

Las traducciones son generadas a través de traducción automática. En caso de conflicto entre la traducción y la version original de inglés, prevalecerá la version en inglés.

# Automatización de AWS Device Farm
<a name="api-ref"></a>

 El acceso mediante programación a Device Farm es una forma eficaz de automatizar las tareas comunes que necesita realizar, como programar una ejecución o descargar los artefactos para una ejecución, un conjunto o una prueba. El AWS SDK y el proveedor AWS CLI permiten hacerlo. 

 El AWS SDK proporciona acceso a todos los AWS servicios, incluidos Device Farm, Amazon S3 y más. Para obtener más información, consulte 
+ las [AWS herramientas y SDKs](https://aws.amazon.com//tools/)
+ la [referencia de la API de AWS Device Farm](https://docs.aws.amazon.com/devicefarm/latest/APIReference/Welcome.html)

## Ejemplo: usar la AWS CLI o el SDK para cargar una aplicación o una prueba en Device Farm
<a name="upload-example"></a>

Los siguientes ejemplos muestran cómo crear una carga en Device Farm mediante la AWS CLI o el AWS SDK en varios idiomas. Las cargas son los elementos fundamentales para programar las pruebas en Device Farm e incluyen lo siguiente:
+ Tu aplicación
+ ¿Tu prueba
+ Su archivo [de especificaciones de prueba](custom-test-environment-test-spec.md)

Las cargas se crean mediante la [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_CreateUpload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_CreateUpload.html)API. Esta API devuelve una URL prefirmada de S3 a la que puedes enviar la carga mediante una solicitud HTTP PUT. La URL caduca a las 24 horas.

------
#### [ AWS CLI ]

*Nota: en este ejemplo se usa la [herramienta de línea de comandos `curl`](https://curl.se/) para enviar la aplicación a Device Farm.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
$ aws devicefarm create-project --name MyProjectName
```

Esto mostrará un resultado como el siguiente:

```
{
    "project": {
        "name": "MyProjectName",
        "arn": "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE",
        "created": 1535675814.414
    }
}
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
$ export APP_PATH="/local/path/to/my_sample_app.apk"
$ export APP_TYPE="ANDROID_APP"
```

Primero, creamos la carga en Device Farm:

```
$ aws devicefarm create-upload \
  --project-arn "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE" \
  --name "$(basename "$APP_PATH")" \
  --type "$APP_TYPE"
```

Esto mostrará un resultado como el siguiente:

```
{
    "upload": {
        "arn": "arn:aws:devicefarm:us-west-2:385076942068:upload:490a6350-0ba3-43e5-83f5-d2896b069a34/a120e848-c57b-4e8d-a720-d750a0c4d936",
        "name": "my_sample_app.apk",
        "created": 1760747318.266,
        "type": "ANDROID_APP",
        "status": "INITIALIZED",
        "url": "https://prod-us-west-2-uploads.s3.dualstack.us-west-2.amazonaws.com/arn%3Aaws%3Adevicefarm%3Aus-west-2...",
        "category": "PRIVATE"
    }
}
```

A continuación, realiza una llamada PUT con curl para enviar la aplicación al bucket S3 de Device Farm:

```
$ curl -T "$APP_PATH" "https://prod-us-west-2-uploads.s3.dualstack.us-west-2.amazonaws.com/arn%3Aaws%3Adevicefarm%3Aus-west-2..."
```

Por último, espera a que la aplicación esté en el estado «correctamente»:

```
$ aws devicefarm get-upload --arn "arn:aws:devicefarm:us-west-2:385076942068:upload:490a6350-0ba3-43e5-83f5-d2896b069a34/a120e848-c57b-4e8d-a720-d750a0c4d936"
```

Esto mostrará un resultado como el siguiente:

```
{
    "upload": {
        "arn": "arn:aws:devicefarm:us-west-2:385076942068:upload:490a6350-0ba3-43e5-83f5-d2896b069a34/a120e848-c57b-4e8d-a720-d750a0c4d936",
        "name": "my_sample_app.apk",
        "created": 1760747318.266,
        "type": "ANDROID_APP",
        "status": "SUCCEEDED",
        "url": "https://prod-us-west-2-uploads.s3.dualstack.us-west-2.amazonaws.com/arn%3Aaws%3Adevicefarm%3Aus-west-2...",
        "metadata": "{\"activity_name\":\"com.amazonaws.devicefarm.android.referenceapp.Activities.MainActivity\",\"package_name\":\"com.amazonaws.devicefarm.android.referenceapp\",...}",
        "category": "PRIVATE"
    }
}
```

------
#### [ Python ]

*Nota: en este ejemplo se utiliza el `requests` paquete de terceros para enviar la aplicación a Device Farm, así como el AWS SDK para Python`boto3`.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
import boto3

client = boto3.client("devicefarm", region_name="us-west-2")
resp = client.create_project(name="MyProjectName")

print(resp)
# Response will be something like:
# {
#     "project": {
#         "name": "MyProjectName",
#         "arn": "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE",
#         "created": 1535675814.414
#     }
# }
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
import os
import time
import datetime
import requests
from pathlib import Path
import boto3


def upload_device_farm_file():
    project_arn = "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE"
    app_path = Path("/local/path/to/my_sample_app.apk")
    file_type = "ANDROID_APP"

    if not app_path.is_file():
        raise RuntimeError(f"{app_path} is not a valid app file path")

    client = boto3.client("devicefarm", region_name="us-west-2")

    # 1) Create the upload in Device Farm
    create = client.create_upload(
        projectArn=project_arn,
        name=app_path.name,
        type=file_type,
        contentType="application/octet-stream",
    )
    upload = create["upload"]
    upload_arn = upload["arn"]
    upload_url = upload["url"]
    # This will show output such as the following:
    # { "upload": { "arn": "...", "name": "my_sample_app.apk", "type": "ANDROID_APP", "status": "INITIALIZED", "url": "https://..." } }

    # 2) Do an HTTP PUT command to push the file to the pre-signed S3 URL
    with app_path.open("rb") as fh:
        print(f"Uploading {app_path.name} to Device Farm...")
        put_resp = requests.put(upload_url, data=fh, headers={"Content-Type": "application/octet-stream"})
        put_resp.raise_for_status()

    # 3) Wait for the app to be in "SUCCEEDED" status (or fail/timeout)
    timeout_seconds = 30
    start = time.time()
    while True:
        get_resp = client.get_upload(arn=upload_arn)
        status = get_resp["upload"]["status"]
        msg = get_resp["upload"].get("message") or get_resp["upload"].get("metadata") or ""
        elapsed = datetime.timedelta(seconds=int(time.time() - start))
        print(f"[{elapsed}] status={status}{' - ' + msg if msg else ''}")

        if status == "SUCCEEDED":
            print(f"Upload complete: {upload_arn}")
            return upload_arn
        if status == "FAILED":
            raise RuntimeError(f"Device Farm failed to process upload: {msg}")

        if (time.time() - start) > timeout_seconds:
            raise RuntimeError(f"Timed out after {timeout_seconds}s waiting for upload to process (last status={status}).")
        
        time.sleep(1)
        
upload_device_farm_file()
```

------
#### [ Java ]

*Nota: en este ejemplo se utiliza el AWS SDK para Java v2 y se `HttpClient` envía la aplicación a Device Farm, y es compatible con las versiones 11 y superiores de JDK.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.devicefarm.DeviceFarmClient;
import software.amazon.awssdk.services.devicefarm.model.CreateProjectRequest;
import software.amazon.awssdk.services.devicefarm.model.CreateProjectResponse;

try (DeviceFarmClient client = DeviceFarmClient.builder()
        .region(Region.US_WEST_2)
        .build()) {
    CreateProjectResponse resp = client.createProject(
        CreateProjectRequest.builder().name("MyProjectName").build());
    System.out.println(resp.project());
    // Response will be something like:
    // Project{name=MyProjectName, arn=arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-..., created=...}
}
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.Duration;
import java.time.Instant;

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.devicefarm.DeviceFarmClient;
import software.amazon.awssdk.services.devicefarm.model.CreateUploadRequest;
import software.amazon.awssdk.services.devicefarm.model.CreateUploadResponse;
import software.amazon.awssdk.services.devicefarm.model.GetUploadRequest;
import software.amazon.awssdk.services.devicefarm.model.GetUploadResponse;
import software.amazon.awssdk.services.devicefarm.model.Upload;
import software.amazon.awssdk.services.devicefarm.model.UploadType;

public class DeviceFarmUploader {

    public static String upload(String projectArn, Path appPath) throws Exception {
        if (projectArn == null || projectArn.isEmpty()) {
            throw new IllegalArgumentException("Missing projectArn");
        }
        if (!Files.isRegularFile(appPath)) {
            throw new IllegalArgumentException("Invalid app path: " + appPath);
        }

