Previously,
<nowiki>[[!include foo]]</nowiki>
would produce some garbage, like
chunk18226682includechunk
instead of the desired rendered text,
[[!include foo]]
Fixed.
Update dnsbl_check plugin to latest version.
Update Maruku to latest version.
In the wiki_controller, only apply the dnsbl_check before_filter
to the :edit, :new, and :save actions, instead of all actions.
This makes mundane "show" requests faster, but does not
compromise spam-fighting ability.
The html5lib sanitizer does not necessarily produce well-formed output.
Take some "bad" input, wrap it in a <nowiki> tag and -- bingo! -- you get
ill-formed output.
Fixed. (Though, probably, one should fix the html5lib sanitizer, instead.)
Updated to Rails 2.2.2.
Added a couple more Ruby 1.9 fixes, but that's pretty much at a standstill,
until one gets Maruku and HTML5lib working right under Ruby 1.9.
Fix Session CookieOverflow bug when rescuing an InstikiValidation error.
Fix some random things which will cause problems with Ruby 1.9. (Plenty
more where those came from.)
Implement amsthm-like Theorem environments with Maruku.
Support is based on Maruku "div"s with special class-names.
Classes
num_*
produce numbered environments, and
un_*
produce un-numbered environments, where * is one of
theorem (for Theorem)
lemma (for Lemma)
prop (for Proposition)
cor (for Corollary)
def (for Definition)
example (for Example)
remark (for Remark)
note (for Note)
In addition, the class
proof
produces a Proof environment.
The LaTeX export works as expected, and these also work in the S5 view.
Bumped version number.
IE7+MathPlayer do *not* like the charset parameter to be set in the
Content-Type header. Forcing Rails to omit that parameter is surprisingly
difficult.
The new sanitizer seems to work well (cuts the time required
to produce the Instiki Atom feed in half). Our strategy is to
use HTML5lib for <nowiki> content, but to use the new sanitizer
for content that has been processed by Maruku (and hence is
well-formed).
The one broken unit test won't affect us (since it dealt with
very malformed HTML).
Start work (which may not pan out) on a new sanitizer. Right now, it passes
all but 1 of the HTML5lib Sanitizer's unit tests. But it doesn't do much
of anything to ensure well-formedness. This is not an issue for Maruku-processed
content, but it is a concern for <nowiki> blocks.
(One solution would be to use the HTML5lib parser on <nowiki> blocks.)
In any case, this baby is 3 times as fast as the HTML5lib sanitizer.
Previously, used a regexp to find and convert named entities in the content.
Now use a more efficient algorithm.
Similar tweak for converting NCRs before checking whether text is valid utf-8.
Make remove_orphaned_pages work in a proxied situation.
Also, "fix" a busted functional test. I'm not happy with
this one. We're enforcing plain-text titles (which, I think,
is the correct thing to do), but sending them as type="html",
which then requires double-encoding.
Sam Ruby has been doing a bang-up job fixing the bugs in REXML.
Who knows when these improvements will trickle down to vendor distributions of Ruby.
In the meantime, let's bundle the latest version of REXML with Instiki.
We check the version number of the bundled REXML against that of the System REXML, and use whichever is later.
Upgraded to Rails 2.0.2, except that we maintain
vendor/rails/actionpack/lib/action_controller/routing.rb
from Rail 1.2.6 (at least for now), so that Routes don't change. We still
get to enjoy Rails's many new features.
Also fixed a bug in Chunk-handling: disable WikiWord processing in tags (for real this time).
Create a test case for utf-8 bug reported by Diego Restrepo. Seems to be related to WikiWord chunk handling.
Add some other tests, and fix a minor bug in vendor/plugins/maruku/lib/maruku/ext/math/latex_fix.rb.
OK. This is a better way: define a custom TreeWalker which converts named entities to utf-8 as it goes. This avoids having to do an extra tree traversal in sanitize_rexml, AND avoids the trainwreck that is html5/inputstream.rb.
My REXML::Element.to_ncr (and REXML::Element.to_utf8) is horribly slow. For long documents, it proves more efficient to serialize to a string, apply String.to_ncr (or String.to_utf8) and then Sanitize the string.
