# Contributing Quick Start

Rust Analyzer is an ordinary Rust project, which is organized as a Cargo
workspace, builds on stable and doesn't depend on C libraries. So, just

```
$ cargo test
```

should be enough to get you started!

To learn more about how rust-analyzer works, see
[./architecture.md](./architecture.md) document.

We also publish rustdoc docs to pages:

https://rust-analyzer.github.io/rust-analyzer/ra_ide/

Various organizational and process issues are discussed in this document.

# Getting in Touch

Rust Analyzer is a part of [RLS-2.0 working
group](https://github.com/rust-lang/compiler-team/tree/6a769c13656c0a6959ebc09e7b1f7c09b86fb9c0/working-groups/rls-2.0).
Discussion happens in this Zulip stream:

https://rust-lang.zulipchat.com/#narrow/stream/185405-t-compiler.2Fwg-rls-2.2E0

# Issue Labels

* [good-first-issue](https://github.com/rust-analyzer/rust-analyzer/labels/good%20first%20issue)
  are good issues to get into the project.
* [E-has-instructions](https://github.com/rust-analyzer/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-has-instructions)
  issues have links to the code in question and tests.
* [E-easy](https://github.com/rust-analyzer/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-easy),
  [E-medium](https://github.com/rust-analyzer/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-medium),
  [E-hard](https://github.com/rust-analyzer/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-hard),
  labels are *estimates* for how hard would be to write a fix.
* [fun](https://github.com/rust-analyzer/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3Afun)
  is for cool, but probably hard stuff.

# CI

We use GitHub Actions for CI. Most of the things, including formatting, are checked by
`cargo test` so, if `cargo test` passes locally, that's a good sign that CI will
be green as well. The only exception is that some long-running tests are skipped locally by default.
Use `env RUN_SLOW_TESTS=1 cargo test` to run the full suite.

We use bors-ng to enforce the [not rocket science](https://graydon2.dreamwidth.org/1597.html) rule.

You can run `cargo xtask install-pre-commit-hook` to install git-hook to run rustfmt on commit.

# Code organization

All Rust code lives in the `crates` top-level directory, and is organized as a
single Cargo workspace. The `editors` top-level directory contains code for
integrating with editors. Currently, it contains the plugin for VS Code (in
TypeScript). The `docs` top-level directory contains both developer and user
documentation.

We have some automation infra in Rust in the `xtask` package. It contains
stuff like formatting checking, code generation and powers `cargo xtask install`.
The latter syntax is achieved with the help of cargo aliases (see `.cargo`
directory).

# Launching rust-analyzer

Debugging the language server can be tricky: LSP is rather chatty, so driving it
from the command line is not really feasible, driving it via VS Code requires
interacting with two processes.

For this reason, the best way to see how rust-analyzer works is to find a
relevant test and execute it (VS Code includes an action for running a single
test).

However, launching a VS Code instance with a locally built language server is
possible. There's **"Run Extension (Debug Build)"** launch configuration for this.

In general, I use one of the following workflows for fixing bugs and
implementing features.

If the problem concerns only internal parts of rust-analyzer (i.e. I don't need
to touch the `rust-analyzer` crate or TypeScript code), there is a unit-test for it.
So, I use **Rust Analyzer: Run** action in VS Code to run this single test, and
then just do printf-driven development/debugging. As a sanity check after I'm
done, I use `cargo xtask install --server` and **Reload Window** action in VS
Code to sanity check that the thing works as I expect.

If the problem concerns only the VS Code extension, I use **Run Installed Extension**
launch configuration from `launch.json`. Notably, this uses the usual
`rust-analyzer` binary from `PATH`. For this, it is important to have the following
in your `settings.json` file:
```json
{
    "rust-analyzer.serverPath": "rust-analyzer"
}
```
After I am done with the fix, I use `cargo
xtask install --client-code` to try the new extension for real.

If I need to fix something in the `rust-analyzer` crate, I feel sad because it's
on the boundary between the two processes, and working there is slow. I usually
just `cargo xtask install --server` and poke changes from my live environment.
Note that this uses `--release`, which is usually faster overall, because
loading stdlib into debug version of rust-analyzer takes a lot of time. To speed
things up, sometimes I open a temporary hello-world project which has
`"rust-analyzer.withSysroot": false` in `.code/settings.json`. This flag causes
rust-analyzer to skip loading the sysroot, which greatly reduces the amount of
things rust-analyzer needs to do, and makes printf's more useful. Note that you
should only use the `eprint!` family of macros for debugging: stdout is used for LSP
communication, and `print!` would break it.

If I need to fix something simultaneously in the server and in the client, I
feel even more sad. I don't have a specific workflow for this case.

Additionally, I use `cargo run --release -p rust-analyzer -- analysis-stats
path/to/some/rust/crate` to run a batch analysis. This is primarily useful for
performance optimizations, or for bug minimization.

# Code Style & Review Process

Our approach to "clean code" is two-fold:

* We generally don't block PRs on style changes.
* At the same time, all code in rust-analyzer is constantly refactored.

