Merge branch 'master' into ts/notification-store
This commit is contained in:
commit
3518d2ada2
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"$schema": "node_modules/lerna/schemas/lerna-schema.json",
|
||||
"version": "3.2.37",
|
||||
"version": "3.2.38",
|
||||
"npmClient": "yarn",
|
||||
"concurrency": 20,
|
||||
"command": {
|
||||
|
|
|
@ -1,9 +1,7 @@
|
|||
import { derived, Readable } from "svelte/store"
|
||||
import { admin } from "./admin"
|
||||
import { auth } from "./auth"
|
||||
import { isEnabled } from "@/helpers/featureFlags"
|
||||
import { sdk } from "@budibase/shared-core"
|
||||
import { FeatureFlag } from "@budibase/types"
|
||||
|
||||
interface MenuItem {
|
||||
title: string
|
||||
|
@ -73,13 +71,11 @@ export const menu: Readable<MenuItem[]> = derived(
|
|||
title: "Environment",
|
||||
href: "/builder/portal/settings/environment",
|
||||
},
|
||||
]
|
||||
if (isEnabled(FeatureFlag.AI_CUSTOM_CONFIGS)) {
|
||||
settingsSubPages.push({
|
||||
{
|
||||
title: "AI",
|
||||
href: "/builder/portal/settings/ai",
|
||||
})
|
||||
}
|
||||
},
|
||||
]
|
||||
|
||||
if (!cloud) {
|
||||
settingsSubPages.push({
|
||||
|
|
|
@ -31,7 +31,7 @@ const getDatasourceFetchInstance = datasource => {
|
|||
if (!handler) {
|
||||
return null
|
||||
}
|
||||
return new handler({ API })
|
||||
return new handler({ API, datasource })
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -52,7 +52,7 @@ export const fetchDatasourceSchema = async (
|
|||
// Get the normal schema as long as we aren't wanting a form schema
|
||||
let schema
|
||||
if (datasource?.type !== "query" || !options?.formSchema) {
|
||||
schema = instance.getSchema(datasource, definition)
|
||||
schema = instance.getSchema(definition)
|
||||
} else if (definition.parameters?.length) {
|
||||
schema = {}
|
||||
definition.parameters.forEach(param => {
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
import { FieldType } from "@budibase/types"
|
||||
import { FieldType, UIColumn } from "@budibase/types"
|
||||
|
||||
import OptionsCell from "../cells/OptionsCell.svelte"
|
||||
import DateCell from "../cells/DateCell.svelte"
|
||||
|
@ -40,13 +40,23 @@ const TypeComponentMap = {
|
|||
// Custom types for UI only
|
||||
role: RoleCell,
|
||||
}
|
||||
export const getCellRenderer = column => {
|
||||
|
||||
function getCellRendererByType(type: FieldType | "role" | undefined) {
|
||||
if (!type) {
|
||||
return
|
||||
}
|
||||
|
||||
return TypeComponentMap[type as keyof typeof TypeComponentMap]
|
||||
}
|
||||
|
||||
export const getCellRenderer = (column: UIColumn) => {
|
||||
if (column.calculationType) {
|
||||
return NumberCell
|
||||
}
|
||||
|
||||
return (
|
||||
TypeComponentMap[column?.schema?.cellRenderType] ||
|
||||
TypeComponentMap[column?.schema?.type] ||
|
||||
getCellRendererByType(column.schema?.cellRenderType) ||
|
||||
getCellRendererByType(column.schema?.type) ||
|
||||
TextCell
|
||||
)
|
||||
}
|
|
@ -1,32 +0,0 @@
|
|||
// TODO: remove when all stores are typed
|
||||
|
||||
import { GeneratedIDPrefix, CellIDSeparator } from "./constants"
|
||||
import { Helpers } from "@budibase/bbui"
