mirror of
https://github.com/gristlabs/grist-core.git
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0be858c19d
This adds an ASSISTANT_CHAT_COMPLETION_ENDPOINT which can be used to enable AI Assistance instead of an OpenAI API key. The assistant then works against compatible endpoints, in the mechanical sense. Quality of course will depend on the model. I found some tweaks to the prompt that work well both for Llama-2 and for OpenAI's models, but I'm not including them here because they would conflict with some prompt changes that are already in the works. Co-authored-by: Alex Hall <alex.mojaki@gmail.com>
1311 lines
42 KiB
TypeScript
1311 lines
42 KiB
TypeScript
import * as commands from 'app/client/components/commands';
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import {GristDoc} from 'app/client/components/GristDoc';
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import {makeT} from 'app/client/lib/localization';
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import {localStorageBoolObs} from 'app/client/lib/localStorageObs';
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import {movable} from 'app/client/lib/popupUtils';
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import {logTelemetryEvent} from 'app/client/lib/telemetry';
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import {ColumnRec, ViewFieldRec} from 'app/client/models/DocModel';
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import {ChatMessage} from 'app/client/models/entities/ColumnRec';
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import {HAS_FORMULA_ASSISTANT, WHICH_FORMULA_ASSISTANT} from 'app/client/models/features';
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import {getLoginOrSignupUrl, urlState} from 'app/client/models/gristUrlState';
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import {buildHighlightedCode} from 'app/client/ui/CodeHighlight';
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import {autoGrow} from 'app/client/ui/forms';
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import {sanitizeHTML} from 'app/client/ui/sanitizeHTML';
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import {createUserImage} from 'app/client/ui/UserImage';
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import {basicButton, bigPrimaryButtonLink, primaryButton} from 'app/client/ui2018/buttons';
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import {theme, vars} from 'app/client/ui2018/cssVars';
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import {icon} from 'app/client/ui2018/icons';
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import {cssLink} from 'app/client/ui2018/links';
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import {loadingDots} from 'app/client/ui2018/loaders';
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import {menu, menuCssClass, menuItem} from 'app/client/ui2018/menus';
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import {FormulaEditor} from 'app/client/widgets/FormulaEditor';
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import {AssistanceResponse, AssistanceState, FormulaAssistanceContext} from 'app/common/AssistancePrompts';
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import {commonUrls} from 'app/common/gristUrls';
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import {TelemetryEvent, TelemetryMetadata} from 'app/common/Telemetry';
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import {getGristConfig} from 'app/common/urlUtils';
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import {Computed, Disposable, dom, DomElementArg, makeTestId, MutableObsArray,
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obsArray, Observable, styled, subscribeElem} from 'grainjs';
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import debounce from 'lodash/debounce';
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import noop from 'lodash/noop';
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import {marked} from 'marked';
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import {v4 as uuidv4} from 'uuid';
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const t = makeT('FormulaEditor');
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const testId = makeTestId('test-formula-editor-');
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/**
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* An extension or the FormulaEditor that provides assistance for writing formulas.
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* It renders itself in the detached FormulaEditor and adds some extra UI elements.
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* - Save button: a subscription for the Enter key that saves the formula and closes the assistant.
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* - Preview button: a new functionality that allows to preview the formula in a temporary column.
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* - Cancel button: a subscription for the Escape key that discards all changes and closes the assistant.
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* - A chat component: that allows to communicate with the assistant.
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*/
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export class FormulaAssistant extends Disposable {
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private _gristDoc = this._options.gristDoc;
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/** Chat component */
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private _chat: ChatHistory;
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/** State of the user input */
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private _userInput = Observable.create(this, '');
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/** Dom element that holds the user input */
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// TODO: move it to a separate component
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private _input: HTMLTextAreaElement;
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/** Is the formula assistant expanded */
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private _assistantExpanded = this.autoDispose(localStorageBoolObs(
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`u:${this._options.gristDoc.appModel.currentUser?.id ?? 0};formulaAssistantExpanded`, true));
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/** Is the request pending */
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private _waiting = Observable.create(this, false);
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/** Is assistant features are enabled */
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private _assistantEnabled: boolean;
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/** Preview column ref */
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private _transformColRef: string;
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/** Preview column id */
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private _transformColId: string;
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/** Method to invoke when we are closed, it saves or reverts */
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private _triggerFinalize: (() => void) = noop;
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/** What action button was clicked, by default close without saving */
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private _action: 'save' | 'cancel' | 'close' = 'close';
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// Our dom element (used for resizing).
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private _domElement: HTMLElement;
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// Input wrapper element (used for resizing).
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private _inputWrapper: HTMLElement;
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/** Chat panel body element. */
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private _chatPanelBody: HTMLElement;
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/** Client height of the chat panel body element. */
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private _chatPanelBodyClientHeight = Observable.create<number>(this, 0);
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/** Set to true once the panel has been expanded (including by default). */
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private _hasExpanded = false;
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/**
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* Last known height of the chat panel.
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*
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* This is like `_chatPanelBodyClientHeight`, but updated only for the purposes of
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* being able to collapse and expand the panel to a known height.
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*/
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private _lastChatPanelHeight: number|undefined;
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/** True if the chat panel is being resized via dragging. */
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private _isResizing = Observable.create(this, false);
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/**
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* Debounced version of the method that will force parent editor to resize, we call it often
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* as we have an ability to resize the chat window.
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*/
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private _resizeEditor = debounce(() => {
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if (!this.isDisposed()) {
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this._options.editor.resize();
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}
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}, 10);
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constructor(private _options: {
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column: ColumnRec,
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field?: ViewFieldRec,
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gristDoc: GristDoc,
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editor: FormulaEditor
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}) {
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super();
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this._assistantEnabled = HAS_FORMULA_ASSISTANT();
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if (!this._options.field) {
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// TODO: field is not passed only for rules (as there is no preview there available to the user yet)
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// this should be implemented but it requires creating a helper column to helper column and we don't
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// have infrastructure for that yet.
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throw new Error('Formula assistant requires a field to be passed.');
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}
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this._chat = ChatHistory.create(this, {
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...this._options,
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apply: this._apply.bind(this),
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logTelemetryEvent: this._logTelemetryEvent.bind(this),
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});
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this.autoDispose(commands.createGroup({
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activateAssistant: () => {
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this._expandChatPanel();
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setTimeout(() => {
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this._focusChatInput();
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}, 0);
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}
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}, this, true));
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// Unfortunately we need to observe the size of the formula editor dom and resize it accordingly.
