Add Nginx - docker in CodeTrans

CodeTrans/README.md

@@ -20,7 +20,7 @@ Currently we support two ways of deploying Code Translation services on docker:
    docker pull opea/codetrans:latest
    ```
 
-2. Start services using the docker images `built from source`: [Guide](./docker)
+2. Start services using the docker images `built from source`: [Guide](./docker/xeon/README.md)
 
 ### Setup Environment Variable
 
@@ -34,6 +34,8 @@ To set up environment variables for deploying Code Translation services, follow
    # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
    export no_proxy="Your_No_Proxy"
    export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
+   # Example: NGINX_PORT=80
+   export NGINX_PORT=${your_nginx_port}
    ```
 
 2. If you are in a proxy environment, also set the proxy-related environment variables:

CodeTrans/docker/docker_build_compose.yaml

@@ -22,3 +22,9 @@ services:
       dockerfile: comps/llms/text-generation/tgi/Dockerfile
     extends: codetrans
     image: ${REGISTRY:-opea}/llm-tgi:${TAG:-latest}
+  nginx:
+    build:
+      context: GenAIComps/comps/nginx/docker
+      dockerfile: ./Dockerfile
+    extends: codetrans
+    image: ${REGISTRY:-opea}/nginx:${TAG:-latest}

CodeTrans/docker/gaudi/README.md

@@ -13,7 +13,7 @@ git clone https://github.com/opea-project/GenAIComps.git
 cd GenAIComps
 ```
 
-### 2. Build the LLM Docker Image with the following command
+### 2. Build the LLM Docker Image
 
 ```bash
 docker build -t opea/llm-tgi:latest --no-cache --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/text-generation/tgi/Dockerfile .
@@ -34,29 +34,50 @@ cd GenAIExamples/CodeTrans/docker/ui
 docker build -t opea/codetrans-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
 ```
 
+### 5. Build Nginx Docker Image
+
+```bash
+cd GenAIComps/comps/nginx/docker
+docker build -t opea/nginx:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./Dockerfile .
+```
+
 Then run the command `docker images`, you will have the following Docker Images:
 
 - `opea/llm-tgi:latest`
 - `opea/codetrans:latest`
 - `opea/codetrans-ui:latest`
+- `opea/nginx:latest`
 
 ## 🚀 Start Microservices
 
 ### Setup Environment Variables
 
-Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below. Notice that the `LLM_MODEL_ID` indicates the LLM model used for TGI service.
+To set up environment variables for deploying Code Translation services, follow these steps:
 
-```bash
-export no_proxy=${your_no_proxy}
-export http_proxy=${your_http_proxy}
-export https_proxy=${your_http_proxy}
-export LLM_MODEL_ID="HuggingFaceH4/mistral-7b-grok"
-export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
-export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
-export MEGA_SERVICE_HOST_IP=${host_ip}
-export LLM_SERVICE_HOST_IP=${host_ip}
-export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:7777/v1/codetrans"
-```
+1. Set the required environment variables:
+
+   ```bash
+   # Example: host_ip="192.168.1.1"
+   export host_ip="External_Public_IP"
+   # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
+   export no_proxy="Your_No_Proxy"
+   export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
+   # Example: NGINX_PORT=80
+   export NGINX_PORT=${your_nginx_port}
+   ```
+
+2. If you are in a proxy environment, also set the proxy-related environment variables:
+
+   ```bash
+   export http_proxy="Your_HTTP_Proxy"
+   export https_proxy="Your_HTTPs_Proxy"
+   ```
+
+3. Set up other environment variables:
+
+   ```bash
+   source ../set_env.sh
+   ```
 
 ### Start Microservice Docker Containers
 
@@ -93,9 +114,24 @@ curl http://${host_ip}:7777/v1/codetrans \
     -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
 ```
 
+4. Nginx Service
+
+```bash
+curl http://${host_ip}:${NGINX_PORT}/v1/codetrans \
+    -H "Content-Type: application/json" \
+    -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
+```
+
 ## 🚀 Launch the UI
 
+### Launch with origin port
+
 Open this URL `http://{host_ip}:5173` in your browser to access the frontend.
+
+### Launch with Nginx
+
+If you want to launch the UI using Nginx, open this URL: `http://{host_ip}:{NGINX_PORT}` in your browser to access the frontend.
+
 ![image](https://github.com/intel-ai-tce/GenAIExamples/assets/21761437/71214938-819c-4979-89cb-c03d937cd7b5)
 
 Here is an example for summarizing a article.

