542 lines
18 KiB
TypeScript
542 lines
18 KiB
TypeScript
import {
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Operation,
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SearchFilters,
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SortJson,
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PaginationJson,
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RelationshipsJson,
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} from "../../../definitions/datasource"
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import {
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Row,
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Table,
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FieldSchema,
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Datasource,
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} from "../../../definitions/common"
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import {
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breakRowIdField,
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generateRowIdField,
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} from "../../../integrations/utils"
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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]: 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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}
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module External {
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const { makeExternalQuery } = require("./utils")
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const { DataSourceOperation, FieldTypes } = require("../../../constants")
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const { breakExternalTableId, isSQL } = require("../../../integrations/utils")
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const { processObjectSync } = require("@budibase/string-templates")
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const { cloneDeep } = require("lodash/fp")
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const { isEqual } = require("lodash")
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const CouchDB = require("../../../db")
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function buildFilters(
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id: string | undefined,
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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 = 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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function generateIdForRow(row: Row, 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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const fieldValue = row[`${table.name}.${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) {
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const thisRow: { [key: string]: any } = {}
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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 value = row[`${table.name}.${fieldName}`]
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// all responses include "select col as table.col" so that overlaps are handled
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if (value) {
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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 thisRow
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}
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function isMany(field: FieldSchema) {
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return (
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field.relationshipType && field.relationshipType.split("-")[0] === "many"
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)
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}
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class ExternalRequest {
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private readonly appId: string
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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(
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appId: string,
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operation: Operation,
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tableId: string,
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datasource: Datasource
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) {
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this.appId = appId
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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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inputProcessing(row: Row, 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 (!row[key] || newRow[key] || field.autocolumn) {
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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(field.tableId)
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// table has to exist for many to many
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if (!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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if (!isMany(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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} else {
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// we're not inserting a doc, will be a bunch of update calls
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const isUpdate = !field.through
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const thisKey: string = isUpdate ? "id" : linkTablePrimary
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// @ts-ignore
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const otherKey: string = isUpdate ? field.fieldName : tablePrimary
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row[key].map((relationship: any) => {
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// we don't really support composite keys for relationships, this is why [0] is used
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manyRelationships.push({
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tableId: field.through || field.tableId,
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isUpdate,
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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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/**
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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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*/
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updateRelationshipColumns(
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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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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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// if not returning full docs then get the minimal links out
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const display = linkedTable.primaryDisplay
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linked = {
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primaryDisplay: display ? linked[display] : undefined,
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_id: linked._id,
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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[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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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 = basicProcessing(row, table)
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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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row,
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finalRows,
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relationships
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)
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}
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return Object.values(finalRows)
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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 (!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 = {
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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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through: undefined,
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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 = table.primary[0]
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definition.to = 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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* 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 lookup(
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row: Row,
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relationship: ManyRelationship,
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cache: { [key: string]: Row[] } = {}
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) {
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const { tableId, isUpdate, id, ...rest } = relationship
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const { tableName } = breakExternalTableId(tableId)
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const table = this.tables[tableName]
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if (isUpdate) {
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return { rows: [], table }
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}
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// if not updating need to make sure we have a list of all possible options
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let fullKey: string = tableId + "/",
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rowKey: string = ""
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for (let key of Object.keys(rest)) {
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if (row[key]) {
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fullKey += key
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rowKey = key
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}
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}
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if (cache[fullKey] == null) {
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const response = await makeExternalQuery(this.appId, {
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endpoint: getEndpoint(tableId, DataSourceOperation.READ),
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filters: {
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equal: {
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[rowKey]: row[rowKey],
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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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if (!response[0].read) {
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cache[fullKey] = response
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}
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}
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return { rows: cache[fullKey] || [], table }
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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:
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* 1. If updating foreign keys its relatively simple, just create a filter for the row that needs updated
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* and write the various components.
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* 2. If junction table, then we lookup what exists already, write what doesn't exist, work out what
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* isn't supposed to exist anymore and delete those. This is better than the usual method of delete them
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* all and then re-create, as theres no chance of losing data (e.g. delete succeed, but write fail).
