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import { makeObservable, action, observable } from 'mobx';
import * as React from 'react';
import { Docs } from '../../../documents/Documents';
import { DocumentType } from '../../../documents/DocumentTypes';
import { ViewBoxAnnotatableComponent } from '../../DocComponent';
import { FieldView, FieldViewProps } from '../FieldView';
import { FormattedTextBox, FormattedTextBoxProps } from './FormattedTextBox';
import { gptAPICall, GPTCallType } from '../../../apis/gpt/GPT';
import { RichTextField } from '../../../../fields/RichTextField';
import { Plugin } from 'prosemirror-state';
import { RTFCast } from '../../../../fields/Types';
export class DailyJournal extends ViewBoxAnnotatableComponent<FieldViewProps>() {
@observable journalDate: string;
@observable typingTimeout: NodeJS.Timeout | null = null; // Track typing delay
@observable lastUserText: string = ''; // Store last user-entered text
_ref = React.createRef<FormattedTextBox>(); // reference to the formatted textbox
predictiveTextRange: { from: number; to: number } | null = null; // where predictive text starts and ends
private predictiveText: string | null = ' ... why?';
public static LayoutString(fieldStr: string) {
return FieldView.LayoutString(DailyJournal, fieldStr);
}
constructor(props: FormattedTextBoxProps) {
super(props);
makeObservable(this);
this.journalDate = this.getFormattedDate();
}
/**
* Method to get the current date in standard format
* @returns - date in standard long format
*/
getFormattedDate(): string {
const date = new Date().toLocaleDateString(undefined, {
weekday: 'long',
year: 'numeric',
month: 'long',
day: 'numeric',
});
console.log('getFormattedDate():', date);
return date;
}
/**
* Method to set the title of the node to the date
*/
@action
setDailyTitle() {
console.log('setDailyTitle() called...');
console.log('Current title before update:', this.dataDoc.title);
if (!this.dataDoc.title || this.dataDoc.title !== this.journalDate) {
console.log('Updating title to:', this.journalDate);
this.dataDoc.title = this.journalDate;
}
console.log('New title after update:', this.dataDoc.title);
}
/**
* Method to set the standard text of the node (to the current date)
*/
@action
setDailyText() {
const placeholderText = 'Start writing here...';
const dateText = `${this.journalDate}\n`;
console.log('Checking if dataDoc has text field...');
this.dataDoc[this.fieldKey] = RichTextField.textToRtfFormat(
[
{ text: 'Journal Entry:', styles: { bold: true, color: 'black', fontSize: 20 } },
{ text: dateText, styles: { italic: true, color: 'gray', fontSize: 15 } },
{ text: placeholderText, styles: { fontSize: 14, color: 'gray' } },
],
undefined,
placeholderText.length
);
console.log('Current text field:', this.dataDoc[this.fieldKey]);
}
/**
* Tracks user typing text inout into the node, to call the insert predicted
* text function when appropriate (i.e. when the user stops typing)
*/
@action onTextInput = () => {
const editorView = this._ref.current?.EditorView;
if (!editorView) return;
if (this.typingTimeout) clearTimeout(this.typingTimeout);
this.typingTimeout = setTimeout(() => {
this.insertPredictiveQuestion();
}, 3500);
};
/**
* Inserts predictive text at the end of what the user is typing
*/
@action insertPredictiveQuestion = async () => {
const editorView = this._ref.current?.EditorView;
if (!editorView) return;
const { state, dispatch } = editorView;
const { schema } = state;
const { to } = state.selection;
const insertPos = to; // cursor position
const resolvedPos = state.doc.resolve(insertPos);
const parentNode = resolvedPos.parent;
const indexInParent = resolvedPos.index();
const isAtEndOfParent = indexInParent >= parentNode.childCount;
// Check if there's a line break or paragraph node after the current position
let hasNewlineAfter = false;
try {
const nextNode = parentNode.child(indexInParent);
hasNewlineAfter = nextNode.type.name === schema.nodes.hard_break.name || nextNode.type.name === schema.nodes.paragraph.name;
} catch {
hasNewlineAfter = false;
}
// Only insert if we're at end of node, or there's a newline node after
if (!isAtEndOfParent && !hasNewlineAfter) return;
const fontSizeMark = schema.marks.pFontSize.create({ fontSize: '14px' });
const fontColorMark = schema.marks.pFontColor.create({ fontColor: 'lightgray' });
const fontItalicsMark = schema.marks.em.create();
this.predictiveText = ' ...'; // placeholder for now
const fullTextUpToCursor = state.doc.textBetween(0, state.selection.to, '\n', '\n');
const gptPrompt = `Given the following incomplete journal entry, generate a single 2-5 word question that continues the user's thought:\n\n"${fullTextUpToCursor}"`;
const res = await gptAPICall(gptPrompt, GPTCallType.COMPLETION);
if (!res) return;
// styled text node
const text = ` ... ${res.trim()}`;
const predictedText = schema.text(text, [fontSizeMark, fontColorMark, fontItalicsMark]);
// Insert styled text at cursor position
