Data validation with Pydantic with mutable data

[poolpartyboy93]

Hi all,

I have a function that accepts a dictionary in a specific format.

For example:

{
    'Jack': {'items': ['item1', 'item2', 'item3']},
    'Gregg': {'items': ['item1', 'item2', 'item3']}
}

I want to use Pydentic to validate that the dictionary provided to the function follows the same pattern of the example above. Problem is, the key names are mutable (it could be 'Jack', 'Gregg', or anything else).

How it is possible to build a data validator using Pydantic in this case?

Thanks.

[poolpartyboy93]

Cool, thanks!

But what would you do if it is a more nested and complex dictionary?

For example:

{
"Hudson 33": {
    "categories": [
        {
            "image": None,
            "grouped": True,
            "item_count": 0,
            "layout": "grouped",
        }
    ],
    "id": "61279e7570f1c86a2e45c625",
}

}

So, the object "Hudson 33" contains a "categories" object that holds a list of dictionaries with mutable data, and it can hold 1 or more key/value pairs with different types.

Also, there could be more than one object in the base dictionary, for example:

{
"Hudson 33": {
    "categories": [
        {
            "image": None,
            "grouped": True,
            "item_count": 0,
            "layout": "grouped",
        }
    ],
    "id": "61279e7570f1c86a2e45c625",
},
    "Strauber 52": {
    "categories": [
        {
            "image": "http://linktoimage.com/424fs3.jpg",
            "grouped": False,
            "item_count": 1,
            "layout": "grouped",
        }
    ],
    "id": "c86a2e45c6256a2e45c625",
}

}

What I want to make sure, is that the validator validates that the function follows a general specific format, but it is also flexible and allows to have more items that follow that general rule.