gcp.colab.NotebookExecution
Explore with Pulumi AI
‘An instance of a notebook Execution’
To get more information about NotebookExecution, see:
- API documentation
- How-to Guides
Example Usage
Colab Notebook Execution Basic
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as std from "@pulumi/std";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
    name: "runtime-template-name",
    displayName: "Runtime template",
    location: "us-central1",
    machineSpec: {
        machineType: "e2-standard-4",
    },
    networkSpec: {
        enableInternetAccess: true,
    },
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
    name: "my_bucket",
    location: "US",
    forceDestroy: true,
    uniformBucketLevelAccess: true,
});
const notebook_execution = new gcp.colab.NotebookExecution("notebook-execution", {
    displayName: "Notebook execution basic",
    location: "us-central1",
    directNotebookSource: {
        content: std.base64encode({
            input: `    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\\"Hello, World!\\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
`,
        }).then(invoke => invoke.result),
    },
    notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
    gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
    serviceAccount: "my@service-account.com",
}, {
    dependsOn: [
        myRuntimeTemplate,
        outputBucket,
    ],
});
import pulumi
import pulumi_gcp as gcp
import pulumi_std as std
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
    name="runtime-template-name",
    display_name="Runtime template",
    location="us-central1",
    machine_spec={
        "machine_type": "e2-standard-4",
    },
    network_spec={
        "enable_internet_access": True,
    })
output_bucket = gcp.storage.Bucket("output_bucket",
    name="my_bucket",
    location="US",
    force_destroy=True,
    uniform_bucket_level_access=True)
notebook_execution = gcp.colab.NotebookExecution("notebook-execution",
    display_name="Notebook execution basic",
    location="us-central1",
    direct_notebook_source={
        "content": std.base64encode(input="""    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
""").result,
    },
    notebook_runtime_template_resource_name=pulumi.Output.all(
        project=my_runtime_template.project,
        location=my_runtime_template.location,
        name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
    gcs_output_uri=output_bucket.name.apply(lambda name: f"gs://{name}"),
    service_account="my@service-account.com",
    opts = pulumi.ResourceOptions(depends_on=[
            my_runtime_template,
            output_bucket,
        ]))
package main
import (
	"fmt"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
	"github.com/pulumi/pulumi-std/sdk/go/std"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
			Name:        pulumi.String("runtime-template-name"),
			DisplayName: pulumi.String("Runtime template"),
			Location:    pulumi.String("us-central1"),
			MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
				MachineType: pulumi.String("e2-standard-4"),
			},
			NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
				EnableInternetAccess: pulumi.Bool(true),
			},
		})
		if err != nil {
			return err
		}
		outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
			Name:                     pulumi.String("my_bucket"),
			Location:                 pulumi.String("US"),
			ForceDestroy:             pulumi.Bool(true),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		invokeBase64encode, err := std.Base64encode(ctx, &std.Base64encodeArgs{
			Input: `    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
`,
		}, nil)
		if err != nil {
			return err
		}
		_, err = colab.NewNotebookExecution(ctx, "notebook-execution", &colab.NotebookExecutionArgs{
			DisplayName: pulumi.String("Notebook execution basic"),
			Location:    pulumi.String("us-central1"),
			DirectNotebookSource: &colab.NotebookExecutionDirectNotebookSourceArgs{
				Content: pulumi.String(invokeBase64encode.Result),
			},
			NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
				project := _args[0].(string)
				location := _args[1].(string)
				name := _args[2].(string)
				return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
			}).(pulumi.StringOutput),
			GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
				return fmt.Sprintf("gs://%v", name), nil
			}).(pulumi.StringOutput),
			ServiceAccount: pulumi.String("my@service-account.com"),
		}, pulumi.DependsOn([]pulumi.Resource{
			myRuntimeTemplate,
			outputBucket,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
using Std = Pulumi.Std;
return await Deployment.RunAsync(() => 
{
    var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
    {
        Name = "runtime-template-name",
        DisplayName = "Runtime template",
        Location = "us-central1",
        MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
        {
            MachineType = "e2-standard-4",
        },
        NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
        {
            EnableInternetAccess = true,
        },
    });
    var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
    {
        Name = "my_bucket",
        Location = "US",
        ForceDestroy = true,
        UniformBucketLevelAccess = true,
    });
    var notebook_execution = new Gcp.Colab.NotebookExecution("notebook-execution", new()
    {
        DisplayName = "Notebook execution basic",
        Location = "us-central1",
        DirectNotebookSource = new Gcp.Colab.Inputs.NotebookExecutionDirectNotebookSourceArgs
        {
            Content = Std.Base64encode.Invoke(new()
            {
                Input = @"    {
      ""cells"": [
        {
          ""cell_type"": ""code"",
          ""execution_count"": null,
          ""metadata"": {},
          ""outputs"": [],
          ""source"": [
            ""print(\""Hello, World!\"")""
          ]
        }
      ],
      ""metadata"": {
        ""kernelspec"": {
          ""display_name"": ""Python 3"",
          ""language"": ""python"",
          ""name"": ""python3""
        },
        ""language_info"": {
          ""codemirror_mode"": {
            ""name"": ""ipython"",
            ""version"": 3
          },
          ""file_extension"": "".py"",
          ""mimetype"": ""text/x-python"",
          ""name"": ""python"",
          ""nbconvert_exporter"": ""python"",
          ""pygments_lexer"": ""ipython3"",
          ""version"": ""3.8.5""
        }
      },
      ""nbformat"": 4,
      ""nbformat_minor"": 4
    }
",
            }).Apply(invoke => invoke.Result),
        },
        NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
        {
            var project = values.Item1;
            var location = values.Item2;
            var name = values.Item3;
            return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
        }),
        GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
        ServiceAccount = "my@service-account.com",
    }, new CustomResourceOptions
    {
        DependsOn =
        {
            myRuntimeTemplate,
            outputBucket,
        },
    });
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.colab.NotebookExecution;
import com.pulumi.gcp.colab.NotebookExecutionArgs;
import com.pulumi.gcp.colab.inputs.NotebookExecutionDirectNotebookSourceArgs;
import com.pulumi.resources.CustomResourceOptions;
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 myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
            .name("runtime-template-name")
            .displayName("Runtime template")
            .location("us-central1")
            .machineSpec(RuntimeTemplateMachineSpecArgs.builder()
                .machineType("e2-standard-4")
                .build())
            .networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
