The development intention of this framework is to provide the ability to develop industrial applications where processes need to be executed concurrently and field data need to be managed for monitoring, control, and supervision applications.

In the image above, you can generally see the architecture and interaction of the different modules that make up the framework.

For this, state machines are available that run in the background and concurrently to acquire data by query (DAQ), Acquire Data by Exception (DAS) and any other general purpose state machine.

It has a memory persistence module for real-time variables that we call (CVT, Current Value Table).

There is also an alarm management system

And finally, the disk persistence of the variables to provide functionalities for historical trends of the field variables.

python3 -m venv venv
. venv/bin/activate

pip install --upgrade pip
pip install -r requirements.txt

python run.py

or

./docker-entrypoint.sh

pip install wheel

Execute this code where is setup.py file

python3 setup.py bdist_wheel

This create some folders

• build
• dist
• PyAutomation.egg-info

Located into "dist" folder

pip install dist/PyAutomation-1.0.0-py3-none-any.whl

After that, you can run mkdocs serve

Make the following .env file:

REACT_VERSION=18.2.0
PORT=5000

Export environment variables

export $(grep -v '^#' .env | xargs)

Start the app

sudo docker run -d \
  --name PyAutomation \
  -p ${PORT}:${PORT}\
  -v $(pwd)/temp/db:/app/db \
  -v $(pwd)/temp/logs:/app/logs \
  -e PORT=${PORT} \
  -e REACT_VERSION=${REACT_VERSION} \
  knowai/automation:1.0.0

If you want to deploy it using docker compose, make the following docker-compose.yml file:

version: '3.3'

services:

  automation:
    container_name: "PyAutomation"
    image: "knowai/automation:1.0.0"
    restart: always
    ports:
      - ${PORT}:${PORT}
    volumes:
      - ./temp/db:/app/db
      - ./temp/logs:/app/logs
    environment:
      PORT: ${PORT}
      OPCUA_SERVER_PORT: ${OPCUA_SERVER_PORT}
    healthcheck:
      test: ["CMD-SHELL", "curl --fail -s -k http://0.0.0.0:${PORT}/api/healthcheck/ || curl --fail -s -k https://0.0.0.0:${PORT}/api/healthcheck/ || exit 1"]
      interval: 15s
      timeout: 10s
      retries: 3

Start the docker compose file

sudo docker-compose --env-file .env up -d

Go to http://host:${PORT} to view the config page