小编Chr*_*phe的帖子

我通过SSH登录到GCE实例.从那里我想借助服务帐户访问存储:

GCE> gcloud auth list
Credentialed accounts:
 - 1234567890-compute@developer.gserviceaccount.com (active)

我首先确保此服务帐户在我正在处理的项目的权限中被标记为"可以编辑".我还确保在存储桶上写入ACL,我希望他复制文件:

local> gsutil acl ch -u 1234567890-compute@developer.gserviceaccount.com:W gs://mybucket

但是以下命令失败:

GCE> gsutil cp test.txt gs://mybucket/logs

(我还确保在"mybucket"下创建"logs").

我得到的错误信息是:

Copying file://test.txt [Content-Type=text/plain]...
AccessDeniedException: 403 Insufficient Permission               0 B  

我错过了什么？

我有以下DataFrame收集2个度量A和B的每日统计数据:

                  A             B
count  17266.000000  17266.000000
std        0.179003      0.178781
75%      101.102251    101.053214
min      100.700993    100.651956
mean     101.016747    100.964003
max      101.540214    101.491178
50%      100.988465    100.938694
25%      100.885251    100.830048

下面是一段创建它的代码:

day1 = {
    'A': {
    'count': 17266.0,
    'std': 0.17900265293286116,
    'min': 100.70099294189714,
    'max': 101.54021448871775,
    '50%': 100.98846526697825,
    '25%': 100.88525124427971,
    '75%': 101.10225131847992, 
    'mean': 101.01674677794136
    }, 
    'B': {
    'count': 17266.0, 
    'std': 0.17878125983374854, 
    'min': 100.65195609992342, 
    'max': 101.49117764674403, 
    '50%': 100.93869409089723, 
    '25%': 100.83004837814667, 
    '75%': 101.05321447650618, 
    'mean': 100.96400305527138
    }
}
df = pandas.DataFrame.from_dict(day1, orient='index').T

数据来自describe().我有几个这样的描述(每天一个),我想将它们全部收集到一个以日期作为索引的数据帧中.

获得这种方法最明显的方法是将所有每日结果堆叠到一个数据框中,然后按天分组并在结果上运行统计数据.但是我想要一个替代方法,因为我遇到了一个带有我处理的数据量的MemoryError.

最终结果应如下所示:

                        A           B    
2014-12-24 …

我正在运行官方无服务器 GitHub页面上的示例，当我直接部署在我的 AWS 账户上时，它开箱即用，运行良好。

现在，当我尝试通过相应更改来激活serverless-localstackserverless.yml插件时：

service: serverless-rest-api-with-dynamodb

frameworkVersion: ">=1.1.0 <2.0.0"

provider:
  name: aws
  runtime: python2.7
  environment:
    DYNAMODB_TABLE: ${self:service}-${opt:stage, self:provider.stage}
  iamRoleStatements:
    - Effect: Allow
      Action:
        - dynamodb:Query
        - dynamodb:Scan
        - dynamodb:GetItem
        - dynamodb:PutItem
        - dynamodb:UpdateItem
        - dynamodb:DeleteItem
      Resource: "arn:aws:dynamodb:${opt:region, self:provider.region}:*:table/${self:provider.environment.DYNAMODB_TABLE}"

custom:
  localstack:
    stages:
    - local
    - dev
    endpoints:
      S3: http://localhost:4572
      DynamoDB: http://localhost:4570
      CloudFormation: http://localhost:4581
      Elasticsearch: http://localhost:4571
      ES: http://localhost:4578
      SNS: http://localhost:4575
      SQS: http://localhost:4576
      Lambda: http://localhost:4574
      Kinesis: http://localhost:4568

plugins:
  - serverless-localstack

functions:
  create:
    handler: todos/create.create
    events:
      - http:
          path: …