Parsing JSON

The json.loads() function in Python takes a JSON string as input and constructs a Python object (dictionaries and lists) from the string. This allows us to work with the JSON as native Python objects!

import json

json_string = '{"title": "Avengers Endgame", "rating": 4.7, "in_theaters": false}'
obj: dict[str, str | float | bool] = json.loads(json_string)

print(obj["title"])
# Avengers Endgame

It's common for developers to write local tests using mock (or fake) data that looks like real data. Let's ensure that the JSON format the backend devs at Jello handed us is valid JSON! It would be a shame to write a bunch of code only to find out the format is wrong.

Complete parse_project function:

1. Use a try/except around json.loads(project_string).
2. If parsing succeeds, call print_project_obj with the parsed object.
3. If an exception is raised, print invalid json string.