|
||||
|
||||
export const parseCellID = cellId => {
|
||||
if (!cellId) {
|
||||
return { rowId: undefined, field: undefined }
|
||||
}
|
||||
const parts = cellId.split(CellIDSeparator)
|
||||
const field = parts.pop()
|
||||
return { rowId: parts.join(CellIDSeparator), field }
|
||||
}
|
||||
|
||||
export const getCellID = (rowId, fieldName) => {
|
||||
return `${rowId}${CellIDSeparator}${fieldName}`
|
||||
}
|
||||
|
||||
export const parseEventLocation = e => {
|
||||
return {
|
||||
x: e.clientX ?? e.touches?.[0]?.clientX,
|
||||
y: e.clientY ?? e.touches?.[0]?.clientY,
|
||||
}
|
||||
}
|
||||
|
||||
export const generateRowID = () => {
|
||||
return `${GeneratedIDPrefix}${Helpers.uuid()}`
|
||||
}
|
||||
|
||||
export const isGeneratedRowID = id => {
|
||||
return id?.startsWith(GeneratedIDPrefix)
|
||||
}
|
|
@ -1,12 +1,14 @@
|
|||
import { get } from "svelte/store"
|
||||
import { createWebsocket } from "../../../utils"
|
||||
import { SocketEvent, GridSocketEvent } from "@budibase/shared-core"
|
||||
import { Store } from "../stores"
|
||||
import { UIDatasource, UIUser } from "@budibase/types"
|
||||
|
||||
export const createGridWebsocket = context => {
|
||||
export const createGridWebsocket = (context: Store) => {
|
||||
const { rows, datasource, users, focusedCellId, definition, API } = context
|
||||
const socket = createWebsocket("/socket/grid")
|
||||
|
||||
const connectToDatasource = datasource => {
|
||||
const connectToDatasource = (datasource: UIDatasource) => {
|
||||
if (!socket.connected) {
|
||||
return
|
||||
}
|
||||
|
@ -18,7 +20,7 @@ export const createGridWebsocket = context => {
|
|||
datasource,
|
||||
appId,
|
||||
},
|
||||
({ users: gridUsers }) => {
|
||||
({ users: gridUsers }: { users: UIUser[] }) => {
|
||||
users.set(gridUsers)
|
||||
}
|
||||
)
|
||||
|
@ -65,7 +67,7 @@ export const createGridWebsocket = context => {
|
|||
GridSocketEvent.DatasourceChange,
|
||||
({ datasource: newDatasource }) => {
|
||||
// Listen builder renames, as these aren't handled otherwise
|
||||
if (newDatasource?.name !== get(definition).name) {
|
||||
if (newDatasource?.name !== get(definition)?.name) {
|
||||
definition.set(newDatasource)
|
||||
}
|
||||
}
|
|
@ -179,9 +179,6 @@ export default abstract class DataFetch<
|
|||
this.store.update($store => ({ ...$store, loaded: true }))
|
||||
return
|
||||
}
|
||||
|
||||
// Initially fetch data but don't bother waiting for the result
|
||||
this.getInitialData()
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
@ -33,7 +33,12 @@ const DataFetchMap = {
|
|||
export const fetchData = ({ API, datasource, options }: any) => {
|
||||
const Fetch =
|
||||
DataFetchMap[datasource?.type as keyof typeof DataFetchMap] || TableFetch
|
||||
return new Fetch({ API, datasource, ...options })
|
||||
const fetch = new Fetch({ API, datasource, ...options })
|
||||
|
||||
// Initially fetch data but don't bother waiting for the result
|
||||
fetch.getInitialData()
|
||||
|
||||
return fetch
|
||||
}
|
||||
|
||||
// Creates an empty fetch instance with no datasource configured, so no data
|
||||
