alibabacloud-searchplat20240529

v2.6.0 safe
4.0
Medium Risk

Alibaba Cloud Searchplat (20240529) SDK Library for Python

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with low risks across most categories. The main concern is the potential use of obfuscation, but this alone is insufficient to label it as suspicious or malicious.

  • Low network and shell execution risks
  • Potential obfuscation via dynamic imports
  • No evidence of credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: The use of __import__ to dynamically import the package version suggests potential obfuscation or evasion techniques.
  • Credentials: No clear signs of credential harvesting are present in the provided code snippet.
  • Metadata: The author has only one package, which may indicate a new or less active account, and there is a non-HTTPS link which is insecure but not necessarily indicative of malicious intent.

📦 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 (1199 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
  • 148 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-searchplat20240529 
Develop a comprehensive document search utility that leverages the capabilities of the 'alibabacloud-searchplat20240529' Python package. This utility will enable users to upload documents from their local storage or cloud storage services and then perform advanced searches within these documents using natural language queries. The goal is to provide a user-friendly interface where users can easily manage their documents and conduct powerful searches to retrieve relevant information quickly.

### Core Features:
1. **Document Management**: Allow users to upload various types of documents (PDFs, Word Docs, Excel Sheets, etc.) either directly from their local system or from cloud storage services like Alibaba Cloud Object Storage Service (OSS).
2. **Search Functionality**: Implement a robust search feature that supports keyword searches as well as more complex queries involving Boolean logic, proximity, and wildcards. Users should be able to specify which fields they want to search in (e.g., title, author, content).
3. **User Interface**: Design a simple yet effective web-based UI that allows users to interact with the system intuitively. Include features such as drag-and-drop file uploads, real-time search results display, and document preview functionality.
4. **Security & Privacy**: Ensure that all uploaded documents are securely stored and accessed only by authorized users. Implement encryption for data at rest and in transit.
5. **Integration with Alibaba Cloud Services**: Utilize the 'alibabacloud-searchplat20240529' package to integrate seamlessly with Alibaba Cloud's Search Plat service, enabling efficient indexing and querying of large document collections.

### Implementation Steps:
1. **Setup Development Environment**: Install necessary libraries including 'alibabacloud-searchplat20240529', Flask (for web framework), and other dependencies required for handling file uploads and cloud storage interactions.
2. **API Configuration**: Configure your application to use Alibaba Cloud's Search Plat API. This includes setting up credentials, specifying the region, and defining the index configurations.
3. **Backend Development**: Develop the backend logic to handle document uploads, indexing, and search operations. Use the 'alibabacloud-searchplat20240529' package to facilitate communication with the Search Plat service.
4. **Frontend Development**: Build a responsive frontend using HTML/CSS/JavaScript that provides a seamless user experience. Focus on usability and accessibility.
5. **Testing & Deployment**: Conduct thorough testing to ensure reliability and performance. Deploy the application on a cloud platform such as Alibaba Cloud ECS or Serverless Application Engine (SAE).
6. **Documentation & Support**: Provide comprehensive documentation for both end-users and developers, detailing how to use the application and troubleshoot common issues.

💬 Discussion Feed

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