745 lines
25 KiB
TypeScript
745 lines
25 KiB
TypeScript
import {
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FilterType,
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IncludeRelationship,
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Operation,
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PaginationJson,
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RelationshipsJson,
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SearchFilters,
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SortJson,
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Datasource,
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FieldSchema,
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Row,
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Table,
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} from "@budibase/types"
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import {
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breakRowIdField,
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generateRowIdField,
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isRowId,
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convertRowId,
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} from "../../../integrations/utils"
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import { getDatasourceAndQuery } from "./utils"
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import {
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DataSourceOperation,
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FieldTypes,
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RelationshipTypes,
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} from "../../../constants"
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import { breakExternalTableId, isSQL } from "../../../integrations/utils"
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import { processObjectSync } from "@budibase/string-templates"
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// @ts-ignore
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import { cloneDeep } from "lodash/fp"
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import {
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processFormulas,
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processDates,
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} from "../../../utilities/rowProcessor/utils"
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// @ts-ignore
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import { getAppDB } from "@budibase/backend-core/context"
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interface ManyRelationship {
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tableId?: string
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id?: string
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isUpdate?: boolean
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key: string
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[key: string]: any
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}
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interface RunConfig {
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id?: string
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filters?: SearchFilters
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sort?: SortJson
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paginate?: PaginationJson
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row?: Row
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rows?: Row[]
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}
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module External {
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function buildFilters(
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id: string | undefined | string[],
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filters: SearchFilters,
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table: Table
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) {
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const primary = table.primary
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// if passed in array need to copy for shifting etc
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let idCopy: undefined | string | any[] = cloneDeep(id)
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if (filters) {
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// need to map over the filters and make sure the _id field isn't present
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for (let filter of Object.values(filters)) {
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if (filter._id && primary) {
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const parts = breakRowIdField(filter._id)
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for (let field of primary) {
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filter[field] = parts.shift()
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}
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}
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// make sure this field doesn't exist on any filter
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delete filter._id
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}
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}
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// there is no id, just use the user provided filters
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if (!idCopy || !table) {
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return filters
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}
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// if used as URL parameter it will have been joined
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if (!Array.isArray(idCopy)) {
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idCopy = breakRowIdField(idCopy)
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}
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const equal: any = {}
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if (primary && idCopy) {
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for (let field of primary) {
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// work through the ID and get the parts
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equal[field] = idCopy.shift()
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}
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}
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return {
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equal,
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}
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}
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/**
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* This function checks the incoming parameters to make sure all the inputs are
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* valid based on on the table schema. The main thing this is looking for is when a
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* user has made use of the _id field of a row for a foreign key or a search parameter.
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* In these cases the key will be sent up as [1], rather than 1. In these cases we will
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* simplify it down to the requirements. This function is quite complex as we try to be
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* relatively restrictive over what types of columns we will perform this action for.
