std/csv/stringify.ts

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// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
// This module is browser compatible.
/** Array index or record key corresponding to a value for a data object. */
export type PropertyAccessor = number | string;
/**
* Column information.
*
* @param header Explicit column header name. If omitted,
* the (final) property accessor is used for this value.
*
* @param prop Property accessor(s) used to access the value on the object
*/
export type ColumnDetails = {
header?: string;
prop: PropertyAccessor | PropertyAccessor[];
};
/**
* The most essential aspect of a column is accessing the property holding the
* data for that column on each object in the data array. If that member is at
* the top level, `Column` can simply be a property accessor, which is either a
* `string` (if it's a plain object) or a `number` (if it's an array).
*
* ```ts
* const columns = [
* "name",
* ];
* ```
*
* Each property accessor will be used as the header for the column:
*
* | name |
* | :--: |
* | Deno |
*
* - If the required data is not at the top level (it's nested in other
* objects/arrays), then a simple property accessor won't work, so an array of
* them will be required.
*
* ```ts
* const columns = [
* ["repo", "name"],
* ["repo", "org"],
* ];
* ```
*
* When using arrays of property accessors, the header names inherit the value
* of the last accessor in each array:
*
* | name | org |
* | :--: | :------: |
* | deno | denoland |
*
* - If a different column header is desired, then a `ColumnDetails` object type
* can be used for each column:
*
* - **`header?: string`** is the optional value to use for the column header
* name
*
* - **`prop: PropertyAccessor | PropertyAccessor[]`** is the property accessor
* (`string` or `number`) or array of property accessors used to access the
* data on each object
*
* ```ts
* const columns = [
* "name",
* {
* prop: ["runsOn", 0],
* header: "language 1",
* },
* {
* prop: ["runsOn", 1],
* header: "language 2",
* },
* ];
* ```
*
* | name | language 1 | language 2 |
* | :--: | :--------: | :--------: |
* | Deno | Rust | TypeScript |
*/
export type Column = ColumnDetails | PropertyAccessor | PropertyAccessor[];
/** An object (plain or array) */
export type DataItem = Readonly<Record<string, unknown> | unknown[]>;
/** Options for {@linkcode stringify}. */
export type StringifyOptions = {
/** Whether to include the row of headers or not.
*
* @default {true}
*/
headers?: boolean;
/**
* Delimiter used to separate values. Examples:
* - `","` _comma_
* - `"\t"` _tab_
* - `"|"` _pipe_
* - etc.
*
* @default {","}
*/
separator?: string;
/**
* A list of instructions for how to target and transform the data for each
* column of output. This is also where you can provide an explicit header
* name for the column.
*
* @default {[]}
*/
columns?: readonly Column[];
/**
* Whether to add a
* {@link https://en.wikipedia.org/wiki/Byte_order_mark | byte-order mark} to the
* beginning of the file content. Required by software such as MS Excel to
* properly display Unicode text.
*
* @default {false}
*/
bom?: boolean;
};
const QUOTE = '"';
const LF = "\n";
const CRLF = "\r\n";
const BYTE_ORDER_MARK = "\ufeff";
function getEscapedString(value: unknown, sep: string): string {
if (value === undefined || value === null) return "";
let str = "";
if (typeof value === "object") str = JSON.stringify(value);
else str = String(value);
// Is regex.test more performant here? If so, how to dynamically create?
// https://stackoverflow.com/questions/3561493/
if (str.includes(sep) || str.includes(LF) || str.includes(QUOTE)) {
return `${QUOTE}${str.replaceAll(QUOTE, `${QUOTE}${QUOTE}`)}${QUOTE}`;
}
return str;
}
type NormalizedColumn = Omit<ColumnDetails, "header" | "prop"> & {
header: string;
prop: readonly PropertyAccessor[];
};
function normalizeColumn(column: Column): NormalizedColumn {
let header: NormalizedColumn["header"];
let prop: NormalizedColumn["prop"];
if (typeof column === "object") {
if (Array.isArray(column)) {
header = String(column[column.length - 1]);
prop = column;
} else {
prop = Array.isArray(column.prop) ? column.prop : [column.prop];
header = typeof column.header === "string"
? column.header
: String(prop[prop.length - 1]);
}
} else {
header = String(column);
prop = [column];
}
return { header, prop };
}
/**
* Returns an array of values from an object using the property accessors
* (and optional transform function) in each column
*/
function getValuesFromItem(
item: DataItem,
normalizedColumns: readonly NormalizedColumn[],
): unknown[] {
const values: unknown[] = [];
if (normalizedColumns.length) {
for (const column of normalizedColumns) {
let value: unknown = item;
for (const prop of column.prop) {
if (typeof value !== "object" || value === null) {
continue;
}
if (Array.isArray(value)) {
if (typeof prop === "number") value = value[prop];
else {
throw new TypeError(
'Property accessor is not of type "number"',
);
}
} // I think this assertion is safe. Confirm?
else value = (value as Record<string, unknown>)[prop];
}
values.push(value);
}
} else {
if (Array.isArray(item)) {
values.push(...item);
} else if (typeof item === "object") {
throw new TypeError(
"No property accessor function was provided for object",
);
} else {
values.push(item);
}
}
return values;
}
/**
* Converts an array of objects into a CSV string.
*
* @example Default options
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* ["Rick", 70],
* ["Morty", 14],
* ];
*
* assertEquals(stringify(data), `Rick,70\r\nMorty,14\r\n`);
* ```
*
* @example Give an array of objects and specify columns
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* { name: "Rick", age: 70 },
* { name: "Morty", age: 14 },
* ];
*
* const columns = ["name", "age"];
*
* assertEquals(stringify(data, { columns }), `name,age\r\nRick,70\r\nMorty,14\r\n`);
* ```
*
* @example Give an array of objects without specifying columns
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertThrows } from "@std/assert/throws";
*
* const data = [
* { name: "Rick", age: 70 },
* { name: "Morty", age: 14 },
* ];
*
* assertThrows(
* () => stringify(data),
* TypeError,
* "No property accessor function was provided for object",
* );
* ```
*
* @example Give an array of objects and specify columns with `headers: false`
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* { name: "Rick", age: 70 },
* { name: "Morty", age: 14 },
* ];
*
* const columns = ["name", "age"];
*
* assertEquals(
* stringify(data, { columns, headers: false }),
* `Rick,70\r\nMorty,14\r\n`,
* );
* ```
*
* @example Give an array of objects and specify columns with renaming
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* { name: "Rick", age: 70 },
* { name: "Morty", age: 14 },
* ];
*
* const columns = [
* { prop: "name", header: "user name" },
* "age",
* ];
*
* assertEquals(
* stringify(data, { columns }),
* `user name,age\r\nRick,70\r\nMorty,14\r\n`,
* );
* ```
*
* @example Give an array of objects with nested property and specify columns
* ```ts
* import {
* Column,
* stringify,
* } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* {
* age: 70,
* name: {
* first: "Rick",
* last: "Sanchez",
* },
* },
* {
* age: 14,
* name: {
* first: "Morty",
* last: "Smith",
* },
* },
* ];
*
* const columns: Column[] = [
* ["name", "first"],
* "age",
* ];
*
* assertEquals(
* stringify(data, { columns }),
* `first,age\r\nRick,70\r\nMorty,14\r\n`,
* );
* ```
*
* @example Give an array of objects with nested property and specify columns
* with renaming
* ```ts
* import {
* Column,
* stringify,
* } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* {
* age: 70,
* name: {
* first: "Rick",
* last: "Sanchez",
* },
* },
* {
* age: 14,
* name: {
* first: "Morty",
* last: "Smith",
* },
* },
* ];
*
* const columns: Column[] = [
* { prop: ["name", "first"], header: "first name" },
* "age",
* ];
*
* assertEquals(
* stringify(data, { columns }),
* `first name,age\r\nRick,70\r\nMorty,14\r\n`,
* );
* ```
*
* @example Give an array of string arrays and specify columns with renaming
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* ["Rick", 70],
* ["Morty", 14],
* ];
*
* const columns = [
* { prop: 0, header: "name" },
* { prop: 1, header: "age" },
* ];
*
* assertEquals(
* stringify(data, { columns }),
* `name,age\r\nRick,70\r\nMorty,14\r\n`,
* );
* ```
*
* @example Emit TSV (tab-separated values) with `separator: "\t"`
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [
* ["Rick", 70],
* ["Morty", 14],
* ];
*
* assertEquals(stringify(data, { separator: "\t" }), `Rick\t70\r\nMorty\t14\r\n`);
* ```
*
* @example Prepend a byte-order mark with `bom: true`
* ```ts
* import { stringify } from "@std/csv/stringify";
* import { assertEquals } from "@std/assert/equals";
*
* const data = [["Rick", 70]];
*
* assertEquals(stringify(data, { bom: true }), "\ufeffRick,70\r\n");
* ```
*
* @param data The source data to stringify. It's an array of items which are
* plain objects or arrays.
* @param options Options for the stringification.
* @returns A CSV string.
*/
export function stringify(
data: readonly DataItem[],
options?: StringifyOptions,
): string {
const { headers = true, separator: sep = ",", columns = [], bom = false } =
options ?? {};
if (sep.includes(QUOTE) || sep.includes(CRLF)) {
const message = [
"Separator cannot include the following strings:",
' - U+0022: Quotation mark (")',
" - U+000D U+000A: Carriage Return + Line Feed (\\r\\n)",
].join("\n");
throw new TypeError(message);
}
const normalizedColumns = columns.map(normalizeColumn);
let output = "";
if (bom) {
output += BYTE_ORDER_MARK;
}
if (headers && normalizedColumns.length > 0) {
output += normalizedColumns
.map((column) => getEscapedString(column.header, sep))
.join(sep);
output += CRLF;
}
for (const item of data) {
const values = getValuesFromItem(item, normalizedColumns);
output += values
.map((value) => getEscapedString(value, sep))
.join(sep);
output += CRLF;
}
return output;
}