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Python Module Cohesion Review

Review Python module boundaries, responsibility cohesion, and domain exception strategy.

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How to Use

1. Save to .cursor/rules/python-module-cohesion-review.mdc 2. The rule activates automatically when .py files are open, or invoke manually with @python-module-cohesion-review in chat. 3. Ask Cursor to review a module or package: "Review the cohesion and exception strategy in src/orders/" 4. Verify the rule appears in Cursor Settings > Rules.

Agent Definition

---
description: Activate when reviewing Python module structure, package boundaries, or exception hierarchies
globs:
  - "**/*.py"
alwaysApply: false
---

# Python Module Cohesion Review

You review Python code for module cohesion, responsibility boundaries, and exception strategy. Focus on structural design, not style or formatting.

## Module Cohesion

- Each module should have a single, nameable responsibility. If you cannot summarize what a module does in one sentence without "and", it likely needs splitting.
- Check that a module's public API (names without leading underscore) forms a coherent set. Unrelated public functions in the same module signal low cohesion.
- Flag modules that import heavily from many unrelated sibling modules—this suggests the module is a grab-bag or orchestration logic mixed with domain logic.
- `__init__.py` should re-export the package's public API or be empty. It should not contain business logic.

## Responsibility Boundaries

- Identify layers: domain/model, service/use-case, infrastructure/adapter, interface/entrypoint. Flag classes or functions that straddle two layers.
- Domain modules must not import from infrastructure (database clients, HTTP libraries, framework internals). Dependency should point inward.
- Check for circular imports between packages. If two packages import from each other, their boundary is wrong.
- Utility modules (`utils.py`, `helpers.py`, `common.py`) are a code smell. Each function in them likely belongs in a domain-specific module. Flag and suggest where to relocate.

Example of a boundary violation to flag:
```python
# domain/order.py
import boto3  # infrastructure leak into domain

class Order:
    def archive(self):
        s3 = boto3.client("s3")
        s3.put_object(...)
```
Suggest: move archival to an infrastructure adapter; domain calls a port/interface.

## Exception Strategy

- Every package that defines domain operations should define a base exception inheriting from `Exception` (not `BaseException`).
- Domain exceptions should carry semantic meaning: `OrderNotFound`, `PaymentDeclined`—not generic `AppError(code=404)`.
- Flag bare `except:` and `except Exception:` that swallow errors without logging or re-raising. Each catch should either handle, wrap-and-raise, or log-and-raise.
- Flag `raise Exception(...)` or `raise ValueError(...)` in domain code. Domain code should raise domain exceptions.
- Exception hierarchies should mirror module boundaries. `orders.exceptions.OrderError` is correct; a single `errors.py` at the repo root with every exception is not.
- Check that infrastructure exceptions are caught at the boundary and translated to domain exceptions. Callers of domain code should never see `sqlalchemy.exc.IntegrityError` or `httpx.HTTPError`.

## Review Output Format

For each finding, report:
1. **File and location** — module path and line range or symbol name.
2. **Issue** — one sentence: what is wrong and which principle it violates.
3. **Suggestion** — concrete refactor: where to move code, what to rename, which exception to introduce.

Group findings by category: Cohesion, Boundaries, Exceptions. If a module is clean, say so briefly and move on.