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const observer = new ResizeObserver(this._resizeEditor);
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observer.observe(this._options.editor.getDom());
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this.onDispose(() => observer.disconnect());
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// Start bundling all actions from this moment on and close the editor as soon,
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// as user tries to do something different.
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const bundleInfo = this._options.gristDoc.docData.startBundlingActions({
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description: 'Formula Editor',
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prepare: () => this._preparePreview(),
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finalize: () => this._cleanupPreview(),
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shouldIncludeInBundle: (actions) => {
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if (actions.length !== 1) { return false; }
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const actionName = actions[0][0];
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if (actionName === 'ModifyColumn') {
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const tableId = this._options.column.table.peek().tableId.peek();
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return actions[0][1] === tableId
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&& typeof actions[0][2] === 'string'
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&& [this._transformColId, this._options.column.id.peek()].includes(actions[0][2]);
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} else if (actionName === 'UpdateRecord') {
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return actions[0][1] === '_grist_Tables_column' && actions[0][2] === this._transformColRef;
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} else {
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return false;
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}
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}
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});
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this._triggerFinalize = bundleInfo.triggerFinalize;
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this.onDispose(() => {
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if (this._hasExpanded) {
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this._logTelemetryEvent('assistantClose', false, {
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suggestionApplied: this._chat.conversationSuggestedFormulas.get()
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.includes(this._options.column.formula.peek()),
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conversationLength: this._chat.conversationLength.get(),
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conversationHistoryLength: this._chat.conversationHistoryLength.get(),
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});
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}
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// This will be noop if already called.
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this._triggerFinalize();
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});
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}
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// The main dom added to the editor and the bottom (3 buttons and chat window).
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public buildDom() {
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// When the tools are resized, resize the editor.
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const observer = new ResizeObserver(this._resizeEditor);
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this._domElement = cssTools(
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(el) => observer.observe(el),
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dom.onDispose(() => observer.disconnect()),
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cssButtons(
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basicButton(t('Cancel'), dom.on('click', () => {
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this._cancel();
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}), testId('cancel-button')),
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basicButton(t('Preview'), dom.on('click', async () => {
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await this._preview();
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}), testId('preview-button')),
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primaryButton(t('Save'), dom.on('click', () => {
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this._saveOrClose();
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}), testId('save-button')),
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),
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this._buildChatPanel(),
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);
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if (this._assistantEnabled) {
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if (!this._assistantExpanded.get()) {
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this._chatPanelBody.style.setProperty('height', '0px');
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} else {
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// The actual height doesn't matter too much here, so we just pick
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// a value that guarantees the assistant will fill as much of the
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// available space as possible.
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this._chatPanelBody.style.setProperty('height', '999px');
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}
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}
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if (this._assistantEnabled && this._assistantExpanded.get()) {
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this._logTelemetryEvent('assistantOpen', true);
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this._hasExpanded = true;
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}
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return this._domElement;
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}
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private _buildChatPanel() {
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return dom.maybe(this._assistantEnabled, () => {
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return cssChatPanel(
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cssChatPanelHeaderResizer(
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movable({
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onStart: this._onResizeStart.bind(this),
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onMove: this._onResizeMove.bind(this),
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onEnd: this._onResizeEnd.bind(this),
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}),
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cssChatPanelHeaderResizer.cls('-collapsed', use => !use(this._assistantExpanded)),
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),
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this._buildChatPanelHeader(),
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this._buildChatPanelBody(),
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);
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});
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}
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private _logTelemetryEvent(event: TelemetryEvent, includeContext = false, metadata: TelemetryMetadata = {}) {
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logTelemetryEvent(event, {
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full: {
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docIdDigest: this._gristDoc.docId,
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conversationId: this._chat.conversationId.get(),
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...(!includeContext ? {} : {context: {
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type: 'formula',
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tableId: this._options.column.table.peek().tableId.peek(),
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colId: this._options.column.colId.peek(),
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} as FormulaAssistanceContext}),
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...metadata,
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},
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});
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}
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private _buildChatPanelHeader() {
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return cssChatPanelHeader(
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cssChatPanelHeaderTitle(
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icon('Robot'),
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t('AI Assistant'),
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),
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cssChatPanelHeaderButtons(
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cssChatPanelHeaderButton(
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dom.domComputed(this._assistantExpanded, isExpanded => isExpanded
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? icon('Dropdown') : icon('DropdownUp')),
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dom.on('click', () => {
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if (this._assistantExpanded.get()) {
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this._collapseChatPanel();
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} else {
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this._expandChatPanel();
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}
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}),
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testId('ai-assistant-expand-collapse'),
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),
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cssChatPanelHeaderButton(
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icon('Dots'),
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menu(() => [
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menuItem(
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() => this._clear(),
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t('Clear Conversation'),
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testId('ai-assistant-options-clear-conversation'),
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),
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], {menuCssClass: menuCssClass + ' ' + cssChatOptionsMenu.className}),
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testId('ai-assistant-options'),
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),
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),
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);
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}
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private _buildChatPanelBody() {
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setTimeout(() => {
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if (!this.isDisposed()) {
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// Scroll to the bottom of the chat right after it is rendered without the animation.
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this._chat.scrollDown(false);
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}
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this._options.editor.resize();
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}, 0);
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const observer = new ResizeObserver(() => {
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// Keep track of changes to the chat panel body height; its children need to know it to adjust
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// their max heights accordingly.
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this._chatPanelBodyClientHeight.set(this._chatPanelBody.clientHeight);
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});
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this._chatPanelBody = cssChatPanelBody(
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dom.onDispose(() => observer.disconnect()),
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testId('ai-assistant-chat-panel'),
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this._chat.buildDom(),
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this._gristDoc.appModel.currentValidUser ? this._buildChatInput() : this._buildSignupNudge(),
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cssChatPanelBody.cls('-resizing', this._isResizing),
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// Stop propagation of mousedown events, as the formula editor will still focus.
