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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/
116 changes: 116 additions & 0 deletions lambda-durable-rest-api-sam-py/README.md
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The README uses "AWS Lambda durable Execution" with inconsistent mixed casing in two places. The feature name should use consistent lowercase: "Durable Execution".

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This is not clear. Is it "Durable Execution" or "durable execution"?
"The feature name should use consistent lowercase" but you have written it as upper case. For now I have left it as "Durable Execution".

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Yeah, sorry for the mix-up. The feature is called "Lambda durable functions" but its the "Durable Execution SDK"

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# 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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Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/lambda-durable-rest-api-sam-py

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
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* [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
* [Python 3.14](https://www.python.org/downloads/) installed locally (required for `sam build` to resolve pip dependencies and package the Lambda function)

## 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.yaml 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. 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.

## 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:
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See comment above on simplifying the code by just passing the URL in

```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.
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Any ideas on how to actually demonstrate/test this?


## Cleanup
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The section uses aws cloudformation delete-stack instead of sam delete. Since the pattern is deployed using SAM, sam delete is the recommended cleanup approach as it also handles S3 artifact cleanup.


1. Delete the stack:
```bash
aws sam delete-stack --stack-name <your-stack-name>
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Please update the example-pattern.json as well

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

## Learn More

- [Lambda durable functions Documentation](https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html)
- [Durable Execution SDK (Python)](https://github.com/aws/aws-durable-execution-sdk-python)
- [Callback Operations](https://docs.aws.amazon.com/lambda/latest/dg/durable-callback.html)
- [SendDurableExecutionCallbackSuccess API](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/lambda/client/send_durable_execution_callback_success.html)

---

Copyright 2025 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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Suggested change
Copyright 2025 Amazon.com, Inc. or its affiliates. All Rights Reserved.
Copyright 2026 Amazon.com, Inc. or its affiliates. All Rights Reserved.


SPDX-License-Identifier: MIT-0

64 changes: 64 additions & 0 deletions lambda-durable-rest-api-sam-py/example-pattern.json
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{
"title": "AWS Lambda durable function - REST API Call",
"description": "An AWS Lambda function that calls an external REST API using 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 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",
"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",
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Suggested change
"bio": "Technical Account Manager @ AWS",
"bio": "Technical Account Manager at AWS",

"linkedin": "tolutheo"
}
]
}
131 changes: 131 additions & 0 deletions lambda-durable-rest-api-sam-py/src/app.py
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"""
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, StepConfig
from aws_durable_execution_sdk_python.context import StepContext, durable_step
from aws_durable_execution_sdk_python.execution import durable_execution
from aws_durable_execution_sdk_python.retries import (
RetryStrategyConfig,
create_retry_strategy,
)

DEFAULT_API_URL = os.environ.get('API_URL', 'https://jsonplaceholder.typicode.com/posts/1')
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You are setting the default here as well as in the SAM template and passing it in during invoke. Let's remove the defaults and just have passed in as part of the payload


# Retry strategy: 3 attempts, exponential backoff starting at 2s, max 30s, with jitter
retry_config = RetryStrategyConfig(
max_attempts=3,
initial_delay=Duration.from_seconds(2),
max_delay=Duration.from_seconds(30),
backoff_rate=2.0,
retryable_error_types=[
requests.exceptions.ConnectionError,
requests.exceptions.Timeout,
requests.exceptions.HTTPError,
],
)
step_config = StepConfig(retry_strategy=create_retry_strategy(retry_config))


@durable_step
def call_rest_api(step_context: StepContext, url: str) -> dict:
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"""
Durable step that calls an external REST API.
Transient failures (timeouts, connection errors) are raised so the
durable execution SDK can automatically retry the step.
Only non-retryable errors (oversized response, invalid JSON) are
returned as error dicts.
"""
step_context.logger.info(f"Calling REST API: {url}")

max_response_size = 1_000_000 # 1 MB limit

response = requests.get(url, timeout=30, stream=True)
response.raise_for_status()

# Validate response size before reading body
content_length = response.headers.get('Content-Length')
if content_length and int(content_length) > max_response_size:
step_context.logger.error(f"Response too large: {content_length} bytes")
return {
'status': 'error',
'error': f'Response size {content_length} bytes exceeds limit of {max_response_size} bytes'
}

# Read body with size limit
body = response.content[:max_response_size]
if len(response.content) > max_response_size:
step_context.logger.error("Response body exceeded size limit")
return {
'status': 'error',
'error': f'Response body exceeds limit of {max_response_size} bytes'
}

data = json.loads(body)

step_context.logger.info(f"API call successful: {response.status_code}")
return {
'status': 'success',
'status_code': response.status_code,
'data': data
}


@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
# Transient failures (timeouts, connection errors) will raise exceptions,
# allowing the durable execution SDK to automatically retry the step.
try:
result = context.step(call_rest_api(api_url), config=step_config)
except Exception as e:
context.logger.error(f"Step failed after retries: {str(e)}")
return {
'statusCode': 502,
'headers': {'Content-Type': 'application/json'},
'body': json.dumps({
'error': 'API call failed after retries',
'url': api_url,
'details': str(e)
})
}

# 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
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