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com.pulumi.gcp.ml.kotlin.EngineModel.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.gcp.ml.kotlin
import com.pulumi.core.Output
import com.pulumi.gcp.ml.kotlin.outputs.EngineModelDefaultVersion
import com.pulumi.gcp.ml.kotlin.outputs.EngineModelDefaultVersion.Companion.toKotlin
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
/**
* Builder for [EngineModel].
*/
@PulumiTagMarker
public class EngineModelResourceBuilder internal constructor() {
public var name: String? = null
public var args: EngineModelArgs = EngineModelArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend EngineModelArgsBuilder.() -> Unit) {
val builder = EngineModelArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): EngineModel {
val builtJavaResource = com.pulumi.gcp.ml.EngineModel(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return EngineModel(builtJavaResource)
}
}
/**
* Represents a machine learning solution.
* A model can have multiple versions, each of which is a deployed, trained model
* ready to receive prediction requests. The model itself is just a container.
* To get more information about Model, see:
* * [API documentation](https://cloud.google.com/ai-platform/prediction/docs/reference/rest/v1/projects.models)
* * How-to Guides
* * [Official Documentation](https://cloud.google.com/ai-platform/prediction/docs/deploying-models)
* ## Example Usage
* ### Ml Model Basic
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const _default = new gcp.ml.EngineModel("default", {
* name: "default",
* description: "My model",
* regions: "us-central1",
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* default = gcp.ml.EngineModel("default",
* name="default",
* description="My model",
* regions="us-central1")
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var @default = new Gcp.ML.EngineModel("default", new()
* {
* Name = "default",
* Description = "My model",
* Regions = "us-central1",
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/ml"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
* Name: pulumi.String("default"),
* Description: pulumi.String("My model"),
* Regions: pulumi.String("us-central1"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.gcp.ml.EngineModel;
* import com.pulumi.gcp.ml.EngineModelArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var default_ = new EngineModel("default", EngineModelArgs.builder()
* .name("default")
* .description("My model")
* .regions("us-central1")
* .build());
* }
* }
* ```
* ```yaml
* resources:
* default:
* type: gcp:ml:EngineModel
* properties:
* name: default
* description: My model
* regions: us-central1
* ```
*
* ### Ml Model Full
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const _default = new gcp.ml.EngineModel("default", {
* name: "default",
* description: "My model",
* regions: "us-central1",
* labels: {
* my_model: "foo",
* },
* onlinePredictionLogging: true,
* onlinePredictionConsoleLogging: true,
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* default = gcp.ml.EngineModel("default",
* name="default",
* description="My model",
* regions="us-central1",
* labels={
* "my_model": "foo",
* },
* online_prediction_logging=True,
* online_prediction_console_logging=True)
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var @default = new Gcp.ML.EngineModel("default", new()
* {
* Name = "default",
* Description = "My model",
* Regions = "us-central1",
* Labels =
* {
* { "my_model", "foo" },
* },
* OnlinePredictionLogging = true,
* OnlinePredictionConsoleLogging = true,
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/ml"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
* Name: pulumi.String("default"),
* Description: pulumi.String("My model"),
* Regions: pulumi.String("us-central1"),
* Labels: pulumi.StringMap{
* "my_model": pulumi.String("foo"),
* },
* OnlinePredictionLogging: pulumi.Bool(true),
* OnlinePredictionConsoleLogging: pulumi.Bool(true),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.gcp.ml.EngineModel;
* import com.pulumi.gcp.ml.EngineModelArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var default_ = new EngineModel("default", EngineModelArgs.builder()
* .name("default")
* .description("My model")
* .regions("us-central1")
* .labels(Map.of("my_model", "foo"))
* .onlinePredictionLogging(true)
* .onlinePredictionConsoleLogging(true)
* .build());
* }
* }
* ```
* ```yaml
* resources:
* default:
* type: gcp:ml:EngineModel
* properties:
* name: default
* description: My model
* regions: us-central1
* labels:
* my_model: foo
* onlinePredictionLogging: true
* onlinePredictionConsoleLogging: true
* ```
*
* ## Import
* Model can be imported using any of these accepted formats:
* * `projects/{{project}}/models/{{name}}`
* * `{{project}}/{{name}}`
* * `{{name}}`
* When using the `pulumi import` command, Model can be imported using one of the formats above. For example:
* ```sh
* $ pulumi import gcp:ml/engineModel:EngineModel default projects/{{project}}/models/{{name}}
* ```
* ```sh
* $ pulumi import gcp:ml/engineModel:EngineModel default {{project}}/{{name}}
* ```
* ```sh
* $ pulumi import gcp:ml/engineModel:EngineModel default {{name}}
* ```
*/
public class EngineModel internal constructor(
override val javaResource: com.pulumi.gcp.ml.EngineModel,
) : KotlinCustomResource(javaResource, EngineModelMapper) {
/**
* The default version of the model. This version will be used to handle
* prediction requests that do not specify a version.
* Structure is documented below.
*/
public val defaultVersion: Output?
get() = javaResource.defaultVersion().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> toKotlin(args0) })
}).orElse(null)
})
/**
* The description specified for the model when it was created.
*/
public val description: Output?
get() = javaResource.description().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
*/
public val effectiveLabels: Output>
get() = javaResource.effectiveLabels().applyValue({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
})
/**
* One or more labels that you can add, to organize your models.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
* Please refer to the field `effective_labels` for all of the labels present on the resource.
*/
public val labels: Output>?
get() = javaResource.labels().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
/**
* The name specified for the model.
* - - -
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
*/
public val onlinePredictionConsoleLogging: Output?
get() = javaResource.onlinePredictionConsoleLogging().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* If true, online prediction access logs are sent to StackDriver Logging.
*/
public val onlinePredictionLogging: Output?
get() = javaResource.onlinePredictionLogging().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The ID of the project in which the resource belongs.
* If it is not provided, the provider project is used.
*/
public val project: Output
get() = javaResource.project().applyValue({ args0 -> args0 })
/**
* The combination of labels configured directly on the resource
* and default labels configured on the provider.
*/
public val pulumiLabels: Output>
get() = javaResource.pulumiLabels().applyValue({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
})
/**
* The list of regions where the model is going to be deployed.
* Currently only one region per model is supported
*/
public val regions: Output?
get() = javaResource.regions().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
}
public object EngineModelMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.gcp.ml.EngineModel::class == javaResource::class
override fun map(javaResource: Resource): EngineModel = EngineModel(
javaResource as
com.pulumi.gcp.ml.EngineModel,
)
}
/**
* @see [EngineModel].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [EngineModel].
*/
public suspend fun engineModel(name: String, block: suspend EngineModelResourceBuilder.() -> Unit): EngineModel {
val builder = EngineModelResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [EngineModel].
* @param name The _unique_ name of the resulting resource.
*/
public fun engineModel(name: String): EngineModel {
val builder = EngineModelResourceBuilder()
builder.name(name)
return builder.build()
}