        String fileName = appPath.getFileName().toString().trim();
        UploadType type = UploadType.ANDROID_APP;

        // Build a reusable HttpClient
        HttpClient http = HttpClient.newBuilder()
                .version(HttpClient.Version.HTTP_1_1)
                .connectTimeout(Duration.ofSeconds(10))
                .build();

        try (DeviceFarmClient client = DeviceFarmClient.builder()
                .region(Region.US_WEST_2)
                .build()) {

            // 1) Create the upload in Device Farm
            CreateUploadResponse create = client.createUpload(CreateUploadRequest.builder()
                    .projectArn(projectArn)
                    .name(fileName)
                    .type(type)
                    .contentType("application/octet-stream")
                    .build());

            Upload upload = create.upload();
            String uploadArn = upload.arn();
            String url = upload.url();
            // This will show output such as the following:
            // { "upload": { "arn": "...", "name": "my_sample_app.apk", "type": "ANDROID_APP", "status": "INITIALIZED", "url": "https://..." } }

            // 2) PUT file to pre-signed URL using HttpClient
            HttpRequest put = HttpRequest.newBuilder(URI.create(url))
                    .timeout(Duration.ofMinutes(15))
                    .header("Content-Type", "application/octet-stream")
                    .PUT(HttpRequest.BodyPublishers.ofFile(appPath))
                    .build();

            HttpResponse<Void> resp = http.send(put, HttpResponse.BodyHandlers.discarding());
            int code = resp.statusCode();
            if (code / 100 != 2) {
                throw new IOException("Failed PUT to S3 pre-signed URL, HTTP " + code);
            }

            // 3) Wait for the app to be in "SUCCEEDED" status (or fail/timeout)
            Instant deadline = Instant.now().plusSeconds(30); // 30-second timeout
            while (true) {
                GetUploadResponse got = client.getUpload(GetUploadRequest.builder()
                        .arn(uploadArn)
                        .build());

                String status = got.upload().statusAsString();
                String msg = got.upload().metadata();
                System.out.println("status=" + status + (msg != null ? " - " + msg : ""));

                if ("SUCCEEDED".equals(status)) return uploadArn;
                if ("FAILED".equals(status)) throw new RuntimeException("Upload failed: " + msg);
                if (Instant.now().isAfter(deadline)) {
                    throw new RuntimeException("Timeout waiting for processing, last status=" + status);
                }
                Thread.sleep(2000);
            }
        }
    }

    public static void main(String[] args) throws Exception {
        String projectArn = "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE";
        Path appPath = Paths.get("/local/path/to/my_sample_app.apk");
        String result = upload(projectArn, appPath);
        System.out.println("Upload ARN: " + result);
    }
}
```

------
#### [ JavaScript ]

*Nota: en este ejemplo se usa el AWS SDK para JavaScript (v3) y Node 18\$1 `fetch` para enviar la aplicación a Device Farm.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
import { DeviceFarmClient, CreateProjectCommand } from "@aws-sdk/client-device-farm";

const df = new DeviceFarmClient({ region: "us-west-2" });
const resp = await df.send(new CreateProjectCommand({ name: "MyProjectName" }));
console.log(resp);
// Response will be something like:
// { project: { name: 'MyProjectName', arn: 'arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-...', created: 1535675814.414 } }
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
import { DeviceFarmClient, CreateUploadCommand, GetUploadCommand } from "@aws-sdk/client-device-farm";
import { createReadStream } from "fs";
import { basename } from "path";

const projectArn = "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE";
const appPath = "/local/path/to/my_sample_app.apk";
const name = basename(appPath).trim();
const type = "ANDROID_APP";

const client = new DeviceFarmClient({ region: "us-west-2" });

// 1) Create the upload in Device Farm
const create = await client.send(new CreateUploadCommand({
  projectArn,
  name,
  type,
  contentType: "application/octet-stream",
}));

const uploadArn = create.upload.arn;
const url = create.upload.url;
// This will show output such as the following:
// { upload: { arn: '...', name: 'my_sample_app.apk', type: 'ANDROID_APP', status: 'INITIALIZED', url: 'https://...' } }

// 2) PUT to pre-signed URL
const putResp = await fetch(url, {
  method: "PUT",
  headers: { "Content-Type": "application/octet-stream" },
  body: createReadStream(appPath),
});
if (!putResp.ok) {
  throw new Error(`Failed PUT to pre-signed URL: ${putResp.status} ${await putResp.text().catch(()=>"")}`);
}

// 3) Wait for the app to be in "SUCCEEDED" status (or fail/timeout)
const deadline = Date.now() + (30 * 1000); // 30-second timeout
while (true) {
  const response = await client.send(new GetUploadCommand({ arn: uploadArn }));
  const { status, message, metadata } = response.upload;
  console.log(`status=${status}${message ? " - " + message : metadata ? " - " + metadata : ""}`);
  if (status === "SUCCEEDED") {
    console.log("Upload complete:", uploadArn);
    break;
  }
  if (status === "FAILED") {
    throw new Error(`Upload failed: ${message || metadata || "unknown"}`);
  }
  if (Date.now() > deadline) throw new Error(`Timeout waiting for processing (last status=${status})`);
  await new Promise(r => setTimeout(r, 2000));
}
```

------
#### [ C\$1 ]

*Nota: en este ejemplo se usa el AWS SDK para .NET y `HttpClient` se envía la aplicación a Device Farm.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
using System;
using Amazon;
using Amazon.DeviceFarm;
using Amazon.DeviceFarm.Model;

using var client = new AmazonDeviceFarmClient(RegionEndpoint.USWest2);
var resp = await client.CreateProjectAsync(new CreateProjectRequest { Name = "MyProjectName" });
Console.WriteLine(resp.Project);
// Response will be something like:
// { Name = MyProjectName, Arn = arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-..., Created = ... }
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using System.Net.Http.Headers;
using Amazon;
using Amazon.DeviceFarm;
using Amazon.DeviceFarm.Model;

class DeviceFarmUploader
{
    public static async Task<string> UploadAsync(string projectArn, string appPath)
    {
        if (string.IsNullOrWhiteSpace(projectArn)) throw new ArgumentException("Missing projectArn");
        if (!File.Exists(appPath)) throw new ArgumentException($"Invalid app path: {appPath}");
        var type = UploadType.ANDROID_APP;

        using var client = new AmazonDeviceFarmClient(RegionEndpoint.USWest2);
        // 1) Create the upload in Device Farm
        var create = await client.CreateUploadAsync(new CreateUploadRequest
        {
            ProjectArn = projectArn,
            Name = Path.GetFileName(appPath),
            Type = type,
            ContentType = "application/octet-stream"
        });

        var uploadArn = create.Upload.Arn;
        var url = create.Upload.Url;
        // This will show output such as the following:
        // { Upload: { Arn = ..., Name = my_sample_app.apk, Type = ANDROID_APP, Status = INITIALIZED, Url = https://... } }

        // 2) PUT file to pre-signed URL
        using (var http = new HttpClient())
        using (var fs = File.OpenRead(appPath))
        using (var content = new StreamContent(fs))
        {
            content.Headers.Add("Content-Type", "application/octet-stream");
            var resp = await http.PutAsync(url, content);
            if (!resp.IsSuccessStatusCode)
                throw new Exception($"Failed PUT to pre-signed URL: {(int)resp.StatusCode} {await resp.Content.ReadAsStringAsync()}");
        }

        // 3) Wait for the app to be in "SUCCEEDED" status (or fail/timeout)
        var deadline = DateTime.UtcNow.AddSeconds(30); // 30-second timeout
        while (true)
        {
            var got = await client.GetUploadAsync(new GetUploadRequest { Arn = uploadArn });
            var status = got.Upload.Status.Value;
            var msg = got.Upload.Message ?? got.Upload.Metadata;
            Console.WriteLine($"status={status}{(string.IsNullOrEmpty(msg) ? "" : " - " + msg)}");

            if (status == UploadStatus.SUCCEEDED.Value) return uploadArn;
            if (status == UploadStatus.FAILED.Value) throw new Exception($"Upload failed: {msg}");
            if (DateTime.UtcNow > deadline) throw new TimeoutException($"Timeout waiting for processing (last status={status})");
            await Task.Delay(2000);
        }
    }

    static async Task Main()
    {
        var projectArn = "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE";
        var appPath = "/local/path/to/my_sample_app.apk";
        var result = await UploadAsync(projectArn!, appPath!);
        Console.WriteLine("Upload ARN: " + result);
    }
}
```

------
#### [ Ruby ]

*Nota: en este ejemplo se usa el AWS SDK para Ruby y `Net::HTTP` se envía la aplicación a Device Farm.*

En primer lugar, crea un proyecto si aún no lo has hecho.