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*/
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async handleManyRelationships(row: Row, relationships: ManyRelationship[]) {
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const { appId } = this
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if (relationships.length === 0) {
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return
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}
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// if we're creating (in a through table) need to wipe the existing ones first
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const promises = []
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const cache: { [key: string]: Row[] } = {}
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for (let relationship of relationships) {
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const { tableId, isUpdate, id, ...rest } = relationship
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const body = processObjectSync(rest, row)
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const { table, rows } = await this.lookup(row, relationship, cache)
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const found = rows.find(row => isEqual(body, row))
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const operation = isUpdate
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? DataSourceOperation.UPDATE
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: DataSourceOperation.CREATE
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if (!found) {
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promises.push(
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makeExternalQuery(appId, {
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endpoint: getEndpoint(tableId, operation),
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// if we're doing many relationships then we're writing, only one response
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body,
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filters: buildFilters(id, {}, table),
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})
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)
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} else {
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// remove the relationship from the rows
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rows.splice(rows.indexOf(found), 1)
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}
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}
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// finally if creating, cleanup any rows that aren't supposed to be here
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for (let [key, rows] of Object.entries(cache)) {
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// @ts-ignore
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const tableId: string = key.split("/").shift()
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const { tableName } = breakExternalTableId(tableId)
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const table = this.tables[tableName]
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for (let row of rows) {
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const filters = buildFilters(generateIdForRow(row, table), {}, table)
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// safety check, if there are no filters on deletion bad things happen
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if (Object.keys(filters).length !== 0) {
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promises.push(
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makeExternalQuery(this.appId, {
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endpoint: getEndpoint(tableId, DataSourceOperation.DELETE),
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filters,
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})
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)
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}
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}
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}
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await Promise.all(promises)
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}
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/**
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* This function is a bit crazy, but the exact purpose of it is to protect against the scenario in which
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* you have column overlap in relationships, e.g. we join a few different tables and they all have the
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* concept of an ID, but for some of them it will be null (if they say don't have a relationship).
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* Creating the specific list of fields that we desire, and excluding the ones that are no use to us
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* is more performant and has the added benefit of protecting against this scenario.
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*/
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buildFields(table: Table) {
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function extractNonLinkFieldNames(table: Table, existing: string[] = []) {
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return Object.entries(table.schema)
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.filter(
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column =>
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column[1].type !== FieldTypes.LINK &&
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!existing.find((field: string) => field === column[0])
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)
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.map(column => `${table.name}.${column[0]}`)
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}
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let fields = extractNonLinkFieldNames(table)
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for (let field of Object.values(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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const linkTable = this.tables[linkTableName]
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if (linkTable) {
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const linkedFields = extractNonLinkFieldNames(linkTable, fields)
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fields = fields.concat(linkedFields)
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}
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}
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return fields
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}
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async run({ id, row, filters, sort, paginate }: RunConfig) {
|
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const { appId, operation, tableId } = this
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let { datasourceId, tableName } = breakExternalTableId(tableId)
|
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if (!this.datasource) {
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const db = new CouchDB(appId)
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this.datasource = await db.get(datasourceId)
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if (!this.datasource || !this.datasource.entities) {
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throw "No tables found, fetch tables before query."
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}
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this.tables = this.datasource.entities
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}
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const table = this.tables[tableName]
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let isSql = isSQL(this.datasource)
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if (!table) {
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throw `Unable to process query, table "${tableName}" not defined.`
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}
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// clean up row on ingress using schema
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filters = buildFilters(id, filters, table)
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const relationships = this.buildRelationships(table)
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const processed = this.inputProcessing(row, table)
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row = processed.row
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if (
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operation === DataSourceOperation.DELETE &&
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(filters == null || Object.keys(filters).length === 0)
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) {
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throw "Deletion must be filtered"
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}
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let json = {
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endpoint: {
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datasourceId,
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entityId: tableName,
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operation,
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},
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resource: {
|
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// have to specify the fields to avoid column overlap (for SQL)
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fields: isSql ? this.buildFields(table) : [],
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},
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filters,
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sort,
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paginate,
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relationships,
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body: row,
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// pass an id filter into extra, purely for mysql/returning
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extra: {
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idFilter: buildFilters(id || generateIdForRow(row, table), {}, table),
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},
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}
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// can't really use response right now
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const response = await makeExternalQuery(appId, json)
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// handle many to many relationships now if we know the ID (could be auto increment)
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if (processed.manyRelationships) {
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await this.handleManyRelationships(
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response[0],
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processed.manyRelationships
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)
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}
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const output = this.outputProcessing(response, table, relationships)
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// if reading it'll just be an array of rows, return whole thing
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return operation === DataSourceOperation.READ && Array.isArray(response)
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? output
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: { row: output[0], table }
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}
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}
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module.exports = ExternalRequest
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}
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