Fixing node.js dependencies as:
```bash
enso/tools/enso4igv$ mvn clean install -Pvsix
```
was broken. Making sure the VSIX build is part of the _actions workflow_.
# Important Notes
To reproduce/verify remove `enso/tools/enso4igv/node_modules` first and try to build.
Upgrading to GraalVM 22.3.0.
# Important Notes
- Removed all deprecated `FrameSlot`, and replaced them with frame indexes - integers.
- Add more information to `AliasAnalysis` so that it also gathers these indexes.
- Add quick build mode option to `native-image` as default for non-release builds
- `graaljs` and `native-image` should now be downloaded via `gu` automatically, as dependencies.
- Remove `engine-runner-native` project - native image is now build straight from `engine-runner`.
- We used to have `engine-runner-native` without `sqldf` in classpath as a workaround for an internal native image bug.
- Fixed chrome inspector integration, such that it shows values of local variables both for current stack frame and caller stack frames.
- There are still many issues with the debugging in general, for example, when there is a polyglot value among local variables, a `NullPointerException` is thrown and no values are displayed.
- Removed some deprecated `native-image` options
- Remove some deprecated Truffle API method calls.
This PR updates the build script:
* fixed issue where program version check was not properly triggering;
* improved `git-clean` command to correctly clear Scala artifacts;
* added `run.ps1` wrapper to the build script that works better with PowerShell than `run.cmd`;
* increased timeouts to work around failures on macOS nightly builds;
* replaced depracated GitHub Actions APIs (set-output) with their new equivalents;
* workaround for issue with electron builder (python2 lookup) on newer macOS runner images;
* GUI and backend dispatches to cloud were completed;
* release workflow allows creating RC releases.
Each builtin `makeFunction` method has to be currently registered for reflection. Adding registration of `SliceVectorMethodGen` to make following example work ag
```bash
enso$ sbt engine-runner-native/buildNativeImage
enso$ ./runner --run engine/runner-native/src/test/resources/Factorial.enso 6
```
# Important Notes
Regression caused by #3724 - Once the above code is executed in the CI, we'll discover such breakages before integration.
This PR adds two new labels to interact with CI systems:
* `CI: Keep up to date` tells mergify bot to auto-update the PR against develop but do not merge it.
* `CI: No changelog needed` is meant to replace old `[ci no changelog needed]`
* `CI: Clean build required` marks PR as being incompatible with main development branch and will ensure that runners are cleaned before and after running jobs related to this PR.
Note that currently only first label is supported, others will follow with the build script update. However they need to be merged before, so I am able to develop and test them.
This PR reenables code signing and notarization on macOS.
[ci no changelog needed]
# Important Notes
* electron-builder has been bumped, mostly to avoid missing Python issue. A workaround for a regression with Windows installer is provided as a patch.
* added polyfill globals plugin to fix issue with missing types like Buffer that was affecting nightly releases;
* fixed exit code propagation for Windows build script wrapper;
* bumped the build script and refreshed the generated workflows.
Includes https://github.com/enso-org/ci-build/pull/8
This PR reenables code signing on Windows.
Each Windows package built on CI should be now signed.
Additionally, some refactorings were done around electron-builder config, so it is easier to use outside the build script and offers more configuration options.
Execution of `sbt runtime/bench` doesn't seem to be part of the gate. As such it can happen a change into the Enso language syntax, standard libraries, runtime & co. can break the benchmarks suite without being noticed. Integrating such PR causes unnecessary disruptions to others using the benchmarks.
Let's make sure verification of the benchmarks (e.g. that they compile and can execute without error) is part of the CI.
# Important Notes
Currently the gate shall fail. The fix is being prepared in parallel PR - #3639. When the two PRs are combined, the gate shall succeed again.
This PR replaces webpack with esbuild, as our bundler.
The change leads to out-of-the-box ~5x improvement in bundling times, reducing the latency in watch-based workflows.