|
|
|
@ -209,6 +209,9 @@ export const buildFormBlockButtonConfig = props => {
|
|||
{
|
||||
"##eventHandlerType": "Close Side Panel",
|
||||
},
|
||||
{
|
||||
"##eventHandlerType": "Close Modal",
|
||||
},
|
||||
|
||||
...(actionUrl
|
||||
? [
|
||||
|
|
|
@ -1 +1 @@
|
|||
Subproject commit 32d84f109d4edc526145472a7446327312151442
|
||||
Subproject commit 193476cdfade6d3c613e6972f16ee0c527e01ff6
|
|
@ -4,15 +4,8 @@ import {
|
|||
processAIColumns,
|
||||
processFormulas,
|
||||
} from "../../../utilities/rowProcessor"
|
||||
import { context, features } from "@budibase/backend-core"
|
||||
import {
|
||||
Table,
|
||||
Row,
|
||||
FeatureFlag,
|
||||
FormulaType,
|
||||
FieldType,
|
||||
ViewV2,
|
||||
} from "@budibase/types"
|
||||
import { context } from "@budibase/backend-core"
|
||||
import { Table, Row, FormulaType, FieldType, ViewV2 } from "@budibase/types"
|
||||
import * as linkRows from "../../../db/linkedRows"
|
||||
import isEqual from "lodash/isEqual"
|
||||
import { cloneDeep, merge } from "lodash/fp"
|
||||
|
@ -162,11 +155,10 @@ export async function finaliseRow(
|
|||
dynamic: false,
|
||||
contextRows: [enrichedRow],
|
||||
})
|
||||
|
||||
const aiEnabled =
|
||||
((await features.isEnabled(FeatureFlag.BUDIBASE_AI)) &&
|
||||
(await pro.features.isBudibaseAIEnabled())) ||
|
||||
((await features.isEnabled(FeatureFlag.AI_CUSTOM_CONFIGS)) &&
|
||||
(await pro.features.isAICustomConfigsEnabled()))
|
||||
(await pro.features.isBudibaseAIEnabled()) ||
|
||||
(await pro.features.isAICustomConfigsEnabled())
|
||||
if (aiEnabled) {
|
||||
row = await processAIColumns(table, row, {
|
||||
contextRows: [enrichedRow],
|
||||
|
@ -184,11 +176,6 @@ export async function finaliseRow(
|
|||
enrichedRow = await processFormulas(table, enrichedRow, {
|
||||
dynamic: false,
|
||||
})
|
||||
if (aiEnabled) {
|
||||
enrichedRow = await processAIColumns(table, enrichedRow, {
|
||||
contextRows: [enrichedRow],
|
||||
})
|
||||
}
|
||||
|
||||
// this updates the related formulas in other rows based on the relations to this row
|
||||
if (updateFormula) {
|
||||
|
|
|
@ -8,7 +8,13 @@ import {
|
|||
import tk from "timekeeper"
|
||||
import emitter from "../../../../src/events"
|
||||
import { outputProcessing } from "../../../utilities/rowProcessor"
|
||||
import { context, InternalTable, tenancy, utils } from "@budibase/backend-core"
|
||||
import {
|
||||
context,
|
||||
setEnv,
|
||||
InternalTable,
|
||||
tenancy,
|
||||
utils,
|
||||
} from "@budibase/backend-core"
|
||||
import { quotas } from "@budibase/pro"
|
||||
import {
|
||||
AIOperationEnum,
|
||||
|
@ -42,19 +48,8 @@ import { InternalTables } from "../../../db/utils"
|
|||
import { withEnv } from "../../../environment"
|
||||
import { JsTimeoutError } from "@budibase/string-templates"
|
||||
import { isDate } from "../../../utilities"
|
||||
|
||||
jest.mock("@budibase/pro", () => ({
|
||||
...jest.requireActual("@budibase/pro"),
|
||||
ai: {
|
||||
LargeLanguageModel: {
|
||||
forCurrentTenant: async () => ({
|
||||
llm: {},
|
||||
run: jest.fn(() => `Mock LLM Response`),
|
||||
buildPromptFromAIOperation: jest.fn(),
