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valid-xl

v0.0.4

Published

validate and sanity-check columns in an excel worksheet

Downloads

1

Readme

valid-xl

A simple module and CLI for validation reporting on specified columns within an excel worksheet.

For the CLI, you pass in a schema file containing your column constraint functions:

valid-xl --sheet=SheetName \
         --schema=your.column.constraints.js file.xlsx

Usage

npm install -g valid-xl
npm run test
npm run demo
npm run cli-demo

Example

Using the following sample file (sample.xlsx) ...

sample file

CLI

valid-xl --sheet=Transcript \
         --schema=sample.schema.js sample.xlsx

Output ...

4 invalid values

REC 2:
  LRB = `L+ ` is an invalid value
REC 3:
  XYZ = `q` is an invalid value
REC 4:
  LRB = `L+R+X` is an invalid value
  XYZ = `b` is an invalid value

Module

The module consists of a single validation function that takes three arguments:

  • path to an excel file (sample.xlsx)
  • the name of the worksheet to be validated (Transcript)
  • path to your column validation constraints (sample.schema.js)

The worksheet to be validated should contain tabular data and column headers in the first line.

var validate = require('valid-xl');

var file = 'sample.xlsx',
    sheet = 'Transcript',
    schema = 'sample.schema.js';

var results = validate(file, sheet, schema);

console.log(results.report);

This should yield the following results:

{ errors: 4,
  invalid: 
   { '2': [ 'LRB = `L+ ` is an invalid value' ],
     '3': [ 'XYZ = `q` is an invalid value' ],
     '4': 
      [ 'LRB = `L+R+X` is an invalid value',
        'XYZ = `b` is an invalid value' ] } }

The schema file only needs to contain a constraints object with functions to check the validity of particular column values. The keys should reflect the name of the columns to be validated. See sample.schema.js for an example.

In the example below, we define the schema inline. It contains one column rule, viz., a simple constraint on valid values for the XYZ column:

var validate = require('valid-xl');

var file = 'sample.xlsx',
    sheet = 'Transcript',
    schema = {
        XYZ: function(v) {
            if (v) {
                if (!/^[xyz]$/.test(v)) {
                    return { XYZ: v + ' is not a valid value!' };
                }
            }
        }
    };

var results = validate(file, sheet, schema);
console.log(results.report);

This produces the following results:

{
  errors: 2,
  invalid: {
    '3': [ { XYZ: "q is not a valid value!" } ],
    '4': [ { XYZ: "b is not a valid value!" } ]
  }
}

See demo.js for a slight elaboration of this example.

See Also

  • parse-xl - parse excel worksheets with column headers
  • valid-records - validate specified fields within a set of records (an array or js-objects or ndjson stream)