Git Product home page Git Product logo

tye-plugin's Issues

Any way to debug?

As title suggests, I'm wondering if this plugin has the ability to debug services. Using tye with vscode provides this out of the box when using tye plugin.

Using Rider 🟥 (Stop) doesn't kill Tye & Docker Containers

When Running via the command line + Pressing CTRL + C. Docker kills & cleans up the containers.
ezgif-3-7a2c2b2d1aff

But when adding a Tye Project to Run/Debug configurations, I'm able to launch the Tye project, but when killing it using the Stop button, the containers aren't cleaned up.
ezgif-3-835021742f02

There is just a message printed to the console, which l assume the kill (or the correct kill) command isn't propagated to Tye itself?

Process finished with exit code 137 (interrupted by signal 9: SIGKILL)

Add support for the EAP version of Rider

The latest version (0.4.0) doesn't appear to support the EAP version of Rider (but v0.3.0 did). When I try to install the updated plugin, I get the following error:
image

Thanks!

Unable to connect to Tye Dashboard

I get the following issue. Is there a way to override it perhaps? (Unfortunately my java / intellij-plugin capabilities are extremely limited, so I dont know where to start at the moment)

2021-08-24 at 08 47

kotlinx.serialization.json.internal.JsonDecodingException: Unexpected JSON token at offset 676: Encountered an unknown key 'serviceSource'.
Use 'ignoreUnknownKeys = true' in 'Json {}' builder to ignore unknown keys.
JSON input: .....onfiguration": []
    },
    "serviceSource": "configuration.....
	at kotlinx.serialization.json.internal.JsonExceptionsKt.JsonDecodingException(JsonExceptions.kt:24)
	at kotlinx.serialization.json.internal.JsonExceptionsKt.JsonDecodingException(JsonExceptions.kt:32)
	at kotlinx.serialization.json.internal.JsonLexer.fail(JsonLexer.kt:479)
	at kotlinx.serialization.json.internal.JsonLexer.failOnUnknownKey(JsonLexer.kt:475)
	at kotlinx.serialization.json.internal.StreamingJsonDecoder.handleUnknown(StreamingJsonDecoder.kt:154)
	at kotlinx.serialization.json.internal.StreamingJsonDecoder.decodeObjectIndex(StreamingJsonDecoder.kt:143)
	at kotlinx.serialization.json.internal.StreamingJsonDecoder.decodeElementIndex(StreamingJsonDecoder.kt:75)
	at com.github.rafaelldi.tyeplugin.api.model.ServiceDto$$serializer.deserialize(ServiceDto.kt:5)
	at com.github.rafaelldi.tyeplugin.api.model.ServiceDto$$serializer.deserialize(ServiceDto.kt:5)
	at kotlinx.serialization.json.internal.PolymorphicKt.decodeSerializableValuePolymorphic(Polymorphic.kt:63)
	at kotlinx.serialization.json.internal.StreamingJsonDecoder.decodeSerializableValue(StreamingJsonDecoder.kt:32)
	at kotlinx.serialization.encoding.AbstractDecoder.decodeSerializableValue(AbstractDecoder.kt:43)
	at kotlinx.serialization.encoding.AbstractDecoder.decodeSerializableElement(AbstractDecoder.kt:70)
	at kotlinx.serialization.encoding.CompositeDecoder$DefaultImpls.decodeSerializableElement$default(Decoding.kt:535)
	at kotlinx.serialization.internal.ListLikeSerializer.readElement(CollectionSerializers.kt:80)
	at kotlinx.serialization.internal.AbstractCollectionSerializer.readElement$default(CollectionSerializers.kt:51)
	at kotlinx.serialization.internal.AbstractCollectionSerializer.merge(CollectionSerializers.kt:36)
	at kotlinx.serialization.internal.AbstractCollectionSerializer.deserialize(CollectionSerializers.kt:43)
	at kotlinx.serialization.json.internal.PolymorphicKt.decodeSerializableValuePolymorphic(Polymorphic.kt:63)