CodeTrans/docker/gaudi/compose.yaml

@@ -64,6 +64,25 @@ services:
       - BASE_URL=${BACKEND_SERVICE_ENDPOINT}
     ipc: host
     restart: always
+  codetrans-gaudi-nginx-server:
+    image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
+    container_name: codetrans-gaudi-nginx-server
+    depends_on:
+      - codetrans-gaudi-backend-server
+      - codetrans-gaudi-ui-server
+    ports:
+      - "${NGINX_PORT:-80}:80"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - FRONTEND_SERVICE_IP=${FRONTEND_SERVICE_IP}
+      - FRONTEND_SERVICE_PORT=${FRONTEND_SERVICE_PORT}
+      - BACKEND_SERVICE_NAME=${BACKEND_SERVICE_NAME}
+      - BACKEND_SERVICE_IP=${BACKEND_SERVICE_IP}
+      - BACKEND_SERVICE_PORT=${BACKEND_SERVICE_PORT}
+    ipc: host
+    restart: always
 
 networks:
   default:

CodeTrans/docker/set_env.sh

@@ -9,3 +9,8 @@ export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
 export MEGA_SERVICE_HOST_IP=${host_ip}
 export LLM_SERVICE_HOST_IP=${host_ip}
 export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:7777/v1/codetrans"
+export FRONTEND_SERVICE_IP=${host_ip}
+export FRONTEND_SERVICE_PORT=5173
+export BACKEND_SERVICE_NAME=codetrans
+export BACKEND_SERVICE_IP=${host_ip}
+export BACKEND_SERVICE_PORT=7777

CodeTrans/docker/xeon/README.md

@@ -42,29 +42,50 @@ cd GenAIExamples/CodeTrans/docker/ui
 docker build -t opea/codetrans-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
 ```
 
+### 5. Build Nginx Docker Image
+
+```bash
+cd GenAIComps/comps/nginx/docker
+docker build -t opea/nginx:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./Dockerfile .
+```
+
 Then run the command `docker images`, you will have the following Docker Images:
 
 - `opea/llm-tgi:latest`
 - `opea/codetrans:latest`
 - `opea/codetrans-ui:latest`
+- `opea/nginx:latest`
 
 ## 🚀 Start Microservices
 
 ### Setup Environment Variables
 
-Since the `compose.yaml` will consume some environment variables, you need to setup them in advance as below. Notice that the `LLM_MODEL_ID` indicates the LLM model used for TGI service.
+To set up environment variables for deploying Code Translation services, follow these steps:
 
-```bash
-export no_proxy=${your_no_proxy}
-export http_proxy=${your_http_proxy}
-export https_proxy=${your_http_proxy}
-export LLM_MODEL_ID="HuggingFaceH4/mistral-7b-grok"
-export TGI_LLM_ENDPOINT="http://${host_ip}:8008"
-export HUGGINGFACEHUB_API_TOKEN=${your_hf_api_token}
-export MEGA_SERVICE_HOST_IP=${host_ip}
-export LLM_SERVICE_HOST_IP=${host_ip}
-export BACKEND_SERVICE_ENDPOINT="http://${host_ip}:7777/v1/codetrans"
-```
+1. Set the required environment variables:
+
+   ```bash
+   # Example: host_ip="192.168.1.1"
+   export host_ip="External_Public_IP"
+   # Example: no_proxy="localhost, 127.0.0.1, 192.168.1.1"
+   export no_proxy="Your_No_Proxy"
+   export HUGGINGFACEHUB_API_TOKEN="Your_Huggingface_API_Token"
+   # Example: NGINX_PORT=80
+   export NGINX_PORT=${your_nginx_port}
+   ```
+
+2. If you are in a proxy environment, also set the proxy-related environment variables:
+
+   ```bash
+   export http_proxy="Your_HTTP_Proxy"
+   export https_proxy="Your_HTTPs_Proxy"
+   ```
+
+3. Set up other environment variables:
+
+   ```bash
+   source ../set_env.sh
+   ```
 
 ### Start Microservice Docker Containers
 
@@ -100,3 +121,27 @@ curl http://${host_ip}:7777/v1/codetrans \
     -H "Content-Type: application/json" \
     -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
 ```
+
+4. Nginx Service
+
+```bash
+curl http://${host_ip}:${NGINX_PORT}/v1/codetrans \
+    -H "Content-Type: application/json" \
+    -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
+```
+
+## 🚀 Launch the UI
+
+### Launch with origin port
+
+Open this URL `http://{host_ip}:5173` in your browser to access the frontend.
+
+### Launch with Nginx
+
+If you want to launch the UI using Nginx, open this URL: `http://{host_ip}:{NGINX_PORT}` in your browser to access the frontend.
+
+![image](https://github.com/intel-ai-tce/GenAIExamples/assets/21761437/71214938-819c-4979-89cb-c03d937cd7b5)
+
+Here is an example for summarizing a article.
+
+![image](https://github.com/intel-ai-tce/GenAIExamples/assets/21761437/be543e96-ddcd-4ee0-9f2c-4e99fee77e37)

