v1_logs_pipelines_UpdateLogsPipeline/
v1_logs-pipelines_UpdateLogsPipeline.rs

1// Update 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
37        .update_logs_pipeline("pipeline_id".to_string(), body)
38        .await;
39    if let Ok(value) = resp {
40        println!("{:#?}", value);
41    } else {
42        println!("{:#?}", resp.unwrap_err());
43    }
44}