# Modules and Cargo

## Modules

As programs get larger, it's necessary to spread them over more than one file and put functions and types in different namespaces. The Rust solution for both of these is modules.

C does the first, and not the second, so you end up with awful names like primitive_display_set_width and so forth. The actual filenames can be named arbitrarily.

In Rust the full name would look like primitive::display::set_width, and after saying use primitive::display you can then refer to it as display::set_width. You can even say use primitive::display::set_width and then just say set_width, but it's not a good idea to get carried away with this. rustc will not be confused, but you may get confused later. But for this to work, filenames must follow some simple rules.

A new keyword mod is used to define a module as a block where Rust types or functions can be written:

mod foo {
#[derive(Debug)]
struct Foo {
s: &'static str
}
}

fn main() {
let f = foo::Foo{s: "hello"};
println!("{:?}", f);
}


But it's still not quite right - we get 'struct Foo is private'. To solve this, we need the pub keyword to export Foo. The error then changes to 'field s of struct foo::Foo is private', so put pub before the field s to export Foo::s. Then things will work.

# #![allow(unused_variables)]
#
#fn main() {
pub struct Foo {
pub s: &'static str
}

#}

Needing an explicit pub means that you must choose what items to make public from a module. The set of functions and types exported from a module is called its interface.

It is usually better to hide the insides of a struct, and only allow access through methods:

mod foo {
#[derive(Debug)]
pub struct Foo {
s: &'static str
}

impl Foo {
pub fn new(s: &'static str) -> Foo {
Foo{s: s}
}
}
}

fn main() {
let f = foo::Foo::new("hello");
println!("{:?}", f);
}


Why is hiding the implementation a good thing? Because it means you may change it later without breaking the interface, without consumers of a module getting too dependent on its details. The great enemy of large-scale programing is a tendency for code to get entangled, so that understanding a piece of code is impossible in isolation.

In a perfect world a module does one thing, does it well, and keeps its own secrets.

When not to hide? As Stroustrup says, when the interface is the implementation, like struct Point{x: f32, y: f32}.

Within a module, all items are visible to all other items. It's a cozy place where everyone can be friends and know intimate details about each other.

Everyone gets to a point where they want to break a program up into separate files, depending on taste. I start getting uncomfortable around 500 lines, but we all agree that more than 2000 lines is pushing it.

So how to break this program into separate files?

We put the foo code into foo.rs:

# #![allow(unused_variables)]
#
#fn main() {
// foo.rs
#[derive(Debug)]
pub struct Foo {
s: &'static str
}

impl Foo {
pub fn new(s: &'static str) -> Foo {
Foo{s: s}
}
}

#}

And use a mod foo statement without a block in the main program:

// mod3.rs
mod foo;

fn main() {
let f = foo::Foo::new("hello");
println!("{:?}", f);
}


Now rustc mod3.rs will cause foo.rs to be compiled as well. There is no need to fool around with makefiles!

The compiler will also look at MODNAME/mod.rs, so this will work if I create a directory boo containing a file mod.rs:

# #![allow(unused_variables)]
#
#fn main() {
// boo/mod.rs
42
}

#}

And now the main program can use both modules as separate files:

// mod3.rs
mod foo;
mod boo;

fn main() {
let f = foo::Foo::new("hello");
println!("{:?} {}", f,res);
}


So far, there's mod3.rs, containing main, a module foo.rs and a directory boo containing mod.rs. The usual convention is that the file containing main is just called main.rs.

Why two ways to do the same thing? Because boo/mod.rs can refer to other modules defined in boo, Update boo/mod.rs and add a new module - note that this is explicitly exported. (Without the pub, bar can only be seen inside the boo module.)

# #![allow(unused_variables)]
#
#fn main() {
// boo/mod.rs
42
}

pub mod bar {
pub fn question() -> &'static str {
"the meaning of everything"
}
}

#}

and then we have the question corresponding to the answer (the bar module is inside boo):

# #![allow(unused_variables)]
#
#fn main() {
let q = boo::bar::question();

#}

That module block can be pulled out as boo/bar.rs:

# #![allow(unused_variables)]
#
#fn main() {
// boo/bar.rs
pub fn question() -> &'static str {
"the meaning of everything"
}

#}

And boo/mod.rs becomes:

# #![allow(unused_variables)]
#
#fn main() {
// boo/mod.rs
42
}

pub mod bar;

#}

In summary, modules are about organization and visibility, and this may or may not involve separate files.

