Working on compiler IR is a daunting task. I have therefore added a new system property `enso.compiler.dumpIr` that will help with that. It dumps the encountered IRs to `ir-dumps` directory in the [GraphViz](www.graphviz.org) format. More info in updated docs.
Note that all the functionality to dump IRs to `dot` files was already implemented. This PR just adds the command line option and updates docs.
# Important Notes
- `--dump-graphs` cmd line option is removed as per [Jaroslav's request](https://github.com/enso-org/enso/pull/10740#pullrequestreview-2216676140).
- To dump graphs, use `-Dgraal.Dump=Truffle:2` system property passed via `JAVA_OPTS` env var.
If you run `env JAVA_OPTS='-Denso.compiler.dumpIr=true' enso --run tmp.enso` where `tmp.enso` is, e.g.:
```
from Standard.Base import all
main = 42
```
You will then have something like:
```
$ ls ir-dumps
Standard.Base.Data.Filter_Condition.dot Standard.Base.Data.Time.dot Standard.Base.System.Advanced.dot Standard.Base.Warning.dot
Standard.Base.Data.Locale.dot Standard.Base.Enso_Cloud.Enso_File.dot Standard.Base.System.File.Advanced.dot tmp.dot
Standard.Base.Data.Numeric.dot Standard.Base.Errors.dot Standard.Base.System.File.dot
Standard.Base.Data.Numeric.Internal.dot Standard.Base.Network.HTTP.Internal.dot Standard.Base.System.File.Generic.dot
Standard.Base.Data.Text.Regex.Internal.dot Standard.Base.Runtime.dot Standard.Base.System.Internal.dot
```
You can then visualize any of these with `dot -Tsvg -O ir-dumps/tmp.dot`.
An example how that could look like is
* initProtocol endpoint returns success when already initialized
* Fix test
* Docs and return error when clientId differs
* fmt
* fix: session management test
* misc: json connection controller
---------
Co-authored-by: Dmitry Bushev <bushevdv@gmail.com>
Issue with Vector nothing to do with this.
This change adds a possibility to pass an optional parameter describing full path to projects' directory, in addition to the required project id.
Enables GUI to fix#10453.
Addresses one of two concerns of #5298 - adds support for `--jvm` argument to allow us to switch from _native image_ built Enso binary (as developed by #10126) to regular JVM based Enso execution. This change _doesn't affect production builds_. The _native executable_ continues to be only built by `engine-runner/buildNativeImage` which is tested on CI, but not in the production jobs.
Ultimately, we want to forbid the `from ... export all` syntax. This PR starts by providing a way to explicitly export extension and conversion methods by name.
Stdlib code will be modified in upcoming PR.
# Important Notes
A single name can refer to multiple extension or conversion methods. Exports are not qualified. For example,
```
type My_Type
type Other_Type
My_Type.ext_method x = x
Other_Type.ext_method x = x
```
```
from project.Mod export ext_method
```
will export both `My_Type.ext_method` and `Other_Type.ext_method`.
The current implementation contains logic that should enable us to make some backward compatibility config changes.
At the same time, the logic is tightly integrated with circe's JSON library, which we want to eventually to get rid off.
Rather than trying to keep it somehow around and maintain via some hacks this PR proposes to ditch that logic completely as we currently have no use-case for such scenarios.
As a result, classes modelling YAML configs now don't have the extra fields and there is 1:1 correspondence.
Performance has also improved although that wasn't the main objective, yet. Follow up PR will attempt to replace `circe-yaml` with `snakeyaml` directly.
In preparation for #9113. Note that the dependency upgrade is necessary because it brings latest available `snakeyaml` (as part of `circe-yaml`).
close#10182
Changelog:
- add: IdMap parameter to the `text/applyEdit` request
- add: IdMap to the runtime module
- update: set IdMap during the interactive compilation
- update: set the IR identifiers in the `TreeToIR` parsing step
- Remove remnants of deprecated Scala parser
- The following projects are now JPMS modules provided on system module-path (in components directory):
- `ydoc-server`
- `profiling-utils`
- `syntax-rust-definition`
- The contents of the aforementioned modules are excluded from both `runner.jar` and `runtime.jar` fat jars.
- Suggestions are serialized and deserialized with our Persistance framework, rather than via the default Java OutputObjectWriter.
Add support for private methods. Most of the changes are in parser and compiler. The runtime checking of private functions was already present since #9692
# Important Notes
- Only top-level methods can be declared `private`.
- private method cannot be called from different project
- private method cannot be accessed from polyglot code (private method does not exist for polyglot code)
Now that #9815 has landed, we can finally bump electron-builder to the latest release. As this brings in python3 support out-of-the-box, workaround of the runtime-bump on macOS runners can be removed.
close#9656
Changelog:
- add: `ai/completion_v2` method
- add: `Visualization.AI.print` method for converting the expression to text format
- update: The default system prompt was updated to tell AI to use the `Visualization.AI.print` method for printing.