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*/
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function cleanupConfig(config: RunConfig, table: Table): RunConfig {
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const primaryOptions = [
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FieldTypes.STRING,
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FieldTypes.LONGFORM,
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FieldTypes.OPTIONS,
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FieldTypes.NUMBER,
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]
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// filter out fields which cannot be keys
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const fieldNames = Object.entries(table.schema)
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.filter(schema => primaryOptions.find(val => val === schema[1].type))
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.map(([fieldName]) => fieldName)
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const iterateObject = (obj: { [key: string]: any }) => {
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for (let [field, value] of Object.entries(obj)) {
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if (fieldNames.find(name => name === field) && isRowId(value)) {
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obj[field] = convertRowId(value)
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}
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}
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}
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// check the row and filters to make sure they aren't a key of some sort
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if (config.filters) {
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for (let [key, filter] of Object.entries(config.filters)) {
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// oneOf is an array, don't iterate it
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if (
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typeof filter !== "object" ||
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Object.keys(filter).length === 0 ||
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key === FilterType.ONE_OF
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) {
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continue
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}
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iterateObject(filter)
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}
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}
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if (config.row) {
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iterateObject(config.row)
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}
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return config
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}
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function generateIdForRow(row: Row | undefined, table: Table): string {
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const primary = table.primary
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if (!row || !primary) {
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return ""
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}
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// build id array
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let idParts = []
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for (let field of primary) {
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// need to handle table name + field or just field, depending on if relationships used
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const fieldValue = row[`${table.name}.${field}`] || row[field]
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if (fieldValue) {
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idParts.push(fieldValue)
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}
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}
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if (idParts.length === 0) {
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return ""
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}
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return generateRowIdField(idParts)
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}
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function getEndpoint(tableId: string | undefined, operation: string) {
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if (!tableId) {
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return {}
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}
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const { datasourceId, tableName } = breakExternalTableId(tableId)
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return {
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datasourceId,
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entityId: tableName,
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operation,
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}
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}
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function basicProcessing(row: Row, table: Table): Row {
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const thisRow: Row = {}
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// filter the row down to what is actually the row (not joined)
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for (let fieldName of Object.keys(table.schema)) {
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const pathValue = row[`${table.name}.${fieldName}`]
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const value = pathValue != null ? pathValue : row[fieldName]
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// all responses include "select col as table.col" so that overlaps are handled
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if (value != null) {
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thisRow[fieldName] = value
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}
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}
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thisRow._id = generateIdForRow(row, table)
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thisRow.tableId = table._id
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thisRow._rev = "rev"
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return processFormulas(table, thisRow)
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}
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function fixArrayTypes(row: Row, table: Table) {
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for (let [fieldName, schema] of Object.entries(table.schema)) {
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if (
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schema.type === FieldTypes.ARRAY &&
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typeof row[fieldName] === "string"
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) {
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try {
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row[fieldName] = JSON.parse(row[fieldName])
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} catch (err) {
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// couldn't convert back to array, ignore
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delete row[fieldName]
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}
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}
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}
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return row
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}
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function isOneSide(field: FieldSchema) {
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return (
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field.relationshipType && field.relationshipType.split("-")[0] === "one"
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)
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}
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class ExternalRequest {
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private operation: Operation
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private tableId: string
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private datasource: Datasource
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private tables: { [key: string]: Table } = {}
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constructor(operation: Operation, tableId: string, datasource: Datasource) {
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this.operation = operation
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this.tableId = tableId
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this.datasource = datasource
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if (datasource && datasource.entities) {
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this.tables = datasource.entities
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}
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}
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getTable(tableId: string | undefined): Table | undefined {
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if (!tableId) {
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throw "Table ID is unknown, cannot find table"
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}
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const { tableName } = breakExternalTableId(tableId)
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if (tableName) {
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return this.tables[tableName]
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}
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}
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inputProcessing(row: Row | undefined, table: Table) {
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if (!row) {
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return { row, manyRelationships: [] }
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}
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// we don't really support composite keys for relationships, this is why [0] is used
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// @ts-ignore
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const tablePrimary: string = table.primary[0]
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let newRow: Row = {},
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manyRelationships: ManyRelationship[] = []
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for (let [key, field] of Object.entries(table.schema)) {
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// if set already, or not set just skip it
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if (
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row[key] == null ||
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newRow[key] ||
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field.autocolumn ||
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field.type === FieldTypes.FORMULA
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) {
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continue
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}
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// if its an empty string then it means return the column to null (if possible)
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if (row[key] === "") {
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newRow[key] = null
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continue
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}
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// parse floats/numbers
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if (field.type === FieldTypes.NUMBER && !isNaN(parseFloat(row[key]))) {
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newRow[key] = parseFloat(row[key])
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}
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// if its not a link then just copy it over
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if (field.type !== FieldTypes.LINK) {
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newRow[key] = row[key]
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continue
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}
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const { tableName: linkTableName } = breakExternalTableId(
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field?.tableId
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)
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// table has to exist for many to many
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if (!linkTableName || !this.tables[linkTableName]) {
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continue
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}
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const linkTable = this.tables[linkTableName]
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// @ts-ignore