Please note that use has nothing to do with importing, and simply specifies visibility of module names. For example:

# #![allow(unused_variables)]
#
#fn main() {
{
use boo::bar;
let q = bar::question();
...
}
{
use boo::bar::question();
let q = question();
...
}

#}

An important point to note is there is no separate compilation here. The main program and its module files will be recompiled each time. Larger programs will take a fair amount of time to build, although rustc is getting better at incremental compilation.

## Crates

The 'compilation unit' for Rust is the crate, which is either an executable or a library.

To separately compile the files from the last section, first build foo.rs as a Rust static library crate:

src$rustc foo.rs --crate-type=lib src$ ls -l libfoo.rlib
-rw-rw-r-- 1 steve steve 7888 Jan  5 13:35 libfoo.rlib


We can now link this into our main program:

src$rustc mod4.rs --extern foo=libfoo.rlib  But the main program must now look like this, where the extern name is the same as the one used when linking. There is an implicit top-level module foo associated with the library crate: // mod4.rs extern crate foo; fn main() { let f = foo::Foo::new("hello"); println!("{:?}", f); }  Before people start chanting 'Cargo! Cargo!' let me justify this lower-level look at building Rust. I'm a great believer in 'Know Thy Toolchain', and this will reduce the amount of new magic you need to learn when we look at managing projects with Cargo. Modules are basic language features and can be used outside Cargo projects. It's time to understand why Rust binaries are so large: src$ ls -lh mod4
-rwxrwxr-x 1 steve steve 3,4M Jan  5 13:39 mod4


That's rather fat! There is a lot of debug information in that executable. This is not a Bad Thing, if you want to use a debugger and actually want meaningful backtraces when your program panics.

So let's strip that debug information and see:

src$strip mod4 src$ ls -lh mod4
-rwxrwxr-x 1 steve steve 300K Jan  5 13:49 mod4


Still feels a little large for something so simple, but this program links statically against the Rust standard library. This is a Good Thing, since you can hand this executable to anyone with the right operating system - they will not need a 'Rust runtime'. (And rustup will even let you cross-compile for other operating systems and platforms as well.)

We can link dynamically against the Rust runtime and get truly tiny exes:

src$rustc -C prefer-dynamic mod4.rs --extern foo=libfoo.rlib src$ ls -lh mod4
-rwxrwxr-x 1 steve steve 14K Jan  5 13:53 mod4
src$ldd mod4 linux-vdso.so.1 => (0x00007fffa8746000) libstd-b4054fae3db32020.so => not found libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f3cd47aa000) /lib64/ld-linux-x86-64.so.2 (0x00007f3cd4d72000)  That 'not found' is because rustup doesn't install the dynamic libraries globally. We can hack our way to happiness, at least on Unix (yes, I know the best solution is a symlink.) src$ export LD_LIBRARY_PATH=~/.rustup/toolchains/nightly-x86_64-unknown-linux-gnu/lib
src$./mod4 Foo { s: "hello" }  Rust does not have a philosophical problem with dynamic linking, in the same way as Go does. It's just that when there's a stable release every 6 weeks it becomes inconvenient to have to recompile everything. If you have a stable version that Works For You, then cool. As stable versions of Rust get increasingly delivered by the OS package manager, dynamic linking will become more popular. ## Cargo The Rust standard library is not very large, compared to Java or Python; although much more fully featured than C or C++, which lean heavily on operating system provided libraries. But it is straightforward to access community-provided libraries in crates.io using Cargo. Cargo will look up the correct version and download the source for you, and ensures that any other needed crates are downloaded as well. Let's create a simple program which needs to read JSON. This data format is very widely used, but is too specialized for inclusion in the standard library. So we initialize a Cargo project, using '--bin' because the default is to create a library project. test$ cargo init --bin test-json
Created binary (application) project
test$cd test-json test$ cat Cargo.toml
[package]
name = "test-json"
version = "0.1.0"

[dependencies]


To make the project depend on the JSON crate, edit the 'Cargo.toml' file so:

[dependencies]
json="0.11.4"


