toml-rs VS HomeBrew

I updated the toml<->json online converter after the ValueAfterTable error has been fixed with toml 0.6. Very nice to see progress on the toml and toml_edit crates.

use std::fs::File; use std::io::Write; use std::collections::BTreeMap as Map; use serde_derive::{Serialize, Deserialize}; #[derive(Debug)] #[derive(Serialize, Deserialize)] #[serde(tag = "type0")] enum FooBarTwo<'a> { FooBarOne { string1: &'a str }, } #[derive(Debug)] #[derive(Serialize, Deserialize)] #[serde(tag = "type1")] enum FooBarThree<'a> { FooBarFour { string2: &'a str }, } #[derive(Debug)] #[derive(Serialize, Deserialize)] struct FooBarFour<'a> { black: &'a str, #[serde(borrow)] green: FooBarTwo<'a>, #[serde(borrow)] blue: FooBarThree<'a>, } #[derive(Debug)] #[derive(Serialize, Deserialize)] struct FooBarFourList<'a> { // Uasing a Map to workaround a known bug (#303) when using top level Vec // see https://github.com/alexcrichton/toml-rs/issues/303 #[serde(borrow)] foo_bar_six: Map<&'a str, FooBarFour<'a>> } fn main() { let red = FooBarFour { black: "aaa", green: FooBarTwo::FooBarOne { string1: "aaaabbbb" }, blue: FooBarThree::FooBarFour { string2: "ccccccc" }, }; let pink = FooBarFour { black: "aaa", green: FooBarTwo::FooBarOne { string1: "aaaabbbb" }, blue: FooBarThree::FooBarFour { string2: "ccccccc" }, }; let mut white = Map::new(); white.insert("pink", pink); white.insert("red", red); let fbfl = FooBarFourList { foo_bar_six: white }; println!("\nTL: {:?}\n", fbfl); let filename = "./data/test.toml"; let data = toml::to_string(&fbfl).expect("Error serialising fbfl"); println!("\nTL as TOML: {:?}\n", data); let mut f = File::create(filename).expect("Unable to create file"); f.write_all(data.as_bytes()).expect("Error writing data to file"); let toml_in: FooBarFour = toml::from_str(&data).expect("Error deserialising fbfl"); println!("\n{:?}\n", toml_in); }

This is especially useful for data deserialization: Just by implementing the Serialize and Deserialize traits from the serde crate, the (almost) universally used serialization library in the Rust world, we can then serialize and deserialize our types to a lot of data formats: JSON, YAML, TOML, BSON and so on...

It looks like the fields are public now (https://github.com/alexcrichton/toml-rs/pull/455, https://docs.rs/toml/latest/toml/value/struct.Date.html), so just upgrading the crate should do it :-)

Pair that with Serde for serialization/deserialization (JSON, TOML, YAML, CSV/TSV, XML, URL query strings, etc.), Figment for configuration, and ignore for filesystem traversal with blacklist support, and Rust is a real joy for writing CLI utilities.

Added toml-rs-compatible API via the toml_edit::easy module for when developers want to ensure consistency between format-preserving and general TOML work, with one caveat.

A quick example off the top of the head of my head is some tests in the toml package. It has a few different approaches. One is to use macros as in parser.rs. In valid.rs and invalid.rs it uses macros to generate a separate test for each input file. This allows you to run just one individual test from the list. These examples aren't perfect, and there are more sophisticated test utilities (like insta) that can abstract the process of "here are a bunch of inputs, test them all".

I want to read a toml file with default value. I tried toml-rs but it doesn't allow for default values.

Homebrew is a highly popular package manager on macOS and Linux systems, enabling users to easily install, update, and uninstall command-line tools and applications. Its design philosophy focuses on simplifying the software installation process on macOS, eliminating the need for manual downloads and compilations of software packages.

Homebrew - package manager for linux-based OSs.

Package Manager: Homebrew

Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.

Are you using SQLite that ships with macOS, or SQLite installed from homebrew?

I had a different problem in the past with the SQLite that ships with macOS, and have been using SQLite from homebrew since.

So if it’s the one that comes with macOS that gives you this problem that you are having, try using SQLite from homebrew instead.

https://brew.sh/

Before we begin, make sure you have Homebrew installed on your Mac. Homebrew is a package manager that makes it easy to install software and dependencies. You can install Homebrew by following the instructions on their website: https://brew.sh/

I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS.

I have always either installed Node from the installer provided by the Nodejs website or, via Brew in macOS. I have also used nvm in the past but did not know that there was a best practice to guide us.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

On a macOS machine, you can use homebrew by running the command.