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const linkTablePrimary = linkTable.primary[0]
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// one to many
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if (isOneSide(field)) {
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newRow[field.foreignKey || linkTablePrimary] = breakRowIdField(
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row[key][0]
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)[0]
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}
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// many to many
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else if (field.through) {
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// we're not inserting a doc, will be a bunch of update calls
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const otherKey: string = field.throughFrom || linkTablePrimary
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const thisKey: string = field.throughTo || tablePrimary
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row[key].map((relationship: any) => {
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manyRelationships.push({
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tableId: field.through || field.tableId,
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isUpdate: false,
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key: otherKey,
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[otherKey]: breakRowIdField(relationship)[0],
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// leave the ID for enrichment later
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[thisKey]: `{{ literal ${tablePrimary} }}`,
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})
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})
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}
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// many to one
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else {
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const thisKey: string = "id"
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// @ts-ignore
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const otherKey: string = field.fieldName
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row[key].map((relationship: any) => {
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manyRelationships.push({
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tableId: field.tableId,
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isUpdate: true,
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key: otherKey,
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[thisKey]: breakRowIdField(relationship)[0],
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// leave the ID for enrichment later
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[otherKey]: `{{ literal ${tablePrimary} }}`,
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})
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})
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}
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}
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// we return the relationships that may need to be created in the through table
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// we do this so that if the ID is generated by the DB it can be inserted
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// after the fact
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return { row: newRow, manyRelationships }
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}
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squashRelationshipColumns(
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table: Table,
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row: Row,
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relationships: RelationshipsJson[]
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): Row {
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for (let relationship of relationships) {
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const linkedTable = this.tables[relationship.tableName]
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if (!linkedTable || !row[relationship.column]) {
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continue
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}
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const display = linkedTable.primaryDisplay
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for (let key of Object.keys(row[relationship.column])) {
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const related: Row = row[relationship.column][key]
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row[relationship.column][key] = {
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primaryDisplay: display ? related[display] : undefined,
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_id: related._id,
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}
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}
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}
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return row
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}
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/**
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* This iterates through the returned rows and works out what elements of the rows
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* actually match up to another row (based on primary keys) - this is pretty specific
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* to SQL and the way that SQL relationships are returned based on joins.
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* This is complicated, but the idea is that when a SQL query returns all the relations
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* will be separate rows, with all of the data in each row. We have to decipher what comes
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* from where (which tables) and how to convert that into budibase columns.
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*/
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updateRelationshipColumns(
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table: Table,
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row: Row,
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rows: { [key: string]: Row },
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relationships: RelationshipsJson[]
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) {
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const columns: { [key: string]: any } = {}
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for (let relationship of relationships) {
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const linkedTable = this.tables[relationship.tableName]
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if (!linkedTable) {
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continue
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}
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const fromColumn = `${table.name}.${relationship.from}`
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const toColumn = `${linkedTable.name}.${relationship.to}`
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// this is important when working with multiple relationships
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// between the same tables, don't want to overlap/multiply the relations
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if (!relationship.through && row[fromColumn] !== row[toColumn]) {
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continue
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}
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let linked = basicProcessing(row, linkedTable)
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if (!linked._id) {
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continue
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}
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columns[relationship.column] = linked
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}
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for (let [column, related] of Object.entries(columns)) {
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if (!row._id) {
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continue
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}
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const rowId: string = row._id
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if (!Array.isArray(rows[rowId][column])) {
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rows[rowId][column] = []
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}
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// make sure relationship hasn't been found already
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if (
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!rows[rowId][column].find(
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(relation: Row) => relation._id === related._id
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)
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) {
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rows[rowId][column].push(related)
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}
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}
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return rows
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}
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outputProcessing(
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rows: Row[] = [],
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table: Table,
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relationships: RelationshipsJson[]
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) {
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if (!rows || rows.length === 0 || rows[0].read === true) {
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return []
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}
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let finalRows: { [key: string]: Row } = {}
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for (let row of rows) {
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const rowId = generateIdForRow(row, table)
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row._id = rowId
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// this is a relationship of some sort
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if (finalRows[rowId]) {
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finalRows = this.updateRelationshipColumns(
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table,
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row,
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finalRows,
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relationships
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)
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continue
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}
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const thisRow = fixArrayTypes(basicProcessing(row, table), table)
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if (thisRow._id == null) {
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throw "Unable to generate row ID for SQL rows"
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}
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finalRows[thisRow._id] = thisRow
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// do this at end once its been added to the final rows
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finalRows = this.updateRelationshipColumns(
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table,
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row,
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finalRows,
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relationships
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)
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}
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// Process some additional data types
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let finalRowArray = Object.values(finalRows)
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finalRowArray = processDates(table, finalRowArray)
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finalRowArray = processFormulas(table, finalRowArray)
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return finalRowArray.map((row: Row) =>
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this.squashRelationshipColumns(table, row, relationships)
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)
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}
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/**
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* Gets the list of relationship JSON structures based on the columns in the table,
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* this will be used by the underlying library to build whatever relationship mechanism
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* it has (e.g. SQL joins).
