JSON import changes (#9288)
* JSON import changes * Fix lockfiles * PR Feedback, fix tests * fix tests * pr feedback
This commit is contained in:
parent
82cc1ac22b
commit
48e1695318
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@ -3,7 +3,6 @@ import {
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Event,
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Event,
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RowsImportedEvent,
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RowsImportedEvent,
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RowsCreatedEvent,
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RowsCreatedEvent,
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RowImportFormat,
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Table,
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Table,
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} from "@budibase/types"
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} from "@budibase/types"
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@ -16,14 +15,9 @@ const created = async (count: number, timestamp?: string | number) => {
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await publishEvent(Event.ROWS_CREATED, properties, timestamp)
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await publishEvent(Event.ROWS_CREATED, properties, timestamp)
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}
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}
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const imported = async (
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const imported = async (table: Table, count: number) => {
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table: Table,
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format: RowImportFormat,
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count: number
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) => {
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const properties: RowsImportedEvent = {
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const properties: RowsImportedEvent = {
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tableId: table._id as string,
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tableId: table._id as string,
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format,
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count,
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count,
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}
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}
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await publishEvent(Event.ROWS_IMPORTED, properties)
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await publishEvent(Event.ROWS_IMPORTED, properties)
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@ -2,7 +2,6 @@ import { publishEvent } from "../events"
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import {
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import {
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Event,
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Event,
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TableExportFormat,
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TableExportFormat,
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TableImportFormat,
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Table,
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Table,
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TableCreatedEvent,
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TableCreatedEvent,
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TableUpdatedEvent,
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TableUpdatedEvent,
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@ -40,10 +39,9 @@ async function exported(table: Table, format: TableExportFormat) {
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await publishEvent(Event.TABLE_EXPORTED, properties)
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await publishEvent(Event.TABLE_EXPORTED, properties)
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}
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}
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async function imported(table: Table, format: TableImportFormat) {
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async function imported(table: Table) {
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const properties: TableImportedEvent = {
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const properties: TableImportedEvent = {
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tableId: table._id as string,
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tableId: table._id as string,
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format,
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}
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}
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await publishEvent(Event.TABLE_IMPORTED, properties)
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await publishEvent(Event.TABLE_IMPORTED, properties)
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}
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}
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File diff suppressed because it is too large
Load Diff
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@ -12,6 +12,10 @@
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name: "JSON",
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name: "JSON",
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key: "json",
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key: "json",
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},
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},
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{
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name: "JSON with Schema",
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key: "jsonWithSchema",
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},
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]
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]
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export let view
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export let view
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@ -24,7 +28,7 @@
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viewName: view,
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viewName: view,
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format: exportFormat,
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format: exportFormat,
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})
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})
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download(data, `export.${exportFormat}`)
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download(data, `export.${exportFormat === "csv" ? "csv" : "json"}`)
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} catch (error) {
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} catch (error) {
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notifications.error(`Unable to export ${exportFormat.toUpperCase()} data`)
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notifications.error(`Unable to export ${exportFormat.toUpperCase()} data`)
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}
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}
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@ -6,22 +6,22 @@
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Body,
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Body,
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Layout,
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Layout,
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} from "@budibase/bbui"
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} from "@budibase/bbui"
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import TableDataImport from "../../TableNavigator/TableDataImport.svelte"
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import TableDataImport from "../../TableNavigator/ExistingTableDataImport.svelte"
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import { API } from "api"
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import { API } from "api"
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import { createEventDispatcher } from "svelte"
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import { createEventDispatcher } from "svelte"
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const dispatch = createEventDispatcher()
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const dispatch = createEventDispatcher()
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export let tableId
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export let tableId
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let dataImport
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let rows = []
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let allValid = false
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$: valid = dataImport?.csvString != null && dataImport?.valid
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let displayColumn = null
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async function importData() {
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async function importData() {
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try {
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try {
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await API.importTableData({
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await API.importTableData({
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tableId,
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tableId,
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data: dataImport,
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rows,
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})
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})
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notifications.success("Rows successfully imported")
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notifications.success("Rows successfully imported")
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} catch (error) {
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} catch (error) {
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@ -37,14 +37,14 @@
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title="Import Data"
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title="Import Data"
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confirmText="Import"
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confirmText="Import"
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onConfirm={importData}
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onConfirm={importData}
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disabled={!valid}
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disabled={!allValid}
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>
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>
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<Body size="S">
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<Body size="S">
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Import rows to an existing table from a CSV. Only columns from the CSV which
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Import rows to an existing table from a CSV or JSON file. Only columns from
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exist in the table will be imported.
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the file which exist in the table will be imported.
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</Body>
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</Body>
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<Layout gap="XS" noPadding>
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<Layout gap="XS" noPadding>
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<Label grey extraSmall>CSV to import</Label>
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<Label grey extraSmall>CSV or JSON file to import</Label>
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<TableDataImport bind:dataImport bind:existingTableId={tableId} />
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<TableDataImport {tableId} bind:rows bind:allValid bind:displayColumn />
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</Layout>
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</Layout>
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</ModalContent>
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</ModalContent>
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@ -0,0 +1,251 @@
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<script>
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import { Select } from "@budibase/bbui"
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import { FIELDS } from "constants/backend"
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import { API } from "api"
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import { parseFile } from "./utils"
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let error = null
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let fileName = null
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let fileType = null
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let loading = false
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let validation = {}
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let validateHash = ""
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let schema = null
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let invalidColumns = []
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export let tableId = null
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export let rows = []
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export let allValid = false
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const typeOptions = [
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{
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label: "Text",
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value: FIELDS.STRING.type,
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},
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{
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label: "Number",
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value: FIELDS.NUMBER.type,
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},
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{
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label: "Date",
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value: FIELDS.DATETIME.type,
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},
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{
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label: "Options",
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value: FIELDS.OPTIONS.type,
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},
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{
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label: "Multi-select",
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value: FIELDS.ARRAY.type,
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},
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{
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label: "Barcode/QR",
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value: FIELDS.BARCODEQR.type,
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},
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{
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label: "Long Form Text",
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value: FIELDS.LONGFORM.type,
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},
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]
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$: {
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schema = fetchSchema(tableId)
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}
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async function fetchSchema(tableId) {
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try {
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const definition = await API.fetchTableDefinition(tableId)
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schema = definition.schema
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} catch (e) {
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error = e
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}
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}
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async function handleFile(e) {
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loading = true
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error = null
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validation = {}
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try {
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const response = await parseFile(e)
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rows = response.rows
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fileName = response.fileName
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fileType = response.fileType
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} catch (e) {
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loading = false
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error = e
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}
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}
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async function validate(rows) {
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loading = true
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error = null
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validation = {}
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allValid = false
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try {
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if (rows.length > 0) {
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const response = await API.validateExistingTableImport({
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rows,
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tableId,
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})
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validation = response.schemaValidation
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invalidColumns = response.invalidColumns
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allValid = response.allValid
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}
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} catch (e) {
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error = e.message
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}
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loading = false
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}
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$: {
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// binding in consumer is causing double renders here
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const newValidateHash = JSON.stringify(rows)
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if (newValidateHash !== validateHash) {
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validate(rows)
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}
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validateHash = newValidateHash
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}
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</script>
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<div class="dropzone">
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<input
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disabled={!schema || loading}
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id="file-upload"
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accept="text/csv,application/json"
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type="file"
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on:change={handleFile}
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/>
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<label for="file-upload" class:uploaded={rows.length > 0}>
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{#if loading}
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loading...
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{:else if error}
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error: {error}
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{:else if fileName}
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{fileName}
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{:else}
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Upload
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{/if}
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</label>
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</div>
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{#if fileName && Object.keys(validation).length === 0}
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<p>No valid fields, try another file</p>
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{:else if rows.length > 0 && !error}
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<div class="schema-fields">
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{#each Object.keys(validation) as name}
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<div class="field">
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<span>{name}</span>
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<Select
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value={schema[name]?.type}
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options={typeOptions}
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placeholder={null}
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getOptionLabel={option => option.label}
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getOptionValue={option => option.value}
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disabled
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/>
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<span
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class={loading || validation[name]
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? "fieldStatusSuccess"
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: "fieldStatusFailure"}
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>
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{validation[name] ? "Success" : "Failure"}
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</span>
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</div>
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{/each}
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</div>
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{#if invalidColumns.length > 0}
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<p class="spectrum-FieldLabel spectrum-FieldLabel--sizeM">
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The following columns are present in the data you wish to import, but do
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not match the schema of this table and will be ignored.
