djg07

import json
import boto3
import uuid

client = boto3.client('stepfunctions')

def lambda_handler(event, context):
	#INPUT -> { "TransactionId": "foo", "Type": "PURCHASE"}
	transactionId = str(uuid.uuid1()) #90a0fce-sfhj45-fdsfsjh4-f23f

djg07

AWSLambdaBasicExecutionPolicy
---
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "logs:CreateLogGroup",
                "logs:CreateLogStream",

djg07

import json
import boto3

client = boto3.client('lambda')

def lambda_handler(event, context):
	inputForInvoker = {'CustomerId': '123', 'Amount': 50 }

	response = client.invoke(
		FunctionName='YOUR LAMBDA ARN',

djg07

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "dynamodb:PutItem"
            ],
            "Resource": "*"

djg07

import boto3

def lambda_handler(event, context):
	client = boto3.resource('dynamodb')
	table = client.Table('YOUR TABLE NAME')

	# S, N, M, L, B, SS, NS
	input = {'TransactionId': '31', 'State': 'PENDING',
	'RelatedTransactions': [32, 33, 34],
	'CustomerDetails': { 'Name': 'John Doe', 'AccountBalance': 50}}

djg07

import boto3
def main():
    # 1 - Create Client
    ddb = boto3.resource('dynamodb',
                         endpoint_url='http://localhost:8000',
                         region_name='dummy',
                         aws_access_key_id='dummy',
                         aws_secret_access_key='dummy')
    # 2 - Create the Table
    ddb.create_table(TableName='Transactions',