Filtering and remapping nested array fields


I am making a scenario where I forward invoices from one platform to another. I first retrieve a list of relevant invoices from the source platform. I use an iterator to process each invoice individually. The data looks something like this:

	"customerId": 565612,
	"items": [
			"description": "Laptop",
			"price": 5000,
			"type": "UNITS"
			"description": "Consultation",
			"price": 890,
			"type": "HOURS"

Now, the target platform uses essentially the same data structure, but different field names. So description needs to be details instead. Additionally, I need to filter the items to remove entries of certain types. Something like this:

newItems = [ ]
for item in invoice.items {
	if item.type != 'HOURS' {
			details: item.description,
			price: item.price,
			type: item.type
invoice.items = newItems

Which modules can I use to accomplish this?

I believe you could use a Parse JSON, then use an Aggregate to JSON to put it back together in JSON with your desired structure. You will need to define a custom data structure, but if you have example output you could use the schema generator to create that automatically then adjust as needed.


I should mention both the source and target data structures are fully typed, so I do not necessarily need to deal with JSON. Don’t know if that changes anything.

I tried doing this:

Get invoice list → Iterate invoices → Iterate invoice rows → Filter invoice row → Aggregate invoice rows (maps rows to target data structure) → Submit invoice

but if I understand correctly, the last step actually receives individual invoice rows. Will JSON aggregration not produce similar results, or have I misunderstood you?

Just to reiterate, in my mind I want to do something like iterate the invoices → iterate and manipulate the invoice rows → merge them back into the invoice → submit invoice to target module.

Sorry I didn’t see this reply.
Please see attached Blueprint for an example of how you can remap and filter your source JSON.

Here’s how it starts:

We parse your source JSON, iterate the Items array, filter only those with type HOURS, then aggregate back into a new JSON which is essentially the same thing except we use “details” instead of “description” for one of the keys.
I am not so sure the output format is correct, but I think you get the idea.
filtering hours and remapping nested array fields.json (7.9 KB)

And the result: