atoti-client-observability

v0.9.15 suspicious
3.0
Low Risk

Code to configure observability of Atoti sessions

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across all categories except metadata, where the single-package authorship raises a flag. This could suggest potential supply-chain risks, though there's insufficient evidence for a definitive malicious classification.

  • Single-package authorship
  • Low individual risk scores
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
  • Metadata: The author has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

πŸ“¦ Package Quality Overall: Low (4.2/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.activeviam.com/products/atoti/python-sdk/0.9.15
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
β—ˆ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in atoti/atoti
  • Two distinct contributors found

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

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: activeviam.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository atoti/atoti appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ActiveViam" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with atoti-client-observability
Develop a Python-based mini-application that leverages the 'atoti-client-observability' package to enhance the monitoring and logging capabilities of an Atoti session. This application will serve as a tool for developers to better understand and optimize their usage of Atoti within their projects. Here’s a detailed breakdown of the requirements and steps to follow:

1. **Setup Environment**: Begin by setting up a virtual environment for your project. Ensure you install the necessary packages including 'atoti-client-observability'.
2. **Application Structure**: Create a modular application structure with separate modules for configuration, logging, and session management.
3. **Configuration Module**: Design a module to handle the configuration of observability settings. This should allow users to customize logging levels, enable/disable specific observability features, and configure output destinations such as console, file, or external logging services.
4. **Logging Module**: Implement a logging mechanism that captures various aspects of the Atoti session, such as query performance metrics, connection status, and any errors encountered during runtime. Utilize the 'atoti-client-observability' package to integrate these functionalities seamlessly.
5. **Session Management Module**: Develop a session management component that initializes an Atoti session using the configured observability settings. This module should also provide methods to close the session gracefully and handle any cleanup operations.
6. **User Interface**: While not mandatory, consider adding a simple command-line interface (CLI) or a basic GUI using Tkinter to interact with the application. This will allow users to start/stop sessions, view logs, and adjust observability configurations on-the-fly.
7. **Testing and Documentation**: Finally, ensure thorough testing of all components and provide comprehensive documentation detailing how to set up and use the application, including examples of common use cases and troubleshooting tips.

By following these steps, you'll create a robust and flexible tool that enhances the developer experience when working with Atoti, making it easier to debug issues and optimize performance.

πŸ’¬ Discussion Feed

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