google_prediction1d6/

api.rs

#![allow(clippy::ptr_arg)]

use std::collections::{BTreeSet, HashMap};

use tokio::time::sleep;

// ##############
// UTILITIES ###
// ############

/// Identifies the an OAuth2 authorization scope.
/// A scope is needed when requesting an
/// [authorization token](https://developers.google.com/youtube/v3/guides/authentication).
#[derive(PartialEq, Eq, Ord, PartialOrd, Hash, Debug, Clone, Copy)]
pub enum Scope {
    /// View and manage your data across Google Cloud Platform services
    CloudPlatform,

    /// Manage your data and permissions in Google Cloud Storage
    DevstorageFullControl,

    /// View your data in Google Cloud Storage
    DevstorageReadOnly,

    /// Manage your data in Google Cloud Storage
    DevstorageReadWrite,

    /// Manage your data in the Google Prediction API
    Full,
}

impl AsRef<str> for Scope {
    fn as_ref(&self) -> &str {
        match *self {
            Scope::CloudPlatform => "https://www.googleapis.com/auth/cloud-platform",
            Scope::DevstorageFullControl => {
                "https://www.googleapis.com/auth/devstorage.full_control"
            }
            Scope::DevstorageReadOnly => "https://www.googleapis.com/auth/devstorage.read_only",
            Scope::DevstorageReadWrite => "https://www.googleapis.com/auth/devstorage.read_write",
            Scope::Full => "https://www.googleapis.com/auth/prediction",
        }
    }
}

#[allow(clippy::derivable_impls)]
impl Default for Scope {
    fn default() -> Scope {
        Scope::Full
    }
}

// ########
// HUB ###
// ######

/// Central instance to access all Prediction related resource activities
///
/// # Examples
///
/// Instantiate a new hub
///
/// ```test_harness,no_run
/// extern crate hyper;
/// extern crate hyper_rustls;
/// extern crate google_prediction1d6 as prediction1d6;
/// use prediction1d6::api::Update;
/// use prediction1d6::{Result, Error};
/// # async fn dox() {
/// use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// // Get an ApplicationSecret instance by some means. It contains the `client_id` and
/// // `client_secret`, among other things.
/// let secret: yup_oauth2::ApplicationSecret = Default::default();
/// // Instantiate the authenticator. It will choose a suitable authentication flow for you,
/// // unless you replace  `None` with the desired Flow.
/// // Provide your own `AuthenticatorDelegate` to adjust the way it operates and get feedback about
/// // what's going on. You probably want to bring in your own `TokenStorage` to persist tokens and
/// // retrieve them from storage.
/// let connector = hyper_rustls::HttpsConnectorBuilder::new()
///     .with_native_roots()
///     .unwrap()
///     .https_only()
///     .enable_http2()
///     .build();
///
/// let executor = hyper_util::rt::TokioExecutor::new();
/// let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
///     secret,
///     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
///     yup_oauth2::client::CustomHyperClientBuilder::from(
///         hyper_util::client::legacy::Client::builder(executor).build(connector),
///     ),
/// ).build().await.unwrap();
///
/// let client = hyper_util::client::legacy::Client::builder(
///     hyper_util::rt::TokioExecutor::new()
/// )
/// .build(
///     hyper_rustls::HttpsConnectorBuilder::new()
///         .with_native_roots()
///         .unwrap()
///         .https_or_http()
///         .enable_http2()
///         .build()
/// );
/// let mut hub = Prediction::new(client, auth);
/// // As the method needs a request, you would usually fill it with the desired information
/// // into the respective structure. Some of the parts shown here might not be applicable !
/// // Values shown here are possibly random and not representative !
/// let mut req = Update::default();
///
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().update(req, "project", "id")
///              .doit().await;
///
/// match result {
///     Err(e) => match e {
///         // The Error enum provides details about what exactly happened.
///         // You can also just use its `Debug`, `Display` or `Error` traits
///          Error::HttpError(_)
///         |Error::Io(_)
///         |Error::MissingAPIKey
///         |Error::MissingToken(_)
///         |Error::Cancelled
///         |Error::UploadSizeLimitExceeded(_, _)
///         |Error::Failure(_)
///         |Error::BadRequest(_)
///         |Error::FieldClash(_)
///         |Error::JsonDecodeError(_, _) => println!("{}", e),
///     },
///     Ok(res) => println!("Success: {:?}", res),
/// }
/// # }
/// ```
#[derive(Clone)]
pub struct Prediction<C> {
    pub client: common::Client<C>,
    pub auth: Box<dyn common::GetToken>,
    _user_agent: String,
    _base_url: String,
    _root_url: String,
}

impl<C> common::Hub for Prediction<C> {}

impl<'a, C> Prediction<C> {
    pub fn new<A: 'static + common::GetToken>(client: common::Client<C>, auth: A) -> Prediction<C> {
        Prediction {
            client,
            auth: Box::new(auth),
            _user_agent: "google-api-rust-client/7.0.0".to_string(),
            _base_url: "https://www.googleapis.com/prediction/v1.6/projects/".to_string(),
            _root_url: "https://www.googleapis.com/".to_string(),
        }
    }

    pub fn hostedmodels(&'a self) -> HostedmodelMethods<'a, C> {
        HostedmodelMethods { hub: self }
    }
    pub fn trainedmodels(&'a self) -> TrainedmodelMethods<'a, C> {
        TrainedmodelMethods { hub: self }
    }

    /// Set the user-agent header field to use in all requests to the server.
    /// It defaults to `google-api-rust-client/7.0.0`.
    ///
    /// Returns the previously set user-agent.
    pub fn user_agent(&mut self, agent_name: String) -> String {
        std::mem::replace(&mut self._user_agent, agent_name)
    }

    /// Set the base url to use in all requests to the server.
    /// It defaults to `https://www.googleapis.com/prediction/v1.6/projects/`.
    ///
    /// Returns the previously set base url.
    pub fn base_url(&mut self, new_base_url: String) -> String {
        std::mem::replace(&mut self._base_url, new_base_url)
    }

