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import fastCartesian from "fast-cartesian"
import {
findIndexFast,
first,
flatten,
max,
range,
sampleFrom,
slugifySameCase,
toString,
values,
} from "../clientUtils/Util"
import {
CoreColumnStore,
CoreRow,
CoreMatrix,
Time,
CoreValueType,
} from "./CoreTableConstants"
import { ColumnTypeNames, CoreColumnDef } from "./CoreColumnDef"
import {
ErrorValue,
ErrorValueTypes,
isNotErrorValueOrEmptyCell,
} from "./ErrorValues"
import {
OwidEntityCodeColumnDef,
OwidEntityIdColumnDef,
OwidEntityNameColumnDef,
OwidTableSlugs,
} from "./OwidTableConstants"
import { ColumnSlug } from "../clientUtils/owidTypes"
export const columnStoreToRows = (
columnStore: CoreColumnStore
): Record<string, CoreValueType>[] => {
const firstCol = Object.values(columnStore)[0]
if (!firstCol) return []
const slugs = Object.keys(columnStore)
return firstCol.map((val, index) => {
const newRow: Record<string, CoreValueType> = {}
slugs.forEach((slug) => {
newRow[slug] = columnStore[slug][index]
})
return newRow
})
}
// If string exceeds maxLength, will replace the end char with a ... and drop the rest
export const truncate = (str: string, maxLength: number): string =>
str.length > maxLength ? `${str.substr(0, maxLength - 3)}...` : str
// Picks a type for each column from the first row then autotypes all rows after that so all values in
// a column will have the same type. Only chooses between strings and numbers.
const numberOnly = /^-?\d+\.?\d*$/
export const makeAutoTypeFn = (
numericSlugs?: ColumnSlug[]
): ((object: any) => any) => {
const slugToType: any = {}
numericSlugs?.forEach((slug) => {
slugToType[slug] = "number"
})
return (object: any): any => {
for (const columnSlug in object) {
const value = object[columnSlug]
const type = slugToType[columnSlug]
if (type === "string") {
object[columnSlug] = value
continue
}
const number = parseFloat(value) // The "+" type casting that d3 does for perf converts "" to 0, so use parseFloat.
if (type === "number") {
object[columnSlug] = isNaN(number)
? ErrorValueTypes.NaNButShouldBeNumber
: number
continue
}
if (isNaN(number) || !numberOnly.test(value)) {
object[columnSlug] = value
slugToType[columnSlug] = "string"
continue
}
object[columnSlug] = number
slugToType[columnSlug] = "number"
}
return object
}
}
// Removes whitespace and non-word characters from column slugs if any exist.
// The original names are moved to the name property on the column def.
export const standardizeSlugs = (
rows: CoreRow[]
): { rows: CoreRow[]; defs: { name: string; slug: string }[] } | undefined => {
const firstRow = rows[0] ?? {}
const colsToRename = Object.keys(firstRow)
.map((name) => {
return {
name,
slug: slugifySameCase(name),
}
})
.filter((col) => col.name !== col.slug)
if (!colsToRename.length) return undefined
rows.forEach((row: CoreRow) => {
colsToRename.forEach((col) => {
row[col.slug] = row[col.name]
delete row[col.name]
})
})
return { rows, defs: colsToRename }
}
export const guessColumnDefFromSlugAndRow = (
slug: string,
sampleValue: any
): CoreColumnDef => {
const valueType = typeof sampleValue
const name = slug
if (slug === "Entity")
return {
slug,
type: ColumnTypeNames.EntityName,
name,
}
if (slug === "day")
return {
slug,
type: ColumnTypeNames.Day,
name: "Day",
}
if (slug === "year" || slug === "Year")
return {
slug,
type: ColumnTypeNames.Year,
name: "Year",
}
if (slug === OwidTableSlugs.entityName) return OwidEntityNameColumnDef
if (slug === OwidTableSlugs.entityCode) return OwidEntityCodeColumnDef
if (slug === OwidTableSlugs.entityId) return OwidEntityIdColumnDef
if (slug === "date")
return {
slug,
type: ColumnTypeNames.Date,
name: "Date",
}
if (valueType === "number")
return {
slug,
type: ColumnTypeNames.Numeric,
name,
}
if (valueType === "string") {
if (sampleValue.match(/^\d+$/))
return {
slug,
type: ColumnTypeNames.Numeric,
name,
}
}
return { slug, type: ColumnTypeNames.String, name }
}
export const makeRowFromColumnStore = (
rowIndex: number,
columnStore: CoreColumnStore
): CoreRow => {
const row: CoreRow = {}
const columns = Object.values(columnStore)
Object.keys(columnStore).forEach((slug, colIndex) => {
row[slug] = columns[colIndex][rowIndex]
})
return row
}
export interface InterpolationContext {}
export interface LinearInterpolationContext extends InterpolationContext {
// whether to extrapolate a variable at the start or end, where we cannot do linear interpolation
// but need to just copy over the first/last value present over to empty fields.
