amsterdam-schema-tools

v9.8.2 safe
4.0
Medium Risk

Tools to work with Amsterdam Schema.

🤖 AI Analysis

Final verdict: SAFE

The package amsterdam-schema-tools has a low risk score due to minimal risks identified across all categories. The potential shell execution for Git operations is noted but considered within normal use cases.

  • Network calls appear to be for expected API interactions.
  • Shell risk due to Git operations, but no signs of misuse.
Per-check LLM notes
  • Network: The network calls seem to be part of normal API interaction and data retrieval processes.
  • Shell: The shell execution patterns indicate the package may perform Git operations which could be legitimate for schema management but also pose a risk if not properly controlled.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
  • Test runner config found: setup.cfg
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7465 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 163 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in amsterdam/schema-tools
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • else: response = requests.get(location, timeout=60) response.raise_for_status()
  • d={ident}" response = requests.post(url, headers=headers, json=ds, timeout=60) logger.de
  • reate" response = requests.post(url, headers=headers, json=ds, timeout=60) logge
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • url"]).parent subprocess.run( # noqa: S603 ["git", "clone", schemas_
  • ied git reference.""" subprocess.run( # noqa: S603 ["git", "checkout", version_ref],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: amsterdam.nl

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository amsterdam/schema-tools appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Team Data Diensten, van het Dataplatform onder de Directie Digitale Voorzieningen (Gemeente Amsterdam)" 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 amsterdam-schema-tools 
Create a Python-based mini-application that leverages the 'amsterdam-schema-tools' package to manage and validate data according to the Amsterdam Schema standard. This tool will be particularly useful for organizations that deal with structured data in compliance with Amsterdam Schema standards. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Start by setting up your Python environment. Ensure you have Python installed and create a virtual environment for this project. Install necessary packages including 'amsterdam-schema-tools'.

2. **Application Structure**: Define the structure of your application. It should include modules for data input, validation using Amsterdam Schema, and output. Additionally, consider adding a logging module for tracking operations.

3. **Data Input Module**: Develop a function that allows users to input data. This could be through command-line arguments or a simple GUI if time permits. Ensure the data format matches the expected Amsterdam Schema structure.

4. **Validation Module**: Use 'amsterdam-schema-tools' to validate the input data against the Amsterdam Schema rules. Implement functions that check for completeness, consistency, and conformity to the schema. Display any errors or warnings found during validation.

5. **Output Module**: If the data passes validation, the application should output a confirmation message. Optionally, it could also generate a report detailing all checks performed and results obtained.

6. **Additional Features**: Consider adding extra functionalities such as:
   - A feature to automatically correct minor issues detected during validation, if possible.
   - An option to save validated data into a file or database.
   - Support for multiple schemas within Amsterdam Schema framework.

7. **Documentation**: Write clear documentation explaining how to use the application, including setup instructions and usage examples.

8. **Testing**: Test your application thoroughly to ensure it works correctly under various scenarios, especially edge cases.

By following these steps, you'll develop a robust mini-application that not only validates data against Amsterdam Schema but also provides valuable feedback to improve data quality.

💬 Discussion Feed

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