v1_logs_pipelines_CreateLogsPipeline/
v1_logs-pipelines_CreateLogsPipeline.rs

1// Create a pipeline returns "OK" response
2use datadog_api_client::datadog;
3use datadog_api_client::datadogV1::api_logs_pipelines::LogsPipelinesAPI;
4use datadog_api_client::datadogV1::model::LogsFilter;
5use datadog_api_client::datadogV1::model::LogsGrokParser;
6use datadog_api_client::datadogV1::model::LogsGrokParserRules;
7use datadog_api_client::datadogV1::model::LogsGrokParserType;
8use datadog_api_client::datadogV1::model::LogsPipeline;
9use datadog_api_client::datadogV1::model::LogsProcessor;
10
11#[tokio::main]
12async fn main() {
13    let body = LogsPipeline::new("".to_string())
14        .filter(LogsFilter::new().query("source:python".to_string()))
15        .processors(vec![LogsProcessor::LogsGrokParser(Box::new(
16            LogsGrokParser::new(
17                LogsGrokParserRules::new(
18                    r#"rule_name_1 foo
19rule_name_2 bar"#
20                        .to_string(),
21                )
22                .support_rules(
23                    r#"rule_name_1 foo
24rule_name_2 bar"#
25                        .to_string(),
26                ),
27                "message".to_string(),
28                LogsGrokParserType::GROK_PARSER,
29            )
30            .is_enabled(false)
31            .samples(vec![]),
32        ))])
33        .tags(vec![]);
34    let configuration = datadog::Configuration::new();
35    let api = LogsPipelinesAPI::with_config(configuration);
36    let resp = api.create_logs_pipeline(body).await;
37    if let Ok(value) = resp {
38        println!("{:#?}", value);
39    } else {
40        println!("{:#?}", resp.unwrap_err());
41    }
42}