The watch words controller creation function, create_or_update_word(), doesn’t validate the size of the replacement parameter, unlike the word parameter, when creating a replace watched word. So anyone with moderator privileges can create watched words with almost unlimited characters.
Currently we can’t add a case-sensitive watched word if another one
exists with a different case. For example, the existing watched word
`Meta` has been created and is case-sensitive. Now an admin tries to add
`metA` while marking it as case-sensitive too, this won’t work and the
word won’t be added.
This patch changes this behavior by allowing to add same words that have
different cases, so the example above will now work as expected.
We still check for uniqueness but case-sensitivy is now taken
into account. It means that if the watched word `meta` already exists
and is not case-sensitive then it will not be possible to add `Meta`
(case-sensitive or not) as `meta` already matches every possible
variations of this word.
* FEATURE: Add case-sensitivity flag to watched_words
Currently, all watched words are matched case-insensitively. This flag
allows a watched word to be flagged for case-sensitive matching.
To allow allow for backwards compatibility the flag is set to false by
default.
* FEATURE: Support case-sensitive creation of Watched Words via API
Extend admin creation and upload of Watched Words to support case
sensitive flag. This lays the ground work for supporting
case-insensitive matching of Watched Words.
Support for an extra column has also been introduced for the Watched
Words upload CSV file. The new column structure is as follows:
word,replacement,case_sentive
* FEATURE: Enable case-sensitive matching of Watched Words
WordWatcher's word_matcher_regexp now returns a list of regular
expressions instead of one case-insensitive regular expression.
With the ability to flag a Watched Word as case-sensitive, an action
can have words of both sensitivities.This makes the use of the global
Regexp::IGNORECASE flag added to all words problematic.
To get around platform limitations around the use of subexpression level
switches/flags, a list of regular expressions is returned instead, one for each
case sensitivity.
Word matching has also been updated to use this list of regular expressions
instead of one.
* FEATURE: Use case-sensitive regular expressions for Watched Words
Update Watched Words regular expressions matching and processing to handle
the extra metadata which comes along with the introduction of
case-sensitive Watched Words.
This allows case-sensitive Watched Words to matched as such.
* DEV: Simplify type casting of case-sensitive flag from uploads
Use builtin semantics instead of a custom method for converting
string case flags in uploaded Watched Words to boolean.
* UX: Add case-sensitivity details to Admin Watched Words UI
Update Watched Word form to include a toggle for case-sensitivity.
This also adds support for, case-sensitive testing and matching of Watched Word
in the admin UI.
* DEV: Code improvements from review feedback
- Extract watched word regex creation out to a utility function
- Make JS array presence check more explicit and readable
* DEV: Extract Watched Word regex creation to utility function
Clean-up work from review feedback. Reduce code duplication.
* DEV: Rename word_matcher_regexp to word_matcher_regexp_list
Since a list is returned now instead of a single regular expression,
change `word_matcher_regexp` to `word_matcher_regexp_list` to better communicate
this change.
* DEV: Incorporate WordWatcher updates from upstream
Resolve conflicts and ensure apply_to_text does not remove non-word characters in matches
that aren't at the beginning of the line.
It's very easy to forget to add `require 'rails_helper'` at the top of every core/plugin spec file, and omissions can cause some very confusing/sporadic errors.
By setting this flag in `.rspec`, we can remove the need for `require 'rails_helper'` entirely.
This change both speeds up specs (less strings to allocate) and helps catch
cases where methods in Discourse are mutating inputs.
Overall we will be migrating everything to use #frozen_string_literal: true
it will take a while, but this is the first and safest move in this direction
Vinoth Kannan
David Taylor
Loïc Guitaut
Selase Krakani
Phil Pirozhkov
Rafael dos Santos Silva
Bianca Nenciu
Jarek Radosz
Sam Saffron
Neil Lalonde