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aiogram international

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29 August 2026
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Laxan3000?
Is 0.001 slow for you? Do your users notice such a small difference in time? Database and Telegram Bot API latency matters, not serialization time, pay attention to your database and network. You are measuring class initialization + simple validation this is not even a pydantic problem (mostly), it's just how Python works. Change pydantic to dataclasses with manual deserialization - you will see the same or worse result. Conversely, without using serialization models (their removal) significantly increases complexity and reduces usability for framework users (bot developers).
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ReplyIs 0.001 slow for you? Do your users notice such a small difference in time? Database and Telegram Bot API latency matters, not serialization time, pay attention to your database and network. You are measuring class initialization + simple validation this is not even a pydantic problem (mostly), it
I didn't mean necessarily the speed time, it's just that declaring a lot of classes stacks on both ram and wastes time (+ the base class for all these methods for some reason doesn't have an init class, not the type variable needed, so I can't even use a single class for all of them and define the type myself...) and I can't even input a regular dictionary, which is what telegram would accept if those classes were EnumDict of TypedDict instead it would fix that ig?
30 August 2026
В
Laxan3000I didn't mean necessarily the speed time, it's just that declaring a lot of classes stacks on both ram and wastes time (+ the base class for all these methods for some reason doesn't have an init class, not the type variable needed, so I can't even use a single class for all of them and define the t
Yeah, TypedDict would let you pass plain dicts and skip the class overhead. EnumDict is less standard though — maybe just TypedDict plus a small helper if you need validation. Definitely lighter on RAM and less boilerplate.
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