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*/
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buildRelationships(table: Table): RelationshipsJson[] {
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const relationships = []
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for (let [fieldName, field] of Object.entries(table.schema)) {
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if (field.type !== FieldTypes.LINK) {
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continue
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}
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const { tableName: linkTableName } = breakExternalTableId(field.tableId)
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// no table to link to, this is not a valid relationships
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if (!linkTableName || !this.tables[linkTableName]) {
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continue
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}
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const linkTable = this.tables[linkTableName]
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if (!table.primary || !linkTable.primary) {
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continue
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}
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const definition: any = {
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// if no foreign key specified then use the name of the field in other table
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from: field.foreignKey || table.primary[0],
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to: field.fieldName,
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tableName: linkTableName,
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// need to specify where to put this back into
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column: fieldName,
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}
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if (field.through) {
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const { tableName: throughTableName } = breakExternalTableId(
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field.through
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)
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definition.through = throughTableName
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// don't support composite keys for relationships
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definition.from = field.throughTo || table.primary[0]
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definition.to = field.throughFrom || linkTable.primary[0]
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definition.fromPrimary = table.primary[0]
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definition.toPrimary = linkTable.primary[0]
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}
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relationships.push(definition)
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}
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return relationships
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}
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|
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/**
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* This is a cached lookup, of relationship records, this is mainly for creating/deleting junction
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* information.
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*/
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async lookupRelations(tableId: string, row: Row) {
|
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const related: { [key: string]: any } = {}
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const { tableName } = breakExternalTableId(tableId)
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if (!tableName) {
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return related
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}
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const table = this.tables[tableName]
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// @ts-ignore
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const primaryKey = table.primary[0]
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// make a new request to get the row with all its relationships
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// we need this to work out if any relationships need removed
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for (let field of Object.values(table.schema)) {
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if (
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field.type !== FieldTypes.LINK ||
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!field.fieldName ||
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isOneSide(field)
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) {
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continue
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}
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const isMany = field.relationshipType === RelationshipTypes.MANY_TO_MANY
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const tableId = isMany ? field.through : field.tableId
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const { tableName: relatedTableName } = breakExternalTableId(tableId)
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// @ts-ignore
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const linkPrimaryKey = this.tables[relatedTableName].primary[0]
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const manyKey = field.throughTo || primaryKey
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const lookupField = isMany ? primaryKey : field.foreignKey
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const fieldName = isMany ? manyKey : field.fieldName
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if (!lookupField || !row[lookupField]) {
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continue
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}
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const response = await getDatasourceAndQuery({
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endpoint: getEndpoint(tableId, DataSourceOperation.READ),
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filters: {
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equal: {
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[fieldName]: row[lookupField],
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},
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},
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})
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// this is the response from knex if no rows found
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const rows = !response[0].read ? response : []
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const storeTo = isMany ? field.throughFrom || linkPrimaryKey : fieldName
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related[storeTo] = { rows, isMany, tableId }
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}
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return related
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}
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/**
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* Once a row has been written we may need to update a many field, e.g. updating foreign keys
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* in a bunch of rows in another table, or inserting/deleting rows from a junction table (many to many).
