alibabacloud-dataworks-public20240518

v8.6.0 suspicious
4.0
Medium Risk

Alibaba Cloud dataworks-public (20240518) SDK Library for Python

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some characteristics that raise suspicion but does not clearly indicate malicious intent. The obfuscation technique used is unusual and could be indicative of attempts to conceal information.

  • Unusual obfuscation technique used, possibly to hide version or package name.
  • Single package from the author suggests a new or less active account.
Per-check LLM notes
  • Obfuscation: The obfuscation technique used is not typical for legitimate libraries and may indicate an attempt to hide the actual version or package name.
  • Credentials: No clear signs of credential harvesting techniques were detected.
  • Metadata: The author has only one package on PyPI, which could indicate a new or less active account.

📦 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 (1223 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
  • 24 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-dataworks-public20240518 
Your task is to develop a Python-based utility that integrates with Alibaba Cloud DataWorks to manage and monitor workflows within a data pipeline. This utility will serve as a bridge between local development environments and Alibaba Cloud's DataWorks platform, enabling users to programmatically interact with their workflows, nodes, and tasks. Here’s a step-by-step guide on how to build this utility using the 'alibabacloud-dataworks-public20240518' package:

1. **Setup and Authentication**: Begin by setting up your development environment with Python installed. Next, install the 'alibabacloud-dataworks-public20240518' package via pip. Ensure you have the necessary credentials (AccessKey ID and AccessKey Secret) to authenticate with Alibaba Cloud.

2. **Create a Main Functionality Module**: Develop a module named 'dataworks_manager.py'. This module will contain functions to list all workflows, start/stop specific workflows, and retrieve the status of workflow executions. Utilize the 'alibabacloud-dataworks-public20240518' package to make API calls to DataWorks.

3. **User Interface**: Design a simple command-line interface (CLI) for interacting with the utility. Users should be able to run commands like 'list_workflows', 'start_workflow', 'stop_workflow', and 'get_execution_status'. Each command should accept necessary parameters such as workflow IDs or execution IDs.

4. **Error Handling and Logging**: Implement robust error handling to catch and log any issues encountered during API calls. This will help in debugging and maintaining the utility.

5. **Documentation and Testing**: Write comprehensive documentation explaining how to set up the utility, use it effectively, and troubleshoot common issues. Additionally, create a suite of unit tests to ensure the functionality of each feature.

Suggested Features:
- Ability to schedule workflows programmatically.
- Detailed logs of workflow executions.
- Real-time monitoring of workflow statuses.
- Support for multiple Alibaba Cloud accounts through configuration files.

The 'alibabacloud-dataworks-public20240518' package will be crucial in this project, providing the necessary methods to interact with DataWorks APIs. Your goal is to leverage these methods to create a user-friendly tool that simplifies the management of complex data pipelines.