Add new test cases for VisualQnA (#712)

* Add new test cases for VisualQnA

Signed-off-by: lvliang-intel <[email protected]>

VisualQnA/docker/docker_build_compose.yaml

@@ -0,0 +1,24 @@
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+services:
+  visualqna:
+    build:
+      args:
+        http_proxy: ${http_proxy}
+        https_proxy: ${https_proxy}
+        no_proxy: ${no_proxy}
+      dockerfile: ./Dockerfile
+    image: ${REGISTRY:-opea}/visualqna:${TAG:-latest}
+  visualqna-ui:
+    build:
+      context: ui
+      dockerfile: ./docker/Dockerfile
+    extends: visualqna
+    image: ${REGISTRY:-opea}/visualqna-ui:${TAG:-latest}
+  llm-visualqna-tgi:
+    build:
+      context: GenAIComps
+      dockerfile: comps/lvms/Dockerfile_tgi
+    extends: visualqna
+    image: ${REGISTRY:-opea}/lvm-tgi:${TAG:-latest}

VisualQnA/docker/gaudi/README.md

@@ -19,15 +19,10 @@ cd GenAIComps
 docker build --no-cache -t opea/lvm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/lvms/Dockerfile_tgi .
 ```
 
-### 3. Build TGI Gaudi Image
-
-Since TGI Gaudi has not supported llava-next in main branch, we'll need to build it from a PR branch for now.
+### 3. Pull TGI Gaudi Image
 
 ```bash
-git clone https://github.com/huggingface/tgi-gaudi.git
-cd tgi-gaudi/
-docker build -t opea/llava-tgi:latest .
-cd ../
+docker pull ghcr.io/huggingface/tgi-gaudi:2.0.4
 ```
 
 ### 4. Build MegaService Docker Image

VisualQnA/docker/gaudi/compose.yaml

@@ -3,7 +3,7 @@
 
 services:
   llava-tgi-service:
-    image: ${REGISTRY:-opea}/llava-tgi:${TAG:-latest}
+    image: ghcr.io/huggingface/tgi-gaudi:2.0.4
     container_name: tgi-llava-gaudi-server
     ports:
       - "8399:80"

VisualQnA/docker/xeon/compose.yaml

@@ -19,7 +19,7 @@ services:
     command: --model-id ${LVM_MODEL_ID} --max-input-length 4096 --max-total-tokens 8192 --cuda-graphs 0
   lvm-tgi:
     image: ${REGISTRY:-opea}/lvm-tgi:${TAG:-latest}
-    container_name: lvm-tgi-server
+    container_name: lvm-tgi-xeon-server
     depends_on:
       - llava-tgi-service
     ports:

VisualQnA/tests/test_visualqna_on_gaudi.sh

@@ -0,0 +1,174 @@
+#!/bin/bash
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+set -x
+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}
+
+WORKPATH=$(dirname "$PWD")
+LOG_PATH="$WORKPATH/tests"
+ip_address=$(hostname -I | awk '{print $1}')
+
+function build_docker_images() {
+    cd $WORKPATH/docker
+    git clone https://github.com/opea-project/GenAIComps.git
+
+    echo "Build all the images with --no-cache, check docker_image_build.log for details..."
+    service_list="visualqna visualqna-ui llm-visualqna-tgi"
+    docker compose -f docker_build_compose.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log
+
+    docker pull ghcr.io/huggingface/tgi-gaudi:2.0.4
+    docker images && sleep 1s
+}
+
+function start_services() {
+    cd $WORKPATH/docker/gaudi
+
+    export LVM_MODEL_ID="llava-hf/llava-v1.6-mistral-7b-hf"
+    export LVM_ENDPOINT="http://${ip_address}:8399"
+    export HUGGINGFACEHUB_API_TOKEN=${HUGGINGFACEHUB_API_TOKEN}
+    export LVM_SERVICE_PORT=9399
+    export MEGA_SERVICE_HOST_IP=${ip_address}
+    export LVM_SERVICE_HOST_IP=${ip_address}
+    export BACKEND_SERVICE_ENDPOINT="http://${ip_address}:8888/v1/visualqna"
+
+    sed -i "s/backend_address/$ip_address/g" $WORKPATH/docker/ui/svelte/.env
+
+    # Start Docker Containers
+    docker compose up -d > ${LOG_PATH}/start_services_with_compose.log
+
+    n=0
+    until [[ "$n" -ge 100 ]]; do
+        docker logs lvm-tgi-gaudi-server > ${LOG_PATH}/lvm_tgi_service_start.log
+        if grep -q Connected ${LOG_PATH}/lvm_tgi_service_start.log; then
+            break
+        fi
+        sleep 5s
+        n=$((n+1))
+    done
+}
+
+function validate_services() {
+    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.
+
+    # lvm microservice
+    validate_services \
+        "${ip_address}:9399/v1/lvm" \
+        "The image" \
+        "lvm-tgi" \
+        "lvm-tgi-gaudi-server" \
+        '{"image": "iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8/5+hnoEIwDiqkL4KAcT9GO0U4BxoAAAAAElFTkSuQmCC", "prompt":"What is this?"}'
+}
+
+function validate_megaservice() {
+    # Curl the Mega Service
+    validate_services \
+    "${ip_address}:8888/v1/visualqna" \
+    "The image" \
+    "visualqna-gaudi-backend-server" \
+    "visualqna-gaudi-backend-server" \
+    '{
+        "messages": [
+        {
+            "role": "user",
+            "content": [
+            {
+                "type": "text",
+                "text": "What'\''s in this image?"
+            },
+            {
+                "type": "image_url",
+                "image_url": {
+                "url": "https://www.ilankelman.org/stopsigns/australia.jpg"
+                }
+            }
+            ]
+        }
+        ],
+        "max_tokens": 300
+    }'
+}
+
+function validate_frontend() {
+    cd $WORKPATH/docker/ui/svelte
+    local conda_env_name="OPEA_e2e"
+    export PATH=${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 -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 $WORKPATH/docker/gaudi
+    docker compose stop && docker compose rm -f
+}
+
+function main() {
+
+    stop_docker
+
+    if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi
+    start_services
+
+    validate_microservices
+    validate_megaservice
+    #validate_frontend
+
+    stop_docker
+    echo y | docker system prune
+
+}
+
+main