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https://github.com/gristlabs/grist-core.git
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(core) move assistant test
Summary: Moves assistant test to core. Fixes new name for constaint. Works around a chai-as-promised issue. Test Plan: this Reviewers: georgegevoian Reviewed By: georgegevoian Differential Revision: https://phab.getgrist.com/D4010
This commit is contained in:
Paul Fitzpatrick
parent
b3a71374d1
commit
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285
test/server/lib/Assistance.ts
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285
test/server/lib/Assistance.ts
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import {createDocTools} from "test/server/docTools";
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import {ActiveDoc} from "app/server/lib/ActiveDoc";
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import {DEPS, OpenAIAssistant, sendForCompletion} from "app/server/lib/Assistance";
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import {assert} from 'chai';
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import * as sinon from 'sinon';
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import {Response} from 'node-fetch';
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import {DocSession} from "app/server/lib/DocSession";
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import {AssistanceState} from "app/common/AssistancePrompts";
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// For some reason, assert.isRejected is not getting defined,
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// though test/chai-as-promised.js should be taking care of this.
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// So test/chai-as-promised.js is just repeated here.
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const chai = require('chai');
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const chaiAsPromised = require('chai-as-promised');
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chai.use(chaiAsPromised);
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describe('Assistance', function () {
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this.timeout(10000);
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const docTools = createDocTools({persistAcrossCases: true});
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const tableId = "Table1";
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let session: DocSession;
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let doc: ActiveDoc;
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before(async () => {
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process.env.OPENAI_API_KEY = "fake";
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session = docTools.createFakeSession();
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doc = await docTools.createDoc('test.grist');
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await doc.applyUserActions(session, [
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["AddTable", tableId, [{id: "A"}, {id: "B"}, {id: "C"}]],
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]);
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});
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const colId = "C";
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const userMessageContent = "Sum of A and B";
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function checkSendForCompletion(state?: AssistanceState) {
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return sendForCompletion(session, doc, {
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conversationId: 'conversationId',
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context: {type: 'formula', tableId, colId},
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state,
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text: userMessageContent,
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});
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}
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let fakeResponse: () => any;
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let fakeFetch: sinon.SinonSpy;
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beforeEach(() => {
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fakeFetch = sinon.fake(() => {
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const body = fakeResponse();
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return new Response(
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JSON.stringify(body),
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{status: body.status},
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);
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});
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sinon.replace(DEPS, 'fetch', fakeFetch as any);
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sinon.replace(DEPS, 'delayTime', 1);
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});
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afterEach(function () {
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sinon.restore();
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});
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function checkModels(expectedModels: string[]) {
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assert.deepEqual(
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fakeFetch.getCalls().map(call => JSON.parse(call.args[1].body).model),
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expectedModels,
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);
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}
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it('can suggest a formula', async function () {
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const reply = "Here's a formula that adds columns A and B:\n\n"
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+ "```python\na = int(rec.A)\nb=int(rec.B)\n\nreturn str(a + b)\n```"
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+ "\n\nLet me know if there's anything else I can help with.";
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const replyMessage = {"role": "assistant", "content": reply};
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fakeResponse = () => ({
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"choices": [{
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"index": 0,
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"message": replyMessage,
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"finish_reason": "stop"
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}],
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status: 200,
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});
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const result = await checkSendForCompletion();
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checkModels([OpenAIAssistant.DEFAULT_MODEL]);
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const callInfo = fakeFetch.getCall(0);
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const [url, request] = callInfo.args;
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assert.equal(url, 'https://api.openai.com/v1/chat/completions');
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assert.equal(request.method, 'POST');
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const {messages: requestMessages} = JSON.parse(request.body);
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const systemMessageContent = requestMessages[0].content;
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assert.match(systemMessageContent, /def C\(rec: Table1\)/);
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assert.deepEqual(requestMessages, [
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{
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role: "system",
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content: systemMessageContent,
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},
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{
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role: "user",
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content: userMessageContent,
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}
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]
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);
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const suggestedFormula = "a = int($A)\nb=int($B)\n\nstr(a + b)";
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const replyWithSuggestedFormula = "Here's a formula that adds columns A and B:\n\n"
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+ "```python\na = int($A)\nb=int($B)\n\nstr(a + b)\n```"
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+ "\n\nLet me know if there's anything else I can help with.";
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assert.deepEqual(result, {
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suggestedActions: [
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["ModifyColumn", tableId, colId, {formula: suggestedFormula}]
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],
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suggestedFormula,
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reply: replyWithSuggestedFormula,
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state: {
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messages: [...requestMessages, replyMessage]
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}
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}
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);
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});
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it('does not suggest anything if formula is invalid', async function () {
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const reply = "This isn't valid Python code:\n```python\nclass = 'foo'\n```";
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const replyMessage = {
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"role": "assistant",
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"content": reply,
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};
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fakeResponse = () => ({
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"choices": [{
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"index": 0,
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"message": replyMessage,
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"finish_reason": "stop"
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}],
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status: 200,
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});
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const result = await checkSendForCompletion();
