I am working with a deeply nested json object that looks like the following:
[
{
"categoryId": "1",
"subcategories": [
{
"categoryId": "2",
"subcategories": [
{
"categoryId": "3",
"subcategories": [
{
"categoryId": "4"
},
{
"categoryId": "5"
}
]
},
{
"categoryId": "6"
}
]
}
]
},
{
// another category object
}
]
Keep in mind, not all categories have subcategories - some are two levels deep while others may be three levels deep.
My goal is to traverse the entire structure and retrieve all the categoryIds within it (order does not matter).
The desired output should look something like this: 1,2,3,4,5,6
I attempted to write a one-liner for this task:
json.map(a => a.subCategories.map(b => b.subCategories ? b.subCategories.map(c => c.subCategories ? c.subCategories.map(d => d.categoryId) : c.categoryId) : b.categoryId)).join()However, this code snippet does not include the categoryIds from the top-level categories. I also tried implementing reduce but without success. Can you assist me in fixing this issue? Thank you.