```
require "aws-sdk-devicefarm"

client = Aws::DeviceFarm::Client.new(region: "us-west-2")
resp = client.create_project(name: "MyProjectName")
puts resp.project.inspect
# Response will be something like:
# #<struct Aws::DeviceFarm::Types::Project name="MyProjectName", arn="arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-...", created=1535675814.414>
```

A continuación, haz lo siguiente para crear la carga y subirla a Device Farm. En este ejemplo, crearemos la carga de una aplicación para Android con un archivo APK local. Para obtener más información sobre los tipos de carga, incluidos los detalles sobre los tipos de carga de aplicaciones iOS, consulta nuestra documentación de API para crear una [https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html](https://docs.aws.amazon.com/devicefarm/latest/APIReference/API_Upload.html).

```
require "aws-sdk-devicefarm"
require "net/http"
require "uri"

project_arn = "arn:aws:devicefarm:us-west-2:123456789101:project:5e01a8c7-c861-4c0a-b1d5-12345EXAMPLE"
app_path    = "/local/path/to/my_sample_app.apk"
raise "Invalid APP_PATH: #{app_path}" unless File.file?(app_path)
type = "ANDROID_APP"

client = Aws::DeviceFarm::Client.new(region: "us-west-2")

# 1) Create the upload in Device Farm
create = client.create_upload(
  project_arn: project_arn,
  name: File.basename(app_path),
  type: type,
  content_type: "application/octet-stream"
)

upload_arn = create.upload.arn
url = create.upload.url
# This will show output such as the following:
# #<Upload arn="...", name="my_sample_app.apk", type="ANDROID_APP", status="INITIALIZED", url="https://...">

# 2) PUT the file to the pre-signed URL
uri = URI.parse(url)
Net::HTTP.start(uri.host, uri.port, use_ssl: (uri.scheme == "https")) do |http|
  req = Net::HTTP::Put.new(uri)
  req["Content-Type"] = "application/octet-stream"
  req.body_stream = File.open(app_path, "rb")
  req.content_length = File.size(app_path)
  resp = http.request(req)
  raise "Failed PUT: #{resp.code} #{resp.body}" unless resp.code.to_i / 100 == 2
end

# 3) Wait for the app to be in "SUCCEEDED" status (or fail/timeout)
deadline = Time.now + 30 # 30-second timeout
loop do
  got = client.get_upload(arn: upload_arn)
  status = got.upload.status
  msg = got.upload.message || got.upload.metadata
  puts "status=#{status}#{msg ? " - #{msg}" : ""}"

  case status
  when "SUCCEEDED" then puts "Upload complete: #{upload_arn}"; break
  when "FAILED"    then raise "Upload failed: #{msg}"
  end
  raise "Timeout waiting for processing (last status=#{status})" if Time.now > deadline
  sleep 2
end
```

------

## Ejemplo: usar el AWS SDK para iniciar una ejecución de Device Farm y recolectar artefactos
<a name="automation-example"></a>

 El siguiente ejemplo proporciona una beginning-to-end demostración de cómo se puede utilizar el AWS SDK para trabajar con Device Farm. En el ejemplo se realiza lo siguiente: 
+ Carga una prueba y paquetes de aplicación en Device Farm
+ Inicia una ejecución de prueba y espera su finalización (o fallo)
+ Descarga todos los artefactos producidos por los conjuntos de pruebas

Este ejemplo depende del paquete de terceros `requests` para interactuar con HTTP.

```
import boto3
import os
import requests
import string
import random
import time
import datetime
import time
import json

# The following script runs a test through Device Farm
#
# Things you have to change:
config = {
    # This is our app under test.
    "appFilePath":"app-debug.apk",
    "projectArn": "arn:aws:devicefarm:us-west-2:111122223333:project:1b99bcff-1111-2222-ab2f-8c3c733c55ed",
    # Since we care about the most popular devices, we'll use a curated pool.
    "testSpecArn":"arn:aws:devicefarm:us-west-2::upload:101e31e8-12ac-11e9-ab14-d663bd873e83",
    "poolArn":"arn:aws:devicefarm:us-west-2::devicepool:082d10e5-d7d7-48a5-ba5c-b33d66efa1f5",
    "namePrefix":"MyAppTest",
    # This is our test package. This tutorial won't go into how to make these. 
    "testPackage":"tests.zip"
}

client = boto3.client('devicefarm')

unique = config['namePrefix']+"-"+(datetime.date.today().isoformat())+(''.join(random.sample(string.ascii_letters,8)))

print(f"The unique identifier for this run is going to be {unique} -- all uploads will be prefixed with this.")

