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Examples

Here are a few examples of calculation properties use cases:

Basic calculation property​

In the following example, we will create a calculation property called MBMemory of type number, and then transform it into a GB unit:


"properties":{
    "MBMemory":{
        "type": "number"
    },
},
"calculationProperties" : {
    "GBMemory": {
        "title": "GB Memory",
        "type": "number",
        "calculation": ".properties.MBMemory / 1024"
    }
}

In this instance, if you have a MBMemory string property with the value:

{
  "MBMemory": 2048
}

Then the GBMemory calculation property value will be:

{
  "GBMemory": 2
}

This is an example of how calculation properties can be used to perform math equations over data ingested into Port.

Concatenate strings​

Assume you have two string properties: one is called str1 with the value hello, the other is called str2 with the value world. The following calculation will result in hello world:

{
  "title": "Concatenate strings example",
  "type": "string",
  "calculation": ".properties.str1 + .properties.str2"
}
tip

If you want to provide your own string template to concatenate properties , wrap your template string with single quotes ('), such as 'https://' + .properties.str1'

Calculate array length​

Assume you have an array property called myArr with the value ["this", "is", "port"].

The following calculation will result in 3:

{
  "title": "Calculate array length",
  "type": "number",
  "calculation": ".properties.myArr | length"
}

Slice array​

Assume you have an array property called array1 with the value [1,2,3,4]. You can use the following slicing calculation to get the result [2,3,4]:

{
  "title": "Slice array example",
  "type": "string",
  "calculation": ".properties.array1[1:4]"
}

Merge objects​

Assume you have two object properties: one called deployed_config with the value {cpu: 200}, the other called service_config with the value {memory: 400}. You can merge these two object properties and receive a unified config by using the following calculation:

"calculationProperties" : {
    "merge_config": {
        "title": "Merge config",
        "type": "object",
        "calculation": ".properties.deployed_config * .properties.service_config",
    }
}

The result will be {cpu: 200, memory: 400}.

Object merging
  • Object merging performs a deep merge, resulting in nested keys from the original objects appearing in the resulting merged object.
  • If the same key appears in one or more of the merged properties, the last property that appears will have its keys take precedence over the keys of properties that appeared earlier in the calculation.

For example, Let's assume we have 2 properties with type object, and we want to perform a deep merge between them:

{
  "obj1": {
    "cpu": 200
  },
  "obj2": {
    "cpu": 400
  }
}

If the calculation is ".properties.obj1 * .properties.obj2" , the result will be {cpu: 400},

If the calculation is ".properties.obj2 * .properties.obj1" , the result will be {cpu: 200},

For merging YAML properties, the merging behavior will be the same, but if you specify type: "string and format: "yaml", the result will be a YAML object.

If-else conditions​

Assume that your services use multiple packages, some written in Python and some written in Node.js.

By using an if-else JQ rule, you can specify a different URL for each package, based on its language:

"calculationProperties" : {
    "package_manager_url": {
        "title": "Package Link",
        "type": "string",
        "format": "url",
        "calculation": "if .properties.language == \"Python\" then \"https://pypi.org/project/\" + .identifier else \"https://www.npmjs.com/package/\" + .identifier end",
    }
}

For the following entity:

{
  "identifier": "requests",
  "properties": {
    "language": "Python"
  }
}

The result will be package_manager_url: "https://pypi.org/project/requests".

For the following entity:

{
  "identifier": "axios",
  "properties": {
    "language": "Nodejs"
  }
}

The result will be package_manager_url: "https://www.npmjs.com/package/axios".

Calculate K8S labels​

You can create a calculation property inside your Blueprint to display a specific tag. Looking at the Node Blueprint, you can find the following property:

"properties": {
      ...
      "labels": {
        "type": "object",
        "title": "Labels",
        "description": "Labels of the Node"
      },

And the labels object looks like:

{
  "kubernetes.io/metadata.name": "port-k8s-exporter",
  "name": "port-k8s-exporter"
}

To display the value of name, create a new calculation property within the same Blueprint. then use the following JQ calculation:

.properties.labels."name"

The result will be a property that displays port-k8s-exporter.

Calculate Cloud resource tags​

Assuming you have a property tags in your Blueprint, you can use JQ to display the value of a tag.

In Port's AWS exporter, you can find the following array:

"tags": [
      {
        "Value": "authentication-service",
        "Key": "server-application"
      },
      {
        "Value": "1a23-4bc5d-67efg-89k10",
        "Key": "applyId"
      },
      {
        "Value": "0.0.11",
        "Key": "server-version"
      }
    ]

To display a Value of applyId, create a new calculation property within the Blueprint of the entity, and use the following JQ calculation:

.properties.tags.[] | select(.Key=="applyId") | .Value

The result will be a property that will display 1a23-4bc5d-67efg-89k10.