Environment variables parsing and validation using python type hints
Project description
Envarify
Environment variables parsing and validation using python type hints
Usage
Having some environment variables:
export TIMEOUT_S=2.5
export API_KEY=some_key
export ALLOWED_IDS=1,2,3
export ENABLE_FEATURE=true
We can create a config object in Python:
from envarify import BaseConfig, EnvVar
class MyConfig(BaseConfig):
timeout_s: float = EnvVar("TIMEOUT_S")
api_key: str = EnvVar("API_KEY")
allowed_ids: set[int] = EnvVar("ALLOWED_IDS")
enable_feature: bool = EnvVar("ENABLE_FEATURE", default=False)
config = MyConfig.fromenv()
print(config)
#> MyConfig(timeout_s=2.5, api_key="some_key", allowed_ids={1,2,3}, enable_feature=True)
Missing environment variables
If there are some required environment variables that are not set, error will be raised:
config = MyConfig.fromenv()
#> MissingEnvVarsError: TIMEOUT_S, API_KEY, ALLOWED_IDS
Testing
In unit tests for your application you don't have to worry about mocking the environment variables. Instead just create a mock config object:
mock_config = MyConfig(timeout_s=4.2, api_key="dummy", allowed_ids={1,2,3}, enable_feature=True)
Supported Types
-
Primitive types
int
float
bool
str
-
Dictionary
dict
type reads environmental variable as JSON -
Sequences
list[T]
set[T]
tuple[T]
where
T
is any primitive type
Project details
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envarify-1.0.0.tar.gz
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