aws-resource-validator-meteringmarketplace

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS meteringmarketplace, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across multiple categories with no network calls, shell executions, obfuscations, or credential harvesting attempts. However, the metadata risk score is elevated due to sparse author details and possibly inactive account, raising some suspicion.

  • Low risk scores in network, shell, obfuscation, and credential areas
  • Elevated metadata risk due to sparse author details
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 commands on the host system.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author details are sparse and the account seems new or inactive, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (336 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aws-resource-validator-meteringmarketplace 
Create a Python-based command-line tool that validates and processes AWS Marketplace Metering Service usage reports using the 'aws-resource-validator-meteringmarketplace' package. This tool will serve as a robust solution for businesses that need to ensure their usage data sent to AWS Marketplace Metering Service is accurate and follows AWS's specifications.

The tool should include the following functionalities:
1. **Input Parsing**: Allow users to input a file containing usage report data in CSV format. The tool should validate this data against AWS's defined schema using the pydantic models provided by the 'aws-resource-validator-meteringmarketplace' package.
2. **Validation Output**: Provide a detailed validation report indicating whether each record in the input file adheres to the AWS Marketplace Metering Service requirements. Highlight any discrepancies or errors found during the validation process.
3. **Error Handling**: Implement error handling to gracefully manage cases where the input file does not meet the expected format or contains invalid data. Offer suggestions on how to correct the issues.
4. **Optional Feature - Data Correction**: As an advanced feature, implement a module that automatically corrects minor errors in the usage report data, such as fixing date formats or correcting product codes, based on common mistakes made by users.
5. **Integration with AWS Services**: If possible, demonstrate how the validated usage report could be directly uploaded to AWS S3 or sent via AWS SQS for further processing, showcasing integration capabilities.

To utilize the 'aws-resource-validator-meteringmarketplace' package effectively, follow these steps:
- Install the package using pip: `pip install aws-resource-validator-meteringmarketplace`
- Import the necessary models from the package to define your data structures.
- Use these models to validate the incoming data against the expected schema, leveraging the power of Pydantic's validation capabilities.
- Handle exceptions and errors gracefully, providing meaningful feedback to the user about what went wrong and how to fix it.

This project aims to streamline the process of preparing and validating usage reports for AWS Marketplace Metering Service, ensuring compliance and reducing the risk of data rejection.

💬 Discussion Feed

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