Simple util to get environment variables in the right data type.
Project description
Easy Environment Variables
An easier way to use environment variables with the correct typecasting in Python.
Since environment variables can only be strings, it usually means we need loads of related variables or weird casting in our code. Without easy_env_var that would look something like this
CACHE_KEY=default
CACHE_BACKEND=redis_cache.RedisCache
CACHE_LOCATION=redis://localhost:6379/3
DEBUG=true
TIMEOUT=1000
import os
CACHES = {
os.environ.get("CACHE_KEY", "default"): {
"BACKEND": os.environ["CACHE_BACKEND"],
"LOCATION": os.environ["CACHE_LOCATION"],
}
}
DEBUG = os.environ.get("DEBUG", "false") == "false"
TIMEOUT = int(os.environ.get("TIMEOUT", "300"))
With easy_env_var it is as simple as
CACHES = {"default": {"BACKEND": redis_cache.RedisCache, "LOCATION": redis://localhost:6379/3}}
DEBUG=true
TIMEOUT=1000
from easy_env_var import env
CACHES = env("CACHE", expected_type=dict)
DEBUG = env("DEBUG", expected_type=bool, default=False)
TIMEOUT = env("TIMEOUT", expected_type=int, default=300)
Installation
Simply install using pip by running
pip install easy_env_var
For Python 3.7 you will also need typed-ast which should automatically be installed. For Python 3.8 and above it is not needed.
Usage
from easy_env_var import env
FOO = env("foo") # get the environment variable named foo
BAR = env("bar", expected_type=float) # cast to the correct data type
try:
BAZ = env("baz")
except KeyError:
BAZ = "Not Set"
# or simply pass a default
QUX = env("qux", default="The default value")
Supported data types
Environment variables can be parsed to the following data types:
- str (this is the default type)
- int
- float
- bool (works with case-insensitive values of True & False)
- Decimal
- list
- dict (the keys need to always be strings)
Sets and tuples are not supported since using lists is good enough for most use cases.
Why easy_env_var?
We wanted to call it easy_env but that's an existing package.
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