alexcreasy / trustyai-console

Web console for TrustyAI Explainability Service.

trustyai-console

Web console for TrustyAI Explainability Service.

Running the container

Set the address of the TrustyAI and Grafana services by setting the environment variables TRUSTYAI_URL and GRAFANA_URL as below:

 docker run --rm -p 8081:8080 -e TRUSTYAI_URL=http://localhost:8080 -e GRAFANA_URL=http://grafana:3000 trustyai-console

The console will then be available at: http://localhost:8989

Docker compose example

services:
  trustyai:
    image: quay.io/rgeada/trustyai-service:grafana-demo
    container_name: trustyai-service
    ports:
      - "8080:8080"
    environment:
      SERVICE_STORAGE_FORMAT: "MEMORY"
      SERVICE_DATA_FORMAT: "CSV"
      SERVICE_METRICS_SCHEDULE: "5s"
      SERVICE_BATCH_SIZE: 5000
      STORAGE_DATA_FILENAME: "data.csv"
      STORAGE_DATA_FOLDER: "/inputs"
      LOG_LEVEL: "DEBUG"
    volumes:
      - ~/volumes/pvc/inputs:/inputs
  trustyai-console:
    image: quay.io/acreasy/trustyai-console:grafana
    container_name: trustyai-console
    ports:
      - 8081:8080
    environment:
      TRUSTYAI_URL: http://trustyai:8080
      GRAFANA_URL: http://grafana:3000
  prometheus:
    image: prom/prometheus
    container_name: prometheus
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
    ports:
      - 9090:9090
    restart: unless-stopped
    volumes:
      - ./prometheus:/etc/prometheus
      - prom_data:/prometheus
  grafana:
    image: grafana/grafana
    container_name: grafana
    ports:
      - 3000:3000
    restart: unless-stopped
    environment:
      GF_SECURITY_ADMIN_USER: admin
      GF_SECURITY_ADMIN_PASSWORD: admin
      GF_AUTH_ANONYMOUS_ENABLED: true
      GF_SECURITY_ALLOW_EMBEDDING: true
      GF_SERVER_ROOT_URL: http://trustyai-console:8080/grafana/
      GF_SERVER_SERVE_FROM_SUB_PATH: true
    volumes:
      - ./grafana/datasource.yml:/etc/grafana/provisioning/datasources/datasource.yml
      - ./grafana/dashboard.yaml:/etc/grafana/provisioning/dashboards/main.yaml
      - ./grafana/dashboards:/var/lib/grafana/dashboards
  generator-1:
    container_name: generator-1
    image: trustyai/trustyai-service-partial
    build:
      context: ./logger
      dockerfile: ./partial.Dockerfile
    environment:
      MODEL_NAME: "example-model-1"
      SERVICE_ENDPOINT: "http://trustyai:8080/consumer/kserve/v2"
      PYTHONUNBUFFERED: "1"
  generator-2:
    container_name: generator-2
    image: trustyai/trustyai-service-partial
    build:
      context: ./logger
      dockerfile: ./partial.Dockerfile
    environment:
      MODEL_NAME: "example-model-2"
      SERVICE_ENDPOINT: "http://trustyai:8080/consumer/kserve/v2"
      PYTHONUNBUFFERED: "1"

volumes:
  prom_data:

Run docker compose up -d and open the console at: http://localhost:8989

Running the demo

From the demo directory run:

docker compose build
docker compose up -d
./add-requests.sh   

Open a browser and point it at http://localhost:8081

trustyai-console's Issues

Add grafana integration for chart display

Add time range and refresh controls to charts page

Add drop-downs so the user can control the time frame and refresh intervals of the chart data

Add multi-model support for charts page

The charts page should filter visible charts based on the selected model, like the metrics page does.

Add tests

• Tests were removed as part of the dependencies upgrade due to Enzyme being incompatible with React 18. Tests need to be re-added using RTL and Storybook.

Display data from multiple models

Give the user the ability to create metrics requests

Add button to delete scheduled metrics on metrics page

As a user I want to be able to delete individual scheduled metrics from the scheduled metrics page. This should take the form of an action button on each row.

Upgrade dependencies

Upgrade all dependencies, specifically:

• PatternFly 5
• React 18

Add action for building / publishing docker images