                .enableInternetAccess(true)
                .build())
            .build());
        var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
            .name("my_bucket")
            .location("US")
            .forceDestroy(true)
            .uniformBucketLevelAccess(true)
            .build());
        var notebook_execution = new NotebookExecution("notebook-execution", NotebookExecutionArgs.builder()
            .displayName("Notebook execution basic")
            .location("us-central1")
            .directNotebookSource(NotebookExecutionDirectNotebookSourceArgs.builder()
                .content(StdFunctions.base64encode(Base64encodeArgs.builder()
                    .input("""
    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
                    """)
                    .build()).result())
                .build())
            .notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
                var project = values.t1;
                var location = values.t2;
                var name = values.t3;
                return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
            }))
            .gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
            .serviceAccount("my@service-account.com")
            .build(), CustomResourceOptions.builder()
                .dependsOn(                
                    myRuntimeTemplate,
                    outputBucket)
                .build());
    }
}
resources:
  myRuntimeTemplate:
    type: gcp:colab:RuntimeTemplate
    name: my_runtime_template
    properties:
      name: runtime-template-name
      displayName: Runtime template
      location: us-central1
      machineSpec:
        machineType: e2-standard-4
      networkSpec:
        enableInternetAccess: true
  outputBucket:
    type: gcp:storage:Bucket
    name: output_bucket
    properties:
      name: my_bucket
      location: US
      forceDestroy: true
      uniformBucketLevelAccess: true
  notebook-execution:
    type: gcp:colab:NotebookExecution
    properties:
      displayName: Notebook execution basic
      location: us-central1
      directNotebookSource:
        content:
          fn::invoke:
            function: std:base64encode
            arguments:
              input: |2
                    {
                      "cells": [
                        {
                          "cell_type": "code",
                          "execution_count": null,
                          "metadata": {},
                          "outputs": [],
                          "source": [
                            "print(\"Hello, World!\")"
                          ]
                        }
                      ],
                      "metadata": {
                        "kernelspec": {
                          "display_name": "Python 3",
                          "language": "python",
                          "name": "python3"
                        },
                        "language_info": {
                          "codemirror_mode": {
                            "name": "ipython",
                            "version": 3
                          },
                          "file_extension": ".py",
                          "mimetype": "text/x-python",
                          "name": "python",
                          "nbconvert_exporter": "python",
                          "pygments_lexer": "ipython3",
                          "version": "3.8.5"
                        }
                      },
                      "nbformat": 4,
                      "nbformat_minor": 4
                    }
            return: result
      notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
      gcsOutputUri: gs://${outputBucket.name}
      serviceAccount: my@service-account.com
    options:
      dependsOn:
        - ${myRuntimeTemplate}
        - ${outputBucket}
Colab Notebook Execution Full
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
    name: "runtime-template-name",
    displayName: "Runtime template",
    location: "us-central1",
    machineSpec: {
        machineType: "e2-standard-4",
    },
    networkSpec: {
        enableInternetAccess: true,
    },
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
    name: "my_bucket",
    location: "US",
    forceDestroy: true,
    uniformBucketLevelAccess: true,
});
const notebook = new gcp.storage.BucketObject("notebook", {
    name: "hello_world.ipynb",
    bucket: outputBucket.name,
    content: `    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\\"Hello, World!\\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
`,
});
const notebook_execution = new gcp.colab.NotebookExecution("notebook-execution", {
    notebookExecutionJobId: "colab-notebook-execution",
    displayName: "Notebook execution full",
    location: "us-central1",
    executionTimeout: "86400s",
    gcsNotebookSource: {
        uri: pulumi.interpolate`gs://${notebook.bucket}/${notebook.name}`,
        generation: notebook.generation,
    },
    serviceAccount: "my@service-account.com",
    gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
    notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
}, {
    dependsOn: [
        notebook,
        outputBucket,
        myRuntimeTemplate,
    ],
});
import pulumi
import pulumi_gcp as gcp
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
    name="runtime-template-name",
    display_name="Runtime template",
    location="us-central1",
    machine_spec={
        "machine_type": "e2-standard-4",
    },
    network_spec={
        "enable_internet_access": True,
    })
output_bucket = gcp.storage.Bucket("output_bucket",
    name="my_bucket",
    location="US",
    force_destroy=True,
    uniform_bucket_level_access=True)
notebook = gcp.storage.BucketObject("notebook",
    name="hello_world.ipynb",
    bucket=output_bucket.name,
    content="""    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
""")
notebook_execution = gcp.colab.NotebookExecution("notebook-execution",
    notebook_execution_job_id="colab-notebook-execution",
    display_name="Notebook execution full",
    location="us-central1",
    execution_timeout="86400s",
    gcs_notebook_source={
        "uri": pulumi.Output.all(
            bucket=notebook.bucket,
            name=notebook.name
).apply(lambda resolved_outputs: f"gs://{resolved_outputs['bucket']}/{resolved_outputs['name']}")
,
        "generation": notebook.generation,
    },
    service_account="my@service-account.com",
    gcs_output_uri=output_bucket.name.apply(lambda name: f"gs://{name}"),
    notebook_runtime_template_resource_name=pulumi.Output.all(
        project=my_runtime_template.project,
        location=my_runtime_template.location,
        name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
    opts = pulumi.ResourceOptions(depends_on=[
            notebook,
            output_bucket,
            my_runtime_template,
        ]))
package main
import (
	"fmt"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
			Name:        pulumi.String("runtime-template-name"),
			DisplayName: pulumi.String("Runtime template"),
			Location:    pulumi.String("us-central1"),
			MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
				MachineType: pulumi.String("e2-standard-4"),
			},
			NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
				EnableInternetAccess: pulumi.Bool(true),
			},
		})
		if err != nil {
			return err
		}
		outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
			Name:                     pulumi.String("my_bucket"),
			Location:                 pulumi.String("US"),
			ForceDestroy:             pulumi.Bool(true),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		notebook, err := storage.NewBucketObject(ctx, "notebook", &storage.BucketObjectArgs{
			Name:   pulumi.String("hello_world.ipynb"),
			Bucket: outputBucket.Name,
