JSON_EXTRACT_PATH_TEXT equivalent in python?

Question

SQL has a very useful function called JSON_EXTRACT_PATH_TEXT, which allows to extract data from a json file just by providing the full json path.

What is the easiest way to achieve the same result in python?

I am particularly interested in pandas solutions: json_normalize and read_json do a good job when the json is not too complex, but they become very difficult to use when the json has multiple nested structures.

Answer 1

I'm not familiar with anything that does this out of the box, but it is fairly simple to do. try something like this:

from functools import reduce


class JsonPath:
    @classmethod
    def get(cls, data, path):
        return reduce(cls._get_item, path, data)

    @classmethod
    def _get_item(cls, current_data, current_path):
        return current_data.__getitem__(current_path)

now lets assume your parsed json (use the json built-in) look like this

d = {"a": {"b": [1, 2]}}

and your datapath is an iterable of keys/indices looking like this:

data_path = ["a", "b", 1]

you can then do:

JsonPath.get(d, data_path)

and it will return 2