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</p>
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<ul class="ignoredList">
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{#each invalidColumns as column}
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<li>{column}</li>
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{/each}
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</ul>
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{/if}
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{/if}
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<style>
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.dropzone {
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text-align: center;
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display: flex;
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align-items: center;
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flex-direction: column;
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border-radius: 10px;
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transition: all 0.3s;
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}
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input {
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display: none;
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}
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label {
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font-family: var(--font-sans);
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cursor: pointer;
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font-weight: 600;
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box-sizing: border-box;
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overflow: hidden;
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border-radius: var(--border-radius-s);
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color: var(--ink);
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padding: var(--spacing-m) var(--spacing-l);
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transition: all 0.2s ease 0s;
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display: inline-flex;
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text-rendering: optimizeLegibility;
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min-width: auto;
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outline: none;
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font-feature-settings: "case" 1, "rlig" 1, "calt" 0;
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-webkit-box-align: center;
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user-select: none;
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flex-shrink: 0;
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align-items: center;
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justify-content: center;
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width: 100%;
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background-color: var(--grey-2);
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font-size: var(--font-size-xs);
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line-height: normal;
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border: var(--border-transparent);
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}
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.uploaded {
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color: var(--blue);
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}
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.schema-fields {
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margin-top: var(--spacing-xl);
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}
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.field {
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display: grid;
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grid-template-columns: 2fr 2fr 1fr auto;
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margin-top: var(--spacing-m);
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align-items: center;
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grid-gap: var(--spacing-m);
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font-size: var(--spectrum-global-dimension-font-size-75);
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}
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.fieldStatusSuccess {
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color: var(--green);
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justify-self: center;
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font-weight: 600;
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}
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.fieldStatusFailure {
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color: var(--red);
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justify-self: center;
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font-weight: 600;
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}
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.ignoredList {
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margin: 0;
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padding: 0;
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list-style: none;
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font-size: var(--spectrum-global-dimension-font-size-75);
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}
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</style>
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@ -1,107 +1,21 @@
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<script>
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<script>
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import { Select, InlineAlert, notifications } from "@budibase/bbui"
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import { Select } from "@budibase/bbui"
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import { FIELDS } from "constants/backend"
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import { FIELDS } from "constants/backend"
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||||||
import { API } from "api"
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import { API } from "api"
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||||||
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import { parseFile } from "./utils"
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|
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||||||
const BYTES_IN_MB = 1000000
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let error = null
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const FILE_SIZE_LIMIT = BYTES_IN_MB * 5
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let fileName = null
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||||||
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let fileType = null
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||||||
|
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export let files = []
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let loading = false
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export let dataImport = {
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let validation = {}
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||||||
valid: true,
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let validateHash = ""
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schema: {},
|
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}
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export let existingTableId
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|
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let csvString = undefined
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export let rows = []
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||||||
let primaryDisplay = undefined
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export let schema = {}
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||||||
let schema = {}
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export let allValid = false
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||||||
let fields = []
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export let displayColumn = null
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||||||
let hasValidated = false
|
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||||||
|
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||||||
$: valid =
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!schema ||
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||||||
(fields.every(column => schema[column].success) &&
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|
||||||
(!hasValidated || Object.keys(schema).length > 0))
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$: dataImport = {
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||||||
valid,
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|
||||||
schema: buildTableSchema(schema),
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||||||
csvString,
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||||||
primaryDisplay,
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||||||
}
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$: noFieldsError = existingTableId
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|
||||||
? "No columns in CSV match existing table schema"
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|
||||||
: "Could not find any columns to import"
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||||||
|
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||||||
function buildTableSchema(schema) {
|
|
||||||
const tableSchema = {}
|
|
||||||
for (let key in schema) {
|
|
||||||
const type = schema[key].type
|
|
||||||
|
|
||||||
if (type === "omit") continue
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|
||||||
|
|
||||||
tableSchema[key] = {
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|
||||||
name: key,
|
|
||||||
type,
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|
||||||
constraints: FIELDS[type.toUpperCase()].constraints,
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|
||||||
}
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|
||||||
}
|
|
||||||
return tableSchema
|
|
||||||
}
|
|
||||||
|
|
||||||
async function validateCSV() {
|
|
||||||
try {
|
|
||||||
const parseResult = await API.validateTableCSV({
|
|
||||||
csvString,
|
|
||||||
schema: schema || {},
|
|
||||||
tableId: existingTableId,
|
|
||||||
})
|
|
||||||
schema = parseResult?.schema
|
|
||||||
fields = Object.keys(schema || {}).filter(
|
|
||||||
key => schema[key].type !== "omit"
|
|
||||||
)
|
|
||||||
|
|
||||||
// Check primary display is valid
|
|
||||||
if (!primaryDisplay || fields.indexOf(primaryDisplay) === -1) {
|
|
||||||
primaryDisplay = fields[0]
|
|
||||||
}
|
|
||||||
|
|
||||||
hasValidated = true
|
|
||||||
} catch (error) {
|
|
||||||
notifications.error("CSV Invalid, please try another CSV file")
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
async function handleFile(evt) {
|
|
||||||
const fileArray = Array.from(evt.target.files)
|
|
||||||
if (fileArray.some(file => file.size >= FILE_SIZE_LIMIT)) {
|
|
||||||
notifications.error(
|
|
||||||
`Files cannot exceed ${
|
|
||||||
FILE_SIZE_LIMIT / BYTES_IN_MB
|
|
||||||
}MB. Please try again with smaller files.`
|
|
||||||
)
|
|
||||||
return
|
|
||||||
}
|
|
||||||
|
|
||||||
// Read CSV as plain text to upload alongside schema
|
|
||||||
let reader = new FileReader()
|
|
||||||
reader.addEventListener("load", function (e) {
|
|
||||||
csvString = e.target.result
|
|
||||||
files = fileArray
|
|
||||||
validateCSV()
|
|
||||||
})
|
|
||||||
reader.readAsText(fileArray[0])
|
|
||||||
}
|
|
||||||
|
|
||||||
async function omitColumn(columnName) {
|
|
||||||
schema[columnName].type = "omit"
|
|
||||||
await validateCSV()
|
|
||||||
}
|
|
||||||
|
|
||||||
const handleTypeChange = column => evt => {
|
|
||||||
schema[column].type = evt.detail
|
|
||||||
validateCSV()
|
|
||||||
}
|
|
||||||
|
|
||||||
const typeOptions = [
|
const typeOptions = [
|
||||||
{
|
{
|
||||||
|
@ -133,56 +47,116 @@
|
||||||
value: FIELDS.LONGFORM.type,
|
value: FIELDS.LONGFORM.type,
|
||||||
},
|
},
|
||||||
]
|
]
|
||||||
|
|
||||||
|
async function handleFile(e) {
|
||||||
|
loading = true
|
||||||
|
error = null
|
||||||
|
validation = {}
|
||||||
|
|
||||||
|
try {
|
||||||
|
const response = await parseFile(e)
|
||||||
|
rows = response.rows
|
||||||
|
schema = response.schema
|
||||||
|
fileName = response.fileName
|
||||||
|
