Excellent configuration management for Python
Project description
Zirconium
Zirconium is a powerful configuration tool for loading and using configuration in your application.
Key Features
Features
- Support for libraries to provide their own default configuration and/or configuration file locations
- Applications specify their own configuration with
@zirconium.configure
decorator - Automatic replacement of ${ENVIRONMENT_VARIABLES} in strings
- Consistent type coercion for common data types: paths, ints, floats, decimals, dates, and datetimes
- Where dictionary-style declarations are not supported, instead use the dot syntax (e.g. "foo.bar")
- Supports multiple file encodings
- Extensible to other formats as needed
- Configuration is dict-like for ease-of-use in existing locations (e.g. Flask)
- Multiple files can be specified with different weights to control loading order
- Supports default vs. normal configuration file (defaults always loaded first)
- Supports thread-safe injection of the configuration into your application via autoinject
- Supports specifying default configuration for libraries in entry points
zirconium.config
and for parsers inzirconium.parsers
, as well as using the@zirconium.configure
decorator.
Supported configuration methods
- Database tables (with SQLAlchemy installed)
- YAML (with pyyaml installed)
- TOML (with toml installed or Python >= 3.11)
- JSON
- Setuptools-like CFG files
- INI files (following the defaults of the configparser module)
- Environment variables
Priority Order
Later items in this list will override previous items
- Files registered with
register_default_file()
, in ascending order byweight
(or order called) - Files registered with
register_file()
, in ascending order byweight
- Files from environment variables registered with
register_file_from_environ()
, in ascending order byweight
- Values from environment variables registered with
register_environ_var()
Example Usage
import pathlib
import zirconium
from autoinject import injector
@zirconium.configure
def add_config(config):
# Direct load configuration from dict:
config.load_from_dict({
"version": "0.0.1",
"database": {
# Load these from environment variables
"username": "${MYAPP_DATABASE_USERNAME}",
"password": "${MYAPP_DATABASE_PASSWORD}",
},
"escaped_environment_example": "$${NOT_AN_ENVIRONMENT VARIABLE",
"preceding_dollar_sign": "$$${STOCK_PRICE_ENV_VARIABLE}",
})
# Default configuration, relative to this file, will override the above dict
base_file = pathlib.Path(__file__).parent / ".myapp.defaults.toml"
config.register_default_file(base_file)
# File in user home directory, overrides the defaults
config.register_file("~/.myapp.toml")
# File in CWD, will override whatever is in home
config.register_file("./.myapp.toml")
# Load a file path from environment variable, will override ALL registered files
config.register_file_from_environ("MYAPP_CONFIG_FILE")
# Load values direct from the environment, will override ALL files including those specific in environment variables
# sets config["database"]["password"]
config.register_environ_var("MYAPP_DATABASE_PASSWORD", "database", "password")
# sets config["database"]["username"]
config.register_environ_var("MYAPP_DATABASE_USERNAME", "database", "username")
# Injection example
class NeedsConfiguration:
config: zirconium.ApplicationConfig = None
@injector.construct
def __init__(self):
# you have self.config available as of here
pass
Change Log
Version 1.0.0
- Stable release after extensive testing on my own
- Python 3.11's tomllib now supported for parsing TOML files
- Using
pymitter
to manage configuration registration was proving problematic when called from a different thread than where the application config object was instatiated. Replaced it with a more robust solution. - Fixed a bug for registering default files
- Added
as_dict()
to the configuration object which returns an instance ofMutableDeepDict
.
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