backend.ai-test

v26.4.3 suspicious
4.0
Medium Risk

Backend.AI Integration Test Suite

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low direct risks for obfuscation and credential harvesting. However, the metadata risk score suggests that the maintainer might be new or less active, warranting further investigation before full trust.

  • Low obfuscation risk
  • Low credential risk
  • Maintainer has only one package on PyPI
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 60 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.backend.ai/
  • Brief PyPI description (444 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

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

Active multi-contributor project

  • 9 unique contributor(s) across 100 commits in lablup/backend.ai
  • 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 score 2.0

Found 1 shell execution pattern(s)

  • _args = ctx.args result = subprocess.run( [ sys.executable, "-m",
✓ 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 lablup/backend.ai appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Lablup Inc. and contributors" 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 backend.ai-test 
Your task is to develop a simple yet powerful command-line tool using Python that integrates with the Backend.AI platform through the 'backend.ai-test' package. This tool will serve as a comprehensive test suite for various functionalities of Backend.AI, ensuring its robustness and reliability. Your application should be able to perform the following tasks:

1. **Setup Configuration**: Allow users to configure their Backend.AI environment details such as server URL, API keys, and other necessary parameters.
2. **Run Tests**: Implement a series of predefined tests to check different aspects of Backend.AI functionality, including but not limited to session management, resource allocation, and job execution.
3. **Generate Reports**: Provide a feature to generate detailed reports after running the tests, highlighting successes, failures, and any performance metrics.
4. **Interactive Mode**: Offer an interactive mode where users can manually trigger specific tests or groups of tests based on their needs.
5. **Logging**: Ensure all actions and results are logged appropriately for debugging and auditing purposes.

To achieve these objectives, you will heavily rely on the 'backend.ai-test' package, which provides essential tools and APIs for testing Backend.AI services. Your main focus should be on leveraging this package to streamline the testing process, making it more efficient and user-friendly. Additionally, consider adding custom error handling and user interface enhancements to make your tool stand out.

This project aims to create a valuable resource for developers and administrators who rely on Backend.AI, offering them a reliable way to validate and maintain the integrity of their system.

💬 Discussion Feed

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