auto-schema

v0.0.40 safe
3.0
Low Risk

auto schema for a db

🤖 AI Analysis

Final verdict: SAFE

The package auto-schema v0.0.40 is deemed safe based on the analysis. It does not exhibit any risky behaviors such as making network calls, executing shell commands, or obfuscating code.

  • No network calls detected
  • No shell execution detected
  • No obfuscation patterns found
  • Low credential risk
Per-check LLM notes
  • Network: No network calls detected, which is normal for a schema-related package.
  • Shell: No shell execution detected, which aligns with the expected behavior of a schema processing tool.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, indicating potential unreliability.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. testingutils.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2244 chars)
○ 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

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

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in lolopinto/ent
  • 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: email.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository lolopinto/ent 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 auto-schema 
Create a mini-application called 'SchemaSync' that automatically generates and syncs database schemas based on user-defined Python classes. This tool will be particularly useful for developers who want to maintain their database structure in a more Pythonic way rather than dealing with raw SQL.

Step 1: Define a set of Python classes representing entities you wish to store in your database. Each class should have attributes corresponding to columns in your database tables.

Step 2: Use the 'auto-schema' package to generate the necessary SQL schema definitions based on these Python classes. Ensure that relationships between classes (e.g., one-to-many, many-to-many) are properly reflected in the generated schema.

Step 3: Implement a feature within SchemaSync that can compare the current state of the database schema with the generated schema from your Python classes. If there are discrepancies, SchemaSync should be able to suggest changes to bring the database schema up to date with the Python class definitions.

Suggested Features:
- Support for different types of relationships (one-to-one, one-to-many, many-to-many)
- Ability to handle complex data types such as JSON fields
- A user-friendly interface for viewing and modifying the generated schema before applying it to the database
- Logging and rollback capabilities in case of errors during schema updates

How 'auto-schema' is Utilized:
- 'auto-schema' will be used primarily in Step 2 to parse the Python class definitions and output the corresponding SQL schema. It should also provide methods for comparing existing database schemas against the newly generated ones, which is crucial for the synchronization process.

💬 Discussion Feed

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