Use local hub cache for AgentQnA test to save workspace. Signed-off-by: chensuyue <suyue.chen@intel.com>
197 lines
6.1 KiB
Bash
197 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 -e
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WORKPATH=$(dirname "$PWD")
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export WORKDIR=$WORKPATH/../../
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echo "WORKDIR=${WORKDIR}"
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export ip_address=$(hostname -I | awk '{print $1}')
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export TOOLSET_PATH=$WORKPATH/tools/
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export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
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model="meta-llama/Meta-Llama-3.1-70B-Instruct"
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export HF_CACHE_DIR=/data2/huggingface
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if [ ! -d "$HF_CACHE_DIR" ]; then
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HF_CACHE_DIR=$WORKDIR/hf_cache
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mkdir -p "$HF_CACHE_DIR"
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fi
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echo "HF_CACHE_DIR=$HF_CACHE_DIR"
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ls $HF_CACHE_DIR
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vllm_port=8086
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vllm_volume=${HF_CACHE_DIR}
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function start_tgi(){
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echo "Starting tgi-gaudi server"
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cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
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bash launch_tgi_gaudi.sh
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}
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function start_vllm_service_70B() {
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echo "token is ${HF_TOKEN}"
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echo "start vllm gaudi service"
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echo "**************model is $model**************"
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vllm_image=opea/vllm-gaudi:ci
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docker run -d --runtime=habana --rm --name "vllm-gaudi-server" -e HABANA_VISIBLE_DEVICES=0,1,2,3 -p $vllm_port:8000 -v $vllm_volume:/data -e HF_TOKEN=$HF_TOKEN -e HUGGING_FACE_HUB_TOKEN=$HF_TOKEN -e HF_HOME=/data -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy -e VLLM_SKIP_WARMUP=true --cap-add=sys_nice --ipc=host $vllm_image --model ${model} --max-seq-len-to-capture 16384 --tensor-parallel-size 4
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sleep 5s
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echo "Waiting vllm gaudi ready"
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n=0
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LOG_PATH=$PWD
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until [[ "$n" -ge 100 ]] || [[ $ready == true ]]; do
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docker logs vllm-gaudi-server
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docker logs vllm-gaudi-server &> ${LOG_PATH}/vllm-gaudi-service.log
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n=$((n+1))
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if grep -q "Uvicorn running on" ${LOG_PATH}/vllm-gaudi-service.log; then
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break
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fi
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if grep -q "No such container" ${LOG_PATH}/vllm-gaudi-service.log; then
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echo "container vllm-gaudi-server not found"
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exit 1
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fi
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sleep 5s
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done
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sleep 5s
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echo "Service started successfully"
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}
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function prepare_data() {
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cd $WORKDIR
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echo "Downloading data..."
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git clone https://github.com/TAG-Research/TAG-Bench.git
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cd TAG-Bench/setup
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chmod +x get_dbs.sh
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./get_dbs.sh
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echo "Split data..."
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cd $WORKPATH/tests/sql_agent_test
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bash run_data_split.sh
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echo "Data preparation done!"
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}
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function download_chinook_data(){
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echo "Downloading chinook data..."
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cd $WORKDIR
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git clone https://github.com/lerocha/chinook-database.git
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cp chinook-database/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite $WORKDIR/GenAIExamples/AgentQnA/tests/
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}
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function start_agent_and_api_server() {
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echo "Starting CRAG server"
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docker run -d --runtime=runc --name=kdd-cup-24-crag-service -p=8080:8000 docker.io/aicrowd/kdd-cup-24-crag-mock-api:v0
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echo "Starting Agent services"
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cd $WORKDIR/GenAIExamples/AgentQnA/docker_compose/intel/hpu/gaudi
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bash launch_agent_service_gaudi.sh
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sleep 2m
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}
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function validate() {
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local CONTENT="$1"
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local EXPECTED_RESULT="$2"
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local SERVICE_NAME="$3"
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if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
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echo "[ $SERVICE_NAME ] Content is as expected: $CONTENT"
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echo 0
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else
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echo "[ $SERVICE_NAME ] Content does not match the expected result: $CONTENT"
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echo 1
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fi
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}
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function validate_agent_service() {
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# # test worker rag agent
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echo "======================Testing worker rag agent======================"
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export agent_port="9095"
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prompt="Tell me about Michael Jackson song Thriller"
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local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
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# echo $CONTENT
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local EXIT_CODE=$(validate "$CONTENT" "Thriller" "rag-agent-endpoint")
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echo $EXIT_CODE
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local EXIT_CODE="${EXIT_CODE:0-1}"
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if [ "$EXIT_CODE" == "1" ]; then
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docker logs rag-agent-endpoint
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exit 1
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fi
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# # test worker sql agent
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echo "======================Testing worker sql agent======================"
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export agent_port="9096"
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prompt="How many employees are there in the company?"
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local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
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local EXIT_CODE=$(validate "$CONTENT" "8" "sql-agent-endpoint")
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echo $CONTENT
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# echo $EXIT_CODE
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local EXIT_CODE="${EXIT_CODE:0-1}"
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if [ "$EXIT_CODE" == "1" ]; then
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docker logs sql-agent-endpoint
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exit 1
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fi
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# test supervisor react agent
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echo "======================Testing supervisor react agent======================"
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export agent_port="9090"
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prompt="How many albums does Iron Maiden have?"
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local CONTENT=$(python3 $WORKDIR/GenAIExamples/AgentQnA/tests/test.py --prompt "$prompt")
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local EXIT_CODE=$(validate "$CONTENT" "21" "react-agent-endpoint")
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# echo $CONTENT
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echo $EXIT_CODE
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local EXIT_CODE="${EXIT_CODE:0-1}"
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if [ "$EXIT_CODE" == "1" ]; then
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docker logs react-agent-endpoint
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exit 1
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fi
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}
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function remove_data() {
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echo "Removing data..."
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cd $WORKDIR
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if [ -d "TAG-Bench" ]; then
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rm -rf TAG-Bench
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fi
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echo "Data removed!"
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}
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function remove_chinook_data(){
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echo "Removing chinook data..."
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cd $WORKDIR
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if [ -d "chinook-database" ]; then
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rm -rf chinook-database
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fi
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echo "Chinook data removed!"
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}
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function main() {
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echo "==================== Prepare data ===================="
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download_chinook_data
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echo "==================== Data prepare done ===================="
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echo "==================== Start VLLM service ===================="
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start_vllm_service_70B
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echo "==================== VLLM service started ===================="
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echo "==================== Start agent ===================="
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start_agent_and_api_server
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echo "==================== Agent started ===================="
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echo "==================== Validate agent service ===================="
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validate_agent_service
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echo "==================== Agent service validated ===================="
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}
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remove_data
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remove_chinook_data
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main
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remove_data
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remove_chinook_data
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