// e.g. [Error, Error, 2, 3, 4] would become [2, 2, 2, 3, 4] with extrapolateAtStart=true.
extrapolateAtStart?: boolean
extrapolateAtEnd?: boolean
}
export interface ToleranceInterpolationContext extends InterpolationContext {
timeTolerance: number
}
export type InterpolationProvider<C extends InterpolationContext> = (
valuesSortedByTimeAsc: (number | ErrorValue)[],
timesAsc: Time[],
context: C,
start: number,
end: number
) => void
export function linearInterpolation(
valuesSortedByTimeAsc: (number | ErrorValue)[],
timesAsc: Time[],
context: LinearInterpolationContext,
start: number = 0,
end: number = valuesSortedByTimeAsc.length
): void {
if (!valuesSortedByTimeAsc.length) return
let prevNonBlankIndex = -1
let nextNonBlankIndex = -1
for (let index = start; index < end; index++) {
const currentValue = valuesSortedByTimeAsc[index]
if (isNotErrorValueOrEmptyCell(currentValue)) {
prevNonBlankIndex = index
continue
}
if (nextNonBlankIndex === -1 || nextNonBlankIndex <= index) {
nextNonBlankIndex = findIndexFast(
valuesSortedByTimeAsc,
(val) => isNotErrorValueOrEmptyCell(val),
index + 1,
end
)
}
const prevValue = valuesSortedByTimeAsc[prevNonBlankIndex]
const nextValue = valuesSortedByTimeAsc[nextNonBlankIndex]
let value
if (
isNotErrorValueOrEmptyCell(prevValue) &&
isNotErrorValueOrEmptyCell(nextValue)
) {
const distLeft = index - prevNonBlankIndex
const distRight = nextNonBlankIndex - index
value =
(prevValue * distRight + nextValue * distLeft) /
(distLeft + distRight)
} else if (
isNotErrorValueOrEmptyCell(prevValue) &&
context.extrapolateAtEnd
)
value = prevValue
else if (
isNotErrorValueOrEmptyCell(nextValue) &&
context.extrapolateAtStart
)
value = nextValue
else value = ErrorValueTypes.NoValueForInterpolation
prevNonBlankIndex = index
valuesSortedByTimeAsc[index] = value
}
}
export function toleranceInterpolation(
valuesSortedByTimeAsc: (number | ErrorValue)[],
timesAsc: Time[],
context: ToleranceInterpolationContext,
start: number = 0,
end: number = valuesSortedByTimeAsc.length
): void {
if (!valuesSortedByTimeAsc.length) return
let prevNonBlankIndex: number | undefined = undefined
let nextNonBlankIndex: number | undefined = undefined
for (let index = start; index < end; index++) {
const currentValue = valuesSortedByTimeAsc[index]
if (isNotErrorValueOrEmptyCell(currentValue)) {
prevNonBlankIndex = index
continue
}
if (
nextNonBlankIndex !== -1 &&
(nextNonBlankIndex === undefined || nextNonBlankIndex <= index)
) {
nextNonBlankIndex = findIndexFast(
valuesSortedByTimeAsc,
isNotErrorValueOrEmptyCell,
index + 1,
end
)
}
const timeOfCurrent = timesAsc[index]
const timeOfPrevIndex =
prevNonBlankIndex !== undefined
? timesAsc[prevNonBlankIndex]
: -Infinity
const timeOfNextIndex =
nextNonBlankIndex !== undefined && nextNonBlankIndex !== -1
? timesAsc[nextNonBlankIndex]
: Infinity
const prevTimeDiff = Math.abs(timeOfPrevIndex - timeOfCurrent)
const nextTimeDiff = Math.abs(timeOfNextIndex - timeOfCurrent)
if (
nextNonBlankIndex !== -1 &&
nextTimeDiff <= prevTimeDiff &&
nextTimeDiff <= context.timeTolerance
) {
valuesSortedByTimeAsc[index] =
valuesSortedByTimeAsc[nextNonBlankIndex!]
