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Zhongwei Li
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# Python Code Quality Skill
Ensure Python code follows best practices with automated linting, formatting, and type checking using ruff and mypy.
## When to Use This Skill
Use this skill when:
- User requests code linting or formatting
- User mentions code quality, PEP 8, or style issues
- User wants to fix linting errors
- User asks about type checking
- Code review processes require quality checks
## Core Capabilities
1. **Linting with Ruff**
- Check code for style violations
- Identify potential bugs and code smells
- Enforce PEP 8 compliance
- Auto-fix issues where possible
2. **Code Formatting**
- Format code consistently with ruff
- Organize imports automatically
- Ensure consistent indentation and line length
3. **Type Checking with Mypy**
- Verify type annotations are correct
- Catch type-related bugs before runtime
- Ensure type safety across the codebase
4. **Code Quality Metrics**
- Complexity analysis
- Dead code detection
- Unused import identification
## Context Files
This skill references the following context files in this directory:
- `ruff-configuration.md` - Ruff linting and formatting rules
- `mypy-configuration.md` - Type checking configuration
- `common-issues.md` - Common Python code quality issues and fixes
- `best-practices.md` - Python coding best practices
## Key Tools and Commands
```bash
# Linting
ruff check . # Check for issues
ruff check --fix . # Auto-fix issues
ruff check --watch . # Watch mode
# Formatting
ruff format . # Format all files
ruff format --check . # Check if formatting needed
# Type checking
mypy src # Check types
mypy --strict src # Strict mode
```
## Common Workflows
### Pre-commit Quality Check
```bash
ruff check --fix . && ruff format . && mypy src
```
### CI/CD Pipeline
```bash
ruff check . # Fail if unfixed issues
ruff format --check . # Fail if unformatted
mypy src # Fail on type errors
```
## Expected Outcomes
After using this skill:
- All code follows PEP 8 style guidelines
- Imports are properly organized
- Type hints are correct and comprehensive
- Code is consistently formatted
- Common bugs and issues are identified
## Integration with Other Skills
- Works with `python-project-setup` for initial configuration
- Complements `python-testing` for comprehensive quality assurance
- Used by `python-project-setup` agent for automated checks

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# Mypy Type Checking Configuration
Mypy is a static type checker for Python that helps catch bugs before runtime.
## Basic Configuration
Add to `pyproject.toml`:
```toml
[tool.mypy]
python_version = "3.11"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
strict_equality = true
show_error_codes = true
show_column_numbers = true
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
[[tool.mypy.overrides]]
module = "third_party_package.*"
ignore_missing_imports = true
```
## Strictness Levels
### Minimal (Getting Started)
```toml
[tool.mypy]
python_version = "3.11"
warn_return_any = false
warn_unused_configs = true
```
### Moderate (Recommended)
```toml
[tool.mypy]
python_version = "3.11"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
check_untyped_defs = true
```
### Strict (Maximum Safety)
```toml
[tool.mypy]
strict = true
python_version = "3.11"
```
## Common Configuration Options
### Type Checking Strictness
```toml
# Require type annotations
disallow_untyped_defs = true # Functions must have type hints
disallow_untyped_calls = true # Can't call untyped functions
disallow_incomplete_defs = true # All params must be typed
# Optional handling
no_implicit_optional = true # Optional must be explicit
strict_optional = true # None checking enabled
# Any type usage
disallow_any_unimported = false # Allow Any from untyped imports
disallow_any_expr = false # Forbid Any in expressions
disallow_any_decorated = false # Forbid Any in decorators
disallow_any_explicit = false # Forbid explicit Any
```
### Warning Messages
```toml
warn_return_any = true # Warn on returning Any
warn_redundant_casts = true # Warn on unnecessary casts
warn_unused_ignores = true # Warn on unused type: ignore
warn_unused_configs = true # Warn on unused config options
warn_no_return = true # Warn on missing returns
warn_unreachable = true # Warn on unreachable code
```
### Error Reporting
```toml
show_error_codes = true # Show error codes in messages
show_column_numbers = true # Show column numbers
pretty = true # Pretty print errors
color_output = true # Colorize output
error_summary = true # Show error summary
```
## Type Hints Guide
### Basic Types
```python
from typing import Any, Optional, Union
# Simple types
def greet(name: str) -> str:
return f"Hello, {name}"
# Optional (can be None)
def find_user(user_id: int) -> Optional[User]:
return user_map.get(user_id)
# Modern Optional syntax (Python 3.10+)
def find_user(user_id: int) -> User | None:
return user_map.get(user_id)
# Union types
def process(value: Union[int, str]) -> bool:
return True
# Modern Union syntax (Python 3.10+)
def process(value: int | str) -> bool:
return True
```
### Collections
```python
from typing import List, Dict, Set, Tuple
# Lists
def process_items(items: List[str]) -> List[int]:
return [len(item) for item in items]
# Modern syntax (Python 3.9+)
def process_items(items: list[str]) -> list[int]:
return [len(item) for item in items]
# Dictionaries
def get_config() -> Dict[str, Any]:
return {"key": "value"}
# Modern syntax
def get_config() -> dict[str, Any]:
return {"key": "value"}
# Sets
def unique_items(items: Set[int]) -> int:
return len(items)
# Tuples (fixed size)
def get_coordinates() -> Tuple[float, float]:
return (1.0, 2.0)
# Tuples (variable size)
def get_numbers() -> Tuple[int, ...]:
return (1, 2, 3, 4, 5)
```
### Callable Types
```python
from typing import Callable
# Function that takes int and returns str
Handler = Callable[[int], str]
def process(handler: Handler) -> None:
result = handler(42)
# Multiple parameters
Callback = Callable[[str, int], bool]
# No parameters
Factory = Callable[[], MyClass]
```
### Generic Types
```python
from typing import TypeVar, Generic
T = TypeVar('T')
class Container(Generic[T]):
def __init__(self, value: T) -> None:
self.value = value
def get(self) -> T:
return self.value
# Usage
container: Container[int] = Container(42)
value: int = container.get()
```
### Protocol Types
```python
from typing import Protocol
class Drawable(Protocol):
def draw(self) -> None: ...
