AI Analysis
The package shows no signs of malicious activity, with low risks across all assessed categories. However, the maintainer's single package history slightly increases suspicion, but not enough to classify it as suspicious or malicious.
- No network, shell, obfuscation, or credential risks detected.
- Maintainer has only one package, suggesting a potential new or less active account.
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 intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The maintainer has only one package, which may indicate a new or less active account.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (544 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
104 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 31 commits in Mayuri-Chan/async_pymongoSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
Repository Mayuri-Chan/async_pymongo appears legitimate
1 maintainer concern(s) found
Author "Adek Maulana" 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 real-time chat application using Python that leverages the 'async-pymongo' package for asynchronous MongoDB operations. This application will serve as a basic messaging platform where users can register, log in, create chat rooms, send messages, and receive messages in real-time. The application will utilize websockets for real-time communication between the server and clients. ### Features: 1. **User Registration & Login:** Users should be able to register with a unique username and password. Passwords should be stored securely using hashing. 2. **Chat Rooms:** Users can create public or private chat rooms. Each room has a unique identifier. 3. **Real-Time Messaging:** When a user sends a message, it should be immediately visible to all other connected users in the same chat room. 4. **Message History:** Upon joining a chat room, a user should see the last 50 messages sent in that room. 5. **User Profiles:** Each user has a profile page displaying their username, joined date, and number of chat rooms they've created. 6. **Room Management:** Users who created a chat room can manage it by adding/removing members or deleting the room. 7. **Notifications:** Users should receive notifications when someone sends them a direct message or when they are added to a new chat room. ### Utilization of 'async-pymongo': - **Database Operations:** Use 'async-pymongo' to handle all database interactions asynchronously. This includes storing/retrieving user information, chat room details, and messages. - **Real-Time Updates:** Implement asynchronous methods to push updates to clients when new messages are received or when chat room membership changes. - **Concurrency:** Leverage async/await syntax provided by 'async-pymongo' to ensure smooth operation even under high concurrency scenarios. ### Implementation Steps: 1. Set up a Python environment with necessary packages including 'async-pymongo', 'aiohttp' for websocket communication, and 'bcrypt' for password hashing. 2. Design the database schema for users, chat rooms, and messages. 3. Implement registration and login functionalities using secure password storage techniques. 4. Develop the chat room creation and management logic. 5. Implement the real-time messaging system using websockets. 6. Add functionality to display message history and update clients in real-time about any changes in chat rooms. 7. Create user profiles and implement notifications. 8. Test the application thoroughly, ensuring it handles edge cases like multiple simultaneous connections and large amounts of data. 9. Deploy the application on a cloud service provider or local server. This project will showcase your ability to work with asynchronous programming in Python, manage real-time applications, and effectively use MongoDB with 'async-pymongo'.
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