const transaction = state.tr.insert(insertPos, predictedText).setStoredMarks([state.schema.marks.pFontColor.create({ fontColor: 'gray' })]); // should probably instead inquire marks before predictive prompt
dispatch(transaction);
this.predictiveText = text;
};
createPredictiveCleanupPlugin = () => {
return new Plugin({
view: () => {
return {
update: (view, prevState) => {
const { state, dispatch } = view;
if (!this.predictiveText) return;
// Check if doc or selection changed
if (!prevState.doc.eq(state.doc) || !prevState.selection.eq(state.selection)) {
let found = false;
const textToRemove = this.predictiveText;
state.doc.descendants((node, pos) => {
if (node.isText && node.text === textToRemove) {
const tr = state.tr.delete(pos, pos + node.nodeSize);
// Set the desired default marks for future input
const fontSizeMark = state.schema.marks.pFontSize.create({ fontSize: '14px' });
const fontColorMark = state.schema.marks.pFontColor.create({ fontColor: 'gray' });
tr.setStoredMarks([]);
tr.setStoredMarks([fontSizeMark, fontColorMark]);
dispatch(tr);
this.predictiveText = null;
return false;
}
return true;
});
if (!found) {
// fallback cleanup
this.predictiveText = null;
}
}
},
};
},
});
};
componentDidMount(): void {
console.log('componentDidMount() triggered...');
console.log('Text: ' + RTFCast(this.Document.text)?.Text);
const editorView = this._ref.current?.EditorView;
if (editorView) {
editorView.dom.addEventListener('input', this.onTextInput);
// Add plugin to state if not already added
const cleanupPlugin = this.createPredictiveCleanupPlugin();
this._ref.current?.addPlugin(cleanupPlugin);
}
const rawText = RTFCast(this.Document.text)?.Text ?? '';
const isTextEmpty = !rawText || rawText === '';
const currentTitle = this.dataDoc.title || '';
const isTitleString = typeof currentTitle === 'string';
const isDefaultTitle = isTitleString && currentTitle.includes('Untitled DailyJournal');
if (isTextEmpty && isDefaultTitle) {
console.log('Journal title and text are default. Initializing...');
this.setDailyTitle();
this.setDailyText();
} else {
console.log('Journal already has content. Skipping initialization.');
}
}
componentWillUnmount(): void {
const editorView = this._ref.current?.EditorView;
if (editorView) {
editorView.dom.removeEventListener('input', this.onTextInput);
}
if (this.typingTimeout) clearTimeout(this.typingTimeout);
}
@action handleGeneratePrompts = async () => {
const rawText = RTFCast(this.Document.text)?.Text ?? '';
console.log('Extracted Journal Text:', rawText);
console.log('Before Update:', this.Document.text, 'Type:', typeof this.Document.text);
if (!rawText.trim()) {
alert('Journal is empty! Write something first.');
return;
}
try {
// Call GPT API to generate prompts
const res = await gptAPICall('Generate 1-2 short journal prompts for the following journal entry: ' + rawText, GPTCallType.COMPLETION);
if (!res) {
console.error('GPT call failed.');
return;
}
const editorView = this._ref.current?.EditorView;
if (!editorView) {
console.error('EditorView is not available.');
return;
} else {
const { state, dispatch } = editorView;
const { schema } = state;
// Use available marks
const boldMark = schema.marks.strong.create();
const italicMark = schema.marks.em.create();
const fontSizeMark = schema.marks.pFontSize.create({ fontSize: '14px' });
const fontColorMark = schema.marks.pFontColor.create({ fontColor: 'gray' });
// Create text nodes with formatting
const headerText = schema.text('\n\n# Suggested Prompts:\n', [boldMark, italicMark, fontSizeMark, fontColorMark]);
const responseText = schema.text(res, [fontSizeMark, fontColorMark]);
// Insert formatted text
const transaction = state.tr.insert(state.selection.from, headerText).insert(state.selection.from + headerText.nodeSize, responseText);
dispatch(transaction);
}
} catch (err) {
console.error('Error calling GPT:', err);
}
};
render() {
return (
<div
style={{
// background: 'beige',
width: '100%',
height: '100%',
backgroundColor: 'beige',
backgroundImage: `
repeating-linear-gradient(
to bottom,
rgba(255, 26, 26, 0.2) 0px, rgba(255, 26, 26, 0.2) 1px, /* Thin red stripes */
transparent 1px, transparent 20px
)
`,
backgroundSize: '100% 20px',
backgroundRepeat: 'repeat',
}}>
{/* GPT Button */}
<button
style={{
position: 'absolute',
bottom: '5px',
right: '5px',
padding: '5px 10px',
backgroundColor: '#9EAD7C',
color: 'white',
border: 'none',
borderRadius: '5px',
cursor: 'pointer',
zIndex: 10,
}}
onClick={this.handleGeneratePrompts}>
Prompts
</button>
<FormattedTextBox ref={this._ref} {...this._props} fieldKey={'text'} Document={this.Document} TemplateDataDocument={undefined} />
</div>
);
}
}
Docs.Prototypes.TemplateMap.set(DocumentType.JOURNAL, {
layout: { view: DailyJournal, dataField: 'text' },
options: {
acl: '',
_height: 35,
_xMargin: 10,
_yMargin: 10,
_layout_autoHeight: true,
_layout_nativeDimEditable: true,
_layout_reflowVertical: true,
_layout_reflowHorizontal: true,
defaultDoubleClick: 'ignore',
systemIcon: 'BsFileEarmarkTextFill',
},
});
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