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Python

You can use the LocalStack SDK for Python to develop Python applications that interact with the LocalStack platform and internal developer endpoints. The SDK extends the REST API, offering an object-oriented interface for easier use.

The LocalStack SDK for Python supports these features:

  • Save, list, load, and delete Cloud Pods.
  • Manage fault configurations for the Chaos API.
  • Automatically reset service states.
  • List SQS queue messages without causing side effects.
  • Retrieve and delete sent SES messages.

Install the latest localstack-sdk-python release via pip:

Terminal window
pip install --upgrade localstack-sdk-python

LocalStack SDK for Python organizes functionality into specific modules like aws, state, pods, and chaos. For example, the aws module allows developers to initialize clients for various AWS services. Using the SDK in Python is straightforward: developers can import the relevant modules and initialize specific clients (e.g., AWSClient, StateClient, PodsClient, ChaosClient) to perform actions on local AWS services.

The following code snippet shows how to set up an SQS client, create a queue, send messages, and retrieve them to test local SQS interactions using LocalStack.

import json
import boto3
import localstack.sdk.aws
# Initialize LocalStack AWS client
client = localstack.sdk.aws.AWSClient()
# Set up SQS client using the LocalStack AWS client configuration
sqs_client = boto3.client(
"sqs",
endpoint_url=client.configuration.host,
region_name="us-east-1",
aws_access_key_id="test",
aws_secret_access_key="test",
)
# Create an SQS queue
queue_name = "test-queue"
sqs_client.create_queue(QueueName=queue_name)
queue_url = sqs_client.get_queue_url(QueueName=queue_name)["QueueUrl"]
# Send messages to the queue
for i in range(5):
sqs_client.send_message(
QueueUrl=queue_url,
MessageBody=json.dumps(
{"event": f"event-{i}", "message": f"message-{i}"}
),
)
# Retrieve messages from the queue
response = sqs_client.receive_message(
QueueUrl=queue_url,
MaxNumberOfMessages=5
)
# Print each message body
messages = response.get("Messages", [])
for msg in messages:
print("Message Body:", msg.get("Body"))
Terminal window
Message Body: {"event": "event-0", "message": "message-0"}
Message Body: {"event": "event-1", "message": "message-1"}
Message Body: {"event": "event-2", "message": "message-2"}
Message Body: {"event": "event-3", "message": "message-3"}
Message Body: {"event": "event-4", "message": "message-4"}

The following code snippet verifies an email address, sends a raw email, retrieves the message ID, and discards all SES messages afterward.

import boto3
import localstack.sdk.aws
client = localstack.sdk.aws.AWSClient()
# Initialize SES client
ses_client = boto3.client(
"ses",
endpoint_url=client.configuration.host,
region_name="us-east-1",
aws_access_key_id="test",
aws_secret_access_key="test",
)
# Verify email address
email = "user@example.com"
ses_client.verify_email_address(EmailAddress=email)
# Send a raw email
raw_message_data = f"From: {email}\nTo: recipient@example.com\nSubject: test\n\nThis is the message body.\n\n"
ses_client.send_raw_email(RawMessage={"Data": raw_message_data})
# Get and print SES message IDs
messages = client.get_ses_messages()
for msg in messages:
print("Message ID:", msg.id)
# Discard all SES messages
client.discard_ses_messages()
Terminal window
Message ID: khqzljuixhpnpejl-mnlhgajk-ebch-zfxq-orit-qgexxjlrkipo-ywgvwr

LocalStack provides various features for managing local state, including Cloud Pods, which allow for saving, loading, and deleting cloud states.

Cloud Pods is a feature that enables storing and managing snapshots of the current state. This code snippet shows listing available pods, saving a new pod, loading it, and then deleting it. You need to set your LOCALSTACK_AUTH_TOKEN in your terminal session before running the snippet.

from localstack.sdk.pods import PodsClient
POD_NAME = "ls-cloud-pod"
client = PodsClient()
# List all pods
pods = client.list_pods()
print("Pods:", pods)
# Save Cloud Pod
client.save_pod(pod_name=POD_NAME)
print(f"Pod '{POD_NAME}' saved.")
# Load Cloud Pod
client.load_pod(pod_name=POD_NAME)
print(f"Pod '{POD_NAME}' loaded.")
# Delete Cloud Pod
client.delete_pod(pod_name=POD_NAME)
print(f"Pod '{POD_NAME}' deleted.")
Terminal window
Pods: cloudpods=[PodListCloudpodsInner(max_version=1, pod_name='check-pod', last_change=None)]
Pod 'ls-cloud-pod' saved.
Pod 'ls-cloud-pod' loaded.
Pod 'ls-cloud-pod' deleted.

The following example demonstrates how to reset the current cloud state using LocalStack’s StateClient.

import boto3
from localstack.sdk.state import StateClient
# Initialize StateClient and SQS client
client = StateClient()
sqs_client = boto3.client(
"sqs",
endpoint_url=client.configuration.host,
region_name="us-east-1",
aws_access_key_id="test",
aws_secret_access_key="test",
)
# Create SQS queue
sqs_client.create_queue(QueueName="test-queue")
url = sqs_client.get_queue_url(QueueName="test-queue")["QueueUrl"]
print("Queue URL before reset:", url)
# Reset state
client.reset_state()
print("State reset.")
# Try to retrieve the queue URL after state reset
try:
sqs_client.get_queue_url(QueueName="test-queue")
except Exception as exc:
error_code = exc.response["Error"]["Code"]
print("Error after state reset:", error_code)
Terminal window
Queue URL before reset: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/test-queue
State reset.
Error after state reset: AWS.SimpleQueueService.NonExistentQueue

LocalStack’s Chaos API enables fault injection to simulate issues in AWS services. This example shows how to add a fault rule for the S3 service, retrieve and display the rule, and finally delete it to return to normal operations.

import localstack.sdk.chaos
from localstack.sdk.models import FaultRule
# Initialize ChaosClient
client = localstack.sdk.chaos.ChaosClient()
# Add a fault rule for S3
rule = FaultRule(region="us-east-1", service="s3")
rules = client.add_fault_rules(fault_rules=[rule])
print("Added S3 rule:", [(r.region, r.service) for r in rules])
# Retrieve and display current fault rules
rules = client.get_fault_rules()
print("Current rules:", [(r.region, r.service) for r in rules])
# Delete the S3 fault rule
rules = client.delete_fault_rules(fault_rules=[rule])
print("Rules after deleting S3 rule:", [(r.region, r.service) for r in rules])
Terminal window
Added S3 rule: [('us-east-1', 's3')]
Current rules: [('us-east-1', 's3')]
Rules after deleting S3 rule: []