CodeTrans/docker/xeon/compose.yaml

@@ -59,6 +59,26 @@ services:
       - BASE_URL=${BACKEND_SERVICE_ENDPOINT}
     ipc: host
     restart: always
+  codetrans-xeon-nginx-server:
+    image: ${REGISTRY:-opea}/nginx:${TAG:-latest}
+    container_name: codetrans-xeon-nginx-server
+    depends_on:
+      - codetrans-xeon-backend-server
+      - codetrans-xeon-ui-server
+    ports:
+      - "${NGINX_PORT:-80}:80"
+    environment:
+      - no_proxy=${no_proxy}
+      - https_proxy=${https_proxy}
+      - http_proxy=${http_proxy}
+      - FRONTEND_SERVICE_IP=${FRONTEND_SERVICE_IP}
+      - FRONTEND_SERVICE_PORT=${FRONTEND_SERVICE_PORT}
+      - BACKEND_SERVICE_NAME=${BACKEND_SERVICE_NAME}
+      - BACKEND_SERVICE_IP=${BACKEND_SERVICE_IP}
+      - BACKEND_SERVICE_PORT=${BACKEND_SERVICE_PORT}
+    ipc: host
+    restart: always
+
 networks:
   default:
     driver: bridge

CodeTrans/tests/test_codetrans_on_gaudi.sh

@@ -19,7 +19,7 @@ function build_docker_images() {
     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="codetrans codetrans-ui llm-tgi"
+    service_list="codetrans codetrans-ui llm-tgi nginx"
     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:2.0.1
@@ -37,6 +37,12 @@ function start_services() {
     export MEGA_SERVICE_HOST_IP=${ip_address}
     export LLM_SERVICE_HOST_IP=${ip_address}
     export BACKEND_SERVICE_ENDPOINT="http://${ip_address}:7777/v1/codetrans"
+    export FRONTEND_SERVICE_IP=${ip_address}
+    export FRONTEND_SERVICE_PORT=5173
+    export BACKEND_SERVICE_NAME=codetrans
+    export BACKEND_SERVICE_IP=${ip_address}
+    export BACKEND_SERVICE_PORT=7777
+    export NGINX_PORT=80
 
     sed -i "s/backend_address/$ip_address/g" $WORKPATH/docker/ui/svelte/.env
 
@@ -108,6 +114,15 @@ function validate_megaservice() {
         "mega-codetrans" \
         "codetrans-gaudi-backend-server" \
         '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
+
+    # test the megeservice via nginx
+    validate_services \
+        "${ip_address}:80/v1/codetrans" \
+        "print" \
+        "mega-codetrans-nginx" \
+        "codetrans-gaudi-nginx-server" \
+        '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
+
 }
 
 function validate_frontend() {

CodeTrans/tests/test_codetrans_on_xeon.sh

@@ -19,10 +19,10 @@ function build_docker_images() {
     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="codetrans codetrans-ui llm-tgi"
+    service_list="codetrans codetrans-ui llm-tgi nginx"
     docker compose -f docker_build_compose.yaml build ${service_list} --no-cache > ${LOG_PATH}/docker_image_build.log
 
-    docker pull ghcr.io/huggingface/text-generation-inference:1.4
+    docker pull ghcr.io/huggingface/text-generation-inference:sha-e4201f4-intel-cpu
     docker images && sleep 1s
 }
 
@@ -36,6 +36,12 @@ function start_services() {
     export MEGA_SERVICE_HOST_IP=${ip_address}
     export LLM_SERVICE_HOST_IP=${ip_address}
     export BACKEND_SERVICE_ENDPOINT="http://${ip_address}:7777/v1/codetrans"
+    export FRONTEND_SERVICE_IP=${ip_address}
+    export FRONTEND_SERVICE_PORT=5173
+    export BACKEND_SERVICE_NAME=codetrans
+    export BACKEND_SERVICE_IP=${ip_address}
+    export BACKEND_SERVICE_PORT=7777
+    export NGINX_PORT=80
 
     sed -i "s/backend_address/$ip_address/g" $WORKPATH/docker/ui/svelte/.env
 
@@ -109,6 +115,14 @@ function validate_megaservice() {
         "codetrans-xeon-backend-server" \
         '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
 
+    # test the megeservice via nginx
+    validate_services \
+        "${ip_address}:80/v1/codetrans" \
+        "print" \
+        "mega-codetrans-nginx" \
+        "codetrans-xeon-nginx-server" \
+        '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n    fmt.Println(\"Hello, World!\");\n}"}'
+
 }
 
 function validate_frontend() {