timesAsc[index] = timesAsc[nextNonBlankIndex!]
} else if (
prevNonBlankIndex !== undefined &&
prevTimeDiff <= context.timeTolerance
) {
valuesSortedByTimeAsc[index] =
valuesSortedByTimeAsc[prevNonBlankIndex!]
timesAsc[index] = timesAsc[prevNonBlankIndex!]
} else
valuesSortedByTimeAsc[index] =
ErrorValueTypes.NoValueWithinTolerance
}
}
export function interpolateRowValuesWithTolerance<
ValueSlug extends ColumnSlug,
TimeSlug extends ColumnSlug,
Row extends { [key in TimeSlug]?: Time } & { [key in ValueSlug]?: any }
>(
rowsSortedByTimeAsc: Row[],
valueSlug: ValueSlug,
timeSlug: TimeSlug,
timeTolerance: number
): Row[] {
const values = rowsSortedByTimeAsc.map((row) => row[valueSlug])
const times = rowsSortedByTimeAsc.map((row) => row[timeSlug])
toleranceInterpolation(values, times, { timeTolerance })
return rowsSortedByTimeAsc.map((row, index) => {
return {
...row,
[valueSlug]: values[index],
[timeSlug]: times[index],
}
})
}
// A dumb function for making a function that makes a key for a row given certain columns.
export const makeKeyFn =
(columnStore: CoreColumnStore, columnSlugs: ColumnSlug[]) =>
(rowIndex: number): string =>
// toString() handles `undefined` and `null` values, which can be in the table.
columnSlugs
.map((slug) => toString(columnStore[slug][rowIndex]))
.join(" ")
// Memoization for immutable getters. Run the function once for this instance and cache the result.
export const imemo = <Type>(
target: unknown,
propertyName: string,
descriptor: TypedPropertyDescriptor<Type>
): void => {
const originalFn = descriptor.get!
descriptor.get = function (this: Record<string, Type>): Type {
const propName = `${propertyName}_memoized`
if (this[propName] === undefined) {
// Define the prop the long way so we don't enumerate over it
Object.defineProperty(this, propName, {
configurable: false,
enumerable: false,
writable: false,
value: originalFn.apply(this),
})
}
return this[propName]
}
}
export const appendRowsToColumnStore = (
columnStore: CoreColumnStore,
rows: CoreRow[]
): CoreColumnStore => {
const slugs = Object.keys(columnStore)
const newColumnStore = columnStore
slugs.forEach((slug) => {
newColumnStore[slug] = columnStore[slug].concat(
rows.map((row) => row[slug])
)
})
return newColumnStore
}
const getColumnStoreLength = (store: CoreColumnStore): number => {
return max(values(store).map((v) => v.length)) ?? 0
}
export const concatColumnStores = (
stores: CoreColumnStore[],
slugsToKeep?: ColumnSlug[]
): CoreColumnStore => {
if (!stores.length) return {}
const lengths = stores.map(getColumnStoreLength)
const slugs = slugsToKeep ?? Object.keys(first(stores)!)
