python-project-structure · git:20260731.f6add68 · 2026-07-31 · sha256 f06e6cbca426283c
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---
name: python-project-structure
description: Python project organization, module architecture, and public API design.
when_to_use: Setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
user-invocable: false
---
# Python Project Structure & Module Architecture
Design well-organized Python projects with clear module boundaries, explicit public interfaces, and maintainable directory structures. Good organization makes code discoverable and changes predictable.
## Core Concepts
### 1. Module Cohesion
Group related code that changes together. A module should have a single, clear purpose.
### 2. Explicit Interfaces
Define what's public with `__all__`. Everything not listed is an internal implementation detail.
### 3. Flat Hierarchies
Prefer shallow directory structures. Add depth only for genuine sub-domains.
### 4. Consistent Conventions
Apply naming and organization patterns uniformly across the project.
## Quick Start
```
myproject/
|-- src/
| `-- myproject/
| |-- __init__.py
| |-- services/
| |-- models/
| `-- api/
|-- tests/
|-- pyproject.toml
`-- README.md
```
## Fundamental Patterns
### Pattern 1: One Concept Per File
Each file should focus on a single concept or closely related set of functions. Consider splitting when a file:
- Handles multiple unrelated responsibilities
- Grows beyond 300-500 lines (varies by complexity)
- Contains classes that change for different reasons
```python
# Good: Focused files
# user_service.py - User business logic
# user_repository.py - User data access
# user_models.py - User data structures
# Avoid: Kitchen sink files
# user.py - Contains service, repository, models, utilities...
```
### Pattern 2: Explicit Public APIs with `__all__`
Define the public interface for every module. Unlisted members are internal implementation details.
```python
# mypackage/services/__init__.py
from .user_service import UserService
from .order_service import OrderService
from .exceptions import ServiceError, ValidationError
__all__ = [
"UserService",
"OrderService",
"ServiceError",
"ValidationError",
]
# Internal helpers remain private by omission
# from .internal_helpers import _validate_input # Not exported
```
### Pattern 3: Flat Directory Structure
Prefer minimal nesting. Deep hierarchies make imports verbose and navigation difficult.
```
# Preferred: Flat structure
project/
|-- api/
| |-- routes.py
| `-- middleware.py
|-- services/
| |-- user_service.py
| `-- order_service.py
|-- models/
| |-- user.py
| `-- order.py
`-- utils/
`-- validation.py
# Avoid: Deep nesting
project/core/internal/services/impl/user/
```
Add sub-packages only when there's a genuine sub-domain requiring isolation.
### Pattern 4: Test File Organization
Choose one approach and apply it consistently throughout the project.
**Option A: Colocated Tests**
```
src/
|-- user_service.py
|-- test_user_service.py
|-- order_service.py
`-- test_order_service.py
```
Benefits: Tests live next to the code they verify. Easy to see coverage gaps.
**Option B: Parallel Test Directory**
```
src/
|-- services/
| |-- user_service.py
| `-- order_service.py
tests/
|-- services/
| |-- test_user_service.py
| `-- test_order_service.py
```
Benefits: Clean separation between production and test code. Standard for larger projects.
## Advanced Patterns
### Pattern 5: Package Initialization
Use `__init__.py` to provide a clean public interface for package consumers.
```python
# mypackage/__init__.py
"""MyPackage - A library for doing useful things."""
from .core import MainClass, HelperClass
from .exceptions import PackageError, ConfigError
from .config import Settings
__all__ = [
"MainClass",
"HelperClass",
"PackageError",
"ConfigError",
"Settings",
]
__version__ = "1.0.0"
```
Consumers can then import directly from the package:
```python
from mypackage import MainClass, Settings
```
### Pattern 6: Layered Architecture
Organize code by architectural layer for clear separation of concerns.
```
myapp/
|-- api/ # HTTP handlers, request/response
| |-- routes/
| `-- middleware/
|-- services/ # Business logic
|-- repositories/ # Data access
|-- models/ # Domain entities
|-- schemas/ # API schemas (Pydantic)
`-- config/ # Configuration
```
Each layer should only depend on layers below it, never above.
### Pattern 7: Domain-Driven Structure
For complex applications, organize by business domain rather than technical layer.
```
ecommerce/
|-- users/
| |-- models.py
| |-- services.py
| |-- repository.py
| `-- api.py
|-- orders/
| |-- models.py
| |-- services.py
| |-- repository.py
| `-- api.py
`-- shared/
|-- database.py
`-- exceptions.py
```
## File and Module Naming
### Conventions
- Use `snake_case` for all file and module names: `user_repository.py`
- Avoid abbreviations that obscure meaning: `user_repository.py` not `usr_repo.py`
- Match class names to file names: `UserService` in `user_service.py`
### Import Style
Use absolute imports for clarity and reliability:
```python
# Preferred: Absolute imports
from myproject.services import UserService
from myproject.models import User
# Avoid: Relative imports
from ..services import UserService
from . import models
```
Relative imports can break when modules are moved or reorganized.
## Best Practices Summary
1. **Keep files focused** - One concept per file, consider splitting at 300-500 lines (varies by complexity)
2. **Define `__all__` explicitly** - Make public interfaces clear
3. **Prefer flat structures** - Add depth only for genuine sub-domains
4. **Use absolute imports** - More reliable and clearer
5. **Be consistent** - Apply patterns uniformly across the project
6. **Match names to content** - File names should describe their purpose
7. **Separate concerns** - Keep layers distinct and dependencies flowing one direction
8. **Document your structure** - Include a README explaining the organization