Palantir Forge: Enhancing Column Values with Typescript Functions

I am seeking assistance with a TypeScript function related to ontology objects. I want to develop a TypeScript program that accepts a dataframe as input. The objective is to nullify the values in other columns when a value from a row in a particular column is removed.

Below is an example of a dataframe:

ID level responsible description
A12 level2 NG34Jean Sheet
B15 level5 NG90Elis Bellow
C67 level4 NG64Matire Clamp
H65 level3 NG45Louis Cubical
J90 level0 NG08Marie Blech
To illustrate, for the ID = B15, I wish to remove its level i.e. "level5", leading the values of "responsible" and "description" to be equal to "Null".

Moreover, for the ID = H65, I aim to eliminate its level i.e. "level3", resulting in the values of "responsible" and "description" being set to "Null".

Here is how the dataframe will look post these modifications:

ID level responsible description
A12 level2 NG34Jean Sheet
B15 No value null null
C67 level4 NG64Matire Clamp
H65 No value null null
J90 level0 NG08Marie Blech
@OntologyEditFunction()
    public async deletevaluetable(
        objectpart: ObjectPartsNew[],
        ID?: string,
        level?: string,
        responsible?: string,
        description?: string,
    ): Promise<void> {
        function deletevaluetable()  {
            var manual;
            for (var i = 0; i < objectpart.length; i++) {
                manual=objectpart[i];
                var updates = 0;
                const properties_dict: manualUpdate = {
                    "manual": ID, 
                };
                .....
            }   
        }
    }

Answer â„–1

It seems there may be some confusion in your understanding of concepts here. Editing the ontology is not a task for Spark jobs as it involves manipulating individual objects within a real-time search and indexing system, rather than working with dataframes. Can you share the code that handles these changes? My suspicion is that you might be replacing the previous entity with a new one containing fewer columns.

For example:

   manual=objectpart[i];
   var updates = 0;
   const properties_dict: manualUpdate = {
       "manual": ID, 
   };

You might actually want something like this instead:

   const editedObjectProperties: ObjectPartsNew = {
       ID: ID, 
       level: "No value",
       responsible: objectpart[i].responsible,
       description: objectpart[i].description
   };

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