Use Pydantic to enhance your Django application settings.
Project description
Django Base Settings
Use Pydantic to enhance your Django application settings.
Requirements
- Python 3.10 or newer
Installation
To install Django Base Settings, run the following command:
poetry add django-base-settings
Usage
In your Django settings file, define a subclass of DjangoBaseSettings
:
from django_base_settings import DjangoBaseSettings
class MySiteSettings(DjangoBaseSettings):
allowed_hosts: list[str] = ["www.example.com"]
debug: bool = False
default_from_email: str = "webmaster@example.com"
my_site_settings = MySiteSettings()
This is equivalent to:
ALLOWED_HOSTS = ["www.example.com"]
DEBUG = False
DEFAULT_FROM_EMAIL = "webmaster@example.com"
Nested Settings
For more complex configurations, you can define nested settings using Pydantic models:
from django_base_settings import BaseSettings, DjangoBaseSettings
class CacheSettings(BaseSettings):
backend: str = "django.core.cache.backends.redis.RedisCache"
location: str = "redis://127.0.0.1:6379/1"
class MySiteSettings(DjangoBaseSettings):
caches: dict[str, CacheSettings] = {"default": CacheSettings()}
my_site_settings = MySiteSettings()
This configuration is equivalent to:
CACHES = {
"default": {
"BACKEND": "django.core.cache.backends.redis.RedisCache",
"LOCATION": "redis://127.0.0.1:6379/1",
}
}
[!NOTE] Import
BaseModel
/BaseSettings
fromdjango_base_settings
for your nested configuration objects instead ofpydantic
/pydantic_settings
. These provide additional features, which are necessary to generate a valid Django configuration.
Environment Variables
Fields contained within DjangoBaseSettings
and BaseSettings
objects can be a assigned value or have their default value overwritten through environment variables, providing flexibility for different deployment environments.
In this example:
from django_base_settings import DjangoBaseSettings
class MySiteSettings(DjangoBaseSettings):
default_from_email: str = "webmaster@example.com"
my_site_settings = MySiteSettings()
Setting DEFAULT_FROM_EMAIL
as an environment variable will override the default value of default_from_email
:
export DEFAULT_FROM_EMAIL="admin@example.com"
You can also specify a different environment variable name:
from pydantic import Field
from django_base_settings import DjangoBaseSettings
class MySiteSettings(DjangoBaseSettings):
default_from_email: str = Field("webmaster@example.com", env="DEFAULT_EMAIL")
my_site_settings = MySiteSettings()
In this example, setting DEFAULT_EMAIL
as an environment variable will override the default value of default_from_email
:
export DEFAULT_EMAIL="admin@example.com"
Pydantic Fields
You can use fields from Pydantic to further enhance your settings and improve the validation of the configuration. For example, for setting up CacheSettings
, you can define the location
as RedisDsn
instead of str
:
from pydantic import RedisDsn
from django_base_settings import BaseSettings, DjangoBaseSettings
class CacheSettings(BaseSettings):
backend: str = "django.core.cache.backends.redis.RedisCache"
location: RedisDsn = "redis://127.0.0.1:6379/1"
class MySiteSettings(DjangoBaseSettings):
caches: dict[str, CacheSettings] = {"default": CacheSettings()}
my_site_settings = MySiteSettings()
The above code ensures thelocation
field adheres to the RedisDsn
format, providing an extra layer of validation on your settings.
[!TIP] For more detailed information on DSN types and their usage, refer to the pydantic documentation on network types.
Altering Settings
Django does not recommend altering the application settings during runtime. To align with this best practice, all fields defined using DjangoBaseSettings are immutable and cannot be modified after initialization.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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