Python package to store your application settings. Validators are built-in!
Reason this release was yanked:
Not maintaned. Consider use https://pypi-hypernode.com/project/pydantic-settings/
Project description
pysettings
Pysettings is a Python package to store your application settings. Compared to some settings managers, this package has been inspired by Django Rest Frameworks validators where you can validate the user input beforehand.
That simplifies your code because settings don't need to be validated in your application logic. Available features are:
- Store your application settings without using global objects.
- Extend your settings using a
BaseSettings
class. The resulting class can be validated using asettings.is_valid()
method. - Fields are represented with an
Option
field that takesvalidators
as parameter. It's possible to set adefault
value if the option is not set by users. - Out of the box validators:
not_null
,is_https_url
. - It's possible to add custom validators as functions.
Requirements
- Python 3.7+
Getting Started
pysettings
is available on PyPI:
$ pip install pysettings-validator
Create your Settings
from pysettings.base import BaseSettings
from pysettings.options import Option
from pysettings.validators import is_https_url
# Class definition
class Settings(BaseSettings):
url = Option(validators=[is_https_url])
description = Option()
# Use settings in your application
settings = Settings()
settings.url = "https://example.com"
settings.description = "A shiny Website!"
settings.is_valid() # returns (True, [])
Settings API
settings
instance doesn't allow to set attributes not defined as Option
. If you
try to set a setting that is not defined, a OptionNotAvailable
exception is raised:
class Settings(BaseSettings):
description = Option()
# Use settings in your application
settings = Settings()
settings.url = "https://example.com" # raise `OptionNotAvailable`
is_valid()
exposes a raise_exception=True
kwarg in case you prefer to not raise
exceptions in your code:
class Settings(BaseSettings):
url = Option(validators=[is_https_url])
# Use settings in your application
settings = Settings()
settings.url = "http://example.com"
settings.is_valid() # raise ConfigNotValid exception
settings.is_valid(raise_exception=False) # return (False, [{'url': [{'is_https_url': 'The schema must be HTTPS'}]}])
Create a Custom Validator
# app/validators.py
from pysettings.exceptions import ValidationError
def is_a_boolean(value):
if isinstance(value, bool):
return True
else:
raise ValidationError("The value must a Boolean")
# app/settings.py
from .validators import is_a_boolean
class Settings(BaseSettings):
dry_run = Option(validators=[is_a_boolean])
description = Option()
# app/main.py
settings = Settings()
settings.dry_run = "Yes"
settings.description = "Dry run mode!"
settings.is_valid() # raises ConfigNotValid exception
Development
We accept external contributions even though the project is mostly designed for personal needs. If you think some parts can be exposed with a more generic interface, feel free to open a GitHub issue and to discuss your suggestion.
Coding Guidelines
We use flake8 as a style guide enforcement. That said, we also use black to
reformat our code, keeping a well defined style even for quotes, multi-lines blocks and other.
Before submitting your code, be sure to launch black
to reformat your PR.
Testing
tox
is used to execute the following test matrix:
lint
: launchesflake8
andblack --check
to be sure the code honors our style guidelinepy{35,36,37,38}
: launchespy.test
to execute all tests under Python 3.5, 3.6, 3.7 and 3.8.
To launch the full test matrix, just:
$ tox
Project details
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