const newColumnStore: CoreColumnStore = {}
slugs.forEach((slug) => {
newColumnStore[slug] = flatten(
stores.map((store, i) => {
const values = store[slug] ?? []
const toFill = Math.max(0, lengths[i] - values.length)
if (toFill === 0) {
return values
} else {
return values.concat(
new Array(lengths[i] - values.length).fill(
ErrorValueTypes.MissingValuePlaceholder
)
)
}
})
)
})
return newColumnStore
}
export const rowsToColumnStore = (rows: CoreRow[]): CoreColumnStore => {
const columnsObject: CoreColumnStore = {}
if (!rows.length) return columnsObject
Object.keys(rows[0]).forEach((slug) => {
columnsObject[slug] = rows.map((row) => row[slug])
})
return columnsObject
}
const guessColumnDefsFromRows = (
rows: CoreRow[],
definedSlugs: Map<ColumnSlug, any>
): CoreColumnDef[] => {
if (!rows[0]) return []
return Object.keys(rows[0])
.filter((slug) => !definedSlugs.has(slug))
.map((slug) => {
const firstRowWithValue = rows.find(
(row) =>
row[slug] !== undefined &&
row[slug] !== null &&
row[slug] !== ""
)
const firstValue = firstRowWithValue
? firstRowWithValue[slug]
: undefined
return guessColumnDefFromSlugAndRow(slug, firstValue)
})
}
export const autodetectColumnDefs = (
rowsOrColumnStore: CoreColumnStore | CoreRow[],
definedSlugs: Map<ColumnSlug, any>
): CoreColumnDef[] => {
if (!Array.isArray(rowsOrColumnStore)) {
const columnStore = rowsOrColumnStore as CoreColumnStore
return Object.keys(columnStore)
.filter((slug) => !definedSlugs.has(slug))
.map((slug) => {
return guessColumnDefFromSlugAndRow(
slug,
columnStore[slug].find(
(val) => val !== undefined && val !== null
)
)
})
}
return guessColumnDefsFromRows(rowsOrColumnStore, definedSlugs)
}
// Convenience method when you are replacing columns
export const replaceDef = <ColumnDef extends CoreColumnDef>(
defs: ColumnDef[],
newDefs: ColumnDef[]
): ColumnDef[] =>
defs.map((def) => {
const newDef = newDefs.find((newDef) => newDef.slug === def.slug)
return newDef ?? def
})
export const reverseColumnStore = (
columnStore: CoreColumnStore
): CoreColumnStore => {
const newStore: CoreColumnStore = {}
Object.keys(columnStore).forEach((slug) => {
newStore[slug] = columnStore[slug].slice().reverse()
})
return newStore
}
export const renameColumnStore = (
columnStore: CoreColumnStore,
columnRenameMap: { [columnSlug: string]: ColumnSlug }
): CoreColumnStore => {
const newStore: CoreColumnStore = {}
Object.keys(columnStore).forEach((slug) => {
if (columnRenameMap[slug])
newStore[columnRenameMap[slug]] = columnStore[slug]
else newStore[slug] = columnStore[slug]
})
return newStore
}
export const replaceCells = (
columnStore: CoreColumnStore,
columnSlugs: ColumnSlug[],
replaceFn: (val: CoreValueType) => CoreValueType
): CoreColumnStore => {
const newStore: CoreColumnStore = { ...columnStore }
columnSlugs.forEach((slug) => {
newStore[slug] = newStore[slug].map(replaceFn)
})
return newStore
}
// Returns a Set of random indexes to drop in an array, preserving the order of the array
export const getDropIndexes = (
arrayLength: number,
howMany: number,
seed = Date.now()
): Set<number> => new Set(sampleFrom(range(0, arrayLength), howMany, seed))
export const replaceRandomCellsInColumnStore = (
columnStore: CoreColumnStore,
howMany = 1,
columnSlugs: ColumnSlug[] = [],
seed = Date.now(),
replacementGenerator: () => any = () => ErrorValueTypes.DroppedForTesting
): CoreColumnStore => {
const newStore: CoreColumnStore = Object.assign({}, columnStore)
columnSlugs.forEach((slug) => {
const values = newStore[slug]
const indexesToDrop = getDropIndexes(values.length, howMany, seed)
newStore[slug] = values.map((value, index) =>
indexesToDrop.has(index) ? replacementGenerator() : value
)
})
return newStore
}
export class Timer {
constructor() {
this._tickTime = Date.now()
this._firstTickTime = this._tickTime
