pydantic-redis
pydantic
pydantic-redis | pydantic | |
---|---|---|
2 | 167 | |
35 | 18,733 | |
- | 2.1% | |
6.4 | 9.8 | |
3 months ago | about 15 hours ago | |
Python | Python | |
MIT License | MIT License |
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pydantic-redis
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pydantic-aioredis - use your Pydantic models as a simple ORM with Redis
I've been using FastAPI a lot lately to write async APIs. I frequently write code to do basic CRUD operations with Redis, and I wanted to do those operations right from my Pydantic models. Some searching led me to pydantic-redis, but I wanted an async solution, so I forked the library and rewrote it to use aioredis 2 instead of redispy.
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Pydantic-aioredis: A simple Declarative ORM for Redis using Pydantic Models and aioredis
Searching lead me to pydantic-redis but I wanted it to async, so I forked and rewrote to use aioredis 2.
pydantic
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Advanced RAG with guided generation
First, note the method prefix_allowed_tokens_fn. This method applies a Pydantic model to constrain/guide how the LLM generates tokens. Next, see how that constrain can be applied to txtai's LLM pipeline.
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utype VS pydantic - a user suggested alternative
2 projects | 15 Feb 2024
utype is a concise alternative of pydantic with simplified parameters and usages, supporting both sync/async functions and generators parsing, and capable of using native logic operators to define logical types like AND/OR/NOT, also provides custom type parsing by register mechanism that supports libraries like pydantic, attrs and dataclasses
- Pydantic v2 ruined the elegance of Pydantic v1
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Ask HN: Pydantic has too much deprecation. Why is it popular?
I like some of the changes from v1 to v2. But then you have something like this [0] removed from the library without proper documentation or replacement, resulting in ugly workarounds in the link that wont' work properly.
[0]: https://github.com/pydantic/pydantic/discussions/6337
- OpenAI uses Pydantic for their ChatCompletions API
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🍹GinAI - Cocktails mixed with generative AI
The easiest implementation I found was to use a PyDantic class for my target schema — and use that as a parameter for the method call to “ChatCompletion.create()”. Here’s a fragment of the GinAI Python classes used.
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FastStream: Python's framework for Efficient Message Queue Handling
Also, FastStream uses Pydantic to parse input JSON-encoded data into Python objects, making it easy to work with structured data in your applications, so you can serialize your input messages just using type annotations.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
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FastAPI 0.100.0:Release Notes
Well the performance increase is so huge because pydantic1 is really really slow. And for using rust, I'd have expected more tbh…
I've been benchmarking pydantic v2 against typedload (which I write) and despite the rust, it still manages to be slower than pure python in some benchmarks.
The ones on the website are still about comparing to v1 because v2 was not out yet at the time of the last release.
pydantic's author will refuse to benchmark any library that is faster (https://github.com/pydantic/pydantic/pull/3264 https://github.com/pydantic/pydantic/pull/1525 https://github.com/pydantic/pydantic/pull/1810) and keep boasting about amazing performances.
On pypy, v2 beta was really really really slow.
What are some alternatives?
pydantic-aioredis - A Declarative ORM for Redis using Pydantic Models and aioredis
Cerberus - Lightweight, extensible data validation library for Python
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
nexe - 🎉 create a single executable out of your node.js apps
prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
pydbantic - A single model for shaping, creating, accessing, storing data within a Database
SQLAlchemy - The Database Toolkit for Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
beanie - Asynchronous Python ODM for MongoDB
mypy - Optional static typing for Python