fileType = response.fileType
|
||||||
|
} catch (e) {
|
||||||
|
loading = false
|
||||||
|
error = e
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
async function validate(rows, schema) {
|
||||||
|
loading = true
|
||||||
|
error = null
|
||||||
|
validation = {}
|
||||||
|
allValid = false
|
||||||
|
|
||||||
|
try {
|
||||||
|
if (rows.length > 0) {
|
||||||
|
const response = await API.validateNewTableImport({ rows, schema })
|
||||||
|
validation = response.schemaValidation
|
||||||
|
allValid = response.allValid
|
||||||
|
}
|
||||||
|
} catch (e) {
|
||||||
|
error = e.message
|
||||||
|
}
|
||||||
|
|
||||||
|
loading = false
|
||||||
|
}
|
||||||
|
|
||||||
|
$: {
|
||||||
|
// binding in consumer is causing double renders here
|
||||||
|
const newValidateHash = JSON.stringify(rows) + JSON.stringify(schema)
|
||||||
|
|
||||||
|
if (newValidateHash !== validateHash) {
|
||||||
|
validate(rows, schema)
|
||||||
|
}
|
||||||
|
|
||||||
|
validateHash = newValidateHash
|
||||||
|
}
|
||||||
</script>
|
</script>
|
||||||
|
|
||||||
<div class="dropzone">
|
<div class="dropzone">
|
||||||
<input id="file-upload" accept=".csv" type="file" on:change={handleFile} />
|
<input
|
||||||
<label for="file-upload" class:uploaded={files[0]}>
|
disabled={loading}
|
||||||
{#if files[0]}{files[0].name}{:else}Upload{/if}
|
id="file-upload"
|
||||||
|
accept="text/csv,application/json"
|
||||||
|
type="file"
|
||||||
|
on:change={handleFile}
|
||||||
|
/>
|
||||||
|
<label for="file-upload" class:uploaded={rows.length > 0}>
|
||||||
|
{#if loading}
|
||||||
|
loading...
|
||||||
|
{:else if error}
|
||||||
|
error: {error}
|
||||||
|
{:else if fileName}
|
||||||
|
{fileName}
|
||||||
|
{:else}
|
||||||
|
Upload
|
||||||
|
{/if}
|
||||||
</label>
|
</label>
|
||||||
</div>
|
</div>
|
||||||
{#if fields.length}
|
{#if rows.length > 0 && !error}
|
||||||
<div class="schema-fields">
|
<div class="schema-fields">
|
||||||
{#each fields as columnName}
|
{#each Object.values(schema) as column}
|
||||||
<div class="field">
|
<div class="field">
|
||||||
<span>{columnName}</span>
|
<span>{column.name}</span>
|
||||||
<Select
|
<Select
|
||||||
bind:value={schema[columnName].type}
|
bind:value={column.type}
|
||||||
on:change={handleTypeChange(columnName)}
|
on:change={e => (column.type = e.detail)}
|
||||||
options={typeOptions}
|
options={typeOptions}
|
||||||
placeholder={null}
|
placeholder={null}
|
||||||
getOptionLabel={option => option.label}
|
getOptionLabel={option => option.label}
|
||||||
getOptionValue={option => option.value}
|
getOptionValue={option => option.value}
|
||||||
disabled={!!existingTableId}
|
disabled={loading}
|
||||||
/>
|
/>
|
||||||
<span class="field-status" class:error={!schema[columnName].success}>
|
<span
|
||||||
{schema[columnName].success ? "Success" : "Failure"}
|
class={loading || validation[column.name]
|
||||||
|
? "fieldStatusSuccess"
|
||||||
|
: "fieldStatusFailure"}
|
||||||
|
>
|
||||||
|
{validation[column.name] ? "Success" : "Failure"}
|
||||||
</span>
|
</span>
|
||||||
<i
|
<i
|
||||||
class="omit-button ri-close-circle-fill"
|
class={`omit-button ri-close-circle-fill ${
|
||||||
on:click={() => omitColumn(columnName)}
|
loading ? "omit-button-disabled" : ""
|
||||||
|
}`}
|
||||||
|
on:click={() => {
|
||||||
|
delete schema[column.name]
|
||||||
|
schema = schema
|
||||||
|
}}
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
{/each}
|
{/each}
|
||||||
</div>
|
</div>
|
||||||
{#if !existingTableId}
|
|
||||||
<div class="display-column">
|
<div class="display-column">
|
||||||
<Select
|
<Select
|
||||||
label="Display Column"
|
label="Display Column"
|
||||||
bind:value={primaryDisplay}
|
bind:value={displayColumn}
|
||||||
options={fields}
|
options={Object.keys(schema)}
|
||||||
sort
|
sort
|
||||||
/>
|
/>
|
||||||
</div>
|
</div>
|
||||||
{/if}
|
|
||||||
{:else if hasValidated}
|
|
||||||
<div>
|
|
||||||
<InlineAlert
|
|
||||||
header="Invalid CSV"
|
|
||||||
bind:message={noFieldsError}
|
|
||||||
type="error"
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
{/if}
|
{/if}
|
||||||
|
|
||||||
<style>
|
<style>
|
||||||
|
@ -195,28 +169,10 @@
|
||||||
transition: all 0.3s;
|
transition: all 0.3s;
|
||||||
}
|
}
|
||||||
|
|
||||||
.field-status {
|
input {
|
||||||
color: var(--green);
|
|
||||||
justify-self: center;
|
|
||||||
font-weight: 600;
|
|
||||||
}
|
|
||||||
|
|
||||||
.error {
|
|
||||||
color: var(--red);
|
|
||||||
}
|
|
||||||
|
|
||||||
.uploaded {
|
|
||||||
color: var(--blue);
|
|
||||||
}
|
|
||||||
|
|
||||||
input[type="file"] {
|
|
||||||
display: none;
|
display: none;
|
||||||
}
|
}
|
||||||
|
|
||||||
.schema-fields {
|
|
||||||
margin-top: var(--spacing-xl);
|
|
||||||
}
|
|
||||||
|
|
||||||
label {
|
label {
|
||||||
font-family: var(--font-sans);
|
font-family: var(--font-sans);
|
||||||
cursor: pointer;
|
cursor: pointer;
|
||||||
|
@ -244,11 +200,12 @@
|
||||||
border: var(--border-transparent);
|
border: var(--border-transparent);
|
||||||
}
|
}
|
||||||
|
|
||||||
.omit-button {
|
.uploaded {
|
||||||
font-size: 1.2em;
|
color: var(--blue);
|
||||||
color: var(--grey-7);
|
}
|
||||||
cursor: pointer;
|
|
||||||
justify-self: flex-end;
|
.schema-fields {
|
||||||
|
margin-top: var(--spacing-xl);
|
||||||
}
|
}
|
||||||
|
|
||||||
.field {
|
.field {
|
||||||
|
@ -260,6 +217,30 @@
|
||||||
font-size: var(--spectrum-global-dimension-font-size-75);
|
font-size: var(--spectrum-global-dimension-font-size-75);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
.fieldStatusSuccess {
|
||||||
|
color: var(--green);
|
||||||
|
justify-self: center;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.fieldStatusFailure {
|
||||||
|
color: var(--red);
|
||||||
|
justify-self: center;
|
||||||
|
font-weight: 600;
|
||||||
|
}
|
||||||
|
|
||||||
|
.omit-button {
|
||||||
|
font-size: 1.2em;
|
||||||
|
color: var(--grey-7);
|
||||||
|
cursor: pointer;
|
||||||
|
justify-self: flex-end;
|
||||||
|
}
|
||||||
|
|
||||||
|
.omit-button-disabled {
|
||||||
|
pointer-events: none;
|
||||||
|
opacity: 70%;
|
||||||
|
}
|
||||||
|
|
||||||
.display-column {
|
.display-column {
|
||||||
margin-top: var(--spacing-xl);
|
margin-top: var(--spacing-xl);
|
||||||
}
|
}
|
||||||
|
|
|
@ -29,18 +29,27 @@
|
||||||
: BUDIBASE_INTERNAL_DB_ID
|
: BUDIBASE_INTERNAL_DB_ID
|
||||||
|
|
||||||
export let name
|
export let name
|
||||||
let dataImport
|
|
||||||
let error = ""
|
let error = ""
|
||||||
let autoColumns = getAutoColumnInformation()
|
let autoColumns = getAutoColumnInformation()
|
||||||
|
let schema = {}
|
||||||
|
let rows = []
|
||||||
|
let allValid = false
|
||||||
|
let displayColumn = null
|
||||||
|
|
||||||
function addAutoColumns(tableName, schema) {
|
function getAutoColumns() {
|
||||||
for (let [subtype, col] of Object.entries(autoColumns)) {
|
const selectedAutoColumns = {}
|
||||||
if (!col.enabled) {
|
|
||||||
continue
|
Object.entries(autoColumns).forEach(([subtype, column]) => {
|
||||||
|
if (column.enabled) {
|
||||||
|
selectedAutoColumns[column.name] = buildAutoColumn(
|
||||||
|
name,
|
||||||
|
column.name,
|
||||||
|
subtype
|
||||||
|
)
|
||||||
}
|
}
|
||||||
schema[col.name] = buildAutoColumn(tableName, col.name, subtype)
|
})
|
||||||
}
|
|
||||||
return schema
|
return selectedAutoColumns
|
||||||
}
|
}
|
||||||
|
|
||||||
function checkValid(evt) {
|
function checkValid(evt) {
|
||||||
|
@ -55,15 +64,15 @@
|
||||||
async function saveTable() {
|
async function saveTable() {
|
||||||
let newTable = {
|
let newTable = {
|
||||||
name,
|
name,
|
||||||
schema: addAutoColumns(name, dataImport.schema || {}),
|
schema: { ...schema, ...getAutoColumns() },
|
||||||
dataImport,
|
rows,
|
||||||
type: "internal",
|
type: "internal",
|
||||||
sourceId: targetDatasourceId,
|
sourceId: targetDatasourceId,
|
||||||
}
|
}
|
||||||
|
|
||||||
// Only set primary display if defined
|
// Only set primary display if defined
|
||||||
if (dataImport.primaryDisplay && dataImport.primaryDisplay.length) {
|
if (displayColumn && displayColumn.length) {
|
||||||
newTable.primaryDisplay = dataImport.primaryDisplay
|
newTable.primaryDisplay = displayColumn
|
||||||
}
|
}
|
||||||
|
|
||||||
// Create table
|
// Create table
|
||||||
|
@ -90,7 +99,7 @@
|
||||||
title="Create Table"
|
title="Create Table"
|
||||||
confirmText="Create"
|
confirmText="Create"
|
||||||
onConfirm={saveTable}
|
onConfirm={saveTable}
|
||||||
disabled={error || !name || (dataImport && !dataImport.valid)}
|
disabled={error || !name || !allValid}
|
||||||
>
|
>
|
||||||
<Input
|
<Input
|
||||||
data-cy="table-name-input"
|
data-cy="table-name-input"
|
||||||
|
@ -117,8 +126,10 @@
|
||||||
</div>
|
</div>
|
||||||
<div>
|
<div>
|
||||||
<Layout gap="XS" noPadding>
|
<Layout gap="XS" noPadding>
|
||||||
<Label grey extraSmall>Create Table from CSV (Optional)</Label>
|
<Label grey extraSmall
|
||||||
<TableDataImport bind:dataImport />
|
>Create a Table from a CSV or JSON file (Optional)</Label
|
||||||
|
>
|
||||||
|
<TableDataImport bind:rows bind:schema bind:allValid bind:displayColumn />
|
||||||
</Layout>
|
</Layout>
|
||||||
</div>
|
</div>
|
||||||
</ModalContent>
|
</ModalContent>
|
||||||
|
|
|
@ -0,0 +1,71 @@
|
||||||
|
import { API } from "api"
|
||||||
|
import { FIELDS } from "constants/backend"
|
||||||
|
|
||||||
|
const BYTES_IN_MB = 1000000
|
||||||
|
const FILE_SIZE_LIMIT = BYTES_IN_MB * 5
|
||||||
|
|
||||||
|
const getDefaultSchema = rows => {
|
||||||
|
const newSchema = {}
|
||||||
|
|
||||||
|
rows.forEach(row => {
|
||||||
|
Object.keys(row).forEach(column => {
|
||||||
|
newSchema[column] = {
|
||||||
|
name: column,
|
||||||
|
type: "string",
|
||||||
|
constraints: FIELDS["STRING"].constraints,
|
||||||
|
}
|
||||||
|
})
|
||||||
|
})
|
||||||
|
|
||||||
|
return newSchema
|
||||||
|
}
|
||||||
|
|
||||||
|
export const parseFile = e => {
|
||||||
|
return new Promise((resolve, reject) => {
|
||||||
|
const file = Array.from(e.target.files)[0]
|
||||||
|
|
||||||
|
if (file.size >= FILE_SIZE_LIMIT) {
|
||||||
|
reject("file too large")
|
||||||
|
return
|
||||||
|
}
|
||||||
|
|
||||||
|
let reader = new FileReader()
|
||||||
|
|
||||||
|
const resolveRows = (rows, schema = null) => {
|
||||||
|
resolve({
|
||||||
|
rows,
|
||||||
|
schema: schema ?? getDefaultSchema(rows),
|
||||||
|
fileName: file.name,
|
||||||
|
fileType: file.type,
|
||||||
|
})
|
||||||
|
}
|
||||||
|
|
||||||
|
reader.addEventListener("load", function (e) {
|
||||||
|
const fileData = e.target.result
|
||||||
|
|
||||||
|
if (file.type === "text/csv") {
|
||||||
|
API.csvToJson(fileData)
|
||||||
|
.then(rows => {
|
||||||
|
resolveRows(rows)
|
||||||
|
})
|
||||||
|
.catch(() => {
|
||||||
|
reject("can't convert csv to json")
|
||||||
|
})
|
||||||
|
} else if (file.type === "application/json") {
|
||||||
|
const parsedFileData = JSON.parse(fileData)
|
||||||
|
|
||||||
|
if (Array.isArray(parsedFileData)) {
|
||||||
|
resolveRows(parsedFileData)
|
||||||
|
} else if (typeof parsedFileData === "object") {
|
||||||
|
resolveRows(parsedFileData.rows, parsedFileData.schema)
|
||||||
|
} else {
|
||||||
|
reject("invalid json format")
|
||||||
|
}
|
||||||
|
} else {
|
||||||
|
reject("invalid file type")
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
reader.readAsText(file)
|
||||||
|
})
|
||||||
|
}
|
|
@ -64,32 +64,22 @@ export const buildTableEndpoints = API => ({
|
||||||
* @param tableId the table ID to import to
|
* @param tableId the table ID to import to
|
||||||
* @param data the data import object
|
* @param data the data import object
|
||||||
*/
|
*/
|
||||||
importTableData: async ({ tableId, data }) => {
|
importTableData: async ({ tableId, rows }) => {
|
||||||
return await API.post({
|
return await API.post({
|
||||||
url: `/api/tables/${tableId}/import`,
|
url: `/api/tables/${tableId}/import`,
|
||||||
body: {
|
body: {
|
||||||
dataImport: data,
|
rows,
|
||||||
},
|
},
|
||||||
})
|
})
|
||||||
},
|
},
|
||||||
|
csvToJson: async csvString => {
|
||||||
/**
|
|
||||||
* Validates a candidate CSV to be imported for a certain table.
|
|
||||||
* @param tableId the table ID to import to
|
|
||||||
* @param csvString the CSV contents as a string
|
|
||||||
* @param schema the proposed schema
|
|
||||||
*/
|
|
||||||
validateTableCSV: async ({ tableId, csvString, schema }) => {
|
|
||||||
return await API.post({
|
return await API.post({
|
||||||
url: "/api/tables/csv/validate",
|
url: "/api/convert/csvToJson",
|
||||||
body: {
|
body: {
|
||||||
csvString,
|
csvString,
|
||||||
schema,
|
|
||||||
tableId,
|
|
||||||
},
|
},
|
||||||
})
|
})
|
||||||
},
|
},
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Gets a list o tables.
|
* Gets a list o tables.