Then do a first build with Cargo:

test-json$cargo build Updating registry https://github.com/rust-lang/crates.io-index Downloading json v0.11.4 Compiling json v0.11.4 Compiling test-json v0.1.0 (file:///home/steve/c/rust/test/test-json) Finished debug [unoptimized + debuginfo] target(s) in 1.75 secs  The main file of this project has already been created - it's 'main.rs' in the 'src' directory. It starts out just as a 'hello world' app, so let's edit it to be a proper test program. Note the very convenient 'raw' string literal - otherwise we would need to escape those double quotes and end up with ugliness: // test-json/src/main.rs extern crate json; fn main() { let doc = json::parse(r#" { "code": 200, "success": true, "payload": { "features": [ "awesome", "easyAPI", "lowLearningCurve" ] } } "#).expect("parse failed"); println!("debug {:?}", doc); println!("display {}", doc); }  You can now build and run this project - only main.rs has changed. test-json$ cargo run
Compiling test-json v0.1.0 (file:///home/steve/c/rust/test/test-json)
Finished debug [unoptimized + debuginfo] target(s) in 0.21 secs
Running target/debug/test-json
debug Object(Object { store: [("code", Number(Number { category: 1, exponent: 0, mantissa: 200 }),
0, 1), ("success", Boolean(true), 0, 2), ("payload", Object(Object { store: [("features",
Array([Short("awesome"), Short("easyAPI"), Short("lowLearningCurve")]), 0, 0)] }), 0, 0)] })


The debug output shows some internal details of the JSON document, but a plain '{}', using the Display trait, regenerates JSON from the parsed document.

Let's explore the JSON API. It would not be useful if we could not extract values. The as_TYPE methods return Option<TYPE> since we cannot be sure that the field exists or is of the correct type. (see the docs for JsonValue)

# #![allow(unused_variables)]
#
#fn main() {
let code = doc["code"].as_u32().unwrap_or(0);
let success = doc["success"].as_bool().unwrap_or(false);

assert_eq!(code, 200);
assert_eq!(success, true);

for v in features.members() {
println!("{}", v.as_str().unwrap()); // MIGHT explode
}
// awesome
// easyAPI
// lowLearningCurve

#}

features here is a reference to JsonValue - it has to be a reference because otherwise we would be trying to move a value out of the JSON document. Here we know it's an array, so members() will return a non-empty iterator over &JsonValue.

What if the 'payload' object didn't have a 'features' key? Then features would be set to Null. There will be no explosion. This convenience expresses the free-form, anything-goes nature of JSON very well. It is up to you to examine the structure of any document you receive and create your own errors if the structure does not match.

You can modify these structures. If we had let mut doc then this would do what you expect:

# #![allow(unused_variables)]
#
#fn main() {
features.push("cargo!").expect("couldn't push");

#}

The push will fail if features wasn't an array, hence it returns Result<()>.

Here's a truly beautiful use of macros to generate JSON literals:

# #![allow(unused_variables)]
#
#fn main() {
let data = object!{
"name"    => "John Doe",
"age"     => 30,
"numbers" => array![10,53,553]
};
assert_eq!(
data.dump(),
r#"{"name":"John Doe","age":30,"numbers":[10,53,553]}"#
);

#}

For this to work, you need to explicitly import macros from the JSON crate thus:

# #![allow(unused_variables)]
#
#fn main() {
#[macro_use]
extern crate json;

#}

There is a downside to using this crate, because of the mismatch between the amorphous, dynamically-typed nature of JSON and the structured, static nature of Rust. (The readme explicitly speaks of 'friction') So if you did want to map JSON to Rust data structures, you would end up doing a lot of checking, because you can not assume that the received structure matches your structs! For that, a better solution is serde_json where you serialize Rust data structures into JSON and deserialize JSON into Rust.

For this, create a another Cargo binary project with cargo new --bin test-serde-json, go into the test-serde-json directory and edit Cargo.toml. Edit it like so:

[dependencies]
serde="0.9"
serde_derive="0.9"
serde_json="0.9"


And edit src/main.rs to be this:

#[macro_use]
extern crate serde_derive;
extern crate serde_json;

#[derive(Serialize, Deserialize, Debug)]
struct Person {
name: String,
age: u8,
phones: Vec<String>,
}

#[derive(Serialize, Deserialize, Debug)]
street: String,
city: String,
}

fn main() {
let data = r#" {
"name": "John Doe", "age": 43,
"phones":["27726550023"]
} "#;
let p: Person = serde_json::from_str(data).expect("deserialize error");
println!("Please call {} at the number {}", p.name, p.phones[0]);

println!("{:#?}",p);
}


You have seen the derive attribute before, but the serde_derive crate defines custom derives for the special Serialize and Deserialize traits. And the result shows the generated Rust struct:

Please call John Doe at the number 27726550023
Person {
name: "John Doe",
age: 43,
street: "main",
city: "Downtown"
},
phones: [
"27726550023"
]
}


Now, if you did this using the json crate, you would need a few hundred lines of custom conversion code, mostly error handling. Tedious, easy to mess up, and not where you want to put effort anyway.

