pyspry 1.0.2

Description:

pyspry 1.0.2

A Springy Little Configuration Reader











Influenced by Spring Boot's YAML configuration features,
this library reads system configuration settings from environment variables and YAML files.
Installation
To install using pip:
pip install pyspry

Usage
By default, a file named config.yml in the current directory will be loaded and parsed for
configuration settings. These can be accessed through the pyspry.settings module.
For example, consider the following config.yml file:


DATABASES:
default:
AUTOCOMMIT: true
NAME: db.sqlite3
DEBUG: true
DEFAULT_CHARSET: utf-8


These configuration settings can be accessed as follows:
>>> from pyspry import settings
>>> settings.DEBUG
True

>>> settings.DEFAULT_CHARSET
'utf-8'

Specifying Alternate Config Files
Set the environment variable PYSPRY_CONFIG_PATH to override the default path to the configuration
file:
>>> import os; os.environ["PYSPRY_CONFIG_PATH"]
'sample-config.yml'

>>> from pyspry import settings
>>> settings.PYSPRY_STATICFILES_FINDERS
['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder']

Variable Prefixes
Set the environment variable PYSPRY_VAR_PREFIX to filter which settings are loaded:
>>> import os; os.environ["PYSPRY_VAR_PREFIX"]
'PYSPRY'

>>> from pyspry import settings
>>> "TEST_RUNNER" in settings # the prefix is automatically inserted
True

>>> "IGNORED_SETTING" in settings # see the last line in 'sample-config.yml'
False

Nested Structures
If the configuration includes nested data structures, each layer of nesting can be traversed using
_-separated names:
>>> settings.LOGGING["version"] == settings.LOGGING_version == 1
True

>>> settings.LOGGING["loggers"]["pyspry"]["level"] == \
... settings.LOGGING_loggers_pyspry_level == 'DEBUG'
True

Environment Variables
In many cases, it can be useful to set one-off overrides for a setting. This can be done with an
environment variable:
>>> import importlib, os
>>> settings.LOGGING_loggers_pyspry_level
'DEBUG'
>>> os.environ["PYSPRY_LOGGING_loggers_pyspry_level"] = "INFO"
>>> settings = importlib.reload(settings)
>>> settings.LOGGING["loggers"]["pyspry"]["level"]
'INFO'

Django Integration
This package was originally designed for use with the Django
framework. To use it:
# after installing the package, specify it as the settings module
export DJANGO_SETTINGS_MODULE=pyspry.settings

django-admin diffsettings

Development
The following system dependencies are required:

poetry
pre-commit
(optional) direnv
(optional) docker

Common development commands are managed by poethepoet; run
poe --help for an up-to-date list of commands:
Poe the Poet - A task runner that works well with poetry.
version 0.20.0

USAGE
poe [-h] [-v | -q] [--root PATH] [--ansi | --no-ansi] task [task arguments]

GLOBAL OPTIONS
-h, --help Show this help page and exit
--version Print the version and exit
-v, --verbose Increase command output (repeatable)
-q, --quiet Decrease command output (repeatable)
-d, --dry-run Print the task contents but don't actually run it
--root PATH Specify where to find the pyproject.toml
--ansi Force enable ANSI output
--no-ansi Force disable ANSI output

CONFIGURED TASKS
setup-versioning Install the 'poetry-dynamic-versioning' plugin to the local 'poetry' installation
docs Generate this package's docs
docserver Use 'pdoc' to launch an HTTP server for this package's docs
lab Run Jupyter Lab
lint Lint this package
test Test this package and report coverage

Reports

bandit
mypy
pytest coverage