3fb60608b3
Signed-off-by: lvliang-intel <liang1.lv@intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
139 lines
4.2 KiB
Bash
139 lines
4.2 KiB
Bash
#!/bin/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 -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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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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cd $WORKPATH/docker_image_build
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git clone https://github.com/opea-project/GenAIComps.git && cd GenAIComps && git checkout "${opea_branch:-"main"}" && 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 whisper-gaudi asr llm-tgi speecht5-gaudi tts"
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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 pull ghcr.io/huggingface/tgi-gaudi:2.0.5
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docker images && sleep 1s
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}
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function start_services() {
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export TGI_LLM_ENDPOINT=http://$ip_address:3006
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export LLM_MODEL_ID=Intel/neural-chat-7b-v3-3
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export ASR_ENDPOINT=http://$ip_address:7066
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export TTS_ENDPOINT=http://$ip_address:7055
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export MEGA_SERVICE_HOST_IP=${ip_address}
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export ASR_SERVICE_HOST_IP=${ip_address}
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export TTS_SERVICE_HOST_IP=${ip_address}
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export LLM_SERVICE_HOST_IP=${ip_address}
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export ASR_SERVICE_PORT=3001
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export TTS_SERVICE_PORT=3002
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export LLM_SERVICE_PORT=3007
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# sed -i "s/backend_address/$ip_address/g" $WORKPATH/ui/svelte/.env
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# Start Docker Containers
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docker compose up -d > ${LOG_PATH}/start_services_with_compose.log
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n=0
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until [[ "$n" -ge 100 ]]; do
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docker logs tgi-gaudi-server > $LOG_PATH/tgi_service_start.log
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if grep -q Connected $LOG_PATH/tgi_service_start.log; then
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break
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fi
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sleep 5s
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n=$((n+1))
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done
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n=0
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until [[ "$n" -ge 100 ]]; do
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docker logs whisper-service > $LOG_PATH/whisper_service_start.log
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if grep -q "Uvicorn server setup on port" $LOG_PATH/whisper_service_start.log; then
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break
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fi
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sleep 5s
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n=$((n+1))
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done
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}
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function validate_megaservice() {
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result=$(http_proxy="" curl http://${ip_address}:3008/v1/audioqna -XPOST -d '{"audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA", "max_tokens":64}' -H 'Content-Type: application/json')
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echo "result is === $result"
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if [[ $result == *"AAA"* ]]; then
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echo "Result correct."
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else
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docker logs whisper-service > $LOG_PATH/whisper-service.log
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docker logs asr-service > $LOG_PATH/asr-service.log
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docker logs speecht5-service > $LOG_PATH/tts-service.log
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docker logs tts-service > $LOG_PATH/tts-service.log
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docker logs tgi-gaudi-server > $LOG_PATH/tgi-gaudi-server.log
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docker logs llm-tgi-gaudi-server > $LOG_PATH/llm-tgi-gaudi-server.log
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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 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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## conda remove -n ${conda_env_name} --all -y
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## conda create -n ${conda_env_name} python=3.12 -y
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# source activate ${conda_env_name}
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#
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# sed -i "s/localhost/$ip_address/g" playwright.config.ts
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#
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## conda install -c conda-forge nodejs -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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#
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# exit_status=0
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# npx playwright test || exit_status=$?
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#
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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 stop_docker() {
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cd $WORKPATH/docker_compose/intel/hpu/gaudi
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docker compose stop && docker compose rm -f
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}
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function main() {
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stop_docker
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if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
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start_services
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# validate_microservices
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validate_megaservice
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# validate_frontend
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stop_docker
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echo y | docker system prune
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}
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main
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