| Commit message (Collapse) | Author | Age | Files | Lines |
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1454: Fix `cargo watch` code action filtering r=etaoins a=etaoins
There are two issues with the implementation of `provideCodeActions` introduced in #1439:
1. We're returning the code action based on the file its diagnostic is in; not the file the suggested fix is in. I'm not sure how often fixes are suggested cross-file but it's something we should handle.
2. We're not filtering code actions based on the passed range. The means if there is any suggestion in a file we'll show an action for every line of the file. I naively thought that VS Code would filter for us but that was wrong.
Unfortunately the VS Code `CodeAction` object is very complex - it can handle edits across multiple files, run commands, etc. This makes it complex to check them for equality or see if any of their edits intersects with a specified range.
To make it easier to work with suggestions this introduces a `SuggestedFix` model object and a `SuggestFixCollection` code action provider. This is a layer between the raw Rust JSON and VS Code's `CodeAction`s. I was reluctant to introduce another layer of abstraction here but my attempt to work directly with VS Code's model objects was worse.
Co-authored-by: Ryan Cumming <[email protected]>
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This isn't immediately obvious without looking at the users of the map
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There are two issues with the implementation of `provideCodeActions`
introduced in #1439:
1. We're returning the code action based on the file its diagnostic is
in; not the file the suggested fix is in. I'm not sure how often
fixes are suggested cross-file but it's something we should handle.
2. We're not filtering code actions based on the passed range. The means
if there is any suggestion in a file we'll show an action for every
line of the file. I naively thought that VS Code would filter for us
but that was wrong.
Unfortunately the VS Code `CodeAction` object is very complex - it can
handle edits across multiple files, run commands, etc. This makes it
complex to check them for equality or see if any of their edits
intersects with a specified range.
To make it easier to work with suggestions this introduces a
`SuggestedFix` model object and a `SuggestFixCollection` code action
provider. This is a layer between the raw Rust JSON and VS Code's
`CodeAction`s. I was reluctant to introduce another layer of abstraction
here but my attempt to work directly with VS Code's model objects was
worse.
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`tslint` doesn't catch this because TypeScript has had this check
builtin since 2.9. However, it's disabled by default so right now
nothing is checking for unused variables.
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Currently all of our VS Code diagnostics are given the source of
`rustc`. However, if you have something like `cargo-watch.command` set
to `clippy` it will also watch for Clippy lints. The `rustc` source is a
bit misleading in that case.
Fortunately, Rust's tool lints (RFC 2103) line up perfectly with VS
Code's concept of `source`. This checks for lints scoped to a given tool
and then splits them in to a `source` and tool-specific `code`.
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As promised in #1439 this is an initial attempt at unit testing the
VSCode extension. There are two separate parts to this: getting the test
framework working and unit testing the code in #1439.
The test framework nearly intact from the VSCode extension generator.
The main thing missing was `test/index.ts` which acts as an entry point
for Mocha. This was simply copied back in. I also needed to open the
test VSCode instance inside a workspace as our file URI generation
depends on a workspace being open.
There are two ways to run the test framework:
1. Opening the extension's source in VSCode, pressing F5 and selecting
the "Extensions Test" debug target.
2. Closing all copies of VSCode and running `npm test`. This is started
from the command line but actually opens a temporary VSCode window to
host the tests.
This doesn't attempt to wire this up to CI. That requires running a
headless X11 server which is a bit daunting. I'll assess the difficulty
of that in a follow-up branch. This PR is at least helpful for local
development without having to induce errors on a Rust project.
For the actual tests this uses snapshots of `rustc` output from a real
Rust project captured from the command line. Except for extracting the
`message` object and reformatting they're copied verbatim into fixture
JSON files.
Only four different types of diagnostics are tested but they represent
the main combinations of code actions and related information possible.
They can be considered the happy path tests; as we encounter
corner-cases we can introduce new tests fixtures.
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The first cut was a bit rough with the blanket `unused_*` rule. This
trigger for things like `unused_mut` where the code is used but it's
suboptimal. It's misleading to grey out the code in those cases.
Instead, use an explicit list of things known to be dead code.
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This happened to work because we always produce a single edit but this
is obviously dubious.
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Currently we depend on the ASCII rendering string that `rustc` provides
to populate Visual Studio Code's diagnostic. This has a number of
shortcomings:
1. It's not a very good use of space in the error list
2. We can't jump to secondary spans (e.g. where a called function is
defined)
3. We can't use Code Actions aka Quick Fix
This moves all of the low-level parsing and mapping to a
`rust_diagnostics.ts`. This uses some heuristics to map Rust diagnostics
to VsCode:
1. As before, the Rust diagnostic message and primary span is used for
the root diagnostic. However, we now just use the message instead of
the rendered version.
2. Every secondary span is converted to "related information". This
shows as child in the error list and can be jumped to.
3. Every child diagnostic is categorised in to three buckets:
1. If they have no span they're treated as another line of the root
messages
2. If they have replacement text they're treated as a Code Action
3. If they have a span but no replacement text they're treated as
related information (same as secondary spans).
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Co-Authored-By: Aleksey Kladov <[email protected]>
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Very simple approach: For each identifier, set the hash of the range
where it's defined as its 'id' and use it in the VSCode extension to
generate unique colors.
Thus, the generated colors are per-file. They are also quite fragile,
and I'm not entirely sure why. Looks like we need to make sure the
same ranges aren't overwritten by a later request?
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This is a quick, partial fix for #1104
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As tested by @edwin0cheng, Windows requires the quotes removed in the
previous commit. This commit re-adds the quotes gated by an if statement
on the node environment, so that quotes are only added on Windows.
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As of #1079 the VSCode cargo-watch functionality has been broken on
Linux systems.
The cause seems to be that linux takes the added quotes inside process
arguments literally, so it attempts to make cargo-watch run the command
`cargo "check --message-format json"` with the entire quoted part being
treated as a single long subcommand, which cargo doesn't know how to
handle.
Removing the extra quotes solves the issue.
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This fixes #1005.
Defaults to `ask` which prompts users each time whether to start `cargo watch`
or not. `enabled` always starts `cargo watch` and `disabled` does not.
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This gives us much more fine-grained stdout buffering and ANSI terminal colors.
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