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dom.on('mousedown', (ev) => ev.stopPropagation()),
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);
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observer.observe(this._chatPanelBody);
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return this._chatPanelBody;
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}
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/**
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* Save button handler. We just store the action and wait for the bundler to finalize.
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*/
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private _saveOrClose() {
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if (this._hasExpanded) {
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this._logTelemetryEvent('assistantSave', true, {
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oldFormula: this._options.column.formula.peek(),
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newFormula: this._options.editor.getTextValue(),
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});
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}
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this._action = 'save';
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this._triggerFinalize();
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}
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/**
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* Cancel button handler.
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*/
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private _cancel() {
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if (this._hasExpanded) {
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this._logTelemetryEvent('assistantCancel', true);
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}
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this._action = 'cancel';
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this._triggerFinalize();
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}
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/**
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* Preview button handler.
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*/
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private async _preview() {
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const tableId = this._options.column.table.peek().tableId.peek();
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const formula = this._options.editor.getCellValue();
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const isFormula = true;
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await this._options.gristDoc.docData.sendAction(
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['ModifyColumn', tableId, this._transformColId, {formula, isFormula}
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]);
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if (!this.isDisposed()) {
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this._options.editor.focus();
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}
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}
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private async _preparePreview() {
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const docData = this._options.gristDoc.docData;
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const tableId = this._options.column.table.peek().tableId.peek();
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// Add a new column to the table, and set it as the transform column.
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const {colRef, colId} = await docData.sendAction(['AddColumn', tableId, 'gristHelper_Transform', {
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type: this._options.column.type.peek(),
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label: this._options.column.colId.peek(),
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isFormula: true,
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formula: this._options.column.formula.peek(),
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widgetOptions: JSON.stringify(this._options.field?.widgetOptionsJson()),
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}]);
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this._transformColRef = colRef;
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this._transformColId = colId;
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const rules = this._options.field?.rulesList();
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if (rules) {
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await docData.sendAction(['UpdateRecord', '_grist_Tables_column', colRef, {
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rules: this._options.field?.rulesList(),
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}]);
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}
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this._options.field?.colRef(colRef); // Don't save, it is only in browser.
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// Update the transform column so that it points to the original column.
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const transformColumn = this._options.field?.column.peek();
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if (transformColumn) {
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transformColumn.isTransforming(true);
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this._options.column.isTransforming(true);
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transformColumn.origColRef(this._options.column.getRowId()); // Don't save
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}
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}
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private async _cleanupPreview() {
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// Mark that we did finalize already.
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this._triggerFinalize = noop;
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const docData = this._options.gristDoc.docData;
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const tableId = this._options.column.table.peek().tableId.peek();
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const column = this._options.column;
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try {
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if (this._action === 'save') {
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const formula = this._options.editor.getCellValue();
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// Modify column right away, so that it looks smoother on the ui, when we
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// switch the column for the field.
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await docData.sendActions([
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['ModifyColumn', tableId, column.colId.peek(), { formula, isFormula: true}],
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]);
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}
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// Switch the column for the field, this isn't sending any actions, we are just restoring it to what it is
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// in database. But now the column has already correct data as it was already calculated.
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this._options.field?.colRef(column.getRowId());
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// Now trigger the action in our owner that should dispose us. The save
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// method will be no op if we saved anything.
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if (this._action === 'save') {
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commands.allCommands.fieldEditSaveHere.run();
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} else if (this._action === 'cancel') {
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commands.allCommands.fieldEditCancel.run();
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} else {
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if (this._action !== 'close') {
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throw new Error('Unexpected value for _action');
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}
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if (!this.isDisposed()) {
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commands.allCommands.fieldEditCancel.run();
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}
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}
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await docData.sendActions([
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['RemoveColumn', tableId, this._transformColId]
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]);
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} finally {
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// Repeat the change, in case of an error.
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this._options.field?.colRef(column.getRowId());
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column.isTransforming(false);
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}
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}
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private _collapseChatPanel() {
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this._assistantExpanded.set(false);
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// The panel's height and client height may differ; to ensure the collapse transition
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// appears linear, temporarily disable the transition and sync the height and client
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// height.
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this._chatPanelBody.style.setProperty('transition', 'none');
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this._chatPanelBody.style.setProperty('height', `${this._chatPanelBody.clientHeight}px`);
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// eslint-disable-next-line no-unused-expressions
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this._chatPanelBody.offsetHeight; // Flush CSS changes.
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this._chatPanelBody.style.removeProperty('transition');
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this._chatPanelBody.style.setProperty('height', '0px');
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this._resizeEditor();
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}
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private _expandChatPanel() {
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if (!this._hasExpanded) {
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this._logTelemetryEvent('assistantOpen', true);
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this._hasExpanded = true;
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}
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this._assistantExpanded.set(true);
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const editor = this._options.editor.getDom();
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let availableSpace = editor.clientHeight - MIN_FORMULA_EDITOR_HEIGHT_PX
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- FORMULA_EDITOR_BUTTONS_HEIGHT_PX - CHAT_PANEL_HEADER_HEIGHT_PX;
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if (editor.querySelector('.error_msg')) {
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availableSpace -= editor.querySelector('.error_msg')!.clientHeight;
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}
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if (editor.querySelector('.error_details')) {
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availableSpace -= editor.querySelector('.error_details')!.clientHeight;
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}
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if (this._lastChatPanelHeight) {
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const height = Math.min(Math.max(this._lastChatPanelHeight, 220), availableSpace);
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this._chatPanelBody.style.setProperty('height', `${height}px`);
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this._lastChatPanelHeight = height;
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} else {
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this._lastChatPanelHeight = availableSpace;
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this._chatPanelBody.style.setProperty('height', `${this._lastChatPanelHeight}px`);
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}
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this._resizeEditor();
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}
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private _onResizeStart() {
|
|
this._isResizing.set(true);
|
|
const start = this._domElement?.clientHeight;
|
|
const total = this._options.editor.getDom().clientHeight;
|
|
return {
|
|
start, total
|
|
};
|
|
}
|
|
|
|
/**
|
|
* Resize handler for the chat window.
|
|
*/
|
|
private _onResizeMove(x: number, y: number, {start, total}: {start: number, total: number}): void {
|
|
// The y axis includes the panel header and formula editor buttons; excluded them from the
|
|
// new height of the panel body.