}
private _tickTime: number
private _firstTickTime: number
tick(msg?: string): number {
const elapsed = Date.now() - this._tickTime
// eslint-disable-next-line no-console
if (msg) console.log(`${elapsed}ms ${msg}`)
this._tickTime = Date.now()
return elapsed
}
getTotalElapsedTime(): number {
return Date.now() - this._firstTickTime
}
}
export const rowsFromMatrix = (matrix: CoreMatrix): any[] => {
const table = trimMatrix(matrix)
const header = table[0]
return table.slice(1).map((row) => {
const newRow: any = {}
header.forEach((col, index) => {
newRow[col] = row[index]
})
return newRow
})
}
const trimEmptyColumns = (matrix: CoreMatrix): CoreMatrix =>
matrix.map(trimArray)
export const trimMatrix = (matrix: CoreMatrix): CoreMatrix =>
trimEmptyColumns(trimEmptyRows(matrix))
export const matrixToDelimited = (
table: CoreMatrix,
delimiter = "\t"
): string => {
return table
.map((row: any) =>
row
.map((cell: any) =>
cell === null || cell === undefined ? "" : cell
)
.join(delimiter)
)
.join("\n")
}
export const parseDelimited = (
str: string,
delimiter?: string,
parseFn?: any
): DSVParsedArray<Record<string, unknown>> =>
dsvFormat(delimiter ?? detectDelimiter(str)).parse(str, parseFn)
export const detectDelimiter = (str: string): "\t" | "," | " " =>
str.includes("\t") ? "\t" : str.includes(",") ? "," : " "
export const rowsToMatrix = (rows: any[]): CoreMatrix | undefined =>
rows.length
? [Object.keys(rows[0]), ...rows.map((row) => Object.values(row))]
: undefined
const isRowEmpty = (row: any[]): boolean => row.every(isCellEmpty)
export const isCellEmpty = (cell: any): boolean =>
cell === null || cell === undefined || cell === ""
export const trimEmptyRows = (matrix: CoreMatrix): CoreMatrix => {
let trimAt = undefined
for (let rowIndex = matrix.length - 1; rowIndex >= 0; rowIndex--) {
if (!isRowEmpty(matrix[rowIndex])) break
trimAt = rowIndex
}
return trimAt === undefined ? matrix : matrix.slice(0, trimAt)
}
export const trimArray = (arr: any[]): any[] => {
let rightIndex: number
for (rightIndex = arr.length - 1; rightIndex >= 0; rightIndex--) {
if (!isCellEmpty(arr[rightIndex])) break
}
return arr.slice(0, rightIndex + 1)
}
export function cartesianProduct<T>(...allEntries: T[][]): T[][] {
return fastCartesian(allEntries)
}
const applyNewSortOrder = (arr: any[], newOrder: number[]): any[] =>
newOrder.map((index) => arr[index])
export const sortColumnStore = (
columnStore: CoreColumnStore,
slugs: ColumnSlug[]
): CoreColumnStore => {
const firstCol = Object.values(columnStore)[0]
if (!firstCol) return {}
const len = firstCol.length
const newOrder = range(0, len).sort(makeSortByFn(columnStore, slugs))
const newStore: CoreColumnStore = {}
Object.keys(columnStore).forEach((slug) => {
newStore[slug] = applyNewSortOrder(columnStore[slug], newOrder)
})
return newStore
}
const makeSortByFn = (
columnStore: CoreColumnStore,
columnSlugs: ColumnSlug[]
): ((indexA: number, indexB: number) => 1 | 0 | -1) => {
const numSlugs = columnSlugs.length
return (indexA: number, indexB: number): 1 | 0 | -1 => {
const nodeAFirst = -1
const nodeBFirst = 1
for (let slugIndex = 0; slugIndex < numSlugs; slugIndex++) {
const slug = columnSlugs[slugIndex]
const col = columnStore[slug]
const av = col[indexA]
const bv = col[indexB]
if (av < bv) return nodeAFirst
if (av > bv) return nodeBFirst
// todo: handle ErrorValues
}
return 0
}
}
export const emptyColumnsInFirstRowInDelimited = (str: string): string[] => {
// todo: don't split a big string here, just do a faster first line scan
const shortCsv = parseDelimited(str.split("\n").slice(0, 2).join("\n"))
const firstRow: any = shortCsv[0] ?? {}
const emptySlugs: string[] = []
Object.keys(firstRow).forEach((slug) => {
if (firstRow[slug] === "") emptySlugs.push(slug)
})
return emptySlugs
}
|