			Content: pulumi.String(`    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
`),
		})
		if err != nil {
			return err
		}
		_, err = colab.NewNotebookExecution(ctx, "notebook-execution", &colab.NotebookExecutionArgs{
			NotebookExecutionJobId: pulumi.String("colab-notebook-execution"),
			DisplayName:            pulumi.String("Notebook execution full"),
			Location:               pulumi.String("us-central1"),
			ExecutionTimeout:       pulumi.String("86400s"),
			GcsNotebookSource: &colab.NotebookExecutionGcsNotebookSourceArgs{
				Uri: pulumi.All(notebook.Bucket, notebook.Name).ApplyT(func(_args []interface{}) (string, error) {
					bucket := _args[0].(string)
					name := _args[1].(string)
					return fmt.Sprintf("gs://%v/%v", bucket, name), nil
				}).(pulumi.StringOutput),
				Generation: notebook.Generation,
			},
			ServiceAccount: pulumi.String("my@service-account.com"),
			GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
				return fmt.Sprintf("gs://%v", name), nil
			}).(pulumi.StringOutput),
			NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
				project := _args[0].(string)
				location := _args[1].(string)
				name := _args[2].(string)
				return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
			}).(pulumi.StringOutput),
		}, pulumi.DependsOn([]pulumi.Resource{
			notebook,
			outputBucket,
			myRuntimeTemplate,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() => 
{
    var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
    {
        Name = "runtime-template-name",
        DisplayName = "Runtime template",
        Location = "us-central1",
        MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
        {
            MachineType = "e2-standard-4",
        },
        NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
        {
            EnableInternetAccess = true,
        },
    });
    var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
    {
        Name = "my_bucket",
        Location = "US",
        ForceDestroy = true,
        UniformBucketLevelAccess = true,
    });
    var notebook = new Gcp.Storage.BucketObject("notebook", new()
    {
        Name = "hello_world.ipynb",
        Bucket = outputBucket.Name,
        Content = @"    {
      ""cells"": [
        {
          ""cell_type"": ""code"",
          ""execution_count"": null,
          ""metadata"": {},
          ""outputs"": [],
          ""source"": [
            ""print(\""Hello, World!\"")""
          ]
        }
      ],
      ""metadata"": {
        ""kernelspec"": {
          ""display_name"": ""Python 3"",
          ""language"": ""python"",
          ""name"": ""python3""
        },
        ""language_info"": {
          ""codemirror_mode"": {
            ""name"": ""ipython"",
            ""version"": 3
          },
          ""file_extension"": "".py"",
          ""mimetype"": ""text/x-python"",
          ""name"": ""python"",
          ""nbconvert_exporter"": ""python"",
          ""pygments_lexer"": ""ipython3"",
          ""version"": ""3.8.5""
        }
      },
      ""nbformat"": 4,
      ""nbformat_minor"": 4
    }
",
    });
    var notebook_execution = new Gcp.Colab.NotebookExecution("notebook-execution", new()
    {
        NotebookExecutionJobId = "colab-notebook-execution",
        DisplayName = "Notebook execution full",
        Location = "us-central1",
        ExecutionTimeout = "86400s",
        GcsNotebookSource = new Gcp.Colab.Inputs.NotebookExecutionGcsNotebookSourceArgs
        {
            Uri = Output.Tuple(notebook.Bucket, notebook.Name).Apply(values =>
            {
                var bucket = values.Item1;
                var name = values.Item2;
                return $"gs://{bucket}/{name}";
            }),
            Generation = notebook.Generation,
        },
        ServiceAccount = "my@service-account.com",
        GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
        NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
        {
            var project = values.Item1;
            var location = values.Item2;
            var name = values.Item3;
            return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
        }),
    }, new CustomResourceOptions
    {
        DependsOn =
        {
            notebook,
            outputBucket,
            myRuntimeTemplate,
        },
    });
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.storage.BucketObject;
import com.pulumi.gcp.storage.BucketObjectArgs;
import com.pulumi.gcp.colab.NotebookExecution;
import com.pulumi.gcp.colab.NotebookExecutionArgs;
import com.pulumi.gcp.colab.inputs.NotebookExecutionGcsNotebookSourceArgs;
import com.pulumi.resources.CustomResourceOptions;
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 myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
            .name("runtime-template-name")
            .displayName("Runtime template")
            .location("us-central1")
            .machineSpec(RuntimeTemplateMachineSpecArgs.builder()
                .machineType("e2-standard-4")
                .build())
            .networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
                .enableInternetAccess(true)
                .build())
            .build());
        var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
            .name("my_bucket")
            .location("US")
            .forceDestroy(true)
            .uniformBucketLevelAccess(true)
            .build());
        var notebook = new BucketObject("notebook", BucketObjectArgs.builder()
            .name("hello_world.ipynb")
            .bucket(outputBucket.name())
            .content("""
    {
      "cells": [
        {
          "cell_type": "code",
          "execution_count": null,
          "metadata": {},
          "outputs": [],
          "source": [
            "print(\"Hello, World!\")"
          ]
        }
      ],
      "metadata": {
        "kernelspec": {
          "display_name": "Python 3",
          "language": "python",
          "name": "python3"
        },
        "language_info": {
          "codemirror_mode": {
            "name": "ipython",
            "version": 3
          },
          "file_extension": ".py",
          "mimetype": "text/x-python",
          "name": "python",
          "nbconvert_exporter": "python",
          "pygments_lexer": "ipython3",
          "version": "3.8.5"
        }
      },
      "nbformat": 4,
      "nbformat_minor": 4
    }
            """)
            .build());
        var notebook_execution = new NotebookExecution("notebook-execution", NotebookExecutionArgs.builder()
            .notebookExecutionJobId("colab-notebook-execution")
            .displayName("Notebook execution full")
            .location("us-central1")
            .executionTimeout("86400s")
            .gcsNotebookSource(NotebookExecutionGcsNotebookSourceArgs.builder()
                .uri(Output.tuple(notebook.bucket(), notebook.name()).applyValue(values -> {
                    var bucket = values.t1;
                    var name = values.t2;
                    return String.format("gs://%s/%s", bucket,name);
                }))
                .generation(notebook.generation())
                .build())
            .serviceAccount("my@service-account.com")
            .gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
            .notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
                var project = values.t1;
                var location = values.t2;
                var name = values.t3;
                return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
            }))
            .build(), CustomResourceOptions.builder()
                .dependsOn(                
                    notebook,
                    outputBucket,
                    myRuntimeTemplate)
                .build());
    }
}
resources:
  myRuntimeTemplate:
    type: gcp:colab:RuntimeTemplate
    name: my_runtime_template