|
|
const newChatPanelBodyHeight = start - y - CHAT_PANEL_HEADER_HEIGHT_PX - FORMULA_EDITOR_BUTTONS_HEIGHT_PX;
|
|
|
|
// Toggle `_isResizing` whenever the new panel body height crosses the threshold for the minimum
|
|
// height. As of now, the sole purpose of this observable is to control when the animation for
|
|
// expanding and collapsing is shown.
|
|
if (newChatPanelBodyHeight < MIN_CHAT_PANEL_BODY_HEIGHT_PX && this._isResizing.get()) {
|
|
this._isResizing.set(false);
|
|
} else if (newChatPanelBodyHeight >= MIN_CHAT_PANEL_BODY_HEIGHT_PX && !this._isResizing.get()) {
|
|
this._isResizing.set(true);
|
|
}
|
|
|
|
const collapseThreshold = 78;
|
|
if (newChatPanelBodyHeight < collapseThreshold) {
|
|
if (this._assistantExpanded.get()) {
|
|
this._collapseChatPanel();
|
|
}
|
|
} else {
|
|
if (!this._assistantExpanded.get()) {
|
|
this._expandChatPanel();
|
|
}
|
|
const calculatedHeight = Math.max(
|
|
MIN_CHAT_PANEL_BODY_HEIGHT_PX,
|
|
Math.min(total - MIN_FORMULA_EDITOR_HEIGHT_PX, newChatPanelBodyHeight)
|
|
);
|
|
this._chatPanelBody.style.height = `${calculatedHeight}px`;
|
|
}
|
|
}
|
|
|
|
private _onResizeEnd() {
|
|
this._isResizing.set(false);
|
|
if (this._assistantExpanded.get()) {
|
|
this._lastChatPanelHeight = this._chatPanelBody.clientHeight;
|
|
}
|
|
}
|
|
/**
|
|
* Builds the chat input at the bottom of the chat.
|
|
*/
|
|
private _buildChatInput() {
|
|
// Make sure we dispose the previous input.
|
|
if (this._input) {
|
|
dom.domDispose(this._input);
|
|
}
|
|
|
|
// Input is created by hand, as we need a finer control of the user input than what is available
|
|
// in generic textInput control.
|
|
this._input = cssInput(
|
|
dom.on('input', (ev: Event) => {
|
|
this._userInput.set((ev.target as HTMLInputElement).value);
|
|
}),
|
|
autoGrow(this._userInput),
|
|
dom.style('max-height', use => {
|
|
// Set an upper bound on the height the input can grow to, so that when the chat panel
|
|
// is resized, the input is automatically resized to fit and doesn't overflow.
|
|
const panelHeight = use(this._chatPanelBodyClientHeight);
|
|
// The available input height is computed by taking the the panel height, and subtracting
|
|
// the heights of all the other elements (except for the input).
|
|
const availableInputHeight = panelHeight -
|
|
((this._inputWrapper?.clientHeight ?? 0) - (this._input?.clientHeight ?? 0)) -
|
|
MIN_CHAT_HISTORY_HEIGHT_PX;
|
|
return `${Math.max(availableInputHeight, MIN_CHAT_INPUT_HEIGHT_PX)}px`;
|
|
}),
|
|
dom.onKeyDown({
|
|
Enter$: (ev) => this._handleChatEnterKeyDown(ev),
|
|
Escape: () => this._cancel(),
|
|
}),
|
|
dom.autoDispose(this._userInput.addListener(value => this._input.value = value)),
|
|
dom.prop('disabled', this._waiting),
|
|
dom.prop('placeholder', use => {
|
|
const lastFormula = use(this._chat.lastSuggestedFormula);
|
|
if (lastFormula) {
|
|
return t('Press Enter to apply suggested formula.');
|
|
} else {
|
|
return t('What do you need help with?');
|
|
}
|
|
}),
|
|
dom.autoDispose(this._waiting.addListener(value => {
|
|
if (!value) {
|
|
setTimeout(() => this._focusChatInput(), 0);
|
|
}
|
|
})),
|
|
);
|
|
|
|
return this._inputWrapper = cssHContainer(
|
|
testId('ai-assistant-chat-input'),
|
|
dom.cls(cssTopBorder.className),
|
|
dom.cls(cssVSpace.className),
|
|
cssInputWrapper(
|
|
dom.cls(cssTypography.className),
|
|
this._input,
|
|
cssInputButtonsRow(
|
|
cssSendMessageButton(
|
|
icon('FieldAny'),
|
|
dom.on('click', this._handleSendMessageClick.bind(this)),
|
|
cssSendMessageButton.cls('-disabled', use =>
|
|
use(this._waiting) || use(this._userInput).length === 0
|
|
),
|
|
),
|
|
dom.on('click', (ev) => {
|
|
ev.stopPropagation();
|
|
this._focusChatInput();
|
|
}),
|
|
cssInputButtonsRow.cls('-disabled', this._waiting),
|
|
),
|
|
cssInputWrapper.cls('-disabled', this._waiting),
|
|
),
|
|
);
|
|
}
|
|
|
|
/**
|
|
* Builds the signup nudge shown to anonymous users at the bottom of the chat.
|
|
*/
|
|
private _buildSignupNudge() {
|
|
const {deploymentType} = getGristConfig();
|
|
return deploymentType === 'saas' ? buildSignupNudge() : buildAnonNudge();
|
|
}
|
|
|
|
private async _handleChatEnterKeyDown(ev: KeyboardEvent) {
|
|
// If shift is pressed, we want to insert a new line.
|
|
if (ev.shiftKey) { return; }
|
|
|
|
ev.preventDefault();
|
|
const lastFormula = this._chat.lastSuggestedFormula.get();
|
|
if (this._input.value === '' && lastFormula) {
|
|
this._apply(lastFormula).catch(reportError);
|
|
} else {
|
|
this._ask().catch(reportError);
|
|
}
|
|
}
|
|
|
|
private async _handleSendMessageClick(ev: MouseEvent) {
|
|
if (this._waiting.get() || this._input.value.length === 0) { return; }
|
|
|
|
await this._ask();
|
|
}
|
|
|
|
private async _apply(formula: string) {
|
|
this._options.editor.setFormula(formula);
|
|
this._resizeEditor();
|
|
await this._preview();
|
|
}
|
|
|
|
private async _sendMessage(description: string): Promise<ChatMessage> {
|
|
// Destruct options.
