aiocentriconnect

v0.2.3 suspicious
4.0
Medium Risk

Asynchronous Python client for CentriConnect/MyPropane API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network calls, shell execution, obfuscation, and credential handling. However, incomplete author metadata and a potentially new or inactive account increase suspicion.

  • Incomplete author details and potentially new/inactive account
  • Normal HTTP(S) request patterns
Per-check LLM notes
  • Network: The detected network call patterns indicate normal HTTP(S) requests likely for API interaction or service communication.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's details are incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_centriconnect.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1819 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 14 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 23 commits in gresrun/aiocentriconnect
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • e(aresponses) async with aiohttp.ClientSession() as session: centriconnect = CentriConnect(
  • ue, ) async with aiohttp.ClientSession() as session: centriconnect = CentriConnect(
  • g=True, ) async with aiohttp.ClientSession() as session: centriconnect = CentriConnect(
✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository gresrun/aiocentriconnect 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 aiocentriconnect 
Your task is to develop a small but powerful utility application using the 'aiocentriconnect' Python package. This application will serve as a bridge between the user and CentriConnect/MyPropane services, enabling users to manage their propane tanks more efficiently. The app will have several key functionalities, all leveraging the asynchronous capabilities of 'aiocentriconnect' to provide real-time data updates and smooth performance.

### Project Overview:
- **Name:** PropaneTankManager
- **Purpose:** To monitor and manage propane tank levels and orders through the CentriConnect/MyPropane API.
- **Features:**
  - Real-time tank level monitoring
  - Automatic low-level alerts
  - Tank order management
  - Historical usage analysis
  - User account management

### Detailed Steps:
1. **Setup Environment**: Install Python and the necessary libraries including 'aiocentriconnect'. Ensure you have access to a CentriConnect/MyPropane API key for testing purposes.
2. **Authentication Module**: Implement a secure authentication mechanism allowing users to log in and manage their accounts. Utilize 'aiocentriconnect' to authenticate and retrieve user-specific information.
3. **Real-Time Monitoring**: Use 'aiocentriconnect' to fetch current propane tank levels from the CentriConnect/MyPropane service. Display this information in a user-friendly manner, updating it every few minutes to reflect real-time changes.
4. **Alert System**: Develop an alert system that triggers notifications when tank levels drop below a certain threshold. These alerts should be customizable by the user.
5. **Order Management**: Allow users to place new orders directly through the application. Ensure the process is seamless and integrates smoothly with CentriConnect/MyPropane's ordering system.
6. **Historical Data Analysis**: Provide users with tools to analyze historical usage patterns. This could include graphs and charts showing past usage trends over time.
7. **User Interface**: Design a clean and intuitive UI for easy navigation. Consider both command-line and graphical interfaces depending on your target audience.
8. **Testing & Deployment**: Thoroughly test the application to ensure reliability and security. Deploy the application so it can be accessed by end-users.

### How 'aiocentriconnect' is Utilized:
- For authenticating users and fetching personal data securely.
- For real-time updates on tank levels without overwhelming server resources due to its asynchronous nature.
- For placing orders and managing tank statuses efficiently.
- For accessing historical data for analysis purposes.

By following these steps and utilizing 'aiocentriconnect', you'll create a valuable tool that helps propane tank owners stay informed and in control of their fuel supply.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!