datadog_api_client::datadogV2::model::model_input_schema

Struct InputSchema

Source 
#[non_exhaustive]
pub struct InputSchema {
    pub parameters: Option<Vec<InputSchemaParameters>>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}
Expand description

A list of input parameters for the workflow. These can be used as dynamic runtime values in your workflow.

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.
§parameters: Option<Vec<InputSchemaParameters>>

The InputSchema parameters.

§additional_properties: BTreeMap<String, Value>

Implementations§

Source§

impl InputSchema

Source

pub fn new() -> InputSchema

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (line 40)
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}
More examples
Hide additional examples
examples/v2_workflow-automation_UpdateWorkflow.rs (line 46)
30async fn main() {
31    // there is a valid "workflow" in the system
32    let workflow_data_id = std::env::var("WORKFLOW_DATA_ID").unwrap();
33    let body = UpdateWorkflowRequest::new(
34        WorkflowDataUpdate::new(
35            WorkflowDataUpdateAttributes::new()
36                .description("A sample workflow.".to_string())
37                .name("Example Workflow".to_string())
38                .published(true)
39                .spec(
40                    Spec::new()
41                        .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
42                            .connections(vec![Connection::new(
43                                "11111111-1111-1111-1111-111111111111".to_string(),
44                                "INTEGRATION_DATADOG".to_string(),
45                            )])])
46                        .input_schema(InputSchema::new().parameters(vec![
47                                        InputSchemaParameters::new(
48                                            "input".to_string(),
49                                            InputSchemaParametersType::STRING,
50                                        ).default_value(Value::from("default"))
51                                    ]))
52                        .output_schema(OutputSchema::new().parameters(vec![
53                                        OutputSchemaParameters::new(
54                                            "output".to_string(),
55                                            OutputSchemaParametersType::ARRAY_OBJECT,
56                                        ).value(Value::from("outputValue"))
57                                    ]))
58                        .steps(vec![
59                            Step::new(
60                                "com.datadoghq.dd.monitor.listMonitors".to_string(),
61                                "Step1".to_string(),
62                            )
63                            .connection_label("INTEGRATION_DATADOG".to_string())
64                            .outbound_edges(vec![OutboundEdge::new(
65                                "main".to_string(),
66                                "Step2".to_string(),
67                            )])
68                            .parameters(vec![Parameter::new(
69                                "tags".to_string(),
70                                Value::from("service:monitoring"),
71                            )]),
72                            Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
73                        ])
74                        .triggers(vec![
75                            Trigger::MonitorTriggerWrapper(Box::new(
76                                MonitorTriggerWrapper::new(
77                                    MonitorTrigger::new().rate_limit(
78                                        TriggerRateLimit::new()
79                                            .count(1)
80                                            .interval("3600s".to_string()),
81                                    ),
82                                )
83                                .start_step_names(vec!["Step1".to_string()]),
84                            )),
85                            Trigger::GithubWebhookTriggerWrapper(Box::new(
86                                GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
87                                    .start_step_names(vec!["Step1".to_string()]),
88                            )),
89                        ]),
90                )
91                .tags(vec![
92                    "team:infra".to_string(),
93                    "service:monitoring".to_string(),
94                    "foo:bar".to_string(),
95                ]),
96            WorkflowDataType::WORKFLOWS,
97        )
98        .id("22222222-2222-2222-2222-222222222222".to_string()),
99    );
100    let configuration = datadog::Configuration::new();
101    let api = WorkflowAutomationAPI::with_config(configuration);
102    let resp = api.update_workflow(workflow_data_id.clone(), body).await;
103    if let Ok(value) = resp {
104        println!("{:#?}", value);
105    } else {
106        println!("{:#?}", resp.unwrap_err());
107    }
108}
Source

