aws-resource-validator-apigatewaymanagementapi

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS apigatewaymanagementapi, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. However, the incomplete author information and potential inactivity of the maintainer slightly elevate the metadata risk.

  • No network calls detected
  • Incomplete author information
  • Potential inactivity of maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • 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 information is incomplete and the maintainer seems to be new or inactive.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (348 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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-resource-validator-apigatewaymanagementapi 
Create a real-time chat application using AWS API Gateway Management API and the 'aws-resource-validator-apigatewaymanagementapi' Python package. This application will allow multiple users to connect to a WebSocket endpoint hosted on AWS API Gateway and exchange messages in real-time. The application will consist of a server component written in Python and a simple web-based client for user interaction.

### Core Features:
- **WebSocket Connection:** Users should be able to establish a WebSocket connection to the API Gateway endpoint.
- **Message Sending & Receiving:** Once connected, users can send messages to the server which will broadcast them to all other connected clients.
- **User List:** Display a list of currently connected users.
- **Error Handling:** Gracefully handle disconnections, errors, and invalid inputs.

### Utilizing 'aws-resource-validator-apigatewaymanagementapi':
This package provides Pydantic v2 models specifically designed for validating requests and responses from AWS API Gateway Management API. It ensures that the data exchanged between your application and the API Gateway is structured correctly according to AWS standards. By leveraging these models, you can validate incoming messages and outgoing responses, enhancing the robustness and reliability of your chat application.

### Steps to Implement:
1. **Setup AWS Resources:** Create an AWS API Gateway with WebSocket support and deploy it. Configure necessary permissions and endpoints.
2. **Install Dependencies:** Install required Python packages including 'aws-resource-validator-apigatewaymanagementapi'.
3. **Server Implementation:** Write a Python script that listens for WebSocket connections, validates incoming messages using the provided Pydantic models, broadcasts messages to all connected clients, and maintains a list of active users.
4. **Client Development:** Develop a simple HTML/CSS/JavaScript frontend that allows users to connect to the WebSocket endpoint, send messages, receive messages, and view the list of connected users.
5. **Testing:** Test the application thoroughly to ensure all features work as expected and that error handling is effective.
6. **Deployment:** Deploy both the backend and frontend components so that they are accessible over the internet.

By following these steps and utilizing the 'aws-resource-validator-apigatewaymanagementapi' package, you'll create a robust and scalable real-time chat application that leverages the power of AWS API Gateway Management API.

💬 Discussion Feed

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