|
||||
}),
|
||||
},
|
||||
},
|
||||
}))
|
||||
import nock from "nock"
|
||||
import { mockChatGPTResponse } from "../../../tests/utilities/mocks/openai"
|
||||
|
||||
const timestamp = new Date("2023-01-26T11:48:57.597Z").toISOString()
|
||||
tk.freeze(timestamp)
|
||||
|
@ -99,6 +94,8 @@ if (descriptions.length) {
|
|||
const ds = await dsProvider()
|
||||
datasource = ds.datasource
|
||||
client = ds.client
|
||||
|
||||
mocks.licenses.useCloudFree()
|
||||
})
|
||||
|
||||
afterAll(async () => {
|
||||
|
@ -172,10 +169,6 @@ if (descriptions.length) {
|
|||
)
|
||||
}
|
||||
|
||||
beforeEach(async () => {
|
||||
mocks.licenses.useCloudFree()
|
||||
})
|
||||
|
||||
const getRowUsage = async () => {
|
||||
const { total } = await config.doInContext(undefined, () =>
|
||||
quotas.getCurrentUsageValues(
|
||||
|
@ -3224,10 +3217,17 @@ if (descriptions.length) {
|
|||
isInternal &&
|
||||
describe("AI fields", () => {
|
||||
let table: Table
|
||||
let envCleanup: () => void
|
||||
|
||||
beforeAll(async () => {
|
||||
mocks.licenses.useBudibaseAI()
|
||||
mocks.licenses.useAICustomConfigs()
|
||||
envCleanup = setEnv({
|
||||
OPENAI_API_KEY: "sk-abcdefghijklmnopqrstuvwxyz1234567890abcd",
|
||||
})
|
||||
|
||||
mockChatGPTResponse("Mock LLM Response")
|
||||
|
||||
table = await config.api.table.save(
|
||||
saveTableRequest({
|
||||
schema: {
|
||||
|
@ -3251,7 +3251,9 @@ if (descriptions.length) {
|
|||
})
|
||||
|
||||
afterAll(() => {
|
||||
jest.unmock("@budibase/pro")
|
||||
nock.cleanAll()
|
||||
envCleanup()
|
||||
mocks.licenses.useCloudFree()
|
||||
})
|
||||
|
||||
it("should be able to save a row with an AI column", async () => {
|
||||
|
|
|
@ -1,4 +1,5 @@
|
|||
import {
|
||||
AIOperationEnum,
|
||||
ArrayOperator,
|
||||
BasicOperator,
|
||||
BBReferenceFieldSubType,
|
||||
|
@ -42,7 +43,9 @@ import {
|
|||
} from "../../../integrations/tests/utils"
|
||||
import merge from "lodash/merge"
|
||||
import { quotas } from "@budibase/pro"
|
||||
import { context, db, events, roles } from "@budibase/backend-core"
|
||||
import { context, db, events, roles, setEnv } from "@budibase/backend-core"
|
||||
import { mockChatGPTResponse } from "../../../tests/utilities/mocks/openai"
|
||||
import nock from "nock"
|
||||
|
||||
const descriptions = datasourceDescribe({ exclude: [DatabaseName.MONGODB] })
|
||||
|
||||
|
@ -100,6 +103,7 @@ if (descriptions.length) {
|
|||
|
||||
beforeAll(async () => {
|
||||
await config.init()
|
||||
mocks.licenses.useCloudFree()
|
||||
|
||||
const ds = await dsProvider()
|
||||
rawDatasource = ds.rawDatasource
|
||||
|
@ -109,7 +113,6 @@ if (descriptions.length) {
|
|||
|
||||
beforeEach(() => {
|
||||
jest.clearAllMocks()
|
||||
mocks.licenses.useCloudFree()
|
||||
})
|
||||
|
||||
describe("view crud", () => {
|
||||
|
@ -507,7 +510,6 @@ if (descriptions.length) {
|
|||
})
|
||||
|
||||
it("readonly fields can be used on free license", async () => {
|
||||
mocks.licenses.useCloudFree()
|
||||
const table = await config.api.table.save(
|
||||
saveTableRequest({
|
||||
schema: {
|
||||
|
@ -933,6 +935,95 @@ if (descriptions.length) {