|
||||||
*/
|
*/
|
||||||
|
@ -120,4 +110,22 @@ export const buildTableEndpoints = API => ({
|
||||||
url: `/api/tables/${tableId}/${tableRev}`,
|
url: `/api/tables/${tableId}/${tableRev}`,
|
||||||
})
|
})
|
||||||
},
|
},
|
||||||
|
validateNewTableImport: async ({ rows, schema }) => {
|
||||||
|
return await API.post({
|
||||||
|
url: "/api/tables/validateNewTableImport",
|
||||||
|
body: {
|
||||||
|
rows,
|
||||||
|
schema,
|
||||||
|
},
|
||||||
|
})
|
||||||
|
},
|
||||||
|
validateExistingTableImport: async ({ rows, tableId }) => {
|
||||||
|
return await API.post({
|
||||||
|
url: "/api/tables/validateExistingTableImport",
|
||||||
|
body: {
|
||||||
|
rows,
|
||||||
|
tableId,
|
||||||
|
},
|
||||||
|
})
|
||||||
|
},
|
||||||
})
|
})
|
||||||
|
|
|
@ -27,7 +27,7 @@ import {
|
||||||
import { cloneDeep } from "lodash/fp"
|
import { cloneDeep } from "lodash/fp"
|
||||||
import { context, db as dbCore } from "@budibase/backend-core"
|
import { context, db as dbCore } from "@budibase/backend-core"
|
||||||
import { finaliseRow, updateRelatedFormula } from "./staticFormula"
|
import { finaliseRow, updateRelatedFormula } from "./staticFormula"
|
||||||
import * as exporters from "../view/exporters"
|
import { csv, json, jsonWithSchema, Format, isFormat } from "../view/exporters"
|
||||||
import { apiFileReturn } from "../../../utilities/fileSystem"
|
import { apiFileReturn } from "../../../utilities/fileSystem"
|
||||||
import {
|
import {
|
||||||
Ctx,
|
Ctx,
|
||||||
|
@ -412,14 +412,15 @@ export async function exportRows(ctx: Ctx) {
|
||||||
rows = result
|
rows = result
|
||||||
}
|
}
|
||||||
|
|
||||||
let headers = Object.keys(rows[0])
|
if (format === Format.CSV) {
|
||||||
// @ts-ignore
|
ctx.attachment("export.csv")
|
||||||
const exporter = exporters[format]
|
return apiFileReturn(csv(Object.keys(rows[0]), rows))
|
||||||
const filename = `export.${format}`
|
} else if (format === Format.JSON) {
|
||||||
|
ctx.attachment("export.json")
|
||||||
// send down the file
|
return apiFileReturn(json(rows))
|
||||||
ctx.attachment(filename)
|
} else {
|
||||||
return apiFileReturn(exporter(headers, rows))
|
throw "Format not recognised"
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
export async function fetchEnrichedRow(ctx: Ctx) {
|
export async function fetchEnrichedRow(ctx: Ctx) {
|
||||||
|
|
|
@ -10,9 +10,9 @@ import {
|
||||||
} from "./utils"
|
} from "./utils"
|
||||||
import { FieldTypes, RelationshipTypes } from "../../../constants"
|
import { FieldTypes, RelationshipTypes } from "../../../constants"
|
||||||
import { makeExternalQuery } from "../../../integrations/base/query"
|
import { makeExternalQuery } from "../../../integrations/base/query"
|
||||||
import * as csvParser from "../../../utilities/csvParser"
|
|
||||||
import { handleRequest } from "../row/external"
|
import { handleRequest } from "../row/external"
|
||||||
import { events, context } from "@budibase/backend-core"
|
import { events, context } from "@budibase/backend-core"
|
||||||
|
import { parse, isRows, isSchema } from "../../../utilities/schema"
|
||||||
import {
|
import {
|
||||||
Datasource,
|
Datasource,
|
||||||
Table,
|
Table,
|
||||||
|
@ -197,7 +197,7 @@ export async function save(ctx: BBContext) {
|
||||||
const table: TableRequest = ctx.request.body
|
const table: TableRequest = ctx.request.body
|
||||||
const renamed = table?._rename
|
const renamed = table?._rename
|
||||||
// can't do this right now
|
// can't do this right now
|
||||||
delete table.dataImport
|
delete table.rows
|
||||||
const datasourceId = getDatasourceId(ctx.request.body)!
|
const datasourceId = getDatasourceId(ctx.request.body)!
|
||||||
// table doesn't exist already, note that it is created
|
// table doesn't exist already, note that it is created
|
||||||
if (!table._id) {
|
if (!table._id) {
|
||||||
|
@ -338,17 +338,17 @@ export async function destroy(ctx: BBContext) {
|
||||||
|
|
||||||
export async function bulkImport(ctx: BBContext) {
|
export async function bulkImport(ctx: BBContext) {
|
||||||
const table = await sdk.tables.getTable(ctx.params.tableId)
|
const table = await sdk.tables.getTable(ctx.params.tableId)
|
||||||
const { dataImport } = ctx.request.body
|
const { rows }: { rows: unknown } = ctx.request.body
|
||||||
if (!dataImport || !dataImport.schema || !dataImport.csvString) {
|
const schema: unknown = table.schema
|
||||||
|
|
||||||
|
if (!rows || !isRows(rows) || !isSchema(schema)) {
|
||||||
ctx.throw(400, "Provided data import information is invalid.")
|
ctx.throw(400, "Provided data import information is invalid.")
|
||||||
}
|
}
|
||||||
const rows = await csvParser.transform({
|
|
||||||
...dataImport,
|
const parsedRows = await parse(rows, schema)
|
||||||
existingTable: table,
|
|
||||||
})
|
|
||||||
await handleRequest(Operation.BULK_CREATE, table._id!, {
|
await handleRequest(Operation.BULK_CREATE, table._id!, {
|
||||||
rows,
|
rows: parsedRows,
|
||||||
})
|
})
|
||||||
await events.rows.imported(table, "csv", rows.length)
|
await events.rows.imported(table, parsedRows.length)
|
||||||
return table
|
return table
|
||||||
}
|
}
|
||||||
|
|
|
@ -1,11 +1,16 @@
|
||||||
import * as internal from "./internal"
|
import * as internal from "./internal"
|
||||||
import * as external from "./external"
|
import * as external from "./external"
|
||||||
import * as csvParser from "../../../utilities/csvParser"
|
import {
|
||||||
|
validate as validateSchema,
|
||||||
|
isSchema,
|
||||||
|
isRows,
|
||||||
|
} from "../../../utilities/schema"
|
||||||
import { isExternalTable, isSQL } from "../../../integrations/utils"
|
import { isExternalTable, isSQL } from "../../../integrations/utils"
|
||||||
import { getDatasourceParams } from "../../../db/utils"
|
import { getDatasourceParams } from "../../../db/utils"
|
||||||
import { context, events } from "@budibase/backend-core"
|
import { context, events } from "@budibase/backend-core"
|
||||||
import { Table, BBContext } from "@budibase/types"
|
import { Table, BBContext } from "@budibase/types"
|
||||||
import sdk from "../../../sdk"
|
import sdk from "../../../sdk"
|
||||||
|
import csv from "csvtojson"
|
||||||
|
|
||||||
function pickApi({ tableId, table }: { tableId?: string; table?: Table }) {
|
function pickApi({ tableId, table }: { tableId?: string; table?: Table }) {
|
||||||
if (table && !tableId) {
|
if (table && !tableId) {
|
||||||
|
@ -56,16 +61,16 @@ export async function find(ctx: BBContext) {
|
||||||
export async function save(ctx: BBContext) {
|
export async function save(ctx: BBContext) {
|
||||||
const appId = ctx.appId
|
const appId = ctx.appId
|
||||||
const table = ctx.request.body
|
const table = ctx.request.body
|
||||||
const importFormat =
|
const isImport = table.rows
|
||||||
table.dataImport && table.dataImport.csvString ? "csv" : undefined
|
|
||||||
const savedTable = await pickApi({ table }).save(ctx)
|
const savedTable = await pickApi({ table }).save(ctx)
|
||||||
if (!table._id) {
|
if (!table._id) {
|
||||||
await events.table.created(savedTable)
|
await events.table.created(savedTable)
|
||||||
} else {
|
} else {
|
||||||
await events.table.updated(savedTable)
|
await events.table.updated(savedTable)
|
||||||
}
|
}
|
||||||
if (importFormat) {
|
if (isImport) {
|
||||||
await events.table.imported(savedTable, importFormat)
|
await events.table.imported(savedTable)
|
||||||
}
|
}
|
||||||
ctx.status = 200
|
ctx.status = 200
|
||||||
ctx.message = `Table ${table.name} saved successfully.`
|
ctx.message = `Table ${table.name} saved successfully.`
|
||||||
|
@ -96,19 +101,43 @@ export async function bulkImport(ctx: BBContext) {
|
||||||
ctx.body = { message: `Bulk rows created.` }
|
ctx.body = { message: `Bulk rows created.` }
|
||||||
}
|
}
|
||||||
|
|
||||||
export async function validateCSVSchema(ctx: BBContext) {
|
export async function csvToJson(ctx: BBContext) {
|
||||||
// tableId being specified means its an import to an existing table
|
const { csvString } = ctx.request.body
|
||||||
const { csvString, schema = {}, tableId } = ctx.request.body
|
|
||||||
let existingTable
|
const result = await csv().fromString(csvString)
|
||||||
if (tableId) {
|
|
||||||
existingTable = await sdk.tables.getTable(tableId)
|
ctx.status = 200
|
||||||
}
|
ctx.body = result
|
||||||
let result: Record<string, any> | undefined = await csvParser.parse(
|
}
|
||||||
csvString,
|
|
||||||
schema
|
export async function validateNewTableImport(ctx: BBContext) {
|
||||||
)
|
const { rows, schema }: { rows: unknown; schema: unknown } = ctx.request.body
|
||||||
if (existingTable) {
|
|
||||||
result = csvParser.updateSchema({ schema: result, existingTable })
|
if (isRows(rows) && isSchema(schema)) {
|
||||||
}
|
ctx.status = 200
|
||||||
ctx.body = { schema: result }
|
ctx.body = validateSchema(rows, schema)
|
||||||
|
} else {
|
||||||
|
ctx.status = 422
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
export async function validateExistingTableImport(ctx: BBContext) {
|
||||||
|
const { rows, tableId }: { rows: unknown; tableId: unknown } =
|
||||||
|
ctx.request.body
|
||||||
|
|
||||||
|
let schema = null
|
||||||
|
if (tableId) {
|
||||||
|
const table = await sdk.tables.getTable(tableId)
|
||||||
|
schema = table.schema
|
||||||
|
} else {
|
||||||
|
ctx.status = 422
|
||||||
|
return
|
||||||
|
}
|
||||||
|
|
||||||
|
if (tableId && isRows(rows) && isSchema(schema)) {
|
||||||
|
ctx.status = 200
|
||||||
|
ctx.body = validateSchema(rows, schema)
|
||||||
|
} else {
|
||||||
|
ctx.status = 422
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -35,7 +35,7 @@ function checkAutoColumns(table: Table, oldTable: Table) {
|
||||||
|
|
||||||
export async function save(ctx: any) {
|
export async function save(ctx: any) {
|
||||||
const db = context.getAppDB()
