函数handler采用event和context这两个参数。Lambda 中的事件是 JSON 格式的文档,其中包含要处理的函数数据。 如果函数被其他 AWS 服务 调用,则事件对象会包含有关导致调用的事件的信息。例如,如果在对象上传到 Amazon Simple Storage Service(Amazon S3)存储桶时调用函数,则事件会包含此存储桶的名称和对象键。
import json import urllib.parse import boto3 print('Loading function') s3 = boto3.client('s3') def lambda_handler(event, context): bucket = event['Records'][0]['s3']['bucket']['name'] key = urllib.parse.unquote_plus(event['Records'][0]['s3']['object']['key...
deflambda_handler(event,context):print("Received event: "+json.dumps(event,indent=2))ec2=boto3.client('ec2')now=datetime.now()shanghai_tz=pytz.timezone('Asia/Shanghai')instance_id=event['detail']['instance-id']state=event['detail']['state']desc=""ifstate=='running':desc="启动"elif...
def lambda_handler(event, context): 這是程式碼的主要處理常式函數,其中包含您的主要應用程式邏輯。當 Lambda 調用函數處理常式時,Lambda 執行時間會將兩個引數傳遞至函數、包含函數要處理之資料的事件物件,以及包含函數調用相關資訊的內容物件。處理常式命名慣例 在您建立 Lambda 函數時定義的函數處理常式名稱衍生...
def lambda_handler(event, context): ec2.stop_instances(InstanceIds=instances) print('stopped your instances: ' + str(instances)) 重要提示: 对于region (区域),要与实例所在的 AWS 区域保持一致。对于 instances (实例),将示例 EC2 实例 ID 替换为要停止和启动的特定实例的 ID。
def lambda_handler(event, context): #从event中读取新建EMR集群的cluster id,名称及创建时间 cid=event['detail']['clusterId'] name=event['detail']['name'] timestamp=event['time'] #将对应信息写入DynamoDB dynamodb.put_item(TableName='emr-newcluster', ...
importnumpyasnpfromscipy.spatialimportConvexHulldeflambda_handler(event,context):print("\nUsing NumPy\n")print("random matrix_a =")matrix_a=np.random.randint(10,size=(4,4))print(matrix_a)print("random matrix_b =")matrix_b=np.random.randint(10,size=(4,4))print(matrix_b)print(...
(event,context):resp=requests.post('https://api.lookdoor.cn:443/func/hjapp/user/v2/getPasswordAesKey.json?')cookie=resp.headers['set-cookie']aes_key=resp.json()['data']['aesKey']password_encypted=urllib.parse.quote_plus(encrypt(aes_key,PASSWORD_MD5))url=f'https://api.lookdoor.cn:...
def handler(event, context): inputfile = event['url'] # input 是目标S3文件,格式类似 s3://mybucket-name/myfiles/inputfile1 result = yourmethod_find_maximum_number_of_jobs(inputfile) return result Example: Enter event: { "url": "s3://mybucket-name/myfiles/inputfile1" ...
The original lambda event and context are passed via Fastify request and can be used like this: app.get('/',(request,reply)=>{constevent=request.awsLambda.eventconstcontext=request.awsLambda.context// ...}) If you do not like it, you can disable this by setting thedecorateRequestoption ...