268 lines
14 KiB
Markdown
268 lines
14 KiB
Markdown
# Contributing Quick Start
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rust-analyzer is an ordinary Rust project, which is organized as a Cargo workspace, builds on stable and doesn't depend on C libraries.
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So, just
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```
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$ cargo test
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```
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should be enough to get you started!
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To learn more about how rust-analyzer works, see [./architecture.md](./architecture.md).
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It also explains the high-level layout of the source code.
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Do skim through that document.
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We also publish rustdoc docs to pages: https://rust-lang.github.io/rust-analyzer/ide/.
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Note though, that the internal documentation is very incomplete.
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Various organizational and process issues are discussed in this document.
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# Getting in Touch
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rust-analyzer is a part of the [RLS-2.0 working
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group](https://github.com/rust-lang/compiler-team/tree/6a769c13656c0a6959ebc09e7b1f7c09b86fb9c0/working-groups/rls-2.0).
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Discussion happens in this Zulip stream:
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https://rust-lang.zulipchat.com/#narrow/stream/185405-t-compiler.2Frust-analyzer
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# Issue Labels
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* [good-first-issue](https://github.com/rust-lang/rust-analyzer/labels/good%20first%20issue)
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are good issues to get into the project.
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* [E-has-instructions](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-has-instructions)
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issues have links to the code in question and tests.
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* [Broken Window](https://github.com/rust-lang/rust-analyzer/issues?q=is:issue+is:open+label:%22Broken+Window%22)
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are issues which are not necessarily critical by themselves, but which should be fixed ASAP regardless, to avoid accumulation of technical debt.
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* [E-easy](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-easy),
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[E-medium](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-medium),
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[E-hard](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-hard),
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[E-unknown](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AE-unknown),
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labels are *estimates* for how hard would be to write a fix. Each triaged issue should have one of these labels.
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* [S-actionable](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AS-actionable) and
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[S-unactionable](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3AS-unactionable)
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specify if there are concrete steps to resolve or advance an issue. Roughly, actionable issues need only work to be fixed,
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while unactionable ones are blocked either on user feedback (providing a reproducible example), or on larger architectural
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work or decisions. This classification is descriptive, not prescriptive, and might be wrong: Any unactionable issue might have a simple fix that we missed.
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Each triaged issue should have one of these labels.
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* [fun](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%3Afun)
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is for cool, but probably hard stuff.
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* [Design](https://github.com/rust-lang/rust-analyzer/issues?q=is%3Aopen+is%3Aissue+label%Design)
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is for moderate/large scale architecture discussion.
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Also a kind of fun.
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These issues should generally include a link to a Zulip discussion thread.
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# Code Style & Review Process
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Do see [./style.md](./style.md).
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# Cookbook
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## CI
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We use GitHub Actions for CI.
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Most of the things, including formatting, are checked by `cargo test`.
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If `cargo test` passes locally, that's a good sign that CI will be green as well.
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The only exception is that some long-running tests are skipped locally by default.
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Use `env RUN_SLOW_TESTS=1 cargo test` to run the full suite.
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We use bors to enforce the [not rocket science](https://graydon2.dreamwidth.org/1597.html) rule.
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## Launching rust-analyzer
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Debugging the language server can be tricky.
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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.
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For this reason, the best way to see how rust-analyzer works is to **find a relevant test and execute it**.
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VS Code & Emacs include an action for running a single test.
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Launching a VS Code instance with a locally built language server is also possible.
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There's **"Run Extension (Debug Build)"** launch configuration for this in VS Code.
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In general, I use one of the following workflows for fixing bugs and implementing features:
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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.
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So, I use **rust-analyzer: Run** action in VS Code to run this single test, and then just do printf-driven development/debugging.
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As a sanity check after I'm done, I use `cargo xtask install --server` and **Reload Window** action in VS Code to verify that the thing works as I expect.
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If the problem concerns only the VS Code extension, I use **Run Installed Extension** launch configuration from `launch.json`.
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Notably, this uses the usual `rust-analyzer` binary from `PATH`.
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For this, it is important to have the following in your `settings.json` file:
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```json
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{
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"rust-analyzer.server.path": "rust-analyzer"
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}
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```
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After I am done with the fix, I use `cargo xtask install --client` to try the new extension for real.