	at kotlinx.serialization.json.internal.StreamingJsonDecoder.decodeSerializableValue(StreamingJsonDecoder.kt:32)
	at kotlinx.serialization.json.Json.decodeFromString(Json.kt:95)
	at io.ktor.client.features.json.serializer.KotlinxSerializer.read(KotlinxSerializer.kt:37)
	at io.ktor.client.features.json.JsonSerializer$DefaultImpls.read(JsonSerializer.kt:31)
	at io.ktor.client.features.json.serializer.KotlinxSerializer.read(KotlinxSerializer.kt:20)
	at io.ktor.client.features.json.JsonFeature$Feature$install$2.invokeSuspend(JsonFeature.kt:161)
	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
	at kotlinx.coroutines.EventLoopImplBase.processNextEvent(EventLoop.common.kt:277)
	at kotlinx.coroutines.BlockingCoroutine.joinBlocking(Builders.kt:87)
	at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking(Builders.kt:61)
	at kotlinx.coroutines.BuildersKt.runBlocking(Unknown Source)
	at kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking$default(Builders.kt:40)
	at kotlinx.coroutines.BuildersKt.runBlocking$default(Unknown Source)
	at com.github.rafaelldi.tyeplugin.actions.ConnectToTyeHostAction.connect(ConnectToTyeHostAction.kt:41)
	at com.github.rafaelldi.tyeplugin.actions.ConnectToTyeHostAction.access$connect(ConnectToTyeHostAction.kt:13)
	at com.github.rafaelldi.tyeplugin.actions.ConnectToTyeHostAction$actionPerformed$task$1.run(ConnectToTyeHostAction.kt:33)
	at com.intellij.openapi.progress.impl.CoreProgressManager.startTask(CoreProgressManager.java:450)
	at com.intellij.openapi.progress.impl.ProgressManagerImpl.startTask(ProgressManagerImpl.java:117)
	at com.intellij.openapi.progress.impl.CoreProgressManager.lambda$runProcessWithProgressAsync$5(CoreProgressManager.java:510)
	at com.intellij.codeWithMe.ClientId$Companion$decorateFunction$2.apply(ClientId.kt:209)
	at com.intellij.codeWithMe.ClientId$Companion$decorateFunction$2.apply(ClientId.kt:209)
	at com.intellij.openapi.progress.impl.ProgressRunner.lambda$submit$3(ProgressRunner.java:243)
	at com.intellij.openapi.progress.impl.CoreProgressManager.lambda$runProcess$2(CoreProgressManager.java:183)
	at com.intellij.openapi.progress.impl.CoreProgressManager.registerIndicatorAndRun(CoreProgressManager.java:705)
	at com.intellij.openapi.progress.impl.CoreProgressManager.executeProcessUnderProgress(CoreProgressManager.java:647)
	at com.intellij.openapi.progress.impl.ProgressManagerImpl.executeProcessUnderProgress(ProgressManagerImpl.java:63)
	at com.intellij.openapi.progress.impl.CoreProgressManager.runProcess(CoreProgressManager.java:170)
	at com.intellij.openapi.progress.impl.ProgressRunner.lambda$submit$4(ProgressRunner.java:243)
	at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1700)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	at java.base/java.util.concurrent.Executors$PrivilegedThreadFactory$1$1.run(Executors.java:668)
	at java.base/java.util.concurrent.Executors$PrivilegedThreadFactory$1$1.run(Executors.java:665)
	at java.base/java.security.AccessController.doPrivileged(Native Method)
	at java.base/java.util.concurrent.Executors$PrivilegedThreadFactory$1.run(Executors.java:665)
	at java.base/java.lang.Thread.run(Thread.java:829)

Versions Of Software:

JetBrains Rider 2021.2
Build #RD-212.4746.113, built on July 30, 2021
macOS 11.5
.NET(core) 5.0.7
Tye Version: 0.9.0-alpha.21380.1+836b0baa8a0ed5d8ca3bebc27c7d4f6d0a7bdfd9

also, thank you for taking the time to create this plugin. Rider definitely needs something like this ⭐️

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.