"use strict";
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.NotebookExecution = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
 * 'An instance of a notebook Execution'
 *
 * To get more information about NotebookExecution, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.notebookExecutionJobs)
 * * How-to Guides
 *     * [Schedule a notebook run](https://cloud.google.com/colab/docs/schedule-notebook-run)
 *
 * ## Example Usage
 *
 * ### Colab Notebook Execution Basic
 *
 * ```typescript
 * 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,
 *     ],
 * });
 * ```
 * ### Colab Notebook Execution Custom Env
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 * import * as std from "@pulumi/std";
 *
 * const myNetwork = new gcp.compute.Network("my_network", {
 *     name: "colab-test-default",
 *     autoCreateSubnetworks: false,
 * });
 * const mySubnetwork = new gcp.compute.Subnetwork("my_subnetwork", {
 *     name: "colab-test-default",
 *     network: myNetwork.id,
 *     region: "us-central1",
 *     ipCidrRange: "10.0.1.0/24",
 * });
 * 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),
 *     },
 *     customEnvironmentSpec: {
 *         machineSpec: {
 *             machineType: "n1-standard-2",
 *             acceleratorType: "NVIDIA_TESLA_T4",
 *             acceleratorCount: 1,
 *         },
 *         persistentDiskSpec: {
 *             diskType: "pd-standard",
 *             diskSizeGb: "200",
 *         },
 *         networkSpec: {
 *             enableInternetAccess: true,
 *             network: myNetwork.id,
 *             subnetwork: mySubnetwork.id,
 *         },
 *     },
 *     gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
 *     serviceAccount: "my@service-account.com",
 * }, {
 *     dependsOn: [outputBucket],
 * });
 * ```
 * ### Colab Notebook Execution Full
 *
 * ```typescript
 * 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,
 *     ],
 * });
 * ```
 * ### Colab Notebook Execution Dataform
 *
 * ```typescript
 * 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
 *
 * 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:
 *
 * ```sh
 * $ pulumi import gcp:colab/notebookExecution:NotebookExecution default projects/{{project}}/locations/{{location}}/notebookExecutionJobs/{{notebook_execution_job_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:colab/notebookExecution:NotebookExecution default {{project}}/{{location}}/{{notebook_execution_job_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:colab/notebookExecution:NotebookExecution default {{location}}/{{notebook_execution_job_id}}
 * ```
 */
class NotebookExecution extends pulumi.CustomResource {
    /**
     * Get an existing NotebookExecution resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name, id, state, opts) {
        return new NotebookExecution(name, state, { ...opts, id: id });
    }
    /**
     * Returns true if the given object is an instance of NotebookExecution.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj) {
        if (obj === undefined || obj === null) {
            return false;
        }
        return obj['__pulumiType'] === NotebookExecution.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["customEnvironmentSpec"] = state?.customEnvironmentSpec;
            resourceInputs["dataformRepositorySource"] = state?.dataformRepositorySource;
            resourceInputs["directNotebookSource"] = state?.directNotebookSource;
            resourceInputs["displayName"] = state?.displayName;
            resourceInputs["executionTimeout"] = state?.executionTimeout;
            resourceInputs["executionUser"] = state?.executionUser;
            resourceInputs["gcsNotebookSource"] = state?.gcsNotebookSource;
            resourceInputs["gcsOutputUri"] = state?.gcsOutputUri;
            resourceInputs["location"] = state?.location;
            resourceInputs["notebookExecutionJobId"] = state?.notebookExecutionJobId;
            resourceInputs["notebookRuntimeTemplateResourceName"] = state?.notebookRuntimeTemplateResourceName;
            resourceInputs["project"] = state?.project;
            resourceInputs["serviceAccount"] = state?.serviceAccount;
        }
        else {
            const args = argsOrState;
            if (args?.displayName === undefined && !opts.urn) {
                throw new Error("Missing required property 'displayName'");
            }
            if (args?.gcsOutputUri === undefined && !opts.urn) {
                throw new Error("Missing required property 'gcsOutputUri'");
            }
            if (args?.location === undefined && !opts.urn) {
                throw new Error("Missing required property 'location'");
            }
            resourceInputs["customEnvironmentSpec"] = args?.customEnvironmentSpec;
            resourceInputs["dataformRepositorySource"] = args?.dataformRepositorySource;
            resourceInputs["directNotebookSource"] = args?.directNotebookSource;
            resourceInputs["displayName"] = args?.displayName;
            resourceInputs["executionTimeout"] = args?.executionTimeout;
            resourceInputs["executionUser"] = args?.executionUser;
            resourceInputs["gcsNotebookSource"] = args?.gcsNotebookSource;
            resourceInputs["gcsOutputUri"] = args?.gcsOutputUri;
            resourceInputs["location"] = args?.location;
            resourceInputs["notebookExecutionJobId"] = args?.notebookExecutionJobId;
            resourceInputs["notebookRuntimeTemplateResourceName"] = args?.notebookRuntimeTemplateResourceName;
            resourceInputs["project"] = args?.project;
            resourceInputs["serviceAccount"] = args?.serviceAccount;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        super(NotebookExecution.__pulumiType, name, resourceInputs, opts);
    }
}
exports.NotebookExecution = NotebookExecution;
/** @internal */
NotebookExecution.__pulumiType = 'gcp:colab/notebookExecution:NotebookExecution';
//# sourceMappingURL=notebookExecution.js.map