mesa/.gitlab-ci/prepare-artifacts.sh

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#!/usr/bin/env bash
# shellcheck disable=SC2038 # TODO: rewrite the find
# shellcheck disable=SC2086 # we want word splitting
section_switch prepare-artifacts "artifacts: prepare"
set -e
set -o xtrace
CROSS_FILE=/cross_file-"$CROSS".txt
# Delete unused bin and includes from artifacts to save space.
rm -rf install/bin install/include
# Strip the drivers in the artifacts to cut 80% of the artifacts size.
if [ -n "$CROSS" ]; then
STRIP=$(sed -n -E "s/strip\s*=\s*\[?'(.*)'\]?/\1/p" "$CROSS_FILE")
if [ -z "$STRIP" ]; then
echo "Failed to find strip command in cross file"
exit 1
fi
else
STRIP="strip"
fi
if [ -z "$ARTIFACTS_DEBUG_SYMBOLS" ]; then
find install -name \*.so -exec $STRIP --strip-debug {} \;
fi
# Test runs don't pull down the git tree, so put the dEQP helper
# script and associated bits there.
echo "$(cat VERSION) (git-$(git rev-parse HEAD | cut -b -10))" > install/VERSION
cp -Rp .gitlab-ci/bare-metal install/
cp -Rp .gitlab-ci/common install/
cp -Rp .gitlab-ci/piglit install/
cp -Rp .gitlab-ci/fossils.yml install/
cp -Rp .gitlab-ci/fossils install/
cp -Rp .gitlab-ci/fossilize-runner.sh install/
cp -Rp .gitlab-ci/crosvm-init.sh install/
cp -Rp .gitlab-ci/*.txt install/
cp -Rp .gitlab-ci/report-flakes.py install/
cp -Rp .gitlab-ci/vkd3d-proton install/
cp -Rp .gitlab-ci/setup-test-env.sh install/
cp -Rp .gitlab-ci/*-runner.sh install/
cp -Rp .gitlab-ci/bin/structured_logger.py install/
cp -Rp .gitlab-ci/bin/custom_logger.py install/
find . -path \*/ci/\*.txt \
-o -path \*/ci/\*.toml \
-o -path \*/ci/\*traces\*.yml \
| xargs -I '{}' cp -p '{}' install/
# Tar up the install dir so that symlinks and hardlinks aren't each
# packed separately in the zip file.
mkdir -p artifacts/
tar -cf artifacts/install.tar install
cp -Rp .gitlab-ci/common artifacts/ci-common
cp -Rp .gitlab-ci/lava artifacts/
cp -Rp .gitlab-ci/b2c artifacts/
if [ -n "$S3_ARTIFACT_NAME" ]; then
# Pass needed files to the test stage
S3_ARTIFACT_NAME="$S3_ARTIFACT_NAME.tar.zst"
zstd artifacts/install.tar -o ${S3_ARTIFACT_NAME}
ci-fairy s3cp --token-file "${S3_JWT_FILE}" ${S3_ARTIFACT_NAME} https://${PIPELINE_ARTIFACTS_BASE}/${S3_ARTIFACT_NAME}
fi
section_end prepare-artifacts