There is no need to generate unused variables warnings or other linting for IDE and repl users. By default linting is enabled during compilation and for those use-cases it is now disabled via runtime options.
Closes#9883
Graal Ydoc implementation is currently not being used locally or in the cloud and giving an impression of a slower startup.
Plus it appears that there some issues in the local connection as well.
To limit the impact of it now, let's make it controllable by the same env variable as GUI 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.
Reducing the number of log events that we spam regular users. Not the last PR in that area, but already a progress.
Also replaced `fileWalk` with a stream approach hoping that maybe it is a bit more stable on Windows.
* Mitiigate LS DDOS scenario on startup
For a medium-size project with a lot of visualizations, Language Server
will be flooded with visualization requests on startup. Due to an
existing limit for the job execution engine, some of those requests
might have been silently dropped.
This change lifts that limit until a better fix can be invented.
Additionally, a slow startup might lead to a timeout when serving open
file request. This change adds some retries as a fallback
mechanism/progress monitoring.
* add runtime-fat-jar to a list of aggregates
Building Engine, Context, ApplicationConfig and Ydoc was a adding a rather large delay during the initial startup step as all of those were blocking operations.
Moving all of those to the resource initialization step hopes to amortize some of that cost since it can be done in parallel. Had to add a `ComponentSupervisor` (open for a different name suggestion) to ensure that such delayed components are properly closed on shutdown.
# Important Notes
Adding Ydoc has added a visible delay during startup. I'm hoping that we can amortize some of that with this PR:
![Screenshot from 2024-07-05 11-12-19](https://github.com/enso-org/enso/assets/292128/fd52f749-b2cb-414d-bd2a-847ea867026c)
Now:
![Screenshot from 2024-07-05 11-25-58](https://github.com/enso-org/enso/assets/292128/9e7c96c9-ee47-46c3-9bdb-8f96bbc4a68f)
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
A quick and dirty workaround for slow processing in a similar spirit to PR #9858.
Long compilation of stdlib holds a write compilation lock, while opening the file needs to set module sources and requires read compilation lock and file lock. The expectation was that setting module sources is instantaneous except not, because of locks.
This PR adds soft retries.
Partially closes#10231. There are still problems related to https://github.com/enso-org/enso/issues/9993 once this PR is merged.
# Important Notes
We need to figure out a more fine-grained lock system or, ideally, make it lock free to avoid such hacks.
Reducing the number of dependencies. Explicit `cats` are almost gone (present in `cli`). `enumeration` is completely gone. `cats` is also still included implicitly via `io.circe` but that's a different kind of beast.
Also, really removed `jackson` from dependencies by fixing the dependency on `http-test-helper`.
# Important Notes
In a number of places importing all cats implicits could be simply replaced with a single or two method calls. Not to mention that this will reduce compilation times due to reduced implicit search space.
One example of how the changes affect performance (not only startup):
Before:
![Screenshot from 2024-06-11 12-05-24](https://github.com/enso-org/enso/assets/292128/a1a772a9-635d-4a16-a543-e2fd2124a22c)
Now:
![Screenshot from 2024-06-11 14-27-47](https://github.com/enso-org/enso/assets/292128/b17c7fcc-9a6d-48b9-8200-60708354ee03)
(frequently executed)
![Screenshot from 2024-06-12 12-46-34](https://github.com/enso-org/enso/assets/292128/31bc4dfd-4edc-45c9-9c5d-13e3472089b9)
Also appears to be gone.
This PR is by no means finished. The purge will continue in follow up PRs.
- 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.
- related #7954
Changelog:
- update: Ydoc starts with the language server on the `localhost:1234` by default. The hostname and ports can be configured by setting environment variables `LANGUAGE_SERVER_YDOC_HOSTNAME` and `LANGUAGE_SERVER_YDOC_PORT`
- update: by default `npm dev run` uses the node Ydoc server. You can control it with `POLYGLOT_YDOC_SERVER` env variable. For example,
```
env POLYGLOT_YDOC_SERVER='true' npm --workspace=enso-gui2 run dev
```
To connect to the Ydoc server running on the 1234 port (the one started with the language server)
⠀
```
env POLYGLOT_YDOC_SERVER='ws://127.0.0.1:1235' npm --workspace=enso-gui2 run dev
```
To connect to the provided URL. Can be useful for debugging when you start a separate Ydoc process.
