aind-session

v0.3.22 suspicious
4.0
Medium Risk

User-friendly tools for accessing paths, metadata and assets related to AIND sessions.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate network interaction and incomplete maintainer information, suggesting potential risks that need further investigation.

  • moderate network risk
  • incomplete maintainer information
Per-check LLM notes
  • Network: The network calls suggest the package interacts with external services, which could be legitimate if documented behavior.
  • Shell: No shell execution patterns detected.
  • Metadata: The maintainer's author information is incomplete and they may be new or inactive, raising some concern but not definitive evidence of malice.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_core.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6923 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

  • 74 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in AllenNeuralDynamics/aind-session
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ) return requests.get( get_codeocean_client() .computation
  • in kwargs: session = requests.Session() session.mount( prefix="https://",
✓ 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: alleninstitue.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AllenNeuralDynamics/aind-session 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 aind-session 
Your task is to develop a mini-application named 'AIND Session Manager' which will utilize the Python package 'aind-session'. This application aims to streamline the management of AIND sessions by providing an easy-to-use interface for accessing session-related information such as paths, metadata, and assets. The goal is to make it simple for users to manage their sessions without needing to delve into complex configurations or manual file handling.

Here’s a detailed breakdown of the steps and features your application should include:

1. **Session Initialization**: Allow users to initialize a new AIND session or load an existing one. This involves setting up the necessary directories and files according to the specifications provided by the 'aind-session' package.
2. **Metadata Management**: Implement functionalities to add, modify, and retrieve metadata associated with each session. Metadata could include session start/end times, notes, tags, etc.
3. **Asset Handling**: Enable users to upload, download, and delete assets linked to specific sessions. Assets could be any type of file relevant to the session (e.g., images, documents).
4. **Path Navigation**: Provide a user-friendly way to navigate through different parts of the session directory structure. Users should be able to easily locate and interact with various files and folders.
5. **Search Functionality**: Integrate a search feature that allows users to find sessions based on specific criteria such as date range, tags, or keywords within metadata.
6. **User Interface**: Design a clean and intuitive graphical user interface (GUI) using a library like Tkinter or PyQt, ensuring that all the above functionalities are accessible via a simple point-and-click interface.
7. **Logging and Error Handling**: Ensure that the application logs all actions performed (e.g., session creation, asset uploads/downloads) and provides informative error messages when issues arise.

To achieve these goals, you'll need to leverage several key features of the 'aind-session' package:
- Use `aind-session.init_session()` to set up new sessions.
- Utilize `aind-session.get_metadata()` and `aind-session.set_metadata()` for managing session metadata.
- Employ `aind-session.upload_asset()`, `aind-session.download_asset()`, and `aind-session.delete_asset()` for handling assets.
- Take advantage of `aind-session.list_contents()` to facilitate path navigation and asset listing.
- Implement `aind-session.search_sessions()` to enable advanced searching capabilities.

By following these guidelines, your 'AIND Session Manager' will become a powerful tool for anyone working with AIND sessions, making session management more efficient and user-friendly.

💬 Discussion Feed

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