It is explicitly OK for a reviewer to flag only some nits in the PR, and then send a follow-up cleanup PR for things which are easier to explain by example, cc-ing the original author.
Sending small cleanup PRs (like renaming a single local variable) is encouraged.

## Scale of Changes

Everyone knows that it's better to send small & focused pull requests.
The problem is, sometimes you *have* to, eg, rewrite the whole compiler, and that just doesn't fit into a set of isolated PRs.

The main things to keep an eye on are the boundaries between various components.
There are three kinds of changes:

1. Internals of a single component are changed.
   Specifically, you don't change any `pub` items.
   A good example here would be an addition of a new assist.

2. API of a component is expanded.
   Specifically, you add a new `pub` function which wasn't there before.
   A good example here would be expansion of assist API, for example, to implement lazy assists or assists groups.

3. A new dependency between components is introduced.
   Specifically, you add a `pub use` reexport from another crate or you add a new line to the `[dependencies]` section of `Cargo.toml`.
   A good example here would be adding reference search capability to the assists crates.

For the first group, the change is generally merged as long as:

* it works for the happy case,
* it has tests,
* it doesn't panic for the unhappy case.

For the second group, the change would be subjected to quite a bit of scrutiny and iteration.
The new API needs to be right (or at least easy to change later).
The actual implementation doesn't matter that much.
It's very important to minimize the amount of changed lines of code for changes of the second kind.
Often, you start doing a change of the first kind, only to realise that you need to elevate to a change of the second kind.
In this case, we'll probably ask you to split API changes into a separate PR.

Changes of the third group should be pretty rare, so we don't specify any specific process for them.
That said, adding an innocent-looking `pub use` is a very simple way to break encapsulation, keep an eye on it!

Note: if you enjoyed this abstract hand-waving about boundaries, you might appreciate
https://www.tedinski.com/2018/02/06/system-boundaries.html

## Minimal Tests

Most tests in rust-analyzer start with a snippet of Rust code.
This snippets should be minimal -- if you copy-paste a snippet of real code into the tests, make sure to remove everything which could be removed.
There are many benefits to this:

* less to read or to scroll past
* easier to understand what exactly is tested
* less stuff printed during printf-debugging
* less time to run test

It also makes sense to format snippets more compactly (for example, by placing enum defitions like `enum E { Foo, Bar }` on a single line),
as long as they are still readable.

## Order of Imports

We separate import groups with blank lines

```rust
mod x;
mod y;

use std::{ ... }

use crate_foo::{ ... }
use crate_bar::{ ... }

use crate::{}

use super::{} // but prefer `use crate::`
```

## Import Style

Items from `hir` and `ast` should be used qualified:

```rust
// Good
use ra_syntax::ast;

fn frobnicate(func: hir::Function, strukt: ast::StructDef) {}

// Not as good
use hir::Function;
use ra_syntax::ast::StructDef;

fn frobnicate(func: Function, strukt: StructDef) {}
```

Avoid local `use MyEnum::*` imports.

Prefer `use crate::foo::bar` to `use super::bar`.

## Order of Items

Optimize for the reader who sees the file for the first time, and wants to get the general idea about what's going on.
People read things from top to bottom, so place most important things first.

Specifically, if all items except one are private, always put the non-private item on top.

Put `struct`s and `enum`s first, functions and impls last.

Do

```rust
// Good
struct Foo {
    bars: Vec<Bar>
}

struct Bar;
```

rather than

```rust
// Not as good
struct Bar;

struct Foo {
    bars: Vec<Bar>
}
```

## Variable Naming

We generally use boring and long names for local variables ([yay code completion](https://github.com/rust-analyzer/rust-analyzer/pull/4162#discussion_r417130973)).
The default name is a lowercased name of the type: `global_state: GlobalState`.
Avoid ad-hoc acronyms and contractions, but use the ones that exist consistently (`db`, `ctx`, `acc`).
The default name for "result of the function" local variable is `res`.

## Collection types

We prefer `rustc_hash::FxHashMap` and `rustc_hash::FxHashSet` instead of the ones in `std::collections`.
They use a hasher that's slightly faster and using them consistently will reduce code size by some small amount.

## Preconditions

Function preconditions should generally be expressed in types and provided by the caller (rather than checked by callee):

```rust
// Good
fn frbonicate(walrus: Walrus) {
    ...
}

// Not as good
fn frobnicate(walrus: Option<Walrus>) {
    let walrus = match walrus {
        Some(it) => it,
        None => return,
    };
    ...
}
```

## Premature Pessimization

While we don't specifically optimize code yet, avoid writing code which is slower than it needs to be.
Don't allocate a `Vec` where an iterator would do, don't allocate strings needlessly.

```rust
// Good
use itertools::Itertools;

let (first_word, second_word) = match text.split_ascii_whitespace().collect_tuple() {
    Some(it) => it,
    None => return,
}

// Not as good
let words = text.split_ascii_whitespace().collect::<Vec<_>>();
if words.len() != 2 {
    return
}
```

## Documentation

For `.md` and `.adoc` files, prefer a sentence-per-line format, don't wrap lines.
If the line is too long, you want to split the sentence in two :-)

## Commit Style

We don't have specific rules around git history hygiene.
Maintaining clean git history is encouraged, but not enforced.
We use rebase workflow, it's OK to rewrite history during PR review process.