- update: run `npm install` before the engine build. It is required to create the Ydoc JS bundle.
Ensure strict errors are off to prevent unrecoverable errors in IDE.
Also partially reverted a change that prevented application of changes on errors (errors are still logged, as intended).
Closes#10014.
We don't seem to run `abortJobs` under a lock, and especially not under the write compilation lock, in other scenarios. This is causing some major slowdown when there is a long running execution or compilation, as currently experienced in the cloud.
This should reduce chances of a timeout.
Also added an option to override the global executor. Currently it would always default to the runtime number of available process which may be suboptimal.
# Important Notes
Pending testing on the impact it will have.
I'm seeing occasional IO timeouts, especially on startup operations, for cloud projects. Adding some logging to make an informed decision if there are some problems there.
Related to https://github.com/enso-org/enso/issues/9789
# Important Notes
Also added retries when closing the file as I saw a number of times:
```
Session release failed.
LsRpcError: Language server request 'text/closeFile' failed.
at LanguageServer.request (/tmp/.mount_enso-leMqqdS/resources/app.asar/index.cjs:58291:15)
at async Promise.all (index 0)
at async _LanguageServerSession.release (/tmp/.mount_enso-leMqqdS/resources/app.asar/index.cjs:59165:5)
at async /tmp/.mount_enso-leMqqdS/resources/app.asar/index.cjs:59670:7 {
cause: JSONRPCError2: Request timeout request took longer than 15000 ms to resolve
at new JSONRPCError2 (/tmp/.mount_enso-leMqqdS/resources/app.asar/index.cjs:26822:30)
at Timeout._onTimeout (/tmp/.mount_enso-leMqqdS/resources/app.asar/index.cjs:26985:20)
at listOnTimeout (node:internal/timers:569:17)
at process.processTimers (node:internal/timers:512:7) {
code: 7777,
data: undefined
},
request: 'text/closeFile',
params: {
path: {
rootId: '00000000-0000-0000-0000-000000000001',
segments: [Array]
}
}
}
```
Follow up to #9558, this time to `SetExecutionContextEnvironmentHandler` that was timing out in #9789.
Added a base classes that handles the repeatable logic.
Maybe it will close#9789.
close#9306
Changelog:
- fix: `polyglot.data.Tree` Jackson serialization
- update: report errors during the deserialization messages between the Runtime and the Language Server
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()"}}}
```
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
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
Fixes#9313
[Screencast from 2024-03-22 09-09-07.webm](https://github.com/enso-org/enso/assets/3919101/6ad86145-6882-4bde-993d-b1270f1ec06c)
# Important Notes
* This is PoC, so I didn't spend time on polishing the visuals; the design will likely change.
* I modified the shortcut handler a bit, allowing making multiple actions for same binding - the action's handler will be called in unspecified order, until one of them handle the event (i.e. not return false).
* To make it working regardless of imports, I needed to export AI module in Standard.Visualization. Moreover, needed to remove build_ai_prompt for Any, because it was causing issues - expect a bug report soon.
`Bump` library uses parser combinators behind the scenes which are known to be good at expressing grammars but are not performance-oriented.
This change ditches the dependency in favour of an existing Java implementation. `jsemver` implements the full specification, which is probably an overkill in our case, but proved to be an almost drop-in replacement for the previous library.
Closes#8692
# Important Notes
Peformance improvements:
- roughly 50ms compared to the previous approach (from 80ms to 20-40ms)
I don't see any time spent in the new implementation during startup so it could be potentially aggressively inlined.
Further more, we could use a facade and offer our own strip down version of semver.
related #8689
Fixes a race between the language server SQL updating logic and the engine `DeserializeLibrarySuggestionsJob`s when the library suggestions may start loading before the database is properly cleaned up after the reconnect.
related #8689
Clean up the client's execution contexts when it disconnects from the language server. Dangling execution contexts may slow down the execution when the user reconnects to the language server.
Uniqueness check of `UpsertVisualizationJob` only involved expressionId. Apparently now GUI sends mutliple visualizations for the same expressions and expects all of them to exist. Since previously we would cancel duplicate jobs, this was problematic.
This change makes sure that uniqueness also takes into account visualization id. Fixed a few logs that were not passing arguments properly.
Closes#8801
# Important Notes
I have not noticed any more problems with loading visualizations so the issue appears to be resolved with this change.
Added a unit test case that would previously fail due to cancellation of a job that upserts visualization.