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Alert service

Sends alerts to an output topic when the temperature is under or over the threshold.

It receives data from two topics (3d printer data and forecast) and triggers an alert (to output topic alerts) if the temperature is under or over the threshold.

pipeline section

The default thresholds are as shown in the following table:

Variable Default value (degrees C)
min_ambient_temperature 45
max_ambient_temperature 55
min_bed_temperature 105
max_bed_temperature 115
min_hotend_temperature 245
max_hotend_temperature 255

These thresholds are used to determine if the temperature, or forecast temperature, are under or over the threshold values. If so these alerts are published to the json-alerts topic.

Note there are different alert types, with the message format for the no-alert type alert:

{
  "status": "no-alert",
  "parameter_name": "hotend_temperature",
  "message": "'Hotend temperature' is within normal parameters",
  "timestamp": 1701280033000000000,
  "alert_temperature": 246.04148121958596
}

An example of the under-now alert message format:

{
  "status": "under-now",
  "parameter_name": "bed_temperature",
  "timestamp": 1701273328000000000,
  "alert_temperature": 104.0852349596566,
  "message": "'Bed temperature' is under the threshold (105ยบC)"
}

Here's an over-forecast alert message format:

{
  "status": "over-forecast",
  "parameter_name": "forecast_fluctuated_ambient_temperature",
  "alert_temperature": 55.014602460947586,
  "timestamp": 1701278280000000000,
  "message": "'Ambient temperature' is forecasted to go over 55ยบC in 1:36:29."
}

Here's the under-forecast alert message format:

{
  "status": "under-forecast",
  "parameter_name": "forecast_fluctuated_ambient_temperature",
  "alert_temperature": 44.98135836928914,
  "timestamp": 1701277320000000000,
  "message": "'Ambient temperature' is forecasted to fall below 45ยบC in 1:20:28."
}

Check the log messages

It can be very useful to check the logs for a service. To do this from the pipeline view:

  1. Click on Alert Service in the pipeline view.

  2. Click the Logs tab.

You can now view the log messages:

Log messages

View the message format

You can also view the actual messages being transferred through the service:

  1. Click the Messages tab.

  2. You can now select either the input or oputput topic as required from the topic drop down:

    Topic drop down

  3. You can now explore the messages. Click on a message to display it:

    Message format

Make sure you click the Live tab to continue viewing live messages.

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Part 6 - InfluxDB raw data service