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const callInfo = fakeFetch.getCall(0);
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const [, request] = callInfo.args;
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const {messages: requestMessages} = JSON.parse(request.body);
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const suggestedFormula = undefined;
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assert.deepEqual(result, {
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suggestedActions: [],
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suggestedFormula,
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reply,
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state: {
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messages: [...requestMessages, replyMessage],
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},
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}
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);
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});
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it('tries 3 times in case of network errors', async function () {
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fakeResponse = () => {
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throw new Error("Network error");
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};
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await assert.isRejected(
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checkSendForCompletion(),
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"Sorry, the assistant is unavailable right now. " +
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"Try again in a few minutes. \n" +
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"(Error: Network error)",
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);
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assert.equal(fakeFetch.callCount, 3);
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});
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it('tries 3 times in case of bad status code', async function () {
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fakeResponse = () => ({status: 500});
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await assert.isRejected(
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checkSendForCompletion(),
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"Sorry, the assistant is unavailable right now. " +
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"Try again in a few minutes. \n" +
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'(Error: OpenAI API returned status 500: {"status":500})',
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);
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assert.equal(fakeFetch.callCount, 3);
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});
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it('handles exceeded billing quota', async function () {
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fakeResponse = () => ({
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error: {
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code: "insufficient_quota",
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},
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status: 429,
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});
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await assert.isRejected(
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checkSendForCompletion(),
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"Sorry, the assistant is facing some long term capacity issues. " +
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"Maybe try again tomorrow.",
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);
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assert.equal(fakeFetch.callCount, 1);
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});
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it('switches to a longer model with no retries if the prompt is too long', async function () {
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fakeResponse = () => ({
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error: {
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code: "context_length_exceeded",
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},
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status: 400,
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});
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await assert.isRejected(
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checkSendForCompletion(),
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/You'll need to either shorten your message or delete some columns/
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);
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checkModels([
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OpenAIAssistant.DEFAULT_MODEL,
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OpenAIAssistant.DEFAULT_LONGER_CONTEXT_MODEL,
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]);
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});
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it('switches to a longer model with no retries if the model runs out of tokens while responding', async function () {
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fakeResponse = () => ({
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"choices": [{
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"index": 0,
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"message": {},
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"finish_reason": "length"
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}],
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status: 200,
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});
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await assert.isRejected(
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checkSendForCompletion(),
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/You'll need to either shorten your message or delete some columns/
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);
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checkModels([
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OpenAIAssistant.DEFAULT_MODEL,
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OpenAIAssistant.DEFAULT_LONGER_CONTEXT_MODEL,
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]);
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});
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it('suggests restarting conversation if the prompt is too long and there are past messages', async function () {
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fakeResponse = () => ({
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error: {
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code: "context_length_exceeded",
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},
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status: 400,
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});
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await assert.isRejected(
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checkSendForCompletion({
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messages: [
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{role: "system", content: "Be good."},
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{role: "user", content: "Hi."},
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{role: "assistant", content: "Hi!"},
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]
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}),
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/You'll need to either shorten your message, restart the conversation, or delete some columns/
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);
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checkModels([
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OpenAIAssistant.DEFAULT_MODEL,
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OpenAIAssistant.DEFAULT_LONGER_CONTEXT_MODEL,
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]);
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});
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it('can switch to a longer model, retry, and succeed', async function () {
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fakeResponse = () => {
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if (fakeFetch.callCount === 1) {
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return {
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error: {
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code: "context_length_exceeded",
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},
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status: 400,
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};
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} else if (fakeFetch.callCount === 2) {
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return {
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status: 500,
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};
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} else {
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return {
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"choices": [{
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"index": 0,
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"message": {role: "assistant", content: "123"},
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"finish_reason": "stop"
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}],
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status: 200,
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};
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}
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};
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const result = await checkSendForCompletion();
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checkModels([
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OpenAIAssistant.DEFAULT_MODEL,
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OpenAIAssistant.DEFAULT_LONGER_CONTEXT_MODEL,
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OpenAIAssistant.DEFAULT_LONGER_CONTEXT_MODEL,
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]);
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assert.deepEqual(result.suggestedActions, [
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["ModifyColumn", tableId, colId, {formula: "123"}]
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]);
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});
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});
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