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我希望在将脚本推送到 AWS Lambda 之前使用 AWS 的 SAM 在本地开发、测试和打包脚本。我正在使用 Docker Toolbox (17.10.0-ce) 和 AWS SAM (0.2.2) 来运行与实际 AWS Lambda 本身相同的代码 - 我知道它可以工作。我MyMainFunction.py的如下：

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)
    }

如下event.json：

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

如下template.yaml：

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 Docker as 中运行命令时$ sam local invoke MyMainFunction --event event.json，出现错误，如下所示：

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'

这显然与数量有关。然而，不幸的是，我大约五个小时前才开始使用 Dockers（并且从那以后一直在研究卷和挂载）所以我不确定为什么 Docker 会附加:/var/task:ro在普通目录的末尾或如何解决它。

有任何想法吗？

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