Avoid @mentioning people in commit messages and pull request descriptions (they are added to commit message by bors), as such messages create a lot of duplicate notification traffic during rebases.

# Architecture Invariants

This section tries to document high-level design constraints, which are not
always obvious from the low-level code.

## Incomplete syntax trees

Syntax trees are by design incomplete and do not enforce well-formedness.
If an AST method returns an `Option`, it *can* be `None` at runtime, even if this is forbidden by the grammar.

## LSP independence

rust-analyzer is independent from LSP.
It provides features for a hypothetical perfect Rust-specific IDE client.
Internal representations are lowered to LSP in the `rust-analyzer` crate (the only crate which is allowed to use LSP types).

## IDE/Compiler split

There's a semi-hard split between "compiler" and "IDE", at the `ra_hir` crate.
Compiler derives new facts about source code.
It explicitly acknowledges that not all info is available (i.e. you can't look at types during name resolution).

IDE assumes that all information is available at all times.

IDE should use only types from `ra_hir`, and should not depend on the underling compiler types.
`ra_hir` is a facade.

## IDE API

The main IDE crate (`ra_ide`) uses "Plain Old Data" for the API.
Rather than talking in definitions and references, it talks in Strings and textual offsets.
In general, API is centered around UI concerns -- the result of the call is what the user sees in the editor, and not what the compiler sees underneath.
The results are 100% Rust specific though.

## Parser Tests

Tests for the parser (`ra_parser`) live in the `ra_syntax` crate (see `test_data` directory).
There are two kinds of tests:

* Manually written test cases in `parser/ok` and `parser/err`
* "Inline" tests in `parser/inline` (these are generated) from comments in `ra_parser` crate.

The purpose of inline tests is not to achieve full coverage by test cases, but to explain to the reader of the code what each particular `if` and `match` is responsible for.
If you are tempted to add a large inline test, it might be a good idea to leave only the simplest example in place, and move the test to a manual `parser/ok` test.

To update test data, run with `UPDATE_EXPECT` variable:

```bash
env UPDATE_EXPECT=1 cargo qt
```

After adding a new inline test you need to run `cargo xtest codegen` and also update the test data as described above.

## TypeScript Tests

If you change files under `editors/code` and would like to run the tests and linter, install npm and run:

```bash
cd editors/code
npm ci
npm run lint
```

# Logging

Logging is done by both rust-analyzer and VS Code, so it might be tricky to
figure out where logs go.

Inside rust-analyzer, we use the standard `log` crate for logging, and
`env_logger` for logging frontend. By default, log goes to stderr, but the
stderr itself is processed by VS Code.

To see stderr in the running VS Code instance, go to the "Output" tab of the
panel and select `rust-analyzer`. This shows `eprintln!` as well. Note that
`stdout` is used for the actual protocol, so `println!` will break things.

To log all communication between the server and the client, there are two choices:

* you can log on the server side, by running something like
  ```
  env RA_LOG=gen_lsp_server=trace code .
  ```

* you can log on the client side, by enabling `"rust-analyzer.trace.server":
  "verbose"` workspace setting. These logs are shown in a separate tab in the
  output and could be used with LSP inspector. Kudos to
  [@DJMcNab](https://github.com/DJMcNab) for setting this awesome infra up!


There are also two VS Code commands which might be of interest:

* `Rust Analyzer: Status` shows some memory-usage statistics.

* `Rust Analyzer: Syntax Tree` shows syntax tree of the current file/selection.

  You can hover over syntax nodes in the opened text file to see the appropriate
  rust code that it refers to and the rust editor will also highlight the proper
  text range.

  If you trigger Go to Definition in the inspected Rust source file,
  the syntax tree read-only editor should scroll to and select the
  appropriate syntax node token.

  ![demo](https://user-images.githubusercontent.com/36276403/78225773-6636a480-74d3-11ea-9d9f-1c9d42da03b0.png)

# Profiling

We have a built-in hierarchical profiler, you can enable it by using `RA_PROFILE` env-var:

```
RA_PROFILE=*             // dump everything
RA_PROFILE=foo|bar|baz   // enabled only selected entries
RA_PROFILE=*@3>10        // dump everything, up to depth 3, if it takes more than 10 ms
```

In particular, I have `export RA_PROFILE='*>10'` in my shell profile.

To measure time for from-scratch analysis, use something like this:

```
$ cargo run --release -p rust-analyzer -- analysis-stats ../chalk/
```

For measuring time of incremental analysis, use either of these:

```
$ cargo run --release -p rust-analyzer -- analysis-bench ../chalk/ --highlight ../chalk/chalk-engine/src/logic.rs
$ cargo run --release -p rust-analyzer -- analysis-bench ../chalk/ --complete ../chalk/chalk-engine/src/logic.rs:94:0
```