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AWS

boto3 library

A unique library to access all AWS services from a python app.

Installation

pip install boto3[crt]

Set up authentication credentials for your AWS account using either the IAM Console or the AWS CLI.

aws configure
# Verify access
aws iam list-users

Info

The jbcodeforce/python docker image has the aws cli and goto3.

Programming samples

Access S3

import boto3
# declare a client to the service you want
s3 = goto3.service("s3")
# use SDK API for s3.
s3.buckets.all()

Access DynamoDB

The client can get the table name using the API client: 

import os, boto3

AWS_ACCESS_KEY_ID=os.environ.get("AWS_ACCESS_KEY_ID")
AWS_SECRET_ACCESS_KEY=os.environ.get("AWS_SECRET_ACCESS_KEY")

client = boto3.client(
    'dynamodb',
    aws_access_key_id=AWS_ACCESS_KEY_ID,
    aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
    )
table = client.list_tables()
tableName=table['TableNames'][0]

Then use the dynamoDB API:

orderTable = dynamodb.Table(tableName)

dynamodb = boto3.resource(
    'dynamodb',
    aws_access_key_id=AWS_ACCESS_KEY_ID,
    aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
    )

orderTable = dynamodb.Table(tableName)
orderTable.put_item(
   Item={
     "orderID": "ORD001",
     "customerID": "C01", 
     "productID": "P01", 
     "quantity": 10,  
     "destinationAddress": { "street": "1st main street", "city": "Santa Clara", "country": "USA", "state": "CA", "zipcode": "95051" }
   })
  • Run it once the python virtual env is enabled with python dynamoClient.py
  • scan to run all items from a table. It performs eventually consistent reads
  • put_item: If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item

CDK with python

Separate note in AWS_Studies.