a6b3caf128
Signed-off-by: lvliang-intel <liang1.lv@intel.com> Signed-off-by: Yue, Wenjiao <wenjiao.yue@intel.com> Signed-off-by: chensuyue <suyue.chen@intel.com>
125 lines
4.4 KiB
Bash
125 lines
4.4 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 -x
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WORKPATH=$(dirname "$PWD")
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LOG_PATH="$WORKPATH/tests"
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ip_name=$(echo $(hostname) | tr '[a-z]-' '[A-Z]_')_$(echo 'IP')
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ip_address=$(eval echo '$'$ip_name)
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function build_docker_images() {
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cd $WORKPATH
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git clone https://github.com/opea-project/GenAIComps.git
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cd GenAIComps
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docker build -t opea/gen-ai-comps:llm-docsum-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/docsum/langchain/docker/Dockerfile .
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cd $WORKPATH
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docker build --no-cache -t opea/gen-ai-comps:docsum-megaservice-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
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cd $WORKPATH/ui
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docker build --no-cache -t opea/gen-ai-comps:docsum-ui-server --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f docker/Dockerfile .
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docker images
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}
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function start_services() {
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cd $WORKPATH/docker-composer/xeon
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export LLM_MODEL_ID="Intel/neural-chat-7b-v3-3"
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export TGI_LLM_ENDPOINT="http://${ip_address}:8008"
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export MEGA_SERVICE_HOST_IP=${ip_address}
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export LLM_SERVICE_HOST_IP=${ip_address}
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export BACKEND_SERVICE_ENDPOINT="http://${ip_address}:8888/v1/docsum"
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# Start Docker Containers
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# TODO: Replace the container name with a test-specific name
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docker compose -f docker_compose.yaml up -d
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sleep 2m # Waits 2 minutes
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}
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function validate_microservices() {
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# Check if the microservices are running correctly.
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# TODO: Any results check required??
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curl http://${ip_address}:8008/generate \
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-X POST \
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-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
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-H 'Content-Type: application/json' > ${LOG_PATH}/generate.log
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exit_code=$?
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if [ $exit_code -ne 0 ]; then
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echo "Microservice failed, please check the logs in artifacts!"
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docker logs tgi_service >> ${LOG_PATH}/generate.log
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exit 1
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fi
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sleep 5s
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curl http://${ip_address}:9000/v1/chat/docsum \
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-X POST \
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-d '{"query":"Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."}' \
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-H 'Content-Type: application/json' > ${LOG_PATH}/completions.log
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exit_code=$?
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if [ $exit_code -ne 0 ]; then
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echo "Microservice failed, please check the logs in artifacts!"
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docker logs llm-docsum-server >> ${LOG_PATH}/completions.log
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exit 1
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fi
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sleep 5s
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}
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function validate_megaservice() {
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# Curl the Mega Service
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curl http://${ip_address}:8888/v1/docsum -H "Content-Type: application/json" -d '{
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"model": "Intel/neural-chat-7b-v3-3",
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"messages": "Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5."}' > ${LOG_PATH}/curl_megaservice.log
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echo "Checking response results, make sure the output is reasonable. "
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local status=false
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if [[ -f $LOG_PATH/curl_megaservice.log ]] && \
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[[ $(grep -c " flexible" $LOG_PATH/curl_megaservice.log) != 0 ]] && \
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[[ $(grep -c " tool" $LOG_PATH/curl_megaservice.log) != 0 ]] && \
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[[ $(grep -c "kit" $LOG_PATH/curl_megaservice.log) != 0 ]]; then
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status=true
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fi
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if [ $status == false ]; then
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echo "Response check failed, please check the logs in artifacts!"
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exit 1
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else
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echo "Response check succeed!"
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fi
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echo "Checking response format, make sure the output format is acceptable for UI."
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# TODO
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}
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function stop_docker() {
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cd $WORKPATH/docker-composer/xeon
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container_list=$(cat docker_compose.yaml | grep container_name | cut -d':' -f2)
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for container_name in $container_list; do
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cid=$(docker ps -aq --filter "name=$container_name")
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if [[ ! -z "$cid" ]]; then docker stop $cid && docker rm $cid && sleep 1s; fi
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done
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}
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function main() {
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stop_docker
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build_docker_images
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start_services
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validate_microservices
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validate_megaservice
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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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