def render(item: Drawable) -> None:
item.draw()
# Any class with draw() method works
class Circle:
def draw(self) -> None:
print("Drawing circle")
render(Circle()) # Type checks!
```
## Commands Reference
```bash
# Check all files
mypy src
# Check specific file
mypy src/module.py
# Strict mode
mypy --strict src
# Show error codes
mypy --show-error-codes src
# Generate type stubs
stubgen -p mypackage -o stubs
# Check against installed packages
mypy --install-types
mypy --non-interactive --install-types
```
## Common Errors and Fixes
### Error: "Argument has incompatible type"
```python
# Problem
def greet(name: str) -> str:
return f"Hello, {name}"
greet(123) # Error: Argument 1 has incompatible type "int"
# Fix: Pass correct type
greet("World")
# Or: Convert type
greet(str(123))
```
### Error: "Function is missing a return statement"
```python
# Problem
def get_value() -> int:
if condition:
return 42
# Missing return!
# Fix: Add return for all paths
def get_value() -> int:
if condition:
return 42
return 0
```
### Error: "Need type annotation"
```python
# Problem
items = [] # Error: Need type annotation
# Fix: Add type annotation
items: list[str] = []
# Or: Initialize with values
items = ["a", "b", "c"]
```
### Error: "Incompatible return type"
```python
# Problem
def get_name() -> str:
return None # Error: Incompatible return
# Fix: Use Optional
def get_name() -> str | None:
return None
```
## Ignoring Errors
```python
# Ignore single line
result = unsafe_function() # type: ignore
# Ignore with reason
result = unsafe_function() # type: ignore[arg-type]
# Ignore entire file
# mypy: ignore-errors
```
## Third-Party Package Stubs
### Installing Type Stubs
```bash
# Install stubs for requests
uv add --dev types-requests
# Common stubs
uv add --dev types-requests
uv add --dev types-redis
uv add --dev types-PyYAML
```
### Handling Missing Stubs
```toml
[[tool.mypy.overrides]]
module = "untyped_package.*"
ignore_missing_imports = true
```
## VSCode Integration
Add to `.vscode/settings.json`:
```json
{
"python.linting.mypyEnabled": true,
"python.linting.enabled": true,
"python.analysis.typeCheckingMode": "basic"
}
```
## Best Practices
1. **Start gradual**: Enable mypy gradually, module by module
2. **Use strict mode**: `strict = true` for new projects
3. **Add type hints everywhere**: Functions, methods, variables
4. **Use Protocol for duck typing**: Better than inheritance
5. **Leverage modern syntax**: Use `list` instead of `List` (Python 3.9+)
6. **Install type stubs**: For all third-party packages
7. **Run in CI**: Fail builds on type errors
8. **Document with types**: Types serve as documentation
## Incremental Adoption
```toml
# Start with specific directories
[tool.mypy]
files = ["src/critical_module"]
strict = true
# Gradually expand
files = ["src/critical_module", "src/api"]
# Eventually cover everything
files = ["src"]
```

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# Ruff Configuration Guide
Ruff is a fast Python linter and formatter that replaces multiple tools (isort, flake8, pyupgrade, etc.).
