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import { BaseTool } from './BaseTool';
import { Observation } from '../types/types';
import { Parameter, ParametersType, ToolInfo } from '../types/tool_types';
import { parsedDoc } from '../chatboxcomponents/ChatBox';
import { CollectionViewType } from '../../../../documents/DocumentTypes';
/**
* List of supported document types that can be created via text LLM.
*/
export enum supportedDocTypes {
flashcard = 'flashcard',
note = 'note',
html = 'html',
equation = 'equation',
functionplot = 'functionplot',
dataviz = 'dataviz',
notetaking = 'notetaking',
audio = 'audio',
video = 'video',
pdf = 'pdf',
rtf = 'rtf',
message = 'message',
collection = 'collection',
image = 'image',
deck = 'deck',
web = 'web',
comparison = 'comparison',
diagram = 'diagram',
script = 'script',
}
/**
* Tthe CreateDocTool class is responsible for creating
* documents of various types (e.g., text, flashcards, collections) and organizing them in a
* structured manner. The tool supports creating dashboards with diverse document types and
* ensures proper placement of documents without overlap.
*/
// Example document structure for various document types
const example = [
{
doc_type: supportedDocTypes.equation,
title: 'quadratic',
data: 'x^2 + y^2 = 3',
_width: 300,
_height: 300,
x: 0,
y: 0,
},
{
doc_type: supportedDocTypes.collection,
title: 'Advanced Biology',
data: [
{
doc_type: supportedDocTypes.text,
title: 'Cell Structure',
data: 'Cells are the basic building blocks of all living organisms.',
_width: 300,
_height: 300,
x: 500,
y: 0,
},
],
backgroundColor: '#00ff00',
_width: 600,
_height: 600,
x: 600,
y: 0,
type_collection: 'tree',
},
{
doc_type: supportedDocTypes.image,
title: 'experiment',
data: 'https://plus.unsplash.com/premium_photo-1694819488591-a43907d1c5cc?q=80&w=2628&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D',
_width: 300,
_height: 300,
x: 600,
y: 300,
},
{
doc_type: supportedDocTypes.deck,
title: 'Chemistry',
data: [
{
doc_type: supportedDocTypes.flashcard,
title: 'Photosynthesis',
data: [
{
doc_type: supportedDocTypes.text,
title: 'front_Photosynthesis',
data: 'What is photosynthesis?',
_width: 300,
_height: 300,
x: 100,
y: 600,
},
{
doc_type: supportedDocTypes.text,
title: 'back_photosynthesis',
data: 'The process by which plants make food.',
_width: 300,
_height: 300,
x: 100,
y: 700,
},
],
backgroundColor: '#00ff00',
_width: 300,
_height: 300,
x: 300,
y: 1000,
},
{
doc_type: supportedDocTypes.flashcard,
title: 'Photosynthesis',
data: [
{
doc_type: supportedDocTypes.text,
title: 'front_Photosynthesis',
data: 'What is photosynthesis?',
_width: 300,
_height: 300,
x: 200,
y: 800,
},
{
doc_type: supportedDocTypes.text,
title: 'back_photosynthesis',
data: 'The process by which plants make food.',
_width: 300,
_height: 300,
x: 100,
y: -100,
},
],
backgroundColor: '#00ff00',
_width: 300,
_height: 300,
x: 10,
y: 70,
},
],
backgroundColor: '#00ff00',
_width: 600,
_height: 600,
x: 200,
y: 800,
},
{
doc_type: supportedDocTypes.web,
title: 'Brown University Wikipedia',
data: 'https://en.wikipedia.org/wiki/Brown_University',
_width: 300,
_height: 300,
x: 1000,
y: 2000,
},
{
doc_type: supportedDocTypes.comparison,
title: 'WWI vs. WWII',
data: [
{
doc_type: supportedDocTypes.text,
title: 'WWI',
data: 'From 1914 to 1918, fighting took place across several continents, at sea and, for the first time, in the air.',
_width: 300,
_height: 300,
x: 100,
y: 100,
},
{
doc_type: supportedDocTypes.text,
title: 'WWII',
data: 'A devastating global conflict spanning from 1939 to 1945, saw the Allied powers fight against the Axis powers.',
_width: 300,
_height: 300,
x: 100,
y: 100,
},
],
_width: 300,
_height: 300,
x: 100,
y: 100,
},
{
doc_type: supportedDocTypes.collection,
title: 'Science Collection',
data: [
{
doc_type: supportedDocTypes.flashcard,
title: 'Photosynthesis',
data: [
{
doc_type: supportedDocTypes.text,
title: 'front_Photosynthesis',
data: 'What is photosynthesis?',
_width: 300,
_height: 300,
},
{
doc_type: supportedDocTypes.text,
title: 'back_photosynthesis',
data: 'The process by which plants make food.',
_width: 300,
_height: 300,
},
],
backgroundColor: '#00ff00',