# Important Notes
The project [New_Project_1.zip](https://github.com/enso-org/enso/files/15152993/New_Project_1.zip) contains the following main file:
```py
from Standard.Base import all
from Standard.Table import all
from Standard.Database import all
from Standard.AWS import all
import Standard.Visualization
import Standard.Visualization.Warnings
from Standard.Base.Errors.Common import Dry_Run_Operation
type Student
Value id region
main =
operator70395 = 226
operator47321 = 'east'
operator76980 = Student.Value operator70395 operator47321
operator31302 = operator47321.words True
operator91574 = 1
operator34358 = operator47321.take (Index_Sub_Range.By_Index [0, operator91574])
#### METADATA ####
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{"ide":{"node":{"e3b7fac7-0c08-4f20-8a0c-a58f1b118097":{"position":{"vector":[-224,13]}},"bb556514-570d-4a87-8b2a-6e7f198a975f":{"position":{"vector":[115,19]}},"71a97e88-9b19-4ec9-b3c8-ffd2940c4cb8":{"position":{"vector":[-224,-51]}},"c7bbc3e7-1377-429e-b60a-0c2d2cd4ea74":{"position":{"vector":[360,19]},"visualization":{"show":false,"fullscreen":false,"width":200}},"f2158ac6-2dd5-482d-9f3d-0bf4812d6d6e":{"position":{"vector":[297,-45]},"visualization":{"show":false,"fullscreen":false,"width":96}},"9457c3f8-c878-4f01-a5c7-39336f163a28":{"position":{"vector":[640,40]},"visualization":{"show":false,"fullscreen":false,"width":200}},"b2df8ba8-683c-45c2-9932-8e1c970c799a":{"position":{"vector":[219,-80]},"visualization":{"show":true,"fullscreen":false,"width":200}},"f40730ff-ac6c-45db-8970-534f3becda2a":{"position":{"vector":[219,-48]}}},"import":{}}}
```
To test the functionality, I asked AI to show me the result of the `operator70395` variable:
1. Init protocol connection
```json
{"jsonrpc":"2.0","id":0,"method":"session/initProtocolConnection","params":{"clientId":"d8e948fd-6418-43c8-9f02-54827f09e10a"}}
```
2. Create execution context
```json
{"jsonrpc":"2.0","id":0,"method":"session/initProtocolConnection","params":{"clientId":"d8e948fd-6418-43c8-9f02-54827f09e10a"}}
```
3. Push the main method
```json
{"jsonrpc":"2.0","id":0,"method":"executionContext/push","params":{"contextId":"730a66ef-4222-46f8-8a03-d766946ab2bd","stackItem":{"methodPointer":{"module":"local.New_Project_1.Main","definedOnType":"local.New_Project_1.Main","name":"main"},"positionalArgumentsExpressions":[],"type":"ExplicitCall"}}}
```
4. Ask AI for the variable contents
```json
{"jsonrpc":"2.0","id":1,"method":"ai/completion_v2","params":{"contextId":"730a66ef-4222-46f8-8a03-d766946ab2bd","expressionId":"f09a4372-3231-4f2e-99f4-84aa751f9b60","prompt":"There is 'operator70395' variable defined in the program. What is the result of the variable 'operator70395'?"}}
```
I got the following responses:
```json
{"jsonrpc":"2.0","method":"ai/completionProgress","params":{"code":"Visualization.AI.print(operator70395)","reason":"To provide the result of 'operator70395', I need to know its current value.","visualizationId":"edfb00a3-6ce5-41e1-bb8f-ab191809114e"}}
```
```json
{"jsonrpc":"2.0","id":1,"result":{"Success":{"fn":"def get_operator70395_result():\n return operator70395","fnCall":"get_operator70395_result()"}}}
```
Closes#8836.
Atom constructors can be declared as private (project-private). project-private constructors can be called only from the same project. See the encapsulation.md docs for more info.
---------
Co-authored-by: Jaroslav Tulach <jaroslav.tulach@enso.org>
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
Co-authored-by: Hubert Plociniczak <hubert.plociniczak@gmail.com>
Co-authored-by: Kaz Wesley <kaz@lambdaverse.org>
This change replaces an sqllite-backed suggestions' repo with a simple, in-memory, one.
As `completion` functionality has been implemented completely in GUI, there is no need to support it in backend, which simplifies a lot of functionality.
Closes#9650 and #9471.
# Important Notes
Loading suggestions and sending them to GUI on startup is almost instantaneous. Previously it would take ~10s just for `Standard.Base`.
This PR bumps the FlatBuffers version used by the backend to `24.3.25` (the latest version as of now).