|
const db = context.getAppDB()
|
||||||
const { dataImport, ...rest } = ctx.request.body
|
const { rows, ...rest } = ctx.request.body
|
||||||
let tableToSave = {
|
let tableToSave = {
|
||||||
type: "table",
|
type: "table",
|
||||||
_id: generateTableID(),
|
_id: generateTableID(),
|
||||||
|
@ -61,7 +61,7 @@ export async function save(ctx: any) {
|
||||||
const tableSaveFunctions = new TableSaveFunctions({
|
const tableSaveFunctions = new TableSaveFunctions({
|
||||||
user: ctx.user,
|
user: ctx.user,
|
||||||
oldTable,
|
oldTable,
|
||||||
dataImport,
|
importRows: rows,
|
||||||
})
|
})
|
||||||
tableToSave = await tableSaveFunctions.before(tableToSave)
|
tableToSave = await tableSaveFunctions.before(tableToSave)
|
||||||
|
|
||||||
|
@ -185,7 +185,7 @@ export async function destroy(ctx: any) {
|
||||||
|
|
||||||
export async function bulkImport(ctx: any) {
|
export async function bulkImport(ctx: any) {
|
||||||
const table = await sdk.tables.getTable(ctx.params.tableId)
|
const table = await sdk.tables.getTable(ctx.params.tableId)
|
||||||
const { dataImport } = ctx.request.body
|
const { rows } = ctx.request.body
|
||||||
await handleDataImport(ctx.user, table, dataImport)
|
await handleDataImport(ctx.user, table, rows)
|
||||||
return table
|
return table
|
||||||
}
|
}
|
||||||
|
|
|
@ -1,4 +1,4 @@
|
||||||
import { transform } from "../../../utilities/csvParser"
|
import { parse, isSchema, isRows } from "../../../utilities/schema"
|
||||||
import { getRowParams, generateRowID, InternalTables } from "../../../db/utils"
|
import { getRowParams, generateRowID, InternalTables } from "../../../db/utils"
|
||||||
import { isEqual } from "lodash"
|
import { isEqual } from "lodash"
|
||||||
import { AutoFieldSubTypes, FieldTypes } from "../../../constants"
|
import { AutoFieldSubTypes, FieldTypes } from "../../../constants"
|
||||||
|
@ -128,24 +128,23 @@ export function importToRows(data: any, table: any, user: any = {}) {
|
||||||
return finalData
|
return finalData
|
||||||
}
|
}
|
||||||
|
|
||||||
export async function handleDataImport(user: any, table: any, dataImport: any) {
|
export async function handleDataImport(user: any, table: any, rows: any) {
|
||||||
if (!dataImport || !dataImport.csvString) {
|
const schema: unknown = table.schema
|
||||||
|
|
||||||
|
if (!rows || !isRows(rows) || !isSchema(schema)) {
|
||||||
return table
|
return table
|
||||||
}
|
}
|
||||||
|
|
||||||
const db = context.getAppDB()
|
const db = context.getAppDB()
|
||||||
// Populate the table with rows imported from CSV in a bulk update
|
const data = parse(rows, schema)
|
||||||
const data = await transform({
|
|
||||||
...dataImport,
|
|
||||||
existingTable: table,
|
|
||||||
})
|
|
||||||
|
|
||||||
let finalData: any = importToRows(data, table, user)
|
let finalData: any = importToRows(data, table, user)
|
||||||
|
|
||||||
await quotas.addRows(finalData.length, () => db.bulkDocs(finalData), {
|
await quotas.addRows(finalData.length, () => db.bulkDocs(finalData), {
|
||||||
tableId: table._id,
|
tableId: table._id,
|
||||||
})
|
})
|
||||||
await events.rows.imported(table, "csv", finalData.length)
|
|
||||||
|
await events.rows.imported(table, finalData.length)
|
||||||
return table
|
return table
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -210,14 +209,14 @@ class TableSaveFunctions {
|
||||||
db: any
|
db: any
|
||||||
user: any
|
user: any
|
||||||
oldTable: any
|
oldTable: any
|
||||||
dataImport: any
|
importRows: any
|
||||||
rows: any
|
rows: any
|
||||||
|
|
||||||
constructor({ user, oldTable, dataImport }: any) {
|
constructor({ user, oldTable, importRows }: any) {
|
||||||
this.db = context.getAppDB()
|
this.db = context.getAppDB()
|
||||||
this.user = user
|
this.user = user
|
||||||
this.oldTable = oldTable
|
this.oldTable = oldTable
|
||||||
this.dataImport = dataImport
|
this.importRows = importRows
|
||||||
// any rows that need updated
|
// any rows that need updated
|
||||||
this.rows = []
|
this.rows = []
|
||||||
}
|
}
|
||||||
|
@ -241,7 +240,7 @@ class TableSaveFunctions {
|
||||||
// after saving
|
// after saving
|
||||||
async after(table: any) {
|
async after(table: any) {
|
||||||
table = await handleSearchIndexes(table)
|
table = await handleSearchIndexes(table)
|
||||||
table = await handleDataImport(this.user, table, this.dataImport)
|
table = await handleDataImport(this.user, table, this.importRows)
|
||||||
return table
|
return table
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -1,4 +1,4 @@
|
||||||
import { Row } from "@budibase/types"
|
import { Row, TableSchema } from "@budibase/types"
|
||||||
|
|
||||||
export function csv(headers: string[], rows: Row[]) {
|
export function csv(headers: string[], rows: Row[]) {
|
||||||
let csv = headers.map(key => `"${key}"`).join(",")
|
let csv = headers.map(key => `"${key}"`).join(",")
|
||||||
|
@ -18,11 +18,26 @@ export function csv(headers: string[], rows: Row[]) {
|
||||||
return csv
|
return csv
|
||||||
}
|
}
|
||||||
|
|
||||||
export function json(headers: string[], rows: Row[]) {
|
export function json(rows: Row[]) {
|
||||||
return JSON.stringify(rows, undefined, 2)
|
return JSON.stringify(rows, undefined, 2)
|
||||||
}
|
}
|
||||||
|
|
||||||
export const ExportFormats = {
|
export function jsonWithSchema(schema: TableSchema, rows: Row[]) {
|
||||||
CSV: "csv",
|
const newSchema: TableSchema = {}
|
||||||
JSON: "json",
|
Object.values(schema).forEach(column => {
|
||||||
|
if (!column.autocolumn) {
|
||||||
|
newSchema[column.name] = column
|
||||||
|
}
|
||||||
|
})
|
||||||
|
return JSON.stringify({ schema: newSchema, rows }, undefined, 2)
|
||||||
|
}
|
||||||
|
|
||||||
|
export enum Format {
|
||||||
|
CSV = "csv",
|
||||||
|
JSON = "json",
|
||||||
|
JSON_WITH_SCHEMA = "jsonWithSchema",
|
||||||
|
}
|
||||||
|
|
||||||
|
export function isFormat(format: any): format is Format {
|
||||||
|
return Object.values(Format).includes(format as Format)
|
||||||
}
|
}
|
||||||
|
|
|
@ -1,6 +1,6 @@
|
||||||
import viewTemplate from "./viewBuilder"
|
import viewTemplate from "./viewBuilder"
|
||||||
import { apiFileReturn } from "../../../utilities/fileSystem"
|
import { apiFileReturn } from "../../../utilities/fileSystem"
|
||||||
import * as exporters from "./exporters"
|
import { csv, json, jsonWithSchema, Format, isFormat } from "./exporters"
|
||||||
import { deleteView, getView, getViews, saveView } from "./utils"
|
import { deleteView, getView, getViews, saveView } from "./utils"
|
||||||
import { fetchView } from "../row"
|
import { fetchView } from "../row"
|
||||||
import { FieldTypes } from "../../../constants"
|
import { FieldTypes } from "../../../constants"
|
||||||
|
@ -127,9 +127,13 @@ export async function exportView(ctx: BBContext) {
|
||||||
const viewName = decodeURIComponent(ctx.query.view as string)
|
const viewName = decodeURIComponent(ctx.query.view as string)
|
||||||
const view = await getView(viewName)
|
const view = await getView(viewName)
|
||||||
|
|
||||||
const format = ctx.query.format as string
|
const format = ctx.query.format as unknown
|
||||||
if (!format || !Object.values(exporters.ExportFormats).includes(format)) {
|
|
||||||
ctx.throw(400, "Format must be specified, either csv or json")
|
if (!isFormat(format)) {
|
||||||
|
ctx.throw(
|
||||||
|
400,
|
||||||
|
"Format must be specified, either csv, json or jsonWithSchema"
|
||||||
|
)
|
||||||
}
|
}
|
||||||
|
|
||||||
if (view) {
|
if (view) {
|
||||||
|
@ -171,7 +175,7 @@ export async function exportView(ctx: BBContext) {
|
||||||
})
|
})
|
||||||
|
|
||||||
// make sure no "undefined" entries appear in the CSV
|
// make sure no "undefined" entries appear in the CSV
|
||||||
if (format === exporters.ExportFormats.CSV) {
|
if (format === Format.CSV) {
|
||||||
const schemaKeys = Object.keys(schema)
|
const schemaKeys = Object.keys(schema)
|
||||||
for (let key of schemaKeys) {
|
for (let key of schemaKeys) {
|
||||||
for (let row of rows) {
|
for (let row of rows) {
|
||||||
|
@ -182,13 +186,18 @@ export async function exportView(ctx: BBContext) {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
// Export part
|
if (format === Format.CSV) {
|
||||||
let headers = Object.keys(schema)
|
ctx.attachment(`${viewName}.csv`)
|
||||||
const exporter = format === "csv" ? exporters.csv : exporters.json
|
ctx.body = apiFileReturn(csv(Object.keys(schema), rows))
|
||||||
const filename = `${viewName}.${format}`
|
} else if (format === Format.JSON) {
|
||||||
// send down the file
|
ctx.attachment(`${viewName}.json`)
|
||||||
ctx.attachment(filename)
|
ctx.body = apiFileReturn(json(rows))
|
||||||
ctx.body = apiFileReturn(exporter(headers, rows))
|
} else if (format === Format.JSON_WITH_SCHEMA) {
|
||||||
|
ctx.attachment(`${viewName}.json`)
|
||||||
|
ctx.body = apiFileReturn(jsonWithSchema(schema, rows))
|
||||||
|
} else {
|
||||||
|
throw "Format not recognised"
|
||||||
|
}
|
||||||
|
|
||||||
if (viewName.startsWith(DocumentType.TABLE)) {
|
if (viewName.startsWith(DocumentType.TABLE)) {
|
||||||
await events.table.exported(table, format as TableExportFormat)
|
await events.table.exported(table, format as TableExportFormat)
|
||||||
|
|
|
@ -67,10 +67,7 @@ router
|
||||||
* structure, and the "updated", new column name should also be supplied. The schema should also be updated, this field
|
* structure, and the "updated", new column name should also be supplied. The schema should also be updated, this field
|
||||||
* lets the server know that a field hasn't just been deleted, that the data has moved to a new name, this will fix
|
* lets the server know that a field hasn't just been deleted, that the data has moved to a new name, this will fix
|
||||||
* the rows in the table. This functionality is only available for internal tables.
