aws-solutions-constructs.aws-apigatewayv2websocket-sqs

v2.102.0 safe
2.0
Low Risk

CDK constructs for defining an interaction between an AWS Lambda function and an Amazon S3 bucket.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and has minimal risks across all categories. It appears to be a legitimate tool for integrating AWS API Gateway with SQS.

  • No network, shell execution, or obfuscation risks detected.
  • Low credential risk.
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages that don't require real-time interaction with external services.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructs
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository awslabs/aws-solutions-constructs appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-solutions-constructs.aws-apigatewayv2websocket-sqs 
Create a real-time chat application using the Python package 'aws-solutions-constructs.aws-apigatewayv2websocket-sqs'. This package will enable you to define an interaction between an AWS Lambda function and an Amazon SQS queue via an API Gateway WebSocket API. Your goal is to build a simple yet functional chat application where users can join a room, send messages, and receive messages from other participants in real time.

Step-by-step guide:
1. Set up your development environment with Python, AWS CDK, and the required AWS credentials.
2. Initialize a new AWS CDK project and install the necessary packages including 'aws-solutions-constructs.aws-apigatewayv2websocket-sqs'.
3. Define a WebSocket API using the provided construct which integrates with an SQS queue. This integration will facilitate the communication between clients and the backend Lambda function.
4. Create an AWS Lambda function that processes incoming messages from the WebSocket API and sends them to the SQS queue. Also, configure it to handle messages from the queue and push updates back to connected clients.
5. Implement client-side functionality using JavaScript or any preferred language to connect to the WebSocket API, send messages, and listen for incoming messages.
6. Ensure that the application handles user authentication and authorization to join different chat rooms securely.
7. Add additional features such as persistent storage of chat history, message archiving, and user profile management.
8. Test the application thoroughly to ensure real-time messaging works correctly and efficiently.
9. Deploy the application to AWS and provide instructions for others to run and test it.

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