{-# 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