使用AWS SAM进行本地AWS Lambdatesting

我希望使用AWS的SAM在将脚本推送到AWS Lambda之前在本地开发，testing和打包脚本。 我正在使用带有AWS SAM（0.2.2）的Docker Toolbox（17.10.0-ce）来运行我在实际的AWS Lambda上的相同代码 – 而且我知道它是有效的。 我的MyMainFunction.py如下所示：

 import json def l_handle(event, context): payload = json.loads(event.get('body')) op1 = payload['op1'] op2 = payload['op2'] operator = payload['op'] if op1 == 0 or op2 == 0 or operator == None: result = 'Please enter valid input data' ret_code = 219 else: if operator in {'add', 'plus', '+'}: result = op1 + op2 ret_code = 278 elif operator in {'subtract', 'minus', '-'}: result = op1 - op2 ret_code = 278 elif operator in {'multiply', '*'}: result = op1 * op2 ret_code = 278 elif operator in {'divide', '/'}: result = op1 / op2 ret_code = 278 else: result = 'Please enter valid operator' ret_code = 219 print(result) return { 'isBase64Encoded': False, 'statusCode': ret_code, 'headers': {'Content-Type': 'application/json'}, 'body': json.dumps(result) } 

用event.json如下：

 { "resource": "/{proxy+}", "path": "/", "httpMethod": "POST", "headers": null, ... }, "resourcePath": "/{proxy+}", "httpMethod": "POST", "apiId": "*" }, "body": "{\"op1\":2,\"op2\":7,\"op\":\"divide\"}", "isBase64Encoded": false } 

和template.yaml如下所示：

 AWSTemplateFormatVersion : '2010-09-09' Transform: AWS::Serverless-2016-10-31 Description: A simple Calc application. Resources: MyMainFunction: Type: AWS::Serverless::Function Properties: Handler: l_handle Runtime: python3.6 

当我尝试在$ sam local invoke MyMainFunction --event event.json运行Docker中的命令时，出现如下错误：

 muham@DESKTOP-BS30EMD MINGW64 ~/Documents/Codes/lambdaLocal $ sam local invoke MyMainFunction --event event.json 2017/11/25 20:52:57 Successfully parsed template.yaml [34mINFO[0m[0000] Unable to use system certificate pool: crypto/x509: system root pool is not available on Windows 2017/11/25 20:52:57 Connected to Docker 1.34 [34mINFO[0m[0000] Unable to use system certificate pool: crypto/x509: system root pool is not available on Windows 2017/11/25 20:52:57 Fetching lambci/lambda:python3.6 image for python3.6 runtime... python3.6: Pulling from lambci/lambda Digest: sha256:3663b89bd1f4c4d1a4f06a77fc543422c1f0cbfc3a2f491c8c7bdc98cf9cf0b6 Status: Image is up to date for lambci/lambda:python3.6 2017/11/25 20:52:59 Invoking l_handle (python3.6) 2017/11/25 20:53:00 Could not invoke function: Error response from daemon: invalid volume specification: 'C:/Users/muham/Documents/Codes/lambdaLocal:/var/task:ro' 

这显然与卷有关。 然而，不幸的是，我只是在五个小时前才开始使用Dockers（并且一直在研究卷和挂载），所以我不确定Docker为什么在正常目录的末尾追加:/var/task:ro或者如何解决它。

有任何想法吗？