Web Quickstart

In this post, I am going to deploy a sample REST API on AWS API Gateway, Lambda, and DynamoDB using Chalice and PynamoDB. Chalice: https://web-quickstart.blogspot.com/2021/03/aws-chalice.html Pynamo: https://web-quickstart.blogspot.com/2021/05/crud-dynamodb-from-python-pynamodb.html API spec The following methods will be served for CRUD operations: /users/  POST:   param: id name /users/{id}  GET:   response: id name    PUT:   param: name    DELETE create project % chalice new-project user_api % cd ./user_api prepare files % tree . ├── app.py ├── chalicelib │   ├── __init__.py │   └── user.py ├── docker-compose.yml └── requirements.txt # app.py from chalice import Chalice from chalice import ForbiddenError, NotFoundError from chalicelib.user import User app = Chalice(app_name= 'user_api' ) @ app.route ( '/users' , methods=[ 'POST' ]) def create_user ():     user_as_json = app.current_request.json_body ...

In this post, I am goint to use DynamoDB from PynamoDB. You may compare the code with  CRUD DynamoDB from Python (boto3) what is PynamoDB? PynamoDB is "a Pythonic interface for Amazon's DynamoDB" https://github.com/pynamodb/PynamoDB install % pip install pynamodb % pip list | grep pynamo pynamodb                           5.0.3 student.py You can define the entity like: from pynamodb.attributes import UnicodeAttribute from pynamodb.models import Model class Student (Model):   class Meta :     table_name = 'student'     host = 'http://localhost:8000' # region = 'us-east-1'     write_capacity_units = 5       read_capacity_units = 5     id = UnicodeAttribute(hash_key= True )   grade = UnicodeAttribute(null= True ) You may remove the host = localhost (and optionally specify the region) to run it on the cloud. test.py from student import Studen...

This post shows examples of DynamoDB usage from Python boto3. install % pip install boto3 % pip list | grep boto3 boto3                              1.17.61 test.py import boto3 # connect to dynamodb (local) # remove endpoint_url to use the cloud dynamodb = boto3.resource( 'dynamodb' , endpoint_url= 'http://localhost:8000' ) # list table table_list = dynamodb.tables.all() for table in table_list:   print (table.table_name) # create table table = dynamodb.create_table(   TableName= 'student' ,   AttributeDefinitions=[     {       'AttributeName' : 'id' ,       'AttributeType' : 'S'     },   ],   KeySchema=[     {       'AttributeName' : 'id' ,       'KeyType' : 'HASH'     }   ],   ProvisionedThroughput={     'ReadCapacityUnits' : 5 ,     'WriteCapacityUnits' ...