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48 changes: 48 additions & 0 deletions lambda-durable-rest-api-sam-py/.gitignore
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# SAM
.aws-sam/
samconfig.toml

# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# Virtual environments
venv/
ENV/
env/
.venv

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
Thumbs.db

# Testing
.pytest_cache/
.coverage
htmlcov/
111 changes: 111 additions & 0 deletions lambda-durable-rest-api-sam-py/README.md
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# Lambda Durable Function - REST API Call with Python
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Suggested change
# Lambda Durable Function - REST API Call with Python
# AWS Lambda durable functions - REST API Call with Python


This pattern demonstrates a Lambda durable function that calls an external REST API using Python.
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Suggested change
This pattern demonstrates a Lambda durable function that calls an external REST API using Python.
This pattern demonstrates a Lambda durable functions that calls an external REST API using Python.


Learn more about this pattern at Serverless Land Patterns: << Add the live URL here >>
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You can already infer the URL from the folder name.


Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the [AWS Pricing page](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.

## Requirements

* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed

## Deployment Instructions

1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
```
git clone https://github.com/aws-samples/serverless-patterns
```
1. Change directory to the pattern directory:
```
cd lambda-durable-rest-api-sam-py
```

1. From the command line, use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yml file:
```
sam build
sam deploy --guided
```
1. During the prompts:
* Enter a stack name
* Enter the desired AWS Region
* Allow SAM CLI to create IAM roles with the required permissions.

Once you have run `sam deploy --guided` mode once and saved arguments to a configuration file (samconfig.toml), you can use `sam deploy` in future to use these defaults.

1. Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.

## How it works

This pattern demonstrates AWS Lambda Durable Execution for calling external REST APIs. It uses the AWS Durable Execution SDK to create a durable function that can:
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Suggested change
This pattern demonstrates AWS Lambda Durable Execution for calling external REST APIs. It uses the AWS Durable Execution SDK to create a durable function that can:
This pattern demonstrates AWS Lambda durable functions for calling external REST APIs. It uses the AWS durable execution SDK to create a Lambda function that can:

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It seems that there is something missing at the end


**AWS Durable Execution Features:**
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This reads more like a product description. Focus on what this pattern does

- **Automatic State Management**: AWS manages execution state across invocations
- **Durable Steps**: The `@durable_step` decorator marks functions that can be retried automatically
- **Durable Waits**: Use `context.wait()` to pause execution without consuming CPU or memory
- **Built-in Retry Logic**: Failed steps are automatically retried by AWS
- **Execution History**: AWS tracks the complete execution history and state

The function uses two key components:
1. `@durable_step` - Wraps the REST API call, making it automatically retryable
2. `@durable_execution` - Marks the Lambda handler as a durable execution workflow

AWS Lambda Durable Execution automatically handles failures, retries, and state persistence without requiring external services like DynamoDB or Step Functions.
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Please make sure to consistently 1/ use the correct service name and 2/ capitalization

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Always use the correct service name prefix on the first mention


## Testing

1. Get the function name from the stack outputs:
```bash
aws cloudformation describe-stacks --stack-name <your-stack-name> \
--query 'Stacks[0].Outputs[?OutputKey==`FunctionName`].OutputValue' --output text
```

2. Invoke the function with default URL:
```bash
aws lambda invoke \
--function-name <function-name> \
--payload '{}' \
response.json && cat response.json
```

3. Invoke with a custom URL:
```bash
aws lambda invoke \
--function-name <function-name> \
--payload '{"url": "https://jsonplaceholder.typicode.com/users/1"}' \
response.json && cat response.json
```

Example JSON Lambda test event:
```json
{
"url": "https://jsonplaceholder.typicode.com/posts/1"
}
```

Expected response (success):
```json
{
"statusCode": 200,
"headers": {"Content-Type": "application/json"},
"body": "{\"message\": \"API call successful\", \"url\": \"https://jsonplaceholder.typicode.com/posts/1\", \"data\": {...}}"
}
```

The execution is durable - if the API call fails, AWS Lambda will automatically retry the `call_rest_api` step without re-executing the entire function.

## Cleanup

1. Delete the stack:
```bash
aws cloudformation delete-stack --stack-name <your-stack-name>
```
1. Confirm the stack has been deleted:
```bash
aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'<your-stack-name>')].StackStatus"
```

----
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Copyright footer is missing

64 changes: 64 additions & 0 deletions lambda-durable-rest-api-sam-py/example-pattern.json
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{
"title": "Lambda Durable Function - REST API Call",
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Suggested change
"title": "Lambda Durable Function - REST API Call",
"title": "AWS Lambda durable function - REST API Call",

"description": "A Lambda function that calls an external REST API using AWS Durable Execution SDK for automatic retries and state management.",
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Suggested change
"description": "A Lambda function that calls an external REST API using AWS Durable Execution SDK for automatic retries and state management.",
"description": "A Lambda function that calls an external REST API using AWS durable execution SDK for automatic retries and state management.",

