alibabacloud-cloudapi20160714

v4.9.0 safe
4.0
Medium Risk

Alibaba Cloud CloudAPI (20160714) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories except for a moderately unusual obfuscation pattern. However, there is no clear evidence of malicious activity.

  • No network or shell risks detected
  • Moderately unusual obfuscation pattern
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: The observed obfuscation pattern is unusual but not necessarily indicative of malicious intent without further context.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The author has only one package on PyPI, which might indicate a new or less active account, but no other suspicious activities were detected.

📦 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 (1191 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
  • 142 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-cloudapi20160714 
Develop a weather forecast mini-app that leverages the Alibaba Cloud CloudAPI service to provide real-time weather updates for any location around the world. This app will use the 'alibabacloud-cloudapi20160714' Python package to interact with Alibaba Cloud's API Gateway service, which can proxy requests to third-party weather APIs such as OpenWeatherMap or AccuWeather. Here's a detailed breakdown of the project requirements:

1. **Project Setup**: Set up a virtual environment for your Python project and install the necessary packages including 'alibabacloud-cloudapi20160714'. Obtain API keys and credentials from Alibaba Cloud and the chosen weather provider.

2. **API Configuration**: Use the 'alibabacloud-cloudapi20160714' package to configure your API Gateway settings. This includes setting up endpoints, specifying the backend URL of the weather API, and defining request parameters.

3. **User Interface**: Create a simple command-line interface (CLI) where users can input their location to receive weather forecasts. Optionally, develop a basic web UI using Flask or Django for a more interactive experience.

4. **Fetching Data**: Implement functions that use the configured API Gateway to fetch weather data based on user input. Parse the response to extract relevant information like temperature, humidity, wind speed, and forecast details.

5. **Displaying Information**: Display the fetched weather data in a user-friendly format. For the CLI version, print out the information directly. In the web UI version, display it dynamically on the webpage.

6. **Error Handling**: Include robust error handling to manage scenarios where the API might return errors or the user inputs incorrect data.

7. **Additional Features** (Optional): Consider adding features like historical weather data retrieval, comparison of current conditions with past records, or integration with a map service to show weather patterns geographically.

8. **Testing and Deployment**: Thoroughly test the application to ensure it works as expected under various conditions. Deploy the CLI version locally or the web version on a platform like Heroku or AWS for others to access.

By completing this project, you'll gain hands-on experience with Alibaba Cloud's API Gateway and learn how to integrate external services into your applications efficiently.