Since the newer FlatBuffers releases come with prebuilt binaries for all platforms we target, we can simplify the build process by simply downloading the required `flatc` binary from the official FlatBuffers GitHub release page. This allows us to remove the dependency on `conda`, which was the only reliable way to get the outdated `flatc`.
The `conda` setup has been removed from the CI steps and the relevant code has been removed from the build script.
The FlatBuffers version is no longer hard-coded in the Rust build script, it is inferred from the `build.sbt` definition (similar to GraalVM).
# Important Notes
This does not affect the GUI binary protocol implementation.
While I initially wanted to update it, it turned out farly non-trivial.
As there are multiple issues with the generated TS code, it was significantly refactored by hand and it is impossible to automatically update it. Work to address this problem is left as [a future task](https://github.com/enso-org/enso/issues/9658).
As the Flatbuffers binary protocol is guaranteed to be compatible between versions (unlike the generated sources), there should be no adverse effects from bumping `flatc` only on the backend side.
close#9351
Changelog:
- update: deprecate the `reexport` suggestion field
- add: `reexports` suggestion field containing the list of modules re-exporting this symbol
- update: exports logic to gather all the symbols exported from a given module
- Improved performance by batching simulatenous node edits, including metadata updates when dragging many selected nodes together.
- Updated Vue to new version, allowing us to use `defineModel`.
- Fixed#9161
- Unified all handling of auto-blur by making `useAutoBlur` cheap to register - all logic goes through a single window event handler.
- Combined all `ResizeObserver`s into one.
- Fixed the behaviour of repeated toast messages. Now only the latest compilation status is visible at any given time, and the errors disappear once compilation passes.
- Actually fixed broken interaction of node and visualization widths. There no longer is a style feedback loop and the visible node backdrop width no longer jumps or randomly fails to update.
close#8650
Changes in project manager required to work with projects located in custom directories.
Changelog:
- add: `--projects-directory /path/to/projects` `--project-list` command line parameters returning the projects located in custom directory
- update: `project/create`, `project/open`, `project/delete`, `project/rename` commands to work with projects located in custom directories
Random.Seed doesn't work in the GUI and the TEXT_ONLY tag doesn't do anything so it was incorrectly showing up in the component browser.
This MR makes Random.Seed private to hide it from the GUI and completely removes the TEXT_ONLY tag which is unused and unimplemented.
Implements `Warnings.get_all wrap_errors=True` which wraps warnings attached to values inside vectors with `Map_Error`, which includes the position of the value within the vector. See [the documentation](https://github.com/enso-org/enso/blob/develop/docs/semantics/wrapped-errors.md) for more details.
`get_all wrap_errors=True` does not change the warnings that are attached to values -- it wraps them before returning them to the caller, but does not change the original warnings attached to the values.
Wrapped warnings only appear attached to the vector itself. The values inside the vector do not have their warnings wrapped.
Warning propagation is not changed at all; `Warnings.get_all` (with default `wrap_errors=False`) behaves as before. `get_all wrap_errors=True` is meant to be used primarily by the IDE, although it can be used anywhere this wrapping is desired.
* Merged ArgumentAst and ArgumentPlaceholder into single class.
* Created `AnyWidget` input being a "general use" widget input. Most wigets try to match with it; the `Argument` input is now solely for WidgetArgument(Name) or those handling arguments in a specific way (like selector which want to show on arg name click).
* dynamic config is now part of widget input, and is properly propagated through vector editor/function widgets.
# Important Notes
The widgets still does not work perfectly:
* The chosen options often don't have argument placeholders - that's because we don't display them for constructors. Needs to be added on our side, or engine should send us methodCall info for constructors.
* There are issues with engine's messages sent to us. This makes widgets does not set up (so there is no drop-down, or vector adds `_` instead of default). I'm investigating them and going to fill issues.
Adds these JAR modules to the `component` directory inside Engine distribution:
- `graal-language-23.1.0`
- `org.bouncycastle.*` - these need to be added for graalpy language
# Important Notes
- Remove `org.bouncycastle.*` packages from `runtime.jar` fat jar.
- Make sure that the `./run` script preinstalls GraalPy standalone distribution before starting engine tests
- Note that using `python -m venv` is only possible from standalone distribution, we cannot distribute `graalpython-launcher`.
- Make sure that installation of `numpy` and its polyglot execution example works.
- Convert `Text` to `TruffleString` before passing to GraalPy - 8ee9a2816f
With herein proposed change one can pass an optional filter to `enso --run test/Benchmarks` to execute only groups and specs that contain given string in its name.
close#8329
Changelog:
- add: `cmd`+`shift`+`,` and `cmd`+`shift`+`.` shortcuts to start and stop the backend profiling. Profiling data is stored on disk.
