content: {-# 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.GetConfig
  -- Copyright   : (c) 2015-2025 Brendan Hay
  -- License     : Mozilla Public License, v. 2.0.
  -- Maintainer  : Brendan Hay <brendan.g.hay+gogol@gmail.com>
  --               Toni Cebrián <toni@tonicebrian.com>
  -- Stability   : auto-generated
  -- Portability : non-portable (GHC extensions)
  --
  -- Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
  --
  -- /See:/ <https://cloud.google.com/ml/ AI Platform Training & Prediction API Reference> for @ml.projects.getConfig@.
  module Gogol.MachineLearning.Ml.Projects.GetConfig
    ( -- * Resource
      MlProjectsGetConfigResource,
  
      -- ** Constructing a Request
      MlProjectsGetConfig (..),
      newMlProjectsGetConfig,
    )
  where
  
  import Gogol.MachineLearning.Types
  import Gogol.Prelude qualified as Core
  
  -- | A resource alias for @ml.projects.getConfig@ method which the
  -- 'MlProjectsGetConfig' request conforms to.
  type MlProjectsGetConfigResource =
    "v1"
      Core.:> Core.CaptureMode "name" "getConfig" Core.Text
      Core.:> Core.QueryParam "$.xgafv" Xgafv
      Core.:> Core.QueryParam "access_token" Core.Text
      Core.:> Core.QueryParam "callback" 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__GetConfigResponse
  
  -- | Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
  --
  -- /See:/ 'newMlProjectsGetConfig' smart constructor.
  data MlProjectsGetConfig = MlProjectsGetConfig
    { -- | V1 error format.
      xgafv :: (Core.Maybe Xgafv),
      -- | OAuth access token.
      accessToken :: (Core.Maybe Core.Text),
      -- | JSONP
      callback :: (Core.Maybe Core.Text),
      -- | Required. The project name.
      name :: 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 'MlProjectsGetConfig' with the minimum fields required to make a request.
  newMlProjectsGetConfig ::
    -- |  Required. The project name. See 'name'.
    Core.Text ->
    MlProjectsGetConfig
  newMlProjectsGetConfig name =
    MlProjectsGetConfig
      { xgafv = Core.Nothing,
        accessToken = Core.Nothing,
        callback = Core.Nothing,
        name = name,
        uploadType = Core.Nothing,
        uploadProtocol = Core.Nothing
      }
  
  instance Core.GoogleRequest MlProjectsGetConfig where
    type Rs MlProjectsGetConfig = GoogleCloudMlV1__GetConfigResponse
    type Scopes MlProjectsGetConfig = '[CloudPlatform'FullControl]
    requestClient MlProjectsGetConfig {..} =
      go
        name
        xgafv
        accessToken
        callback
        uploadType
        uploadProtocol
        (Core.Just Core.AltJSON)
        machineLearningService
      where
        go =
          Core.buildClient
            (Core.Proxy :: Core.Proxy MlProjectsGetConfigResource)
            Core.mempty
  