Merge remote-tracking branch 'origin/feature/automation-branching-ux' into automation-branching-ux-updates

This commit is contained in:
Dean 2024-11-01 15:27:52 +00:00
commit 22b0cd4d90
13 changed files with 170 additions and 44 deletions

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@ -1,6 +1,6 @@
{
"$schema": "node_modules/lerna/schemas/lerna-schema.json",
"version": "2.33.13",
"version": "2.33.14",
"npmClient": "yarn",
"packages": [
"packages/*",

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@ -316,11 +316,9 @@ class InternalBuilder {
const columnSchema = schema[column]
if (this.SPECIAL_SELECT_CASES.POSTGRES_MONEY(columnSchema)) {
// TODO: figure out how to express this safely without string
// interpolation.
return this.knex.raw(`??::money::numeric as "${field}"`, [
return this.knex.raw(`??::money::numeric as ??`, [
this.rawQuotedIdentifier([table, column].join(".")),
field,
this.knex.raw(this.quote(field)),
])
}
@ -330,8 +328,9 @@ class InternalBuilder {
// TODO: figure out how to express this safely without string
// interpolation.
return this.knex.raw(`CONVERT(varchar, ??, 108) as "${field}"`, [
return this.knex.raw(`CONVERT(varchar, ??, 108) as ??`, [
this.rawQuotedIdentifier(field),
this.knex.raw(this.quote(field)),
])
}

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@ -90,8 +90,15 @@
const getFieldOptions = (self, calculations, schema) => {
return Object.entries(schema)
.filter(([field, fieldSchema]) => {
// Only allow numeric fields that are not calculations themselves
if (fieldSchema.calculationType || !isNumeric(fieldSchema.type)) {
// Don't allow other calculation columns
if (fieldSchema.calculationType) {
return false
}
// Only allow numeric columns for most calculation types
if (
self.type !== CalculationType.COUNT &&
!isNumeric(fieldSchema.type)
) {
return false
}
// Don't allow duplicates
@ -234,7 +241,7 @@
<InfoDisplay
icon="Help"
quiet
body="Calculations only work with numeric columns and a maximum of 5 calculations can be added at once."
body="Most calculations only work with numeric columns and a maximum of 5 calculations can be added at once."
/>
<div>
@ -257,6 +264,4 @@
.group-by {
grid-column: 2 / 5;
}
span {
}
</style>

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@ -60,8 +60,11 @@
// Provide additional data context for live binding eval
export const getAdditionalDataContext = () => {
const rows = get(grid?.getContext()?.rows)
const goldenRow = generateGoldenSample(rows)
const gridContext = grid?.getContext()
const rows = get(gridContext?.rows) || []
const clean = gridContext?.rows.actions.cleanRow || (x => x)
const cleaned = rows.map(clean)
const goldenRow = generateGoldenSample(cleaned)
const id = get(component).id
return {
// Not sure what this one is for...

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@ -10,6 +10,8 @@ export const DefaultColumnWidth = 200
export const MinColumnWidth = 80
export const NewRowID = "new"
export const BlankRowID = "blank"
export const GeneratedIDPrefix = "‽‽"
export const CellIDSeparator = "‽‽"
export const RowPageSize = 100
export const FocusedCellMinOffset = ScrollBarSize * 3
export const ControlsHeight = 50

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@ -1,18 +1,17 @@
// We can't use "-" as a separator as this can be present in the ID
// or column name, so we use something very unusual to avoid this problem
const JOINING_CHARACTER = "‽‽"
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(JOINING_CHARACTER)
const parts = cellId.split(CellIDSeparator)
const field = parts.pop()
return { rowId: parts.join(JOINING_CHARACTER), field }
return { rowId: parts.join(CellIDSeparator), field }
}
export const getCellID = (rowId, fieldName) => {
return `${rowId}${JOINING_CHARACTER}${fieldName}`
return `${rowId}${CellIDSeparator}${fieldName}`
}
export const parseEventLocation = e => {
@ -21,3 +20,11 @@ export const parseEventLocation = e => {
y: e.clientY ?? e.touches?.[0]?.clientY,
}
}
export const generateRowID = () => {
return `${GeneratedIDPrefix}${Helpers.uuid()}`
}
export const isGeneratedRowID = id => {
return id?.startsWith(GeneratedIDPrefix)
}

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@ -1,7 +1,12 @@
import { writable, derived, get } from "svelte/store"
import { fetchData } from "../../../fetch"
import { NewRowID, RowPageSize } from "../lib/constants"
import { getCellID, parseCellID } from "../lib/utils"
import {
generateRowID,
getCellID,
isGeneratedRowID,
parseCellID,
} from "../lib/utils"
import { tick } from "svelte"
import { Helpers } from "@budibase/bbui"
import { sleep } from "../../../utils/utils"
@ -634,10 +639,10 @@ export const createActions = context => {
newRow = newRows[i]
// Ensure we have a unique _id.
// This means generating one for non DS+, overwriting any that may already
// exist as we cannot allow duplicates.
if (!$hasBudibaseIdentifiers) {
newRow._id = Helpers.uuid()
// We generate one for non DS+ where required, but trust that any existing
// _id values are unique (e.g. Mongo)
if (!$hasBudibaseIdentifiers && !newRow._id?.length) {
newRow._id = generateRowID()
}
if (!rowCacheMap[newRow._id]) {
@ -674,7 +679,7 @@ export const createActions = context => {
let clone = { ...row }
delete clone.__idx
delete clone.__metadata
if (!get(hasBudibaseIdentifiers)) {
if (!get(hasBudibaseIdentifiers) && isGeneratedRowID(clone._id)) {
delete clone._id
}
return clone

