part of #7954
# Important Notes
The workflow is:
- `$ npm install` -- just in case
- `$ npm --workspace=enso-gui2 run build-ydoc-server-polyglot` -- build the `ydocServer.js` bundle
- `$ sbt ydoc-server/assembly` -- build the ydoc server jar
- `env POLYGLOT_YDOC_SERVER=true npm --workspace=enso-gui2 run dev` -- run the dev server with the polyglot ydoc server. Providing `POLYGLOT_YDOC_SERVER_DEBUG=true` env variable enables the chrome debugger
Make sure `libenso_parser.so`, `.dll` or `.dylib` are packaged and included when `sbt buildEngineDistribution`.
# Important Notes
There was [a discussion](https://discord.com/channels/401396655599124480/1036562819644141598) about proper location of the library. It was concluded that _"there's no functional difference between a dylib and a jar."_ and as such the library is placed in `component` folder.
Currently the old parser is still used for parsing. This PR just integrates the build system changes and makes us ready for smooth flipping of the parser in the future as part of #3611.
Parse text literals. See: https://www.pivotaltracker.com/story/show/182496940
# Important Notes
- The left-trimming algorithm (https://github.com/enso-org/design/blob/wip/wd/enso-spec/epics/enso-spec-1.0/04.%20Expressions.md#inline-and-block-text-literals) requires two passes over the sequence of text segments. This implementation performs one pass while parsing (identifying the correct amount of trim). The other pass (applying the trim) can be done when building the value of the quoted string: Trim the amount of whitespace identified by the `trim` field off of the whitespace of each `TextSection` (the value will not exceed the amount of whitespace found in the tokens' offsets, except for tokens with 0 offset, in which case no trimming is necessary/possible).
Implements:
- UUIDs: https://www.pivotaltracker.com/story/show/182931137
- Comments: https://www.pivotaltracker.com/story/show/182981779
- Type annotations and signatures: https://www.pivotaltracker.com/story/show/182497454
- Fix getter names (https://github.com/enso-org/enso/pull/3627#discussion_r940887460).
# Important Notes
- I can't fully test UUIDs; I have tested that the data obtained in Rust matches my understanding of how the format is supposed to work. What remains to be tested is that the data in Java matches the way the old parser handles the format. So @JaroslavTulach, let me know if you see any cases where I'm not returning the same values.
- This implementation of type annotations and signatures accepts any expression in type context. It would probably be nice to narrow this down at some point, but for now I have no design info on what specifically should be allowed in type expressions; this implementation should be at least an incremental improvement.
Provide a JNI dynamic-library interface to `enso_parser`.
# Important Notes
- The library can be built with: `cargo build -p enso-parser-jni`.
- A new `org.enso.syntax2.Parser` API is implemented on top of the JNI interface provided by `enso-parser-jni`.
- We are using the `jni` crate, since apparently Java cannot just call C-ABI functions. The crate is not well-maintained. I came across an obviously-unsound `safe` function, and found it was reported over a year ago, with a PR to fix: jni-rs/jni-rs#303. However our needs are simple. We can't trust any safety guarantees they imply, but I think we are unlikely to encounter any logic bugs using the basic bindings.
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`.
