Pydantic Convert To Jsonable Dict (not Full Json String)

I'd like to use pydantic for handling data (bidirectionally) between an api and datastore due to it's nice support for several types I care about that are not natively json-seriali

Solution 1:

The current version of pydantic does not support creating jsonable dict straightforwardly. But you can use the following trick:

class Model(BaseModel):
    the_id: UUID = Field(default_factory=uuid4)

print(json.loads(Model().json()))

{'the_id': '4c94e7bc-78fe-48ea-8c3b-83c180437774'}

Or more efficiently by means of orjson

orjson.loads(Model().json())

Solution 2:

it appears this functionality has been proposed, and (may be) favored by pydantic's author samuel colvin, as https://github.com/samuelcolvin/pydantic/issues/951#issuecomment-552463606

which proposes adding a simplify parameter to Model.dict() to output jsonalbe data.

This code runs in a production api layer, and is exersized such that we can't use the one-line workaround suggested (just doing a full serialize (.json()) + full deserialize). We implemented a custom function to do this, descending the result of .dict() and converting types to jsonable - hopefully the above proposed functionality is added to pydantic in the future.

Solution 3:

Another alternative is to use the jsonable_encoder method from fastapi if you're using that already: https://fastapi.tiangolo.com/tutorial/encoder/

The code seems pretty self-contained so you could copy paste it if the license allows it.