std/encoding/csv_stringify.ts
2021-02-01 10:46:59 +00:00

173 lines
4.7 KiB
TypeScript

// Copyright 2018-2021 the Deno authors. All rights reserved. MIT license.
// Implements the CSV spec at https://tools.ietf.org/html/rfc4180
// This module is browser compatible.
const QUOTE = '"';
export const NEWLINE = "\r\n";
export class StringifyError extends Error {
readonly name = "StringifyError";
}
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(NEWLINE) || str.includes(QUOTE)) {
return `${QUOTE}${str.replaceAll(QUOTE, `${QUOTE}${QUOTE}`)}${QUOTE}`;
}
return str;
}
type PropertyAccessor = number | string;
/**
* @param fn Optional callback for transforming the value
*
* @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 = {
// "unknown" is more type-safe, but inconvenient for user. How to resolve?
// deno-lint-ignore no-explicit-any
fn?: (value: any) => string | Promise<string>;
header?: string;
prop: PropertyAccessor | PropertyAccessor[];
};
export type Column = ColumnDetails | PropertyAccessor | PropertyAccessor[];
type NormalizedColumn = Omit<ColumnDetails, "header" | "prop"> & {
header: string;
prop: PropertyAccessor[];
};
function normalizeColumn(column: Column): NormalizedColumn {
let fn: NormalizedColumn["fn"],
header: NormalizedColumn["header"],
prop: NormalizedColumn["prop"];
if (typeof column === "object") {
if (Array.isArray(column)) {
header = String(column[column.length - 1]);
prop = column;
} else {
({ fn } = column);
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 { fn, header, prop };
}
type ObjectWithStringPropertyKeys = Record<string, unknown>;
/** An object (plain or array) */
export type DataItem = ObjectWithStringPropertyKeys | unknown[];
/**
* Returns an array of values from an object using the property accessors
* (and optional transform function) in each column
*/
async function getValuesFromItem(
item: DataItem,
normalizedColumns: NormalizedColumn[],
): Promise<unknown[]> {
const values: unknown[] = [];
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 StringifyError('Property accessor is not of type "number"');
}
} // I think this assertion is safe. Confirm?
else value = (value as ObjectWithStringPropertyKeys)[prop];
}
if (typeof column.fn === "function") value = await column.fn(value);
values.push(value);
}
return values;
}
/**
* @param headers Whether or not to include the row of headers.
* Default: `true`
*
* @param separator Delimiter used to separate values. Examples:
* - `","` _comma_ (Default)
* - `"\t"` _tab_
* - `"|"` _pipe_
* - etc.
*/
export type StringifyOptions = {
headers?: boolean;
separator?: string;
};
/**
* @param data The array of objects to encode
* @param columns Array of values specifying which data to include in the output
* @param options Output formatting options
*/
export async function stringify(
data: DataItem[],
columns: Column[],
options: StringifyOptions = {},
): Promise<string> {
const { headers, separator: sep } = {
headers: true,
separator: ",",
...options,
};
if (sep.includes(QUOTE) || sep.includes(NEWLINE)) {
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 StringifyError(message);
}
const normalizedColumns = columns.map(normalizeColumn);
let output = "";
if (headers) {
output += normalizedColumns
.map((column) => getEscapedString(column.header, sep))
.join(sep);
output += NEWLINE;
}
for (const item of data) {
const values = await getValuesFromItem(item, normalizedColumns);
output += values
.map((value) => getEscapedString(value, sep))
.join(sep);
output += NEWLINE;
}
return output;
}