pub fn parameters(self, value: Vec<InputSchemaParameters>) -> Self

Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (lines 40-45)
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}
More examples
Hide additional examples
examples/v2_workflow-automation_UpdateWorkflow.rs (lines 46-51)
30async fn main() {
31    // there is a valid "workflow" in the system
32    let workflow_data_id = std::env::var("WORKFLOW_DATA_ID").unwrap();
33    let body = UpdateWorkflowRequest::new(
34        WorkflowDataUpdate::new(
35            WorkflowDataUpdateAttributes::new()
36                .description("A sample workflow.".to_string())
37                .name("Example Workflow".to_string())
38                .published(true)
39                .spec(
40                    Spec::new()
41                        .connection_envs(vec![ConnectionEnv::new(ConnectionEnvEnv::DEFAULT)
42                            .connections(vec![Connection::new(
43                                "11111111-1111-1111-1111-111111111111".to_string(),
44                                "INTEGRATION_DATADOG".to_string(),
45                            )])])
46                        .input_schema(InputSchema::new().parameters(vec![
47                                        InputSchemaParameters::new(
48                                            "input".to_string(),
49                                            InputSchemaParametersType::STRING,
50                                        ).default_value(Value::from("default"))
51                                    ]))
52                        .output_schema(OutputSchema::new().parameters(vec![
53                                        OutputSchemaParameters::new(
54                                            "output".to_string(),
55                                            OutputSchemaParametersType::ARRAY_OBJECT,
56                                        ).value(Value::from("outputValue"))
57                                    ]))
58                        .steps(vec![
59                            Step::new(
60                                "com.datadoghq.dd.monitor.listMonitors".to_string(),
61                                "Step1".to_string(),
62                            )
63                            .connection_label("INTEGRATION_DATADOG".to_string())
64                            .outbound_edges(vec![OutboundEdge::new(
65                                "main".to_string(),
66                                "Step2".to_string(),
67                            )])
68                            .parameters(vec![Parameter::new(
69                                "tags".to_string(),
70                                Value::from("service:monitoring"),
71                            )]),
72                            Step::new("com.datadoghq.core.noop".to_string(), "Step2".to_string()),
73                        ])
74                        .triggers(vec![
75                            Trigger::MonitorTriggerWrapper(Box::new(
76                                MonitorTriggerWrapper::new(
77                                    MonitorTrigger::new().rate_limit(
78                                        TriggerRateLimit::new()
79                                            .count(1)
80                                            .interval("3600s".to_string()),
81                                    ),
82                                )
83                                .start_step_names(vec!["Step1".to_string()]),
84                            )),
85                            Trigger::GithubWebhookTriggerWrapper(Box::new(
86                                GithubWebhookTriggerWrapper::new(GithubWebhookTrigger::new())
87                                    .start_step_names(vec!["Step1".to_string()]),
88                            )),
89                        ]),
90                )
91                .tags(vec![
92                    "team:infra".to_string(),
93                    "service:monitoring".to_string(),
94                    "foo:bar".to_string(),
95                ]),
96            WorkflowDataType::WORKFLOWS,
97        )
98        .id("22222222-2222-2222-2222-222222222222".to_string()),
99    );
100    let configuration = datadog::Configuration::new();
101    let api = WorkflowAutomationAPI::with_config(configuration);
102    let resp = api.update_workflow(workflow_data_id.clone(), body).await;
103    if let Ok(value) = resp {
104        println!("{:#?}", value);
105    } else {
106        println!("{:#?}", resp.unwrap_err());
107    }
108}
Source

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

Trait Implementations§

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impl Clone for InputSchema

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fn clone(&self) -> InputSchema

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 InputSchema

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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 Default for InputSchema

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for InputSchema

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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 InputSchema

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

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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 InputSchema

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where T: 'static + ?Sized,

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Gets the TypeId of self. Read more
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where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T> Instrument for T

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fn instrument(self, span: Span) -> Instrumented<Self>

Instruments this type with the provided Span, returning an Instrumented wrapper. Read more
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where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
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type Error = <U as TryFrom<T>>::Error

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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V

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fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self>
where S: Into<Dispatch>,

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