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|
* This is quite a complex process and is handled by this function, there are a few things going on here:
|
|
* 1. If updating foreign keys its relatively simple, just create a filter for the row that needs updated
|
|
* and write the various components.
|
|
* 2. If junction table, then we lookup what exists already, write what doesn't exist, work out what
|
|
* isn't supposed to exist anymore and delete those. This is better than the usual method of delete them
|
|
* all and then re-create, as theres no chance of losing data (e.g. delete succeed, but write fail).
|
|
*/
|
|
async handleManyRelationships(
|
|
mainTableId: string,
|
|
row: Row,
|
|
relationships: ManyRelationship[]
|
|
) {
|
|
// if we're creating (in a through table) need to wipe the existing ones first
|
|
const promises = []
|
|
const related = await this.lookupRelations(mainTableId, row)
|
|
for (let relationship of relationships) {
|
|
const { key, tableId, isUpdate, id, ...rest } = relationship
|
|
const body: { [key: string]: any } = processObjectSync(rest, row, {})
|
|
const linkTable = this.getTable(tableId)
|
|
// @ts-ignore
|
|
const linkPrimary = linkTable?.primary[0]
|
|
if (!linkTable || !linkPrimary) {
|
|
return
|
|
}
|
|
const rows = related[key]?.rows || []
|
|
const found = rows.find(
|
|
(row: { [key: string]: any }) =>
|
|
row[linkPrimary] === relationship.id ||
|
|
row[linkPrimary] === body?.[linkPrimary]
|
|
)
|
|
const operation = isUpdate
|
|
? DataSourceOperation.UPDATE
|
|
: DataSourceOperation.CREATE
|
|
if (!found) {
|
|
promises.push(
|
|
getDatasourceAndQuery({
|
|
endpoint: getEndpoint(tableId, operation),
|
|
// if we're doing many relationships then we're writing, only one response
|
|
body,
|
|
filters: buildFilters(id, {}, linkTable),
|
|
})
|
|
)
|
|
} else {
|
|
// remove the relationship from cache so it isn't adjusted again
|
|
rows.splice(rows.indexOf(found), 1)
|
|
}
|
|
}
|
|
// finally cleanup anything that needs to be removed
|
|
for (let [colName, { isMany, rows, tableId }] of Object.entries(
|
|
related
|
|
)) {
|
|
const table: Table | undefined = this.getTable(tableId)
|
|
// if its not the foreign key skip it, nothing to do
|
|
if (
|
|
!table ||
|
|
(table.primary && table.primary.indexOf(colName) !== -1)
|
|
) {
|
|
continue
|
|
}
|
|
for (let row of rows) {
|
|
const filters = buildFilters(generateIdForRow(row, table), {}, table)
|
|
// safety check, if there are no filters on deletion bad things happen
|
|
if (Object.keys(filters).length !== 0) {
|
|
const op = isMany
|
|
? DataSourceOperation.DELETE
|
|
: DataSourceOperation.UPDATE
|
|
const body = isMany ? null : { [colName]: null }
|
|
promises.push(
|
|
getDatasourceAndQuery({
|
|
endpoint: getEndpoint(tableId, op),
|
|
body,
|
|
filters,
|
|
})
|
|
)
|
|
}
|
|
}
|
|
}
|
|
await Promise.all(promises)
|
|
}
|
|
|
|
/**
|
|
* This function is a bit crazy, but the exact purpose of it is to protect against the scenario in which
|
|
* you have column overlap in relationships, e.g. we join a few different tables and they all have the
|
|
* concept of an ID, but for some of them it will be null (if they say don't have a relationship).
|
|
* Creating the specific list of fields that we desire, and excluding the ones that are no use to us
|
|
* is more performant and has the added benefit of protecting against this scenario.
