* Removed docker plugin from gradle builds.
* Removed package docker image.
* Tasks now have correct inputs/outputs/dependencies.
* Move gradle help text to docker folder.
* Reduce duplicated Docker layer by doing file removal and chmod in another stage.
Co-authored-by: David Smiley <dsmiley@apache.org>
* Build Lucene binary distribution using Gradle
* Generate SHA-512 checksums for all release artifacts
* Update documentation artifacts included in binaries
* Delete some additional Ant relics
Co-authored-by: Dawid Weiss <dawid.weiss@carrotsearch.com>
Co-authored-by: Uwe Schindler <uschindler@apache.org>
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>
This also automatically collects linked projects by its dependencies, so we don't need to maintain all inter-project javadocs links.
Co-authored-by: Dawid Weiss <dweiss@apache.org>
Previous situation:
* The snowball base classes (Among, SnowballProgram, etc) had accumulated local performance-related changes. There was a task that would also "patch" generated classes (e.g. GermanStemmer) after-the-fact.
* Snowball classes had many "non-changes" from the original such as removal of tabs addition of javadocs, license headers, etc.
* Snowball test data (inputs and expected stems) was incorporated into lucene testing, but this was maintained manually. Also files had become large, making the test too slow (Nightly).
* Snowball stopwords lists from their website were manually maintained. In some cases encoding fixes were manually applied.
* Some generated stemmers (such as Estonian and Armenian) exist in lucene, but have no corresponding `.sbl` file in snowball sources at all.
Besides this mess, snowball project is "moving along" and acquiring new languages, adding non-BSD-licensed test data, huge test data, and other complexity. So it is time to automate the integration better.
New situation:
* Lucene has a `gradle snowball` regeneration task. It works on Linux or Mac only. It checks out their repos, applies the `snowball.patch` in our repository, compiles snowball stemmers, regenerates all java code, applies any adjustments so that our build is happy.
* Tests data is automatically regenerated from the commit hash of the snowball test data repository. Not all languages are tested from their data: only where the license is simple BSD. Test data is also (deterministically) sampled, so that we don't have huge files. We just want to make sure our integration works.
* Randomized tests are still set to test every language with generated fake words. The regeneration task ensures all languages get tested (it writes a simple text file list of them).
* Stopword files are automatically regenerated from the commit hash of the snowball website repository.
* The regeneration procedure is idempotent. This way when stuff does change, you know exactly what happened. For example if test data changes to a different license, you may see a git deletion. Or if a new language/stopwords/test data gets added, you will see git additions.