{-# LANGUAGE DataKinds #-} {-# LANGUAGE DerivingStrategies #-} {-# LANGUAGE DuplicateRecordFields #-} {-# LANGUAGE ImportQualifiedPost #-} {-# LANGUAGE LambdaCase #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE PatternSynonyms #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE StrictData #-} {-# LANGUAGE TypeFamilies #-} {-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-duplicate-exports #-} {-# OPTIONS_GHC -fno-warn-name-shadowing #-} {-# OPTIONS_GHC -fno-warn-unused-binds #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- | -- Module : Gogol.MachineLearning.Ml.Projects.Jobs.List -- Copyright : (c) 2015-2025 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Toni Cebrián -- Stability : auto-generated -- Portability : non-portable (GHC extensions) -- -- Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}. -- -- /See:/ for @ml.projects.jobs.list@. module Gogol.MachineLearning.Ml.Projects.Jobs.List ( -- * Resource MlProjectsJobsListResource, -- ** Constructing a Request MlProjectsJobsList (..), newMlProjectsJobsList, ) where import Gogol.MachineLearning.Types import Gogol.Prelude qualified as Core -- | A resource alias for @ml.projects.jobs.list@ method which the -- 'MlProjectsJobsList' request conforms to. type MlProjectsJobsListResource = "v1" Core.:> Core.Capture "parent" Core.Text Core.:> "jobs" Core.:> Core.QueryParam "$.xgafv" Xgafv Core.:> Core.QueryParam "access_token" Core.Text Core.:> Core.QueryParam "callback" Core.Text Core.:> Core.QueryParam "filter" Core.Text Core.:> Core.QueryParam "pageSize" Core.Int32 Core.:> Core.QueryParam "pageToken" Core.Text Core.:> Core.QueryParam "uploadType" Core.Text Core.:> Core.QueryParam "upload_protocol" Core.Text Core.:> Core.QueryParam "alt" Core.AltJSON Core.:> Core.Get '[Core.JSON] GoogleCloudMlV1__ListJobsResponse -- | Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}. -- -- /See:/ 'newMlProjectsJobsList' smart constructor. data MlProjectsJobsList = MlProjectsJobsList { -- | V1 error format. xgafv :: (Core.Maybe Xgafv), -- | OAuth access token. accessToken :: (Core.Maybe Core.Text), -- | JSONP callback :: (Core.Maybe Core.Text), -- | Optional. Specifies the subset of jobs to retrieve. You can filter on the value of one or more attributes of the job object. For example, retrieve jobs with a job identifier that starts with \'census\': gcloud ai-platform jobs list --filter=\'jobId:census/\' List all failed jobs with names that start with \'rnn\': gcloud ai-platform jobs list --filter=\'jobId:rnn/ AND state:FAILED\' For more examples, see the guide to monitoring jobs. filter :: (Core.Maybe Core.Text), -- | Optional. The number of jobs to retrieve per \"page\" of results. If there are more remaining results than this number, the response message will contain a valid value in the @next_page_token@ field. The default value is 20, and the maximum page size is 100. pageSize :: (Core.Maybe Core.Int32), -- | Optional. A page token to request the next page of results. You get the token from the @next_page_token@ field of the response from the previous call. pageToken :: (Core.Maybe Core.Text), -- | Required. The name of the project for which to list jobs. parent :: Core.Text, -- | Legacy upload protocol for media (e.g. \"media\", \"multipart\"). uploadType :: (Core.Maybe Core.Text), -- | Upload protocol for media (e.g. \"raw\", \"multipart\"). uploadProtocol :: (Core.Maybe Core.Text) } deriving (Core.Eq, Core.Show, Core.Generic) -- | Creates a value of 'MlProjectsJobsList' with the minimum fields required to make a request. newMlProjectsJobsList :: -- | Required. The name of the project for which to list jobs. See 'parent'. Core.Text -> MlProjectsJobsList newMlProjectsJobsList parent = MlProjectsJobsList { xgafv = Core.Nothing, accessToken = Core.Nothing, callback = Core.Nothing, filter = Core.Nothing, pageSize = Core.Nothing, pageToken = Core.Nothing, parent = parent, uploadType = Core.Nothing, uploadProtocol = Core.Nothing } instance Core.GoogleRequest MlProjectsJobsList where type Rs MlProjectsJobsList = GoogleCloudMlV1__ListJobsResponse type Scopes MlProjectsJobsList = '[CloudPlatform'FullControl, CloudPlatform'ReadOnly] requestClient MlProjectsJobsList {..} = go parent xgafv accessToken callback filter pageSize pageToken uploadType uploadProtocol (Core.Just Core.AltJSON) machineLearningService where go = Core.buildClient (Core.Proxy :: Core.Proxy MlProjectsJobsListResource) Core.mempty