|
|||
}
|
||||
)
|
||||
})
|
||||
|
||||
isInternal &&
|
||||
describe("AI fields", () => {
|
||||
let envCleanup: () => void
|
||||
beforeAll(() => {
|
||||
mocks.licenses.useBudibaseAI()
|
||||
mocks.licenses.useAICustomConfigs()
|
||||
envCleanup = setEnv({
|
||||
OPENAI_API_KEY: "sk-abcdefghijklmnopqrstuvwxyz1234567890abcd",
|
||||
})
|
||||
|
||||
mockChatGPTResponse(prompt => {
|
||||
if (prompt.includes("elephant")) {
|
||||
return "big"
|
||||
}
|
||||
if (prompt.includes("mouse")) {
|
||||
return "small"
|
||||
}
|
||||
if (prompt.includes("whale")) {
|
||||
return "big"
|
||||
}
|
||||
return "unknown"
|
||||
})
|
||||
})
|
||||
|
||||
afterAll(() => {
|
||||
nock.cleanAll()
|
||||
envCleanup()
|
||||
mocks.licenses.useCloudFree()
|
||||
})
|
||||
|
||||
it("can use AI fields in view calculations", async () => {
|
||||
const table = await config.api.table.save(
|
||||
saveTableRequest({
|
||||
schema: {
|
||||
animal: {
|
||||
name: "animal",
|
||||
type: FieldType.STRING,
|
||||
},
|
||||
bigOrSmall: {
|
||||
name: "bigOrSmall",
|
||||
type: FieldType.AI,
|
||||
operation: AIOperationEnum.CATEGORISE_TEXT,
|
||||
categories: "big,small",
|
||||
columns: ["animal"],
|
||||
},
|
||||
},
|
||||
})
|
||||
)
|
||||
|
||||
const view = await config.api.viewV2.create({
|
||||
tableId: table._id!,
|
||||
name: generator.guid(),
|
||||
type: ViewV2Type.CALCULATION,
|
||||
schema: {
|
||||
bigOrSmall: {
|
||||
visible: true,
|
||||
},
|
||||
count: {
|
||||
visible: true,
|
||||
calculationType: CalculationType.COUNT,
|
||||
field: "animal",
|
||||
},
|
||||
},
|
||||
})
|
||||
|
||||
await config.api.row.save(table._id!, {
|
||||
animal: "elephant",
|
||||
})
|
||||
|
||||
await config.api.row.save(table._id!, {
|
||||
animal: "mouse",
|
||||
})
|
||||
|
||||
await config.api.row.save(table._id!, {
|
||||
animal: "whale",
|
||||
})
|
||||
|
||||
const { rows } = await config.api.row.search(view.id, {
|
||||
sort: "bigOrSmall",
|
||||
sortOrder: SortOrder.ASCENDING,
|
||||
})
|
||||
expect(rows).toHaveLength(2)
|
||||
expect(rows[0].bigOrSmall).toEqual("big")
|
||||
expect(rows[1].bigOrSmall).toEqual("small")
|
||||
expect(rows[0].count).toEqual(2)
|
||||
expect(rows[1].count).toEqual(1)
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
describe("update", () => {
|
||||
|
@ -1836,7 +1927,6 @@ if (descriptions.length) {
|
|||
},
|
||||
})
|
||||
|
||||
mocks.licenses.useCloudFree()
|
||||
const view = await getDelegate(res)
|
||||
expect(view.schema?.one).toEqual(
|
||||
expect.objectContaining({ visible: true, readonly: true })
|
||||
|
|
|
@ -27,11 +27,9 @@ import {
|
|||
Hosting,
|
||||
ActionImplementation,
|
||||
AutomationStepDefinition,
|
||||
FeatureFlag,
|
||||
} from "@budibase/types"
|
||||
import sdk from "../sdk"
|
||||
import { getAutomationPlugin } from "../utilities/fileSystem"
|
||||
import { features } from "@budibase/backend-core"
|
||||
|
||||
type ActionImplType = ActionImplementations<
|
||||
typeof env.SELF_HOSTED extends "true" ? Hosting.SELF : Hosting.CLOUD
|
||||
|
@ -78,6 +76,7 @@ export const BUILTIN_ACTION_DEFINITIONS: Record<
