScrapbookPreset'; +import { GPTCallType, gptAPICall } from '../../../apis/gpt/GPT'; + +// Represents the descriptor for each document +export interface DocumentDescriptor { + type: string; + tags: string[]; +} + +// Main function to request AI-generated presets +export async function requestAiGeneratedPreset(descriptors: DocumentDescriptor[]): Promise { + const prompt = createPrompt(descriptors); + let aiResponse = await gptAPICall(prompt, GPTCallType.GENERATESCRAPBOOK); + // Strip out ```json and ``` if the model wrapped its answer in fences + aiResponse = aiResponse + .trim() + .replace(/^```(?:json)?\s*/, "") // remove leading ``` or ```json + .replace(/\s*```$/, ""); // remove trailing ``` + const parsedPreset = JSON.parse(aiResponse) as ScrapbookItemConfig[]; + return parsedPreset; +} + +// Helper to generate prompt text for AI +function createPrompt(descriptors: DocumentDescriptor[]): string { + let prompt = ""; + descriptors.forEach((desc, index) => { + prompt += `${index + 1}. Type: ${desc.type}, Tags: ${desc.tags.join(', ')}\n`; + }); + + return prompt; +} diff --git a/src/client/views/nodes/scrapbook/ScrapbookBox.tsx b/src/client/views/nodes/scrapbook/ScrapbookBox.tsx index 391dcb83d..5dd02295c 100644 --- a/src/client/views/nodes/scrapbook/ScrapbookBox.tsx +++ b/src/client/views/nodes/scrapbook/ScrapbookBox.tsx @@ -24,20 +24,72 @@ import { ImageCast } from '../../../../fields/Types'; import { SnappingManager } from '../../../util/SnappingManager'; import { IReactionDisposer } from 'mobx'; import { observer } from 'mobx-react'; -import { ImageField } from '../../../../fields/URLField'; import { runInAction } from 'mobx'; import { FontAwesomeIcon } from '@fortawesome/react-fontawesome'; import { faRedoAlt } from '@fortawesome/free-solid-svg-icons'; import { getPresetNames, createPreset } from './ScrapbookPresetRegistry'; -enum ScrapbookPresetType { - Classic = 'Classic', - Default = 'Default', - Collage = 'Collage', - Spotlight = 'Spotlight', -} +export function buildPlaceholdersFromConfigs(configs: ScrapbookItemConfig[]): Doc[] { + const placeholders: Doc[] = []; + + for (const cfg of configs) { + if (cfg.children && cfg.children.length) { + // --- nested container --- + const childDocs = cfg.children.map(child => { + const doc = Docs.Create.TextDocument("[placeholder] " + child.tag); + doc.accepts_docType = child.type; + + const ph = new Doc(); + ph.proto = doc; + ph.original = doc; + ph.x = child.x; + ph.y = child.y; + if (child.width != null) ph._width = child.width; + if (child.height != null) ph._height = child.height; + return ph; + }); + + // wrap those children in a stacking container + const protoW = cfg.containerWidth ?? cfg.width; + const protoH = cfg.containerHeight ?? cfg.height; + const containerProto = Docs.Create.StackingDocument( + childDocs, + { + ...(protoW != null ? { _width: protoW } : {}), + ...(protoH != null ? { _height: protoH } : {}), + title: cfg.tag + } + ); + + const ph = new Doc(); + ph.proto = containerProto; + ph.original = containerProto; + ph.x = cfg.x; + ph.y = cfg.y; + if (cfg.width != null) ph._width = cfg.width; + if (cfg.height != null) ph._height = cfg.height; + placeholders.push(ph); + + } else { + // --- flat placeholder --- + const doc = Docs.Create.TextDocument("[placeholder] " + cfg.tag); + doc.accepts_docType = cfg.type; + doc.accepts_tagType = cfg.acceptTag ?? cfg.tag; + + const ph = new Doc(); + ph.proto = doc; + ph.original = doc; + ph.x = cfg.x; + ph.y = cfg.y; + if (cfg.width != null) ph._width = cfg.width; + if (cfg.height != null) ph._height = cfg.height; + placeholders.push(ph); + } + } + return placeholders; +} // Scrapbook view: a container that lays out its child items in a grid/template @observer export class ScrapbookBox extends ViewBoxAnnotatableComponent() { @@ -55,14 +107,22 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() constructor(props: FieldViewProps) { super(props); makeObservable(this); - // whenever