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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.
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I usually just `cargo xtask install --server` and poke changes from my live environment.
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Note that this uses `--release`, which is usually faster overall, because loading stdlib into debug version of rust-analyzer takes a lot of time.
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To speed things up, sometimes I open a temporary hello-world project which has `"rust-analyzer.cargo.sysroot": null` in `.code/settings.json`.
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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.
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Note that you should only use the `eprint!` family of macros for debugging: stdout is used for LSP communication, and `print!` would break it.
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If I need to fix something simultaneously in the server and in the client, I feel even more sad.
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I don't have a specific workflow for this case.
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Additionally, I use `cargo run --release -p rust-analyzer -- analysis-stats path/to/some/rust/crate` to run a batch analysis.
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This is primarily useful for performance optimizations, or for bug minimization.
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## TypeScript Tests
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If you change files under `editors/code` and would like to run the tests and linter, install npm and run:
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```bash
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cd editors/code
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npm ci
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npm run lint
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```
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## How to ...
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* ... add an assist? [#7535](https://github.com/rust-lang/rust-analyzer/pull/7535)
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* ... add a new protocol extension? [#4569](https://github.com/rust-lang/rust-analyzer/pull/4569)
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* ... add a new configuration option? [#7451](https://github.com/rust-lang/rust-analyzer/pull/7451)
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* ... add a new completion? [#6964](https://github.com/rust-lang/rust-analyzer/pull/6964)
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* ... allow new syntax in the parser? [#7338](https://github.com/rust-lang/rust-analyzer/pull/7338)
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## Logging
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Logging is done by both rust-analyzer and VS Code, so it might be tricky to figure out where logs go.
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Inside rust-analyzer, we use the [`tracing`](https://docs.rs/tracing/) crate for logging,
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and [`tracing-subscriber`](https://docs.rs/tracing-subscriber) for logging frontend.
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By default, log goes to stderr, but the stderr itself is processed by VS Code.
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`--log-file <PATH>` CLI argument allows logging to file.
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Setting the `RA_LOG_FILE=<PATH>` environment variable will also log to file, it will also override `--log-file`.
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To see stderr in the running VS Code instance, go to the "Output" tab of the panel and select `rust-analyzer`.
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This shows `eprintln!` as well.
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Note that `stdout` is used for the actual protocol, so `println!` will break things.
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To log all communication between the server and the client, there are two choices:
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* You can log on the server side, by running something like
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```
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env RA_LOG=lsp_server=debug code .
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```
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* You can log on the client side, by enabling `"rust-analyzer.trace.server": "verbose"` workspace setting.
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These logs are shown in a separate tab in the output and could be used with LSP inspector.
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Kudos to [@DJMcNab](https://github.com/DJMcNab) for setting this awesome infra up!
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There are also several VS Code commands which might be of interest:
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* `rust-analyzer: Status` shows some memory-usage statistics.
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* `rust-analyzer: Syntax Tree` shows syntax tree of the current file/selection.
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* `rust-analyzer: View Hir` shows the HIR expressions within the function containing the cursor.
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You can hover over syntax nodes in the opened text file to see the appropriate
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rust code that it refers to and the rust editor will also highlight the proper
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text range.
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If you trigger Go to Definition in the inspected Rust source file,
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the syntax tree read-only editor should scroll to and select the
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appropriate syntax node token.
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![demo](https://user-images.githubusercontent.com/36276403/78225773-6636a480-74d3-11ea-9d9f-1c9d42da03b0.png)
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## Profiling
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We have a built-in hierarchical profiler, you can enable it by using `RA_PROFILE` env-var:
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```
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RA_PROFILE=* // dump everything
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RA_PROFILE=foo|bar|baz // enabled only selected entries
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RA_PROFILE=*@3>10 // dump everything, up to depth 3, if it takes more than 10 ms
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```
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In particular, I have `export RA_PROFILE='*>10'` in my shell profile.
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We also have a "counting" profiler which counts number of instances of popular structs.
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It is enabled by `RA_COUNT=1`.
