AI Analysis
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.
Package Quality Overall: Medium (6.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://aiocamedomotic.readthedocs.io/latest/index.htmlDetailed PyPI description (5430 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project57 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in camedomotic-unofficial/aiocamedomoticActive community β 5 or more distinct contributors
Heuristic Checks
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
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository camedomotic-unofficial/aiocamedomotic appears legitimate
1 maintainer concern(s) found
Author "camedomotic-unofficial" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
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. Hereβs 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.