the preset changes, rebuild the layout - reaction( + const existingItems = DocListCast(this.dataDoc[this.fieldKey] as List); + if (!existingItems || existingItems.length === 0) { + // Only wire up reaction/setTitle if it's truly a brand-new, empty Scrapbook + reaction( () => this.selectedPreset, presetName => this.initScrapbook(presetName), { fireImmediately: true } - ); - this.createdDate = this.getFormattedDate(); - + ); + + this.createdDate = this.getFormattedDate(); + this.setTitle(); + } else { + // If items are already present, just preserve whatever was injected. + // We still want `createdDate` set so that the UI title bar can show it if needed. + this.createdDate = this.getFormattedDate(); + } //this.configs = //ScrapbookPreset.createPreset(presetType); @@ -70,9 +130,7 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() if (!this.dataDoc[this.fieldKey]) { this.dataDoc[this.fieldKey] = new List(); } - this.createdDate = this.getFormattedDate(); //this.initScrapbook(ScrapbookPresetType.Default); - this.setTitle(); //this.setLayout(ScrapbookPreset.Spotlight); } @@ -99,175 +157,11 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() } // 2) build placeholders from the preset + const placeholders = buildPlaceholdersFromConfigs(configs); - const placeholders: Doc[] = []; - - for (const cfg of configs) { - if (cfg.children) { - // --- nested container --- - const childDocs = cfg.children.map(child => { - const doc = Docs.Create.TextDocument(child.tag); - doc.accepts_docType = child.type; - doc.accepts_tagType = child.acceptTag ?? child.tag; - - const ph = new Doc(); - ph.proto = doc; - ph.original = doc; - ph.x = child.x; - ph.y = child.y; - if (child.width != null) ph._width = child.width; - if (child.height != null) ph._height = child.height; - return ph; - }); - - const protoW = cfg.containerWidth ?? cfg.width; - const protoH = cfg.containerHeight ?? cfg.height; - const containerProto = Docs.Create.StackingDocument( - childDocs, - { - ...(protoW != null ? { _width: protoW } : {}), - ...(protoH != null ? { _height: protoH } : {}), - title: cfg.tag - } - ); - - const ph = new Doc(); - ph.proto = containerProto; - ph.original = containerProto; - ph.x = cfg.x; - ph.y = cfg.y; - if (cfg.width != null) ph._width = cfg.width; - if (cfg.height != null) ph._height = cfg.height; - placeholders.push(ph); - - } else { - // --- flat placeholder --- - const doc = Docs.Create.TextDocument(cfg.tag); - doc.accepts_docType = cfg.type; - doc.accepts_tagType = cfg.acceptTag ?? cfg.tag; - - const ph = new Doc(); - ph.proto = doc; - ph.original = doc; - ph.x = cfg.x; - ph.y = cfg.y; - if (cfg.width != null) ph._width = cfg.width; - if (cfg.height != null) ph._height = cfg.height; - placeholders.push(ph); - } - } - // 3) commit them into the field this.dataDoc[this.fieldKey] = new List(placeholders); } - @action - //INACTIVE VER ignore!! not in use rn, implementation ver 1 - setLayout(preset: ScrapbookPreset) { - // helper to wrap a TextDocument proto in a Doc with positioning - function makePlaceholder( - proto: Doc, x: number, y: number, - width: number, height: number - ): Doc { - const d = new Doc(); - d.proto = proto; - d.original = proto; - d.x = x; - d.y = y; - d._width = width; - d._height = height; - return d; - } - - let placeholders: Doc[]; - - switch (preset) { - case ScrapbookPresetType.Classic: - // One large landscape image on top, caption below, sidebar at right - const imgClassic = Docs.Create.TextDocument('image'); - imgClassic.accepts_docType = DocumentType.IMG; - imgClassic.accepts_tagType = 'LANDSCAPE'; - const phImageClassic = makePlaceholder(imgClassic, 0, -120, 300, 180); - - const captionClassic = Docs.Create.TextDocument('caption'); - captionClassic.accepts_docType = DocumentType.RTF; - captionClassic.accepts_tagType = 'caption'; - const phCaptionClassic = makePlaceholder(captionClassic, 0, 80, 300, 60); - - const sidebarClassic = Docs.Create.TextDocument('sidebar'); - sidebarClassic.accepts_docType = DocumentType.RTF; - sidebarClassic.accepts_tagType = 'lengthy description'; - const phSidebarClassic = makePlaceholder(sidebarClassic, 320, -50, 80, 200); - - placeholders = [phImageClassic, phCaptionClassic, phSidebarClassic]; - break; - - case ScrapbookPresetType.Collage: - // Grid of four person images, small captions under each - const personDocs: Doc[] = []; - for (let i = 0; i < 4; i++) { - const img = Docs.Create.TextDocument(`person ${i+1}`); - img.accepts_docType = DocumentType.IMG; - img.accepts_tagType = 'PERSON'; - // position in 2x2 grid - const x = (i % 2) * 160 - 80; - const y = Math.floor(i / 2) * 160 - 80; - personDocs.push(makePlaceholder(img, x, y, 150, 120)); - - const cap = Docs.Create.TextDocument(`caption ${i+1}`); - cap.accepts_docType = DocumentType.RTF; - cap.accepts_tagType = 'caption'; - personDocs.push(makePlaceholder(cap, x, y + 70, 150, 30)); - } - placeholders = personDocs; - break; - - case ScrapbookPresetType.Spotlight: - // Full-width title, then a stacking of an internal person image + landscape, then description - const titleSpot = Docs.Create.TextDocument('title'); - titleSpot.accepts_docType = DocumentType.RTF; - titleSpot.accepts_tagType = 'title'; - const phTitleSpot = makePlaceholder(titleSpot, 0, -180, 400, 60); - - const internalImg = Docs.Create.TextDocument(''); - internalImg.accepts_docType = DocumentType.IMG; - internalImg.accepts_tagType = 'PERSON'; - const phInternal = makePlaceholder(internalImg, -100, -120, 120, 160); - - const landscapeImg = Docs.Create.TextDocument(''); - landscapeImg.accepts_docType = DocumentType.IMG; - landscapeImg.accepts_tagType = 'LANDSCAPE'; - const phLandscape = makePlaceholder(landscapeImg, 50, 0, 200, 160); - - const stack = Docs.Create.StackingDocument( - [phInternal, phLandscape], - { _width: 360, _height: 180, title: 'spotlight stack' } - ); - const phStack = (() => { - const d = new Doc(); - d.proto = stack; - d.original = stack; - d.x = 8; - d.y = -84; - d._width = 360; - d._height = 180; - return d; - })(); - - const descSpot = Docs.Create.TextDocument('description'); - descSpot.accepts_docType = DocumentType.RTF; - descSpot.accepts_tagType = 'lengthy description'; - const phDescSpot = makePlaceholder(descSpot, 0, 140, 400, 100); - - placeholders = [phTitleSpot, phStack, phDescSpot]; - break; - - default: - placeholders = []; - } - - // finally assign into the dataDoc - this.dataDoc[this.fieldKey] = new List(placeholders); - } @@ -276,8 +170,8 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() const title = `Scrapbook - ${this.createdDate}`; if (this.dataDoc.title !== title) { this.dataDoc.title = title; - - const image = Docs.Create.TextDocument('person image'); + if (!this.dataDoc[this.fieldKey]){ + const image = Docs.Create.TextDocument('[placeholder] person image'); image.accepts_docType = DocumentType.IMG; image.accepts_tagType = 'PERSON' //should i be writing fields on this doc? clarify diff between this and proto, original const placeholder = new Doc(); @@ -289,7 +183,7 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() placeholder.y = -100; //placeholder.overrideFields = new List(['x', 'y']); // shouldn't need to do this for layout fields since the placeholder already overrides its protos - const summary = Docs.Create.TextDocument('long summary'); + const summary = Docs.Create.TextDocument('[placeholder] long summary'); summary.accepts_docType = DocumentType.RTF; summary.accepts_tagType = 'lengthy description'; //summary.