datadog_api_client::datadogV2::model::model_workflow_data_attributes

Struct WorkflowDataAttributes

Source 
#[non_exhaustive]
pub struct WorkflowDataAttributes {
    pub created_at: Option<DateTime<Utc>>,
    pub description: Option<String>,
    pub name: String,
    pub published: Option<bool>,
    pub spec: Spec,
    pub tags: Option<Vec<String>>,
    pub updated_at: Option<DateTime<Utc>>,
    pub webhook_secret: Option<String>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}
Expand description

The definition of WorkflowDataAttributes object.

Fields (Non-exhaustive)§

This struct is marked as 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.
§created_at: Option<DateTime<Utc>>

When the workflow was created.

§description: Option<String>

Description of the workflow.

§name: String

Name of the workflow.

§published: Option<bool>

Set the workflow to published or unpublished. Workflows in an unpublished state will only be executable via manual runs. Automatic triggers such as Schedule will not execute the workflow until it is published.

§spec: Spec

The spec defines what the workflow does.

§tags: Option<Vec<String>>

Tags of the workflow.

§updated_at: Option<DateTime<Utc>>

When the workflow was last updated.

§webhook_secret: Option<String>

If a Webhook trigger is defined on this workflow, a webhookSecret is required and should be provided here.

§additional_properties: BTreeMap<String, Value>

Implementations§

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impl WorkflowDataAttributes

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pub fn new(name: String, spec: Spec) -> WorkflowDataAttributes

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (lines 32-84)
30async fn main() {
31    let body = CreateWorkflowRequest::new(WorkflowData::new(
32        WorkflowDataAttributes::new(
33            "Example Workflow".to_string(),
34            Spec::new()
35                .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
36                    .connections(vec![Connection::new(
37                        "11111111-1111-1111-1111-111111111111".to_string(),
38                        "INTEGRATION_DATADOG".to_string(),
39                    )])])
40                .input_schema(InputSchema::new().parameters(vec![
41                                    InputSchemaParameters::new(
42                                        "input".to_string(),
43                                        InputSchemaParametersType::STRING,
44                                    ).default_value(Value::from("default"))
45                                ]))
46                .output_schema(OutputSchema::new().parameters(vec![
47                                    OutputSchemaParameters::new(
48                                        "output".to_string(),
49                                        OutputSchemaParametersType::ARRAY_OBJECT,
50                                    ).value(Value::from("outputValue"))
51                                ]))
52                .steps(vec![
53                    Step::new(
54                        "com.datadoghq.dd.monitor.listMonitors".to_string(),
55                        "Step1".to_string(),
56                    )
57                    .connection_label("INTEGRATION_DATADOG".to_string())
58                    .outbound_edges(vec![OutboundEdge::new(
59                        "main".to_string(),
60                        "Step2".to_string(),
61                    )])
62                    .parameters(vec![Parameter::new(
63                        "tags".to_string(),
64                        Value::from("service:monitoring"),
65                    )]),
66                    Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
67                ])
68                .triggers(vec![
69                    Trigger::MonitorTriggerWrapper(Box::new(
70                        MonitorTriggerWrapper::new(
71                            MonitorTrigger::new().rate_limit(
72                                TriggerRateLimit::new()
73                                    .count(1)
74                                    .interval("3600s".to_string()),
75                            ),
76                        )
77                        .start_step_names(vec!["Step1".to_string()]),
78                    )),
79                    Trigger::GithubWebhookTriggerWrapper(Box::new(
80                        GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
81                            .start_step_names(vec!["Step1".to_string()]),
82                    )),
83                ]),
84        )
85        .description("A sample workflow.".to_string())
86        .published(true)
87        .tags(vec![
88            "team:infra".to_string(),
89            "service:monitoring".to_string(),
90            "foo:bar".to_string(),
91        ]),
92        WorkflowDataType::WORKFLOWS,
93    ));
94    let configuration = datadog::Configuration::new();
95    let api = WorkflowAutomationAPI::with_config(configuration);
96    let resp = api.create_workflow(body).await;
97    if let Ok(value) = resp {
98        println!("{:#?}", value);
99    } else {
100        println!("{:#?}", resp.unwrap_err());
101    }
102}
Source