This is clearly the best solution if you are processing well-structured JSON from outside sources (it's possible to remap field names if needed) and provides a robust way for Rust programs to share data with other programs over the network (since everything understands JSON these days.) The cool thing about serde (for SERialization DEserialization) is that other file formats are also supported, such as toml, which is the popular configuration-friendly format used in Cargo. So your program can read .toml files into structs, and write those structs out as .json.

Serialization is an important technique and similar solutions exist for Java and Go - but with a big difference. In those languages the structure of the data is found at run-time using reflection, but in this case the serialization code is generated at compile-time - altogether more efficient!

Cargo is considered to be one of the great strengths of the Rust ecosystem, because it does a lot of work for us. Otherwise we would have had to download these libraries from Github, build as static library crates, and link them against the program. It's painful to do this for C++ projects, and would be nearly as painful for Rust projects if Cargo did not exist. C++ is somewhat unique in its painfullness here, so we should compare this with other languages' package managers. npm (for JavaScript) and pip (for Python) manage dependencies and downloads for you, but the distribution story is harder, since the user of your program needs NodeJS or Python installed. But Rust programs are statically linked against their dependencies, so again they can be handed out to your buddies without external dependencies.

## More Gems

When processing anything except simple text, regular expressions make your life much easier. These are commonly available for most languages and I'll here assume a basic familiarity with regex notation. To use the regex crate, put 'regex = "0.2.1"' after "[dependencies]" in your Cargo.toml.

We'll use 'raw strings' again so that the backslashes don't have to be escaped. In English, this regular expression is "match exactly two digits, the character ':', and then any number of digits. Capture both sets of digits":

# #![allow(unused_variables)]
#
#fn main() {
extern crate regex;
use regex::Regex;

let re = Regex::new(r"(\d{2}):(\d+)").unwrap();
println!("{:?}", re.captures("  10:230"));
println!("{:?}", re.captures("[22:2]"));
println!("{:?}", re.captures("10:x23"));
// Some(Captures({0: Some("10:230"), 1: Some("10"), 2: Some("230")}))
// Some(Captures({0: Some("22:2"), 1: Some("22"), 2: Some("2")}))
// None

#}

The successful output actually has three captures - the whole match, and the two sets of digits. These regular expressions are not anchored by default, so regex will hunt for the first occurring match, skipping anything that doesn't match. (If you left out the '()' it would just give us the whole match.)

It's possible to name those captures, and spread the regular expression over several lines, even including comments! Compiling the regex might fail (the first expect) or the match might fail (the second expect). Here we can use the result as an associative array and look up captures by name.

# #![allow(unused_variables)]
#
#fn main() {
let re = Regex::new(r"(?x)
(?P<year>\d{4})  # the year
-
(?P<month>\d{2}) # the month
-
(?P<day>\d{2})   # the day
let caps = re.captures("2010-03-14").expect("match failed");

assert_eq!("2010", &caps["year"]);
assert_eq!("03", &caps["month"]);
assert_eq!("14", &caps["day"]);

#}

Regular expressions can break up strings that match a pattern, but won't check whether they make sense. That is, you can specify and match the syntax of ISO-style dates, but semantically they may be nonsense, like "2014-24-52".

For this, you need dedicated date-time processing, which is provided by chrono. You need to decide on a time zone when doing dates:

extern crate chrono;
use chrono::*;

fn main() {
let date = Local.ymd(2010,3,14);
println!("date was {}", date);
}
// date was 2010-03-14+02:00


However, this isn't recommended because feeding it bad dates will cause a panic! (try a bogus date to see this.) The method you need here is ymd_opt which returns LocalResult<Date>

# #![allow(unused_variables)]
#
#fn main() {
let date = Local.ymd_opt(2010,3,14);
println!("date was {:?}", date);
// date was Single(2010-03-14+02:00)

let date = Local.ymd_opt(2014,24,52);
println!("date was {:?}", date);
// date was None

#}

You can also directly parse date-times, either in standard UTC format or using custom formats. These self-same formats allow you to print out dates in exactly the format you want.

I specifically highlighted these two useful crates because they would be part of the standard library in most other languages. And, in fact, the embryonic form of these crates was once part of the Rust stdlib, but were cut loose. This was a deliberate decision: the Rust team takes stdlib stability very seriously so features only arrive in stable once they have gone through incubation in unstable nightly versions, and only then beta and stable. For libraries that need experimentation and refinement, it's much better that they remain independent and get tracked with Cargo. For all practical purposes, these two crates are standard - they are not going away and may be folded back into the stdlib at some point.