appfx-cosmosdb

v0.1.2 suspicious
4.0
Medium Risk

Python helpers for Azure Cosmos DB SQL and MongoDB APIs.

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its metadata suggesting it may be new or poorly maintained. However, there are no immediate signs of malicious activity.

  • Metadata risk indicates potential maintenance issues.
  • No direct evidence of malicious activities.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no suspicious system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being new or poorly maintained, which may indicate potential risk.

πŸ“¦ Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present β€” 10 test file(s) found

  • Test runner config found: pyproject.toml
  • 10 test file(s) detected (e.g. test_base_models.py)
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6753 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

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 76 type-annotated function signatures detected in source
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

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: outlook.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with appfx-cosmosdb
Create a simple inventory management system using Python that leverages the 'appfx-cosmosdb' package for data storage and retrieval. This application will help users manage their inventory by adding new items, updating item details, deleting items, and listing all items. Here’s how you can structure your project:

1. **Setup**: Start by installing the necessary packages including 'appfx-cosmosdb'. Ensure you have an Azure Cosmos DB account set up with both SQL and MongoDB APIs enabled.
2. **Database Initialization**: Use 'appfx-cosmosdb' to connect to your Cosmos DB instance. Create collections for storing different types of inventory items if necessary.
3. **User Interface**: Develop a command-line interface (CLI) for users to interact with the inventory management system. Include options to add, update, delete, and list items.
4. **Adding Items**: Implement functionality to add new items to the inventory. Each item should include fields such as ID, name, description, quantity, and price.
5. **Updating Items**: Allow users to modify existing items in the inventory. Users should be able to change any field except the ID.
6. **Deleting Items**: Provide a way for users to remove items from the inventory. Ensure that once deleted, items cannot be recovered through the application.
7. **Listing Items**: Create a feature that lists all items currently in the inventory. Optionally, allow sorting by name, quantity, or price.
8. **Error Handling**: Implement robust error handling to ensure the application gracefully handles incorrect inputs or database issues.
9. **Testing**: Write tests to validate the functionality of each component of the application.

This project aims to demonstrate the capabilities of the 'appfx-cosmosdb' package while building a practical, real-world application.

πŸ’¬ Discussion Feed

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