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To measure time for from-scratch analysis, use something like this:
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```
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$ cargo run --release -p rust-analyzer -- analysis-stats ../chalk/
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```
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For measuring time of incremental analysis, use either of these:
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```
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$ cargo run --release -p rust-analyzer -- analysis-bench ../chalk/ --highlight ../chalk/chalk-engine/src/logic.rs
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$ cargo run --release -p rust-analyzer -- analysis-bench ../chalk/ --complete ../chalk/chalk-engine/src/logic.rs:94:0
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```
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Look for `fn benchmark_xxx` tests for a quick way to reproduce performance problems.
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## Release Process
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Release process is handled by `release`, `dist`, `publish-release-notes` and `promote` xtasks, `release` being the main one.
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`release` assumes that you have checkouts of `rust-analyzer`, `rust-analyzer.github.io`, and `rust-lang/rust` in the same directory:
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```
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./rust-analyzer
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./rust-analyzer.github.io
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./rust-rust-analyzer # Note the name!
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```
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The remote for `rust-analyzer` must be called `upstream` (I use `origin` to point to my fork).
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In addition, for `xtask promote` (see below), `rust-rust-analyzer` must have a `rust-analyzer` remote pointing to this repository on GitHub.
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`release` calls the GitHub API calls to scrape pull request comments and categorize them in the changelog.
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This step uses the `curl` and `jq` applications, which need to be available in `PATH`.
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Finally, you need to obtain a GitHub personal access token and set the `GITHUB_TOKEN` environment variable.
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Release steps:
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1. Set the `GITHUB_TOKEN` environment variable.
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2. Inside rust-analyzer, run `cargo xtask release`. This will:
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* checkout the `release` branch
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* reset it to `upstream/nightly`
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* push it to `upstream`. This triggers GitHub Actions which:
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* runs `cargo xtask dist` to package binaries and VS Code extension
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* makes a GitHub release
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* publishes the VS Code extension to the marketplace
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* call the GitHub API for PR details
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* create a new changelog in `rust-analyzer.github.io`
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3. While the release is in progress, fill in the changelog
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4. Commit & push the changelog
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5. Run `cargo xtask publish-release-notes <CHANGELOG>` -- this will convert the changelog entry in AsciiDoc to Markdown and update the body of GitHub Releases entry.
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6. Tweet
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7. Inside `rust-analyzer`, run `cargo xtask promote` -- this will create a PR to rust-lang/rust updating rust-analyzer's subtree.
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Self-approve the PR.
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If the GitHub Actions release fails because of a transient problem like a timeout, you can re-run the job from the Actions console.
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If it fails because of something that needs to be fixed, remove the release tag (if needed), fix the problem, then start over.
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Make sure to remove the new changelog post created when running `cargo xtask release` a second time.
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We release "nightly" every night automatically and promote the latest nightly to "stable" manually, every week.
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We don't do "patch" releases, unless something truly egregious comes up.
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To do a patch release, cherry-pick the fix on top of the current `release` branch and push the branch.
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There's no need to write a changelog for a patch release, it's OK to include the notes about the fix into the next weekly one.
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Note: we tag releases by dates, releasing a patch release on the same day should work (by overwriting a tag), but I am not 100% sure.
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## Permissions
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There are three sets of people with extra permissions:
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* rust-analyzer GitHub organization [**admins**](https://github.com/orgs/rust-analyzer/people?query=role:owner) (which include current t-compiler leads).
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Admins have full access to the org.
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* [**review**](https://github.com/orgs/rust-analyzer/teams/review) team in the organization.
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Reviewers have `r+` access to all of organization's repositories and publish rights on crates.io.
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They also have direct commit access, but all changes should via bors queue.
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It's ok to self-approve if you think you know what you are doing!
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bors should automatically sync the permissions.
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Feel free to request a review or assign any PR to a reviewer with the relevant expertise to bring the work to their attention.
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Don't feel pressured to review assigned PRs though.
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If you don't feel like reviewing for whatever reason, someone else will pick the review up!
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* [**triage**](https://github.com/orgs/rust-analyzer/teams/triage) team in the organization.
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This team can label and close issues.
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Note that at the time being you need to be a member of the org yourself to view the links.
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