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@dictadata/xlsx-junction

v0.9.11

Published

dictadata Storage Junction for .xlsx, .xls and .ods files.

Downloads

142

Readme

@dictadata/xlsx-junction 0.9.x

A Storage Junction for Excel .xlsx and .xls files. XlsxJunction implements a junction for reading tabular data from Excel .xlsx, .xls, .ods files. XlsxJunction is a storage plugin for use with @dictadata/storage-junctions and related projects @dictadata/storage-tracts ETL command line utility and @dictadata/storage-node API Server.

The plugin uses the SheetJS XLSX module to parse the XLSX documents.

Installation

npm install @dictadata/storage-junctions @dictadata/xlsx-junction

Using the Plugin

Register the junction when initializing the app. Import the Storage Junctions library and the XLSX Junction plugin. Then register XLSX Junction with the Storage Junctions' Storage module. This will register XLSX Junction for use with storage model "xlsx".

const { Storage } = require("@dictadata/storage-junctions");
const { XlsxJunction } = require("@dictadata/xlsx-junction");

Storage.Junctions.use("xlsx", XlsxJunction);
Storage.Junctions.use('xls', XlsxJunction);
Storage.Junctions.use('ods', XlsxJunction);

Creating an instance of PDFJunction

Create an instance of XLSXJunction class. Then a junction can be created as needed in the app using an SMT definition.

const Storage = require("@dictadata/storage-junctions");

var junction = Storage.activate("xlsx|file:folderpath/workbook.xlsx|sheet name|*", options);

// or

var junction = Storage.activate({
    model:"xlsx",
    locus: "file:folderpath/workbook.xlsx",
    schema: "sheet name",
    key: "column name"
  }, options);

Supported Storage Junction Methods

  • list() - list sheets
  • createSchema() - create a new sheet
  • dullSchema() - delete a sheet
  • getEncoding() - *use codify transform to generate schema encoding
  • createReader() - read rows from sheet
  • createWriter() - save constructs to sheet

Supported FileSystems

Supported filesystem are those built into the storage-junctions library. Currently the supported file systems types are:

  • file: - the spreadsheet file must be located on a local file system

Storage Junction Objects


XlsxJunction Options

/**
 * @param {String|Object} SMT 'xlsx|file:filename|sheetname|key' or an Engram object
 * @param {object} options
 * @param {boolean} [raw] - output all raw in worksheet with cell properties
 * @param {string}  [range] - A1-style range, e.g. "A3:M24"
 * @param {boolean} [overwrite] - overwrite/create workbook file
 * @param {string}  [sheetName] - sheet name to use instead of SMT.schema, default none
 * @param {boolean} [cellDates] - default true, format date cell values as UTC strings
 *
 * XLSX.readFile()
 * read workbook options:
 *   "cellFormula", "cellHTML", "cellNF", "cellStyles", "cellText", "cellDates"
 *   https://docs.sheetjs.com/docs/api/parse-options
 *
 * XLSX.writeFile()
 * write workbook options:
 *   "cellDates", "type", "bookSST", "bookType", "sheet", "compression", "Props", "themeXLSX", "ignoreEC"
 *   https://docs.sheetjs.com/docs/api/write-options
 */

XlsxReader Options

/**
 * @param {object} junction - parent XlsxJunction
 * @param {object}   [options]
 * @param {number}   [options.max_read] - maximum rows to read
 * @param {boolean}  [options.raw] - output all raw in worksheet with cell properties
 * @param {string}   [options.range] - A1-style range, e.g. "A3:M24"
 * @param {string}   [options.heading] PDF section heading where data is located, default: none
 * @param {string}   [options.stopHeading] PDF section heading after data table, default: none
 * @param {number}   [options.cells] minimum number of cells in a row, default: 1
 * @param {boolean}  [options.repeating] indicates if table headers are repeated on each page, default: false
 * @param {string[]} [options.headers] - RowAsObject: array of column names for data, default none, first table row contains names.
 * @param {number}   [options.column] - RepeatCellTransform: column index of cell to repeat, default 0
 * @param {string}   [options.header] - RepeatHeadingTransform: column name for the repeating heading field
 *
 * sheet_to_json() read options:
 *   "raw", "range", "header", "dateNF", "defval", "blankrows", "skipHidden", "UTC"
 *   https://docs.sheetjs.com/docs/api/utilities/array#array-output
 */

XlsxWriter Options

/**
 * @param {object}  junction - parent XlsxJunction
 * @param {object}  [options]
 * @param {boolean} [raw] - constructs are worksheet cells with cell properties
 *
 * json_to_sheet() write options:
 *   "cellDates", "origin", "header", "dateNF", "skipHeader"
 *   https://docs.sheetjs.com/docs/api/utilities/array#array-of-objects-input
 */

Examples


The following examples use the State_Voter_Registration_2024_PPE.xlsx file found in the project's test/data/input folder. Examples use Storage Tracts CLI options format to define a tract fiber.

Output Raw Cell Properties

{
  origin: {
    smt: "xlsx|./test/data/input/State_Voter_Registration_2024_PPE.xlsx|in|*",
    options: {
      raw: true,
      cellDates: false
    }
  },
  terminal: {
    smt: "json|./test/data/output/xlsx/|svr_all_rows.json|*"
  }
}

Normalize a Missing Cell Value

{
  origin: {
    smt: "xlsx|./test/data/input/State_Voter_Registration_2024_PPE.xlsx|in|*",
    options: {
      heading: "Active",
      cells: 9,
      column: 0
    }
  },
  terminal: {
    smt: "json|./test/data/output/xlsx/|svr_heading.json|*"
  }
}

Parsing a Worksheet Range

Retrieves the same data table as previous example.

{
  origin: {
    smt: "xlsx|./test/data/input/State_Voter_Registration_2024_PPE.xlsx|in|*",
    options: {
      range: "A6:R70",
      column: 0
    }
  },
  terminal: {
    smt: "json|./test/data/output/xlsx/|svr_range.json|*"
  }
}

Normalizing a Worksheet with Subsection Headings

{
  origin: {
    smt: "xlsx|./test/data/input/State_Voter_Registration_2024_PPE.xlsx|in|*",
    options: {
      range: "A77:S134",
      header: "County:1"
    }
  },
  terminal: {
    smt: "json|./test/data/output/xlsx/|svr_repeat.json|*"
  }
}