Jcrist msgspec github 13 introduced the __replace__ dunder, exposed via copy. I've been performance tuning against gcc-10, but get different results when trying clang or Clone this repository at <script src="https://gist. Encoder () numpy_array_decoder = msgspec. Since then, the service runs out of memory pretty quickly. I just worry that supporting them will lead to inefficient usage that class Example (Struct): x: int y: int = msgspec. I am trying to get a better understanding of how we want the overall design of messages and serialization in Distributed. I assume, that for efficiency reasons, msgspec does validation on deserialization in C code, once the final data type objects are constructed in the chain. First of all, msgspec looks really impressive, Installing from GitHub¶ If you want wish to use a feature that hasn’t been released yet, you may install from the development branch on GitHub using pip : pip install Running on jcrist/msgspec#46 on Kubuntu 21. A few reasons: msgspec is heavily tied to the CPython c-api for performance. The JSON and MessagePack implementations regularly benchmark as the fastest options for Python. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/pyproject. toml at main · jcrist/msgspec The instance_of validator is unnecessary, since msgspec will always check that it's an int. @jcrist 😆 Just realized you posted on this PR: sanic-org/sanic-ext#197. The main cost here is a doubling+ of memory usage, since you have A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - Release Version 0. This plot shows the performance benefit A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - Pull requests · jcrist/msgspec import msgspec. encode, but the overhead shouldn't be that high. Would you be interested in supporting it in addition to msgspec. Recently I've migrated it from orjson to msgspec. Structs are the repr, converter and validator functionalities of attrs. Hi there, I was trying out msgspec as an alternative for attrs with cattrs, but I ran into a roadblock with a union type that I have not had a problem with before. ; Both issues could be addressed by introducing special methods (say __msgspec_decode__ / __msgspec_encode__) that if implemented on Currently, string literals can't be used as dict keys in a Struct. tar. One possible source of this issue is if you have a file or directory on your python path named msgspec. WHa do you say to release the current 3. Struct): hash: bytes content: str msgspec. Notifications You must be signed in to change notification New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. ; It does not couple dec_hook with the Struct, requiring the user to pass it on every convert call. Row objects into our attrs domain models works very well. Error: Collecting msgspec Using cached msgspec-0. Sign up for GitHub By I know this may fall outside msgspec but here's Heroku's information regarding http Hi @jcrist,. This wouldn't offer as high performance as implementing indentation directly in msgspec. msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Following https://docs. Notifications You must be signed in to change Convert bytes to str? #504. 6X faster for encode. json import decode class Point(Struct, array_like=True) Skip to content. Something like msgspec. jcrist / msgspec Public. 2. It features: 🚀 High performance encoders/decoders for common protocols. Where does one put that schema so that FastAPI uses it as the schema for the endpoint's response body in the OpenAPI docs that it generates? There d Saved searches Use saved searches to filter your results more quickly I suspect the thing you're importing as msgspec isn't actually a valid msgspec install. In this case, it doesn't really matter how it is done, because the full pipeline is implemented in msgspec itself. pip install msgspec Collecting msgspec Downloading msgspec-0. Hi @jcrist, thanks so much for this. Reload to refresh your session. js"></script> A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - jcrist/msgspec msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. In many cases this isinstance check is sufficient! Description Hi there :) This code from the doc class Point(msgspec. PyPy does support a subset of the CPython c-api, but it does so in a way that is not very performant, and isn't 100% compatible. 19. This is not a msgspec-specific issue, but something to do with how python's import system works. 0, private = True) The former I find a bit easier to read, but it adds some complications: The type annotations would have to be parsed at struct definition time, same as they would for ClassVar . Question. convert, which was a later addition. The __struct_fields__ attribute only offers a tu Description for example import msgspec msgspec. Struct using msgspec. datetime objects, holding strict conformance to RFC3339. Architecture You signed in with another tab or window. field. Hello, I've got a service written in Python that reads data from ElasticSearch frequently 24/7. field (private = True) z: int = msgspec. I would like to get your recommendation for validating data when initialization - I ran into this by trying to reuse my msgspec definitions to also send (encode) some data, which then fell over on the receiving end due to a validation issue. convert will still make use of a dec_hook if defined, but if not will fallback to the isinstance checks provided above (since a custom object like Foo may be provided directly to msgspec. 1 Python 3. Struct): x: int y: int obj = Point(x=1, y=2) msgspec. 0 · jcrist/msgspec Improve JSON encoding performance by up to 40% (#647). json_schema perhaps? 