|
* the rows in the table. This functionality is only available for internal tables.
|
||||||
* @apiParam (Body) {object} [dataImport] When creating an internal table it can be built from a CSV, by using the
|
* @apiParam (Body) {object[]} [rows] When creating a table using a compatible data source, an array of objects to be imported into the new table can be provided.
|
||||||
* CSV validation endpoint. Send the CSV data to the validation endpoint, then put the results of that call
|
|
||||||
* into this property, along with the CSV and a table/rows will be built from it. This is not supported when updating
|
|
||||||
* or for external tables.
|
|
||||||
*
|
*
|
||||||
* @apiParamExample {json} Example:
|
* @apiParamExample {json} Example:
|
||||||
* {
|
* {
|
||||||
|
@ -99,15 +96,7 @@ router
|
||||||
* "old": "columnName",
|
* "old": "columnName",
|
||||||
* "updated": "newColumnName",
|
* "updated": "newColumnName",
|
||||||
* },
|
* },
|
||||||
* "dataImport": {
|
* "rows": []
|
||||||
* "csvString": "column\nvalue",
|
|
||||||
* "primaryDisplay": "column",
|
|
||||||
* "schema": {
|
|
||||||
* "column": {
|
|
||||||
* "type": "string"
|
|
||||||
* }
|
|
||||||
* }
|
|
||||||
* }
|
|
||||||
* }
|
* }
|
||||||
*
|
*
|
||||||
* @apiSuccess {object} table The response body will contain the table structure after being cleaned up and
|
* @apiSuccess {object} table The response body will contain the table structure after being cleaned up and
|
||||||
|
@ -121,30 +110,20 @@ router
|
||||||
tableValidator(),
|
tableValidator(),
|
||||||
tableController.save
|
tableController.save
|
||||||
)
|
)
|
||||||
/**
|
|
||||||
* @api {post} /api/tables/csv/validate Validate a CSV for a table
|
|
||||||
* @apiName Validate a CSV for a table
|
|
||||||
* @apiGroup tables
|
|
||||||
* @apiPermission builder
|
|
||||||
* @apiDescription When creating a new table, or importing a CSV to an existing table the CSV must be validated and
|
|
||||||
* converted into a Budibase schema; this endpoint does this.
|
|
||||||
*
|
|
||||||
* @apiParam (Body) {string} csvString The CSV which is to be validated as a string.
|
|
||||||
* @apiParam (Body) {object} [schema] When a CSV has been validated it is possible to re-validate after changing the
|
|
||||||
* type of a field, by default everything will be strings as there is no way to infer types. The returned schema can
|
|
||||||
* be updated and then returned to the endpoint to re-validate and check if the type will work for the CSV, e.g.
|
|
||||||
* using a number instead of strings.
|
|
||||||
* @apiParam (Body) {string} [tableId] If importing data to an existing table this will pull the current table and
|
|
||||||
* remove any fields from the CSV schema which do not exist on the table/don't match the type of the table. When
|
|
||||||
* importing a CSV to an existing table only fields that are present on the table can be imported.
|
|
||||||
*
|
|
||||||
* @apiSuccess {object} schema The response body will contain a "schema" object that represents the schema found for
|
|
||||||
* the CSV - this will be in the same format used for table schema.s
|
|
||||||
*/
|
|
||||||
.post(
|
.post(
|
||||||
"/api/tables/csv/validate",
|
"/api/convert/csvToJson",
|
||||||
authorized(BUILDER),
|
authorized(BUILDER),
|
||||||
tableController.validateCSVSchema
|
tableController.csvToJson
|
||||||
|
)
|
||||||
|
.post(
|
||||||
|
"/api/tables/validateNewTableImport",
|
||||||
|
authorized(BUILDER),
|
||||||
|
tableController.validateNewTableImport
|
||||||
|
)
|
||||||
|
.post(
|
||||||
|
"/api/tables/validateExistingTableImport",
|
||||||
|
authorized(BUILDER),
|
||||||
|
tableController.validateExistingTableImport
|
||||||
)
|
)
|
||||||
/**
|
/**
|
||||||
* @api {post} /api/tables/:tableId/:revId Delete a table
|
* @api {post} /api/tables/:tableId/:revId Delete a table
|
||||||
|
@ -177,9 +156,7 @@ router
|
||||||
*
|
*
|
||||||
* @apiParam {string} tableId The ID of the table which the data should be imported to.
|
* @apiParam {string} tableId The ID of the table which the data should be imported to.
|
||||||
*
|
*
|
||||||
* @apiParam (Body) {object} dataImport This is the same as the structure used when creating an internal table with
|
* @apiParam (Body) {object[]} rows An array of objects representing the rows to be imported, key-value pairs not matching the table schema will be ignored.
|
||||||
* a CSV, it will have the "schema" returned from the CSV validation endpoint and the "csvString" which is to be
|
|
||||||
* turned into rows.
|
|
||||||
*
|
*
|
||||||
* @apiSuccess {string} message A message stating that the data was imported successfully.
|
* @apiSuccess {string} message A message stating that the data was imported successfully.
|
||||||
*/
|
*/
|
||||||
|
|
|
@ -42,7 +42,7 @@ describe("run misc tests", () => {
|
||||||
})
|
})
|
||||||
|
|
||||||
describe("test table utilities", () => {
|
describe("test table utilities", () => {
|
||||||
it("should be able to import a CSV", async () => {
|
it("should be able to import data", async () => {
|
||||||
return config.doInContext(null, async () => {
|
return config.doInContext(null, async () => {
|
||||||
const table = await config.createTable({
|
const table = await config.createTable({
|
||||||
name: "table",
|
name: "table",
|
||||||
|
@ -75,17 +75,11 @@ describe("run misc tests", () => {
|
||||||
},
|
},
|
||||||
},
|
},
|
||||||
})
|
})
|
||||||
const dataImport = {
|
|
||||||
csvString: "a,b,c,d\n1,2,3,4",
|
|
||||||
schema: {},
|
|
||||||
}
|
|
||||||
for (let col of ["a", "b", "c", "d"]) {
|
|
||||||
dataImport.schema[col] = { type: "string" }
|
|
||||||
}
|
|
||||||
await tableUtils.handleDataImport(
|
await tableUtils.handleDataImport(
|
||||||
{ userId: "test" },
|
{ userId: "test" },
|
||||||
table,
|
table,
|
||||||
dataImport
|
[{ a: '1', b: '2', c: '3', d: '4'}]
|
||||||
)
|
)
|
||||||
const rows = await config.getRows()
|
const rows = await config.getRows()
|
||||||
expect(rows[0].a).toEqual("1")
|
expect(rows[0].a).toEqual("1")
|
||||||
|
|
|
@ -43,21 +43,18 @@ describe("/tables", () => {
|
||||||
expect(events.table.created).toBeCalledWith(res.body)
|
expect(events.table.created).toBeCalledWith(res.body)
|
||||||
})
|
})
|
||||||
|
|
||||||
it("creates a table via data import CSV", async () => {
|
it("creates a table via data import", async () => {
|
||||||
const table = basicTable()
|
const table = basicTable()
|
||||||
table.dataImport = {
|
table.rows = [{ name: 'test-name', description: 'test-desc' }]
|
||||||
csvString: "\"name\",\"description\"\n\"test-name\",\"test-desc\"",
|
|
||||||
}
|
|
||||||
table.dataImport.schema = table.schema
|
|
||||||
|
|
||||||
const res = await createTable(table)
|
const res = await createTable(table)
|
||||||
|
|
||||||
expect(events.table.created).toBeCalledTimes(1)
|
expect(events.table.created).toBeCalledTimes(1)
|
||||||
expect(events.table.created).toBeCalledWith(res.body)
|
expect(events.table.created).toBeCalledWith(res.body)
|
||||||
expect(events.table.imported).toBeCalledTimes(1)
|
expect(events.table.imported).toBeCalledTimes(1)
|
||||||
expect(events.table.imported).toBeCalledWith(res.body, "csv")
|
expect(events.table.imported).toBeCalledWith(res.body)
|
||||||
expect(events.rows.imported).toBeCalledTimes(1)
|
expect(events.rows.imported).toBeCalledTimes(1)
|
||||||
expect(events.rows.imported).toBeCalledWith(res.body, "csv", 1)
|
expect(events.rows.imported).toBeCalledWith(res.body, 1)
|
||||||
})
|
})
|
||||||
|
|
||||||
it("should apply authorization to endpoint", async () => {
|
it("should apply authorization to endpoint", async () => {
|
||||||
|
@ -155,11 +152,10 @@ describe("/tables", () => {
|
||||||
it("imports rows successfully", async () => {
|
it("imports rows successfully", async () => {
|
||||||
const table = await config.createTable()
|
const table = await config.createTable()
|
||||||
const importRequest = {
|
const importRequest = {
|
||||||
dataImport: {
|
schema: table.schema,
|
||||||
csvString: "\"name\",\"description\"\n\"test-name\",\"test-desc\"",
|
rows: [{ name: 'test-name', description: 'test-desc' }]
|
||||||
schema: table.schema
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
||||||
jest.clearAllMocks()
|
jest.clearAllMocks()
|
||||||
|
|
||||||
await request
|
await request
|
||||||
|
@ -171,7 +167,7 @@ describe("/tables", () => {
|
||||||
|
|
||||||
expect(events.table.created).not.toHaveBeenCalled()
|
expect(events.table.created).not.toHaveBeenCalled()
|
||||||
expect(events.rows.imported).toBeCalledTimes(1)
|
expect(events.rows.imported).toBeCalledTimes(1)
|
||||||
expect(events.rows.imported).toBeCalledWith(table, "csv", 1)
|
