aio-lanraragi

v0.1.22 safe
2.0
Low Risk

An asynchronous Python API client for LANraragi, written with aiohttp and pydantic for type validation.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of risk with no detected shell execution, obfuscation, or credential mishandling. The moderate metadata risk is not indicative of malicious activity.

  • Low network risk
  • No shell execution patterns
  • No obfuscation detected
  • Safe handling of credentials
  • Moderate metadata risk
Per-check LLM notes
  • Network: The network call patterns are typical for an asynchronous HTTP client setup in Python using aiohttp.
  • Shell: No shell execution patterns detected.
  • 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: Low activity and metadata quality suggest potential low effort or new maintainer, but no clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6609 chars)
○ 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

  • 84 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in psilabs-dev/aio-lanraragi
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • self.client_session = aiohttp.ClientSession(connector=self.connector, connector_owner=False)
  • self.client_session = aiohttp.ClientSession(connector=aiohttp.TCPConnector(ssl=self.ssl)) el
  • self.client_session = aiohttp.ClientSession() return self.client_session async def close(se
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "psilabs-dev" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aio-lanraragi 
Create a fully-functional mini-application called 'RarViewer' using the Python package 'aio-lanraragi'. RarViewer is a command-line tool designed to interact with a LANraragi server, allowing users to manage their manga archive collections more efficiently. Your task is to build a feature-rich application that showcases the capabilities of 'aio-lanraragi', including but not limited to listing all available volumes, searching for specific volumes, downloading volumes, and updating volume metadata.

### Key Features:
1. **Volume Listing**: Display all volumes available on the LANraragi server in a user-friendly format.
2. **Search Functionality**: Allow users to search for volumes by title, author, or tags.
3. **Download Mechanism**: Implement a feature to download selected volumes directly from the LANraragi server.
4. **Metadata Update**: Provide functionality to update volume metadata such as title, author, tags, etc.
5. **Error Handling**: Ensure robust error handling to gracefully manage any issues encountered during API interactions.
6. **User Authentication**: Incorporate basic authentication mechanisms to secure interactions with the LANraragi server.

### Utilization of 'aio-lanraragi':
- Use 'aio-lanraragi' to asynchronously communicate with the LANraragi server, leveraging its aiohttp and pydantic integration for efficient and type-safe API interactions.
- For each feature, demonstrate how you utilize 'aio-lanraragi' methods to achieve the desired outcome, ensuring that the code is clean, modular, and well-documented.
- Focus on showcasing the power of asynchronous programming with 'aio-lanraragi' by optimizing the performance of your application.

### Deliverables:
- A complete, functional Python script implementing RarViewer.
- Detailed documentation explaining the implementation of each feature, the usage of 'aio-lanraragi', and any design decisions made.
- Examples of running the application and screenshots or console outputs demonstrating the functionality.

💬 Discussion Feed

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