|
|||
LOOP: loop.definition,
|
||||
COLLECT: collect.definition,
|
||||
TRIGGER_AUTOMATION_RUN: triggerAutomationRun.definition,
|
||||
BRANCH: branch.definition,
|
||||
// these used to be lowercase step IDs, maintain for backwards compat
|
||||
discord: discord.definition,
|
||||
slack: slack.definition,
|
||||
|
@ -105,14 +104,7 @@ if (env.SELF_HOSTED) {
|
|||
export async function getActionDefinitions(): Promise<
|
||||
Record<keyof typeof AutomationActionStepId, AutomationStepDefinition>
|
||||
> {
|
||||
if (await features.isEnabled(FeatureFlag.AUTOMATION_BRANCHING)) {
|
||||
BUILTIN_ACTION_DEFINITIONS["BRANCH"] = branch.definition
|
||||
}
|
||||
if (
|
||||
env.SELF_HOSTED ||
|
||||
(await features.isEnabled(FeatureFlag.BUDIBASE_AI)) ||
|
||||
(await features.isEnabled(FeatureFlag.AI_CUSTOM_CONFIGS))
|
||||
) {
|
||||
if (env.SELF_HOSTED) {
|
||||
BUILTIN_ACTION_DEFINITIONS["OPENAI"] = openai.definition
|
||||
}
|
||||
|
||||
|
|
|
@ -7,9 +7,8 @@ import {
|
|||
AutomationIOType,
|
||||
OpenAIStepInputs,
|
||||
OpenAIStepOutputs,
|
||||
FeatureFlag,
|
||||
} from "@budibase/types"
|
||||
import { env, features } from "@budibase/backend-core"
|
||||
import { env } from "@budibase/backend-core"
|
||||
import * as automationUtils from "../automationUtils"
|
||||
import * as pro from "@budibase/pro"
|
||||
|
||||
|
@ -99,12 +98,8 @@ export async function run({
|
|||
|
||||
try {
|
||||
let response
|
||||
const customConfigsEnabled =
|
||||
(await features.isEnabled(FeatureFlag.AI_CUSTOM_CONFIGS)) &&
|
||||
(await pro.features.isAICustomConfigsEnabled())
|
||||
const budibaseAIEnabled =
|
||||
(await features.isEnabled(FeatureFlag.BUDIBASE_AI)) &&
|
||||
(await pro.features.isBudibaseAIEnabled())
|
||||
const customConfigsEnabled = await pro.features.isAICustomConfigsEnabled()
|
||||
const budibaseAIEnabled = await pro.features.isBudibaseAIEnabled()
|
||||
|
||||
let llmWrapper
|
||||
if (budibaseAIEnabled || customConfigsEnabled) {
|
||||
|
|
|
@ -432,6 +432,21 @@ export async function enrichSchema(
|
|||
...tableSchema[key],
|
||||
...ui,
|
||||
order: anyViewOrder ? ui?.order ?? undefined : tableSchema[key]?.order,
|
||||
// When this was written, the only column types in FieldSchema to have columns
|
||||
// field were the relationship columns. We blank this out here to make sure it's
|
||||
// not set on non-relationship columns, then below we populate it by calling
|
||||
// populateRelSchema.
|
||||
//
|
||||
// For Budibase 3.0 we introduced the FieldType.AI fields. Some of these fields
|
||||
// have `columns: string[]` and it flew under the radar here because the
|
||||
// AIFieldMetadata type isn't a union on its subtypes, it has a collection of
|
||||
// optional fields. So columns is `columns?: string[]` which allows undefined,
|
||||
// and doesn't fail this type check.
|
||||
//
|
||||
// What this means in practice is when FieldType.AI fields get enriched, we
|
||||
// delete their `columns`. At the time of writing, I don't believe anything in
|
||||
// the frontend depends on this, but it is odd and will probably bite us at
|
||||
// some point.
