Introduction

This section describes how to run the Process Manager as a Docker container.

Steps to Run Process Manager

1. Create a Docker network so the containers can communicate:

    docker network create prizmdoc
   
   

2. Run MySQL Server:

    docker run --name=mysql --detach --rm --network prizmdoc --publish 3306:3306 --env MYSQL_LOG_CONSOLE="TRUE" --env MYSQL_DATABASE=ProcessManager --env MYSQL_ROOT_PASSWORD=root mysql:8.0 --max_allowed_packet=100M --general_log=1 --general_log_file=/var/lib/mysql/mysql.log --innodb_use_native_aio=0
   
   

3. Run PrizmDoc Server (NOTE: PrizmDoc Server version must be 13.25 or later.):

    docker run --rm --env ACCEPT_EULA=YES --network prizmdoc --publish 18681:18681 --name prizmdoc-server accusoft/prizmdoc-server
   
   

   Wait until you see the following output in the console:

    [info] Starting Product Runner...
    [info] product-runner has been started correctly.
    [info] Starting PCCIS Watchdog process...
    [info] PCCIS Watchdog has been started correctly.
   
   

4. Run the Process Manager:

    docker run --name=process-manager --rm --network prizmdoc --publish 3000:3000 --publish 3001:3001 --env LOG_LEVEL=info --env "DATABASE_CONNECTION_STRING=mysql://root:root@mysql:3306/ProcessManager" --env "PRIZMDOC_SERVER_URL=http://prizmdoc-server:18681" --env ACCEPT_EULA=YES accusoft/process-manager
   
   

   Wait until you see something like this in the console:

    {"level":30,"time":"2023-06-20T04:23:29.218Z","id":"2","gid":"hZXJxwIsH8dbmIu4n3XcrA","type":"initialization","end":true,"duration":408,"parent":{"taskId":"1"},"annotations":{"progress":"initialization is complete"}}
   
   

5. The Process Manager is ready to accept requests. You can check its readiness by navigating your browser to the internal API <http://localhost:3001/readiness>. You should see an "OK" response.

Stopping

To stop the running Docker containers, use the following commands in the terminal:

    docker stop process-manager
    docker stop prizmdoc-server
    docker stop mysql