add test script

ChatQnA/tests/test_compose_remote_on_xeon.sh

@@ -0,0 +1,184 @@
+#!/bin/bash
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+set -xe
+IMAGE_REPO=${IMAGE_REPO:-"opea"}
+IMAGE_TAG=${IMAGE_TAG:-"latest"}
+echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
+echo "TAG=IMAGE_TAG=${IMAGE_TAG}"
+export REGISTRY=${IMAGE_REPO}
+export TAG=${IMAGE_TAG}
+export MODEL_CACHE=${model_cache:-"./data"}
+
+WORKPATH=$(dirname "$PWD")
+LOG_PATH="$WORKPATH/tests"
+ip_address=$(hostname -I | awk '{print $1}')
+
+function build_docker_images() {
+    opea_branch=${opea_branch:-"main"}
+    cd $WORKPATH/docker_image_build
+    git clone --depth 1 --branch ${opea_branch} https://github.com/opea-project/GenAIComps.git
+    pushd GenAIComps
+    echo "GenAIComps test commit is $(git rev-parse HEAD)"
+    docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
+    popd && sleep 1s
+
+    echo "Build all the images with --no-cache, check docker_image_build.log for details..."
+    service_list="chatqna chatqna-ui dataprep retriever nginx"
+    docker compose -f build.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log
+    docker run --env "VLLM_SKIP_WARMUP=true" -p 8000:8000 --ipc=host public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.9.2 --model TinyLlama/TinyLlama-1.1B-Chat-v1.0 --api-key $TEST_KEY
+    docker images && sleep 1s
+}
+
+function start_services() {
+    cd $WORKPATH/docker_compose/intel/cpu/xeon
+
+    source set_env.sh
+    export REMOTE_ENDPOINT=http://localhost:8000
+    export API_KEY=$TEST_KEY
+    export LLM_MODEL_ID=TinyLlama/TinyLlama-1.1B-Chat-v1.0
+
+    # Start Docker Containers
+    docker compose -f compose_remote.yaml -f compose.telemetry.yaml up -d --quiet-pull > ${LOG_PATH}/start_services_with_compose_remote.log
+}
+
+function validate_service() {
+    local URL="$1"
+    local EXPECTED_RESULT="$2"
+    local SERVICE_NAME="$3"
+    local DOCKER_NAME="$4"
+    local INPUT_DATA="$5"
+
+    local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL")
+    if [ "$HTTP_STATUS" -eq 200 ]; then
+        echo "[ $SERVICE_NAME ] HTTP status is 200. Checking content..."
+
+        local CONTENT=$(curl -s -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)
+
+        if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
+            echo "[ $SERVICE_NAME ] Content is as expected."
+        else
+            echo "[ $SERVICE_NAME ] Content does not match the expected result: $CONTENT"
+            docker logs ${DOCKER_NAME} >> ${LOG_PATH}/${SERVICE_NAME}.log
+            exit 1
+        fi
+    else
+        echo "[ $SERVICE_NAME ] HTTP status is not 200. Received status was $HTTP_STATUS"
+        docker logs ${DOCKER_NAME} >> ${LOG_PATH}/${SERVICE_NAME}.log
+        exit 1
+    fi
+    sleep 1s
+}
+
+function validate_microservices() {
+    # Check if the microservices are running correctly.
+    sleep 3m
+
+    # tei for embedding service
+    validate_service \
+        "${ip_address}:6006/embed" \
+        "\[\[" \
+        "tei-embedding" \
+        "tei-embedding-server" \
+        '{"inputs":"What is Deep Learning?"}'
+
+    # retrieval microservice
+    test_embedding=$(python3 -c "import random; embedding = [random.uniform(-1, 1) for _ in range(768)]; print(embedding)")
+    validate_service \
+        "${ip_address}:7000/v1/retrieval" \
+        " " \
+        "retrieval" \
+        "retriever-redis-server" \
+        "{\"text\":\"What is the revenue of Nike in 2023?\",\"embedding\":${test_embedding}}"
+
+    # tei for rerank microservice
+    validate_service \
+        "${ip_address}:8808/rerank" \
+        '{"index":1,"score":' \
+        "tei-rerank" \
+        "tei-reranking-server" \
+        '{"query":"What is Deep Learning?", "texts": ["Deep Learning is not...", "Deep learning is..."]}'
+
+}
+
+function validate_megaservice() {
+    # Curl the Mega Service
+    validate_service \
+        "${ip_address}:8888/v1/chatqna" \
+        "Nike" \
+        "mega-chatqna" \
+        "chatqna-xeon-backend-server" \
+        '{"messages": "What is the revenue of Nike in 2023?"}'
+
+}
+
+function validate_frontend() {
+    cd $WORKPATH/ui/svelte
+    local conda_env_name="OPEA_e2e"
+    export PATH=${HOME}/miniforge3/bin/:$PATH
+    if conda info --envs | grep -q "$conda_env_name"; then
+        echo "$conda_env_name exist!"
+    else
+        conda create -n ${conda_env_name} python=3.12 -y
+    fi
+
+    source activate ${conda_env_name}
+
+    sed -i "s/localhost/$ip_address/g" playwright.config.ts
+
+    conda install -c conda-forge nodejs=22.6.0 -y
+    npm install && npm ci && npx playwright install --with-deps
+    node -v && npm -v && pip list
+
+    exit_status=0
+    npx playwright test || exit_status=$?
+
+    if [ $exit_status -ne 0 ]; then
+        echo "[TEST INFO]: ---------frontend test failed---------"
+        exit $exit_status
+    else
+        echo "[TEST INFO]: ---------frontend test passed---------"
+    fi
+}
+
+function stop_docker() {
+    cd $WORKPATH/docker_compose/intel/cpu/xeon
+    docker compose -f compose_remote.yaml -f compose.telemetry.yaml down
+}
+
+function main() {
+
+    echo "::group::stop_docker"
+    stop_docker
+    echo "::endgroup::"
+
+    echo "::group::build_docker_images"
+    if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
+    echo "::endgroup::"
+
+    echo "::group::start_services"
+    start_services
+    echo "::endgroup::"
+
+    echo "::group::validate_microservices"
+    validate_microservices
+    echo "::endgroup::"
+
+    echo "::group::validate_megaservice"
+    validate_megaservice
+    echo "::endgroup::"
+
+    echo "::group::validate_frontend"
+    validate_frontend
+    echo "::endgroup::"
+
+    echo "::group::stop_docker"
+    stop_docker
+    echo "::endgroup::"
+
+    docker system prune -f
+
+}
+
+main