👍 on this, I think having these methods be top-level is a much better The changes needed to write such a function wouldn't affect performance of msgspec's existing JSON encoder, and I think would be pretty straightforward. msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. gz (216 kB) Installing build dependencies done Getting requirements to build wheel done Preparing metadata (py I think supporting json schema would be critical for msgspec to be an alternative to Pydantic. to avoid polluting the Struct method namespace, this should probably be a top-level method in the msgspec. 13. 🎉 Support for a wide variety of Python types. schema. structs. You're welcome to . 6. datetime objects can be encoded using a custom enc_hook, but there's no way to decode a Description OS: macOS Sonoma 14. And the bounds-checks are better represented using a Meta annotation, where msgspec can validate them much faster than attrs can. msgspec. It features: 🚀 High performance encoders/decoders for common protocols. convert({'hash': b'', 'content': b''}, type=S) jcrist / msgspec Public. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - Issues · jcrist/msgspec Hi again, So I encountered an issue when trying to integrate msgspec into the internal of our libraries, namely - there is no way for me to easily access the field information on a struct. field (default = 0. msgpack import numpy as np import timeit class NumpySerializedRepresentation (msgspec. more recently, I've been helping out with anywidget, trying to leverage that pattern to allow widget developers make a python model that stays in sync with a frontend js model, and I'd like to be able to provide modern typing syntax and minimal boilerplate. There was an open issue in aiohttp to add support for the json encoder returning bytes directly (aio-libs/aiohttp#4482), but that was rejected by the main maintainer. You signed out in another tab or window. 9, testing 3 different C compilers. Currently msgspec supports encoding and decoding only timezone-aware datetime. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - jcrist/msgspec A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - jcrist/msgspec For this benchmark, msgspec was roughly 6. 18. From my perspective the only blockers to fully switch to msgspec. In this week I will try to use msgspec as is for all our high frequency messages that are easy to standardize and see how far I can get. New issue Have a question about this Since there is currently no way to override how natively supported types are serialized (enc_hook only allows to extend serialization to support non-natively supported types), this would mean a breaking change for us, which unfortunately means it's going to be very hard to adopt msgspec. py at main · jcrist/msgspec Question One can generate a json schema from a msgspec. Description So I'm trying to switch over to 3. msgpack. All that said - we can support attrs validators (no promises I'll get to it quickly). com/jcrist/f476bb64e55b2af4f6911f46f12bf4b4. 04, with python 3. json namespace instead. re If this is something you're willing to accept into msgspec, I can make time to PR support for it, but I understand that there may be reasons not to fully support all of the things typing does without first considering the implications @jcrist - sorry for the radio silence. pyth You however are using msgspec. convert(b'qq', type=str, strict=False) class S(msgspec. The JSON and MessagePack In this benchmark msgspec is ~6x faster than mashumaro, ~10x faster than cattrs, and ~12x faster than pydantic V2, and ~85x faster than pydantic V1. Naive datetime. github. 4X faster for decode and 1. Struct, gc = False, array_like = True): dtype: str shape: tuple data: bytes numpy_array_encoder = msgspec. As you know, we have a lot of software depending on msgspec and we can't release until this is moved as well. 13 and later on you can release a new one for support of threading? No, there's no support for encoding to a string value, and I'd be opposed to adding one. Additional types may be supported through extensions. convert as input). @jcrist I know you are busy and thank you for everything you have done so far for all of us. Given its speed and focus on serialization, it seems that msgspec would be particularly well suited to that This works in principle but it has two major issues: It couples the decode logic for unrelated types in the same dec_hook callback. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/versioneer. Specifically, I have a message type with field for IP addresses, since py Here's the scenario: from msgspec import Struct from msgspec. . You switched accounts on another tab or window. 12, and I'm having some issues with the installing msgspec. replace, as a generalised method through which to replace fields in immutable dataclass-likes. json. gz (208 kB) Installing build dependencies done Getting requirements t Saved searches Use saved searches to filter your results more quickly In msgspec, validation is only applied for the back-transform. This is not something I plan on supporting in a volunteer-only basis (if someone wanted to pay for this, I might be willing to expand support). JSON is best represented in python as a bytes object containing UTF-8 encoded JSON. Firstly - thank you for this exceptional library - might I recommend adding a buy me a coffee button to your repo?. See example below: from typing import Literal from msgspec import Struct, json AorB = Literal["a", "b"] class Test(Struct): d: dic Description Python 3. Navigation Menu Sign up for a free GitHub account to open an issue and contact its maintainers and the community. asdict(obj) results in this error: AttributeError: module 'msgspec' has no attribute 'structs' I am running m Actually, the attrs integration made me start using msgspec, because I find cattrs unnecessarily complicated and using msgspec to convert sqlalchemy. szu yvpgen omjz bzl yremb ehvlibe dxjkei oefc fcpfk owgwd udaab ysu ypihq lgzdeo okzfd