expect(events.rows.imported).toBeCalledWith(table, 1)
|
||||||
})
|
})
|
||||||
})
|
})
|
||||||
|
|
||||||
|
@ -206,24 +202,6 @@ describe("/tables", () => {
|
||||||
})
|
})
|
||||||
})
|
})
|
||||||
|
|
||||||
describe("validate csv", () => {
|
|
||||||
it("should be able to validate a CSV layout", async () => {
|
|
||||||
const res = await request
|
|
||||||
.post(`/api/tables/csv/validate`)
|
|
||||||
.send({
|
|
||||||
csvString: "a,b,c,d\n1,2,3,4"
|
|
||||||
})
|
|
||||||
.set(config.defaultHeaders())
|
|
||||||
.expect('Content-Type', /json/)
|
|
||||||
.expect(200)
|
|
||||||
expect(res.body.schema).toBeDefined()
|
|
||||||
expect(res.body.schema.a).toEqual({
|
|
||||||
type: "string",
|
|
||||||
success: true,
|
|
||||||
})
|
|
||||||
})
|
|
||||||
})
|
|
||||||
|
|
||||||
describe("indexing", () => {
|
describe("indexing", () => {
|
||||||
it("should be able to create a table with indexes", async () => {
|
it("should be able to create a table with indexes", async () => {
|
||||||
await context.doInAppContext(appId, async () => {
|
await context.doInAppContext(appId, async () => {
|
||||||
|
|
|
@ -18,7 +18,7 @@ export function tableValidator() {
|
||||||
schema: Joi.object().required(),
|
schema: Joi.object().required(),
|
||||||
name: Joi.string().required(),
|
name: Joi.string().required(),
|
||||||
views: Joi.object(),
|
views: Joi.object(),
|
||||||
dataImport: Joi.object(),
|
rows: Joi.array(),
|
||||||
}).unknown(true))
|
}).unknown(true))
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -1,161 +0,0 @@
|
||||||
import { FieldSchema, Table } from "@budibase/types"
|
|
||||||
import csv from "csvtojson"
|
|
||||||
import { FieldTypes } from "../constants"
|
|
||||||
|
|
||||||
type CsvParseOpts = {
|
|
||||||
schema?: { [key: string]: any }
|
|
||||||
existingTable: Table
|
|
||||||
csvString?: string
|
|
||||||
}
|
|
||||||
|
|
||||||
const VALIDATORS: any = {
|
|
||||||
[FieldTypes.STRING]: () => true,
|
|
||||||
[FieldTypes.OPTIONS]: () => true,
|
|
||||||
[FieldTypes.BARCODEQR]: () => true,
|
|
||||||
[FieldTypes.NUMBER]: (attribute?: string) => {
|
|
||||||
// allow not to be present
|
|
||||||
if (!attribute) {
|
|
||||||
return true
|
|
||||||
}
|
|
||||||
return !isNaN(Number(attribute))
|
|
||||||
},
|
|
||||||
[FieldTypes.DATETIME]: (attribute?: string) => {
|
|
||||||
// allow not to be present
|
|
||||||
if (!attribute) {
|
|
||||||
return true
|
|
||||||
}
|
|
||||||
return !isNaN(new Date(attribute).getTime())
|
|
||||||
},
|
|
||||||
}
|
|
||||||
|
|
||||||
const PARSERS: any = {
|
|
||||||
[FieldTypes.NUMBER]: (attribute?: string) => {
|
|
||||||
if (!attribute) {
|
|
||||||
return attribute
|
|
||||||
}
|
|
||||||
return Number(attribute)
|
|
||||||
},
|
|
||||||
[FieldTypes.DATETIME]: (attribute?: string) => {
|
|
||||||
if (!attribute) {
|
|
||||||
return attribute
|
|
||||||
}
|
|
||||||
return new Date(attribute).toISOString()
|
|
||||||
},
|
|
||||||
}
|
|
||||||
|
|
||||||
export function parse(csvString: string, parsers: any): Record<string, any> {
|
|
||||||
const result = csv().fromString(csvString)
|
|
||||||
|
|
||||||
const schema: Record<string, any> = {}
|
|
||||||
|
|
||||||
return new Promise((resolve, reject) => {
|
|
||||||
result.on("header", headers => {
|
|
||||||
for (let header of headers) {
|
|
||||||
schema[header] = {
|
|
||||||
type: parsers[header] ? parsers[header].type : "string",
|
|
||||||
success: true,
|
|
||||||
}
|
|
||||||
}
|
|
||||||
})
|
|
||||||
result.subscribe(row => {
|
|
||||||
// For each CSV row parse all the columns that need parsed
|
|
||||||
for (let key of Object.keys(parsers)) {
|
|
||||||
if (!schema[key] || schema[key].success) {
|
|
||||||
// get the validator for the column type
|
|
||||||
const validator = VALIDATORS[parsers[key].type]
|
|
||||||
|
|
||||||
try {
|
|
||||||
// allow null/undefined values
|
|
||||||
schema[key].success = !row[key] || validator(row[key])
|
|
||||||
} catch (err) {
|
|
||||||
schema[key].success = false
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
})
|
|
||||||
result.on("done", error => {
|
|
||||||
if (error) {
|
|
||||||
console.error(error)
|
|
||||||
reject(error)
|
|
||||||
}
|
|
||||||
|
|
||||||
resolve(schema)
|
|
||||||
})
|
|
||||||
})
|
|
||||||
}
|
|
||||||
|
|
||||||
export function updateSchema({
|
|
||||||
schema,
|
|
||||||
existingTable,
|
|
||||||
}: {
|
|
||||||
schema?: Record<string, any>
|
|
||||||
existingTable?: Table
|
|
||||||
}) {
|
|
||||||
if (!schema) {
|
|
||||||
return schema
|
|
||||||
}
|
|
||||||
const finalSchema: Record<string, FieldSchema> = {}
|
|
||||||
const schemaKeyMap: Record<string, any> = {}
|
|
||||||
Object.keys(schema).forEach(key => (schemaKeyMap[key.toLowerCase()] = key))
|
|
||||||
for (let [key, field] of Object.entries(existingTable?.schema || {})) {
|
|
||||||
const lcKey = key.toLowerCase()
|
|
||||||
const foundKey: string = schemaKeyMap[lcKey]
|
|
||||||
if (foundKey) {
|
|
||||||
finalSchema[key] = schema[foundKey]
|
|
||||||
finalSchema[key].type = field.type
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return finalSchema
|
|
||||||
}
|
|
||||||
|
|
||||||
export async function transform({
|
|
||||||
schema,
|
|
||||||
csvString,
|
|
||||||
existingTable,
|
|
||||||
}: CsvParseOpts) {
|
|
||||||
if (!schema || !csvString) {
|
|
||||||
throw new Error("Unable to transform CSV without schema")
|
|
||||||
}
|
|
||||||
const colParser: any = {}
|
|
||||||
|
|
||||||
// make sure the table has all the columns required for import
|
|
||||||
if (existingTable) {
|
|
||||||
schema = updateSchema({ schema, existingTable })
|
|
||||||
}
|
|
||||||
|
|
||||||
for (let [key, field] of Object.entries(schema || {})) {
|
|
||||||
// don't import data to auto columns
|
|
||||||
if (!field.autocolumn) {
|
|
||||||
colParser[key] = PARSERS[field.type] || field.type
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
try {
|
|
||||||
const data = await csv({ colParser }).fromString(csvString)
|
|
||||||
const schemaKeyMap: any = {}
|
|
||||||
Object.keys(schema || {}).forEach(
|
|
||||||
key => (schemaKeyMap[key.toLowerCase()] = key)
|
|
||||||
)
|
|
||||||
for (let element of data) {
|
|
||||||
if (!data) {
|
|
||||||
continue
|
|
||||||
}
|
|
||||||
for (let key of Object.keys(element)) {
|
|
||||||
const mappedKey = schemaKeyMap[key.toLowerCase()]
|
|
||||||
// isn't a column in the table, remove it
|
|
||||||
if (mappedKey == null) {
|
|
||||||
delete element[key]
|
|
||||||
}
|
|
||||||
// casing is different, fix it in row
|
|
||||||
else if (key !== mappedKey) {
|
|
||||||
element[mappedKey] = element[key]
|
|
||||||
delete element[key]
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
return data
|
|
||||||
} catch (err) {
|
|
||||||
console.error(`Error transforming CSV to JSON for data import`, err)
|
|
||||||
throw err
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -0,0 +1,141 @@
|
||||||
|
import { FieldTypes } from "../constants"
|
||||||
|
|
||||||
|
interface SchemaColumn {
|
||||||
|
readonly name: string
|
||||||
|
readonly type: FieldTypes
|
||||||
|
readonly autocolumn?: boolean
|
||||||
|
}
|
||||||
|
|
||||||
|
interface Schema {
|
||||||
|
readonly [index: string]: SchemaColumn
|
||||||
|
}
|
||||||
|
|
||||||
|
interface Row {
|
||||||
|
[index: string]: any
|
||||||
|
}
|
||||||
|
|
||||||
|
type Rows = Array<Row>
|
||||||
|
|
||||||
|
interface SchemaValidation {
|
||||||
|
[index: string]: boolean
|
||||||
|
}
|
||||||
|
|
||||||
|
interface ValidationResults {
|
||||||
|
schemaValidation: SchemaValidation
|
||||||
|
allValid: boolean
|
||||||
|
invalidColumns: Array<string>
|
||||||
|
}
|
||||||
|
|
||||||
|
const PARSERS: any = {
|
||||||
|
[FieldTypes.NUMBER]: (attribute?: string) => {
|
||||||
|
if (!attribute) {
|
||||||
|
return attribute
|
||||||
|
}
|
||||||
|
return Number(attribute)
|
||||||
|
},
|
||||||
|
[FieldTypes.DATETIME]: (attribute?: string) => {
|
||||||
|
if (!attribute) {
|
||||||
|
return attribute
|
||||||
|
}
|
||||||
|
return new Date(attribute).toISOString()
|
||||||
|
},
|
||||||
|
}
|
||||||
|
|
||||||
|
export function isSchema(schema: any): schema is Schema {
|
||||||
|
return (
|
||||||
|
typeof schema === "object" &&
|
||||||
|
Object.values(schema).every(rawColumn => {
|
||||||
|
const column = rawColumn as SchemaColumn
|
||||||
|
|
||||||
|
return (
|
||||||
|
column !== null &&
|
||||||
|
typeof column === "object" &&
|
||||||
|
typeof column.type === "string" &&
|
||||||
|
Object.values(FieldTypes).includes(column.type as FieldTypes)
|
||||||
|
)
|
||||||
|
})
|
||||||
|
)
|
||||||
|
}
|
||||||
|
|
||||||
|
export function isRows(rows: any): rows is Rows {
|
||||||
|