    /// Set the root url to use in all requests to the server.
    /// It defaults to `https://www.googleapis.com/`.
    ///
    /// Returns the previously set root url.
    pub fn root_url(&mut self, new_root_url: String) -> String {
        std::mem::replace(&mut self._root_url, new_root_url)
    }
}

// ############
// SCHEMAS ###
// ##########
/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [analyze trainedmodels](TrainedmodelAnalyzeCall) (response)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Analyze {
    /// Description of the data the model was trained on.
    #[serde(rename = "dataDescription")]
    pub data_description: Option<AnalyzeDataDescription>,
    /// List of errors with the data.
    pub errors: Option<Vec<HashMap<String, String>>>,
    /// The unique name for the predictive model.
    pub id: Option<String>,
    /// What kind of resource this is.
    pub kind: Option<String>,
    /// Description of the model.
    #[serde(rename = "modelDescription")]
    pub model_description: Option<AnalyzeModelDescription>,
    /// A URL to re-request this resource.
    #[serde(rename = "selfLink")]
    pub self_link: Option<String>,
}

impl common::ResponseResult for Analyze {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [predict hostedmodels](HostedmodelPredictCall) (request)
/// * [predict trainedmodels](TrainedmodelPredictCall) (request)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Input {
    /// Input to the model for a prediction.
    pub input: Option<InputInput>,
}

impl common::RequestValue for Input {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [insert trainedmodels](TrainedmodelInsertCall) (request)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Insert {
    /// The unique name for the predictive model.
    pub id: Option<String>,
    /// Type of predictive model (classification or regression).
    #[serde(rename = "modelType")]
    pub model_type: Option<String>,
    /// The Id of the model to be copied over.
    #[serde(rename = "sourceModel")]
    pub source_model: Option<String>,
    /// Google storage location of the training data file.
    #[serde(rename = "storageDataLocation")]
    pub storage_data_location: Option<String>,
    /// Google storage location of the preprocessing pmml file.
    #[serde(rename = "storagePMMLLocation")]
    pub storage_pmml_location: Option<String>,
    /// Google storage location of the pmml model file.
    #[serde(rename = "storagePMMLModelLocation")]
    pub storage_pmml_model_location: Option<String>,
    /// Instances to train model on.
    #[serde(rename = "trainingInstances")]
    pub training_instances: Option<Vec<InsertTrainingInstances>>,
    /// A class weighting function, which allows the importance weights for class labels to be specified (Categorical models only).
    pub utility: Option<Vec<HashMap<String, f64>>>,
}

impl common::RequestValue for Insert {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [get trainedmodels](TrainedmodelGetCall) (response)
/// * [insert trainedmodels](TrainedmodelInsertCall) (response)
/// * [update trainedmodels](TrainedmodelUpdateCall) (response)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Insert2 {
    /// Insert time of the model (as a RFC 3339 timestamp).
    pub created: Option<chrono::DateTime<chrono::offset::Utc>>,
    /// The unique name for the predictive model.
    pub id: Option<String>,
    /// What kind of resource this is.
    pub kind: Option<String>,
    /// Model metadata.
    #[serde(rename = "modelInfo")]
    pub model_info: Option<Insert2ModelInfo>,
    /// Type of predictive model (CLASSIFICATION or REGRESSION).
    #[serde(rename = "modelType")]
    pub model_type: Option<String>,
    /// A URL to re-request this resource.
    #[serde(rename = "selfLink")]
    pub self_link: Option<String>,
    /// Google storage location of the training data file.
    #[serde(rename = "storageDataLocation")]
    pub storage_data_location: Option<String>,
    /// Google storage location of the preprocessing pmml file.
    #[serde(rename = "storagePMMLLocation")]
    pub storage_pmml_location: Option<String>,
    /// Google storage location of the pmml model file.
    #[serde(rename = "storagePMMLModelLocation")]
    pub storage_pmml_model_location: Option<String>,
    /// Training completion time (as a RFC 3339 timestamp).
    #[serde(rename = "trainingComplete")]
    pub training_complete: Option<chrono::DateTime<chrono::offset::Utc>>,
    /// The current status of the training job. This can be one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
    #[serde(rename = "trainingStatus")]
    pub training_status: Option<String>,
}

impl common::ResponseResult for Insert2 {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [list trainedmodels](TrainedmodelListCall) (response)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct List {
    /// List of models.
    pub items: Option<Vec<Insert2>>,
    /// What kind of resource this is.
    pub kind: Option<String>,
    /// Pagination token to fetch the next page, if one exists.
    #[serde(rename = "nextPageToken")]
    pub next_page_token: Option<String>,
    /// A URL to re-request this resource.
    #[serde(rename = "selfLink")]
    pub self_link: Option<String>,
}

impl common::ResponseResult for List {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [predict hostedmodels](HostedmodelPredictCall) (response)
/// * [predict trainedmodels](TrainedmodelPredictCall) (response)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Output {
    /// The unique name for the predictive model.
    pub id: Option<String>,
    /// What kind of resource this is.
    pub kind: Option<String>,
    /// The most likely class label (Categorical models only).
    #[serde(rename = "outputLabel")]
    pub output_label: Option<String>,
    /// A list of class labels with their estimated probabilities (Categorical models only).
    #[serde(rename = "outputMulti")]
    pub output_multi: Option<Vec<OutputOutputMulti>>,
    /// The estimated regression value (Regression models only).
    #[serde(rename = "outputValue")]
    pub output_value: Option<String>,
    /// A URL to re-request this resource.
    #[serde(rename = "selfLink")]
    pub self_link: Option<String>,
}

impl common::ResponseResult for Output {}

/// There is no detailed description.
///
/// # Activities
///
/// This type is used in activities, which are methods you may call on this type or where this type is involved in.
/// The list links the activity name, along with information about where it is used (one of *request* and *response*).
///
/// * [update trainedmodels](TrainedmodelUpdateCall) (request)
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Update {
    /// The input features for this instance.
    #[serde(rename = "csvInstance")]
    pub csv_instance: Option<Vec<serde_json::Value>>,
    /// The generic output value - could be regression or class label.
    pub output: Option<String>,
}

impl common::RequestValue for Update {}

/// Description of the data the model was trained on.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescription {
    /// Description of the input features in the data set.
    pub features: Option<Vec<AnalyzeDataDescriptionFeatures>>,
    /// Description of the output value or label.
    #[serde(rename = "outputFeature")]
    pub output_feature: Option<AnalyzeDataDescriptionOutputFeature>,
}

impl common::NestedType for AnalyzeDataDescription {}
impl common::Part for AnalyzeDataDescription {}

