c70b021689
Signed-off-by: ZePan110 <ze.pan@intel.com> Co-authored-by: Ying Hu <ying.hu@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
248 lines
8.0 KiB
Bash
248 lines
8.0 KiB
Bash
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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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set -xe
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IMAGE_REPO=${IMAGE_REPO:-"opea"}
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IMAGE_TAG=${IMAGE_TAG:-"latest"}
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echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
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echo "TAG=IMAGE_TAG=${IMAGE_TAG}"
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export REGISTRY=${IMAGE_REPO}
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export TAG=${IMAGE_TAG}
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export MODEL_CACHE=${model_cache:-"./data"}
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WORKPATH=$(dirname "$PWD")
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LOG_PATH="$WORKPATH/tests"
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ip_address=$(hostname -I | awk '{print $1}')
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source $WORKPATH/docker_compose/intel/set_env.sh
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function build_docker_images() {
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opea_branch=${opea_branch:-"main"}
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cd $WORKPATH/docker_image_build
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git clone --depth 1 --branch ${opea_branch} https://github.com/opea-project/GenAIComps.git
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pushd GenAIComps
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echo "GenAIComps test commit is $(git rev-parse HEAD)"
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docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
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popd && sleep 1s
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# Download Gaudi vllm of latest tag
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git clone https://github.com/HabanaAI/vllm-fork.git && cd vllm-fork
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VLLM_FORK_VER=v0.6.6.post1+Gaudi-1.20.0
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echo "Check out vLLM tag ${VLLM_FORK_VER}"
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git checkout ${VLLM_FORK_VER} &> /dev/null && cd ../
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echo "Build all the images with --no-cache, check docker_image_build.log for details..."
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service_list="codegen codegen-gradio-ui llm-textgen vllm-gaudi dataprep retriever embedding"
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docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log
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docker images && sleep 1s
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}
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function start_services() {
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local compose_profile="$1"
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local llm_container_name="$2"
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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# Start Docker Containers
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docker compose --profile ${compose_profile} up -d | tee ${LOG_PATH}/start_services_with_compose.log
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n=0
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until [[ "$n" -ge 100 ]]; do
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docker logs ${llm_container_name} > ${LOG_PATH}/llm_service_start.log 2>&1
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if grep -E "Connected|complete" ${LOG_PATH}/llm_service_start.log; then
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break
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fi
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sleep 5s
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n=$((n+1))
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done
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}
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function validate_services() {
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local URL="$1"
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local EXPECTED_RESULT="$2"
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local SERVICE_NAME="$3"
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local DOCKER_NAME="$4"
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local INPUT_DATA="$5"
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if [[ "$SERVICE_NAME" == "ingest" ]]; then
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local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA" -F index_name=test_redis -H 'Content-Type: multipart/form-data' "$URL")
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if [ "$HTTP_STATUS" -eq 200 ]; then
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echo "[ $SERVICE_NAME ] HTTP status is 200. Data preparation succeeded..."
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else
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echo "[ $SERVICE_NAME ] Data preparation failed..."
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fi
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else
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local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL")
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if [ "$HTTP_STATUS" -eq 200 ]; then
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echo "[ $SERVICE_NAME ] HTTP status is 200. Checking content..."
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local CONTENT=$(curl -s -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
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if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
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echo "[ $SERVICE_NAME ] Content is as expected."
