# Flatten error constraints

So, last week I solved an easy problem but it was an interesting one! Uses of it applied in the world of frontend programming, and knowing how to solve such problems is quite valuable down the road when doing validation and processing-related tasks.

# Challenge Statement

The challenge statement is: given an array of error objects, we need to flatten its property constraints and transform them to a string array with the accurate property depth.

In a nutshell, this is what we need to solve: -

And transform the above errors to this: -

A part of the challenge is to solve this using JavaScript. But we will utilize
`TypeScript`

to write our solution in the upcoming sections.

# Elaboration

Well, it seems like a piece of cake, right? We can solve this quickly if we take a minute or two to understand its schematic structure correctly.

And if we transform this into more approachable static sorts we would get the following types.

Looking at the challenge statement example, we can see that not all Error objects contain
the `children`

property. Hence, we should understand that one or more depths will have zero
`constraints`

or `children`

to flatten. Therefore, we can safely **ignore** such results from
the transformed object.

We can break down the problem into multiple steps to further simplify our approach. From my interpretation, we have four main tasks to focus on; and those are: -

- Extract the string values from the
`constraints`

object. - Concatenate the children's
`property`

path along with depth. - Go through all the
`children`

errors. - Assign
`constraints`

to the path (if there are any).

So how can we crack this?

# Solution

We have to use either an iterative or a recursive to solve this problem. First, we can directly
jump in and focus on the **1 ^{st} step**, extracting the values from the constraints object.

We can write a helper function that accepts a given `constraints`

object and return its
extracted strings.

Then we can focus on **2 ^{nd} step**, concatenating the children's property
path along with depth.

Then the **3 ^{rd} step**, going through all the

`children`

errors. But
before that, we need another top-level helper function to compose the algorithm.I will name it `transformError`

with two parameters in place. The first parameter is an individual
error itself and the second is our transformation result object.

Then we should first see whether there are any `children`

available in this error object because
remember, it can be optional.

So now, if the error has children then we should go through its `children`

to recursively
extract all their `constraints`

.

This is great! Now that we are only left with the **4 ^{th} step**, and we can
easily append the

`extractConstaints`

at last.We consolidate the last three points into a single function called `transformError`

because they are recurring
tasks. By doing this, we should be able to iterate through all the errors and recurse all
the children accurately.

And finally, putting it all together, we get this: -

See? `formatErrors`

function is the starting point of our algorithm. We iterate through all the
errors we get as the input and calls the `transformError`

with the `result`

instance to hold the
flattened records.

# Time Complexity

The analysis of the time complexities of this algorithm is quite straightforward. Since we use a recursive approach we can directly apply the master theorem to get the asymptotic estimates.

Well, that's it folks! Thanks for reading.

# Well, now what?

You can navigate to more writings from here. Connect with me on LinkedIn for a chat.

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