ngrok API client library for Scala
This library wraps the ngrok HTTP API to make it easier to consume in Scala.
Usage
This library is published on Maven Central.
If using sbt, add the following dependency:
"com.ngrok" %% "ngrok-api-scala % "[use latest version]"
If using Maven, in your pom.xml file, add:
<dependencies>
<dependency>
<groupId>com.ngrok</groupId>
<artifactId>ngrok-api-scala</artifactId>
<version>${ngrok-api-scala.version}</version>
</dependency>
</dependencies>
See the above URL for the latest version of the API client.
Versions of this library are published for Scala 2.12 and Scala 2.13 (the 2.13 version can be used with Scala 3).
Documentation
All objects, methods and properties are documented with Scaladoc for integration with an IDE like IntelliJ IDEA or Eclipse. You can also view the documentation online.
Beyond that, this readme is the best source of documentation for the library.
Versioning
This class library is published to Maven Central using semantic versioning. Breaking changes to the API will only be released with a bump of the major version number. Each released commit is tagged in this repository.
No compatibility promises are made for versions < 1.0.0.
Quickstart
First, use the ngrok dashboard to generate an API key. Store that in a
safe place. Inject it into your application using the environment
variable NGROK_API_KEY. The Ngrok() method will pull from that
environment variable. If you prefer, you can also pass the API key
explicitly.
Create an IP Policy that allows traffic from some subnets
import cats.implicits._
import com.ngrok._
import scala.concurrent.Await
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
class Example extends App {
val ngrok = Ngrok()
Await.result(
ngrok.ipPolicies.create("allow").flatMap(policy =>
List("24.0.0.0/8", "12.0.0.0/8").traverse(
cidr => ngrok.ipPolicyRules.create(cidr, policy.id)
)
),
1.second
)
}
List all online tunnels
import cats.implicits._
import com.ngrok._
import com.ngrok.definitions._
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.Future
import scala.concurrent.duration._
class Example extends App {
val ngrok = Ngrok()
println("Tunnels:")
ngrok.tunnels.list().map(printRecursively(ngrok, _))
private def printRecursively(ngrok: Ngrok, currentPage: Page[TunnelList]): Future[Unit] = {
currentPage.page.tunnels.foreach(println)
currentPage.next()
.map(_
.map(printRecursively(ngrok, _))
.getOrElse(Future.successful(()))
)
}
}
Conventions
Conventional usage of this package is to construct a root Ngrok object
using its apply() method. You can then access API resources using that
object. Do not construct the individual API resource client classes in
your application code.
You can also customize low-level behavior by instantiating the
DefaultNgrokApiClient yourself, and then using it to construct the
Ngrok instance. If you'd like to use a different HTTP library
entirely, you can even implement the NgrokApiClient interface
yourself.
import com.ngrok._
import java.net.URI
import scala.concurrent.Await
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
class Example extends App {
// Create the root api client using an API key from the environment variable NGROK_API_KEY
val defaultNgrok = Ngrok()
// ... or create the root api client using an API key provided directly
val defaultNgrokWithApiKey = Ngrok("my secret api key")
// ... or create the root api client by customizing the low-level networking details
val customApiClient = DefaultNgrokApiClient(
apiKey = System.getenv("NGROK_API_KEY")
baseUri = Some(URI.create("https://some-other-server.com"))
)
val ngrokWithCustomApiClient = Ngrok(customApiClient);
// Clients for all api resources (like ip policies) are acccessible via methods on the root client
val policy = Await.result(defaultNgrok.ipPolicies.get(policyId), 1.second)
// Some api resources are 'namespaced' through another method
val circuitBreaker = Await.result(defaultNgrok.pointcfgModule.circuitBreaker.get(endpointConfigId), 1.second)
}
Paging
All list responses from the ngrok API are paged. All list response
objects implement the Pageable trait, and are wrapped in a Page
class, which has a next() method. Calling next() will asyncronously
request the next page. If no next page is available, an empty Option
will be returned inside the Future.
import com.ngrok._
import com.ngrok.definitions._
import scala.concurrent.Await
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.Future
import scala.concurrent.duration._
class Example extends App {
val ngrok = Ngrok()
val credentials = Await.result(
ngrok.credentials.list().flatMap(gatherRecursively(ngrok, List.empty, _)),
1.second
)
println("Credentials:")
credentials.foreach(println)
private def gatherRecursively(ngrok: Ngrok, credentials: List[Credential], currentPage: Page[CredentialList]): Future[List[Credential]] {
val updatedCredentials = credentials ++ currentPage.page.credentials
currentPage.next().flatMap(_
.map(gatherRecursively(ngrok, updatedCredentials, _))
.getOrElse(Future.successful(updatedCredentials))
)
}
}
Error Handling
All errors returned by the ngrok API are serialized as structured
payloads for easy error handling. If a structured error is returned by
the ngrok API, this library will return a failed Future
containing a NgrokApiError.
This object will allow you to check the unique ngrok error code and the
http status code of a failed response. Use the errorCode property
to check for unique ngrok error codes returned by the API. All error
codes are documented at
https://ngrok.com/docs/errors. There is
also an isErrorCode() method on the exception object to check against
multiple error codes. The httpStatusCode property can be used to
check not found errors.
Other non-structured errors encountered while making an API call from e.g. networking or serialization failures are not wrapped in any way and will bubble up as normal.
import com.ngrok._
import com.ngrok.definitions._
import scala.concurrent.Await
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
import scala.util.{Failure, Success}
class Example extends App {
val ngrok = Ngrok()
Await.ready(
ngrok.reservedDomains.create(
name = System.getenv("NGROK_DOMAIN"),
description = Some("example domain")
).onComplete({
case Success(_) =>
println("Successfully reserved domain.")
case Failure(error: NgrokApiError) if error.isErrorCode("NGROK_ERR_402", "NGROK_ERR_403") =>
println("Ignoring invalid wildcard domain.")
case Failure(error: NgrokApiError) =>
val errorCode = error.errorCode.getOrElse("unknown")
println(s"API Error ($errorCode): ${error.message}")
case Failure(error) =>
println(s"Other error: ${error.message})
}),
1.second
)
}
Datatype Overrides
All datatype objects in the ngrok API library are case classes, which
properly override equals() and hashCode() so that the objects can be
compared. Similarly, they override toString() for more helpful pretty
printing of ngrok domain objects.
Sync / Async Interfaces
Each API client operation returns a Future[T] and is asynchonous. If
you require a synchonous call, you can wrap the return value in
Await.result().