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budibase/packages/standard-components/src/fetchData.js
2020-10-20 12:23:52 +01:00

87 lines
2.4 KiB
JavaScript

import api from "./api"
export default async function fetchData(datasource, store) {
const { type, name } = datasource
if (name) {
let rows = []
if (type === "table") {
rows = await fetchTableData()
} else if (type === "view") {
rows = await fetchViewData()
} else if (type === "link") {
rows = await fetchLinkedRowsData()
}
// Fetch table schema so we can check for linked rows
if (rows && rows.length) {
const table = await fetchTable()
const keys = Object.keys(table.schema)
rows.forEach(row => {
for (let key of keys) {
const type = table.schema[key].type
if (type === "link") {
row[`${key}_count`] = Array.isArray(row[key]) ? row[key].length : 0
} else if (type === "attachment") {
let url = null
if (Array.isArray(row[key]) && row[key][0] != null) {
url = row[key][0].url
}
row[`${key}_first`] = url
}
}
})
}
return rows
} else {
return []
}
async function fetchTable() {
const FETCH_TABLE_URL = `/api/tables/${datasource.tableId}`
const response = await api.get(FETCH_TABLE_URL)
return await response.json()
}
async function fetchTableData() {
if (!name.startsWith("all_")) {
throw new Error("Incorrect table convention - must begin with all_")
}
const tablesResponse = await api.get(`/api/views/${name}`)
return await tablesResponse.json()
}
async function fetchViewData() {
const { field, groupBy, calculation } = datasource
const params = new URLSearchParams()
if (calculation) {
params.set("field", field)
params.set("calculation", calculation)
}
if (groupBy) {
params.set("group", groupBy)
}
if (groupBy) params.set("group", groupBy)
let QUERY_VIEW_URL = field
? `/api/views/${name}?${params}`
: `/api/views/${name}`
const response = await api.get(QUERY_VIEW_URL)
return await response.json()
}
async function fetchLinkedRowsData() {
if (!store || !store.data || !store.data._id) {
return []
}
const QUERY_URL = `/api/${store.data.tableId}/${store.data._id}/enrich`
const response = await api.get(QUERY_URL)
const row = await response.json()
return row[datasource.fieldName]
}
}