pyclassparser 0.8.4

Parse Python classes and attributes from a string of Python code.

PyClassParser

PyClassParser is a Python library designed to parse Python class definitions and extract class attributes. Parsing is backed by the standard-library ast module, so it is robust against blank lines, comments, docstrings, methods, nested classes and default values that contain colons. It uses the attrs library for defining the result objects and ensures type safety with attrs-strict.

Features

• Parses Python class definitions to extract class names and their attributes.
• Uses the standard-library ast module, so the input must be syntactically valid Python (a SyntaxError is raised otherwise).
• Uses attrs for the result objects and attrs-strict for type validation.
• Captures each attribute's name (attr_value), annotation (attr_type) and default value (default_value) when present.
• Rebuilds a clean, always-valid reconstruction of the imports and class stubs.

Installation with UV:

uv add pyclassparser

Usage

Here's how you can use PyClassParser to parse Python class definitions:

Example Code

Create a Python script, for example example.py:

from pyclassparser import ClassParser

code = """
class MyClass:
    attr1: int
    attr2: str = "default"

class AnotherClass:
    attr3: float
"""
parser = ClassParser(code=code)
print(parser.output)
print(parser.class_data_dict)

Example Output

Running the above script should give you the parsed output of class definitions:

class MyClass:
    attr1: int
    attr2: str = 'default'

class AnotherClass:
    attr3: float

{'MyClass': [ClassATTR(attr_value='attr1', attr_type='int', default_value=None),
             ClassATTR(attr_value='attr2', attr_type='str', default_value="'default'")],
 'AnotherClass': [ClassATTR(attr_value='attr3', attr_type='float', default_value=None)]}

Note: parser.parsed_code is an alias of parser.output. Because the code is re-emitted from the AST, string literals are normalized (e.g. "default" becomes 'default').

What gets parsed

• Only top-level classes are reported; nested classes are ignored.
• An attribute is either an annotated assignment (attr: type), where attr_type is the annotation, or a plain assignment (attr = value), where attr_type is None. default_value holds the default as it appears in the source, or None when there is no default.
• Docstrings, comments, methods and nested classes are ignored.
• Class-level decorators and PEP 695 type parameters (class Box[T]:) are kept in parsed_code.
• A duplicate top-level class name raises ValueError.

Running the tests

uv sync
uv run pytest
uv run mypy pyclassparser

Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss your ideas.