Add the repository name as a parameter to the output path functions

This doesn't do anything yet, it's in preparation for the execroot rearranging
change.  The execroot will have one bazel-out per repo, so it'll look like:

execroot/
  repo1/
    bazel-out/
      local-fastbuild/
        bin/
  repo2/
    bazel-out/
      local-fastbuild/
        bin/
        genfiles/
  repo3/
    bazel-out/
      local-fastbuild/
        testlogs/

and so on. Thus, any output path (getBinDirectory() & friends) needs to know
what the repo name is. This changes so many places in the code I thought it
would be good to do separately, then just flip the functionality in the
execroot-rearranging commit.

While I was poking around, I changed all of the refs I could from getPackageRelativeArtifact() to getBin/GenfilesArtifact(), so that 1) rule implementation don't have to know as much about roots and 2) they'll be more isolated from other output dir changes.

`bazel info` and similar just return roots for the main repository.

The only "change" is passing around a target label in the Java rules.

Continues work on #1262.

--
MOS_MIGRATED_REVID=129985336
53 files changed
tree: 0843a158162c246f49d10058e57427f13754c6de
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. compile.sh
  13. CONTRIBUTING.md
  14. CONTRIBUTORS
  15. LICENSE.txt
  16. README.md
  17. WORKSPACE
README.md

Bazel (Beta)

{Fast, Correct} - Choose two

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google‘s software, and thus it has been designed to handle build problems present in Google’s development environment, including:

  • A massive, shared code repository, in which all software is built from source. Bazel has been built for speed, using both caching and parallelism to achieve this. Bazel is critical to Google's ability to continue to scale its software development practices as the company grows.

  • An emphasis on automated testing and releases. Bazel has been built for correctness and reproducibility, meaning that a build performed on a continuous build machine or in a release pipeline will generate bitwise-identical outputs to those generated on a developer's machine.

  • Language and platform diversity. Bazel's architecture is general enough to support many different programming languages within Google, and can be used to build both client and server software targeting multiple architectures from the same underlying codebase.

Find more background about Bazel in our FAQ.

Getting Started

About the Bazel project: