141 lines
3.5 KiB
Bash
Executable File
141 lines
3.5 KiB
Bash
Executable File
#!/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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source ./common.sh
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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 $1}')
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HOST_IP=$ip_address
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COMPOSE_FILE="compose.yaml"
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EC_RAG_SERVICE_PORT=16010
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MODEL_PATH="/home/media/models"
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# MODEL_PATH="$WORKPATH/models"
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DOC_PATH="$WORKPATH/tests"
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UI_UPLOAD_PATH="$WORKPATH/tests"
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HF_ENDPOINT=https://hf-mirror.com
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function build_docker_images() {
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opea_branch=${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="edgecraftrag edgecraftrag-server edgecraftrag-ui"
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docker compose -f build.yaml build --no-cache > ${LOG_PATH}/docker_image_build.log
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docker images && sleep 1s
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}
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function start_services() {
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export MODEL_PATH=${MODEL_PATH}
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export DOC_PATH=${DOC_PATH}
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export UI_UPLOAD_PATH=${UI_UPLOAD_PATH}
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export HOST_IP=${HOST_IP}
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export LLM_MODEL=${LLM_MODEL}
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export HF_ENDPOINT=${HF_ENDPOINT}
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export vLLM_ENDPOINT=${vLLM_ENDPOINT}
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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export no_proxy="localhost, 127.0.0.1, 192.168.1.1"
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cd $WORKPATH/docker_compose/intel/gpu/arc
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# Start Docker Containers
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docker compose -f $COMPOSE_FILE up -d > ${LOG_PATH}/start_services_with_compose.log
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sleep 20
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}
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function validate_rag() {
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cd $WORKPATH/tests
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# setup pipeline
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validate_services \
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"${HOST_IP}:${EC_RAG_SERVICE_PORT}/v1/settings/pipelines" \
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"active" \
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"pipeline" \
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"edgecraftrag-server" \
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'@configs/test_pipeline_local_llm.json'
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# add data
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validate_services \
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"${HOST_IP}:${EC_RAG_SERVICE_PORT}/v1/data" \
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"Done" \
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"data" \
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"edgecraftrag-server" \
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'@configs/test_data.json'
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# query
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validate_services \
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"${HOST_IP}:${EC_RAG_SERVICE_PORT}/v1/chatqna" \
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"1234567890" \
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"query" \
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"edgecraftrag-server" \
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'{"messages":"What is the test id?"}'
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}
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function validate_megaservice() {
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# Curl the Mega Service
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validate_services \
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"${HOST_IP}:16011/v1/chatqna" \
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"1234567890" \
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"query" \
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"edgecraftrag-server" \
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'{"messages":"What is the test id?"}'
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}
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function stop_docker() {
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cd $WORKPATH/docker_compose/intel/gpu/arc
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docker compose -f $COMPOSE_FILE down
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}
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function main() {
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mkdir -p $LOG_PATH
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echo "::group::stop_docker"
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stop_docker
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echo "::endgroup::"
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echo "::group::build_docker_images"
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if [[ "$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_rag"
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validate_rag
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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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echo y | docker system prune
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echo "::endgroup::"
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}
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main
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