pub fn created_at(self, value: DateTime<Utc>) -> Self

Source

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

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (line 85)
30async fn main() {
31    let body = CreateWorkflowRequest::new(WorkflowData::new(
32        WorkflowDataAttributes::new(
33            "Example Workflow".to_string(),
34            Spec::new()
35                .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
36                    .connections(vec![Connection::new(
37                        "11111111-1111-1111-1111-111111111111".to_string(),
38                        "INTEGRATION_DATADOG".to_string(),
39                    )])])
40                .input_schema(InputSchema::new().parameters(vec![
41                                    InputSchemaParameters::new(
42                                        "input".to_string(),
43                                        InputSchemaParametersType::STRING,
44                                    ).default_value(Value::from("default"))
45                                ]))
46                .output_schema(OutputSchema::new().parameters(vec![
47                                    OutputSchemaParameters::new(
48                                        "output".to_string(),
49                                        OutputSchemaParametersType::ARRAY_OBJECT,
50                                    ).value(Value::from("outputValue"))
51                                ]))
52                .steps(vec![
53                    Step::new(
54                        "com.datadoghq.dd.monitor.listMonitors".to_string(),
55                        "Step1".to_string(),
56                    )
57                    .connection_label("INTEGRATION_DATADOG".to_string())
58                    .outbound_edges(vec![OutboundEdge::new(
59                        "main".to_string(),
60                        "Step2".to_string(),
61                    )])
62                    .parameters(vec![Parameter::new(
63                        "tags".to_string(),
64                        Value::from("service:monitoring"),
65                    )]),
66                    Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
67                ])
68                .triggers(vec![
69                    Trigger::MonitorTriggerWrapper(Box::new(
70                        MonitorTriggerWrapper::new(
71                            MonitorTrigger::new().rate_limit(
72                                TriggerRateLimit::new()
73                                    .count(1)
74                                    .interval("3600s".to_string()),
75                            ),
76                        )
77                        .start_step_names(vec!["Step1".to_string()]),
78                    )),
79                    Trigger::GithubWebhookTriggerWrapper(Box::new(
80                        GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
81                            .start_step_names(vec!["Step1".to_string()]),
82                    )),
83                ]),
84        )
85        .description("A sample workflow.".to_string())
86        .published(true)
87        .tags(vec![
88            "team:infra".to_string(),
89            "service:monitoring".to_string(),
90            "foo:bar".to_string(),
91        ]),
92        WorkflowDataType::WORKFLOWS,
93    ));
94    let configuration = datadog::Configuration::new();
95    let api = WorkflowAutomationAPI::with_config(configuration);
96    let resp = api.create_workflow(body).await;
97    if let Ok(value) = resp {
98        println!("{:#?}", value);
99    } else {
100        println!("{:#?}", resp.unwrap_err());
101    }
102}
Source

pub fn published(self, value: bool) -> Self

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (line 86)
30async fn main() {
31    let body = CreateWorkflowRequest::new(WorkflowData::new(
32        WorkflowDataAttributes::new(
33            "Example Workflow".to_string(),
34            Spec::new()
35                .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
36                    .connections(vec![Connection::new(
37                        "11111111-1111-1111-1111-111111111111".to_string(),
38                        "INTEGRATION_DATADOG".to_string(),
39                    )])])
40                .input_schema(InputSchema::new().parameters(vec![
41                                    InputSchemaParameters::new(
42                                        "input".to_string(),
43                                        InputSchemaParametersType::STRING,
44                                    ).default_value(Value::from("default"))
45                                ]))
46                .output_schema(OutputSchema::new().parameters(vec![
47                                    OutputSchemaParameters::new(
48                                        "output".to_string(),
49                                        OutputSchemaParametersType::ARRAY_OBJECT,
50                                    ).value(Value::from("outputValue"))
51                                ]))
52                .steps(vec![
53                    Step::new(
54                        "com.datadoghq.dd.monitor.listMonitors".to_string(),
55                        "Step1".to_string(),
56                    )
57                    .connection_label("INTEGRATION_DATADOG".to_string())
58                    .outbound_edges(vec![OutboundEdge::new(
59                        "main".to_string(),
60                        "Step2".to_string(),
61                    )])
62                    .parameters(vec![Parameter::new(
63                        "tags".to_string(),
64                        Value::from("service:monitoring"),
65                    )]),
66                    Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
67                ])
68                .triggers(vec![
69                    Trigger::MonitorTriggerWrapper(Box::new(
70                        MonitorTriggerWrapper::new(
71                            MonitorTrigger::new().rate_limit(
72                                TriggerRateLimit::new()
73                                    .count(1)
74                                    .interval("3600s".to_string()),
75                            ),
76                        )
77                        .start_step_names(vec!["Step1".to_string()]),
78                    )),
79                    Trigger::GithubWebhookTriggerWrapper(Box::new(
80                        GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
81                            .start_step_names(vec!["Step1".to_string()]),
82                    )),
83                ]),
84        )
85        .description("A sample workflow.".to_string())
86        .published(true)
87        .tags(vec![
88            "team:infra".to_string(),
89            "service:monitoring".to_string(),
90            "foo:bar".to_string(),
91        ]),
92        WorkflowDataType::WORKFLOWS,
93    ));
94    let configuration = datadog::Configuration::new();
95    let api = WorkflowAutomationAPI::with_config(configuration);
96    let resp = api.create_workflow(body).await;
97    if let Ok(value) = resp {
98        println!("{:#?}", value);
99    } else {
100        println!("{:#?}", resp.unwrap_err());
101    }
102}
Source

