🗨 Feedback Management Microservice with MongoDB

This README provides setup guides and all the necessary information about the Feedback Management microservice with MongoDB database.

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Setup Environment Variables

export http_proxy=${your_http_proxy}
export https_proxy=${your_http_proxy}
export OPEA_STORE_NAME="mongodb"
export MONGO_HOST=${MONGO_HOST}
export MONGO_HOST=27017
export DB_NAME=${DB_NAME}
export COLLECTION_NAME=${COLLECTION_NAME}

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🚀 Start Microservice with Docker (Option 1)

Build Docker Image

cd ~/GenAIComps
docker build -t opea/feedbackmanagement:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/feedback_management/src/Dockerfile .

Run Docker with CLI

• Run MongoDB image container

  docker run -d -p 27017:27017 --name=mongo mongo:latest
  

• Run Feedback Management microservice

  docker run -d --name="feedbackmanagement-mongo-server" -p 6016:6016 -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e no_proxy=$no_proxy -e MONGO_HOST=${MONGO_HOST} -e MONGO_PORT=${MONGO_PORT} -e DB_NAME=${DB_NAME} -e COLLECTION_NAME=${COLLECTION_NAME} opea/feedbackmanagement:latest
  

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🚀 Start Microservice with Docker Compose (Option 2)

docker compose -f ../deployment/docker_compose/compose.yaml up -d feedbackmanagement-mongo

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✅ Invoke Microservice

The Feedback Management microservice exposes the following API endpoints:

• Save feedback data

  curl -X 'POST' \
    http://${host_ip}:6016/v1/feedback/create \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -d '{
    "chat_id": "66445d4f71c7eff23d44f78d",
    "chat_data": {
      "user": "test",
      "messages": [
        {
          "role": "system",
          "content": "You are helpful assistant"
        },
        {
          "role": "user",
          "content": "hi",
          "time": "1724915247"
        },
        {
          "role": "assistant",
          "content": "Hi, may I help you?",
          "time": "1724915249"
        }
      ]
    },
    "feedback_data": {
      "comment": "Moderate",
      "rating": 3,
      "is_thumbs_up": true
    }}'
  
  
  # Take note that chat_id here would be the id get from chathistory_mongo service
  # If you do not wish to maintain chat history via chathistory_mongo service, you may generate some random uuid for it or just leave it empty.
  

• Update feedback data by feedback_id

  curl -X 'POST' \
    http://${host_ip}:6016/v1/feedback/create \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -d '{
    "chat_id": "66445d4f71c7eff23d44f78d",
    "chat_data": {
      "user": "test",
      "messages": [
        {
          "role": "system",
          "content": "You are helpful assistant"
        },
        {
          "role": "user",
          "content": "hi",
          "time": "1724915247"
        },
        {
          "role": "assistant",
          "content": "Hi, may I help you?",
          "time": "1724915249"
        }
      ]
    },
    "feedback_data": {
      "comment": "Fair and Moderate answer",
      "rating": 2,
      "is_thumbs_up": true
    },
    "feedback_id": "{feedback_id of the data that wanted to update}"}'
  
  # Just include any feedback_data field value that you wanted to update.
  

• Retrieve feedback data by user

  curl -X 'POST' \
    http://${host_ip}:6016/v1/feedback/get \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -d '{
    "user": "test"}'
  

• Retrieve feedback data by feedback_id

  curl -X 'POST' \
    http://${host_ip}:6016/v1/feedback/get \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -d '{
    "user": "test", "feedback_id":"{feedback_id returned from save feedback route above}"}'
  

• Delete feedback data by feedback_id

  curl -X 'POST' \
    http://${host_ip}:6016/v1/feedback/delete \
    -H 'accept: application/json' \
    -H 'Content-Type: application/json' \
    -d '{
    "user": "test", "feedback_id":"{feedback_id to be deleted}"}'