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* Include primary span label in VS Code diagnosticsRyan Cumming2019-06-302-1/+61
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | In most cases the primary label span repeats information found elsewhere in the diagnostic. For example, with E0061: ``` { "message": "this function takes 2 parameters but 3 parameters were supplied", "spans": [{"label": "expected 2 parameters"}] } ``` However, with some mismatched type errors (E0308) the expected type only appears in the primary span's label, e.g.: ``` { "message": "mismatched types", "spans": [{"label": "expected usize, found u32"}] } ``` I initially added the primary span label to the message unconditionally. However, for most error types the child diagnostics repeat the primary span label with more detail. `rustc` also renders the duplicate text but because the span label and child diagnostics appear in visually distinct places it's not as confusing. This takes a heuristic approach where it will only add the primary span label if there are no child message lines.
* Fix `cargo watch` code action filteringRyan Cumming2019-06-294-107/+292
| | | | | | | | | | | | | | | | | | | | | | | | | | 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.
* Extract lint scopes from `cargo watch`Ryan Cumming2019-06-262-4/+23
| | | | | | | | | | | 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`.
* Initial Visual Studio Code unit testsRyan Cumming2019-06-267-0/+685
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.