/// Description of the input features in the data set.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionFeatures {
    /// Description of the categorical values of this feature.
    pub categorical: Option<AnalyzeDataDescriptionFeaturesCategorical>,
    /// The feature index.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub index: Option<i64>,
    /// Description of the numeric values of this feature.
    pub numeric: Option<AnalyzeDataDescriptionFeaturesNumeric>,
    /// Description of multiple-word text values of this feature.
    pub text: Option<AnalyzeDataDescriptionFeaturesText>,
}

impl common::NestedType for AnalyzeDataDescriptionFeatures {}
impl common::Part for AnalyzeDataDescriptionFeatures {}

/// Description of the categorical values of this feature.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionFeaturesCategorical {
    /// Number of categorical values for this feature in the data.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
    /// List of all the categories for this feature in the data set.
    pub values: Option<Vec<AnalyzeDataDescriptionFeaturesCategoricalValues>>,
}

impl common::NestedType for AnalyzeDataDescriptionFeaturesCategorical {}
impl common::Part for AnalyzeDataDescriptionFeaturesCategorical {}

/// List of all the categories for this feature in the data set.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionFeaturesCategoricalValues {
    /// Number of times this feature had this value.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
    /// The category name.
    pub value: Option<String>,
}

impl common::NestedType for AnalyzeDataDescriptionFeaturesCategoricalValues {}
impl common::Part for AnalyzeDataDescriptionFeaturesCategoricalValues {}

/// Description of the numeric values of this feature.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionFeaturesNumeric {
    /// Number of numeric values for this feature in the data set.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
    /// Mean of the numeric values of this feature in the data set.
    pub mean: Option<String>,
    /// Variance of the numeric values of this feature in the data set.
    pub variance: Option<String>,
}

impl common::NestedType for AnalyzeDataDescriptionFeaturesNumeric {}
impl common::Part for AnalyzeDataDescriptionFeaturesNumeric {}

/// Description of multiple-word text values of this feature.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionFeaturesText {
    /// Number of multiple-word text values for this feature.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
}

impl common::NestedType for AnalyzeDataDescriptionFeaturesText {}
impl common::Part for AnalyzeDataDescriptionFeaturesText {}

/// Description of the output value or label.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionOutputFeature {
    /// Description of the output values in the data set.
    pub numeric: Option<AnalyzeDataDescriptionOutputFeatureNumeric>,
    /// Description of the output labels in the data set.
    pub text: Option<Vec<AnalyzeDataDescriptionOutputFeatureText>>,
}

impl common::NestedType for AnalyzeDataDescriptionOutputFeature {}
impl common::Part for AnalyzeDataDescriptionOutputFeature {}

/// Description of the output values in the data set.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionOutputFeatureNumeric {
    /// Number of numeric output values in the data set.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
    /// Mean of the output values in the data set.
    pub mean: Option<String>,
    /// Variance of the output values in the data set.
    pub variance: Option<String>,
}

impl common::NestedType for AnalyzeDataDescriptionOutputFeatureNumeric {}
impl common::Part for AnalyzeDataDescriptionOutputFeatureNumeric {}

/// Description of the output labels in the data set.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeDataDescriptionOutputFeatureText {
    /// Number of times the output label occurred in the data set.
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub count: Option<i64>,
    /// The output label.
    pub value: Option<String>,
}

impl common::NestedType for AnalyzeDataDescriptionOutputFeatureText {}
impl common::Part for AnalyzeDataDescriptionOutputFeatureText {}

/// Description of the model.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct AnalyzeModelDescription {
    /// An output confusion matrix. This shows an estimate for how this model will do in predictions. This is first indexed by the true class label. For each true class label, this provides a pair {predicted_label, count}, where count is the estimated number of times the model will predict the predicted label given the true label. Will not output if more then 100 classes (Categorical models only).
    #[serde(rename = "confusionMatrix")]
    pub confusion_matrix: Option<HashMap<String, HashMap<String, String>>>,
    /// A list of the confusion matrix row totals.
    #[serde(rename = "confusionMatrixRowTotals")]
    pub confusion_matrix_row_totals: Option<HashMap<String, String>>,
    /// Basic information about the model.
    pub modelinfo: Option<Insert2>,
}

impl common::NestedType for AnalyzeModelDescription {}
impl common::Part for AnalyzeModelDescription {}

/// Input to the model for a prediction.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct InputInput {
    /// A list of input features, these can be strings or doubles.
    #[serde(rename = "csvInstance")]
    pub csv_instance: Option<Vec<serde_json::Value>>,
}

impl common::NestedType for InputInput {}
impl common::Part for InputInput {}

/// Instances to train model on.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct InsertTrainingInstances {
    /// The input features for this instance.
    #[serde(rename = "csvInstance")]
    pub csv_instance: Option<Vec<serde_json::Value>>,
    /// The generic output value - could be regression or class label.
    pub output: Option<String>,
}

impl common::NestedType for InsertTrainingInstances {}
impl common::Part for InsertTrainingInstances {}

/// Model metadata.
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct Insert2ModelInfo {
    /// Estimated accuracy of model taking utility weights into account (Categorical models only).
    #[serde(rename = "classWeightedAccuracy")]
    pub class_weighted_accuracy: Option<String>,
    /// A number between 0.0 and 1.0, where 1.0 is 100% accurate. This is an estimate, based on the amount and quality of the training data, of the estimated prediction accuracy. You can use this is a guide to decide whether the results are accurate enough for your needs. This estimate will be more reliable if your real input data is similar to your training data (Categorical models only).
    #[serde(rename = "classificationAccuracy")]
    pub classification_accuracy: Option<String>,
    /// An estimated mean squared error. The can be used to measure the quality of the predicted model (Regression models only).
    #[serde(rename = "meanSquaredError")]
    pub mean_squared_error: Option<String>,
    /// Type of predictive model (CLASSIFICATION or REGRESSION).
    #[serde(rename = "modelType")]
    pub model_type: Option<String>,
    /// Number of valid data instances used in the trained model.
    #[serde(rename = "numberInstances")]
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub number_instances: Option<i64>,
    /// Number of class labels in the trained model (Categorical models only).
    #[serde(rename = "numberLabels")]
    #[serde_as(as = "Option<serde_with::DisplayFromStr>")]
    pub number_labels: Option<i64>,
}

impl common::NestedType for Insert2ModelInfo {}
impl common::Part for Insert2ModelInfo {}