    properties:
      name: runtime-template-name
      displayName: Runtime template
      location: us-central1
      machineSpec:
        machineType: e2-standard-4
      networkSpec:
        enableInternetAccess: true
  outputBucket:
    type: gcp:storage:Bucket
    name: output_bucket
    properties:
      name: my_bucket
      location: US
      forceDestroy: true
      uniformBucketLevelAccess: true
  notebook:
    type: gcp:storage:BucketObject
    properties:
      name: hello_world.ipynb
      bucket: ${outputBucket.name}
      content: |2
            {
              "cells": [
                {
                  "cell_type": "code",
                  "execution_count": null,
                  "metadata": {},
                  "outputs": [],
                  "source": [
                    "print(\"Hello, World!\")"
                  ]
                }
              ],
              "metadata": {
                "kernelspec": {
                  "display_name": "Python 3",
                  "language": "python",
                  "name": "python3"
                },
                "language_info": {
                  "codemirror_mode": {
                    "name": "ipython",
                    "version": 3
                  },
                  "file_extension": ".py",
                  "mimetype": "text/x-python",
                  "name": "python",
                  "nbconvert_exporter": "python",
                  "pygments_lexer": "ipython3",
                  "version": "3.8.5"
                }
              },
              "nbformat": 4,
              "nbformat_minor": 4
            }
  notebook-execution:
    type: gcp:colab:NotebookExecution
    properties:
      notebookExecutionJobId: colab-notebook-execution
      displayName: Notebook execution full
      location: us-central1
      executionTimeout: 86400s
      gcsNotebookSource:
        uri: gs://${notebook.bucket}/${notebook.name}
        generation: ${notebook.generation}
      serviceAccount: my@service-account.com
      gcsOutputUri: gs://${outputBucket.name}
      notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
    options:
      dependsOn:
        - ${notebook}
        - ${outputBucket}
        - ${myRuntimeTemplate}
Colab Notebook Execution Dataform
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
    name: "runtime-template-name",
    displayName: "Runtime template",
    location: "us-central1",
    machineSpec: {
        machineType: "e2-standard-4",
    },
    networkSpec: {
        enableInternetAccess: true,
    },
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
    name: "my_bucket",
    location: "US",
    forceDestroy: true,
    uniformBucketLevelAccess: true,
});
const secret = new gcp.secretmanager.Secret("secret", {
    secretId: "secret",
    replication: {
        auto: {},
    },
});
const secretVersion = new gcp.secretmanager.SecretVersion("secret_version", {
    secret: secret.id,
    secretData: "secret-data",
});
const dataformRepository = new gcp.dataform.Repository("dataform_repository", {
    name: "dataform-repository",
    displayName: "dataform_repository",
    npmrcEnvironmentVariablesSecretVersion: secretVersion.id,
    kmsKeyName: "my-crypto-key",
    labels: {
        label_foo1: "label-bar1",
    },
    gitRemoteSettings: {
        url: "https://github.com/OWNER/REPOSITORY.git",
        defaultBranch: "main",
        authenticationTokenSecretVersion: secretVersion.id,
    },
    workspaceCompilationOverrides: {
        defaultDatabase: "database",
        schemaSuffix: "_suffix",
        tablePrefix: "prefix_",
    },
});
const notebook_execution = new gcp.colab.NotebookExecution("notebook-execution", {
    displayName: "Notebook execution Dataform",
    location: "us-central1",
    dataformRepositorySource: {
        commitSha: "randomsha123",
        dataformRepositoryResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/repositories/${dataformRepository.name}`,
    },
    notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
    gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
    serviceAccount: "my@service-account.com",
}, {
    dependsOn: [
        myRuntimeTemplate,
        outputBucket,
        secretVersion,
        dataformRepository,
        secret,
    ],
});
import pulumi
import pulumi_gcp as gcp
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
    name="runtime-template-name",
    display_name="Runtime template",
    location="us-central1",
    machine_spec={
        "machine_type": "e2-standard-4",
    },
    network_spec={
        "enable_internet_access": True,
    })
output_bucket = gcp.storage.Bucket("output_bucket",
    name="my_bucket",
    location="US",
    force_destroy=True,
    uniform_bucket_level_access=True)
secret = gcp.secretmanager.Secret("secret",
    secret_id="secret",
    replication={
        "auto": {},
    })
secret_version = gcp.secretmanager.SecretVersion("secret_version",
    secret=secret.id,
    secret_data="secret-data")
dataform_repository = gcp.dataform.Repository("dataform_repository",
    name="dataform-repository",
    display_name="dataform_repository",
    npmrc_environment_variables_secret_version=secret_version.id,
    kms_key_name="my-crypto-key",
    labels={
        "label_foo1": "label-bar1",
    },
    git_remote_settings={
        "url": "https://github.com/OWNER/REPOSITORY.git",
        "default_branch": "main",
        "authentication_token_secret_version": secret_version.id,
    },
    workspace_compilation_overrides={
        "default_database": "database",
        "schema_suffix": "_suffix",
        "table_prefix": "prefix_",
    })
notebook_execution = gcp.colab.NotebookExecution("notebook-execution",
    display_name="Notebook execution Dataform",
    location="us-central1",
    dataform_repository_source={
        "commit_sha": "randomsha123",
        "dataform_repository_resource_name": pulumi.Output.all(
            project=my_runtime_template.project,
            location=my_runtime_template.location,
            name=dataform_repository.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/repositories/{resolved_outputs['name']}")
,
    },
    notebook_runtime_template_resource_name=pulumi.Output.all(
        project=my_runtime_template.project,
        location=my_runtime_template.location,
        name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
    gcs_output_uri=output_bucket.name.apply(lambda name: f"gs://{name}"),
    service_account="my@service-account.com",
    opts = pulumi.ResourceOptions(depends_on=[
            my_runtime_template,
            output_bucket,
            secret_version,
            dataform_repository,
            secret,
        ]))
package main
import (
	"fmt"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/dataform"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/secretmanager"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
			Name:        pulumi.String("runtime-template-name"),
			DisplayName: pulumi.String("Runtime template"),
			Location:    pulumi.String("us-central1"),
			MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
				MachineType: pulumi.String("e2-standard-4"),
			},
			NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
				EnableInternetAccess: pulumi.Bool(true),
			},
		})
		if err != nil {
			return err
		}
		outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
			Name:                     pulumi.String("my_bucket"),
			Location:                 pulumi.String("US"),
			ForceDestroy:             pulumi.Bool(true),
			UniformBucketLevelAccess: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		secret, err := secretmanager.NewSecret(ctx, "secret", &secretmanager.SecretArgs{
			SecretId: pulumi.String("secret"),
			Replication: &secretmanager.SecretReplicationArgs{
				Auto: &secretmanager.SecretReplicationAutoArgs{},
			},
		})
		if err != nil {
