azure-mgmt-alertsmanagement

v1.0.1 safe
3.0
Low Risk

Microsoft Azure Alertsmanagement Management Client Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on low risks across all categories except metadata, where incomplete author details raise minor concerns.

  • Low network and shell risk
  • No signs of malicious obfuscation or credential harvesting
  • Incomplete author details and potentially inactive account
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a management SDK package.
  • Shell: No shell execution suggests the package is not designed to execute system commands.
  • Obfuscation: The observed pattern is a common method for extending module search paths and does not indicate malicious obfuscation.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The author details are incomplete and the account seems new or inactive, raising some concerns but not definitive evidence of malicious intent.

📦 Package Quality Overall: Medium (6.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (6778 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

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

Active multi-contributor project

  • 35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-python
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =
  • ) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
✓ 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: microsoft.com> license-expression: mit

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Azure/azure-sdk-for-python 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 azure-mgmt-alertsmanagement 
Your task is to develop a small but powerful application that leverages the 'azure-mgmt-alertsmanagement' Python package to manage and monitor alerts across various Azure resources. This tool will allow users to interactively create, update, delete, and retrieve alert rules from their Azure subscriptions. Here’s a detailed breakdown of what your application should achieve:

1. **User Authentication**: Implement Azure Active Directory (AAD) authentication to securely connect to Azure services. Use environment variables or a configuration file to store necessary credentials such as tenant ID, client ID, client secret, and subscription ID.
2. **Alert Rule Management**: Enable users to perform CRUD (Create, Read, Update, Delete) operations on alert rules. Specifically, the application should allow:
   - Creating new alert rules based on specific criteria (e.g., metric threshold).
   - Retrieving details of existing alert rules.
   - Updating existing alert rules (e.g., changing threshold values).
   - Deleting unwanted alert rules.
3. **Customizable Alert Rules**: Allow users to define alert rules based on custom metrics or activity logs. Users should be able to specify conditions under which an alert should trigger, such as when CPU usage exceeds a certain percentage over a defined period.
4. **Real-Time Monitoring**: Integrate real-time monitoring capabilities to notify users about the status of their alert rules and any triggered alerts. Consider using webhooks or email notifications to inform users about rule statuses.
5. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Ensure that the CLI is intuitive and user-friendly, providing clear instructions and feedback at each step.
6. **Documentation and Testing**: Provide comprehensive documentation for setting up and using the application. Include unit tests to ensure the reliability and robustness of the application.

**Utilization of 'azure-mgmt-alertsmanagement' Package**: This package provides essential functions for managing alert rules within Azure. You will use it to authenticate, list, create, update, and delete alert rules. For instance, you might use `AlertRulesOperations.list_by_resource_group` to fetch all alert rules associated with a specific resource group, or `AlertRulesOperations.create_or_update` to create a new alert rule.

This project not only enhances your understanding of Azure's alert management system but also improves your skills in developing secure, interactive applications using Python.

💬 Discussion Feed

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