aind-metadata-service-async-client

v2.7.2 safe
3.0
Low Risk

aind-metadata-service

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of risk with no detected malicious activities, shell executions, obfuscations, or credential theft attempts. The network and metadata risks are low, indicating it is likely safe to use.

  • Low network and metadata risk
  • No evidence of malicious behavior
Per-check LLM notes
  • Network: The use of aiohttp.ClientSession with a limited connection pool is typical for making asynchronous HTTP requests and does not inherently suggest malicious activity.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or sensitive information being stolen.
  • Metadata: The package shows some signs of low maintenance and potential lack of community involvement, but there are no clear indications of malicious intent.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • 7 test file(s) detected (e.g. test_default_api.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 22 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • self.pool_manager = aiohttp.ClientSession( connector=aiohttp.TCPConnector(limit=self.m
✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: openapitools.org

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aind-metadata-service-async-client 
Your task is to create a mini-application using the 'aind-metadata-service-async-client' Python package. This package provides asynchronous client capabilities to interact with a metadata service, which is useful for managing and retrieving metadata in various contexts such as data management systems, research projects, or any application where tracking metadata is essential.

### Project Goal:
Build a tool called 'Metadata Explorer' that allows users to explore and manage metadata asynchronously. This application should enable users to perform operations like fetching metadata, updating metadata entries, and searching through metadata records efficiently.

### Core Features:
1. **Asynchronous Metadata Fetching:** Implement a feature that allows users to fetch metadata records asynchronously. Users should be able to specify criteria such as record ID or specific metadata fields to retrieve.
2. **Metadata Update:** Provide functionality to update existing metadata entries. Users should be able to specify the entry they want to modify along with the new values for specific metadata fields.
3. **Search Functionality:** Enable users to search for metadata records based on different criteria such as tags, dates, or specific field values.
4. **User Interface:** Develop a simple yet intuitive command-line interface (CLI) for interacting with the Metadata Explorer. The CLI should support commands for each of the core functionalities mentioned above.
5. **Error Handling and Logging:** Ensure robust error handling and logging mechanisms are in place to capture and report any issues encountered during the execution of the application.

### How to Utilize 'aind-metadata-service-async-client':
- Use the package to establish an asynchronous connection to the metadata service.
- Leverage the package's methods for fetching, updating, and searching metadata records.
- Handle responses from the metadata service asynchronously to ensure the application remains responsive and efficient.
- Implement appropriate exception handling around API calls to gracefully handle errors and retries if necessary.

### Deliverables:
1. A Python script implementing the Metadata Explorer with the specified features.
2. Documentation detailing how to install dependencies, run the application, and use its features.
3. Sample usage scenarios demonstrating the application's capabilities.
4. Unit tests covering the core functionalities to ensure reliability.

This project will not only provide you with hands-on experience in working with asynchronous programming and API integration but also give you insight into building user-friendly tools for data management tasks.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!