alibabacloud-appflow20230904

v1.2.0 safe
4.0
Medium Risk

Alibaba Cloud appflow (20230904) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with low risks across multiple categories. While there is an unusual level of obfuscation, it does not alone suggest malicious intent.

  • No network or shell execution risks detected.
  • Low credential and metadata risks.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires them for functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: The observed obfuscation pattern is unusual but may be part of a complex internal SDK structure.
  • Credentials: No clear signs of credential harvesting; the package appears to handle credentials securely or not at all.
  • Metadata: The author has only one package on PyPI which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (4.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1187 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
  • 124 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aliyun/alibabacloud-python-sdk
  • Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • bacloud-python-sdk" VERSION = __import__(PACKAGE).__version__ REQUIRES = [ "darabonba-core>=1.0.0, <2.0.0
✓ 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: alibabacloud.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
✓ Git Repository History

Repository aliyun/alibabacloud-python-sdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alibaba Cloud SDK" 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 alibabacloud-appflow20230904 
Create a mini-application named 'DataFlowMonitor' using the 'alibabacloud-appflow20230904' Python package. This application will serve as a real-time data flow monitoring tool for users managing their Alibaba Cloud AppFlow resources. It will allow users to visualize the status of their data flows, including active flows, error rates, and throughput metrics. Additionally, it will provide alerts for critical issues such as high error rates or stalled flows.

Steps to Build the Application:
1. Set up the environment by installing the 'alibabacloud-appflow20230904' package and any necessary dependencies.
2. Implement authentication and authorization mechanisms to securely connect to the Alibaba Cloud AppFlow API.
3. Develop a function to fetch data flow details from the AppFlow service, including active flows, their status, error rates, and throughput.
4. Create a dashboard that visualizes the fetched data using a library like Plotly or Matplotlib.
5. Implement alerting functionality that sends notifications via email or SMS when certain thresholds are exceeded.
6. Add a feature to trigger manual flow execution or re-execution in case of errors.
7. Ensure the application logs all activities for auditing purposes.
8. Test the application thoroughly with different scenarios to ensure reliability and accuracy.

Suggested Features:
- Real-time dashboard showing active flows, error rates, and throughput.
- Historical data visualization to track trends over time.
- Customizable alert thresholds for various metrics.
- Manual execution triggers for specific flows.
- Detailed logs of all user interactions and system events.
- Support for multiple regions and accounts.

How 'alibabacloud-appflow20230904' Package is Utilized:
- Use the package to authenticate and authorize access to the AppFlow API.
- Leverage its functions to retrieve data flow information, including statuses, error rates, and throughput metrics.
- Integrate with the package's event handling capabilities to implement real-time monitoring and alerting.