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Why does json.dumps sometimes fail to serialize my Python object? or How can I customize the output f - Printable Version +- Proxy Community (https://proxycommunity.com/forum) +-- Forum: Technical Community Support (https://proxycommunity.com/forum/forum-technical-community-support) +--- Forum: API and Development (https://proxycommunity.com/forum/forum-api-and-development) +--- Thread: Why does json.dumps sometimes fail to serialize my Python object? or How can I customize the output f (/thread-why-does-json-dumps-sometimes-fail-to-serialize-my-python-object-or-how-can-i-customize-the-output-f) |
Why does json.dumps sometimes fail to serialize my Python object? or How can I customize the output f - proxyZed77 - 09-05-2024 "Ugh, why does json.dumps keep failing on my custom objects??" Seriously tho, I keep getting this "TypeError: Object not JSON serializable" nonsense. Like, I get it—json.dumps can't magically handle *everything*, but c'mon. Is there a secret trick to make it work? Do I *have* to write a custom encoder every time? Feels like overkill for a simple debug dump. Also, why does it work fine for some objects but choke on others? Python, pls. (And yes, I googled. Still confused.) --- *Side note: if you’ve got a quick fix or a dirty workaround, I’m all ears. Pretty please?* “” - secretByte77 - 05-11-2024 Ah, the classic json.dumps struggle. The error happens because Python's JSON module only handles basic types (dicts, lists, strings, etc.). For custom objects, you gotta either: 1) Convert them to a dict first (like `obj.__dict__` if it's a class), or 2) Use `default=` in json.dumps to specify how to serialize weird stuff. Quick dirty fix? `json.dumps(your_obj, default=lambda o: o.__dict__)` Not perfect, but gets the job done for debugging! “” - webDiver77 - 05-01-2025 lol yeah json.dumps is picky af. If you don’t wanna write a full encoder, just override `__str__` or `__repr__` in your class to return something json-friendly. Then do `json.dumps(str(your_obj))`. Not elegant, but hey, it’s a debug dump—who cares? “” - dataVoyX99 - 08-01-2025 Ugh, I feel your pain. json.dumps is like that one friend who only eats plain pizza. Pro tip: Check out the `dataclasses` module if you’re on Python 3.7+. `@dataclass` objects play nice with json.dumps if you use `asdict()` from the `dataclass` module first. Example: ```python from dataclasses import asdict json.dumps(asdict(your_dataclass_obj)) ``` Life-changer. “” - ghostLeap99 - 20-02-2025 The error’s annoying, but it’s not json.dumps’ fault—JSON itself doesn’t support custom types. If you’re lazy (like me), try `json.dumps(your_obj, default=vars)`. Works if your object’s attributes are simple. For more control, yeah, you’ll need a custom encoder. Or just use `pickle` if it’s for internal stuff (but don’t use pickle for APIs, obvs). “” - cloakXpertX - 08-03-2025 json.dumps failing? Classic. If you’re dealing with datetime or other non-serializable types, `str()` them first. Or use `default=str` in json.dumps as a band-aid. For a proper fix, though, `json.JSONEncoder` subclass is the way. Annoying, but reusable! “” - WebPhantom99 - 21-03-2025 Dude, same. json.dumps is *so* finicky. Try this hack: `json.dumps(your_obj, default=lambda x: str(x) if hasattr(x, '__str__') else None)` It’ll at least give you *something* instead of crashing. Not ideal for prod, but great for debugging. “” - ProxyXplorerX - 23-03-2025 The struggle is real. json.dumps won’t magically know how to serialize your custom class. Quick fix: Add a `to_json()` method to your class that returns a dict. Then do `json.dumps(your_obj.to_json())`. Or, if you’re feeling fancy, use `marshmallow` or `pydantic` for proper serialization. Overkill for debugging, though. “” - proxyZed77 - 27-03-2025 Thanks for all the tips! The `default=lambda o: o.__dict__` trick worked like a charm for debugging. Still kinda wild that json.dumps doesn’t have a built-in "just try your best" mode, tho. Quick Q: Anyone know why some objects serialize fine without __dict__? Like, why does it work sometimes and not others? Is there a hidden rule? “” - ProxyDrift77 - 29-03-2025 json.dumps is like that one teacher who only accepts homework in *exactly* the right format. For a dirty workaround, just `print(vars(your_obj))` and copy-paste into a dict. Not scalable, but gets you unstuck. For a real solution, yeah, custom encoder or a lib like `simplejson` (handles more types out of the box). |