def upload_df_file(filename, type_, mime='application/octet-stream'):
    response = client.create_upload(projectArn=config['projectArn'],
        name = (unique)+"_"+os.path.basename(filename),
        type=type_,
        contentType=mime
        )
    # Get the upload ARN, which we'll return later.
    upload_arn = response['upload']['arn']
    # We're going to extract the URL of the upload and use Requests to upload it 
    upload_url = response['upload']['url']
    with open(filename, 'rb') as file_stream:
        print(f"Uploading {filename} to Device Farm as {response['upload']['name']}... ",end='')
        put_req = requests.put(upload_url, data=file_stream, headers={"content-type":mime})
        print(' done')
        if not put_req.ok:
            raise Exception("Couldn't upload, requests said we're not ok. Requests says: "+put_req.reason)
    started = datetime.datetime.now()
    while True:
        print(f"Upload of {filename} in state {response['upload']['status']} after "+str(datetime.datetime.now() - started))
        if response['upload']['status'] == 'FAILED':
            raise Exception("The upload failed processing. DeviceFarm says reason is: \n"+(response['upload']['message'] if 'message' in response['upload'] else response['upload']['metadata']))
        if response['upload']['status'] == 'SUCCEEDED':
            break
        time.sleep(5)
        response = client.get_upload(arn=upload_arn)
    print("")
    return upload_arn

our_upload_arn = upload_df_file(config['appFilePath'], "ANDROID_APP")
our_test_package_arn = upload_df_file(config['testPackage'], 'APPIUM_PYTHON_TEST_PACKAGE')
print(our_upload_arn, our_test_package_arn)
# Now that we have those out of the way, we can start the test run...
response = client.schedule_run(
    projectArn = config["projectArn"],
    appArn = our_upload_arn,
    devicePoolArn = config["poolArn"],
    name=unique,
    test = {
        "type":"APPIUM_PYTHON",
        "testSpecArn": config["testSpecArn"],
        "testPackageArn": our_test_package_arn
        }
    )
run_arn = response['run']['arn']
start_time = datetime.datetime.now()
print(f"Run {unique} is scheduled as arn {run_arn} ")

try:

    while True:
        response = client.get_run(arn=run_arn)
        state = response['run']['status']
        if state == 'COMPLETED' or state == 'ERRORED':
            break
        else:
            print(f" Run {unique} in state {state}, total time "+str(datetime.datetime.now()-start_time))
            time.sleep(10)
except:
    # If something goes wrong in this process, we stop the run and exit. 

    client.stop_run(arn=run_arn)
    exit(1)
print(f"Tests finished in state {state} after "+str(datetime.datetime.now() - start_time))
# now, we pull all the logs.
jobs_response = client.list_jobs(arn=run_arn)
# Save the output somewhere. We're using the unique value, but you could use something else
save_path = os.path.join(os.getcwd(), unique)
os.mkdir(save_path)
# Save the last run information
for job in jobs_response['jobs'] :
    # Make a directory for our information
    job_name = job['name']
    os.makedirs(os.path.join(save_path, job_name), exist_ok=True)
    # Get each suite within the job
    suites = client.list_suites(arn=job['arn'])['suites']
    for suite in suites:
        for test in client.list_tests(arn=suite['arn'])['tests']:
            # Get the artifacts
            for artifact_type in ['FILE','SCREENSHOT','LOG']:
                artifacts = client.list_artifacts(
                    type=artifact_type,
                    arn = test['arn']
                )['artifacts']
                for artifact in artifacts:
                    # We replace : because it has a special meaning in Windows & macos
                    path_to = os.path.join(save_path, job_name, suite['name'], test['name'].replace(':','_') )
                    os.makedirs(path_to, exist_ok=True)
                    filename = artifact['type']+"_"+artifact['name']+"."+artifact['extension']
                    artifact_save_path = os.path.join(path_to, filename)
                    print("Downloading "+artifact_save_path)
                    with open(artifact_save_path, 'wb') as fn, requests.get(artifact['url'],allow_redirects=True) as request:
                        fn.write(request.content)
                    #/for artifact in artifacts
                #/for artifact type in []
            #/ for test in ()[]
        #/ for suite in suites
    #/ for job in _[]
# done
print("Finished")
```