|
||||
columns: undefined,
|
||||
}
|
||||
|
||||
|
|
|
@ -0,0 +1,46 @@
|
|||
import nock from "nock"
|
||||
|
||||
let chatID = 1
|
||||
|
||||
export function mockChatGPTResponse(
|
||||
response: string | ((prompt: string) => string)
|
||||
) {
|
||||
return nock("https://api.openai.com")
|
||||
.post("/v1/chat/completions")
|
||||
.reply(200, (uri, requestBody) => {
|
||||
let content = response
|
||||
if (typeof response === "function") {
|
||||
const messages = (requestBody as any).messages
|
||||
content = response(messages[0].content)
|
||||
}
|
||||
|
||||
chatID++
|
||||
|
||||
return {
|
||||
id: `chatcmpl-${chatID}`,
|
||||
object: "chat.completion",
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: "gpt-4o-mini",
|
||||
system_fingerprint: `fp_${chatID}`,
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
message: { role: "assistant", content },
|
||||
logprobs: null,
|
||||
finish_reason: "stop",
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
prompt_tokens: 0,
|
||||
completion_tokens: 0,
|
||||
total_tokens: 0,
|
||||
completion_tokens_details: {
|
||||
reasoning_tokens: 0,
|
||||
accepted_prediction_tokens: 0,
|
||||
rejected_prediction_tokens: 0,
|
||||
},
|
||||
},
|
||||
}
|
||||
})
|
||||
.persist()
|
||||
}
|
|
@ -160,7 +160,7 @@ export async function processAIColumns<T extends Row | Row[]>(
|
|||
|
||||
return tracer.trace("processAIColumn", {}, async span => {
|
||||
span?.addTags({ table_id: table._id, column })
|
||||
const llmResponse = await llmWrapper.run(prompt!)
|
||||
const llmResponse = await llmWrapper.run(prompt)
|
||||
return {
|
||||
...row,
|
||||
[column]: llmResponse,
|
||||
|
|
|
@ -154,6 +154,7 @@ export const GroupByTypes = [
|
|||
FieldType.BOOLEAN,
|
||||
FieldType.DATETIME,
|
||||
FieldType.BIGINT,
|
||||
FieldType.AI,
|
||||
]
|
||||
|
||||
export function canGroupBy(type: FieldType) {
|
||||
|
|
|
@ -123,7 +123,7 @@ export interface AIFieldMetadata extends BaseFieldSchema {
|
|||
operation: AIOperationEnum
|
||||
columns?: string[]
|
||||
column?: string
|
||||
categories?: string[]
|
||||
categories?: string
|
||||
prompt?: string
|
||||
language?: string
|
||||
}
|
||||
|
|
|
@ -1,16 +1,8 @@
|
|||
export enum FeatureFlag {
|
||||
AUTOMATION_BRANCHING = "AUTOMATION_BRANCHING",
|
||||
AI_CUSTOM_CONFIGS = "AI_CUSTOM_CONFIGS",
|
||||
DEFAULT_VALUES = "DEFAULT_VALUES",
|
||||
BUDIBASE_AI = "BUDIBASE_AI",
|
||||
USE_ZOD_VALIDATOR = "USE_ZOD_VALIDATOR",
|
||||
}
|
||||
|
||||
export const FeatureFlagDefaults = {
|
||||
[FeatureFlag.DEFAULT_VALUES]: true,
|
||||
[FeatureFlag.AUTOMATION_BRANCHING]: true,
|
||||
[FeatureFlag.AI_CUSTOM_CONFIGS]: true,
|
||||
[FeatureFlag.BUDIBASE_AI]: true,
|
||||
[FeatureFlag.USE_ZOD_VALIDATOR]: false,
|
||||
}
|
||||
|
||||
|
|
|
@ -14,6 +14,7 @@ export type UIColumn = FieldSchema & {
|
|||
type: FieldType
|
||||
readonly: boolean
|
||||
autocolumn: boolean
|
||||
cellRenderType?: FieldType | "role"
|
||||
}
|
||||
calculationType: CalculationType
|
||||
__idx: number
|
||||
|
|
Loading…
Reference in New Issue