This has the same logic as the previous python, but no longer relies
upon parsing HTML output, instead using java's doclet processor.
The errors are reported like "normal" javadoc errors with source file
name and line number and happen when running "gradlew javadoc"
Although the "rules" are the same as the previous python, the python had
some bugs where the checker didn't quite do exactly what we wanted, so
some fixes were applied throughout.
Co-authored-by: Dawid Weiss <dawid.weiss@carrotsearch.com>
Co-authored-by: Uwe Schindler <uschindler@apache.org>
* Remove DIH example directory
* Remove contrib code directories
* Remove contrib package related configurations for build tools
* Remove mention of DIH example
* remove dih as build dependencies and no-longer needed version pins
* Remove README references to DIH
* Remove dih mention from the script that probably does need to exist at all
* More build artifact references
* More removed dependencies leftovers (licenses/versions)
* No need to smoke exclude DIH anymore
* Remove Admin UI's DIH integration
* Remove DIH from shortname package list
* Remove unused DIH (related? not?) dataset
Unclear what is happening here, but there is no reference to that directory anywhere else
The other parallel directories ARE referenced in a TestConfigSetsAPI.java
* Hidden Idea files references
* No DIH to ignore anymore
* Remove last Derby DB references
* Remove DIH from documentation
Add the information in Major Changes document with the link to the external repo
* Added/updated a mention to CHANGES
* Fix leftover library mentions
* Fix Spellings
* No Introduction (to Solr) header. Point at solr-upgrade-notes.adoc instead
* No Getting Started header
* No Versions of Major Components header
* No "Upgrade Notes" for subsequent releases. See solr-upgrade-notes.adoc
Closes#1202
the "missing javadocs" checker needed tweaks to work with the format
changes of java 13.
As a followup we may investigate javadoc (maybe the new doclet api). It
has its own missing checks too now, but they are black vs white (either
fully documented or not checked), whereas this python tool allows us to
"improve", e.g. enforce that all classes have doc, even if all
methods do not yet.