1、clap
clap在写一些CLI工具时非常有用,在ripgrep和Rust自己的Cargo都在使用,clap编译后非常小,而且加载启动非常快。clap会帮你处理命令行参数,可以自定义友好提示,支持函数式操作,非常方便。
https://clap.rs
use clap::App; fn main() { App::new("myapp") .version("1.0") .about("Does great things!") .author("Kevin K.") .get_matches(); } $ myapp --help myapp 1.0 Kevin K. Does great things! USAGE: myapp [FLAGS] FLAGS: -h, --help Prints this message -V, --version Prints version information
2、serde
和calp一样,serde是一个功能丰富且性能非常好的通用序列化库。
生产中不建议自己造轮子读写文件,你可以先定义你要的数据类型,然后使用serde库加载读写文件。另外serde库可以帮你完成YAML,JSON的序列化和反序化,非常的方便。
https://serde.rs
use serde::{Serialize, Deserialize}; #[derive(Serialize, Deserialize, Debug)] struct Point { x: i32, y: i32, } fn main() { let point = Point { x: 1, y: 2 }; // Convert the Point to a JSON string. let serialized = serde_json::to_string(&point).unwrap(); // Prints serialized = {"x":1,"y":2} println!("serialized = {}", serialized); // Convert the JSON string back to a Point. let deserialized: Point = serde_json::from_str(&serialized).unwrap(); // Prints deserialized = Point { x: 1, y: 2 } println!("deserialized = {:?}", deserialized); }
3、reqwest
reqwest和request一样,是一个http协议的客户端库,帮大多数人做了一些希望HTTP客户端为他们做的许多事情,发请求,超时处理,多种格式支持,异步同步请求,代理等等。
https://docs.rs/reqwest/0.10.8/reqwest
// This will POST a body of `{"lang":"rust","body":"json"}` let mut map = HashMap::new(); map.insert("lang", "rust"); map.insert("body", "json"); let client = reqwest::Client::new(); let res = client.post("http://httpbin.org/post") .json(&map) .send() .await?;
4、rayon
rayon是一个可以并行提供数据的库,它知道如何合理的拆分数据块并合理的使用cpu。比如你想在一个列表上并行使用map时就可以使用它。这就有意思了,在写一些CLI工具的时候很有用,并不是所有的编程语言都可以在命令行并行跑一些数据。
https://github.com/rayon-rs/rayon
use rayon::prelude::*; fn sum_of_squares(input: &[i32]) -> i32 { input.par_iter() // <-- just change that! .map(|&i| i * i) .sum() }
5、slog and log
slog是Rust中非常完整的一个日志库。很多有名的库也使用它来做日志库,比如 term,json等等。但是log库正在成为Rust标准库的一部分,可以考虑切换到log库上。
https://github.com/slog-rs/slog
let decorator = slog_term::PlainSyncDecorator::new(std::io::stdout()); let drain = slog_term::FullFormat::new(decorator).build().fuse(); let root_log = slog::Logger::root(drain, o!("version" => "0.5")); let server_log = root_log.new(o!("host" => "localhost", "port" => "8080")); let peer1_log = server_log.new(o!("peer_addr" => "8.8.8.8", "port" => "18230")); let peer2_log = server_log.new(o!("peer_addr" => "82.9.9.9", "port" => "42381")); info!(server_log, "starting"); info!(server_log, "listening"); debug!(peer2_log, "connected"); debug!(peer2_log, "message received"; "length" => 2); debug!(peer1_log, "connected"); debug!(peer2_log, "response sent"; "length" => 8); debug!(peer2_log, "disconnected"); debug!(peer1_log, "message received"; "length" => 2); debug!(peer1_log, "response sent"; "length" => 8); debug!(peer1_log, "disconnected"); info!(server_log, "exit");
6、itertools
写代码的时候,在List上加N多个操作符非常的繁琐,幸好有itertools帮我们处理,方便的很,比如你要对一个list做map完后排序,排序完后分组,你要怎么做?
https://github.com/rust-itertools/itertools
// using Itertools::fold_results to create the result of parsing let irises = DATA.lines() .map(str::parse) .fold_ok(Vec::new(), |mut v, iris: Iris| { v.push(iris); v }); let mut irises = match irises { Err(e) => { println!("Error parsing: {:?}", e); std::process::exit(1); } Ok(data) => data, }; // Sort them and group them irises.sort_by(|a, b| Ord::cmp(&a.name, &b.name));
原文地址:https://mp.weixin.qq.com/s/T7oboe-cFkxWWjss32UTUw