"language": "Python",
"level": "200",
"framework": "SAM",
"introBox": {
"headline": "How it works",
"text": [
"This pattern demonstrates AWS Lambda Durable Execution for calling external REST APIs.",
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Suggested change
"This pattern demonstrates AWS Lambda Durable Execution for calling external REST APIs.",
"This pattern demonstrates AWS Lambda durable functions for calling external REST APIs.",

"Uses the @durable_step decorator to make the REST API call automatically retryable.",
"Uses the @durable_execution decorator to mark the Lambda handler as a durable workflow.",
"AWS automatically handles failures, retries, and state persistence without external services."
]
},
"gitHub": {
"template": {
"repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/lambda-durable-rest-api-sam-py",
"templateURL": "serverless-patterns/lambda-durable-rest-api-sam-py",
"projectFolder": "lambda-durable-rest-api-sam-py",
"templateFile": "template.yaml"
}
},
"resources": {
"bullets": [
{
"text": "AWS Lambda Durable Execution",
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Suggested change
"text": "AWS Lambda Durable Execution",
"text": "AWS Lambda durable execution",

"link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html"
},
{
"text": "AWS Lambda Developer Guide",
"link": "https://docs.aws.amazon.com/lambda/latest/dg/welcome.html"
},
{
"text": "Python Requests Library",
"link": "https://requests.readthedocs.io/"
}
]
},
"deploy": {
"text": [
"sam build",
"sam deploy --guided"
]
},
"testing": {
"text": [
"See the GitHub repo for detailed testing instructions."
]
},
"cleanup": {
"text": [
"Delete the stack: <code>aws cloudformation delete-stack --stack-name STACK_NAME</code>."
]
},
"authors": [
{
"name": "Theophilus Ajayi",
"image": "https://drive.google.com/file/d/1hUrUxWk2JqDTbPhl0DgUeUVd2uFWnAby/view?usp=drivesdk",
"bio": "Technical Account Manager @ AWS",
"linkedin": "tolutheo"
}
]
}
83 changes: 83 additions & 0 deletions lambda-durable-rest-api-sam-py/src/app.py
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"""
Lambda Durable Function - Calls REST API using AWS Durable Execution SDK
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Lambda Durable Function - Calls REST API using AWS Durable Execution SDK
AWS Lambda durable function - Calls REST API using AWS durable execution SDK

"""
import json
import os
import requests
from aws_durable_execution_sdk_python.config import Duration
from aws_durable_execution_sdk_python.context import StepContext, durable_step
from aws_durable_execution_sdk_python.execution import durable_execution

DEFAULT_API_URL = os.environ.get('API_URL', 'https://jsonplaceholder.typicode.com/posts/1')


@durable_step
def call_rest_api(step_context: StepContext, url: str) -> dict:
"""
Durable step that calls an external REST API
"""
step_context.logger.info(f"Calling REST API: {url}")

try:
response = requests.get(url, timeout=30)
response.raise_for_status()

result = {
'status': 'success',
'status_code': response.status_code,
'data': response.json()
}

step_context.logger.info(f"API call successful: {response.status_code}")
return result

except requests.exceptions.RequestException as e:
step_context.logger.error(f"API call failed: {str(e)}")
return {
'status': 'error',
'error': str(e)
}


@durable_execution
def lambda_handler(event, context) -> dict:
"""
Lambda handler using AWS Durable Execution
"""
context.logger.info("Starting durable REST API call")

# Get API URL from event or use default
api_url = event.get('url', DEFAULT_API_URL)

context.logger.info(f"Using API URL: {api_url}")

# Execute the REST API call as a durable step
result = context.step(call_rest_api(api_url))

# Optional: Add a wait period (demonstrates durable wait without consuming CPU)
context.logger.info("Waiting 2 seconds before returning response")
context.wait(Duration.from_seconds(2))

context.logger.info("Durable execution completed")

# Return response based on result
if result['status'] == 'success':
return {
'statusCode': 200,
'headers': {'Content-Type': 'application/json'},
'body': json.dumps({
'message': 'API call successful',
'url': api_url,
'data': result['data']
})
}
else:
return {
'statusCode': 500,
'headers': {'Content-Type': 'application/json'},
'body': json.dumps({
'error': 'API call failed',
'url': api_url,
'details': result.get('error')
})
}
2 changes: 2 additions & 0 deletions lambda-durable-rest-api-sam-py/src/requirements.txt
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requests>=2.31.0
aws-durable-execution-sdk-python
30 changes: 30 additions & 0 deletions lambda-durable-rest-api-sam-py/template.yaml
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AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: Lambda Durable Function - Call REST API with Python

Resources:
DurableFunction:
Type: AWS::Serverless::Function
Properties:
CodeUri: src/
Handler: app.lambda_handler
Runtime: python3.14
Timeout: 300
DurableConfig:
ExecutionTimeout: 900 # 15 minutes - allows durablefunction to be invoked syncronously and asynchronously
RetentionPeriodInDays: 7
MemorySize: 512
Architectures:
- x86_64
Environment:
Variables:
API_URL: https://jsonplaceholder.typicode.com/posts/1
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What is the purpose of this URL?


Outputs:
FunctionArn:
Description: Lambda Function ARN
Value: !GetAtt DurableFunction.Arn

FunctionName:
Description: Lambda Function Name
Value: !Ref DurableFunction