/// A list of class labels with their estimated probabilities (Categorical models only).
///
/// This type is not used in any activity, and only used as *part* of another schema.
///
#[cfg_attr(feature = "utoipa", derive(utoipa::ToSchema))]
#[serde_with::serde_as]
#[derive(Default, Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct OutputOutputMulti {
    /// The class label.
    pub label: Option<String>,
    /// The probability of the class label.
    pub score: Option<String>,
}

impl common::NestedType for OutputOutputMulti {}
impl common::Part for OutputOutputMulti {}

// ###################
// MethodBuilders ###
// #################

/// A builder providing access to all methods supported on *hostedmodel* resources.
/// It is not used directly, but through the [`Prediction`] hub.
///
/// # Example
///
/// Instantiate a resource builder
///
/// ```test_harness,no_run
/// extern crate hyper;
/// extern crate hyper_rustls;
/// extern crate google_prediction1d6 as prediction1d6;
///
/// # async fn dox() {
/// use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// let secret: yup_oauth2::ApplicationSecret = Default::default();
/// let connector = hyper_rustls::HttpsConnectorBuilder::new()
///     .with_native_roots()
///     .unwrap()
///     .https_only()
///     .enable_http2()
///     .build();
///
/// let executor = hyper_util::rt::TokioExecutor::new();
/// let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
///     secret,
///     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
///     yup_oauth2::client::CustomHyperClientBuilder::from(
///         hyper_util::client::legacy::Client::builder(executor).build(connector),
///     ),
/// ).build().await.unwrap();
///
/// let client = hyper_util::client::legacy::Client::builder(
///     hyper_util::rt::TokioExecutor::new()
/// )
/// .build(
///     hyper_rustls::HttpsConnectorBuilder::new()
///         .with_native_roots()
///         .unwrap()
///         .https_or_http()
///         .enable_http2()
///         .build()
/// );
/// let mut hub = Prediction::new(client, auth);
/// // Usually you wouldn't bind this to a variable, but keep calling *CallBuilders*
/// // like `predict(...)`
/// // to build up your call.
/// let rb = hub.hostedmodels();
/// # }
/// ```
pub struct HostedmodelMethods<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
}

impl<'a, C> common::MethodsBuilder for HostedmodelMethods<'a, C> {}

impl<'a, C> HostedmodelMethods<'a, C> {
    /// Create a builder to help you perform the following task:
    ///
    /// Submit input and request an output against a hosted model.
    ///
    /// # Arguments
    ///
    /// * `request` - No description provided.
    /// * `project` - The project associated with the model.
    /// * `hostedModelName` - The name of a hosted model.
    pub fn predict(
        &self,
        request: Input,
        project: &str,
        hosted_model_name: &str,
    ) -> HostedmodelPredictCall<'a, C> {
        HostedmodelPredictCall {
            hub: self.hub,
            _request: request,
            _project: project.to_string(),
            _hosted_model_name: hosted_model_name.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }
}

/// A builder providing access to all methods supported on *trainedmodel* resources.
/// It is not used directly, but through the [`Prediction`] hub.
///
/// # Example
///
/// Instantiate a resource builder
///
/// ```test_harness,no_run
/// extern crate hyper;
/// extern crate hyper_rustls;
/// extern crate google_prediction1d6 as prediction1d6;
///
/// # async fn dox() {
/// use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// let secret: yup_oauth2::ApplicationSecret = Default::default();
/// let connector = hyper_rustls::HttpsConnectorBuilder::new()
///     .with_native_roots()
///     .unwrap()
///     .https_only()
///     .enable_http2()
///     .build();
///
/// let executor = hyper_util::rt::TokioExecutor::new();
/// let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
///     secret,
///     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
///     yup_oauth2::client::CustomHyperClientBuilder::from(
///         hyper_util::client::legacy::Client::builder(executor).build(connector),
///     ),
/// ).build().await.unwrap();
///
/// let client = hyper_util::client::legacy::Client::builder(
///     hyper_util::rt::TokioExecutor::new()
/// )
/// .build(
///     hyper_rustls::HttpsConnectorBuilder::new()
///         .with_native_roots()
///         .unwrap()
///         .https_or_http()
///         .enable_http2()
///         .build()
/// );
/// let mut hub = Prediction::new(client, auth);
/// // Usually you wouldn't bind this to a variable, but keep calling *CallBuilders*
/// // like `analyze(...)`, `delete(...)`, `get(...)`, `insert(...)`, `list(...)`, `predict(...)` and `update(...)`
/// // to build up your call.
/// let rb = hub.trainedmodels();
/// # }
/// ```
pub struct TrainedmodelMethods<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
}

