Dynamic Config Class Creation using Environment Variables
Project description
LAZY_ENV_CONFIGURATOR
A utility library for Dynamic Config class generation. Now no more repeated boilerplate code...
Before lazy_env_configurator, config classes used to be created as below.
class BaseConfig:
APP = os.environ.get("APP")
APP_ENV = os.environ.get("APP_ENV")
# authentication related configuration
# DB Credentials
DB_USERNAME = os.environ.get("DB_USERNAME")
DB_PASSWORD = os.environ.get("DB_PASSWORD")
DB_HOST = os.environ.get("DB_HOST")
DB_PORT = os.environ.get("DB_PORT")
DB_NAME = os.environ.get("DB_NAME")
DB_DRIVER = os.environ.get("DB_DRIVER")
This use to require a lot of boiler plate and redundant code With lazy_env_configurator this can be reduced to below:
from lazy_env_configurator import BaseEnv, BaseConfig as Config_
class BaseConfig(BaseEnv):
class Config(Config_):
envs = ('APP',
'APP_ENV',
'DB_USERNAME',
'DB_PASSWORD',
'DB_PASSWORD',
'DB_HOST',
# defaults
('DB_PORT',3306),
'DB_NAME',
'DB_DRIVER'
)
Benefits of using lazy_env_configurator over Normal classes
- Low memory footprint.
- Lazily evaluates environment variable and only loads them when used.
- Once loaded, env variables are cached.
- Get defaults populated, in case of missing
envvariables. - env attributes can be overridden easily.
- classes expose
instanceattribute preventing need to initialization and making it behave singleton. - Loads
.envfiles by default so you only need to focus on essentials. - Self Contained Objects if you do not want to sanatise global env variables.
containedattribute.
Components
-
BaseConfig: Main Config class for library. This changes behavior of the container class.envs:ListorTupleofenvvariable to be populated as attributes in container class. Elements of iterable can be astringortuplewith first element as attribute name and second asdefault, second element Defaults toNone. Eg:
class Config(Config_): envs = ('APP', 'APP_ENV', 'DB_USERNAME', 'DB_PASSWORD', 'DB_PASSWORD', 'DB_HOST', # defaults ('DB_PORT',3306), 'DB_NAME', 'DB_DRIVER' )
dot_env_path: Path to.envfile. This can be a string orpathlib.Pathobject. defaults toNone. Eg:
class Config(Config_): dot_env_path = Path(__file__).parent/'.env'
contained: This variable is responsible for behaviour of the container. If this is set toFalse, all theenvvariables read from.envfile would be populated toos.environand available globally. If this is set toTrue, environment variables would only be contained in the container itself. This would help to create configuration containers with different env settings. Itcontainedis set to true and no.envfile is present, it raisesEnvWarningand fallback to Environment variables. Eg:
class Config(BaseConfig): envs = ("FOO", "APP") dot_env_path = Path(__file__).parent / ".env.contained" contained = True
-
BaseEnv: This class will be used as aBase Classfor all the containers. It usesEnvMetaas metaclass to populateenvvariables as attributes on Container Class. Eg:from lazy_env_configurator import BaseEnv, BaseConfig as Config_ class BaseConfig(BaseEnv): class Config(Config_): envs = ('APP', 'APP_ENV', 'DB_USERNAME', 'DB_PASSWORD', 'DB_PASSWORD', 'DB_HOST', # defaults ('DB_PORT',3306), 'DB_NAME', 'DB_DRIVER' )
Note:
Configclass is optional. If not provided, it will not load any env variables.Configclass won't be available as an attribute on the child class. -
EnvMeta: Metaclass for populating env variables as class attributes to the child class. if the child class has a Config class, it will be used to populate the env variables.by default, the env variables are populated on first access and cached for subsequent access. This can be overriden by setting the value on the instance.
if the env variable is not set, it uses the default value provided.
This class also initializes the instance of the child class and make it available as
instanceattribute on the child class. So it can be accessed asChildClass.instance.Example: class ABC(BaseEnv): def generate_uri(self): return f'{self.DB_HOST}:{self.DB_PORT}' class Config(BaseConfig): envs = ('dev', ('test', 'test_value'), 'prd', 'DB_HOST', 'DB_PORT') dot_env_path = Path(__file__).parent / '.env.test' >>> # access env variables >>> ABC.instance.dev >>> ABC.instance.test >>> ABC.instance.prd
How to use
Let us refer below example:
from lazy_env_configurator import BaseEnv, BaseConfig as Config_
class BaseConfig(BaseEnv):
class Config(Config_):
envs = ('APP',
'APP_ENV',
'DB_USERNAME',
'DB_PASSWORD',
'DB_PASSWORD',
'DB_HOST',
# defaults
('DB_PORT',3306),
'DB_NAME',
'DB_DRIVER'
)
We can now use BaseConfig class create as below.
>>> BaseConfig.instance.APP
Every class, subclassed from BaseEnv would expose .instance attribute which will be instance of the subclass. This instance can be used to access all the attributes on the class.
For simplicity,
metaclasspre-initialises created class, so to make it behave as singleton.
How this works ?
lazy_env_configurator uses descriptors under the hood to dynamically populate env variables as attributes, thus making them available on demand, Lazily.
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