_width: 300,
_height: 300,
},
{
doc_type: supportedDocTypes.web,
title: 'Brown University Wikipedia',
data: 'https://en.wikipedia.org/wiki/Brown_University',
_width: 300,
_height: 300,
x: 1100,
y: 1100,
},
{
doc_type: supportedDocTypes.text,
title: 'Water Cycle',
data: 'The continuous movement of water on, above, and below the Earth’s surface.',
_width: 300,
_height: 300,
x: 1500,
y: 500,
},
{
doc_type: supportedDocTypes.collection,
title: 'Advanced Biology',
data: [
{
doc_type: 'text',
title: 'Cell Structure',
data: 'Cells are the basic building blocks of all living organisms.',
_width: 300,
_height: 300,
},
],
backgroundColor: '#00ff00',
_width: 600,
_height: 600,
x: 1100,
y: 500,
type_collection: 'stacking',
},
],
_width: 600,
_height: 600,
x: 500,
y: 500,
type_collection: 'carousel',
},
];
// Stringify the entire structure for transmission if needed
const finalJsonString = JSON.stringify(example);
const standardOptions = ['title', 'backgroundColor'];
/**
* Description of document options and data field for each type.
*/
const documentTypesInfo: { [key in supportedDocTypes]: { options: string[]; dataDescription: string } } = {
comparison: {
options: [...standardOptions, 'fontColor', 'text_align'],
dataDescription: 'an array of two documents of any kind that can be compared.',
},
deck: {
options: [...standardOptions, 'fontColor', 'text_align'],
dataDescription: 'an array of flashcard docs',
},
flashcard: {
options: [...standardOptions, 'fontColor', 'text_align'],
dataDescription: 'an array of two strings. the first string contains a question, and the second string contains an answer',
},
text: {
options: [...standardOptions, 'fontColor', 'text_align'],
dataDescription: 'The text content of the document.',
},
web: {
options: [],
dataDescription: 'A URL to a webpage. Example: https://en.wikipedia.org/wiki/Brown_University',
},
html: {
options: [],
dataDescription: 'The HTML-formatted text content of the document.',
},
equation: {
options: [...standardOptions, 'fontColor'],
dataDescription: 'The equation content represented as a MathML string.',
},
functionplot: {
options: [...standardOptions, 'function_definition'],
dataDescription: 'The function definition(s) for plotting. Provide as a string or array of function definitions.',
},
dataviz: {
options: [...standardOptions, 'chartType'],
dataDescription: 'A string of comma-separated values representing the CSV data.',
},
notetaking: {
options: standardOptions,
dataDescription: 'An array of related text documents with small amounts of text.',
},
rtf: {
options: standardOptions,
dataDescription: 'The rich text content in RTF format.',
},
image: {
options: standardOptions,
dataDescription: `A url string that must end with '.png', '.jpeg', '.gif', or '.jpg'`,
},
pdf: {
options: standardOptions,
dataDescription: 'the pdf content as a PDF file url.',
},
audio: {
options: standardOptions,
dataDescription: 'The audio content as a file url.',
},
video: {
options: standardOptions,
dataDescription: 'The video content as a file url.',
},
message: {
options: standardOptions,
dataDescription: 'The message content of the document.',
},
diagram: {
options: standardOptions,
dataDescription: 'diagram content as a text string in Mermaid format.',
},
script: {
options: standardOptions,
dataDescription: 'The compilable JavaScript code. Use this for creating scripts.',
},
collection: {
options: [...standardOptions, 'type_collection'],
dataDescription: 'A collection of Docs represented as an array.',
},
};
// Parameters for creating individual documents
const createDocToolParams: { name: string; type: 'string' | 'number' | 'boolean' | 'string[]' | 'number[]'; description: string; required: boolean }[] = [
{
name: 'data',
type: 'string', // Accepts either string or array, supporting individual and nested data
description:
'the data that describes the Document contents. For collections this is an' +
`Array of documents in stringified JSON format. Each item in the array should be an individual stringified JSON object. ` +
`Creates any type of document with the provided options and data. Supported document types are: ${Object.keys(documentTypesInfo).join(', ')}.