## Basic Configuration
Add to `pyproject.toml`:
```toml
[tool.ruff]
line-length = 100
target-version = "py311"
src = ["src", "tests"]
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
"ARG", # flake8-unused-arguments
"SIM", # flake8-simplify
"TCH", # flake8-type-checking
"RUF", # Ruff-specific rules
]
ignore = [
"E501", # line too long (handled by formatter)
"B008", # do not perform function calls in argument defaults
]
[tool.ruff.lint.per-file-ignores]
"tests/**/*.py" = [
"ARG", # Unused function arguments allowed in tests
"S101", # Assert allowed in tests
]
"__init__.py" = [
"F401", # Unused imports allowed in __init__.py
]
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
line-ending = "auto"
[tool.ruff.lint.isort]
known-first-party = ["project_name"]
```
## Rule Categories
### Error Detection (E, W, F)
- **E**: PEP 8 style errors
- **W**: PEP 8 style warnings
- **F**: PyFlakes logical errors
### Code Quality (B, C4, SIM)
- **B**: Bugbear - likely bugs and design problems
- **C4**: Comprehensions - simplify list/dict/set comprehensions
- **SIM**: Simplify - code simplification suggestions
### Modernization (UP)
- **UP**: PyUpgrade - use modern Python syntax
- `typing.List``list`
- `Optional[str]``str | None` (Python 3.10+)
### Organization (I)
- **I**: isort - import sorting and organization
### Performance (ARG, TCH)
- **ARG**: Detect unused function arguments
- **TCH**: Type checking imports (move to TYPE_CHECKING block)
## Common Rules
### E/W Series (PEP 8)
- `E111`: Indentation is not a multiple of 4
- `E201`: Whitespace after '('
- `E202`: Whitespace before ')'
- `E203`: Whitespace before ':'
- `E302`: Expected 2 blank lines
- `E303`: Too many blank lines
- `W291`: Trailing whitespace
### F Series (PyFlakes)
- `F401`: Unused import
- `F811`: Redefinition of unused name
- `F821`: Undefined name
- `F841`: Local variable assigned but never used
### B Series (Bugbear)
- `B002`: Using * in exception handling
- `B006`: Mutable default argument
- `B007`: Loop variable not used
- `B008`: Function calls in default arguments
- `B904`: Use `raise ... from ...` for exception chaining
### UP Series (PyUpgrade)
- `UP006`: Use `list` instead of `typing.List`
- `UP007`: Use `X | Y` instead of `typing.Union[X, Y]`
- `UP032`: Use f-strings instead of `.format()`
## Commands Reference
### Linting
```bash
# Check all files
ruff check .
# Check specific file
ruff check src/module.py
# Auto-fix issues
ruff check --fix .
# Show fixes without applying
ruff check --diff .
# Watch mode (re-run on file changes)
ruff check --watch .
# Output JSON format
ruff check --output-format=json .
```
### Formatting
```bash
# Format all files
ruff format .
# Format specific file
ruff format src/module.py
# Check if formatting needed (CI)
ruff format --check .
# Show diff without applying
ruff format --diff .
```
### Configuration Testing
```bash
# Show active configuration
ruff check --show-settings
# Show all available rules
ruff rule --all
# Show specific rule documentation
ruff rule F401
```
## Per-File Ignores
Ignore specific rules for specific files:
```toml
[tool.ruff.lint.per-file-ignores]
"tests/**/*.py" = ["ARG", "S101"] # Tests can use assert and unused args
"__init__.py" = ["F401"] # Unused imports OK in __init__
"scripts/**/*.py" = ["T201"] # print() OK in scripts
"migrations/**/*.py" = ["E501"] # Long lines OK in migrations
```
## VSCode Integration
Add to `.vscode/settings.json`:
```json
{
"[python]": {
"editor.defaultFormatter": "charliermarsh.ruff",
"editor.formatOnSave": true,
"editor.codeActionsOnSave": {
"source.organizeImports": "explicit",
"source.fixAll": "explicit"
}
},
"ruff.enable": true,
"ruff.lint.enable": true,
"ruff.format.enable": true
}
```
## Performance Tips
Ruff is extremely fast (10-100x faster than alternatives):
- Written in Rust for performance
- Parallel processing by default
- Incremental linting in watch mode
- Caching for repeated runs
## Migration from Other Tools
### From Black
Ruff's formatter is compatible with Black:
```bash
ruff format . # Replaces: black .
```
### From isort
```bash
ruff check --select I --fix . # Replaces: isort .
```
### From flake8
```bash
ruff check . # Replaces: flake8 .
```
### From pyupgrade
```bash
ruff check --select UP --fix . # Replaces: pyupgrade .
```
## Best Practices
1. **Run formatter last**: `ruff check --fix . && ruff format .`
2. **Use in CI**: Check both linting and formatting
3. **Configure per-file ignores**: For tests, init files, migrations
4. **Enable auto-fix**: Most issues can be fixed automatically
5. **Use with pre-commit**: Run checks before commits
6. **Review rule changes**: Stay updated with new releases