Struct SensitiveDataScannerRuleRelationships

#[non_exhaustive]
pub struct SensitiveDataScannerRuleRelationships {
    pub group: Option<SensitiveDataScannerGroupData>,
    pub standard_pattern: Option<SensitiveDataScannerStandardPatternData>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

Relationships of a scanning rule.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

group: Option<SensitiveDataScannerGroupData>

A scanning group data.

standard_pattern: Option<SensitiveDataScannerStandardPatternData>

A standard pattern.

additional_properties: BTreeMap<String, Value>

Implementations

impl SensitiveDataScannerRuleRelationships

pub fn new() -> SensitiveDataScannerRuleRelationships

Examples found in repository

examples/v2_sensitive-data-scanner_CreateScanningRule.rs (line 41)

async fn main() {
    // there is a valid "scanning_group" in the system
    let group_data_id = std::env::var("GROUP_DATA_ID").unwrap();
    let body = SensitiveDataScannerRuleCreateRequest::new(
        SensitiveDataScannerRuleCreate::new(
            SensitiveDataScannerRuleAttributes::new()
                .excluded_namespaces(vec!["admin.name".to_string()])
                .included_keyword_configuration(
                    SensitiveDataScannerIncludedKeywordConfiguration::new(
                        35,
                        vec!["credit card".to_string()],
                    ),
                )
                .is_enabled(true)
                .name("Example-Sensitive-Data-Scanner".to_string())
                .namespaces(vec!["admin".to_string()])
                .pattern("pattern".to_string())
                .priority(1)
                .tags(vec!["sensitive_data:true".to_string()])
                .text_replacement(
                    SensitiveDataScannerTextReplacement::new()
                        .type_(SensitiveDataScannerTextReplacementType::NONE),
                ),
            SensitiveDataScannerRuleRelationships::new().group(
                SensitiveDataScannerGroupData::new().data(
                    SensitiveDataScannerGroup::new()
                        .id(group_data_id.clone())
                        .type_(SensitiveDataScannerGroupType::SENSITIVE_DATA_SCANNER_GROUP),
                ),
            ),
            SensitiveDataScannerRuleType::SENSITIVE_DATA_SCANNER_RULE,
        ),
        SensitiveDataScannerMetaVersionOnly::new(),
    );
    let configuration = datadog::Configuration::new();
    let api = SensitiveDataScannerAPI::with_config(configuration);
    let resp = api.create_scanning_rule(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn group(self, value: SensitiveDataScannerGroupData) -> Self

Examples found in repository

examples/v2_sensitive-data-scanner_CreateScanningRule.rs (lines 41-47)

async fn main() {
    // there is a valid "scanning_group" in the system
    let group_data_id = std::env::var("GROUP_DATA_ID").unwrap();
    let body = SensitiveDataScannerRuleCreateRequest::new(
        SensitiveDataScannerRuleCreate::new(
            SensitiveDataScannerRuleAttributes::new()
                .excluded_namespaces(vec!["admin.name".to_string()])
                .included_keyword_configuration(
                    SensitiveDataScannerIncludedKeywordConfiguration::new(
                        35,
                        vec!["credit card".to_string()],
                    ),
                )
                .is_enabled(true)
                .name("Example-Sensitive-Data-Scanner".to_string())
                .namespaces(vec!["admin".to_string()])
                .pattern("pattern".to_string())
                .priority(1)
                .tags(vec!["sensitive_data:true".to_string()])
                .text_replacement(
                    SensitiveDataScannerTextReplacement::new()
                        .type_(SensitiveDataScannerTextReplacementType::NONE),
                ),
            SensitiveDataScannerRuleRelationships::new().group(
                SensitiveDataScannerGroupData::new().data(
                    SensitiveDataScannerGroup::new()
                        .id(group_data_id.clone())
                        .type_(SensitiveDataScannerGroupType::SENSITIVE_DATA_SCANNER_GROUP),
                ),
            ),
            SensitiveDataScannerRuleType::SENSITIVE_DATA_SCANNER_RULE,
        ),
        SensitiveDataScannerMetaVersionOnly::new(),
    );
    let configuration = datadog::Configuration::new();
    let api = SensitiveDataScannerAPI::with_config(configuration);
    let resp = api.create_scanning_rule(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn standard_pattern( self, value: SensitiveDataScannerStandardPatternData, ) -> Self

pub fn additional_properties(self, value: BTreeMap<String, Value>) -> Self

Trait Implementations

impl Clone for SensitiveDataScannerRuleRelationships

fn clone(&self) -> SensitiveDataScannerRuleRelationships

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SensitiveDataScannerRuleRelationships

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SensitiveDataScannerRuleRelationships

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SensitiveDataScannerRuleRelationships

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for SensitiveDataScannerRuleRelationships

fn eq(&self, other: &SensitiveDataScannerRuleRelationships) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for SensitiveDataScannerRuleRelationships

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for SensitiveDataScannerRuleRelationships