modguard 0.7.1

A Python tool to maintain clean dependencies across python modules.

modguard

A Python tool to enforce a modular, decoupled package architecture.

Docs

What is modguard?

Modguard enables you to define the public interface for a given module. Marking a package with a Boundary makes all of its internals private by default, exposing only the members marked with public.

This enforces an architecture of decoupled modules, and ensures the communication between domains only happens through their defined public interfaces.

Modguard is incredibly lightweight, and has no impact on the runtime of your code. Instead, its checks are performed through a static analysis CLI tool.

Installation

pip install modguard

Usage

Add a Boundary to the __init__.py of the module you're creating an interface for.

# project/core/__init__.py
import modguard

modguard.Boundary()

Add the public decorator to any callable in the module that should be exported. You can also export individual members by passing them to public as function call arguments.

# project/core/main.py
import modguard

# Adding the decorator here signifies this function is public
@modguard.public
def public_function(user_id: int) -> str:
    ...

# This function will be considered private
def private_function():
    ...

PUBLIC_CONSTANT = "Hello world"
# Allow export of PUBLIC_CONSTANT from this module
public(PUBLIC_CONSTANT)

Modguard will now flag any incorrect dependencies between modules.

# From the root of your python project (in this example, `project/`)
> modguard check .
❌ ./utils/helpers.py: Import "core.main.private_function" in ./utils/helpers.py is blocked by boundary "core.main"

You can also view your entire project's set of dependencies and public interfaces. Boundaries will be marked with a [B], and public members will be marked with a [P]. Note that a module can be both public and a boundary.

> modguard show .
example
  [B]core
    main
      [P]public_function
      [P]PUBLIC_CONSTANT
  [P][B]utils
    helpers

If you want to utilize this data for other purposes, run modguard show --write . This will persist the data about your project in a modguard.yaml file.

Setup

Modguard also comes bundled with a command to set up and define your initial boundaries.

modguard init .

By running modguard init from the root of your python project, modguard will inspect and declare boundaries on each python package within your project. Additionally, each accessed member of that package will be decorated with public.

This will automatically create boundaries and define your public interface for each package within your project, and instantly get your project to a passing state for modguard .

Advanced

Modguard also supports specific allow lists within public. The allowlist parameter accepts a list of strings and regex expressions.

@modguard.public(allowlist=["utils.helpers", r"core\.project\.*"])
def public_function(user_id: int) -> str:
    ...

PUBLIC_CONSTANT = "Hello world"
public(PUBLIC_CONSTANT, allowlist=["utils.helpers", r"core\.project\.*"])

This will allow for public_function and PUBLIC_CONSTANT to be imported and used in utils.helpers and any matching regex to core\.project\.*, but restrict its usage elsewhere.

Alternatively, you can mark an import with the modguard-ignore comment:

# modguard-ignore
from core.main import private_function

This will stop modguard from flagging this import as a boundary violation.

Given that python allows for dynamic importing at runtime, modguard will fail if a whole module is imported without being declared public.

from core import main # contains public and private members

# From the root of your project
> modguard .
❌ ./utils/helpers.py: Import "core.main" in ./utils/helpers.py is blocked by boundary "core.main"

If you expect to be able to import the entire contents of your module, you can declare an entire module as public to avoid this:

# core/main.py
import modguard

modguard.public()

...

This syntax also supports the allowlist parameter.

Details

Modguard works by analyzing the abstract syntax tree (AST) of your codebase. The Boundary class and @public decorator have no runtime impact, and are detected by modguard statically.

Boundary violations are detected at the import layer. This means that specific nonstandard custom syntax to access modules/submodules such as getattr or dynamically generated namespaces will not be caught by modguard.

PyPi Package

License

GNU GPLv3