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@ -136,16 +136,15 @@ export async function importToRows(
// We use a reference to table here and update it after input processing,
// so that we can auto increment auto IDs in imported data properly
const processed = await inputProcessing(userId, table, row, {
row = await inputProcessing(userId, table, row, {
noAutoRelationships: true,
})
row = processed
// However here we must reference the original table, as we want to mutate
// the real schema of the table passed in, not the clone used for
// incrementing auto IDs
for (const [fieldName, schema] of Object.entries(originalTable.schema)) {
if (schema.type === FieldType.LINK) {
if (schema.type === FieldType.LINK && data.find(row => row[fieldName])) {
throw new HTTPError(
`Can't bulk import relationship fields for internal databases, found value in field "${fieldName}"`,
400

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@ -9,29 +9,33 @@ function getHeaders(
return headers.map(header => `"${customHeaders[header] || header}"`)
}
function escapeCsvString(str: string) {
return str.replace(/"/g, '""')
}
export function csv(
headers: string[],
rows: Row[],
delimiter: string = ",",
customHeaders: { [key: string]: string } = {}
) {
let csv = getHeaders(headers, customHeaders).join(delimiter)
let csvRows = [getHeaders(headers, customHeaders)]
for (let row of rows) {
csv = `${csv}\n${headers
.map(header => {
let val = row[header]
val =
typeof val === "object" && !(val instanceof Date)
? `"${JSON.stringify(val).replace(/"/g, "'")}"`
: val !== undefined
? `"${val}"`
: ""
return val.trim()
})
.join(delimiter)}`
csvRows.push(
headers.map(header => {
const val = row[header]
if (typeof val === "object" && !(val instanceof Date)) {
return `"${JSON.stringify(val).replace(/"/g, "'")}"`
}
return csv
if (val !== undefined) {
return `"${escapeCsvString(val.toString())}"`
}
return ""
})
)
}
return csvRows.map(row => row.join(delimiter)).join("\n")
}
export function json(rows: Row[]) {

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@ -1,3 +1,5 @@
import { DEFAULT_TABLES } from "../../../db/defaultData/datasource_bb_default"
jest.mock("../../../utilities/redis", () => ({
init: jest.fn(),
getLocksById: () => {
@ -447,4 +449,18 @@ describe("/applications", () => {
expect(devLogs.data.length).toBe(0)
})
})
describe("POST /api/applications/:appId/sample", () => {
it("should be able to add sample data", async () => {
await config.api.application.addSampleData(config.getAppId())
for (let table of DEFAULT_TABLES) {
const res = await config.api.row.search(
table._id!,
{ query: {} },
{ status: 200 }
)
expect(res.rows.length).not.toEqual(0)
}
})
})
})

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@ -2630,6 +2630,40 @@ describe.each([
})
})
it("can handle csv-special characters in strings", async () => {
const badString = 'test":, wow", "test": "wow"'
const table = await config.api.table.save(
saveTableRequest({
schema: {
string: {
type: FieldType.STRING,
name: "string",
},
},
})
)
await config.api.row.save(table._id!, { string: badString })
const exportedValue = await config.api.row.exportRows(
table._id!,
{ query: {} },
RowExportFormat.CSV
)
const json = await config.api.table.csvToJson(
{
csvString: exportedValue,
},
{
status: 200,
}
)
expect(json).toHaveLength(1)
expect(json[0].string).toEqual(badString)
})
it("exported data can be re-imported", async () => {
// export all
const exportedValue = await config.api.row.exportRows(

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@ -1,5 +1,5 @@
import * as setup from "../api/routes/tests/utilities"
import { Datasource, FieldType } from "@budibase/types"
import { Datasource, FieldType, Table } from "@budibase/types"
import _ from "lodash"
import { generator } from "@budibase/backend-core/tests"
import {
@ -229,4 +229,54 @@ describe("postgres integrations", () => {
).toBeUndefined()
})
})
describe("money field 💰", () => {
const tableName = "moneytable"
let table: Table
beforeAll(async () => {
await client.raw(`
CREATE TABLE ${tableName} (
id serial PRIMARY KEY,
price money
)
`)
const response = await config.api.datasource.fetchSchema({
datasourceId: datasource._id!,
})
table = response.datasource.entities![tableName]
})
it("should be able to import a money field", async () => {
expect(table).toBeDefined()
expect(table?.schema.price.type).toBe(FieldType.NUMBER)
})
it("should be able to search a money field", async () => {
await config.api.row.bulkImport(table._id!, {
rows: [{ price: 200 }, { price: 300 }],
})
const { rows } = await config.api.row.search(table._id!, {
query: {
equal: {
price: 200,
},
},
})
expect(rows).toHaveLength(1)
expect(rows[0].price).toBe("200.00")
})
it("should be able to update a money field", async () => {
let row = await config.api.row.save(table._id!, { price: 200 })
expect(row.price).toBe("200.00")
row = await config.api.row.save(table._id!, { ...row, price: 300 })
expect(row.price).toBe("300.00")
row = await config.api.row.save(table._id!, { ...row, price: "400.00" })
expect(row.price).toBe("400.00")
})
})
})

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@ -5,8 +5,10 @@ export async function jsonFromCsvString(csvString: string) {
csvString
)
// By default the csvtojson library casts empty values as empty strings. This is causing issues on conversion.
// ignoreEmpty will remove the key completly if empty, so creating this empty object will ensure we return the values with the keys but empty values
// By default the csvtojson library casts empty values as empty strings. This
// is causing issues on conversion. ignoreEmpty will remove the key completly
// if empty, so creating this empty object will ensure we return the values
// with the keys but empty values
const result = await csv({ ignoreEmpty: false }).fromString(csvString)
result.forEach((r, i) => {
for (const [key] of Object.entries(r).filter(([, value]) => value === "")) {