|
|
const {column, gristDoc} = this._options;
|
|
// Get the state of the chat from the column.
|
|
const conversationId = this._chat.conversationId.get();
|
|
const prevState = column.chatHistory.peek().get().state;
|
|
const {reply, suggestedActions, suggestedFormula, state} = await askAI(gristDoc, {
|
|
conversationId,
|
|
column,
|
|
description,
|
|
state: prevState,
|
|
});
|
|
console.debug('received formula assistant response: ', {suggestedActions, suggestedFormula, reply, state});
|
|
// If back-end is capable of conversation, keep its state.
|
|
const chatHistoryNew = column.chatHistory.peek();
|
|
const value = chatHistoryNew.get();
|
|
value.state = state;
|
|
// If model has a conversational skills (and maintains a history), we might get actually
|
|
// some markdown text back, so we need to parse it.
|
|
const prettyMessage = state ? (reply || suggestedFormula || '') : (suggestedFormula || reply || '');
|
|
// Add it to the chat.
|
|
return {
|
|
message: prettyMessage,
|
|
formula: suggestedFormula,
|
|
action: suggestedActions[0],
|
|
sender: 'ai',
|
|
};
|
|
}
|
|
|
|
private _focusChatInput() {
|
|
if (!this._input) { return; }
|
|
|
|
this._input.focus();
|
|
if (this._input.value.length > 0) {
|
|
// Make sure focus moves to the last character.
|
|
this._input.selectionStart = this._input.value.length;
|
|
this._input.scrollTop = this._input.scrollHeight;
|
|
}
|
|
}
|
|
|
|
private _clear() {
|
|
this._chat.clear();
|
|
this._userInput.set('');
|
|
}
|
|
|
|
private async _ask() {
|
|
if (this._waiting.get()) {
|
|
return;
|
|
}
|
|
const message = this._userInput.get();
|
|
if (!message) { return; }
|
|
this._chat.addQuestion(message);
|
|
this._userInput.set('');
|
|
await this._doAsk(message);
|
|
}
|
|
|
|
private async _doAsk(message: string) {
|
|
this._chat.thinking();
|
|
this._waiting.set(true);
|
|
try {
|
|
const response = await this._sendMessage(message);
|
|
this._chat.addResponse(response);
|
|
} catch(err) {
|
|
this._chat.thinking(false);
|
|
throw err;
|
|
} finally {
|
|
this._waiting.set(false);
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* A model for the chat panel. It is responsible for keeping the history of the chat and
|
|
* sending messages to the AI.
|
|
*/
|
|
class ChatHistory extends Disposable {
|
|
public conversationId: Observable<string>;
|
|
public conversation: MutableObsArray<ChatMessage>;
|
|
public conversationHistory: MutableObsArray<ChatMessage>;
|
|
public conversationLength: Computed<number>;
|
|
public conversationHistoryLength: Computed<number>;
|
|
public conversationSuggestedFormulas: Computed<string[]>;
|
|
public lastSuggestedFormula: Computed<string|null>;
|
|
|
|
private _element: HTMLElement;
|
|
|
|
constructor(private _options: {
|
|
column: ColumnRec,
|
|
gristDoc: GristDoc,
|
|
apply: (formula: string) => void,
|
|
logTelemetryEvent: (event: TelemetryEvent, includeContext?: boolean, metadata?: TelemetryMetadata) => void,
|
|
}) {
|
|
super();
|
|
|
|
const column = this._options.column;
|
|
let conversationId = column.chatHistory.peek().get().conversationId;
|
|
if (!conversationId) {
|
|
conversationId = uuidv4();
|
|
const chatHistory = column.chatHistory.peek();
|
|
chatHistory.set({...chatHistory.get(), conversationId});
|
|
}
|
|
this.conversationId = Observable.create(this, conversationId);
|
|
this.autoDispose(this.conversationId.addListener((newConversationId) => {
|
|
// If a new conversation id was generated (e.g. on Clear Conversation), save it
|
|
// to the column's history.
|
|
const chatHistory = column.chatHistory.peek();
|
|
chatHistory.set({...chatHistory.get(), conversationId: newConversationId});
|
|
}));
|
|
|
|
// Create observable array of messages that is connected to the column's chatHistory.
|
|
this.conversationHistory = this.autoDispose(obsArray(column.chatHistory.peek().get().messages));
|
|
this.autoDispose(this.conversationHistory.addListener((cur) => {
|
|
const chatHistory = column.chatHistory.peek();
|
|
chatHistory.set({...chatHistory.get(), messages: [...cur]});
|
|
}));
|
|
this.conversation = this.autoDispose(obsArray());
|
|
|
|
this.conversationHistoryLength = Computed.create(this, use => use(this.conversationHistory).length);
|
|
this.conversationLength = Computed.create(this, use => use(this.conversation).length);
|
|
|
|
this.conversationSuggestedFormulas = Computed.create(this, use => {
|
|
return use(this.conversation)
|
|
.map(({formula}) => formula)
|
|
.filter((formula): formula is string => Boolean(formula));
|
|
});
|
|
this.lastSuggestedFormula = Computed.create(this, use => {
|
|
return [...use(this.conversationHistory)].reverse().find(({formula}) => formula)?.formula ?? null;
|
|
});
|
|
}
|
|
|
|
public thinking(on = true) {
|
|
if (!on) {
|
|
// Find all index of all thinking messages.
|
|
const messages = [...this.conversationHistory.get()].filter(m => m.message === '...');
|
|
// Remove all thinking messages.
|
|
for (const message of messages) {
|
|
this.conversationHistory.splice(this.conversationHistory.get().indexOf(message), 1);
|
|
}
|
|
} else {
|
|
this.conversationHistory.push({
|
|
message: '...',
|
|
sender: 'ai',
|
|
});
|
|
this.scrollDown();
|
|
}
|
|
}
|
|
|
|
public supportsMarkdown() {
|
|
return this._options.column.chatHistory.peek().get().state !== undefined;
|
|
}
|
|
|
|
public addResponse(message: ChatMessage) {
|
|
// Clear any thinking from messages.