impl<'a, C> common::MethodsBuilder for TrainedmodelMethods<'a, C> {}

impl<'a, C> TrainedmodelMethods<'a, C> {
    /// Create a builder to help you perform the following task:
    ///
    /// Get analysis of the model and the data the model was trained on.
    ///
    /// # Arguments
    ///
    /// * `project` - The project associated with the model.
    /// * `id` - The unique name for the predictive model.
    pub fn analyze(&self, project: &str, id: &str) -> TrainedmodelAnalyzeCall<'a, C> {
        TrainedmodelAnalyzeCall {
            hub: self.hub,
            _project: project.to_string(),
            _id: id.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// Delete a trained model.
    ///
    /// # Arguments
    ///
    /// * `project` - The project associated with the model.
    /// * `id` - The unique name for the predictive model.
    pub fn delete(&self, project: &str, id: &str) -> TrainedmodelDeleteCall<'a, C> {
        TrainedmodelDeleteCall {
            hub: self.hub,
            _project: project.to_string(),
            _id: id.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// Check training status of your model.
    ///
    /// # Arguments
    ///
    /// * `project` - The project associated with the model.
    /// * `id` - The unique name for the predictive model.
    pub fn get(&self, project: &str, id: &str) -> TrainedmodelGetCall<'a, C> {
        TrainedmodelGetCall {
            hub: self.hub,
            _project: project.to_string(),
            _id: id.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// Train a Prediction API model.
    ///
    /// # Arguments
    ///
    /// * `request` - No description provided.
    /// * `project` - The project associated with the model.
    pub fn insert(&self, request: Insert, project: &str) -> TrainedmodelInsertCall<'a, C> {
        TrainedmodelInsertCall {
            hub: self.hub,
            _request: request,
            _project: project.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// List available models.
    ///
    /// # Arguments
    ///
    /// * `project` - The project associated with the model.
    pub fn list(&self, project: &str) -> TrainedmodelListCall<'a, C> {
        TrainedmodelListCall {
            hub: self.hub,
            _project: project.to_string(),
            _page_token: Default::default(),
            _max_results: Default::default(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// Submit model id and request a prediction.
    ///
    /// # Arguments
    ///
    /// * `request` - No description provided.
    /// * `project` - The project associated with the model.
    /// * `id` - The unique name for the predictive model.
    pub fn predict(
        &self,
        request: Input,
        project: &str,
        id: &str,
    ) -> TrainedmodelPredictCall<'a, C> {
        TrainedmodelPredictCall {
            hub: self.hub,
            _request: request,
            _project: project.to_string(),
            _id: id.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }

    /// Create a builder to help you perform the following task:
    ///
    /// Add new data to a trained model.
    ///
    /// # Arguments
    ///
    /// * `request` - No description provided.
    /// * `project` - The project associated with the model.
    /// * `id` - The unique name for the predictive model.
    pub fn update(
        &self,
        request: Update,
        project: &str,
        id: &str,
    ) -> TrainedmodelUpdateCall<'a, C> {
        TrainedmodelUpdateCall {
            hub: self.hub,
            _request: request,
            _project: project.to_string(),
            _id: id.to_string(),
            _delegate: Default::default(),
            _additional_params: Default::default(),
            _scopes: Default::default(),
        }
    }
}

// ###################
// CallBuilders   ###
// #################

/// Submit input and request an output against a hosted model.
///
/// A builder for the *predict* method supported by a *hostedmodel* resource.
/// It is not used directly, but through a [`HostedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// use prediction1d6::api::Input;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // As the method needs a request, you would usually fill it with the desired information
/// // into the respective structure. Some of the parts shown here might not be applicable !
/// // Values shown here are possibly random and not representative !
/// let mut req = Input::default();
///
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.hostedmodels().predict(req, "project", "hostedModelName")
///              .doit().await;
/// # }
/// ```
pub struct HostedmodelPredictCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _request: Input,
    _project: String,
    _hosted_model_name: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for HostedmodelPredictCall<'a, C> {}

impl<'a, C> HostedmodelPredictCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Output)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.hostedmodels.predict",
            http_method: hyper::Method::POST,
        });

        for &field in ["alt", "project", "hostedModelName"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(5 + self._additional_params.len());
        params.push("project", self._project);
        params.push("hostedModelName", self._hosted_model_name);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url =
            self.hub._base_url.clone() + "{project}/hostedmodels/{hostedModelName}/predict";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [
            ("{project}", "project"),
            ("{hostedModelName}", "hostedModelName"),
        ]
        .iter()
        {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["hostedModelName", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        let mut json_mime_type = mime::APPLICATION_JSON;
        let mut request_value_reader = {
            let mut value = serde_json::value::to_value(&self._request).expect("serde to work");
            common::remove_json_null_values(&mut value);
            let mut dst = std::io::Cursor::new(Vec::with_capacity(128));
            serde_json::to_writer(&mut dst, &value).unwrap();
            dst
        };
        let request_size = request_value_reader
            .seek(std::io::SeekFrom::End(0))
            .unwrap();
        request_value_reader
            .seek(std::io::SeekFrom::Start(0))
            .unwrap();

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            request_value_reader
                .seek(std::io::SeekFrom::Start(0))
                .unwrap();
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::POST)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_TYPE, json_mime_type.to_string())
                    .header(CONTENT_LENGTH, request_size as u64)
                    .body(common::to_body(
                        request_value_reader.get_ref().clone().into(),
                    ));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    ///
    /// Sets the *request* property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn request(mut self, new_value: Input) -> HostedmodelPredictCall<'a, C> {
        self._request = new_value;
        self
    }
    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> HostedmodelPredictCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The name of a hosted model.
    ///
    /// Sets the *hosted model name* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn hosted_model_name(mut self, new_value: &str) -> HostedmodelPredictCall<'a, C> {
        self._hosted_model_name = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> HostedmodelPredictCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> HostedmodelPredictCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> HostedmodelPredictCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> HostedmodelPredictCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> HostedmodelPredictCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Get analysis of the model and the data the model was trained on.
///
/// A builder for the *analyze* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().analyze("project", "id")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelAnalyzeCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _project: String,
    _id: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelAnalyzeCall<'a, C> {}

impl<'a, C> TrainedmodelAnalyzeCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Analyze)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.analyze",
            http_method: hyper::Method::GET,
        });

        for &field in ["alt", "project", "id"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(4 + self._additional_params.len());
        params.push("project", self._project);
        params.push("id", self._id);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/{id}/analyze";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project"), ("{id}", "id")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["id", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::GET)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_LENGTH, 0_u64)
                    .body(common::to_body::<String>(None));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelAnalyzeCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The unique name for the predictive model.
    ///
    /// Sets the *id* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn id(mut self, new_value: &str) -> TrainedmodelAnalyzeCall<'a, C> {
        self._id = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelAnalyzeCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelAnalyzeCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelAnalyzeCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelAnalyzeCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelAnalyzeCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Delete a trained model.
///
/// A builder for the *delete* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().delete("project", "id")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelDeleteCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _project: String,
    _id: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelDeleteCall<'a, C> {}

impl<'a, C> TrainedmodelDeleteCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<common::Response> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.delete",
            http_method: hyper::Method::DELETE,
        });

        for &field in ["project", "id"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(3 + self._additional_params.len());
        params.push("project", self._project);
        params.push("id", self._id);

        params.extend(self._additional_params.iter());

