#[non_exhaustive]pub struct OutputSchema {
pub parameters: Option<Vec<OutputSchemaParameters>>,
pub additional_properties: BTreeMap<String, Value>,
/* private fields */
}
Expand description
A list of output parameters for the 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<OutputSchemaParameters>>
The OutputSchema
parameters
.
additional_properties: BTreeMap<String, Value>
Implementations§
Source§impl OutputSchema
impl OutputSchema
Sourcepub fn new() -> OutputSchema
pub fn new() -> OutputSchema
Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (line 46)
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
examples/v2_workflow-automation_UpdateWorkflow.rs (line 52)
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}
Sourcepub fn parameters(self, value: Vec<OutputSchemaParameters>) -> Self
pub fn parameters(self, value: Vec<OutputSchemaParameters>) -> Self
Examples found in repository?
examples/v2_workflow-automation_CreateWorkflow.rs (lines 46-51)
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
examples/v2_workflow-automation_UpdateWorkflow.rs (lines 52-57)
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}
pub fn additional_properties(self, value: BTreeMap<String, Value>) -> Self
Trait Implementations§
Source§impl Clone for OutputSchema
impl Clone for OutputSchema
Source§fn clone(&self) -> OutputSchema
fn clone(&self) -> OutputSchema
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moreSource§impl Debug for OutputSchema
impl Debug for OutputSchema
Source§impl Default for OutputSchema
impl Default for OutputSchema
Source§impl<'de> Deserialize<'de> for OutputSchema
impl<'de> Deserialize<'de> for OutputSchema
Source§fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>where
D: Deserializer<'de>,
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>where
D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Source§impl PartialEq for OutputSchema
impl PartialEq for OutputSchema
Source§impl Serialize for OutputSchema
impl Serialize for OutputSchema
impl StructuralPartialEq for OutputSchema
Auto Trait Implementations§
impl Freeze for OutputSchema
impl RefUnwindSafe for OutputSchema
impl Send for OutputSchema
impl Sync for OutputSchema
impl Unpin for OutputSchema
impl UnwindSafe for OutputSchema
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more