aind-session-json-service-async-client

v0.1.5 safe
2.0
Low Risk

aind-session-json-service

πŸ€– AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators across all categories. It appears to be a legitimate async client library with expected network calls and no signs of malicious activity.

  • Low network risk due to expected functionality
  • No evidence of obfuscation, shell execution, or credential harvesting
Per-check LLM notes
  • Network: The detection of network calls is expected for an async client library, as it likely communicates with a service to manage sessions and JSON data.
  • Shell: No shell execution patterns were detected, which is normal and expected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a single package and lacks PyPI classifiers, indicating low effort or newness, but no clear signs of malicious intent.

πŸ“¦ Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present β€” 12 test file(s) found

  • 12 test file(s) detected (e.g. test_default_api.py)
β—‹ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 16 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • self.pool_manager = aiohttp.ClientSession( connector=aiohttp.TCPConnector(limit=self.m
βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: openapitools.org

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aind-session-json-service-async-client
Create a fully functional mini-application using the Python package 'aind-session-json-service-async-client'. This application will serve as a session management tool for a simple web-based chat application. Your task is to implement a system where users can log in, maintain their sessions, and interact with each other in real-time. Here’s a detailed breakdown of what your application should accomplish:

1. **User Registration**: Allow new users to register with unique usernames and passwords.
2. **Login System**: Implement a login system that authenticates users based on their credentials and manages sessions.
3. **Real-Time Chat**: Enable logged-in users to send messages to each other in real-time.
4. **Session Management**: Use 'aind-session-json-service-async-client' to manage user sessions asynchronously. This includes storing session data, validating sessions, and handling session timeouts.
5. **Security Measures**: Ensure that all sensitive information is handled securely, including hashing passwords before storage and using secure methods for session management.
6. **UI/UX Design**: While not the primary focus, consider basic UI/UX principles to make the application user-friendly.

### Utilizing 'aind-session-json-service-async-client'
- **Session Storage**: Use the package to store and retrieve session data for authenticated users.
- **Session Validation**: Implement logic to validate sessions upon user actions such as sending a message or logging out.
- **Timeout Handling**: Set up automatic session expiration after a period of inactivity.

### Additional Features (Optional)
- **Message History**: Store recent messages for each user session so they can view past conversations.
- **Online Status**: Display whether a user is currently active or offline.
- **User Profiles**: Allow users to customize their profiles with additional information like profile pictures or bio details.

Your goal is to create a robust, secure, and efficient application that leverages the asynchronous capabilities of 'aind-session-json-service-async-client' to enhance performance and scalability.

πŸ’¬ Discussion Feed

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