			return err
		}
		secretVersion, err := secretmanager.NewSecretVersion(ctx, "secret_version", &secretmanager.SecretVersionArgs{
			Secret:     secret.ID(),
			SecretData: pulumi.String("secret-data"),
		})
		if err != nil {
			return err
		}
		dataformRepository, err := dataform.NewRepository(ctx, "dataform_repository", &dataform.RepositoryArgs{
			Name:                                   pulumi.String("dataform-repository"),
			DisplayName:                            pulumi.String("dataform_repository"),
			NpmrcEnvironmentVariablesSecretVersion: secretVersion.ID(),
			KmsKeyName:                             pulumi.String("my-crypto-key"),
			Labels: pulumi.StringMap{
				"label_foo1": pulumi.String("label-bar1"),
			},
			GitRemoteSettings: &dataform.RepositoryGitRemoteSettingsArgs{
				Url:                              pulumi.String("https://github.com/OWNER/REPOSITORY.git"),
				DefaultBranch:                    pulumi.String("main"),
				AuthenticationTokenSecretVersion: secretVersion.ID(),
			},
			WorkspaceCompilationOverrides: &dataform.RepositoryWorkspaceCompilationOverridesArgs{
				DefaultDatabase: pulumi.String("database"),
				SchemaSuffix:    pulumi.String("_suffix"),
				TablePrefix:     pulumi.String("prefix_"),
			},
		})
		if err != nil {
			return err
		}
		_, err = colab.NewNotebookExecution(ctx, "notebook-execution", &colab.NotebookExecutionArgs{
			DisplayName: pulumi.String("Notebook execution Dataform"),
			Location:    pulumi.String("us-central1"),
			DataformRepositorySource: &colab.NotebookExecutionDataformRepositorySourceArgs{
				CommitSha: pulumi.String("randomsha123"),
				DataformRepositoryResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, dataformRepository.Name).ApplyT(func(_args []interface{}) (string, error) {
					project := _args[0].(string)
					location := _args[1].(string)
					name := _args[2].(string)
					return fmt.Sprintf("projects/%v/locations/%v/repositories/%v", project, location, name), nil
				}).(pulumi.StringOutput),
			},
			NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
				project := _args[0].(string)
				location := _args[1].(string)
				name := _args[2].(string)
				return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
			}).(pulumi.StringOutput),
			GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
				return fmt.Sprintf("gs://%v", name), nil
			}).(pulumi.StringOutput),
			ServiceAccount: pulumi.String("my@service-account.com"),
		}, pulumi.DependsOn([]pulumi.Resource{
			myRuntimeTemplate,
			outputBucket,
			secretVersion,
			dataformRepository,
			secret,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() => 
{
    var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
    {
        Name = "runtime-template-name",
        DisplayName = "Runtime template",
        Location = "us-central1",
        MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
        {
            MachineType = "e2-standard-4",
        },
        NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
        {
            EnableInternetAccess = true,
        },
    });
    var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
    {
        Name = "my_bucket",
        Location = "US",
        ForceDestroy = true,
        UniformBucketLevelAccess = true,
    });
    var secret = new Gcp.SecretManager.Secret("secret", new()
    {
        SecretId = "secret",
        Replication = new Gcp.SecretManager.Inputs.SecretReplicationArgs
        {
            Auto = null,
        },
    });
    var secretVersion = new Gcp.SecretManager.SecretVersion("secret_version", new()
    {
        Secret = secret.Id,
        SecretData = "secret-data",
    });
    var dataformRepository = new Gcp.Dataform.Repository("dataform_repository", new()
    {
        Name = "dataform-repository",
        DisplayName = "dataform_repository",
        NpmrcEnvironmentVariablesSecretVersion = secretVersion.Id,
        KmsKeyName = "my-crypto-key",
        Labels = 
        {
            { "label_foo1", "label-bar1" },
        },
        GitRemoteSettings = new Gcp.Dataform.Inputs.RepositoryGitRemoteSettingsArgs
        {
            Url = "https://github.com/OWNER/REPOSITORY.git",
            DefaultBranch = "main",
            AuthenticationTokenSecretVersion = secretVersion.Id,
        },
        WorkspaceCompilationOverrides = new Gcp.Dataform.Inputs.RepositoryWorkspaceCompilationOverridesArgs
        {
            DefaultDatabase = "database",
            SchemaSuffix = "_suffix",
            TablePrefix = "prefix_",
        },
    });
    var notebook_execution = new Gcp.Colab.NotebookExecution("notebook-execution", new()
    {
        DisplayName = "Notebook execution Dataform",
        Location = "us-central1",
        DataformRepositorySource = new Gcp.Colab.Inputs.NotebookExecutionDataformRepositorySourceArgs
        {
            CommitSha = "randomsha123",
            DataformRepositoryResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, dataformRepository.Name).Apply(values =>
            {
                var project = values.Item1;
                var location = values.Item2;
                var name = values.Item3;
                return $"projects/{project}/locations/{location}/repositories/{name}";
            }),
        },
        NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
        {
            var project = values.Item1;
            var location = values.Item2;
            var name = values.Item3;
            return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
        }),
        GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
        ServiceAccount = "my@service-account.com",
    }, new CustomResourceOptions
    {
        DependsOn =
        {
            myRuntimeTemplate,
            outputBucket,
            secretVersion,
            dataformRepository,
            secret,
        },
    });
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.secretmanager.Secret;
import com.pulumi.gcp.secretmanager.SecretArgs;
import com.pulumi.gcp.secretmanager.inputs.SecretReplicationArgs;
import com.pulumi.gcp.secretmanager.inputs.SecretReplicationAutoArgs;
import com.pulumi.gcp.secretmanager.SecretVersion;
import com.pulumi.gcp.secretmanager.SecretVersionArgs;
import com.pulumi.gcp.dataform.Repository;
import com.pulumi.gcp.dataform.RepositoryArgs;
import com.pulumi.gcp.dataform.inputs.RepositoryGitRemoteSettingsArgs;
import com.pulumi.gcp.dataform.inputs.RepositoryWorkspaceCompilationOverridesArgs;
import com.pulumi.gcp.colab.NotebookExecution;
import com.pulumi.gcp.colab.NotebookExecutionArgs;
import com.pulumi.gcp.colab.inputs.NotebookExecutionDataformRepositorySourceArgs;
import com.pulumi.resources.CustomResourceOptions;
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 myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
            .name("runtime-template-name")
            .displayName("Runtime template")
            .location("us-central1")
            .machineSpec(RuntimeTemplateMachineSpecArgs.builder()
                .machineType("e2-standard-4")
                .build())
            .networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
                .enableInternetAccess(true)
                .build())
            .build());
        var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
            .name("my_bucket")
            .location("US")
            .forceDestroy(true)
            .uniformBucketLevelAccess(true)
            .build());
        var secret = new Secret("secret", SecretArgs.builder()
            .secretId("secret")
            .replication(SecretReplicationArgs.builder()
                .auto()
                .build())
            .build());
        var secretVersion = new SecretVersion("secretVersion", SecretVersionArgs.builder()
            .secret(secret.id())
            .secretData("secret-data")
            .build());
