124 lines
3.8 KiB
Bash
124 lines
3.8 KiB
Bash
#!/bin/bash
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# Copyright (C) 2025 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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set -e
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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 $1}')
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function build_docker_images() {
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opea_branch=${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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git clone https://github.com/vllm-project/vllm.git
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cd ./vllm/
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VLLM_VER="v0.8.3"
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echo "Check out vLLM tag ${VLLM_VER}"
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git checkout ${VLLM_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="audioqna-multilang audioqna-ui whisper gpt-sovits vllm"
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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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cd $WORKPATH/docker_compose/intel/cpu/xeon/
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export LLM_MODEL_ID=meta-llama/Meta-Llama-3-8B-Instruct
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export MEGA_SERVICE_HOST_IP=${ip_address}
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export WHISPER_SERVER_HOST_IP=${ip_address}
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export GPT_SOVITS_SERVER_HOST_IP=${ip_address}
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export LLM_SERVER_HOST_IP=${ip_address}
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export WHISPER_SERVER_PORT=7066
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export GPT_SOVITS_SERVER_PORT=9880
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export LLM_SERVER_PORT=3006
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export BACKEND_SERVICE_ENDPOINT=http://${ip_address}:3008/v1/audioqna
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export host_ip=${ip_address}
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# sed -i "s/backend_address/$ip_address/g" $WORKPATH/ui/svelte/.env
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# Start Docker Containers
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docker compose -f compose_multilang.yaml up -d > ${LOG_PATH}/start_services_with_compose.log
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n=0
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until [[ "$n" -ge 200 ]]; do
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docker logs vllm-service > $LOG_PATH/vllm_service_start.log 2>&1
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if grep -q complete $LOG_PATH/vllm_service_start.log; then
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break
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fi
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sleep 5s
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n=$((n+1))
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done
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}
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function validate_megaservice() {
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response=$(http_proxy="" curl http://${ip_address}:3008/v1/audioqna -XPOST -d '{"audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA", "max_tokens":64}' -H 'Content-Type: application/json')
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# always print the log
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docker logs whisper-service > $LOG_PATH/whisper-service.log
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docker logs gpt-sovits-service > $LOG_PATH/tts-service.log
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docker logs vllm-service > $LOG_PATH/vllm-service.log
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docker logs audioqna-xeon-backend-server > $LOG_PATH/audioqna-xeon-backend-server.log
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echo "$response" | sed 's/^"//;s/"$//' | base64 -d > speech.mp3
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if [[ $(file speech.mp3) == *"RIFF"* ]]; then
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echo "Result correct."
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else
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echo "Result wrong."
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exit 1
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fi
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}
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function stop_docker() {
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cd $WORKPATH/docker_compose/intel/cpu/xeon/
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docker compose -f compose_multilang.yaml stop && docker compose rm -f
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}
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function main() {
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echo "::group::stop_docker"
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stop_docker
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echo "::endgroup::"
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echo "::group::build_docker_images"
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if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
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echo "::endgroup::"
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echo "::group::start_services"
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start_services
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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::stop_docker"
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stop_docker
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docker system prune -f
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echo "::endgroup::"
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}
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main
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