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else
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echo "[ $SERVICE_NAME ] Content does not match the expected result: $CONTENT"
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docker logs ${DOCKER_NAME} >> ${LOG_PATH}/${SERVICE_NAME}.log
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exit 1
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fi
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else
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echo "[ $SERVICE_NAME ] HTTP status is not 200. Received status was $HTTP_STATUS"
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docker logs ${DOCKER_NAME} >> ${LOG_PATH}/${SERVICE_NAME}.log
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exit 1
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fi
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fi
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sleep 5s
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}
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function validate_microservices() {
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local llm_container_name="$1"
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# tgi for llm service
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validate_services \
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"${ip_address}:8028/v1/chat/completions" \
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"completion_tokens" \
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"llm-service" \
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"${llm_container_name}" \
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'{"model": "Qwen/Qwen2.5-Coder-7B-Instruct", "messages": [{"role": "user", "content": "def print_hello_world():"}], "max_tokens": 256}'
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# llm microservice
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validate_services \
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"${ip_address}:9000/v1/chat/completions" \
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"data: " \
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"llm" \
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"llm-textgen-gaudi-server" \
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'{"query":"def print_hello_world():"}'
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# Data ingest microservice
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validate_services \
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"${ip_address}:6007/v1/dataprep/ingest" \
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"Data preparation succeeded" \
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"ingest" \
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"dataprep-redis-server" \
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'link_list=["https://modin.readthedocs.io/en/latest/index.html"]'
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}
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function validate_megaservice() {
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# Curl the Mega Service
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validate_services \
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"${ip_address}:7778/v1/codegen" \
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"print" \
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"mega-codegen" \
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"codegen-gaudi-backend-server" \
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'{"messages": "def print_hello_world():"}'
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# Curl the Mega Service with index_name and agents_flag
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validate_services \
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"${ip_address}:7778/v1/codegen" \
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"" \
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"mega-codegen" \
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"codegen-gaudi-backend-server" \
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'{ "index_name": "test_redis", "agents_flag": "True", "messages": "def print_hello_world():", "max_tokens": 256}'
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}
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function validate_frontend() {
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cd $WORKPATH/ui/svelte
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local conda_env_name="OPEA_e2e"
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export PATH=${HOME}/miniforge3/bin/:$PATH
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if conda info --envs | grep -q "$conda_env_name"; then
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echo "$conda_env_name exist!"
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else
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conda create -n ${conda_env_name} python=3.12 -y
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fi
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source activate ${conda_env_name}
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sed -i "s/localhost/$ip_address/g" playwright.config.ts
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conda install -c conda-forge nodejs=22.6.0 -y
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npm install && npm ci && npx playwright install --with-deps
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node -v && npm -v && pip list
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exit_status=0
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npx playwright test || exit_status=$?
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if [ $exit_status -ne 0 ]; then
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echo "[TEST INFO]: ---------frontend test failed---------"
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exit $exit_status
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else
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echo "[TEST INFO]: ---------frontend test passed---------"
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fi
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}
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function validate_gradio() {
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local URL="http://${ip_address}:5173/health"
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local HTTP_STATUS=$(curl "$URL")
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local SERVICE_NAME="Gradio"
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if [ "$HTTP_STATUS" = '{"status":"ok"}' ]; then
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echo "[ $SERVICE_NAME ] HTTP status is 200. UI server is running successfully..."
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else
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echo "[ $SERVICE_NAME ] UI server has failed..."
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fi
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}
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function stop_docker() {
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local docker_profile="$1"
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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docker compose --profile ${docker_profile} down
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}
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function main() {
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# all docker docker compose profiles for XEON Platform
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docker_compose_profiles=("codegen-gaudi-vllm" "codegen-gaudi-tgi")
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docker_llm_container_names=("vllm-gaudi-server" "tgi-gaudi-server")
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# get number of profiels and container
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len_profiles=${#docker_compose_profiles[@]}
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len_containers=${#docker_llm_container_names[@]}
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# number of profiels and docker container names must be matched
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if [ ${len_profiles} -ne ${len_containers} ]; then
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echo "Error: number of profiles ${len_profiles} and container names ${len_containers} mismatched"
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exit 1
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fi
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# stop_docker, stop all profiles
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for ((i = 0; i < len_profiles; i++)); do
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stop_docker "${docker_compose_profiles[${i}]}"
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done
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echo "::group::build_docker_images"
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if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
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echo "::endgroup::"
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# loop all profiles
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for ((i = 0; i < len_profiles; i++)); do
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echo "Process [${i}]: ${docker_compose_profiles[$i]}, ${docker_llm_container_names[${i}]}"
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echo "::group::start_services"
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start_services "${docker_compose_profiles[${i}]}" "${docker_llm_container_names[${i}]}"
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echo "::endgroup::"
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docker ps -a
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echo "::group::validate_microservices"
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validate_microservices "${docker_llm_container_names[${i}]}"
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echo "::endgroup::"
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echo "::group::validate_megaservice"
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validate_megaservice
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echo "::endgroup::"
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echo "::group::validate_gradio"
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validate_gradio
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echo "::endgroup::"
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stop_docker "${docker_compose_profiles[${i}]}"
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sleep 5s
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done
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docker system prune -f
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}
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main
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