aiocamedomotic

v1.10.4 safe
3.0
Low Risk

Async Python library for interacting with CAME Domotic home automation systems. Provides automatic session management and device control.

πŸ€– AI Analysis

Final verdict: SAFE

The package shows no signs of malicious behavior and has minimal risks associated with its usage. The metadata risk is slightly elevated due to the author's limited presence and the inclusion of a non-HTTPS link.

  • No shell execution or obfuscation detected
  • Single package from author with non-HTTPS link
Per-check LLM notes
  • Network: The use of aiohttp for network requests is common and does not inherently indicate malicious activity.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
  • Metadata: The author has only one package and includes a non-HTTPS link, which may indicate a lack of experience or oversight.

πŸ“¦ Package Quality Overall: Medium (6.4/10)

β—ˆ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
β—ˆ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://aiocamedomotic.readthedocs.io/latest/index.html
  • Detailed PyPI description (5430 chars)
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 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 57 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in camedomotic-unofficial/aiocamedomotic
  • Active community β€” 5 or more distinct contributors

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • session = websession or aiohttp.ClientSession() try: auth = await Auth.async_create(
  • e session = websession or aiohttp.ClientSession() try: client_timeout = aiohttp.ClientTimeout(t
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: gmail.com

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
βœ“ Git Repository History

Repository camedomotic-unofficial/aiocamedomotic appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "camedomotic-unofficial" 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 aiocamedomotic
Create a smart home controller application named 'CameSmartHome' using the Python package 'aiocamedomotic'. This application will serve as a bridge between your home automation system and various user-friendly interfaces, allowing users to manage their home devices remotely. Here’s a step-by-step guide on what the application should achieve and how to utilize the 'aiocamedomotic' package effectively:

1. **Setup and Authentication**: Begin by setting up your environment with the necessary dependencies, including 'aiocamedomotic'. Integrate the authentication process where the user inputs their CAME Domotic credentials to establish a secure session.

2. **Device Discovery**: Utilize 'aiocamedomotic' to automatically discover all connected devices within the user's home automation network. Display these devices in a clean, categorized list (e.g., lights, sensors, thermostats).

3. **Real-time Monitoring**: Implement real-time monitoring of each device. Use 'aiocamedomotic' to fetch live data from each device and display it in the application. For example, show the current temperature for a thermostat or the status of a light (on/off).

4. **Control Interface**: Develop a user interface that allows users to control their devices. This includes turning lights on/off, adjusting thermostat settings, etc. Ensure that changes made through the application are reflected immediately on the actual devices via 'aiocamedomotic'.

5. **Scheduling and Automation**: Allow users to set up schedules and automate actions. For instance, they could set a schedule to turn off all lights at midnight or create an automation rule where lights turn on if motion is detected.

6. **Notifications**: Integrate notification capabilities so that users receive alerts based on certain conditions (e.g., if a door sensor is triggered when not expected).

7. **User Profiles and Preferences**: Enable users to create profiles and customize preferences such as default settings for certain devices or preferred units of measurement (Fahrenheit/Celsius).

8. **Security Measures**: Incorporate security measures like encryption for data transmission and secure storage of user credentials.

Throughout development, leverage 'aiocamedomotic' for its automatic session management and robust device control functionalities. This will streamline the process of building a reliable and efficient smart home controller application.