Msgspec github. 馃帀 Support for a wide variety of Python types.
Msgspec github Oct 8, 2022 路 class Example (Struct): x: int y: int = msgspec. Architecture Dec 9, 2023 路 I'm using msgspec for API response validation, so I wrote this: class Response(Struct, frozen=True, kw_only=True): pass So all of the responses should be created by passing kwargs, and they can't be modified by accident. route_class = MsgSpecRoute Jul 10, 2024 路 Msgspec's decision to have the tag field be a property of each struct instead might make this unreasonably difficult. py at main · jcrist/msgspec Aug 2, 2023 路 Description for example import msgspec msgspec. msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. msgspec. R Description Description Converting using msgspec. However, my use case is - as usual - Litestar, where we swapped to msgspec for our internal parsing and validation needs. You switched accounts on another tab or window. frozen is True In a file: frozen. Maybe that's impetus to re-examine #338 ? Putting this on the union instead (with an Annotated like pydantic, or by some other method, possibly even automatic?) could maybe open the door to allowing unions of TypedDicts May 26, 2023 路 Description Is there an equivalent to from_builtins, but for objects? Or maybe msgspec. 18. json files and decodes them in order to build some objects and store them in the DB usi A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - litestar-org/litestar-msgspec Mar 23, 2024 路 Question One can generate a json schema from a msgspec. In this case, it doesn't really matter how it is done, because the full pipeline is implemented in msgspec itself. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - jcrist/msgspec A collection of msgspec. convert(b'qq', type=str, strict=False) class S(msgspec. responses import MsgSpecJSONResponse from fastapi_msgspec . Struct, gc = False, array_like = True): dtype: str shape: tuple data: bytes numpy_array_encoder = msgspec. Sep 7, 2023 路 Saved searches Use saved searches to filter your results more quickly Description The msgspec. msgpack import numpy as np import timeit class NumpySerializedRepresentation (msgspec. From my perspective the only blockers to fully switch to msgspec. Aug 21, 2023 路 You however are using msgspec. 14 [msgspec (main Jul 25, 2023 路 Actually, the attrs integration made me start using msgspec, because I find cattrs unnecessarily complicated and using msgspec to convert sqlalchemy. 13 its not any longer an option . Currently, I can do this by setting omit_defaults to True, and adding a default of None to each field. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. msgspec integration for Flask This project was inspired by the flask-pydantic package created by bauerji and the Litestar framework, however while the validate decorator appears similar to the one found in flask-pydantic there are many differences. fields API does not support generic types if the type is specified as seen below: from typing import Generic, TypeVar from msgspec import Struct from msgspec. To associate your repository with the msgspec topic, visit Dec 2, 2022 路 Currently msgspec supports encoding and decoding only timezone-aware datetime. No argument there. Here's the scenario: from msgspec import Struct from msgspec. Description Hello. structs. py: I make no claims that it's illustrative of all use cases. json as mjson import numpy as np mjson. Struct): hash: bytes content: str msgspec. decode ? I'd like to be able to encode/decode into regular Python objects, specifically SQLAlchemy. Recently I've migrated it from orjson to msgspec. ArchLinux is one -> and our applications did stop working . pip install msgspec Collecting msgspec Downloading msgspec-0. 0a3. field (default = 0. 馃帀 Support for a wide variety of Python types. Dec 14, 2023 路 In msgspec, validation is only applied for the back-transform. com/jcrist/msgspec; pydantic_core + orjson: https://github. obj. Oct 1, 2024 路 Description OS: macOS Sonoma 14. Jun 2, 2022 路 Hello, I've got a service written in Python that reads data from ElasticSearch frequently 24/7. 0 as well as the current main branch. CVE-2025-27607 fix. datetime objects can be encoded using a custom enc_hook, but there's no way to decode a Description Currently msgspec only supports encoding Enum values that strings or integers, throwing msgspec. float64(1. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/msgspec/_core. Feb 25, 2021 路 msgspec is heavily tied to the CPython c-api for performance. 13 (beta1). Dec 11, 2023 路 Description There are a wide variety to objects that get mapped to strings which would seem to preclude being able to properly deserialize them with msgspec 馃槩 Simple example - encode/decode kwargs consisting of ~primitive types: >>> from A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/versioneer. 0)) Traceback (most recent call las Aug 24, 2023 路 Many of the builtin attrs validators are already supported in msgspec via other mechanisms, and will be both slower and duplicate work. Struct` codec implementation which will be more filled out in the next commit. In Fedora, we try to build this package with Python 3. Since a few people have asked about how msgspec's performance compares to pydantic v2, I've updated the gist above with a benchmark that works with the current pydantic V2 betas. py And the following command: python -m mypy . convert, which was a later addition. json. Description It seems that nested array_like=True is not working as expected. to avoid polluting the Struct method namespace, this should probably be a top-level method in the msgspec. 