        var dataformRepository = new Repository("dataformRepository", RepositoryArgs.builder()
            .name("dataform-repository")
            .displayName("dataform_repository")
            .npmrcEnvironmentVariablesSecretVersion(secretVersion.id())
            .kmsKeyName("my-crypto-key")
            .labels(Map.of("label_foo1", "label-bar1"))
            .gitRemoteSettings(RepositoryGitRemoteSettingsArgs.builder()
                .url("https://github.com/OWNER/REPOSITORY.git")
                .defaultBranch("main")
                .authenticationTokenSecretVersion(secretVersion.id())
                .build())
            .workspaceCompilationOverrides(RepositoryWorkspaceCompilationOverridesArgs.builder()
                .defaultDatabase("database")
                .schemaSuffix("_suffix")
                .tablePrefix("prefix_")
                .build())
            .build());
        var notebook_execution = new NotebookExecution("notebook-execution", NotebookExecutionArgs.builder()
            .displayName("Notebook execution Dataform")
            .location("us-central1")
            .dataformRepositorySource(NotebookExecutionDataformRepositorySourceArgs.builder()
                .commitSha("randomsha123")
                .dataformRepositoryResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), dataformRepository.name()).applyValue(values -> {
                    var project = values.t1;
                    var location = values.t2;
                    var name = values.t3;
                    return String.format("projects/%s/locations/%s/repositories/%s", project,location,name);
                }))
                .build())
            .notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
                var project = values.t1;
                var location = values.t2;
                var name = values.t3;
                return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
            }))
            .gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
            .serviceAccount("my@service-account.com")
            .build(), CustomResourceOptions.builder()
                .dependsOn(                
                    myRuntimeTemplate,
                    outputBucket,
                    secretVersion,
                    dataformRepository,
                    secret)
                .build());
    }
}
resources:
  myRuntimeTemplate:
    type: gcp:colab:RuntimeTemplate
    name: my_runtime_template
    properties:
      name: runtime-template-name
      displayName: Runtime template
      location: us-central1
      machineSpec:
        machineType: e2-standard-4
      networkSpec:
        enableInternetAccess: true
  outputBucket:
    type: gcp:storage:Bucket
    name: output_bucket
    properties:
      name: my_bucket
      location: US
      forceDestroy: true
      uniformBucketLevelAccess: true
  secret:
    type: gcp:secretmanager:Secret
    properties:
      secretId: secret
      replication:
        auto: {}
  secretVersion:
    type: gcp:secretmanager:SecretVersion
    name: secret_version
    properties:
      secret: ${secret.id}
      secretData: secret-data
  dataformRepository:
    type: gcp:dataform:Repository
    name: dataform_repository
    properties:
      name: dataform-repository
      displayName: dataform_repository
      npmrcEnvironmentVariablesSecretVersion: ${secretVersion.id}
      kmsKeyName: my-crypto-key
      labels:
        label_foo1: label-bar1
      gitRemoteSettings:
        url: https://github.com/OWNER/REPOSITORY.git
        defaultBranch: main
        authenticationTokenSecretVersion: ${secretVersion.id}
      workspaceCompilationOverrides:
        defaultDatabase: database
        schemaSuffix: _suffix
        tablePrefix: prefix_
  notebook-execution:
    type: gcp:colab:NotebookExecution
    properties:
      displayName: Notebook execution Dataform
      location: us-central1
      dataformRepositorySource:
        commitSha: randomsha123
        dataformRepositoryResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/repositories/${dataformRepository.name}
      notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
      gcsOutputUri: gs://${outputBucket.name}
      serviceAccount: my@service-account.com
    options:
      dependsOn:
        - ${myRuntimeTemplate}
        - ${outputBucket}
        - ${secretVersion}
        - ${dataformRepository}
        - ${secret}
Create NotebookExecution Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new NotebookExecution(name: string, args: NotebookExecutionArgs, opts?: CustomResourceOptions);@overload
def NotebookExecution(resource_name: str,
                      args: NotebookExecutionArgs,
                      opts: Optional[ResourceOptions] = None)
@overload
def NotebookExecution(resource_name: str,
                      opts: Optional[ResourceOptions] = None,
                      display_name: Optional[str] = None,
                      gcs_output_uri: Optional[str] = None,
                      location: Optional[str] = None,
                      dataform_repository_source: Optional[NotebookExecutionDataformRepositorySourceArgs] = None,
                      direct_notebook_source: Optional[NotebookExecutionDirectNotebookSourceArgs] = None,
                      execution_timeout: Optional[str] = None,
                      execution_user: Optional[str] = None,
                      gcs_notebook_source: Optional[NotebookExecutionGcsNotebookSourceArgs] = None,
                      notebook_execution_job_id: Optional[str] = None,
                      notebook_runtime_template_resource_name: Optional[str] = None,
                      project: Optional[str] = None,
                      service_account: Optional[str] = None)func NewNotebookExecution(ctx *Context, name string, args NotebookExecutionArgs, opts ...ResourceOption) (*NotebookExecution, error)public NotebookExecution(string name, NotebookExecutionArgs args, CustomResourceOptions? opts = null)
public NotebookExecution(String name, NotebookExecutionArgs args)
public NotebookExecution(String name, NotebookExecutionArgs args, CustomResourceOptions options)
type: gcp:colab:NotebookExecution
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args NotebookExecutionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args NotebookExecutionArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args NotebookExecutionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args NotebookExecutionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args NotebookExecutionArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var notebookExecutionResource = new Gcp.Colab.NotebookExecution("notebookExecutionResource", new()
{
    DisplayName = "string",
    GcsOutputUri = "string",
    Location = "string",
    DataformRepositorySource = new Gcp.Colab.Inputs.NotebookExecutionDataformRepositorySourceArgs
    {
        DataformRepositoryResourceName = "string",
        CommitSha = "string",
    },
    DirectNotebookSource = new Gcp.Colab.Inputs.NotebookExecutionDirectNotebookSourceArgs
    {
        Content = "string",
    },
    ExecutionTimeout = "string",
    ExecutionUser = "string",
    GcsNotebookSource = new Gcp.Colab.Inputs.NotebookExecutionGcsNotebookSourceArgs
    {
        Uri = "string",
        Generation = "string",
    },
    NotebookExecutionJobId = "string",
    NotebookRuntimeTemplateResourceName = "string",
    Project = "string",
    ServiceAccount = "string",
});
example, err := colab.NewNotebookExecution(ctx, "notebookExecutionResource", &colab.NotebookExecutionArgs{
	DisplayName:  pulumi.String("string"),
	GcsOutputUri: pulumi.String("string"),
	Location:     pulumi.String("string"),
	DataformRepositorySource: &colab.NotebookExecutionDataformRepositorySourceArgs{
		DataformRepositoryResourceName: pulumi.String("string"),
		CommitSha:                      pulumi.String("string"),
