190 lines
6.1 KiB
Bash
190 lines
6.1 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 -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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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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echo "Build all the images with --no-cache, check docker_image_build.log for details..."
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service_list="vllm-rocm llm-textgen codetrans codetrans-ui nginx"
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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 $WORKPATH/docker_compose/amd/gpu/rocm/
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source set_env_vllm.sh
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sed -i "s/backend_address/$ip_address/g" $WORKPATH/ui/svelte/.env
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# Start Docker Containers
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docker compose -f compose_vllm.yaml up -d > ${LOG_PATH}/start_services_with_compose.log
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n=0
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until [[ "$n" -ge 500 ]]; do
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docker logs codetrans-vllm-service >& "${LOG_PATH}"/codetrans-vllm-service_start.log
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if grep -q "Application startup complete" "${LOG_PATH}"/codetrans-vllm-service_start.log; then
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break
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fi
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sleep 20s
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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="$5"
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local HTTP_STATUS=$(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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sleep 5s
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}
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function validate_microservices() {
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# tgi for embedding service
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# vLLM for llm service
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validate_services \
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"${ip_address}:${CODETRANS_VLLM_SERVICE_PORT}/v1/chat/completions" \
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"content" \
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"codetrans-vllm-service" \
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"codetrans-vllm-service" \
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'{"model": "Qwen/Qwen2.5-Coder-7B-Instruct", "messages": [{"role": "user", "content": "What is Deep Learning?"}], "max_tokens": 17}'
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sleep 10
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# llm microservice
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validate_services \
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"${ip_address}:${CODETRANS_LLM_SERVICE_PORT}/v1/chat/completions" \
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"data: " \
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"codetrans-llm-server" \
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"codetrans-llm-server" \
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'{"query":" ### System: Please translate the following Golang codes into Python codes. ### Original codes: '\'''\'''\''Golang \npackage main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n '\'''\'''\'' ### Translated codes:"}'
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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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"${ip_address}:${CODETRANS_BACKEND_SERVICE_PORT}/v1/codetrans" \
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"print" \
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"codetrans-backend-server" \
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"codetrans-backend-server" \
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'{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n}\n"}'
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# test the megeservice via nginx
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validate_services \
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"${ip_address}:${CODETRANS_NGINX_PORT}/v1/codetrans" \
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"print" \
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"codetrans-nginx-server" \
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"codetrans-nginx-server" \
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'{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n}\n"}'
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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}/miniconda3/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 stop_docker() {
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cd $WORKPATH/docker_compose/amd/gpu/rocm/
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docker compose -f compose_vllm.yaml stop && docker compose -f compose_vllm.yaml rm -f
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}
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function main() {
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echo "::group::stop_docker"
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stop_docker
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echo "::endgroup::"
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echo "::group::build_docker_images"
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if [[ "$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_microservices"
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validate_microservices
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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_frontend"
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validate_frontend
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echo "::endgroup::"
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echo "::group::stop_docker"
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stop_docker
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echo "::endgroup::"
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docker system prune -f
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}
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main
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