        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/{id}";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project"), ("{id}", "id")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["id", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::DELETE)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_LENGTH, 0_u64)
                    .body(common::to_body::<String>(None));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = common::Response::from_parts(parts, body);

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelDeleteCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The unique name for the predictive model.
    ///
    /// Sets the *id* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn id(mut self, new_value: &str) -> TrainedmodelDeleteCall<'a, C> {
        self._id = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelDeleteCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelDeleteCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelDeleteCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelDeleteCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelDeleteCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Check training status of your model.
///
/// A builder for the *get* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().get("project", "id")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelGetCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _project: String,
    _id: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelGetCall<'a, C> {}

impl<'a, C> TrainedmodelGetCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Insert2)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.get",
            http_method: hyper::Method::GET,
        });

        for &field in ["alt", "project", "id"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(4 + self._additional_params.len());
        params.push("project", self._project);
        params.push("id", self._id);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/{id}";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project"), ("{id}", "id")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["id", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::GET)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_LENGTH, 0_u64)
                    .body(common::to_body::<String>(None));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelGetCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The unique name for the predictive model.
    ///
    /// Sets the *id* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn id(mut self, new_value: &str) -> TrainedmodelGetCall<'a, C> {
        self._id = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelGetCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelGetCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelGetCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelGetCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelGetCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Train a Prediction API model.
///
/// A builder for the *insert* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// use prediction1d6::api::Insert;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // As the method needs a request, you would usually fill it with the desired information
/// // into the respective structure. Some of the parts shown here might not be applicable !
/// // Values shown here are possibly random and not representative !
/// let mut req = Insert::default();
///
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().insert(req, "project")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelInsertCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _request: Insert,
    _project: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelInsertCall<'a, C> {}

impl<'a, C> TrainedmodelInsertCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Insert2)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.insert",
            http_method: hyper::Method::POST,
        });

        for &field in ["alt", "project"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(4 + self._additional_params.len());
        params.push("project", self._project);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::DevstorageReadOnly.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        let mut json_mime_type = mime::APPLICATION_JSON;
        let mut request_value_reader = {
            let mut value = serde_json::value::to_value(&self._request).expect("serde to work");
            common::remove_json_null_values(&mut value);
            let mut dst = std::io::Cursor::new(Vec::with_capacity(128));
            serde_json::to_writer(&mut dst, &value).unwrap();
            dst
        };
        let request_size = request_value_reader
            .seek(std::io::SeekFrom::End(0))
            .unwrap();
        request_value_reader
            .seek(std::io::SeekFrom::Start(0))
            .unwrap();

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            request_value_reader
                .seek(std::io::SeekFrom::Start(0))
                .unwrap();
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::POST)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_TYPE, json_mime_type.to_string())
                    .header(CONTENT_LENGTH, request_size as u64)
                    .body(common::to_body(
                        request_value_reader.get_ref().clone().into(),
                    ));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    ///
    /// Sets the *request* property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn request(mut self, new_value: Insert) -> TrainedmodelInsertCall<'a, C> {
        self._request = new_value;
        self
    }
    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelInsertCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelInsertCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelInsertCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::DevstorageReadOnly`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelInsertCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelInsertCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelInsertCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// List available models.
///
/// A builder for the *list* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().list("project")
///              .page_token("eos")
///              .max_results(97)
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelListCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _project: String,
    _page_token: Option<String>,
    _max_results: Option<u32>,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelListCall<'a, C> {}

impl<'a, C> TrainedmodelListCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, List)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.list",
            http_method: hyper::Method::GET,
        });

        for &field in ["alt", "project", "pageToken", "maxResults"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(5 + self._additional_params.len());
        params.push("project", self._project);
        if let Some(value) = self._page_token.as_ref() {
            params.push("pageToken", value);
        }
        if let Some(value) = self._max_results.as_ref() {
            params.push("maxResults", value.to_string());
        }

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/list";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::GET)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_LENGTH, 0_u64)
                    .body(common::to_body::<String>(None));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelListCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// Pagination token.
    ///
    /// Sets the *page token* query property to the given value.
    pub fn page_token(mut self, new_value: &str) -> TrainedmodelListCall<'a, C> {
        self._page_token = Some(new_value.to_string());
        self
    }
    /// Maximum number of results to return.
    ///
    /// Sets the *max results* query property to the given value.
    pub fn max_results(mut self, new_value: u32) -> TrainedmodelListCall<'a, C> {
        self._max_results = Some(new_value);
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelListCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelListCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelListCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelListCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelListCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Submit model id and request a prediction.
///
/// A builder for the *predict* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// use prediction1d6::api::Input;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // As the method needs a request, you would usually fill it with the desired information
/// // into the respective structure. Some of the parts shown here might not be applicable !
/// // Values shown here are possibly random and not representative !
/// let mut req = Input::default();
///
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().predict(req, "project", "id")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelPredictCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _request: Input,
    _project: String,
    _id: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelPredictCall<'a, C> {}

impl<'a, C> TrainedmodelPredictCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Output)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.predict",
            http_method: hyper::Method::POST,
        });

        for &field in ["alt", "project", "id"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(5 + self._additional_params.len());
        params.push("project", self._project);
        params.push("id", self._id);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/{id}/predict";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project"), ("{id}", "id")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["id", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        let mut json_mime_type = mime::APPLICATION_JSON;
        let mut request_value_reader = {
            let mut value = serde_json::value::to_value(&self._request).expect("serde to work");
            common::remove_json_null_values(&mut value);
            let mut dst = std::io::Cursor::new(Vec::with_capacity(128));
            serde_json::to_writer(&mut dst, &value).unwrap();
            dst
        };
        let request_size = request_value_reader
            .seek(std::io::SeekFrom::End(0))
            .unwrap();
        request_value_reader
            .seek(std::io::SeekFrom::Start(0))
            .unwrap();