	},
	DirectNotebookSource: &colab.NotebookExecutionDirectNotebookSourceArgs{
		Content: pulumi.String("string"),
	},
	ExecutionTimeout: pulumi.String("string"),
	ExecutionUser:    pulumi.String("string"),
	GcsNotebookSource: &colab.NotebookExecutionGcsNotebookSourceArgs{
		Uri:        pulumi.String("string"),
		Generation: pulumi.String("string"),
	},
	NotebookExecutionJobId:              pulumi.String("string"),
	NotebookRuntimeTemplateResourceName: pulumi.String("string"),
	Project:                             pulumi.String("string"),
	ServiceAccount:                      pulumi.String("string"),
})
var notebookExecutionResource = new NotebookExecution("notebookExecutionResource", NotebookExecutionArgs.builder()
    .displayName("string")
    .gcsOutputUri("string")
    .location("string")
    .dataformRepositorySource(NotebookExecutionDataformRepositorySourceArgs.builder()
        .dataformRepositoryResourceName("string")
        .commitSha("string")
        .build())
    .directNotebookSource(NotebookExecutionDirectNotebookSourceArgs.builder()
        .content("string")
        .build())
    .executionTimeout("string")
    .executionUser("string")
    .gcsNotebookSource(NotebookExecutionGcsNotebookSourceArgs.builder()
        .uri("string")
        .generation("string")
        .build())
    .notebookExecutionJobId("string")
    .notebookRuntimeTemplateResourceName("string")
    .project("string")
    .serviceAccount("string")
    .build());
notebook_execution_resource = gcp.colab.NotebookExecution("notebookExecutionResource",
    display_name="string",
    gcs_output_uri="string",
    location="string",
    dataform_repository_source={
        "dataform_repository_resource_name": "string",
        "commit_sha": "string",
    },
    direct_notebook_source={
        "content": "string",
    },
    execution_timeout="string",
    execution_user="string",
    gcs_notebook_source={
        "uri": "string",
        "generation": "string",
    },
    notebook_execution_job_id="string",
    notebook_runtime_template_resource_name="string",
    project="string",
    service_account="string")
const notebookExecutionResource = new gcp.colab.NotebookExecution("notebookExecutionResource", {
    displayName: "string",
    gcsOutputUri: "string",
    location: "string",
    dataformRepositorySource: {
        dataformRepositoryResourceName: "string",
        commitSha: "string",
    },
    directNotebookSource: {
        content: "string",
    },
    executionTimeout: "string",
    executionUser: "string",
    gcsNotebookSource: {
        uri: "string",
        generation: "string",
    },
    notebookExecutionJobId: "string",
    notebookRuntimeTemplateResourceName: "string",
    project: "string",
    serviceAccount: "string",
});
type: gcp:colab:NotebookExecution
properties:
    dataformRepositorySource:
        commitSha: string
        dataformRepositoryResourceName: string
    directNotebookSource:
        content: string
    displayName: string
    executionTimeout: string
    executionUser: string
    gcsNotebookSource:
        generation: string
        uri: string
    gcsOutputUri: string
    location: string
    notebookExecutionJobId: string
    notebookRuntimeTemplateResourceName: string
    project: string
    serviceAccount: string
NotebookExecution Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The NotebookExecution resource accepts the following input properties:
- DisplayName string
- Required. The display name of the Notebook Execution.
- GcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- DataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- DirectNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- ExecutionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- ExecutionUser string
- The user email to run the execution as.
- GcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- NotebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- NotebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- ServiceAccount string
- The service account to run the execution as.
- DisplayName string
- Required. The display name of the Notebook Execution.
- GcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- DataformRepository NotebookSource Execution Dataform Repository Source Args 
- The Dataform Repository containing the input notebook. Structure is documented below.
- DirectNotebook NotebookSource Execution Direct Notebook Source Args 
- The content of the input notebook in ipynb format. Structure is documented below.
- ExecutionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- ExecutionUser string
- The user email to run the execution as.
- GcsNotebook NotebookSource Execution Gcs Notebook Source Args 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- NotebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- NotebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- ServiceAccount string
- The service account to run the execution as.
- displayName String
- Required. The display name of the Notebook Execution.
- gcsOutput StringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- dataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- executionTimeout String
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser String
- The user email to run the execution as.
- gcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- notebookExecution StringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime StringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount String
- The service account to run the execution as.
- displayName string
- Required. The display name of the Notebook Execution.
- gcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- dataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- executionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser string
- The user email to run the execution as.
- gcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- notebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount string
- The service account to run the execution as.
- display_name str
- Required. The display name of the Notebook Execution.
- gcs_output_ struri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location str
- The location for the resource: https://cloud.google.com/colab/docs/locations
- dataform_repository_ Notebooksource Execution Dataform Repository Source Args 
- The Dataform Repository containing the input notebook. Structure is documented below.
- direct_notebook_ Notebooksource Execution Direct Notebook Source Args 
- The content of the input notebook in ipynb format. Structure is documented below.
- execution_timeout str
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- execution_user str
- The user email to run the execution as.
- gcs_notebook_ Notebooksource Execution Gcs Notebook Source Args 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- notebook_execution_ strjob_ id 
- User specified ID for the Notebook Execution Job
- notebook_runtime_ strtemplate_ resource_ name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- service_account str
- The service account to run the execution as.
- displayName String
- Required. The display name of the Notebook Execution.
- gcsOutput StringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- dataformRepository Property MapSource 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook Property MapSource 
- The content of the input notebook in ipynb format. Structure is documented below.
- executionTimeout String
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser String
- The user email to run the execution as.
- gcsNotebook Property MapSource 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- notebookExecution StringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime StringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount String
- The service account to run the execution as.
