A module for testing and doing other kind of metrics on regular text, as in books or novels, or, for that matter, manuals.

We're not there yet, but for the time being it is a pretty good spelling checker that can be used on the cloud in continuous integration literary environments.

People who write fiction or non-fiction using simple text, Markdown or similar formats. You don't need to know Perl or continuous integration or nothing more techie than clicking here and there and saving files. You probably do know programming stuff, but it's not really needed for using it.

Saves you time by checking spelling automatically. Also measures progress by telling you how many words you have written so far and in total, which is an intended side effect of counting the number of tests == number of words.

1. Save the files you want to be tested to a single directory called, for instance, text, using .markdown, .txt or .md extensions. That directory will also hold the words.dic where you will save real words that are not included in the general dictionary. That's your personal dictionary, for short.

2. Sign up for Travis CI. You can use your GitHub account. Choose the repo where your text is hosted and enable it. You might have to sync your account if the repo has been recently created.

3. Create a .travis.yml configuration file in the home directory of your repo. There are a couple of examples (English and Spanish) in this repo. You can also copy and paste this

branches:
  except:
    - gh-pages
language: perl
perl:
  - "5.22"
before_install:
  - sudo apt-get install libhunspell-1.3-0 libhunspell-dev
  - curl https://raw.githubusercontent.com/JJ/Test-Text/master/files/just_check_en.t -o just_check.t
  - sudo update-locale LANG=en_US.UTF-8 LANGUAGE=en.UTF-8
install: cpanm Test::Text TAP::Harness
script: perl -MTAP::Harness -e 'use utf8; my $harness = TAP::Harness->new( { verbosity => 0} ); die "FAIL" if $harness->runtests( "just_check.t" )->failed;'

and save it to that file. You can also use examples like this one for a data science manual directly:

wget https://github.com/JJ/aprende-datos/blob/master/.travis.yml

That's it. Every time you push, your text files will be checked and it will return the words that it does not know about. You can them fix them or enter them in your words.dic file, with this format

4
OneWord
AnotherWord
FooBar
Þor

Simple enough, ain't it?

You can also directly use this GitHub action in your repository to have the README checked. It deletes all markdown elements that are not README, you might have to adapt it to your situation (or leave it there).

You can raise an issue requesting help.

Help with other languages would be great. Adding tests other than pure spell checking, like grammar, would be great too. Check out the issues and the TODO file for ideas, or create your own issues.

This distribution is licensed under the GPL. In includes Test::Text::Sentence, originally Text::Sentence from HTML::Summary, (c) by NEILB, initial copyright by CRE, and licensed under the Artistic license.