Struct WorkflowData

#[non_exhaustive]
pub struct WorkflowData {
    pub attributes: WorkflowDataAttributes,
    pub id: Option<String>,
    pub relationships: Option<WorkflowDataRelationships>,
    pub type_: WorkflowDataType,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

Data related to the workflow.

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.

attributes: WorkflowDataAttributes

The definition of WorkflowDataAttributes object.

id: Option<String>

The workflow identifier

relationships: Option<WorkflowDataRelationships>

The definition of WorkflowDataRelationships object.

type_: WorkflowDataType

The definition of WorkflowDataType object.

additional_properties: BTreeMap<String, Value>

Implementations

impl WorkflowData

pub fn new( attributes: WorkflowDataAttributes, type_: WorkflowDataType, ) -> WorkflowData

Examples found in repository

examples/v2_workflow-automation_CreateWorkflow.rs (lines 31-93)

async fn main() {
    let body = CreateWorkflowRequest::new(WorkflowData::new(
        WorkflowDataAttributes::new(
            "Example Workflow".to_string(),
            Spec::new()
                .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
                    .connections(vec![Connection::new(
                        "11111111-1111-1111-1111-111111111111".to_string(),
                        "INTEGRATION_DATADOG".to_string(),
                    )])])
                .input_schema(InputSchema::new().parameters(vec![
                                    InputSchemaParameters::new(
                                        "input".to_string(),
                                        InputSchemaParametersType::STRING,
                                    ).default_value(Value::from("default"))
                                ]))
                .output_schema(OutputSchema::new().parameters(vec![
                                    OutputSchemaParameters::new(
                                        "output".to_string(),
                                        OutputSchemaParametersType::ARRAY_OBJECT,
                                    ).value(Value::from("outputValue"))
                                ]))
                .steps(vec![
                    Step::new(
                        "com.datadoghq.dd.monitor.listMonitors".to_string(),
                        "Step1".to_string(),
                    )
                    .connection_label("INTEGRATION_DATADOG".to_string())
                    .outbound_edges(vec![OutboundEdge::new(
                        "main".to_string(),
                        "Step2".to_string(),
                    )])
                    .parameters(vec![Parameter::new(
                        "tags".to_string(),
                        Value::from("service:monitoring"),
                    )]),
                    Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
                ])
                .triggers(vec![
                    Trigger::MonitorTriggerWrapper(Box::new(
                        MonitorTriggerWrapper::new(
                            MonitorTrigger::new().rate_limit(
                                TriggerRateLimit::new()
                                    .count(1)
                                    .interval("3600s".to_string()),
                            ),
                        )
                        .start_step_names(vec!["Step1".to_string()]),
                    )),
                    Trigger::GithubWebhookTriggerWrapper(Box::new(
                        GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
                            .start_step_names(vec!["Step1".to_string()]),
                    )),
                ]),
        )
        .description("A sample workflow.".to_string())
        .published(true)
        .tags(vec![
            "team:infra".to_string(),
            "service:monitoring".to_string(),
            "foo:bar".to_string(),
        ]),
        WorkflowDataType::WORKFLOWS,
    ));
    let configuration = datadog::Configuration::new();
    let api = WorkflowAutomationAPI::with_config(configuration);
    let resp = api.create_workflow(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub fn id(self, value: String) -> Self

pub fn relationships(self, value: WorkflowDataRelationships) -> Self

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

Trait Implementations

impl Clone for WorkflowData

fn clone(&self) -> WorkflowData

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WorkflowData

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for WorkflowData

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for WorkflowData

fn eq(&self, other: &WorkflowData) -> 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 WorkflowData

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 WorkflowData