$tags_chat = new List(['lengthy description']); //we need to go back and set this @@ -301,7 +195,7 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() placeholder2._width = 250; //placeholder2.overrideFields = new List(['x', 'y', '_width']); // shouldn't need to do this for layout fields since the placeholder already overrides its protos - const sidebar = Docs.Create.TextDocument('brief sidebar'); + const sidebar = Docs.Create.TextDocument('[placeholder] brief sidebar'); sidebar.accepts_docType = DocumentType.RTF; sidebar.accepts_tagType = 'title'; //accepts_textType = 'lengthy description' const placeholder3 = new Doc(); @@ -314,7 +208,7 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() - const internalImg = Docs.Create.TextDocument('landscape internal'); + const internalImg = Docs.Create.TextDocument('[placeholder] landscape internal'); internalImg.accepts_docType = DocumentType.IMG; internalImg.accepts_tagType = 'LANDSCAPE' //should i be writing fields on this doc? clarify diff between this and proto, original const placeholder5 = new Doc(); @@ -350,7 +244,7 @@ export class ScrapbookBox extends ViewBoxAnnotatableComponent() difference between passing a new List versus just the raw array? */ this.dataDoc[this.fieldKey] = new List([placeholder, placeholder2, placeholder3, placeholder4]); - + } //this.dataDoc[this.fieldKey] = this.dataDoc[this.fieldKey] ?? new List([placeholder, placeholder2, placeholder3, placeholder4]); diff --git a/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx b/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx index fc69552c0..87821c7bf 100644 --- a/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx +++ b/src/client/views/nodes/scrapbook/ScrapbookPreset.tsx @@ -47,22 +47,22 @@ export class ScrapbookPreset { private static createClassicPreset(): ScrapbookItemConfig[] { return [ { type: DocumentType.IMG, - tag: 'LANDSCAPE', + tag: '[placeholder] LANDSCAPE', acceptTag: 'LANDSCAPE', x: 0, y: -100, width: 250, height: 200 }, { type: DocumentType.RTF, - tag: 'caption', + tag: '[placeholder] caption', acceptTag: 'caption', x: 0, y: 200, width: 250, height: 50 }, { type: DocumentType.RTF, - tag: 'lengthy description', + tag: '[placeholder] lengthy description', acceptTag: 'lengthy description', x: 280, y: -50, width: 50, height: 200 }, { type: DocumentType.IMG, - tag: 'PERSON', + tag: '[placeholder] PERSON', acceptTag: 'PERSON', x: -200, y: -100, width: 100, height: 200 }, diff --git a/src/client/views/nodes/scrapbook/ScrapbookPresetRegistry.ts b/src/client/views/nodes/scrapbook/ScrapbookPresetRegistry.ts index f7ddd70ab..d6fd3620c 100644 --- a/src/client/views/nodes/scrapbook/ScrapbookPresetRegistry.ts +++ b/src/client/views/nodes/scrapbook/ScrapbookPresetRegistry.ts @@ -6,6 +6,9 @@ type PresetGenerator = () => ScrapbookItemConfig[]; // Internal map of preset name to generator const presetRegistry = new Map(); + + + /** * Register a new scrapbook preset under the given name. */ -- cgit v1.2.3-70-g09d2 From 42b35b687f081e579cbec524426105df3ac695ef Mon Sep 17 00:00:00 2001 From: sharkiecodes Date: Thu, 5 Jun 2025 22:48:33 -0400 Subject: attempting marqueeview gen of multiple scrapbooks --- src/client/apis/gpt/GPT.ts | 15 +- .../collectionFreeForm/MarqueeView.scss | 2 +- .../collections/collectionFreeForm/MarqueeView.tsx | 191 +++++++++++++++++++-- src/client/views/nodes/ImageBox.tsx | 6 + src/client/views/nodes/VideoBox.tsx | 3 +- src/client/views/nodes/scrapbook/ScrapbookBox.tsx | 165 +++++++++--------- .../views/nodes/scrapbook/ScrapbookPicker.scss | 40 +++++ .../views/nodes/scrapbook/ScrapbookPicker.tsx | 84 +++++++++ .../views/nodes/scrapbook/ScrapbookPreset.tsx | 44 ++--- .../views/nodes/scrapbook/scrapbookleftover.ts | 46 +++++ 10 files changed, 474 insertions(+), 122 deletions(-) create mode 100644 src/client/views/nodes/scrapbook/ScrapbookPicker.scss create mode 100644 src/client/views/nodes/scrapbook/ScrapbookPicker.tsx create mode 100644 src/client/views/nodes/scrapbook/scrapbookleftover.ts (limited to 'src/client/views/collections/collectionFreeForm') diff --git a/src/client/apis/gpt/GPT.ts b/src/client/apis/gpt/GPT.ts index 03fce21f7..4642d79eb 100644 --- a/src/client/apis/gpt/GPT.ts +++ b/src/client/apis/gpt/GPT.ts @@ -14,7 +14,7 @@ export const DocSeperator = '------'; export enum TextClassifications { Title = 'title', //a few words Caption = 'caption', //few sentences - LengthyDescription = 'lengthy description' } + LengthyDescription = 'lengthy' } enum GPTCallType { SUMMARY = 'summary', @@ -106,8 +106,10 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { model: 'gpt-4o', maxTokens: 2048, temp: 0.25, - prompt: `Based on the content of the text, provide six descriptive tags (single words) separated by spaces. - Finally, include a seventh more detailed summary phrase using underscores.