Title: Python json.dumps embedded object - Why isn't my nested data serializing correctly?
Hey folks,
Struggling hard with Python json.dumps embedded object serialization here. Got this nested dict with custom objects, and json.dumps just *refuses* to play nice.
Keep hitting *"TypeError: Object not JSON serializable"* like, bruh, I get it, but how do I fix it?
Tried default=str, but that feels hacky.
Any tips for handling complex embedded objects without tearing my hair out?
Thanks in advance!
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(Or if you prefer a diff title, lmk!)
Ah, the classic Python json.dumps embedded object struggle! Been there.
The issue is that json.dumps doesn't know how to handle custom objects by default. You could try defining a `default` method in your object's class to return a dict representation.
Or, if you're lazy (like me), check out the `jsonpickle` library—it serializes almost anything, including nested stuff.
Yo, had the same headache last week.
`default=str` works but yeah, it's kinda hacky. Instead, try implementing `__dict__` in your custom objects or use `vars(your_object)` to convert them to dicts first.
Also, `simplejson` handles some edge cases better than the stdlib json module. Might be worth a shot!
For Python json.dumps embedded object issues, you gotta teach it how to serialize your stuff.
Either:
- Add a `to_json()` method to your objects that returns a dict.
- Or use a lambda in `default=` to handle custom types.
Like:
```python
json.dumps(your_data, default=lambda x: x.__dict__ if hasattr(x, '__dict__') else str(x))
```
Not perfect, but cleaner than `default=str`.
Ugh, nested serialization is the worst.
If your objects are simple, `__dict__` works. For more control, try `dataclasses` + `dataclasses.asdict()`.
Or, if you're dealing with SQLAlchemy or similar, `marshmallow` is a lifesaver for complex Python json.dumps embedded object cases.
Pro tip: `json.JSONEncoder` subclassing!
Override the `default` method to handle your custom objects properly. Way cleaner than hacking it with `default=str`.
```python
class CustomEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, YourCustomClass):
return obj.__dict__
return super().default(obj)
json.dumps(your_data, cls=CustomEncoder)
```
Thanks for all the suggestions, folks!
Tried the `json.JSONEncoder` subclass and it worked like a charm for most cases. Still running into issues with some datetime objects, though—anyone know if `orjson` handles those better?
Also, `jsonpickle` looks wild, gonna test that next. Appreciate the help!
Been down this rabbit hole too.
If you're using Pydantic models, they have built-in `.json()` methods that Just Work™.
Otherwise, `orjson` (fast + handles datetimes natively) or `json_tricks` might save you some pain with Python json.dumps embedded object woes.
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