pub fn tags(self, value: Vec<String>) -> Self

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (lines 87-91)
30async fn main() {
31    let body = CreateWorkflowRequest::new(WorkflowData::new(
32        WorkflowDataAttributes::new(
33            "Example Workflow".to_string(),
34            Spec::new()
35                .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
36                    .connections(vec![Connection::new(
37                        "11111111-1111-1111-1111-111111111111".to_string(),
38                        "INTEGRATION_DATADOG".to_string(),
39                    )])])
40                .input_schema(InputSchema::new().parameters(vec![
41                                    InputSchemaParameters::new(
42                                        "input".to_string(),
43                                        InputSchemaParametersType::STRING,
44                                    ).default_value(Value::from("default"))
45                                ]))
46                .output_schema(OutputSchema::new().parameters(vec![
47                                    OutputSchemaParameters::new(
48                                        "output".to_string(),
49                                        OutputSchemaParametersType::ARRAY_OBJECT,
50                                    ).value(Value::from("outputValue"))
51                                ]))
52                .steps(vec![
53                    Step::new(
54                        "com.datadoghq.dd.monitor.listMonitors".to_string(),
55                        "Step1".to_string(),
56                    )
57                    .connection_label("INTEGRATION_DATADOG".to_string())
58                    .outbound_edges(vec![OutboundEdge::new(
59                        "main".to_string(),
60                        "Step2".to_string(),
61                    )])
62                    .parameters(vec![Parameter::new(
63                        "tags".to_string(),
64                        Value::from("service:monitoring"),
65                    )]),
66                    Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
67                ])
68                .triggers(vec![
69                    Trigger::MonitorTriggerWrapper(Box::new(
70                        MonitorTriggerWrapper::new(
71                            MonitorTrigger::new().rate_limit(
72                                TriggerRateLimit::new()
73                                    .count(1)
74                                    .interval("3600s".to_string()),
75                            ),
76                        )
77                        .start_step_names(vec!["Step1".to_string()]),
78                    )),
79                    Trigger::GithubWebhookTriggerWrapper(Box::new(
80                        GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
81                            .start_step_names(vec!["Step1".to_string()]),
82                    )),
83                ]),
84        )
85        .description("A sample workflow.".to_string())
86        .published(true)
87        .tags(vec![
88            "team:infra".to_string(),
89            "service:monitoring".to_string(),
90            "foo:bar".to_string(),
91        ]),
92        WorkflowDataType::WORKFLOWS,
93    ));
94    let configuration = datadog::Configuration::new();
95    let api = WorkflowAutomationAPI::with_config(configuration);
96    let resp = api.create_workflow(body).await;
97    if let Ok(value) = resp {
98        println!("{:#?}", value);
99    } else {
100        println!("{:#?}", resp.unwrap_err());
101    }
102}
Source

pub fn updated_at(self, value: DateTime<Utc>) -> Self

Source

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

Source

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

Trait Implementations§

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impl Clone for WorkflowDataAttributes

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fn clone(&self) -> WorkflowDataAttributes

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for WorkflowDataAttributes

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

Formats the value using the given formatter. Read more
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impl<'de> Deserialize<'de> for WorkflowDataAttributes

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fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl PartialEq for WorkflowDataAttributes

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

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

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

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

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

Serialize this value into the given Serde serializer. Read more
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impl StructuralPartialEq for WorkflowDataAttributes

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