|
|
this.thinking(false);
|
|
const entry: ChatMessage = {...message, sender: 'ai'};
|
|
this.conversationHistory.push(entry);
|
|
this.conversation.push(entry);
|
|
this.scrollDown();
|
|
}
|
|
|
|
public addQuestion(message: string) {
|
|
this.thinking(false);
|
|
const entry: ChatMessage = {message, sender: 'user'};
|
|
this.conversationHistory.push(entry);
|
|
this.conversation.push(entry);
|
|
}
|
|
|
|
public lastQuestion() {
|
|
const list = this.conversationHistory.get();
|
|
if (list.length === 0) {
|
|
return null;
|
|
}
|
|
const lastMessage = list[list.length - 1];
|
|
if (lastMessage?.sender === 'user') {
|
|
return lastMessage.message;
|
|
}
|
|
throw new Error('No last question found');
|
|
}
|
|
|
|
public removeLastResponse() {
|
|
const lastMessage = this.conversationHistory.get()[this.conversationHistory.get().length - 1];
|
|
if (lastMessage?.sender === 'ai') {
|
|
this.conversationHistory.pop();
|
|
}
|
|
}
|
|
|
|
public clear() {
|
|
this._options.logTelemetryEvent('assistantClearConversation', true);
|
|
this.conversationId.set(uuidv4());
|
|
this.conversationHistory.set([]);
|
|
const {column} = this._options;
|
|
// Get the state of the chat from the column.
|
|
const prevState = column.chatHistory.peek().get();
|
|
prevState.state = undefined;
|
|
}
|
|
|
|
public scrollDown(smooth = true) {
|
|
this._element.scroll({
|
|
top: 99999,
|
|
behavior: smooth ? 'smooth' : 'auto'
|
|
});
|
|
}
|
|
|
|
public buildDom() {
|
|
return this._element = cssHistory(
|
|
this._buildIntroMessage(),
|
|
dom.forEach(this.conversationHistory, entry => {
|
|
if (entry.sender === 'user') {
|
|
return cssMessage(
|
|
dom('span',
|
|
dom.text(entry.message),
|
|
testId('ai-assistant-message-user'),
|
|
testId('ai-assistant-message'),
|
|
),
|
|
cssAvatar(buildAvatar(this._options.gristDoc)),
|
|
);
|
|
} else {
|
|
return dom('div',
|
|
cssAiMessage(
|
|
cssAvatar(cssAiImage()),
|
|
entry.message === '...' ? cssLoadingDots() :
|
|
this._render(entry.message,
|
|
dom.cls('formula-assistant-message'),
|
|
testId('ai-assistant-message-ai'),
|
|
testId('ai-assistant-message'),
|
|
),
|
|
),
|
|
cssAiMessageButtonsRow(
|
|
cssAiMessageButtons(
|
|
primaryButton(t('Apply'), dom.on('click', () => {
|
|
this._options.apply(entry.formula!);
|
|
})),
|
|
),
|
|
dom.show(Boolean(entry.formula)),
|
|
),
|
|
);
|
|
}
|
|
}),
|
|
);
|
|
}
|
|
|
|
private _buildIntroMessage() {
|
|
return cssAiIntroMessage(
|
|
cssAvatar(cssAiImage()),
|
|
dom('div',
|
|
cssAiMessageParagraph(t(`Hi, I'm the Grist Formula AI Assistant.`)),
|
|
cssAiMessageParagraph(t(`There are some things you should know when working with me:`)),
|
|
cssAiMessageParagraph(
|
|
cssAiMessageBullet(
|
|
cssTickIcon('Tick'),
|
|
t('I can only help with formulas. I cannot build tables, columns, and views, or write access rules.'),
|
|
),
|
|
cssAiMessageBullet(
|
|
cssTickIcon('Tick'),
|
|
t(
|
|
'Talk to me like a person. No need to specify tables and column names. For example, you can ask ' +
|
|
'"Please calculate the total invoice amount."'
|
|
),
|
|
),
|
|
(WHICH_FORMULA_ASSISTANT() === 'OpenAI') ? cssAiMessageBullet(
|
|
cssTickIcon('Tick'),
|
|
dom('div',
|
|
t(
|
|
'When you talk to me, your questions and your document structure (visible in {{codeView}}) ' +
|
|
'are sent to OpenAI. {{learnMore}}.',
|
|
{
|
|
codeView: cssLink(t('Code View'), urlState().setLinkUrl({docPage: 'code'})),
|
|
learnMore: cssLink(t('Learn more'), {href: commonUrls.helpAssistantDataUse, target: '_blank'}),
|
|
}
|
|
),
|
|
),
|
|
) : null,
|
|
),
|
|
cssAiMessageParagraph(
|
|
t(
|
|
'For more help with formulas, check out our {{functionList}} and {{formulaCheatSheet}}, ' +
|
|
'or visit our {{community}} for more help.',
|
|
{
|
|
functionList: cssLink(t('Function List'), {href: commonUrls.functions, target: '_blank'}),
|
|
formulaCheatSheet: cssLink(t('Formula Cheat Sheet'), {href: commonUrls.formulaSheet, target: '_blank'}),
|
|
community: cssLink(t('Community'), {href: commonUrls.community, target: '_blank'}),
|
|
}
|
|
),
|
|
),
|
|
),
|
|
testId('ai-assistant-message-intro'),
|
|
);
|
|
}
|
|
|
|
/**
|
|
* Renders the message as markdown if possible, otherwise as a code block.
|
|
*/
|
|
private _render(message: string, ...args: DomElementArg[]) {
|
|
const doc = this._options.gristDoc;
|
|
if (this.supportsMarkdown()) {
|
|
return dom('div',
|
|
(el) => subscribeElem(el, doc.currentTheme, () => {
|
|
const content = sanitizeHTML(marked(message, {
|
|
highlight: (code) => {
|
|
const codeBlock = buildHighlightedCode(code, {
|
|
gristTheme: doc.currentTheme,
|
|
maxLines: 60,
|
|
});
|
|
return codeBlock.innerHTML;
|
|
},
|
|
}));
|
|
el.innerHTML = content;
|
|
}),
|
|
...args
|
|
);
|
|
} else {
|
|
return buildHighlightedCode(message, {
|
|
gristTheme: doc.currentTheme,
|
|
maxLines: 100,
|
|
});
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Sends the message to the backend and returns the response.
