Skip to main content

Model your data and store it in a database.

Project description

plain.models

Model your data and store it in a database.

Overview

# app/users/models.py
from plain import models
from plain.passwords.models import PasswordField


@models.register_model
class User(models.Model):
    email = models.EmailField()
    password = PasswordField()
    is_admin = models.BooleanField(default=False)
    created_at = models.DateTimeField(auto_now_add=True)

    def __str__(self):
        return self.email

Every model automatically includes an id field which serves as the primary key. The name id is reserved and can't be used for other fields.

Create, update, and delete instances of your models:

from .models import User


# Create a new user
user = User.objects.create(
    email="test@example.com",
    password="password",
)

# Update a user
user.email = "new@example.com"
user.save()

# Delete a user
user.delete()

# Query for users
admin_users = User.objects.filter(is_admin=True)

Database connection

To connect to a database, you can provide a DATABASE_URL environment variable:

DATABASE_URL=postgresql://user:password@localhost:5432/dbname

Or you can manually define the DATABASE setting:

# app/settings.py
DATABASE = {
    "ENGINE": "plain.models.backends.postgresql",
    "NAME": "dbname",
    "USER": "user",
    "PASSWORD": "password",
    "HOST": "localhost",
    "PORT": "5432",
}

Multiple backends are supported, including Postgres, MySQL, and SQLite.

Querying

Models come with a powerful query API through their Manager interface:

# Get all users
all_users = User.objects.all()

# Filter users
admin_users = User.objects.filter(is_admin=True)
recent_users = User.objects.filter(created_at__gte=datetime.now() - timedelta(days=7))

# Get a single user
user = User.objects.get(email="test@example.com")

# Complex queries with Q objects
from plain.models import Q
users = User.objects.filter(
    Q(is_admin=True) | Q(email__endswith="@example.com")
)

# Ordering
users = User.objects.order_by("-created_at")

# Limiting results
first_10_users = User.objects.all()[:10]

For more advanced querying options, see the QuerySet class.

Migrations

Migrations track changes to your models and update the database schema accordingly:

# Create migrations for model changes
plain makemigrations

# Apply migrations to the database
plain migrate

# See migration status
plain models show-migrations

Migrations are Python files that describe database schema changes. They're stored in your app's migrations/ directory.

Fields

Plain provides many field types for different data:

from plain import models

class Product(models.Model):
    # Text fields
    name = models.CharField(max_length=200)
    description = models.TextField()

    # Numeric fields
    price = models.DecimalField(max_digits=10, decimal_places=2)
    quantity = models.IntegerField(default=0)

    # Boolean fields
    is_active = models.BooleanField(default=True)

    # Date and time fields
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)

    # Relationships
    category = models.ForeignKey("Category", on_delete=models.CASCADE)
    tags = models.ManyToManyField("Tag")

Common field types include:

Validation

Models can be validated before saving:

class User(models.Model):
    email = models.EmailField(unique=True)
    age = models.IntegerField()

    def clean(self):
        if self.age < 18:
            raise ValidationError("User must be 18 or older")

    def save(self, *args, **kwargs):
        self.full_clean()  # Runs validation
        super().save(*args, **kwargs)

Field-level validation happens automatically based on field types and constraints.

Indexes and constraints

Optimize queries and ensure data integrity with indexes and constraints:

class User(models.Model):
    email = models.EmailField()
    username = models.CharField(max_length=150)
    age = models.IntegerField()

    class Meta:
        indexes = [
            models.Index(fields=["email"]),
            models.Index(fields=["-created_at"], name="user_created_idx"),
        ]
        constraints = [
            models.UniqueConstraint(fields=["email", "username"], name="unique_user"),
            models.CheckConstraint(check=models.Q(age__gte=0), name="age_positive"),
        ]

Managers

Manager objects provide the interface for querying models:

class PublishedManager(models.Manager):
    def get_queryset(self):
        return super().get_queryset().filter(status="published")

class Article(models.Model):
    title = models.CharField(max_length=200)
    status = models.CharField(max_length=20)

    # Default manager
    objects = models.Manager()

    # Custom manager
    published = PublishedManager()

# Usage
all_articles = Article.objects.all()
published_articles = Article.published.all()

Forms

Models integrate with Plain's form system:

from plain import forms
from .models import User

class UserForm(forms.ModelForm):
    class Meta:
        model = User
        fields = ["email", "is_admin"]

# Usage
form = UserForm(data=request.data)
if form.is_valid():
    user = form.save()

Sharing fields across models

To share common fields across multiple models, use Python classes as mixins. The final, registered model must inherit directly from models.Model and the mixins should not.

from plain import models


# Regular Python class for shared fields
class TimestampedMixin:
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)


# Models inherit from the mixin AND models.Model
@models.register_model
class User(TimestampedMixin, models.Model):
    email = models.EmailField()
    password = PasswordField()
    is_admin = models.BooleanField(default=False)


@models.register_model
class Note(TimestampedMixin, models.Model):
    content = models.TextField(max_length=1024)
    liked = models.BooleanField(default=False)

Installation

Install the plain.models package from PyPI:

uv add plain.models

Then add to your INSTALLED_PACKAGES:

# app/settings.py
INSTALLED_PACKAGES = [
    ...
    "plain.models",
]

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

plain_models-0.40.0.tar.gz (353.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

plain_models-0.40.0-py3-none-any.whl (405.9 kB view details)

Uploaded Python 3

File details

Details for the file plain_models-0.40.0.tar.gz.

File metadata

  • Download URL: plain_models-0.40.0.tar.gz
  • Upload date:
  • Size: 353.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.8.4

File hashes

Hashes for plain_models-0.40.0.tar.gz
Algorithm Hash digest
SHA256 9639d595c28d1a1cb705b77e837163952ac030e2942bf82ffd43b7106fb489fe
MD5 075b70c61172325f652e1225e822cee1
BLAKE2b-256 8f977635a0ed92bac360d59eea2f28b1e9eac11e5d6ff3c2a6a981942598b269

See more details on using hashes here.

File details

Details for the file plain_models-0.40.0-py3-none-any.whl.

File metadata

File hashes

Hashes for plain_models-0.40.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f50c0b6f7387a61e3cf943f3338b2bce3a15a4951d388ac73138d82569a87b20
MD5 8bec6e438db9c66f16d7df3272915dd2
BLAKE2b-256 ff7e6e160c3d3f5c374371f298485597ba385102050f2e9e9749794fba5502af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page