FlowX.AI Scheduler

The service offers the possibility to schedule a message that you only need to process after a configured time period.

It can be quickly deployed on the chosen infrastructure and then connected to the FLOWX.AI Engine through Kafka events.

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Using the scheduler

After deploying the scheduler service in your infrastructure, you can start using it to schedule messages that you need to process at a later time.

One such example would be to use the scheduler service to expire processes that were started but haven’t been finished.

When a process is scheduled to expire, the engine sends the following message to the scheduler service (on the topic KAFKA_TOPIC_SCHEDULE_IN_SET):

{
  "applicationName": "onboarding",
  "applicationId": "04f82408-ee66-4c68-8162-b693b06bba00",
  "payload": {
    "scheduledEventType": "EXPIRE_PROCESS",
    "processInstanceUuid": "04f82408-ee66-4c68-8162-b693b06bba00"
  },
  "scheduledTime": 1621412209.353327,
  "responseTopicName": "ai.flowx.process.expire.staging"
}

The scheduled time should be defined as java.time.Instant.

At the scheduled time, the payload will be sent back to the response topic defined in the message, like so:

{
  "scheduledEventType": "EXPIRE_PROCESS",
  "processInstanceUuid": "04f82408-ee66-4c68-8162-b693b06bba00"
}

If you don’t need the scheduled message anymore, you can discard it by sending the following message (on the topic KAFKA_TOPIC_SCHEDULE_IN_STOP)

{
  "applicationName": "onboarding",
  "applicationId": "04f82408-ee66-4c68-8162-b693b06bba00"
}

These fields, applicationName and applicationId are used to uniquely identify a scheduled message.