|
|
*/
|
|
async function askAI(grist: GristDoc, options: {
|
|
column: ColumnRec,
|
|
description: string,
|
|
conversationId: string,
|
|
state?: AssistanceState
|
|
}): Promise<AssistanceResponse> {
|
|
const {column, description, conversationId, state} = options;
|
|
const tableId = column.table.peek().tableId.peek();
|
|
const colId = column.colId.peek();
|
|
return await grist.docApi.getAssistance({
|
|
conversationId,
|
|
context: {type: 'formula', tableId, colId},
|
|
text: description,
|
|
state,
|
|
});
|
|
}
|
|
|
|
/** Builds avatar image for user or assistant. */
|
|
function buildAvatar(grist: GristDoc) {
|
|
const user = grist.app.topAppModel.appObs.get()?.currentUser || null;
|
|
if (user) {
|
|
return (createUserImage(user, 'medium'));
|
|
} else {
|
|
// TODO: this will not happen, as this should be only for logged in users.
|
|
return (dom('div', ''));
|
|
}
|
|
}
|
|
|
|
function buildSignupNudge() {
|
|
return cssSignupNudgeWrapper(
|
|
cssSignupNudgeParagraph(
|
|
t('Sign up for a free Grist account to start using the Formula AI Assistant.'),
|
|
),
|
|
cssSignupNudgeButtonsRow(
|
|
bigPrimaryButtonLink(
|
|
t('Sign Up for Free'),
|
|
{href: getLoginOrSignupUrl()},
|
|
testId('ai-assistant-sign-up'),
|
|
),
|
|
),
|
|
);
|
|
}
|
|
|
|
function buildAnonNudge() {
|
|
return cssSignupNudgeWrapper(
|
|
cssSignupNudgeWrapper.cls('-center'),
|
|
cssSignupNudgeParagraph(
|
|
t('Formula AI Assistant is only available for logged in users.'),
|
|
),
|
|
);
|
|
}
|
|
|
|
const MIN_FORMULA_EDITOR_HEIGHT_PX = 100;
|
|
|
|
const FORMULA_EDITOR_BUTTONS_HEIGHT_PX = 42;
|
|
|
|
const MIN_CHAT_HISTORY_HEIGHT_PX = 100;
|
|
|
|
const MIN_CHAT_PANEL_BODY_HEIGHT_PX = 120;
|
|
|
|
const CHAT_PANEL_HEADER_HEIGHT_PX = 30;
|
|
|
|
const MIN_CHAT_INPUT_HEIGHT_PX = 42;
|
|
|
|
const cssChatPanel = styled('div', `
|
|
position: relative;
|
|
display: flex;
|
|
flex-direction: column;
|
|
overflow:hidden;
|
|
flex-grow: 1;
|
|
`);
|
|
|
|
const cssChatPanelHeader = styled('div', `
|
|
display: flex;
|
|
justify-content: space-between;
|
|
align-items: center;
|
|
flex-shrink: 0;
|
|
padding: 0px 8px 0px 8px;
|
|
background-color: ${theme.formulaAssistantHeaderBg};
|
|
height: ${CHAT_PANEL_HEADER_HEIGHT_PX}px;
|
|
border-top: 1px solid ${theme.formulaAssistantBorder};
|
|
border-bottom: 1px solid ${theme.formulaAssistantBorder};
|
|
`);
|
|
|
|
const cssChatPanelHeaderTitle = styled('div', `
|
|
display: flex;
|
|
align-items: center;
|
|
color: ${theme.lightText};
|
|
--icon-color: ${theme.accentIcon};
|
|
column-gap: 8px;
|
|
user-select: none;
|
|
`);
|
|
|
|
const cssChatPanelHeaderButtons = styled('div', `
|
|
display: flex;
|
|
align-items: center;
|
|
column-gap: 8px;
|
|
`);
|
|
|
|
const cssChatPanelHeaderButton = styled('div', `
|
|
--icon-color: ${theme.controlSecondaryFg};
|
|
border-radius: 3px;
|
|
padding: 3px;
|
|
cursor: pointer;
|
|
user-select: none;
|
|
&:hover, &.weasel-popup-open {
|
|
background-color: ${theme.hover};
|
|
}
|
|
`);
|
|
|
|
const cssChatPanelHeaderResizer = styled('div', `
|
|
position: absolute;
|
|
top: -3px;
|
|
height: 7px;
|
|
width: 100%;
|
|
cursor: ns-resize;
|
|
`);
|
|
|
|
const cssChatPanelBody = styled('div', `
|
|
overflow: hidden;
|
|
display: flex;
|
|
flex-direction: column;
|
|
flex-grow: 1;
|
|
transition: height 0.4s;
|
|
|
|
&-resizing {
|
|
transition: unset;
|
|
}
|
|
`);
|
|
|
|
const cssTopBorder = styled('div', `
|
|
border-top: 1px solid ${theme.formulaAssistantBorder};
|
|
`);
|
|
|
|
const cssVSpace = styled('div', `
|
|
padding-top: 18px;
|
|
padding-bottom: 18px;
|
|
`);
|
|
|
|
const cssHContainer = styled('div', `
|
|
margin-top: auto;
|
|
padding-left: 18px;
|
|
padding-right: 18px;
|
|
min-height: ${MIN_CHAT_PANEL_BODY_HEIGHT_PX}px;
|
|
display: flex;
|
|
flex-shrink: 0;
|
|
flex-direction: column;
|
|
`);
|
|
|
|
const cssTypography = styled('div', `
|
|
color: ${theme.inputFg};
|
|
`);
|
|
|
|
const cssHistory = styled('div', `
|
|
overflow: auto;
|
|
display: flex;
|
|
flex-direction: column;
|
|
color: ${theme.inputFg};
|
|
`);
|
|
|
|
const cssInputWrapper = styled('div', `
|
|
display: flex;
|
|
flex-direction: column;
|
|
border: 1px solid ${theme.inputBorder};
|
|
border-radius: 3px;
|
|
align-items: center;
|
|
--icon-color: ${theme.controlSecondaryFg};
|
|
&-disabled {
|
|
background-color: ${theme.inputDisabledBg};
|
|
}
|
|
& > input {
|
