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local-web-services-python-sdk

Python testing SDK for local-web-services — starts in-process AWS service emulators and provides pre-configured boto3 clients that point at them. Your production code works unchanged: the SDK sets AWS_ENDPOINT_URL_* environment variables that boto3 picks up automatically.

Installation

pip install local-web-services-python-sdk
# or
uv add local-web-services-python-sdk

Requires Python 3.9+ and boto3.

Quick start

from lws_testing import LwsSession, DynamoTable, SqsQueue, S3Bucket

with LwsSession(
    DynamoTable("Orders", hash_key="id"),
    SqsQueue("OrderQueue"),
    S3Bucket("my-bucket"),
) as session:
    # Get a boto3 client pointing at the local emulator
    dynamo = session.client("dynamodb")
    dynamo.put_item(TableName="Orders", Item={"id": {"S": "1"}, "status": {"S": "pending"}})

    item = dynamo.get_item(TableName="Orders", Key={"id": {"S": "1"}})
    assert item["Item"]["status"]["S"] == "pending"

    # SQS
    sqs = session.client("sqs")
    queue_url = session.queue_url("OrderQueue")
    sqs.send_message(QueueUrl=queue_url, MessageBody="hello")

    # S3
    s3 = session.client("s3")
    s3.put_object(Bucket="my-bucket", Key="file.txt", Body=b"hello")

Auto-discover resources from CDK / Terraform

# Read resource definitions from a CDK project
with LwsSession.from_cdk("../my-cdk-project") as session:
    dynamo = session.client("dynamodb")
    ...

# Read resource definitions from a Terraform project
with LwsSession.from_hcl("../my-terraform-project") as session:
    s3 = session.client("s3")
    ...

Resource specs

Declare the resources your test needs up front so LwsSession creates them before the test runs:

Spec Description
DynamoTable(name, hash_key, sort_key=None) PAY_PER_REQUEST DynamoDB table
SqsQueue(name) Standard SQS queue
S3Bucket(name) S3 bucket
SnsTopic(name) SNS topic
SsmParameter(name, value, type="String") SSM Parameter Store entry
Secret(name, value) Secrets Manager secret
StateMachine(name, definition) Step Functions state machine

pytest integration

The package registers pytest fixtures automatically via the pytest11 entry point. Add a session fixture to your conftest.py:

# conftest.py
import pytest
from lws_testing import DynamoTable, SqsQueue

@pytest.fixture(scope="session")
def lws_session_spec():
    return [
        DynamoTable("Orders", hash_key="id"),
        SqsQueue("OrderQueue"),
    ]

Then use the lws_session fixture in your tests:

def test_create_order(lws_session):
    client = lws_session.client("dynamodb")
    client.put_item(TableName="Orders", Item={"id": {"S": "42"}})
    item = client.get_item(TableName="Orders", Key={"id": {"S": "42"}})
    assert item["Item"]["id"]["S"] == "42"

Supported services

All 20 services are available via session.client(service_name):

Service session.client(...) name
DynamoDB "dynamodb"
SQS "sqs"
S3 "s3"
SNS "sns"
EventBridge "events"
Step Functions "stepfunctions"
Cognito IDP "cognito-idp"
Lambda "lambda"
API Gateway "apigateway"
RDS "rds"
DocumentDB "docdb"
SSM Parameter Store "ssm"
Secrets Manager "secretsmanager"
ElastiCache "elasticache"
Neptune "neptune"
MemoryDB "memorydb"
Glacier "glacier"
Elasticsearch "es"
OpenSearch "opensearch"
S3 Tables "s3tables"

How it works

LwsSession picks a random free base port and starts each service emulator in a background thread within the test process. It sets AWS_ENDPOINT_URL_<SERVICE> (and stub credentials) in the current process environment so that any boto3 client created during the test automatically talks to the local emulator. On __exit__ the servers are stopped and the environment is restored.

License

MIT

Metadata

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