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Faça upload e teste pacotes de dispositivos móveis com o Device Farm usando um AWS SDK
O exemplo de código a seguir mostra como fazer upload e testar pacotes de dispositivos móveis com o Device Farm.
- Python
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- SDKpara Python (Boto3)
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nota
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS
. Faça upload de aplicativos Android compilados e pacotes de teste para o Device Farm, inicie um teste, aguarde a conclusão do teste e relate os resultados.
import boto3 import os import requests import string import random import datetime import time # Update this dict with your own values before you run the example: config = { # This is our app under test. "appFilePath": "app-debug.apk", "projectArn": "arn:aws:devicefarm:us-west-2:111222333444:project:581f5703-e040-4ac9-b7ae-0ba007bfb8e6", # Since we care about the most popular devices, we'll use a curated pool. "testSpecArn": "arn:aws:devicefarm:us-west-2::upload:20fcf771-eae3-4137-aa76-92e17fb3131b", "poolArn": "arn:aws:devicefarm:us-west-2::devicepool:4a869d91-6f17-491f-9a95-0a601aee2406", "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 '{unique}'. All uploads will be prefixed " f"with this." ) def upload_df_file(filename, type_, mime="application/octet-stream"): upload_response = client.create_upload( projectArn=config["projectArn"], name=unique + "_" + os.path.basename(filename), type=type_, contentType=mime, ) upload_arn = upload_response["upload"]["arn"] # Extract the URL of the upload and use Requests to upload it. upload_url = upload_response["upload"]["url"] with open(filename, "rb") as file_stream: print( f"Uploading {filename} to Device Farm as " f"{upload_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(f"Couldn't upload. Requests says: {put_req.reason}") started = datetime.datetime.now() while True: print( f"Upload of {filename} in state {upload_response['upload']['status']} " f"after " + str(datetime.datetime.now() - started) ) if upload_response["upload"]["status"] == "FAILED": raise Exception( f"The upload failed processing. Device Farm says the reason is: \n" f"{+upload_response['upload']['message']}" ) if upload_response["upload"]["status"] == "SUCCEEDED": break time.sleep(5) upload_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) 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} ") state = "UNKNOWN" 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 " f"time {datetime.datetime.now() - start_time}" ) time.sleep(10) except: client.stop_run(arn=run_arn) exit(1) print(f"Tests finished in state {state} after {datetime.datetime.now() - start_time}") # Pull all the logs. jobs_response = client.list_jobs(arn=run_arn) # Save the output somewhere, using the unique value. save_path = os.path.join(os.getcwd(), "results", unique) os.mkdir(save_path) # Save the last run information. for job in jobs_response["jobs"]: 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: # 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(f"Downloading {artifact_save_path}") with open(artifact_save_path, "wb") as fn: with requests.get( artifact["url"], allow_redirects=True ) as request: fn.write(request.content) print("Finished")
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Para API obter detalhes, consulte os tópicos a seguir em AWS SDKfor Python (Boto3) Reference. API
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