19. If you know the schema in advance, you can specify the schema to the datamodel-code-generator CLI to generate a Struct (or multiple Structs) for you (as generated code). com/jcrist/msgspec/blob/main/benchmarks/bench_validation. The JSON and MessagePack implementations regularly benchmark as the fastest options for Python. Encoder () numpy_array_decoder = msgspec. 13 until you support it. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/setup. /froze More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. encode(np. Structs are the repr, converter and validator functionalities of attrs. Struct, frozen=True): class Child(Base): assert Child. com/samuelcolvin/pydantic-core/ (orjson is used for encoding only, since as far as I can tell pydantic_core does not (yet?) support JSON encoding natively) msgspec integration for Flask. We see test errors, on 0. I've added a msgspec converter in the next version so now we optionally depend on msgspec, which means I can't test on 3. distros with rolling releases started to switch to Python 3. Reload to refresh your session. com/samuelcolvin/pydantic-core/ (orjson is used for encoding only, since as far as I can tell pydantic_core does not (yet?) support JSON encoding natively) Mar 4, 2025 路 On the python discord someone posted a benchmark comparing msgspec, orjson, pydantic, simdjson, This original benchmark shows msgspec decoding and validating JSON to be ~the same performance (or a bit slower) as orjson decoding it alone. Description With the following code: import msgspec as ms class Base(ms. I wrote this up: mostly to get an understanding of how msgspec's performance compares with that: of pydantic V2. json namespace instead. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - jcrist/msgspec Dec 27, 2024 路 msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Contribute to Barsug/msgspec-python313-pre development by creating an account on GitHub. Jun 1, 2024 路 Howdy! I'm trying to test cattrs on Python 3. json_schema perhaps? 馃憤 on this, I think having these methods be top-level is a much better Jan 19, 2024 路 Description Problem: I want to be able to omit None fields from the json serialization, to make the serialization more compact. In many cases this isinstance check is sufficient! You might want to check out datamodel-code-generator, which can generate msgspec. Struct definitions for use with the Ethereum Virtual Machine Msgspec Doesn't Decode Json Correctly when SQLAlchemy. Aug 21, 2023 路 What's your reasoning for defining a msgspec. datetime objects, holding strict conformance to RFC3339. """ from __future__ import annotations Mar 7, 2021 路 As per original questions and discussion with `msgspec` author: - jcrist/msgspec#25 - jcrist/msgspec#140 this prototypes a new (but very naive) `msgspec. convert({'hash': b msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. field. structs import fields T = TypeVar("T") class Ge Apr 7, 2023 路 Thanks for opening this. 14. This can cause the benchmarks to vary drastically between runs, even minutes apart. 13 . Many parsers preallocate buffers during parsing for efficiency. pip install fastapi-msgspec Usage from fastapi import FastAPI from fastapi_msgspec . EncodeError: Only enums with int or str values are supported when attempting to encode anything else. schema. 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. Struct instances implement several optimizations for reducing garbage collection (GC) pressure and decreasing memory usage. py at main · jcrist/msgspec Sep 3, 2024 路 Description Hi, Would there be any interest in adding support for numpy datatypes? Currently, attempting to encode these fails: import msgspec. Something like msgspec. #820 opened Mar 3, 2025 by Vizonex Dec_hook callback for typed json decoding. Generally, unless you control the CI runners with self-hosted boxes (which are unsafe on public Github projects!), you have no idea what machine you're going to get, or how many other jobs may be running on the same machine. tar. Mapped is used. 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. This is a common issue in msgpack decoders, as the protocol prefixes array messages with their sizes. This definitely makes sense that if you're already using msgspec. It features: 馃殌 High performance encoders/decoders for common protocols. routing import MsgSpecRoute app = FastAPI ( default_response_class = MsgSpecJSONResponse ) app . gz (216 kB) Installing build dependencies done Getting requirements to build wheel done Preparing metadata (py Aug 19, 2024 路 Description When setting both omit_defaults and array_like to True, defaults are not omitted. This project was inspired by the flask-pydantic package created by bauerji and the Litestar framework, however while the validate decorator appears similar to the one found in flask-pydantic there are many differences. Structs from JSON Schema. We could add shims everywhere that's needed to make msgspec PyPy compatible, but that would muddy up the code, increasing our maintenance burden. Struct type with a field of type type? Serialization (msgspec's primary purpose)? Or are you trying to use msgspec for runtime validation of other bits of your program, (as suggested in #513). c at main · jcrist/msgspec Mar 7, 2021 路 As per original questions and discussion with `msgspec` author: - jcrist/msgspec#25 - jcrist/msgspec#140 this prototypes a new (but very naive) `msgspec. Struct): result: msgspec. __struct_config__. To reproduce, I did: [msgspec (main)]$ uv venv --python=python3. Struct, frozen=True, forbid_unknown_fields=True, omit_defaults=True, ): longitude Apr 10, 2023 路 Description Hello, I've been struggling with this for a few days already and can't find a solution.
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