|
|
*/
|
|
buildFields(
|
|
table: Table,
|
|
includeRelations: IncludeRelationship = IncludeRelationship.INCLUDE
|
|
) {
|
|
function extractRealFields(table: Table, existing: string[] = []) {
|
|
return Object.entries(table.schema)
|
|
.filter(
|
|
column =>
|
|
column[1].type !== FieldTypes.LINK &&
|
|
column[1].type !== FieldTypes.FORMULA &&
|
|
!existing.find((field: string) => field === column[0])
|
|
)
|
|
.map(column => `${table.name}.${column[0]}`)
|
|
}
|
|
let fields = extractRealFields(table)
|
|
for (let field of Object.values(table.schema)) {
|
|
if (field.type !== FieldTypes.LINK || !includeRelations) {
|
|
continue
|
|
}
|
|
const { tableName: linkTableName } = breakExternalTableId(field.tableId)
|
|
if (linkTableName) {
|
|
const linkTable = this.tables[linkTableName]
|
|
if (linkTable) {
|
|
const linkedFields = extractRealFields(linkTable, fields)
|
|
fields = fields.concat(linkedFields)
|
|
}
|
|
}
|
|
}
|
|
return fields
|
|
}
|
|
|
|
async run(config: RunConfig) {
|
|
const { operation, tableId } = this
|
|
let { datasourceId, tableName } = breakExternalTableId(tableId)
|
|
if (!tableName) {
|
|
throw "Unable to run without a table name"
|
|
}
|
|
if (!this.datasource) {
|
|
const db = getAppDB()
|
|
this.datasource = await db.get(datasourceId)
|
|
if (!this.datasource || !this.datasource.entities) {
|
|
throw "No tables found, fetch tables before query."
|
|
}
|
|
this.tables = this.datasource.entities
|
|
}
|
|
const table = this.tables[tableName]
|
|
let isSql = isSQL(this.datasource)
|
|
if (!table) {
|
|
throw `Unable to process query, table "${tableName}" not defined.`
|
|
}
|
|
// look for specific components of config which may not be considered acceptable
|
|
let { id, row, filters, sort, paginate, rows } = cleanupConfig(
|
|
config,
|
|
table
|
|
)
|
|
filters = buildFilters(id, filters || {}, table)
|
|
const relationships = this.buildRelationships(table)
|
|
// clean up row on ingress using schema
|
|
const processed = this.inputProcessing(row, table)
|
|
row = processed.row
|
|
if (
|
|
operation === DataSourceOperation.DELETE &&
|
|
(filters == null || Object.keys(filters).length === 0)
|
|
) {
|
|
throw "Deletion must be filtered"
|
|
}
|
|
let json = {
|
|
endpoint: {
|
|
datasourceId,
|
|
entityId: tableName,
|
|
operation,
|
|
},
|
|
resource: {
|
|
// have to specify the fields to avoid column overlap (for SQL)
|
|
fields: isSql ? this.buildFields(table) : [],
|
|
},
|
|
filters,
|
|
sort,
|
|
paginate,
|
|
relationships,
|
|
body: row || rows,
|
|
// pass an id filter into extra, purely for mysql/returning
|
|
extra: {
|
|
idFilter: buildFilters(id || generateIdForRow(row, table), {}, table),
|
|
},
|
|
meta: {
|
|
table,
|
|
},
|
|
}
|
|
// can't really use response right now
|
|
const response = await getDatasourceAndQuery(json)
|
|
// handle many to many relationships now if we know the ID (could be auto increment)
|
|
if (
|
|
operation !== DataSourceOperation.READ &&
|
|
processed.manyRelationships
|
|
) {
|
|
await this.handleManyRelationships(
|
|
table._id || "",
|
|
response[0],
|
|
processed.manyRelationships
|
|
)
|
|
}
|
|
const output = this.outputProcessing(response, table, relationships)
|
|
// if reading it'll just be an array of rows, return whole thing
|
|
return operation === DataSourceOperation.READ && Array.isArray(response)
|
|
? output
|
|
: { row: output[0], table }
|
|
}
|
|
}
|
|
|
|
module.exports = ExternalRequest
|
|
}
|