Python Fire
pydantic
Python Fire | pydantic | |
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37 | 167 | |
26,357 | 18,854 | |
0.7% | 3.3% | |
6.8 | 9.8 | |
10 days ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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Python Fire
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CLI tools hidden in the Python standard library
The cli tool [fire](https://github.com/google/python-fire/blob/master/docs/guide...) has a nifty feature where it can generate a cli for any file for you.
So random and math are somewhat usable that way
$ python -m fire random uniform 0 1
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Build CLI blazingly fast with python-fire 🔥
With python-fire you can use either function or class to create your subcommands. But I find working with classes more intuitive and manageable. Our first command is going to be a sub-command that shows us the UTC time.
- What is the status of Python 3.11?
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I am sick of writing argparse boilerplate code, so I made "duckargs" to do it for me
Have you checked out fire? Personally, I think it's a really elegant solution to turning a callable object into command line. Plus, the chaining function calls feature lets you build some pretty complex command line patterns likes you never seen with other frameworks. Definitely worth giving it a try!
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
I started with click but found python fire to be so much easier to use.
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Best way to get data into python scripts
I highly recommend checking out fire for adding a CLI quickly to little utility scripts that aren't going to be published to the world but just for you.
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What are your coolest tools for one-liners ?
python fire autogenerates CLI wrappers for python modules, which really synergizes with method-chaining APIs like pandas.
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Show HN: Rocketry – Modern scheduler to power your Python projects
Fire can basically do the first step (object -> CLI):
https://github.com/google/python-fire
Gooey can do (CLI -> GUI):
https://github.com/chriskiehl/Gooey
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What packages replaced standard library modules in your workflow?
also, while we're on the subject, fire may not be the same kind of workhorse as argparse or click, but for really simple stuff it's pretty awesome
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Eclipse: python-fire inspired library to simplify creating CLIs in Go, on top of Cobra
I'm relatively new to Go (coming from Python) so I haven't been using Cobra (or Go, for that matter) for long but it's clearly very polished -- only friction I was experiencing with it is there's a lot of boilerplate to creating commands and subcommands, that IMO (idea as proven by python-fire) can be naturally (better) expressed as types / fields / methods that are already built into the language.
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?
click - Python composable command line interface toolkit
Cerberus - Lightweight, extensible data validation library for Python
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
nexe - 🎉 create a single executable out of your node.js apps
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
PyInquirer - A Python module for common interactive command line user interfaces
SQLAlchemy - The Database Toolkit for Python
docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
mypy - Optional static typing for Python