Merge branch 'master' of github.com:Budibase/budibase into chore/api-typing-3
This commit is contained in:
commit
a8ef736051
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@ -1,6 +1,6 @@
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{
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"$schema": "node_modules/lerna/schemas/lerna-schema.json",
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"version": "3.2.22",
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"version": "3.2.24",
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"npmClient": "yarn",
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"concurrency": 20,
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"command": {
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@ -63,7 +63,7 @@
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if (!name?.length) {
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return "Name is required"
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}
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if (snippets.some(snippet => snippet.name === name)) {
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if (!snippet?.name && snippets.some(snippet => snippet.name === name)) {
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return "That name is already in use"
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}
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if (firstCharNumberRegex.test(name)) {
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@ -106,11 +106,7 @@
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Delete
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</Button>
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{/if}
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<Button
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cta
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on:click={saveSnippet}
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disabled={!snippet && (loading || nameError)}
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>
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<Button cta on:click={saveSnippet} disabled={!code || loading || nameError}>
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Save
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</Button>
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</svelte:fragment>
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@ -186,7 +186,7 @@
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<div class="snippet-popover">
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{#key hoveredSnippet}
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<CodeEditor
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value={hoveredSnippet.code.trim()}
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value={hoveredSnippet.code?.trim()}
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mode={EditorModes.JS}
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readonly
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/>
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@ -52,9 +52,16 @@
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let modal
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$: text = value?.label ?? "Choose an option"
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$: tables = $tablesStore.list.map(table =>
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format.table(table, $datasources.list)
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)
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$: tables = $tablesStore.list
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.map(table => format.table(table, $datasources.list))
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.sort((a, b) => {
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// sort tables alphabetically, grouped by datasource
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const dsComparison = a.datasourceName.localeCompare(b.datasourceName)
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if (dsComparison !== 0) {
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return dsComparison
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}
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return a.label.localeCompare(b.label)
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})
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$: viewsV1 = $viewsStore.list.map(view => ({
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...view,
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label: view.name,
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@ -1 +1 @@
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Subproject commit e60f4b1b364fd49d2bb082f298757f83cb2032f0
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Subproject commit 7b8789efd940d9f8e5be9927243b19f07361c445
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@ -26,7 +26,7 @@ export async function find(ctx: UserCtx<void, FindIntegrationResponse>) {
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}
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const integration = await getDefinition(ctx.params.type)
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if (!integration) {
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ctx.throw(400, "Integration not found")
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ctx.throw(404, "Integration not found")
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}
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ctx.body = integration
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}
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@ -2,7 +2,6 @@ import { EMPTY_LAYOUT } from "../../constants/layouts"
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import { generateLayoutID, getScreenParams } from "../../db/utils"
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import { events, context } from "@budibase/backend-core"
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import {
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BBContext,
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DeleteLayoutResponse,
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Layout,
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SaveLayoutRequest,
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@ -3,9 +3,9 @@ import {
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getPluginMetadata,
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extractTarball,
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} from "../../../utilities/fileSystem"
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import { FileType } from "@budibase/types"
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import { KoaFile } from "@budibase/types"
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export async function fileUpload(file: FileType) {
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export async function fileUpload(file: KoaFile) {
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if (!file.name || !file.path) {
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throw new Error("File is not valid - cannot upload.")
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}
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@ -48,7 +48,7 @@ jest.mock("@budibase/pro", () => ({
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ai: {
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LargeLanguageModel: {
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forCurrentTenant: async () => ({
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initialised: true,
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llm: {},
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run: jest.fn(() => `Mock LLM Response`),
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buildPromptFromAIOperation: jest.fn(),
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}),
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@ -52,7 +52,7 @@ jest.mock("@budibase/pro", () => ({
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ai: {
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LargeLanguageModel: {
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forCurrentTenant: async () => ({
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initialised: true,
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llm: {},
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run: jest.fn(() => `Mock LLM Response`),
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buildPromptFromAIOperation: jest.fn(),
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}),
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@ -12,7 +12,6 @@ import {
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ExecuteQueryStepInputs,
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ExecuteQueryStepOutputs,
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} from "@budibase/types"
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import { executeV2AsAutomation } from "../../api/controllers/query"
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export const definition: AutomationStepDefinition = {
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name: "External Data Connector",
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@ -106,13 +106,15 @@ export async function run({
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(await features.flags.isEnabled(FeatureFlag.BUDIBASE_AI)) &&
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(await pro.features.isBudibaseAIEnabled())
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let llm
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let llmWrapper
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if (budibaseAIEnabled || customConfigsEnabled) {
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llm = await pro.ai.LargeLanguageModel.forCurrentTenant(inputs.model)
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llmWrapper = await pro.ai.LargeLanguageModel.forCurrentTenant(
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inputs.model
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)
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}
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response = llm?.initialised
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? await llm.run(inputs.prompt)
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response = llmWrapper?.llm
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? await llmWrapper.run(inputs.prompt)
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: await legacyOpenAIPrompt(inputs)
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return {
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@ -27,7 +27,7 @@ jest.mock("@budibase/pro", () => ({
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ai: {
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LargeLanguageModel: {
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forCurrentTenant: jest.fn().mockImplementation(() => ({
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initialised: true,
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llm: {},
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init: jest.fn(),
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run: jest.fn(),
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})),
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@ -1,4 +1,4 @@
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import { FileType, Plugin, PluginSource, PluginType } from "@budibase/types"
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import { KoaFile, Plugin, PluginSource, PluginType } from "@budibase/types"
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import {
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db as dbCore,
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objectStore,
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@ -26,7 +26,7 @@ export async function fetch(type?: PluginType): Promise<Plugin[]> {
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}
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}
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export async function processUploaded(plugin: FileType, source?: PluginSource) {
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export async function processUploaded(plugin: KoaFile, source?: PluginSource) {
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const { metadata, directory } = await fileUpload(plugin)
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pluginCore.validate(metadata?.schema)
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@ -18,7 +18,7 @@ jest.mock("@budibase/pro", () => ({
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ai: {
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LargeLanguageModel: {
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forCurrentTenant: async () => ({
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initialised: true,
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llm: {},
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run: jest.fn(() => "response from LLM"),
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buildPromptFromAIOperation: buildPromptMock,
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}),
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@ -126,8 +126,10 @@ export async function processAIColumns<T extends Row | Row[]>(
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const numRows = Array.isArray(inputRows) ? inputRows.length : 1
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span?.addTags({ table_id: table._id, numRows })
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const rows = Array.isArray(inputRows) ? inputRows : [inputRows]
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const llm = await pro.ai.LargeLanguageModel.forCurrentTenant("gpt-4o-mini")
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if (rows && llm.initialised) {
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const llmWrapper = await pro.ai.LargeLanguageModel.forCurrentTenant(
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"gpt-4o-mini"
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)
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if (rows && llmWrapper.llm) {
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// Ensure we have snippet context
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await context.ensureSnippetContext()
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}
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}
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const prompt = llm.buildPromptFromAIOperation({
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const prompt = llmWrapper.buildPromptFromAIOperation({
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schema: aiSchema,
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row,
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})
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return tracer.trace("processAIColumn", {}, async span => {
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span?.addTags({ table_id: table._id, column })
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const llmResponse = await llm.run(prompt!)
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const llmResponse = await llmWrapper.run(prompt!)
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return {
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...row,
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[column]: llmResponse,
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@ -12,7 +12,7 @@ export enum PluginSource {
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URL = "URL",
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FILE = "File Upload",
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}
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export interface FileType {
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export interface KoaFile {
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path: string | null
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name: string | null
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}
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