truss
malli
truss | malli | |
---|---|---|
4 | 33 | |
296 | 1,417 | |
0.0% | 0.7% | |
5.9 | 9.3 | |
28 days ago | 7 days ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | Eclipse Public License 2.0 |
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truss
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Java 21: What’s New?
When type checking is needed, I find the Truss library* does the trick quite well.
As for the syntax, there is very little, which can make it a harder lift but once you have the hang of it you won't deal with the issues identified in the parent comment.
* https://github.com/taoensso/truss
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Tired by the dynamicism
I use truss extensively throughout my code to prevent those types of errors.
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Python dataclass equivalent
I haven't tried it myself. I generally just use truss for runtime constraint checking. I use a modified version that integrates scope-capture. And malli validation for more complex cases, but I try to limit that. For me it is better to validate individual attributes as needed, vs validating an entire "type"/collection of attributes. So each function only cares about the attributes that it needs, and validates only as needed.
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Love Clojure, challenged by discoverability
Use assertions for all data requirements inside functions - I use a modified version of https://github.com/ptaoussanis/truss to ensure that I never get NullReference exceptions, and this also helps make functions more self-documenting. Also use this to assert return data.
malli
- A History of Clojure (2020) [pdf]
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
Clerk: https://github.com/nextjournal/clerk
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[ANN] Malli 0.11.0 is out - a data-driven data specification library for Clojure/Script
BREAKING: walking a :schema passes children instead of [id] to the walker function #884
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Generic functions, a newbie question
When you get to larger, more complex validations, I'd recommend checking out Malli or Spec.
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Any resources for "current best practices and learnings?"
for specs, you can try malli - feels pretty well supported and full featured: https://github.com/metosin/malli (i'm not 100% sure how popular it is for others, but I use it on my personal projects)
- Single-file scripts that download their dependencies
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Clojure Turns 15 round table video
Have you tried malli: Data-driven Schemas for Clojure/Script?
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Clojure from a Schemer's perspective
All that being said, I particularly use malli and I don't find anything to complain about. There is a very nice and sound ecosystem being built around it (malli-ts is one of my contributions to it, but still in early development stages). I highly recommend reading its README, very informative stuff.
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Clojure 15th Anniversary: A Retrospective
Any large codebase can be broken up into small isolated components that can be reasoned about independently. This is how you structure Clojure projects if you want them to be maintainable. Clojure inherently encourages doing this by defaulting to immutability. The contract between components is the data being passed to the component and returned by it. Using Malli schemas at the edges of the components is a typical approach to documenting their APIs https://github.com/metosin/malli
I see the fact that people often end up creating large and tightly coupled monolithic codebases in static languages as a negative aspect of static typing. Such codebases are difficult to reason about even if you have guarantees that the types align. Ultimately, you need to understand the relationships in code, and how they relate to business logic. The more coupling an application has the harder it becomes to reason about it as a whole.
Ideally, I think applications should be structured as a bunch of Lego blocks that can be composed together. Each component should encapsulate some functionality, and then the flow of the business logic should bubble up to the top and expressed in how these components are chained together.
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Worrying comment from HN on Building a Startup on Clojure
Uhhh spec has existed for a long time and before that, schema Nowadays we also have the excellent malli. If his codebase is full of functions where the shape of the data isn’t obvious, isn’t documented and isn’t specified in a specific/schema, that’s on him and his bad coding practices and really no different from passing data in other dynamic languages. A class by itself (without additional effort) only gives you field names.
What are some alternatives?
portal - A clojure tool to navigate through your data.
clojure - The Clojure programming language
scope-capture - Project your Clojure(Script) REPL into the same context as your code when it ran
schema - Clojure(Script) library for declarative data description and validation
spec-tools - Clojure(Script) tools for clojure.spec
babashka - Native, fast starting Clojure interpreter for scripting
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection
reitit - A fast data-driven routing library for Clojure/Script
python-nrepl
honeysql - Turn Clojure data structures into SQL
plumbing - Prismatic's Clojure(Script) utility belt
fulcro - A library for development of single-page full-stack web applications in clj/cljs