dataviz is a csv table tool, so for CSVs, use dataviz. Here are the options for each type:
<supported_document_types>` +
Object.entries(documentTypesInfo)
.map(
([doc_type, info]) =>
`<document_type name="${doc_type}">
<data_description>${info.dataDescription}</data_description>
<options>` +
info.options.map(option => `<option>${option}</option>`).join('\n') +
`
</options>
</document_type>`
)
.join('\n') +
`</supported_document_types> An example of the structure of a collection is:` +
finalJsonString, // prettier-ignore,
required: true,
},
{
name: 'doc_type',
type: 'string',
description: `The type of the document. Options: ${Object.keys(documentTypesInfo).join(',')}.`,
required: true,
},
{
name: 'title',
type: 'string',
description: 'The title of the document.',
required: true,
},
{
name: 'x',
type: 'number',
description: 'The x location of the document; 0 <= x.',
required: true,
},
{
name: 'y',
type: 'number',
description: 'The y location of the document; 0 <= y.',
required: true,
},
{
name: 'backgroundColor',
type: 'string',
description: 'The background color of the document as a hex string.',
required: false,
},
{
name: 'fontColor',
type: 'string',
description: 'The font color of the document as a hex string.',
required: false,
},
{
name: '_width',
type: 'number',
description: 'The width of the document in pixels.',
required: true,
},
{
name: '_height',
type: 'number',
description: 'The height of the document in pixels.',
required: true,
},
{
name: 'type_collection',
type: 'string',
description: `the visual style for a collection doc. Options include: ${Object.values(CollectionViewType).join(',')}.`,
required: false,
},
] as const;
type CreateDocToolParamsType = typeof createDocToolParams;
const createDocToolInfo: ToolInfo<CreateDocToolParamsType> = {
name: 'createDoc',
description: `Creates one or more documents that best fit the user’s request.
If the user requests a "dashboard," first call the search tool and then generate a variety of document types individually, with absolutely a minimum of 20 documents
with two stacks of flashcards that are small and it should have a couple nested freeform collections of things, each with different content and color schemes.
For example, create multiple individual documents, including ${Object.keys(documentTypesInfo)
.map(t => '"' + t + '"')
.join(',')}
If the "doc_type" parameter is missing, set it to an empty string ("").
Use Decks instead of Flashcards for dashboards. Decks should have at least three flashcards.
Really think about what documents are useful to the user. If they ask for a dashboard about the skeletal system, include flashcards, as they would be helpful.
Arrange the documents in a grid layout, ensuring that the x and y coordinates are calculated so no documents overlap but they should be directly next to each other with 20 padding in between.
Take into account the width and height of each document, spacing them appropriately to prevent collisions.
Use a systematic approach, such as placing each document in a grid cell based on its order, where cell dimensions match the document dimensions plus a fixed margin for spacing.
Do not nest all documents within a single collection unless explicitly requested by the user.
Instead, create a set of independent documents with diverse document types. Each type should appear separately unless specified otherwise.
Use the "data" parameter for document content and include title, color, and document dimensions.
Ensure web documents use URLs from the search tool if relevant. Each document in a dashboard should be unique and well-differentiated in type and content,
without repetition of similar types in any single collection.
When creating a dashboard, ensure that it consists of a broad range of document types.
Include a variety of documents, such as text, web, deck, comparison, image, and equation documents,
each with distinct titles and colors, following the user’s preferences.
Do not overuse collections or nest all document types within a single collection; instead, represent document types individually. Use this example for reference:
${finalJsonString} .
Which documents are created should be random with different numbers of each document type and different for each dashboard.
Must use search tool before creating a dashboard.`,
parameterRules: createDocToolParams,
citationRules: 'No citation needed.',
};
// Tool class for creating documents
export class CreateDocTool extends BaseTool<
{
name: string;
type: 'string' | 'number' | 'boolean' | 'string[]' | 'number[]';
description: string;
required: boolean;
}[]
> {
private _addLinkedDoc: (doc: parsedDoc) => void;
constructor(addLinkedDoc: (doc: parsedDoc) => void) {
super(createDocToolInfo);
this._addLinkedDoc = addLinkedDoc;
}
override inputValidator(inputParam: ParametersType<readonly Parameter[]>) {
return !!inputParam.data;
}
// Executes the tool logic for creating documents
async execute(
args: ParametersType<
{
name: 'string';
type: 'string' | 'number' | 'boolean' | 'string[]' | 'number[]';
description: 'string';
required: boolean;
}[]
>
): Promise<Observation[]> {
try {
const parsedDocs = args instanceof Array ? args : Object.keys(args).length === 1 && 'data' in args ? JSON.parse(args.data as string) : [args];
parsedDocs.forEach((pdoc: parsedDoc) => this._addLinkedDoc({ ...pdoc, _layout_fitWidth: false, _layout_autoHeight: true }));
return [{ type: 'text', text: 'Created document.' }];
} catch (error) {
return [{ type: 'text', text: 'Error creating text document, ' + error }];
}
}
}
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