aind-smartsheet-service-async-client

v0.3.3 safe
3.0
Low Risk

aind-smartsheet-service

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across multiple categories including network, shell, obfuscation, and credential handling. While metadata suggests minimal maintenance efforts, there are no indications of malicious activity or supply-chain attacks.

  • Low network risk due to expected async client behavior
  • Minimal signs of maintenance does not imply malicious intent
Per-check LLM notes
  • Network: The detected network pattern is expected for an async client as it uses aiohttp for making HTTP requests.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low maintenance and effort, but there are no clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • 9 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

  • 28 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-smartsheet-service-async-client 
Develop a time-tracking mini-application that integrates with Smartsheet using the 'aind-smartsheet-service-async-client' package. This application will allow users to log their daily work hours, view their weekly summary of hours worked, and export this data into a CSV file for record-keeping purposes. The application should be designed to handle asynchronous operations efficiently due to its integration with the Smartsheet API.

### Features:
1. **User Authentication**: Implement user authentication to ensure only authorized users can access and modify their time logs.
2. **Daily Time Log Entry**: Users should be able to enter the number of hours they worked each day, along with a brief description of tasks completed.
3. **Weekly Summary View**: Provide a feature where users can view a summary of their work hours for the week, including total hours worked and average daily hours.
4. **CSV Export**: Allow users to export their weekly time logs into a CSV file for easy sharing or archiving.
5. **Asynchronous Operations**: Ensure all interactions with the Smartsheet API are handled asynchronously to improve application performance and responsiveness.
6. **Error Handling**: Implement robust error handling to manage potential issues such as network errors, API rate limits, and incorrect input from users.
7. **User Interface**: Design a simple and intuitive command-line interface (CLI) for ease of use.

### Utilization of 'aind-smartsheet-service-async-client':
- **Setup**: Begin by installing the 'aind-smartsheet-service-async-client' package using pip. Configure your Smartsheet API credentials securely within the application.
- **Data Synchronization**: Use the package to synchronize user-entered time logs with a designated Smartsheet sheet in real-time.
- **API Calls**: Leverage the async capabilities of the package to make API calls for adding new rows, updating existing ones, and fetching data for weekly summaries.
- **Export Functionality**: Utilize the package to fetch the necessary data from Smartsheet before exporting it into a CSV file.

This project aims to demonstrate the practical application of the 'aind-smartsheet-service-async-client' package in building a useful, real-world tool for managing personal or team time tracking efficiently.

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