alibabacloud-vod20170321

v3.10.3 safe
2.0
Low Risk

Alibaba Cloud ApsaraVideo for VOD (20170321) SDK Library for Python

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to be legitimate and secure, with low risk scores across all categories. There are no signs of malicious activity or supply-chain attacks.

  • No network calls detected.
  • No shell execution patterns found.
  • Maintainer has only one package.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Metadata: The maintainer has only one package, indicating a new or less active account, but no other suspicious activities were flagged.

πŸ“¦ Package Quality Overall: Low (4.4/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1171 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 122 type-annotated function signatures detected in source
β—ˆ 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)

πŸ”¬ Heuristic Checks

βœ“ 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
βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ 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
βœ“ 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)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with alibabacloud-vod20170321
Develop a media management dashboard using the Alibaba Cloud ApsaraVideo for VOD (20170321) SDK Library for Python. This application will serve as a user-friendly interface for managing video content stored on Alibaba Cloud's Video On Demand (VOD) service. Users will be able to upload videos, manage their metadata, monitor video processing status, and delete videos from the cloud storage. Additionally, the app should provide analytics such as view count and popularity ranking of videos. Here’s a step-by-step guide on how to implement this application:

1. **Setup and Initialization**: Begin by installing the required packages, including `alibabacloud-vod20170321`. Configure your application to use your Alibaba Cloud credentials securely.
2. **User Interface Design**: Design a simple yet effective web interface using a framework like Flask. Ensure it has forms for uploading videos, fields for entering metadata (title, description, tags), and buttons for triggering actions.
3. **Video Upload Functionality**: Implement a feature where users can upload videos directly to Alibaba Cloud VOD via the SDK. Use the `Upload` method provided by the `vod20170321` client to initiate uploads.
4. **Metadata Management**: Allow users to add, edit, and remove metadata associated with their videos. Utilize the SDK methods for updating video information.
5. **Status Monitoring**: Display the current status of video processing (e.g., transcoding, watermarking). Use the `GetVideo` method to fetch and display this information.
6. **Analytics Dashboard**: Integrate basic analytics showing the number of views each video has received and rank videos based on popularity. Fetch this data using appropriate SDK methods and present it visually.
7. **Video Deletion**: Provide functionality for users to delete videos they no longer wish to keep. Use the `DeleteVideo` method to accomplish this.
8. **Security and Error Handling**: Ensure all API calls are made securely and handle any errors gracefully. Include informative messages for users about the status of their operations.
9. **Testing and Deployment**: Test the application thoroughly to ensure all functionalities work as expected. Deploy the application to a server or cloud environment accessible over the internet.

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