|
outline: none;
|
|
padding: 0px;
|
|
align-self: stretch;
|
|
flex: 1;
|
|
border: none;
|
|
background-color: inherit;
|
|
}
|
|
`);
|
|
|
|
const cssMessage = styled('div', `
|
|
display: grid;
|
|
grid-template-columns: 1fr 60px;
|
|
border-top: 1px solid ${theme.formulaAssistantBorder};
|
|
padding: 20px 0px 20px 20px;
|
|
`);
|
|
|
|
const cssAiMessage = styled('div', `
|
|
position: relative;
|
|
display: grid;
|
|
grid-template-columns: 60px 1fr;
|
|
border-top: 1px solid ${theme.formulaAssistantBorder};
|
|
padding: 20px 20px 20px 0px;
|
|
|
|
& pre {
|
|
border: none;
|
|
background: ${theme.formulaAssistantPreformattedTextBg};
|
|
font-size: 10px;
|
|
}
|
|
|
|
& pre .ace-chrome, & pre .ace-dracula {
|
|
background: ${theme.formulaAssistantPreformattedTextBg} !important;
|
|
}
|
|
|
|
& p > code {
|
|
background: #FFFFFF;
|
|
border: 1px solid #E1E4E5;
|
|
color: #333333;
|
|
white-space: pre-wrap;
|
|
word-wrap: break-word;
|
|
}
|
|
`);
|
|
|
|
const cssAiIntroMessage = styled(cssAiMessage, `
|
|
border-top: unset;
|
|
`);
|
|
|
|
const cssAvatar = styled('div', `
|
|
display: flex;
|
|
align-items: flex-start;
|
|
justify-content: center;
|
|
`);
|
|
|
|
const cssAiImage = styled('div', `
|
|
flex: none;
|
|
height: 32px;
|
|
width: 32px;
|
|
border-radius: 50%;
|
|
background-color: white;
|
|
background-image: var(--icon-GristLogo);
|
|
background-size: 22px 22px;
|
|
background-repeat: no-repeat;
|
|
background-position: center;
|
|
`);
|
|
|
|
const cssButtons = styled('div', `
|
|
display: flex;
|
|
justify-content: flex-end;
|
|
gap: 8px;
|
|
padding: 8px;
|
|
`);
|
|
|
|
const cssTools = styled('div._tools_container', `
|
|
display: flex;
|
|
flex-direction: column;
|
|
overflow: hidden;
|
|
`);
|
|
|
|
const cssInputButtonsRow = styled('div', `
|
|
padding-top: 8px;
|
|
width: 100%;
|
|
justify-content: flex-end;
|
|
cursor: text;
|
|
display: flex;
|
|
|
|
&-disabled {
|
|
cursor: default;
|
|
}
|
|
`);
|
|
|
|
const cssSendMessageButton = styled('div', `
|
|
padding: 3px;
|
|
border-radius: 4px;
|
|
align-self: flex-end;
|
|
margin-bottom: 6px;
|
|
margin-right: 6px;
|
|
|
|
&-disabled {
|
|
--icon-color: ${theme.controlSecondaryFg};
|
|
}
|
|
|
|
&:not(&-disabled) {
|
|
cursor: pointer;
|
|
--icon-color: ${theme.controlPrimaryFg};
|
|
color: ${theme.controlPrimaryFg};
|
|
background-color: ${theme.controlPrimaryBg};
|
|
}
|
|
|
|
&:hover:not(&-disabled) {
|
|
background-color: ${theme.controlPrimaryHoverBg};
|
|
}
|
|
`);
|
|
|
|
const cssInput = styled('textarea', `
|
|
border: 0px;
|
|
flex-grow: 1;
|
|
outline: none;
|
|
width: 100%;
|
|
padding: 4px 6px;
|
|
padding-top: 6px;
|
|
resize: none;
|
|
min-height: ${MIN_CHAT_INPUT_HEIGHT_PX}px;
|
|
background: transparent;
|
|
|
|
&:disabled {
|
|
background-color: ${theme.inputDisabledBg};
|
|
color: ${theme.inputDisabledFg};
|
|
}
|
|
|
|
&::placeholder {
|
|
color: ${theme.inputPlaceholderFg};
|
|
}
|
|
`);
|
|
|
|
const cssChatOptionsMenu = styled('div', `
|
|
z-index: ${vars.floatingPopupMenuZIndex};
|
|
`);
|
|
|
|
const cssAiMessageButtonsRow = styled('div', `
|
|
display: flex;
|
|
justify-content: flex-end;
|
|
padding: 8px;
|
|
`);
|
|
|
|
const cssAiMessageButtons = styled('div', `
|
|
display: flex;
|
|
column-gap: 8px;
|
|
`);
|
|
|
|
const cssAiMessageParagraph = styled('div', `
|
|
margin-bottom: 8px;
|
|
`);
|
|
|
|
const cssAiMessageBullet = styled('div', `
|
|
display: flex;
|
|
align-items: flex-start;
|
|
margin-bottom: 6px;
|
|
`);
|
|
|
|
const cssTickIcon = styled(icon, `
|
|
--icon-color: ${theme.accentIcon};
|
|
margin-right: 8px;
|
|
flex-shrink: 0;
|
|
`);
|
|
|
|
const cssLoadingDots = styled(loadingDots, `
|
|
--dot-size: 5px;
|
|
align-items: center;
|
|
`);
|
|
|
|
const cssSignupNudgeWrapper = styled('div', `
|
|
border-top: 1px solid ${theme.formulaAssistantBorder};
|
|
padding: 16px;
|
|
margin-top: auto;
|
|
min-height: ${MIN_CHAT_PANEL_BODY_HEIGHT_PX}px;
|
|
display: flex;
|
|
flex-shrink: 0;
|
|
flex-direction: column;
|
|
&-center {
|
|
display: flex;
|
|
justify-content: center;
|
|
align-items: center;
|
|
}
|
|
`);
|
|
|
|
const cssSignupNudgeParagraph = styled('div', `
|
|
font-size: ${vars.mediumFontSize};
|
|
font-weight: 500;
|
|
margin-bottom: 12px;
|
|
text-align: center;
|
|
`);
|
|
|
|
const cssSignupNudgeButtonsRow = styled('div', `
|
|
display: flex;
|
|
justify-content: center;
|
|
`);
|