pyguard-args 0.1.1

A Python library for validating function arguments using decorators

pyguard-args

A lightweight, decorator-based Python library for validating function arguments with an intuitive and expressive syntax.

✨ Features

• 🎯 Simple decorator syntax - Just add @guard() to your functions
• 🔍 Type validation - Automatic type checking from type hints
• ✅ Choice validation - Restrict values to specific options
• 📝 String validation - Email, URL, regex patterns, and length
• 📦 Schema validation - Validate dictionary structures
• 🔧 Custom validators - Easy to create and register your own
• 🎨 Clear error messages - Detailed validation failures
• 🚀 Zero dependencies - Pure Python, stdlib only

📦 Installation

pip install pyguard-args

Requirements:

• Python 3.9 or higher

🚀 Quick Start

from pyguard import guard

@guard(
    age={"gte": 18, "lte": 120},
    email={"email": True},
    username={"length": (3, 20), "regex": r"^[a-zA-Z0-9_]+$"}
)
def register_user(age: int, email: str, username: str):
    return f"User {username} registered successfully!"

# Valid call
register_user(25, "[e-mail]", "john_doe")

# Raises GuardValidationError: age must be at least 18
register_user(15, "[e-mail]", "john_doe")

# Raises GuardValidationError: email must be a valid email address
register_user(25, "invalid-email", "john_doe")

📖 Available Validators

Comparison Validators

Validate numeric values with comparison operators:

@guard(
    age={"gte": 18},          # Greater than or equal
    score={"gt": 0},          # Greater than
    temperature={"lte": 100}, # Less than or equal
    count={"lt": 1000}        # Less than
)
def process_data(age: int, score: float, temperature: int, count: int):
    pass

Keywords:

• gte - Greater than or equal to
• gt - Greater than
• lte - Less than or equal to
• lt - Less than

Type Validation

Type validation is automatic when you use type hints:

@guard()
def calculate(x: int, y: float) -> float:
    return x * y

# Raises GuardValidationError: x must be of type <class 'int'>
calculate("5", 2.5)

You can also explicitly specify types:

@guard(value={"type": int})
def process(value):
    pass

Choice Validation

Restrict values to a specific set of choices:

@guard(currency={"choices": ["USD", "EUR", "GBP"]})
def process_payment(amount: float, currency: str):
    pass

# Works with Enums too
from enum import Enum

class Status(Enum):
    ACTIVE = "active"
    INACTIVE = "inactive"

@guard(status={"choices": Status})
def update_status(status: Status):
    pass

String Validators

Length Validation

@guard(
    username={"length": (3, 20)},     # Min 3, max 20
    password={"length": (8, None)},   # Min 8, no max
    code={"length": (None, 10)}       # No min, max 10
)
def create_account(username: str, password: str, code: str):
    pass

Email Validation

@guard(email={"email": True})
def send_message(email: str, message: str):
    pass

URL Validation

@guard(website={"url": True})
def add_bookmark(website: str):
    pass

Regex Validation

@guard(
    phone={"regex": r"^\d{3}-\d{3}-\d{4}$"},
    zip_code={"regex": r"^\d{5}(-\d{4})?$"}
)
def update_contact(phone: str, zip_code: str):
    pass

Dictionary Validators

Required Keys

@guard(config={"keys": ["host", "port", "database"]})
def connect_db(config: dict):
    pass

# Must include all required keys
connect_db({"host": "localhost", "port": 5432, "database": "mydb"})

Schema Validation

@guard(
    user={
        "schema": {
            "name": str,
            "age": int,
            "email": str
        }
    }
)
def create_user(user: dict):
    pass

# Validates both keys and types
create_user({"name": "John", "age": 30, "email": "[e-mail]"})

Required Validation

Mark arguments as required (cannot be None):

@guard(user_id={"required": True})
def get_user(user_id):
    pass

# Raises GuardValidationError: user_id must not be None
get_user(None)

🎨 Multiple Validators

You can combine multiple validators on a single argument:

@guard(
    username={
        "length": (3, 20),
        "regex": r"^[a-zA-Z0-9_]+$"
    },
    age={
        "gte": 13,
        "lte": 120,
        "type": int
    }
)
def register(username: str, age: int):
    pass

🔧 Custom Validators

Create your own validators by extending the Validator class:

from pyguard import Guard, Validator, guard
from typing import Any

@Guard.register_validator("divisible_by")
class DivisibleByValidator(Validator):
    def validate(self, value: Any):
        if value % self.expected != 0:
            return f"{self.name} must be divisible by {self.expected}"
        return None

# Use your custom validator
@guard(number={"divisible_by": 5})
def process_number(number: int):
    return number * 2

process_number(10)  # OK
process_number(7)   # Raises GuardValidationError

🎯 Real-World Examples

User Registration

@guard(
    username={"length": (3, 20), "regex": r"^[a-zA-Z0-9_]+$"},
    email={"email": True},
    password={"length": (8, 128)},
    age={"gte": 13, "lte": 120}
)
def register_user(username: str, email: str, password: str, age: int):
    # Registration logic here
    return {"status": "success", "username": username}

API Pagination

@guard(
    page={"gte": 1, "type": int},
    per_page={"gte": 1, "lte": 100, "type": int}
)
def get_items(page: int = 1, per_page: int = 20):
    # Fetch paginated items
    return {"page": page, "per_page": per_page, "items": []}

Configuration Validation

@guard(
    config={
        "schema": {
            "database": dict,
            "api_key": str,
            "timeout": int
        },
        "keys": ["database", "api_key"]
    }
)
def initialize_app(config: dict):
    # App initialization
    pass

🚨 Error Handling

When validation fails, GuardValidationError is raised with detailed information:

from pyguard import guard, GuardValidationError

@guard(age={"gte": 18}, email={"email": True})
def register(age: int, email: str):
    pass

try:
    register(15, "invalid-email")
except GuardValidationError as e:
    print(e)
    # Output:
    # Validation failed for register:
    #   - age:
    #     • age must be at least 18
    #   - email:
    #     • email must be a valid email address
    
    # Access structured error data
    print(e.errors)
    # {'age': ['age must be at least 18'], 
    #  'email': ['email must be a valid email address']}

🔄 Optional Parameters

Use Optional type hints for parameters that can be None:

from typing import Optional

@guard(
    name={"length": (2, 50)},
    email={"email": True}
)
def update_profile(name: str, email: Optional[str] = None):
    pass

update_profile("John")  # OK - email is optional
update_profile("John", "[e-mail]")  # OK

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

🗺️ Roadmap

• Pydantic integration for schema validation
• Async function support
• Additional string validators (startswith, endswith, contains)
• Collection validators (all_items, any_item, unique)
• Custom error messages
• Add support for Python 3.9

📊 Changelog

See CHANGELOG.md for version history.

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Made with ❤️ by Mateusz Jasinski & Tadow Dev