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            request_value_reader
                .seek(std::io::SeekFrom::Start(0))
                .unwrap();
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::POST)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_TYPE, json_mime_type.to_string())
                    .header(CONTENT_LENGTH, request_size as u64)
                    .body(common::to_body(
                        request_value_reader.get_ref().clone().into(),
                    ));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    ///
    /// Sets the *request* property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn request(mut self, new_value: Input) -> TrainedmodelPredictCall<'a, C> {
        self._request = new_value;
        self
    }
    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelPredictCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The unique name for the predictive model.
    ///
    /// Sets the *id* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn id(mut self, new_value: &str) -> TrainedmodelPredictCall<'a, C> {
        self._id = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelPredictCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelPredictCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelPredictCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelPredictCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelPredictCall<'a, C> {
        self._scopes.clear();
        self
    }
}

/// Add new data to a trained model.
///
/// A builder for the *update* method supported by a *trainedmodel* resource.
/// It is not used directly, but through a [`TrainedmodelMethods`] instance.
///
/// # Example
///
/// Instantiate a resource method builder
///
/// ```test_harness,no_run
/// # extern crate hyper;
/// # extern crate hyper_rustls;
/// # extern crate google_prediction1d6 as prediction1d6;
/// use prediction1d6::api::Update;
/// # async fn dox() {
/// # use prediction1d6::{Prediction, FieldMask, hyper_rustls, hyper_util, yup_oauth2};
///
/// # let secret: yup_oauth2::ApplicationSecret = Default::default();
/// # let connector = hyper_rustls::HttpsConnectorBuilder::new()
/// #     .with_native_roots()
/// #     .unwrap()
/// #     .https_only()
/// #     .enable_http2()
/// #     .build();
///
/// # let executor = hyper_util::rt::TokioExecutor::new();
/// # let auth = yup_oauth2::InstalledFlowAuthenticator::with_client(
/// #     secret,
/// #     yup_oauth2::InstalledFlowReturnMethod::HTTPRedirect,
/// #     yup_oauth2::client::CustomHyperClientBuilder::from(
/// #         hyper_util::client::legacy::Client::builder(executor).build(connector),
/// #     ),
/// # ).build().await.unwrap();
///
/// # let client = hyper_util::client::legacy::Client::builder(
/// #     hyper_util::rt::TokioExecutor::new()
/// # )
/// # .build(
/// #     hyper_rustls::HttpsConnectorBuilder::new()
/// #         .with_native_roots()
/// #         .unwrap()
/// #         .https_or_http()
/// #         .enable_http2()
/// #         .build()
/// # );
/// # let mut hub = Prediction::new(client, auth);
/// // As the method needs a request, you would usually fill it with the desired information
/// // into the respective structure. Some of the parts shown here might not be applicable !
/// // Values shown here are possibly random and not representative !
/// let mut req = Update::default();
///
/// // You can configure optional parameters by calling the respective setters at will, and
/// // execute the final call using `doit()`.
/// // Values shown here are possibly random and not representative !
/// let result = hub.trainedmodels().update(req, "project", "id")
///              .doit().await;
/// # }
/// ```
pub struct TrainedmodelUpdateCall<'a, C>
where
    C: 'a,
{
    hub: &'a Prediction<C>,
    _request: Update,
    _project: String,
    _id: String,
    _delegate: Option<&'a mut dyn common::Delegate>,
    _additional_params: HashMap<String, String>,
    _scopes: BTreeSet<String>,
}

impl<'a, C> common::CallBuilder for TrainedmodelUpdateCall<'a, C> {}

impl<'a, C> TrainedmodelUpdateCall<'a, C>
where
    C: common::Connector,
{
    /// Perform the operation you have build so far.
    pub async fn doit(mut self) -> common::Result<(common::Response, Insert2)> {
        use std::borrow::Cow;
        use std::io::{Read, Seek};

        use common::{url::Params, ToParts};
        use hyper::header::{AUTHORIZATION, CONTENT_LENGTH, CONTENT_TYPE, LOCATION, USER_AGENT};

        let mut dd = common::DefaultDelegate;
        let mut dlg: &mut dyn common::Delegate = self._delegate.unwrap_or(&mut dd);
        dlg.begin(common::MethodInfo {
            id: "prediction.trainedmodels.update",
            http_method: hyper::Method::PUT,
        });

        for &field in ["alt", "project", "id"].iter() {
            if self._additional_params.contains_key(field) {
                dlg.finished(false);
                return Err(common::Error::FieldClash(field));
            }
        }

        let mut params = Params::with_capacity(5 + self._additional_params.len());
        params.push("project", self._project);
        params.push("id", self._id);

        params.extend(self._additional_params.iter());

        params.push("alt", "json");
        let mut url = self.hub._base_url.clone() + "{project}/trainedmodels/{id}";
        if self._scopes.is_empty() {
            self._scopes
                .insert(Scope::CloudPlatform.as_ref().to_string());
        }

        #[allow(clippy::single_element_loop)]
        for &(find_this, param_name) in [("{project}", "project"), ("{id}", "id")].iter() {
            url = params.uri_replacement(url, param_name, find_this, false);
        }
        {
            let to_remove = ["id", "project"];
            params.remove_params(&to_remove);
        }

        let url = params.parse_with_url(&url);

        let mut json_mime_type = mime::APPLICATION_JSON;
        let mut request_value_reader = {
            let mut value = serde_json::value::to_value(&self._request).expect("serde to work");
            common::remove_json_null_values(&mut value);
            let mut dst = std::io::Cursor::new(Vec::with_capacity(128));
            serde_json::to_writer(&mut dst, &value).unwrap();
            dst
        };
        let request_size = request_value_reader
            .seek(std::io::SeekFrom::End(0))
            .unwrap();
        request_value_reader
            .seek(std::io::SeekFrom::Start(0))
            .unwrap();

