ast-pattern-engine

v1.0.2 suspicious
4.0
Medium Risk

A library for regex-inspired fine-grained AST pattern matching and replacing

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk for network and shell activities, but the metadata suggests potential issues with incomplete author information and possibly inactive or new accounts.

  • Incomplete author information
  • Possibly new or inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
  • Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.4/10)

✦ High Test Suite 9.0

Test suite present — 17 test file(s) found

  • Test runner config found: pyproject.toml
  • 17 test file(s) detected (e.g. test_engine.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3234 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

  • 57 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 28 commits in 80sVectorz/ast_pattern_engine
  • Two distinct contributors found

🔬 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: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository 80sVectorz/ast_pattern_engine 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 ast-pattern-engine 
Develop a Python-based code refactoring tool named 'CodeTweaker' that leverages the 'ast-pattern-engine' package for advanced syntax tree manipulation. This tool will allow developers to specify complex patterns within Python code and apply transformations to those patterns automatically, streamlining common refactoring tasks.

### Project Goals:
- **Pattern Matching:** Define patterns using regex-like syntax to identify specific constructs in Python code, such as function definitions, variable assignments, or class declarations.
- **Transformation Rules:** Implement rules for transforming matched patterns into new code constructs, enabling actions like renaming variables, modifying function signatures, or refactoring loops.
- **Interactive Mode:** Provide an interactive mode where users can input Python code snippets and see real-time transformations based on specified patterns and rules.
- **Batch Processing:** Allow users to process entire Python files or directories of files, applying the same set of transformation rules across multiple files.
- **Logging and Reporting:** Maintain logs of all changes made during the refactoring process and generate reports summarizing the transformations applied.

### Utilization of 'ast-pattern-engine':
- Use the 'ast-pattern-engine' package to parse Python source code into abstract syntax trees (ASTs).
- Apply its regex-inspired pattern matching capabilities to find instances of user-defined patterns within these ASTs.
- Utilize the replacement functionality provided by 'ast-pattern-engine' to apply transformation rules to the identified patterns.
- Reconstruct modified ASTs back into Python code, ensuring syntactic correctness and semantic consistency.

### Example Workflow:
1. User inputs a Python code snippet or selects a file/directory.
2. CodeTweaker parses the input(s) into ASTs.
3. Users define patterns and transformation rules via an intuitive interface.
4. CodeTweaker applies these rules to the ASTs, performing the necessary refactoring.
5. Modified code is outputted, either as a new file or displayed interactively.
6. Logs and reports are generated to document the refactoring process.

### Deliverables:
- A Python script implementing the 'CodeTweaker' tool.
- Documentation detailing how to use the tool, including examples of pattern definitions and transformation rules.
- Sample Python code files before and after refactoring to demonstrate the tool's capabilities.

This project aims to showcase the power of 'ast-pattern-engine' in automating tedious code refactoring tasks, making it easier for developers to maintain large codebases.

💬 Discussion Feed

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