django-nx

Lightweight Django field utilities and extensions that reduce boilerplate and enforce sensible defaults.

Installation

pip install django-nx

Requires Python >= 3.9, Django >= 3.2, and Django REST Framework >= 3.12.4.

Quick Start

from nx import nx

class Product(nx.Model):
    name = nx.CharField('Name') # Default max_length=128
    price = nx.MoneyField('Price')
    status = nx.IntChoiceField('Status', choices=ProductStatus)
    tags = nx.ArrayField('Tags')
    metadata = nx.ObjectField('Metadata')

Table of Contents

• Model Fields
• Choices
• Base Model
• QuerySet
• DRF Serializers
• DRF Views
• Utilities

Model Fields

All fields automatically use verbose_name as help_text when help_text is not explicitly provided.

Character Fields

name = nx.CharField('Name', max_length=255)
description = nx.TextField('Description')
priority = nx.TextChoiceField('Priority', choices=PriorityLevel)

Numeric Fields

quantity = nx.IntegerField('Quantity')
price = nx.MoneyField('Price')           # DECIMAL(18,2)
discount = nx.MoneyField('Discount', max_digits=5, decimal_places=4)
status = nx.IntChoiceField('Status', choices=OrderStatus)

Boolean & Temporal Fields

is_active = nx.BooleanField('Is Active')
published_at = nx.DateTimeField('Published At')
birth_date = nx.DateField('Birth Date')

Relationship Fields

user = nx.ForeignKey('auth.User', 'User')
profile = nx.OneToOne('accounts.Profile', 'Profile')
tags = nx.ManyToMany('products.Tag', 'Tags')

# Soft / logical foreign key (no DB-level constraint)
legacy_id = nx.ShadowForeignKey('legacy.Model', 'Legacy Ref')

JSON & UUID Fields

config = nx.ObjectField('Config')
items = nx.ArrayField('Items')
code = nx.ShortUUIDField('Code')

Base Model

nx.Model is an abstract base model that provides:

• created_at – auto_now_add timestamp
• updated_at – auto_now timestamp
• is_deleted – soft-delete flag (default False)
• Auto-generated db_table – {app_label}_{snake_case_model_name} via humps.decamelize

import nx

class Product(nx.Model):
    name = nx.CharField('Name', max_length=255)

    class Meta:
        app_label = 'shop'
        # db_table = 'shop_product'  # auto-generated if omitted

Explicitly set Meta.db_table to skip auto-naming.

QuerySet

nx.QuerySet adds soft-delete aware query methods. It reads deleted_field from Model.Meta (defaults to is_deleted).

from nx.models.querysets import QuerySet

class ProductQuerySet(QuerySet):
    pass

class Product(nx.Model):
    ...
    class Meta:
        deleted_field = 'is_deleted'

Product.objects.valid()     # is_deleted=False / 0
Product.objects.invalid()   # is_deleted=True / 1

DRF Serializers

from rest_framework import serializers
import nx

class ProductSerializer(nx.drf.AutoInstanceLookupMixin, serializers.ModelSerializer):
    price = nx.drf.MoneyField()
    stock = nx.drf.QuantityField()
    category_name = nx.drf.MethodField()

    class Meta:
        model = Product
        fields = ['id', 'price', 'stock', 'category_name']

    def get_category_name(self, obj):
        return obj.category.name if obj.category else None

DRF Views

ListMetadataMixin

Inject a top-level meta object (or any custom root key) into list responses.

from rest_framework import viewsets
import nx

class ProductViewSet(nx.drf.ListMetadataMixin, viewsets.ModelViewSet):
    queryset = Product.objects.all()
    serializer_class = ProductSerializer
    list_metadata_root = "meta"  # optional; omit to merge at top-level

    def get_list_metadata(self, request, queryset, response):
        return {
            "total": queryset.count(),
            "timestamp": timezone.now().isoformat(),
        }

Response shape with list_metadata_root = "meta":

{
  "count": 100,
  "results": [...],
  "meta": {
    "total": 100,
    "timestamp": "2024-01-15T09:30:00Z"
  }
}

Response shape without list_metadata_root:

{
  "count": 100,
  "results": [...],
  "total": 100,
  "timestamp": "2024-01-15T09:30:00Z"
}

Utilities

get_stat_datetime_range

Returns today, week, month, and year datetime ranges respecting USE_TZ.

from nx.utils import get_stat_datetime_range

ranges = get_stat_datetime_range()
# ranges.today  -> (2024-01-15 00:00:00, 2024-01-15 23:59:59.999999)
# ranges.week   -> (Mon 00:00:00, Sun 23:59:59.999999)
# ranges.month  -> (1st 00:00:00, last_day 23:59:59.999999)
# ranges.year   -> (Jan 1 00:00:00, Dec 31 23:59:59.999999)

Development

# Install dependencies
uv sync

# Run tests
pytest

# Lint
ruff check .

# Build
uv build

License

MIT License — see LICENSE for details.