` + prompt: `Based on the content of the the text, classify it into the + most appropriate category: '${TextClassifications.Title}', '${TextClassifications.Caption}', or '${TextClassifications.LengthyDescription}'. + Then provide five more descriptive tags (single words) separated by spaces. + Finally, include a more detailed summary phrase tag using underscores, for a total of seven tags.` }, describe: { model: 'gpt-4-vision-preview', maxTokens: 2048, temp: 0, prompt: 'Describe these images in 3-5 words' }, flashcard: { @@ -175,14 +177,15 @@ const callTypeMap: { [type in GPTCallType]: GPTCallOpts } = { prompt: `Generate an aesthetically pleasing scrapbook layout preset based on these items. Return your response as JSON in the format: [{ - "type": DocumentType.RTF or DocumentType.IMG or DocumentType.PDF + "type": rich text or image or pdf or video or collection "tag": a singular tag summarizing the document + "acceptTags": [a list of all relevant tags that this document accepts, like ['PERSON', 'LANDSCAPE']] "x": number, "y": number, - "width": number, + "width": number, **note: if it is in an image, please respect existing aspect ratio if it is provided "height": number }, ...] - If there are mutliple documents, you may include + If there are mutliple documents and you wish to nest documents into a collection for aesthetic purposes, you may include "children": [ { type: tag: diff --git a/src/client/views/collections/collectionFreeForm/MarqueeView.scss b/src/client/views/collections/collectionFreeForm/MarqueeView.scss index 7c9d0f6e1..b514b0911 100644 --- a/src/client/views/collections/collectionFreeForm/MarqueeView.scss +++ b/src/client/views/collections/collectionFreeForm/MarqueeView.scss @@ -28,4 +28,4 @@ .marquee-legend::after { content: 'Press for lasso'; } -} +} \ No newline at end of file diff --git a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx index 0b91d628b..05d4cd81d 100644 --- a/src/client/views/collections/collectionFreeForm/MarqueeView.tsx +++ b/src/client/views/collections/collectionFreeForm/MarqueeView.tsx @@ -22,6 +22,7 @@ import { ObservableReactComponent } from '../../ObservableReactComponent'; import { MarqueeViewBounds } from '../../PinFuncs'; import { PreviewCursor } from '../../PreviewCursor'; import { DocumentView } from '../../nodes/DocumentView'; +import { OverlayDisposer } from '../../OverlayView'; import { OpenWhere } from '../../nodes/OpenWhere'; import { pasteImageBitmap } from '../../nodes/WebBoxRenderer'; import { FormattedTextBox } from '../../nodes/formattedText/FormattedTextBox'; @@ -30,8 +31,15 @@ import { ImageLabelBoxData } from './ImageLabelBox'; import { MarqueeOptionsMenu } from './MarqueeOptionsMenu'; import { StrListCast } from '../../../../fields/Doc'; import { requestAiGeneratedPreset, DocumentDescriptor } from '../../nodes/scrapbook/AIPresetGenerator'; +import { ScrapbookItemConfig } from '../../nodes/scrapbook/ScrapbookPreset'; +import { OverlayView } from '../../OverlayView'; +import { runInAction } from 'mobx'; +import { ScrapbookPicker } from '../../nodes/scrapbook/ScrapbookPicker'; +import { buildPlaceholdersFromConfigs, slotRealDocIntoPlaceholders } from '../../nodes/scrapbook/ScrapbookBox'; import './MarqueeView.scss'; +import { build } from 'xregexp'; + interface MarqueeViewProps { Doc: Doc; getContainerTransform: () => Transform; @@ -78,6 +86,16 @@ export class MarqueeView extends ObservableReactComponent