Along with this a new development server (with live reload capacity) has been introduced to support watch command.
[ci no changelog needed]
### Important Notes
* workflow for checking docs has been removed because it was using outdated prettier version and caused troubles; while the same check is performed in a better way by the GUI/Lint job.
* introduced little more typescript in the scripts in place of js, usually with minimal changes.
Implement generation of Java AST types from the Rust AST type definitions, with support for deserializing in Java syntax trees created in Rust.
### New Libraries
#### `enso-reflect`
Implements a `#[derive(Reflect)]` macro to enable runtime analysis of datatypes. Macro interface includes helper attributes; **the Rust types and the `reflect` attributes applied to them fully determine the Java types** ultimately produced (by `enso-metamodel`). This is the most important API, as it is used in the subject crates (`enso-parser`, and dependencies with types used in the AST). [Module docs](https://github.com/enso-org/enso/blob/wip/kw/parser/ast-transpiler/lib/rust/reflect/macros/src/lib.rs).
#### `enso-metamodel`
Provides data models for data models in Rust/Java/Meta (a highly-abstracted language-independent model--I have referred to it before as the "generic representation", but that was an overloaded term).
The high-level interface consists of operations on data models, and between them. For example, the only operations needed by [the binary that drives datatype transpilation](https://github.com/enso-org/enso/blob/wip/kw/parser/ast-transpiler/lib/rust/parser/generate-java/src/main.rs) are: `rust::to_meta`, `java::from_meta`, `java::transform::optional_to_null`, `java::to_syntax`.
The low-level interface consists of direct usage of the datatypes; this is used by [the module that implements some serialization overrides](https://github.com/enso-org/enso/blob/wip/kw/parser/ast-transpiler/lib/rust/parser/generate-java/src/serialization.rs) (so that the Java interface to `Code` references can produce `String`s on demand based on serialized offset/length pairs). The serialization override mechanism is based on customizing, not replacing, the generated deserialization methods, so as to be as robust as possible to changes in the Rust source or in the transpilation process.
### Important Notes
- Rust/Java serialization is exhaustively tested for structural compatibility. A function [`metamodel::meta::serialization::testcases`](https://github.com/enso-org/enso/blob/wip/kw/parser/ast-transpiler/lib/rust/metamodel/src/meta/serialization.rs) uses `reflect`-derived data to generate serialized representations of ASTs to use as test cases. Its should-accept cases cover every type a tree can contain; it also produces a representative set of should-reject cases. A Rust `#[test]` confirms that these cases are accepted/rejected as expected, and generated Java tests (see Binaries below) check the generated Java deserialization code against the same test cases.
- Deserializing `Code` is untested. The mechanism is in place (in Rust, we serialize only the offset/length of the `Cow`; in Java, during deserialization we obtain a context object holding a buffer for all string data; the accessor generated in Java uses the buffer and the offset/length to return `String`s), but it will be easier to test once we have implemented actually parsing something and instantiating the `Cow`s with source code.
- `#[tagged_enum]` [now supports](https://github.com/enso-org/enso/blob/wip/kw/parser/ast-transpiler/lib/rust/shapely/macros/src/tagged_enum.rs#L36-L51) control over what is done with container-level attributes; they can be applied to the container and variants (default), only to the container, or only to variants.
- Generation of `sealed` classes is supported, but currently disabled by `TARGET_VERSION` in `metamodel::java::syntax` so that tests don't require Java 15 to run. (The same logic is run either way; there is a shallow difference in output.)
### Binaries
The `enso-parser-generate-java` crate defines several binaries:
- `enso-parser-generate-java`: Performs the transpilation; after integration, this will be invoked by the build script.
- `java-tests`: Generates the Java code that tests format deserialization; after integration this command will be invoked by the build script, and its Java output compiled and run during testing.
- `graph-rust`/`graph-meta`/`graph-java`: Produce GraphViz representations of data models in different typesystems; these are for developing and understanding model transformations.
