Verify if builds work

ci/build_python.sh

@@ -3,58 +3,30 @@
 
 set -euo pipefail
 
-# TODO: uncomment when we're ready to begin uploading artifacts in CI
-# rapids-configure-conda-channels
-
-# configuring sccache shouldn't be necessary in a pure-Python project build
-# source rapids-configure-sccache
+rapids-configure-conda-channels
 
 source rapids-date-string
 
-export CMAKE_GENERATOR=Ninja
-
 rapids-print-env
 
-export RAPIDS_BUILD_TYPE=nightly
-export RAPIDS_REPOSITORY=rapidsai/cugraph
-export RAPIDS_NIGHTLY_DATE=$(printf '%(%Y-%m-%d)T\n' -1)
-CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
-
 rapids-generate-version > ./VERSION
 export RAPIDS_PACKAGE_VERSION=$(head -1 ./VERSION)
 
 rapids-logger "Begin py build"
 
 # TODO: Remove `--no-test` flags once importing on a CPU
 # node works correctly
-rapids-conda-retry mambabuild \
-  --no-test \
-  --channel "${CPP_CHANNEL}" \
-  conda/recipes/pylibcugraph
-
-rapids-conda-retry mambabuild \
-  --no-test \
-  --channel "${CPP_CHANNEL}" \
-  --channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
-  conda/recipes/cugraph
 
 # NOTE: nothing in nx-cugraph is CUDA-specific, but it is built on each CUDA
 # platform to ensure it is included in each set of artifacts, since test
 # scripts only install from one set of artifacts based on the CUDA version used
 # for the test run.
 rapids-conda-retry mambabuild \
   --no-test \
-  --channel "${CPP_CHANNEL}" \
   --channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
   conda/recipes/nx-cugraph
 
-# removed mambabuild for cugraph-service
-
 RAPIDS_CUDA_MAJOR="${RAPIDS_CUDA_VERSION%%.*}"
 
-# removed mambabuild steps for conda
-
-# removed mambabuild for cugraph equivariant
-
 # TODO: uncomment when we're ready to upload artifacts in CI
 # rapids-upload-conda-to-s3 python