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| 1 | +// {cat=Observability; effects=cats-effect; server=Netty; json=circe}: Otel4s collecting metrics |
| 2 | + |
| 3 | +//> using dep com.softwaremill.sttp.tapir::tapir-core:1.11.44 |
| 4 | +//> using dep com.softwaremill.sttp.tapir::tapir-netty-server-cats:1.11.44 |
| 5 | +//> using dep com.softwaremill.sttp.tapir::tapir-json-circe:1.11.44 |
| 6 | +//> using dep com.softwaremill.sttp.tapir::tapir-otel4s-metrics:1.11.44 |
| 7 | +//> using dep "org.typelevel::otel4s-oteljava:0.13.1" |
| 8 | +//> using deps io.opentelemetry:opentelemetry-exporter-otlp:1.54.0 |
| 9 | +//> using dep "io.opentelemetry:opentelemetry-sdk-extension-autoconfigure:1.54.0" |
| 10 | +//> using dep ch.qos.logback:logback-classic:1.5.18 |
| 11 | + |
| 12 | +package sttp.tapir.examples.observability |
| 13 | + |
| 14 | +import cats.effect |
| 15 | +import cats.effect.std.Dispatcher |
| 16 | +import cats.effect.{IO, IOApp} |
| 17 | +import io.circe.generic.auto.* |
| 18 | +import sttp.tapir.* |
| 19 | +import sttp.tapir.generic.auto.* |
| 20 | +import sttp.tapir.json.circe.jsonBody |
| 21 | +import sttp.tapir.server.netty.cats.{NettyCatsServer, NettyCatsServerOptions} |
| 22 | +import sttp.tapir.server.metrics.otel4s.Otel4sMetrics |
| 23 | +import org.slf4j.{Logger, LoggerFactory} |
| 24 | +import org.typelevel.otel4s.metrics.Meter |
| 25 | +import org.typelevel.otel4s.oteljava.OtelJava |
| 26 | + |
| 27 | +import scala.concurrent.duration.* |
| 28 | +import sttp.tapir.server.ServerEndpoint |
| 29 | + |
| 30 | +import scala.io.StdIn |
| 31 | + |
| 32 | +/** This example application demonstrates how to implement metrics in a Scala application using the <a |
| 33 | + * href="https://github.com/typelevel/otel4s"> otel4s library </a>. More info about oltel4s you may find <a |
| 34 | + * href="https://typelevel.org/otel4s/">here</a> |
| 35 | + * |
| 36 | + * In order to run otel collector and collect metrics in Prometheus format, you can run it using Docker with the following command: |
| 37 | + * {{{ |
| 38 | + * cat > otel-config.yaml << 'EOF' |
| 39 | + * receivers: |
| 40 | + * otlp: |
| 41 | + * protocols: |
| 42 | + * grpc: |
| 43 | + * endpoint: 0.0.0.0:4317 |
| 44 | + * exporters: |
| 45 | + * prometheus: |
| 46 | + * endpoint: 0.0.0.0:8889 |
| 47 | + * service: |
| 48 | + * pipelines: |
| 49 | + * metrics: |
| 50 | + * receivers: [otlp] |
| 51 | + * exporters: [prometheus] |
| 52 | + * EOF |
| 53 | + * |
| 54 | + * docker run -p 4317:4317 -p 8889:8889 -v $(pwd)/otel-config.yaml:/etc/otelcol-contrib/config.yaml otel/opentelemetry-collector-contrib:latest |
| 55 | + * }}} |
| 56 | + * You can find the collected metrics in prometheus format at http://localhost:8889/metrics |
| 57 | + */ |
| 58 | +object Otel4sMetricsExample extends IOApp.Simple: |
| 59 | + private val logger: Logger = LoggerFactory.getLogger(this.getClass.getName) |
| 60 | + |
| 61 | + override def run: IO[Unit] = otel |
| 62 | + .use { otel4s => |
| 63 | + otel4s.meterProvider |
| 64 | + .get("sttp.tapir.examples.observability") |
| 65 | + .flatMap { case given Meter[IO] => server() } |
| 66 | + } |
| 67 | + |
| 68 | + private def server()(using meter: Meter[IO]): IO[Unit] = |
| 69 | + Dispatcher |
| 70 | + .parallel[IO] |
| 71 | + .map(dispatcher => |
| 72 | + NettyCatsServer( |
| 73 | + NettyCatsServerOptions |
| 74 | + .customiseInterceptors(dispatcher) |
| 75 | + .metricsInterceptor(Otel4sMetrics.default(meter).metricsInterceptor()) |
| 76 | + .options |
| 77 | + ) |
| 78 | + ) |
| 79 | + .use { server => |
| 80 | + for { |
| 81 | + bind <- server |
| 82 | + .port(8080) |
| 83 | + .host("localhost") |
| 84 | + .addEndpoint(personEndpoint) |
| 85 | + .start() |
| 86 | + _ <- IO |
| 87 | + .blocking { |
| 88 | + logger.info(s"""Server started. Try it with: curl -X POST ${bind.hostName}:${bind.port}/person -d '{"name": "Jacob"}'""") |
| 89 | + logger.info("Press ENTER key to exit.") |
| 90 | + StdIn.readLine() |
| 91 | + |
| 92 | + } |
| 93 | + .guarantee(bind.stop()) |
| 94 | + } yield () |
| 95 | + } |
| 96 | + |
| 97 | + private def otel: effect.Resource[IO, OtelJava[IO]] = { |
| 98 | + // Please notice in your, production cases could be better to use env variable instead. |
| 99 | + // Under following link you may find more details about configuration https://typelevel.org/otel4s/sdk/configuration.html |
| 100 | + System.setProperty("otel.java.global-autoconfigure.enabled", "true") |
| 101 | + System.setProperty("otel.service.name", "Otel4s-Metrics-Example") |
| 102 | + OtelJava.autoConfigured[IO]() |
| 103 | + } |
| 104 | + |
| 105 | + case class Person(name: String) |
| 106 | + |
| 107 | + // Simple endpoint returning 200 or 400 response with string body |
| 108 | + val personEndpoint: ServerEndpoint[Any, IO] = |
| 109 | + endpoint.post |
| 110 | + .in("person") |
| 111 | + .in(jsonBody[Person]) |
| 112 | + .out(stringBody) |
| 113 | + .errorOut(stringBody) |
| 114 | + .serverLogic { p => |
| 115 | + IO.sleep(3.seconds) *> |
| 116 | + IO.pure(Either.cond(p.name == "Jacob", "Welcome", "Unauthorized")) |
| 117 | + } |
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