小编See*_*r90的帖子

我无法通过 Ubuntu EC2 实例执行 sudo apt-get update。当我跑步时——

sudo apt-get update

我收到以下错误：-

Err:1 http://eu-central-1.ec2.archive.ubuntu.com/ubuntu bionic InRelease
  Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (52.59.228.109), connection timed out Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (52.59.244.233), connection timed out Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (18.196.1.133), connection timed out Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (35.158.129.174), connection timed out Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (35.159.12.228), connection timed out Could not connect to eu-central-1.ec2.archive.ubuntu.com:80 (52.59.220.169), connection timed out
Err:2 http://eu-central-1.ec2.archive.ubuntu.com/ubuntu bionic-updates InRelease
  Unable to connect to eu-central-1.ec2.archive.ubuntu.com:http:
Err:3 http://eu-central-1.ec2.archive.ubuntu.com/ubuntu …

我正在尝试将 lambda 函数的日志写入由 terraform 创建的 CloudWatch 日志组。

这是 lambda 策略 json -

{
    "Version": "2012-10-17",
    "Statement": [
      {
        "Sid": "Stmt1580216411252",
        "Action": [
          "logs:CreateLogStream",
          "logs:CreateLogDelivery",
          "logs:PutLogEvents"
        ],
        "Effect": "Allow",
        "Resource": "arn:aws:logs:*:*:*"
      }
    ]
  }

这是 lambda 假设策略 json -

{
    "Version": "2012-10-17",
    "Statement": [{
        "Action": "sts:AssumeRole",
        "Principal": {
            "Service": "lambda.amazonaws.com"
        },
        "Effect": "Allow",
        "Sid": ""
    }]
}

我已将其添加到 lambda.tf 文件中 -

resource "aws_cloudwatch_log_group" "example" {
  name              = "/test/logs/${var.lambda_function_name}"
}

尽管 CloudWatch 日志组“/test/logs/${var.lambda_function_name}”是通过 terraform 创建的，但我无法将 lambda 函数的日志写入该组。

如果我将 lambda 策略 json 更改为 …

我正在尝试从https://medium.com/linagora-engineering/making-image-classification-simple-with-spark-deep-learning-f654a8b876b8复制一个深度学习项目。我正在开发 Spark 1.6.3 版。我已经安装了 keras 和 tensorflow。但是每次我尝试从 sparkdl 导入时，它都会引发错误。我正在研究 Pyspark。当我运行这个时：-

from sparkdl import readImages

我收到此错误：-

File "C:\Users\HP\AppData\Local\Temp\spark-802a2258-3089-4ad7-b8cb- 
6815cbbb019a\userFiles-c9514201-07fa-45f9-9fd8- 
c8a3a0b4bf70\databricks_spark-deep-learning-0.1.0-spark2.1- 
s_2.11.jar\sparkdl\transformers\keras_image.py", line 20, in <module>
ImportError: cannot import name 'TypeConverters'

有人可以帮忙吗？

我已经从 URL 下载了一个文件到 AWS Lambda 的 /tmp 目录中（因为这是 Lambda 中唯一可写的路径）。

我的动机是创建一个 Alexa Skill，它将从 URL 下载文件。因此我创建了一个 lambda 函数。

如何从 lambda 中的 /tmp 文件夹访问下载的文件？

我的代码是：-

#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import xml.etree.ElementTree as etree
from datetime import datetime as dt
import os
import urllib
import requests

from urllib.parse import urlparse


def lambda_handler(event, context):
    """ Route the incoming request based on type (LaunchRequest, IntentRequest,
    etc.) The JSON body of the request is provided in the event parameter.
    """ …

我正在尝试从 URL 下载文件并将该文件上传到 S3 存储桶中。我的代码如下-

#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import xml.etree.ElementTree as etree
from datetime import datetime as dt
import os
import urllib
import requests
import boto3
from botocore.client import Config

from urllib.parse import urlparse


def lambda_handler(event, context):
    """ Route the incoming request based on type (LaunchRequest, IntentRequest,
    etc.) The JSON body of the request is provided in the event parameter.
    """

    print('event.session.application.applicationId=' + event['session'
          ]['application']['applicationId'])

    # if (event['session']['application']['applicationId'] !=
    #         "amzn1.echo-sdk-ams.app.[unique-value-here]"):
    #     raise …

我有一个 python 字典。我想将它保存为 AWS S3 中的泡菜对象。

我正在尝试这个 -

import boto3
import pickle


#Connect to S3 default profile
s3 = boto3.client('s3')

serializedMyData = pickle.dumps(myDictionary)

s3.put_object(Bucket='mytestbucket',Key='myDictionary')

脚本成功运行，我在 S3 中得到一个名为 * myDictionary* 的文件。但它不是泡菜，它有 0 个字节。

我稍微编辑了我的代码 -

import boto3
import pickle


#Connect to S3 default profile
s3 = boto3.client('s3')

serializedMyData = pickle.dumps(myDictionary)

s3.put_object(Bucket='mytestbucket',Key='myDictionary').put(Body=serializedMyData)

但是后来我收到了这个错误 -

AttributeError: 'dict' object has no attribute 'put'

我该怎么办 ？