django-swifty 2.0.0

A powerful Django toolkit for rapid development — auth, caching, logging, serializers, and more.

Django Swifty

A powerful, lightweight Django toolkit that enhances your development experience with authentication, caching, structured logging, dynamic serializers, and expression evaluation — all with zero platform-specific dependencies.

Installation

pip install django-swifty

With Redis caching support:

pip install django-swifty[redis]

With all optional features:

pip install django-swifty[all]

Quick Start

Add swifty to your INSTALLED_APPS:

INSTALLED_APPS = [
    ...
    "swifty",
]

Features

🔐 Authentication & Authorization

JWT-based authentication with layered permissions via Django REST Framework.

from swifty.auth.permissions import SwiftyPermission
from swifty.viewsets.viewsets import SwiftyViewSet

class AdminPermission(SwiftyPermission):
    """Only allow users with admin or superuser role."""
    permission_layers = [
        {"path": "role", "allowed": ["admin", "superuser"]},
    ]

class MyViewSet(SwiftyViewSet):
    permission_classes = (AdminPermission,)

    def list(self, request):
        return Response({"items": []})

Features:

• JWT token rotation and validation via AccessTokenManager
• Layer-based permission checks with dynamic callables
• Per-action permission and authentication class overrides

---

⚡ Caching

Method-level caching with pluggable backends (Redis by default).

from swifty.cache.manager import cache, cache_property

class ProductService:
    redis_cache_pattern = {"prefix": "PRODUCTS", "ttl": 3600, "vary_by": ["user_id"]}

    @cache(ttl=1800, static_key="featured")
    def get_featured(self):
        return Product.objects.filter(featured=True)

    @cache_property
    def categories(self):
        return Category.objects.all()

Features:

• @cache decorator for methods with TTL, static keys, and vary-by
• @cache_property for cached properties
• Configurable cache backend via settings.CACHE_BACKEND
• Auto-reconnection on Redis failures
• Pipeline-based batch cache deletion

Configuration:

# settings.py
import redis

REDIS_CONNECTION_POOL = {
    "pool_1": redis.ConnectionPool(host="localhost", port=6379, db=1),
}

# Optional: custom cache backend
# CACHE_BACKEND = "myapp.cache.MyCustomCache"

---

📝 Structured Logging

Structured logging via structlog with automatic request context binding.

from swifty.logging.logger import SwiftyLoggerMixin

class OrderService(SwiftyLoggerMixin):
    def create_order(self, data):
        self.logger.info("Creating order", item_count=len(data["items"]))
        # ... business logic ...
        self.logger.info("Order created", order_id=order.id)

Features:

• SwiftyLoggerMixin provides a cached self.logger property
• Automatic module.ClassName logger naming
• Request context binding (user, path, method) via RequestContext
• JSON, console, and key-value formatters

Configuration:

# settings.py
# Swifty auto-configures logging if LOGGING is not set.
# Customize via:
SWIFTY_LOGGING_CONFIG = {
    "log_level": logging.DEBUG,
}

# Custom context fields:
CONTEXT_FIELDS_MAPPING = (
    ("user.username", "username"),
    ("user.id", "user_id"),
    ("method", "method"),
    ("path", "path"),
)

---

🔄 Dynamic Serializers

Build serializers dynamically from configuration with expression-based calculators and validators.

from swifty.serializers.manager import create_dynamic_serializer

fields_config = [
    {"field_name": "name", "type": "CharField", "required": True, "max_length": 100},
    {"field_name": "price", "type": "FloatField", "min_value": 0},
    {"field_name": "quantity", "type": "IntegerField", "default": 1},
    {
        "field_name": "total",
        "type": "FloatField",
        "calculator": {"expression": "price * quantity"},
    },
]

MySerializer = create_dynamic_serializer(fields_config)

Available field types: CharField, EmailField, URLField, UUIDField, IntegerField, FloatField, DecimalField, BooleanField, DateField, DateTimeField, DateRangeField, TimeField, DurationField, ListField, DictField, ChoiceField, MultipleChoiceField, SlugField, FileField, ImageField, JSONField, ReadOnlyField, HiddenField, SectionField, SectionManyField

---

🧮 Expression Evaluator

Safe mathematical and logical expression evaluation with AST-based security.

from swifty.expressionator.manager import ExpressionatorManager

em = ExpressionatorManager(data={"price": 100, "tax_rate": 0.1, "quantity": 3})

total = em.evaluate("price * quantity * (1 + tax_rate)")  # 330.0
is_bulk = em.evaluate("quantity > 5")  # False
discount = em.evaluate("max(price * 0.1, 10)")  # 10.0

Features:

• AST node whitelisting for security (no arbitrary code execution)
• Math functions (sin, cos, sqrt, pi, etc.)
• Safe builtins (max, min, abs, len, sum, round, etc.)
• Expression compilation caching for performance
• Extensible via custom namespaces

from swifty.expressionator.namespace import ExpressionatorNamespace

class MyNamespace(ExpressionatorNamespace):
    def _expr_clamp(self, value, low, high):
        return max(low, min(high, value))

em = ExpressionatorManager(data={"x": 150}, namespace=MyNamespace)
em.evaluate("clamp(x, 0, 100)")  # 100

---

🛠 Utilities

Path-based data access:

from swifty.utils.mapper import getpath

data = {"user": {"profile": {"name": "Alice"}}}
getpath(data, "user.profile.name")  # "Alice"
getpath(data, "user.missing", "default")  # "default"

Dict-to-object conversion:

from swifty.utils.objects import DictObject

obj = DictObject({"user": {"name": "Alice", "tags": ["admin", "staff"]}})
obj.user.name  # "Alice"
obj.user.tags  # DotList(["admin", "staff"])

Once-trigger decorator:

from swifty.utils.decorators import once_trigger

class ExpensiveService:
    @property
    @once_trigger
    def connection(self):
        return create_expensive_connection()  # Called only once per instance

Dynamic module importing:

from swifty.utils.importer import import_module_attribute

MyClass = import_module_attribute("myapp.module.MyClass")

---

🌐 ViewSets

Enhanced DRF ViewSets with JWT auth, structured logging, and request context.

from swifty.viewsets.viewsets import SwiftyViewSet
from swifty.viewsets.exceptions import JsonException
from rest_framework.response import Response

class ProductViewSet(SwiftyViewSet):
    def list(self, request):
        self.logger.info("Listing products")
        return Response({"products": []})

    def create(self, request):
        if not request.data.get("name"):
            raise JsonException({"name": "This field is required."}, status_code=400)
        return Response({"created": True}, status=201)

Features:

• Auto request context binding to logger
• Per-action authentication and permission overrides
• JsonException for structured JSON error responses
• Double-initialization guard for request objects

Requirements

• Python ≥ 3.10
• Django ≥ 3.2
• Django REST Framework ≥ 3.12

Configuration Reference

Setting	Description	Default
REDIS_CONNECTION_POOL	Dict of Redis connection pools	Required for Redis cache
CACHE_BACKEND	Custom cache backend class path	swifty.redis.cache.RedisCache
SWIFTY_LOGGING_CONFIG	Kwargs for get_logging_config()	{}
CONTEXT_FIELDS_MAPPING	Request context field mappings	See logging section

Contributing

We welcome contributions! Here's how you can help:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

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

Authors

• Phuc Le - Initial work - Github

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Made with ❤️ by the Django Swifty Team