alibabacloud-rocketmq20220801

v5.0.8 safe
3.0
Low Risk

Alibaba Cloud RocketMQ (20220801) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears legitimate and secure, with low risks across all categories except for obfuscation, where the use of dynamic imports was noted as unusual.

  • Low risk scores in all categories.
  • Unusual use of __import__ for dynamic loading.
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.
  • Obfuscation: The use of __import__ to dynamically load the package version is unusual but not necessarily malicious; it could be for packaging purposes.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account. However, there are no clear signs of typosquatting or suspicious links.

📦 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
  • 96 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-rocketmq20220801 
Create a real-time stock market alert system using the 'alibabacloud-rocketmq20220801' Python package. This application will fetch live stock prices from a public API, process them, and use Alibaba Cloud RocketMQ to send alerts via email or SMS when certain conditions are met (e.g., price drop below a threshold). The application should also have a web interface for users to set up their alerts and monitor their stocks in real-time. Here’s how you can approach building this mini-app:

1. **Set Up Your Environment**: Install necessary libraries including 'alibabacloud-rocketmq20220801', requests for fetching data, and Flask for the web interface.
2. **Configure RocketMQ**: Use the 'alibabacloud-rocketmq20220801' package to configure your RocketMQ client. Set up topics and consumers for handling different types of alerts.
3. **Fetch Stock Data**: Write a function to periodically fetch live stock prices from a public API such as Alpha Vantage or IEX Cloud.
4. **Process Data**: Implement logic to compare current stock prices against user-defined thresholds. If conditions are met, prepare a message to be sent via RocketMQ.
5. **Send Alerts**: Utilize RocketMQ to publish these messages. Ensure that your consumers are set up to receive these messages and trigger actions like sending emails or SMS based on the content of the message.
6. **Web Interface**: Develop a simple web interface using Flask where users can log in, view their stocks, set up alert rules, and see notifications about triggered alerts.
7. **User Authentication**: Integrate basic authentication for user accounts to ensure only authorized users can set up and manage alerts.
8. **Testing and Deployment**: Test your application thoroughly to ensure all components work as expected. Deploy the application on a cloud platform like Alibaba Cloud ECS.

This project leverages the power of RocketMQ for reliable message delivery and real-time processing, making it a practical example of how to integrate cloud services into a Python application.