Until integration, a **script regenerates the Java and runs the format tests: `./tools/parser_generate_java.sh`**. The generated code can be browsed in `target/generated_java`.
This PR adds sources for Enso language support in IGV (and NetBeans). The support is based on TextMate grammar shown in the editor and registration of the Enso language so IGV can find it. Then this PR adds new GitHub Actions workflow file to build the project using Maven.
- Removed `select` method.
- Removed `group` method.
- Removed `Aggregate_Table` type.
- Removed `Order_Rule` type.
- Removed `sort` method from Table.
- Expanded comments on `order_by`.
- Update comment on `aggregate` on Database.
- Update Visualisation to use new APIs.
- Updated Data Science examples to use new APIs.
- Moved Examples test out of Tests to own test.
# Important Notes
Need to get Examples_Tests added to CI.
### Pull Request Description
Using the new tooling (#3491), I investigated the **performance / compile-time tradeoff** of different codegen options for release mode builds. By scripting the testing procedure, I was able to explore many possible combinations of options, which is important because their interactions (on both application performance and build time) are complex. I found **two candidate profiles** that offer specific advantages over the current `release` settings (`baseline`):
- `thin16`: Supports incremental compiles in 1/3 the time of `baseline` in common cases. Application runs about 2% slower than `baseline`.
- `fat1-O4`: Application performs 13% better than `baseline`. Compile time is almost 3x `baseline`, and non-incremental.
(See key in first chart for the settings defining these profiles.)
We can build faster or run faster, though not in the same build. Because the effect sizes are large enough to be impactful to developer and user experience, respectively, I think we should consider having it both ways. We could **split the `release` profile** into two profiles to serve different purposes:
- `release`: A profile that supports fast developer iteration, while offering realistic performance.
- `production`: A maximally-optimized profile, for nightly builds and actual releases.
Since `wasm-pack` doesn't currently support custom profiles (rustwasm/wasm-pack#1111), we can't use a Cargo profile for `production`; however, we can implement our own profile by overriding rustc flags.
### Performance details
As you can see, `thin16` is slightly slower than `baseline`; `fat1-O4` is dramatically faster.
<details>
<summary>Methodology (click to show)</summary>
I developed a procedure for benchmarking "whole application" performance, using the new "open project" workflow (which opens the IDE and loads a complex project), and some statistical analysis to account for variance. To gather this data:
Build the application with profiling:
`./run.sh ide build --profiling-level=debug`
Run the `open_project` workflow repeatedly:
`for i in $(seq 0 9); do dist/ide/linux-unpacked/enso --entry-point profile --workflow open_project --save-profile open_project_thin16_${i}.json; done`
For each profile recorded, take the new `total_self_time` output of the `intervals` tool; gather into CSV:
`echo $(for i in $(seq 0 9); do target/rust/debug/intervals < open_project_thin16_${i}.json | tail -n1 | awk '{print $2}'; do`
(Note that the output of intervals should not be considered stable; this command may need modification in the future. Eventually it would be nice to support formatted outputs...)
The data is ready to graph. I used the `boxplot` method of the [seaborn](https://seaborn.pydata.org/index.html) package, in order to show the distribution of data.
</details>
#### Build times
In the case of changing a file in `enso-prelude`, with the current `baseline` settings rebuilding takes over 3 minutes. With the `thin16` settings, the same rebuild completes in 40 seconds.
(To gather this data on different hardware or in the future, just run the new `bench-build.sh` script for each case to be measured.)
- Change dev profile settings. Improves build performance; will not affect anything else. Details below.
- Introduce script for benchmarking various incremental builds. Usage is explained in the script comments.
- Add a line to `intervals` showing total main-thread CPU work logged in a profile; this can be used to compare the results of optimizations (I'll be starting a discussion informed by that data separately; this change just enables the tooling to report it).