Outputs
All input properties are implicitly available as output properties. Additionally, the NotebookExecution resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing NotebookExecution Resource
Get an existing NotebookExecution resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: NotebookExecutionState, opts?: CustomResourceOptions): NotebookExecution@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        dataform_repository_source: Optional[NotebookExecutionDataformRepositorySourceArgs] = None,
        direct_notebook_source: Optional[NotebookExecutionDirectNotebookSourceArgs] = None,
        display_name: Optional[str] = None,
        execution_timeout: Optional[str] = None,
        execution_user: Optional[str] = None,
        gcs_notebook_source: Optional[NotebookExecutionGcsNotebookSourceArgs] = None,
        gcs_output_uri: Optional[str] = None,
        location: Optional[str] = None,
        notebook_execution_job_id: Optional[str] = None,
        notebook_runtime_template_resource_name: Optional[str] = None,
        project: Optional[str] = None,
        service_account: Optional[str] = None) -> NotebookExecutionfunc GetNotebookExecution(ctx *Context, name string, id IDInput, state *NotebookExecutionState, opts ...ResourceOption) (*NotebookExecution, error)public static NotebookExecution Get(string name, Input<string> id, NotebookExecutionState? state, CustomResourceOptions? opts = null)public static NotebookExecution get(String name, Output<String> id, NotebookExecutionState state, CustomResourceOptions options)resources:  _:    type: gcp:colab:NotebookExecution    get:      id: ${id}- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- DataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- DirectNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- DisplayName string
- Required. The display name of the Notebook Execution.
- ExecutionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- ExecutionUser string
- The user email to run the execution as.
- GcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- GcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- NotebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- NotebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- ServiceAccount string
- The service account to run the execution as.
- DataformRepository NotebookSource Execution Dataform Repository Source Args 
- The Dataform Repository containing the input notebook. Structure is documented below.
- DirectNotebook NotebookSource Execution Direct Notebook Source Args 
- The content of the input notebook in ipynb format. Structure is documented below.
- DisplayName string
- Required. The display name of the Notebook Execution.
- ExecutionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- ExecutionUser string
- The user email to run the execution as.
- GcsNotebook NotebookSource Execution Gcs Notebook Source Args 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- GcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- NotebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- NotebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- ServiceAccount string
- The service account to run the execution as.
- dataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- displayName String
- Required. The display name of the Notebook Execution.
- executionTimeout String
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser String
- The user email to run the execution as.
- gcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- gcsOutput StringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- notebookExecution StringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime StringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount String
- The service account to run the execution as.
- dataformRepository NotebookSource Execution Dataform Repository Source 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook NotebookSource Execution Direct Notebook Source 
- The content of the input notebook in ipynb format. Structure is documented below.
- displayName string
- Required. The display name of the Notebook Execution.
- executionTimeout string
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser string
- The user email to run the execution as.
- gcsNotebook NotebookSource Execution Gcs Notebook Source 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- gcsOutput stringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- notebookExecution stringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime stringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount string
- The service account to run the execution as.
- dataform_repository_ Notebooksource Execution Dataform Repository Source Args 
- The Dataform Repository containing the input notebook. Structure is documented below.
- direct_notebook_ Notebooksource Execution Direct Notebook Source Args 
- The content of the input notebook in ipynb format. Structure is documented below.
- display_name str
- Required. The display name of the Notebook Execution.
- execution_timeout str
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- execution_user str
- The user email to run the execution as.
- gcs_notebook_ Notebooksource Execution Gcs Notebook Source Args 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- gcs_output_ struri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location str
- The location for the resource: https://cloud.google.com/colab/docs/locations
- notebook_execution_ strjob_ id 
- User specified ID for the Notebook Execution Job
- notebook_runtime_ strtemplate_ resource_ name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- service_account str
- The service account to run the execution as.
- dataformRepository Property MapSource 
- The Dataform Repository containing the input notebook. Structure is documented below.
- directNotebook Property MapSource 
- The content of the input notebook in ipynb format. Structure is documented below.
- displayName String
- Required. The display name of the Notebook Execution.
- executionTimeout String
- Max running time of the execution job in seconds (default 86400s / 24 hrs).
- executionUser String
- The user email to run the execution as.
- gcsNotebook Property MapSource 
- The Cloud Storage uri for the input notebook. Structure is documented below.
- gcsOutput StringUri 
- The Cloud Storage location to upload the result to. Format:gs://bucket-name
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- notebookExecution StringJob Id 
- User specified ID for the Notebook Execution Job
- notebookRuntime StringTemplate Resource Name 
- The NotebookRuntimeTemplate to source compute configuration from.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- serviceAccount String
- The service account to run the execution as.
Supporting Types
NotebookExecutionDataformRepositorySource, NotebookExecutionDataformRepositorySourceArgs          
- DataformRepository stringResource Name 
- The resource name of the Dataform Repository.
- CommitSha string
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
- DataformRepository stringResource Name 
- The resource name of the Dataform Repository.
- CommitSha string
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataformRepository StringResource Name 
- The resource name of the Dataform Repository.
- commitSha String
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataformRepository stringResource Name 
- The resource name of the Dataform Repository.
- commitSha string
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataform_repository_ strresource_ name 
- The resource name of the Dataform Repository.
- commit_sha str
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataformRepository StringResource Name 
- The resource name of the Dataform Repository.
- commitSha String
- The commit SHA to read repository with. If unset, the file will be read at HEAD.
NotebookExecutionDirectNotebookSource, NotebookExecutionDirectNotebookSourceArgs          
- Content string
- The base64-encoded contents of the input notebook file.
- Content string
- The base64-encoded contents of the input notebook file.
- content String
- The base64-encoded contents of the input notebook file.
- content string
- The base64-encoded contents of the input notebook file.
- content str
- The base64-encoded contents of the input notebook file.
- content String
- The base64-encoded contents of the input notebook file.
NotebookExecutionGcsNotebookSource, NotebookExecutionGcsNotebookSourceArgs          
- Uri string
- The Cloud Storage uri pointing to the ipynb file.
- Generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- Uri string
- The Cloud Storage uri pointing to the ipynb file.
- Generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri String
- The Cloud Storage uri pointing to the ipynb file.
- generation String
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri string
- The Cloud Storage uri pointing to the ipynb file.
- generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri str
- The Cloud Storage uri pointing to the ipynb file.
- generation str
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri String
- The Cloud Storage uri pointing to the ipynb file.
- generation String
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
Import
NotebookExecution can be imported using any of these accepted formats:
- projects/{{project}}/locations/{{location}}/notebookExecutionJobs/{{notebook_execution_job_id}}
- {{project}}/{{location}}/{{notebook_execution_job_id}}
- {{location}}/{{notebook_execution_job_id}}
When using the pulumi import command, NotebookExecution can be imported using one of the formats above. For example:
$ pulumi import gcp:colab/notebookExecution:NotebookExecution default projects/{{project}}/locations/{{location}}/notebookExecutionJobs/{{notebook_execution_job_id}}
$ pulumi import gcp:colab/notebookExecution:NotebookExecution default {{project}}/{{location}}/{{notebook_execution_job_id}}
$ pulumi import gcp:colab/notebookExecution:NotebookExecution default {{location}}/{{notebook_execution_job_id}}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the google-betaTerraform Provider.