        loop {
            let token = match self
                .hub
                .auth
                .get_token(&self._scopes.iter().map(String::as_str).collect::<Vec<_>>()[..])
                .await
            {
                Ok(token) => token,
                Err(e) => match dlg.token(e) {
                    Ok(token) => token,
                    Err(e) => {
                        dlg.finished(false);
                        return Err(common::Error::MissingToken(e));
                    }
                },
            };
            request_value_reader
                .seek(std::io::SeekFrom::Start(0))
                .unwrap();
            let mut req_result = {
                let client = &self.hub.client;
                dlg.pre_request();
                let mut req_builder = hyper::Request::builder()
                    .method(hyper::Method::PUT)
                    .uri(url.as_str())
                    .header(USER_AGENT, self.hub._user_agent.clone());

                if let Some(token) = token.as_ref() {
                    req_builder = req_builder.header(AUTHORIZATION, format!("Bearer {}", token));
                }

                let request = req_builder
                    .header(CONTENT_TYPE, json_mime_type.to_string())
                    .header(CONTENT_LENGTH, request_size as u64)
                    .body(common::to_body(
                        request_value_reader.get_ref().clone().into(),
                    ));

                client.request(request.unwrap()).await
            };

            match req_result {
                Err(err) => {
                    if let common::Retry::After(d) = dlg.http_error(&err) {
                        sleep(d).await;
                        continue;
                    }
                    dlg.finished(false);
                    return Err(common::Error::HttpError(err));
                }
                Ok(res) => {
                    let (mut parts, body) = res.into_parts();
                    let mut body = common::Body::new(body);
                    if !parts.status.is_success() {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let error = serde_json::from_str(&common::to_string(&bytes));
                        let response = common::to_response(parts, bytes.into());

                        if let common::Retry::After(d) =
                            dlg.http_failure(&response, error.as_ref().ok())
                        {
                            sleep(d).await;
                            continue;
                        }

                        dlg.finished(false);

                        return Err(match error {
                            Ok(value) => common::Error::BadRequest(value),
                            _ => common::Error::Failure(response),
                        });
                    }
                    let response = {
                        let bytes = common::to_bytes(body).await.unwrap_or_default();
                        let encoded = common::to_string(&bytes);
                        match serde_json::from_str(&encoded) {
                            Ok(decoded) => (common::to_response(parts, bytes.into()), decoded),
                            Err(error) => {
                                dlg.response_json_decode_error(&encoded, &error);
                                return Err(common::Error::JsonDecodeError(
                                    encoded.to_string(),
                                    error,
                                ));
                            }
                        }
                    };

                    dlg.finished(true);
                    return Ok(response);
                }
            }
        }
    }

    ///
    /// Sets the *request* property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn request(mut self, new_value: Update) -> TrainedmodelUpdateCall<'a, C> {
        self._request = new_value;
        self
    }
    /// The project associated with the model.
    ///
    /// Sets the *project* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn project(mut self, new_value: &str) -> TrainedmodelUpdateCall<'a, C> {
        self._project = new_value.to_string();
        self
    }
    /// The unique name for the predictive model.
    ///
    /// Sets the *id* path property to the given value.
    ///
    /// Even though the property as already been set when instantiating this call,
    /// we provide this method for API completeness.
    pub fn id(mut self, new_value: &str) -> TrainedmodelUpdateCall<'a, C> {
        self._id = new_value.to_string();
        self
    }
    /// The delegate implementation is consulted whenever there is an intermediate result, or if something goes wrong
    /// while executing the actual API request.
    ///
    /// ````text
    ///                   It should be used to handle progress information, and to implement a certain level of resilience.
    /// ````
    ///
    /// Sets the *delegate* property to the given value.
    pub fn delegate(
        mut self,
        new_value: &'a mut dyn common::Delegate,
    ) -> TrainedmodelUpdateCall<'a, C> {
        self._delegate = Some(new_value);
        self
    }

    /// Set any additional parameter of the query string used in the request.
    /// It should be used to set parameters which are not yet available through their own
    /// setters.
    ///
    /// Please note that this method must not be used to set any of the known parameters
    /// which have their own setter method. If done anyway, the request will fail.
    ///
    /// # Additional Parameters
    ///
    /// * *alt* (query-string) - Data format for the response.
    /// * *fields* (query-string) - Selector specifying which fields to include in a partial response.
    /// * *key* (query-string) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
    /// * *oauth_token* (query-string) - OAuth 2.0 token for the current user.
    /// * *prettyPrint* (query-boolean) - Returns response with indentations and line breaks.
    /// * *quotaUser* (query-string) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
    /// * *userIp* (query-string) - IP address of the site where the request originates. Use this if you want to enforce per-user limits.
    pub fn param<T>(mut self, name: T, value: T) -> TrainedmodelUpdateCall<'a, C>
    where
        T: AsRef<str>,
    {
        self._additional_params
            .insert(name.as_ref().to_string(), value.as_ref().to_string());
        self
    }

    /// Identifies the authorization scope for the method you are building.
    ///
    /// Use this method to actively specify which scope should be used, instead of the default [`Scope`] variant
    /// [`Scope::CloudPlatform`].
    ///
    /// The `scope` will be added to a set of scopes. This is important as one can maintain access
    /// tokens for more than one scope.
    ///
    /// Usually there is more than one suitable scope to authorize an operation, some of which may
    /// encompass more rights than others. For example, for listing resources, a *read-only* scope will be
    /// sufficient, a read-write scope will do as well.
    pub fn add_scope<St>(mut self, scope: St) -> TrainedmodelUpdateCall<'a, C>
    where
        St: AsRef<str>,
    {
        self._scopes.insert(String::from(scope.as_ref()));
        self
    }
    /// Identifies the authorization scope(s) for the method you are building.
    ///
    /// See [`Self::add_scope()`] for details.
    pub fn add_scopes<I, St>(mut self, scopes: I) -> TrainedmodelUpdateCall<'a, C>
    where
        I: IntoIterator<Item = St>,
        St: AsRef<str>,
    {
        self._scopes
            .extend(scopes.into_iter().map(|s| String::from(s.as_ref())));
        self
    }

    /// Removes all scopes, and no default scope will be used either.
    /// In this case, you have to specify your API-key using the `key` parameter (see [`Self::param()`]
    /// for details).
    pub fn clear_scopes(mut self) -> TrainedmodelUpdateCall<'a, C> {
        self._scopes.clear();
        self
    }
}