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valid-records

v0.0.5

Published

validate field values of a set of records (js objects or newline-delimited json)

Downloads

4

Readme

valid-records

A simple module and CLI (validate-ndj) for validation reporting on specified fields within a set of records.

Sample records:

{ row: 1, X: 'x1', Y: 'y1', Z: 'z1' }
{ row: 2, X: 'x2', Y: 'y2', Z: 'z2' }
{ row: 3, X: 'x3', Y: 'y3', Z: 'z3' }
{ row: 4, X: 'OH NOES!', Y: 'y4', Z: 'z4' }

A simple schema containing one validation constraint for field X:

var schema = {

    X: function (value) {
        column = 'X';
        if (value) {
            if (!/^x\d*$/.test(value)) {
                return value + ' is an invalid value for X';
            }
        }
    }
}

The CLI is designed to validate newline-delimited JSON (e.g., records.ndj) from stdout. You just pass in a file containing your validation schema (e.g., rec.schema.js:

cat records.ndj | valid-records --schema=rec.schema.js

Usage

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

CLI example

Suppose we have an excel file (sample.xlsx) ...

sample file

We can convert the displayed worksheet (named Transcript) to newline-delimited JSON with parse-xl:

parse-xl --sheet=Transcript sample.xlsx 

This outputs ...

{ "_ID": "22", "ROW": "1", "LRB": "L",     "XYZ": "x" }
{ "_ID": "22", "ROW": "2", "LRB": "L+L",   "XYZ": "y" }
{ "_ID": "22", "ROW": "3", "LRB": "L+ ",   "XYZ": "z" }
{ "_ID": "22", "ROW": "4", "LRB": "L+R+B", "XYZ": "q" }
{ "_ID": "22", "ROW": "5", "LRB": "L+R+X", "XYZ": "b" }

We can pipe these records to valid-records and check to see if any records fail to meet our specified field constraints (rec.schema.js):

parse-xl --sheet=Transcript sample.xlsx | \
    valid-records --schema=rec.schema.js

This outputs ...

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

See Also

  • parse-xl - parse excel worksheets with column headers
  • valid-xl - validate values in columns of an excel worksheet