aiohappyeyeballs

v2.6.2 safe
3.0
Low Risk

Happy Eyeballs for asyncio

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity or suspicious behavior. It has a low metadata risk with a single maintained package, but there are no other red flags.

  • Low network and shell execution risks
  • No obfuscation or credential harvesting detected
Per-check LLM notes
  • Network: No network calls detected; this is not unusual and may be due to the package's specific use case or design.
  • Shell: No shell execution patterns detected; this is normal and indicates that the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active developer, but no other red flags are present.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • Test runner config found: pyproject.toml
  • Test runner config found: conftest.py
  • 7 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aiohappyeyeballs.readthedocs.io
  • Detailed PyPI description (4757 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 62 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 9 unique contributor(s) across 100 commits in aio-libs/aiohappyeyeballs
  • 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

Email domain looks legitimate: koston.org

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aio-libs/aiohappyeyeballs appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "J. Nick Koston" 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 aiohappyeyeballs 
Create a fully-functional mini-application named 'AsyncDNSResolver' that leverages the 'aiohappyeyeballs' package for efficient DNS resolution. The application should serve as a tool to demonstrate how to use asynchronous DNS resolution in a practical scenario, ensuring that the application can quickly switch between IPv4 and IPv6 addresses if one type of address fails to resolve or connect within a specified timeout period.

Step-by-step instructions:
1. Start by setting up a basic structure for your AsyncDNSResolver application. Ensure you have a main function where the application logic will reside.
2. Integrate the 'aiohappyeyeballs' package into your project. Make sure to install it using pip or any other preferred method.
3. Define a function called `resolve_host` which takes a hostname as input and uses 'aiohappyeyeballs' to resolve both IPv4 and IPv6 addresses concurrently. This function should return a list of resolved IP addresses.
4. Implement error handling within your `resolve_host` function to manage situations where no IP addresses could be resolved or if there were network-related errors during the resolution process.
5. Add a feature that allows users to specify a timeout value for DNS resolution attempts. If the resolution does not complete within the specified time, the function should gracefully handle the timeout and provide appropriate feedback.
6. Create a simple command-line interface (CLI) for your application where users can input a domain name and optionally set a timeout value for DNS resolution.
7. Extend your application to include logging functionality, allowing users to see the progress and results of DNS resolutions in real-time.
8. Finally, ensure that your application is well-documented, including comments within the code and a README file explaining how to run the application and what each part of the code does.

Suggested Features:
- Implement support for resolving multiple hostnames at once, returning a dictionary mapping each hostname to its resolved IPs.
- Allow users to specify whether they prefer IPv4 or IPv6 addresses in case both are available.
- Incorporate a retry mechanism in case of resolution failures.
- Provide options for configuring the order in which IPv4 and IPv6 addresses are attempted during resolution.

How 'aiohappyeyeballs' is utilized:
- The 'aiohappyeyeballs' package is crucial for enabling concurrent DNS resolution attempts for IPv4 and IPv6 addresses. It ensures that if one resolution attempt fails or takes too long, the application can immediately switch to the other type of address without waiting for the initial attempt to fail completely.
- By leveraging 'aiohappyeyeballs', your AsyncDNSResolver application can offer near-instantaneous fallbacks between different types of network connections, enhancing reliability and performance in environments where both IPv4 and IPv6 are available.