* See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.resource.transport.gcp.gcs;

import org.gradle.internal.resource.connector.ResourceConnectorFactory;
import org.gradle.internal.service.Provides;
import org.gradle.internal.service.ServiceRegistration;

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
# 1. Upload nightlies
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

        api(libs.develocityTestAnnotation) { version { strictly("2.0.1") }}
        api(libs.gcs)                   { version { strictly("v1-rev20220705-1.32.1") }}
        api(libs.googleApiClient)       { version { strictly("1.34.0"); because("our GCS version requires 1.34.0") }}

    val eclipseSisuPlexus = "org.eclipse.sisu:org.eclipse.sisu.plexus"
    val errorProneAnnotations = "com.google.errorprone:error_prone_annotations"
    val fastutil = "it.unimi.dsi:fastutil"
    val gcs = "com.google.apis:google-api-services-storage"
    val googleApiClient = "com.google.api-client:google-api-client"
    val googleHttpClient = "com.google.http-client:google-http-client"

if not hasattr(_current_module, "__path__"):
  __path__ = [_tf_api_dir]
elif _tf_api_dir not in __path__:
  __path__.append(_tf_api_dir)

# Hook external TensorFlow modules.

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

			cfg.Azure.SPAuth.ClientID = creds.AzSP.ClientID
		}
		if creds.AzSP.ClientSecret != "" {
			cfg.Azure.SPAuth.ClientSecret = creds.AzSP.ClientSecret
		}
	case madmin.GCS:
		if creds.CredsJSON == nil {
			return errTierMissingCredentials
		}
		cfg.GCS.Creds = base64.URLEncoding.EncodeToString(creds.CredsJSON)
	case madmin.MinIO:
		if creds.AccessKey == "" || creds.SecretKey == "" {
			return errTierMissingCredentials
		}

# to PyPI.
if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then
  pip install twine==3.6.0
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then

# reexport_tf_summary can get compat from sys.modules. Only needed if using
# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

			c.Status.(*kstatus.WrappedStatus).Mutate(func(s config.Status) config.Status {
				gcs := s.(*k8s.GatewayClassStatus)
				gcs.SupportedFeatures = []k8s.SupportedFeature{"HTTPRouteFeatureA", "HTTPRouteFeatureB"}
				return gcs
			})
		}
		c = c.DeepCopy()
		c.Spec = nil
		c.Labels = nil
		c.Annotations = nil