Struct OutboundEdge 

#[non_exhaustive]
pub struct OutboundEdge {
    pub branch_name: String,
    pub next_step_name: String,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

The definition of OutboundEdge object.

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.

branch_name: String

The OutboundEdge branchName.

next_step_name: String

The OutboundEdge nextStepName.

additional_properties: BTreeMap<String, Value>

Implementations

impl OutboundEdge

pub fn new(branch_name: String, next_step_name: String) -> OutboundEdge

Examples found in repository

examples/v2_workflow-automation_CreateWorkflow.rs (lines 58-61)

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());
    }
}

examples/v2_workflow-automation_UpdateWorkflow.rs (lines 64-67)

async fn main() {
    // there is a valid "workflow" in the system
    let workflow_data_id = std::env::var("WORKFLOW_DATA_ID").unwrap();
    let body = UpdateWorkflowRequest::new(
        WorkflowDataUpdate::new(
            WorkflowDataUpdateAttributes::new()
                .description("A sample workflow.".to_string())
                .name("Example Workflow".to_string())
                .published(true)
                .spec(
                    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()]),
                            )),
                        ]),
                )
                .tags(vec![
                    "team:infra".to_string(),
                    "service:monitoring".to_string(),
                    "foo:bar".to_string(),
                ]),
            WorkflowDataType::WORKFLOWS,
        )
        .id("22222222-2222-2222-2222-222222222222".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = WorkflowAutomationAPI::with_config(configuration);
    let resp = api.update_workflow(workflow_data_id.clone(), body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

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

Trait Implementations

impl Clone for OutboundEdge

fn clone(&self) -> OutboundEdge

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OutboundEdge

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for OutboundEdge

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

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for OutboundEdge

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

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 OutboundEdge