Turns out that putting this in the main build definition starklark file
means that our users will also incur a dependency on the repo rule.
That's no bueno.
This reverts commit 78e443b4f6.
* Remove the toolchains //third_party/toolchains:local and //third_party/toolchains:local_large.
* Remove the platforms :rbe_ubuntu1604, :rbe_ubuntu1604_large, :local and :local_large.
* No longer inherit from @rbe_default//config:platform but instead use it directly. It is now the only non-windows platform.
* When creating @rbe_default//config:platform directly with rbe_autoconfig, set dockerAddCapabilities and dockerPrivileged directly in the exec_properties field. No need to set dockerNetwork to "off" and dockerSiblingContainers to false since these are the defaults.
* Also set gceMachineType = "n1-highmem-2" on the default platform. This value can be overridden by specific targets that want to use LARGE_MACHINE.
* Use create_exec_properties_dict where appropriate.
* Use custom_exec_properties to define LARGE_MACHINE.
I wasn't able to test thoroughly that this PR does not break any existing targets. I was not able to run anything on windows/mac and I also don't have access to gRPC's RBE setup.
More generic configuration system is introduced in order to i) unify the
way how modules access the configurations instead of using low-level
get/setenv functions and ii) enable the customization for where configuration
is stored. This could be extended to support flag, file, etc.
Default configuration system uses environment variables as before so
basically this is expected to work just as it did. This behavior can
change by redefining GPR_GLOBAL_CONFIG_DEFINE_*type* macros.
* Migrated configuration
GRPC_CLIENT_CHANNEL_BACKUP_POLL_INTERVAL_MS
GRPC_EXPERIMENTAL_DISABLE_FLOW_CONTROL
GRPC_ABORT_ON_LEAKS
GRPC_NOT_USE_SYSTEM_SSL_ROOTS
The source code is moved from src/python to
src/python/src. A setup.py is added at
src/python. The build_python.sh and
run_python.sh scripts are updated to build
and run the Python tests by building a
package and installing it in the developer's
Python 2.7 virtual environment.