return Array.isArray(rows) && rows.every(row => typeof row === "object")
|
||||||
|
}
|
||||||
|
|
||||||
|
export function validate(rows: Rows, schema: Schema): ValidationResults {
|
||||||
|
const results: ValidationResults = {
|
||||||
|
schemaValidation: {},
|
||||||
|
allValid: false,
|
||||||
|
invalidColumns: [],
|
||||||
|
}
|
||||||
|
|
||||||
|
rows.forEach(row => {
|
||||||
|
Object.entries(row).forEach(([columnName, columnData]) => {
|
||||||
|
const columnType = schema[columnName]?.type
|
||||||
|
const isAutoColumn = schema[columnName]?.autocolumn
|
||||||
|
|
||||||
|
// If the columnType is not a string, then it's not present in the schema, and should be added to the invalid columns array
|
||||||
|
if (typeof columnType !== "string") {
|
||||||
|
results.invalidColumns.push(columnName)
|
||||||
|
} else if (
|
||||||
|
// If there's no data for this field don't bother with further checks
|
||||||
|
// If the field is already marked as invalid there's no need for further checks
|
||||||
|
results.schemaValidation[columnName] === false ||
|
||||||
|
columnData == null ||
|
||||||
|
isAutoColumn
|
||||||
|
) {
|
||||||
|
return
|
||||||
|
} else if (
|
||||||
|
columnType === FieldTypes.NUMBER &&
|
||||||
|
isNaN(Number(columnData))
|
||||||
|
) {
|
||||||
|
// If provided must be a valid number
|
||||||
|
results.schemaValidation[columnName] = false
|
||||||
|
} else if (
|
||||||
|
// If provided must be a valid date
|
||||||
|
columnType === FieldTypes.DATETIME &&
|
||||||
|
isNaN(new Date(columnData).getTime())
|
||||||
|
) {
|
||||||
|
results.schemaValidation[columnName] = false
|
||||||
|
} else {
|
||||||
|
results.schemaValidation[columnName] = true
|
||||||
|
}
|
||||||
|
})
|
||||||
|
})
|
||||||
|
|
||||||
|
results.allValid =
|
||||||
|
Object.values(results.schemaValidation).length > 0 &&
|
||||||
|
Object.values(results.schemaValidation).every(column => column)
|
||||||
|
|
||||||
|
// Select unique values
|
||||||
|
results.invalidColumns = [...new Set(results.invalidColumns)]
|
||||||
|
return results
|
||||||
|
}
|
||||||
|
|
||||||
|
export function parse(rows: Rows, schema: Schema): Rows {
|
||||||
|
return rows.map(row => {
|
||||||
|
const parsedRow: Row = {}
|
||||||
|
|
||||||
|
Object.entries(row).forEach(([columnName, columnData]) => {
|
||||||
|
if (!(columnName in schema) || schema[columnName]?.autocolumn) {
|
||||||
|
// Objects can be present in the row data but not in the schema, so make sure we don't proceed in such a case
|
||||||
|
return
|
||||||
|
}
|
||||||
|
|
||||||
|
const columnType = schema[columnName].type
|
||||||
|
|
||||||
|
if (columnType === FieldTypes.NUMBER) {
|
||||||
|
// If provided must be a valid number
|
||||||
|
parsedRow[columnName] = columnData ? Number(columnData) : columnData
|
||||||
|
} else if (columnType === FieldTypes.DATETIME) {
|
||||||
|
// If provided must be a valid date
|
||||||
|
parsedRow[columnName] = columnData
|
||||||
|
? new Date(columnData).toISOString()
|
||||||
|
: columnData
|
||||||
|
} else {
|
||||||
|
parsedRow[columnName] = columnData
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
return parsedRow
|
||||||
|
})
|
||||||
|
}
|
|
@ -1,15 +0,0 @@
|
||||||
// Jest Snapshot v1, https://goo.gl/fbAQLP
|
|
||||||
|
|
||||||
exports[`CSV Parser transformation transforms a CSV file into JSON 1`] = `
|
|
||||||
Array [
|
|
||||||
Object {
|
|
||||||
"Age": 4324,
|
|
||||||
},
|
|
||||||
Object {
|
|
||||||
"Age": 34,
|
|
||||||
},
|
|
||||||
Object {
|
|
||||||
"Age": 23423,
|
|
||||||
},
|
|
||||||
]
|
|
||||||
`;
|
|
|
@ -1,112 +0,0 @@
|
||||||
const { readFileSync } = require("../fileSystem")
|
|
||||||
const csvParser = require("../csvParser")
|
|
||||||
|
|
||||||
const CSV_PATH = __dirname + "/test.csv"
|
|
||||||
|
|
||||||
const SCHEMAS = {
|
|
||||||
VALID: {
|
|
||||||
Age: {
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
},
|
|
||||||
INVALID: {
|
|
||||||
Address: {
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
Age: {
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
},
|
|
||||||
IGNORE: {
|
|
||||||
Address: {
|
|
||||||
type: "omit",
|
|
||||||
},
|
|
||||||
Age: {
|
|
||||||
type: "omit",
|
|
||||||
},
|
|
||||||
Name: {
|
|
||||||
type: "string",
|
|
||||||
},
|
|
||||||
},
|
|
||||||
BROKEN: {
|
|
||||||
Address: {
|
|
||||||
type: "datetime",
|
|
||||||
},
|
|
||||||
},
|
|
||||||
}
|
|
||||||
|
|
||||||
describe("CSV Parser", () => {
|
|
||||||
const csvString = readFileSync(CSV_PATH, "utf8")
|
|
||||||
|
|
||||||
describe("parsing", () => {
|
|
||||||
it("returns status and types for a valid CSV transformation", async () => {
|
|
||||||
expect(await csvParser.parse(csvString, SCHEMAS.VALID)).toEqual({
|
|
||||||
Address: {
|
|
||||||
success: true,
|
|
||||||
type: "string",
|
|
||||||
},
|
|
||||||
Age: {
|
|
||||||
success: true,
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
Name: {
|
|
||||||
success: true,
|
|
||||||
type: "string",
|
|
||||||
},
|
|
||||||
})
|
|
||||||
})
|
|
||||||
|
|
||||||
it("returns status and types for an invalid CSV transformation", async () => {
|
|
||||||
expect(await csvParser.parse(csvString, SCHEMAS.INVALID)).toEqual({
|
|
||||||
Address: {
|
|
||||||
success: false,
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
Age: {
|
|
||||||
success: true,
|
|
||||||
type: "number",
|
|
||||||
},
|
|
||||||
Name: {
|
|
||||||
success: true,
|
|
||||||
type: "string",
|
|
||||||
},
|
|
||||||
})
|
|
||||||
})
|
|
||||||
})
|
|
||||||
|
|
||||||
describe("transformation", () => {
|
|
||||||
it("transforms a CSV file into JSON", async () => {
|
|
||||||
expect(
|
|
||||||
await csvParser.transform({
|
|
||||||
schema: SCHEMAS.VALID,
|
|
||||||
csvString,
|
|
||||||
})
|
|
||||||
).toMatchSnapshot()
|
|
||||||
})
|
|
||||||
|
|
||||||
it("transforms a CSV file into JSON ignoring certain fields", async () => {
|
|
||||||
expect(
|
|
||||||
await csvParser.transform({
|
|
||||||
schema: SCHEMAS.IGNORE,
|
|
||||||
csvString,
|
|
||||||
})
|
|
||||||
).toEqual([
|
|
||||||
{
|
|
||||||
Name: "Bertå",
|
|
||||||
},
|
|
||||||
{
|
|
||||||
Name: "Ernie",
|
|
||||||
},
|
|
||||||
{
|
|
||||||
Name: "Big Bird",
|
|
||||||
},
|
|
||||||
])
|
|
||||||
})
|
|
||||||
|
|
||||||
it("throws an error on invalid schema", async () => {
|
|
||||||
await expect(
|
|
||||||
csvParser.transform({ schema: SCHEMAS.BROKEN, csvString })
|
|
||||||
).rejects.toThrow()
|
|
||||||
})
|
|
||||||
})
|
|
||||||
})
|
|
|
@ -69,7 +69,7 @@ export interface Table extends Document {
|
||||||
constrained?: string[]
|
constrained?: string[]
|
||||||
sql?: boolean
|
sql?: boolean
|
||||||
indexes?: { [key: string]: any }
|
indexes?: { [key: string]: any }
|
||||||
dataImport?: { [key: string]: any }
|
rows?: { [key: string]: any }
|
||||||
}
|
}
|
||||||
|
|
||||||
export interface TableRequest extends Table {
|
export interface TableRequest extends Table {
|
||||||
|
|
|
@ -185,6 +185,4 @@ export interface BaseEvent {
|
||||||
hosting?: Hosting
|
hosting?: Hosting
|
||||||
}
|
}
|
||||||
|
|
||||||
export type RowImportFormat = "csv"
|
|
||||||
export type TableExportFormat = "json" | "csv"
|
export type TableExportFormat = "json" | "csv"
|
||||||
export type TableImportFormat = "csv"
|
|
||||||
|
|
|
@ -1,8 +1,7 @@
|
||||||
import { BaseEvent, RowImportFormat } from "./event"
|
import { BaseEvent } from "./event"
|
||||||
|
|
||||||
export interface RowsImportedEvent extends BaseEvent {
|
export interface RowsImportedEvent extends BaseEvent {
|
||||||
tableId: string
|
tableId: string
|
||||||
format: RowImportFormat
|
|
||||||
count: number
|
count: number
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
|
@ -1,4 +1,4 @@
|
||||||
import { BaseEvent, TableExportFormat, TableImportFormat } from "./event"
|
import { BaseEvent, TableExportFormat } from "./event"
|
||||||
|
|
||||||
export interface TableCreatedEvent extends BaseEvent {
|
export interface TableCreatedEvent extends BaseEvent {
|
||||||
tableId: string
|
tableId: string
|
||||||
|
@ -19,5 +19,4 @@ export interface TableExportedEvent extends BaseEvent {
|
||||||
|
|
||||||
export interface TableImportedEvent extends BaseEvent {
|
export interface TableImportedEvent extends BaseEvent {
|
||||||
tableId: string
|
tableId: string
|
||||||
format: TableImportFormat
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -6,10 +6,6 @@ export const generateTable = (): Table => {
|
||||||
schema: {},
|
schema: {},
|
||||||
sourceId: "bb_internal",
|
sourceId: "bb_internal",
|
||||||
type: "internal",
|
type: "internal",
|
||||||
dataImport: {
|
|
||||||
valid: true,
|
|
||||||
schema: {},
|
|
||||||
},
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue