csv.ts

// Copyright 2011 The Go Authors. All rights reserved. BSD license.
// https://github.com/golang/go/blob/master/LICENSE
// Copyright 2018-2022 the Deno authors. All rights reserved. MIT license.

// This module is browser compatible.

/** Port of the Go
 * [encoding/csv](https://github.com/golang/go/blob/go1.12.5/src/encoding/csv/)
 * library.
 *
 * @module
 */

import { assert } from "../_util/assert.ts";
import type { ReadOptions } from "./csv/_io.ts";
import { Parser } from "./csv/_parser.ts";

export {
  ERR_BARE_QUOTE,
  ERR_FIELD_COUNT,
  ERR_INVALID_DELIM,
  ERR_QUOTE,
  ParseError,
} from "./csv/_io.ts";
export type { ReadOptions } from "./csv/_io.ts";

const QUOTE = '"';
export const NEWLINE = "\r\n";

export class StringifyError extends Error {
  override 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 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[];
};

export type Column = ColumnDetails | PropertyAccessor | PropertyAccessor[];

type NormalizedColumn = Omit<ColumnDetails, "header" | "prop"> & {
  header: string;
  prop: PropertyAccessor[];
};

function normalizeColumn(column: Column): NormalizedColumn {
  let header: NormalizedColumn["header"],
    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 };
}

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
 */
function getValuesFromItem(
  item: DataItem,
  normalizedColumns: 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 StringifyError(
              'Property accessor is not of type "number"',
            );
          }
        } // I think this assertion is safe. Confirm?
        else value = (value as ObjectWithStringPropertyKeys)[prop];
      }

      values.push(value);
    }
  } else {
    if (Array.isArray(item)) {
      values.push(...item);
    } else if (typeof item === "object") {
      throw new StringifyError(
        "No property accessor function was provided for object",
      );
    } else {
      values.push(item);
    }
  }

  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;
  columns?: Column[];
};

/**
 * @param data The array of objects to encode
 * @param options Output formatting options
 */
export function stringify(
  data: DataItem[],
  { headers = true, separator: sep = ",", columns = [] }: StringifyOptions = {},
): string {
  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 = getValuesFromItem(item, normalizedColumns);
    output += values
      .map((value) => getEscapedString(value, sep))
      .join(sep);
    output += NEWLINE;
  }

  return output;
}

export interface ParseOptions extends ReadOptions {
  /**
   * If you provide `skipFirstRow: true` and `columns`, the first line will be skipped.
   * If you provide `skipFirstRow: true` but not `columns`, the first line will be skipped and used as header definitions.
   */
  skipFirstRow?: boolean;

  /**
   * If you provide `string[]` or `ColumnOptions[]`, those names will be used for header definition.
   */
  columns?: string[];
}

/**
 * Csv parse helper to manipulate data.
 * Provides an auto/custom mapper for columns.
 * @param input Input to parse.
 * @param opt options of the parser.
 * @returns If you don't provide `opt.skipFirstRow` and `opt.columns`, it returns `string[][]`.
 *   If you provide `opt.skipFirstRow` or `opt.columns`, it returns `Record<string, unkown>[]`.
 */
export function parse(
  input: string,
): string[][];
export function parse(
  input: string,
  opt: Omit<ParseOptions, "columns" | "skipFirstRow">,
): string[][];
export function parse(
  input: string,
  opt: Omit<ParseOptions, "columns"> & {
    columns: string[];
  },
): Record<string, unknown>[];
export function parse(
  input: string,
  opt: Omit<ParseOptions, "skipFirstRow"> & {
    skipFirstRow: true;
  },
): Record<string, unknown>[];
export function parse(
  input: string,
  opt: ParseOptions,
): string[][] | Record<string, unknown>[];
export function parse(
  input: string,
  opt: ParseOptions = {
    skipFirstRow: false,
  },
): string[][] | Record<string, unknown>[] {
  const parser = new Parser(opt);
  const r = parser.parse(input);

  if (opt.skipFirstRow || opt.columns) {
    let headers: string[] = [];
    let i = 0;

    if (opt.skipFirstRow) {
      const head = r.shift();
      assert(head != null);
      headers = head;
      i++;
    }

    if (opt.columns) {
      headers = opt.columns;
    }

    return r.map((e) => {
      if (e.length !== headers.length) {
        throw new Error(
          `Error number of fields line: ${i}\nNumber of fields found: ${headers.length}\nExpected number of fields: ${e.length}`,
        );
      }
      i++;
      const out: Record<string, unknown> = {};
      for (let j = 0; j < e.length; j++) {
        out[headers[j]] = e[j];
      }
      return out;
    });
  }
  return r;
}