environs is a Python library for parsing environment variables.

Overview

environs: simplified environment variable parsing

Latest version Build Status marshmallow 3 compatible Black code style

environs is a Python library for parsing environment variables. It allows you to store configuration separate from your code, as per The Twelve-Factor App methodology.

Contents

Features

  • Type-casting
  • Read .env files into os.environ (useful for local development)
  • Validation
  • Define custom parser behavior
  • Framework-agnostic, but integrates well with Flask and Django

Install

pip install environs

Basic usage

With some environment variables set...

export GITHUB_USER=sloria
export MAX_CONNECTIONS=100
export SHIP_DATE='1984-06-25'
export TTL=42
export ENABLE_LOGIN=true
export GITHUB_REPOS=webargs,konch,ped
export GITHUB_REPO_PRIORITY="webargs=2,konch=3"
export COORDINATES=23.3,50.0
export LOG_LEVEL=DEBUG

Parse them with environs...

'sloria' secret = env("SECRET") # => raises error if not set # casting max_connections = env.int("MAX_CONNECTIONS") # => 100 ship_date = env.date("SHIP_DATE") # => datetime.date(1984, 6, 25) ttl = env.timedelta("TTL") # => datetime.timedelta(0, 42) log_level = env.log_level("LOG_LEVEL") # => logging.DEBUG # providing a default value enable_login = env.bool("ENABLE_LOGIN", False) # => True enable_feature_x = env.bool("ENABLE_FEATURE_X", False) # => False # parsing lists gh_repos = env.list("GITHUB_REPOS") # => ['webargs', 'konch', 'ped'] coords = env.list("COORDINATES", subcast=float) # => [23.3, 50.0] # parsing dicts gh_repos_priorities = env.dict( "GITHUB_REPO_PRIORITY", subcast_values=int ) # => {'webargs': 2, 'konch': 3}">
from environs import Env

env = Env()
env.read_env()  # read .env file, if it exists
# required variables
gh_user = env("GITHUB_USER")  # => 'sloria'
secret = env("SECRET")  # => raises error if not set

# casting
max_connections = env.int("MAX_CONNECTIONS")  # => 100
ship_date = env.date("SHIP_DATE")  # => datetime.date(1984, 6, 25)
ttl = env.timedelta("TTL")  # => datetime.timedelta(0, 42)
log_level = env.log_level("LOG_LEVEL")  # => logging.DEBUG

# providing a default value
enable_login = env.bool("ENABLE_LOGIN", False)  # => True
enable_feature_x = env.bool("ENABLE_FEATURE_X", False)  # => False

# parsing lists
gh_repos = env.list("GITHUB_REPOS")  # => ['webargs', 'konch', 'ped']
coords = env.list("COORDINATES", subcast=float)  # => [23.3, 50.0]

# parsing dicts
gh_repos_priorities = env.dict(
    "GITHUB_REPO_PRIORITY", subcast_values=int
)  # => {'webargs': 2, 'konch': 3}

Supported types

The following are all type-casting methods of Env:

  • env.str
  • env.bool
  • env.int
  • env.float
  • env.decimal
  • env.list (accepts optional subcast and delimiter keyword arguments)
  • env.dict (accepts optional subcast_keys and subcast_values keyword arguments)
  • env.json
  • env.datetime
  • env.date
  • env.time
  • env.timedelta (assumes value is an integer in seconds)
  • env.url
  • env.uuid
  • env.log_level
  • env.path (casts to a pathlib.Path)
  • env.enum (casts to any given enum type specified in type keyword argument, accepts optional ignore_case keyword argument)

Reading .env files

# .env
DEBUG=true
PORT=4567

Call Env.read_env before parsing variables.

True env.int("PORT") # => 4567">
from environs import Env

env = Env()
# Read .env into os.environ
env.read_env()

env.bool("DEBUG")  # => True
env.int("PORT")  # => 4567

Reading a specific file

By default, Env.read_env will look for a .env file in current directory and (if no .env exists in the CWD) recurse upwards until a .env file is found.

You can also read a specific file:

from environs import Env

with open(".env.test", "w") as fobj:
    fobj.write("A=foo\n")
    fobj.write("B=123\n")

env = Env()
env.read_env(".env.test", recurse=False)

assert env("A") == "foo"
assert env.int("B") == 123

Handling prefixes

'lolcathost' port = env.int("PORT", 5000) # => 3000 # nested prefixes are also supported: # export MYAPP_DB_HOST=lolcathost # export MYAPP_DB_PORT=10101 with env.prefixed("MYAPP_"): with env.prefixed("DB_"): db_host = env("HOST", "lolcathost") db_port = env.int("PORT", 10101)">
# export MYAPP_HOST=lolcathost
# export MYAPP_PORT=3000

with env.prefixed("MYAPP_"):
    host = env("HOST", "localhost")  # => 'lolcathost'
    port = env.int("PORT", 5000)  # => 3000

# nested prefixes are also supported:

# export MYAPP_DB_HOST=lolcathost
# export MYAPP_DB_PORT=10101

with env.prefixed("MYAPP_"):
    with env.prefixed("DB_"):
        db_host = env("HOST", "lolcathost")
        db_port = env.int("PORT", 10101)

Variable expansion

'https://sloria:[email protected]' year = env.int("YEAR") # =>2020">
# export CONNECTION_URL=https://${USER:-sloria}:${PASSWORD}@${HOST:-localhost}/
# export PASSWORD=secret
# export YEAR=${CURRENT_YEAR:-2020}

from environs import Env

env = Env(expand_vars=True)

connection_url = env("CONNECTION_URL")  # =>'https://sloria:[email protected]'
year = env.int("YEAR")  # =>2020

Validation

0) # => Environment variable "TTL" invalid: ['Invalid value.'] # using marshmallow validators env.str( "NODE_ENV", validate=OneOf( ["production", "development"], error="NODE_ENV must be one of: {choices}" ), ) # => Environment variable "NODE_ENV" invalid: ['NODE_ENV must be one of: production, development'] # multiple validators env.str("EMAIL", validate=[Length(min=4), Email()]) # => Environment variable "EMAIL" invalid: ['Shorter than minimum length 4.', 'Not a valid email address.']">
# export TTL=-2
# export NODE_ENV='invalid'
# export EMAIL='^_^'

from environs import Env
from marshmallow.validate import OneOf, Length, Email

env = Env()

# simple validator
env.int("TTL", validate=lambda n: n > 0)
# => Environment variable "TTL" invalid: ['Invalid value.']


# using marshmallow validators
env.str(
    "NODE_ENV",
    validate=OneOf(
        ["production", "development"], error="NODE_ENV must be one of: {choices}"
    ),
)
# => Environment variable "NODE_ENV" invalid: ['NODE_ENV must be one of: production, development']

# multiple validators
env.str("EMAIL", validate=[Length(min=4), Email()])
# => Environment variable "EMAIL" invalid: ['Shorter than minimum length 4.', 'Not a valid email address.']

Deferred validation

By default, a validation error is raised immediately upon calling a parser method for an invalid environment variable. To defer validation and raise an exception with the combined error messages for all invalid variables, pass eager=False to Env. Call env.seal() after all variables have been parsed.

# export TTL=-2
# export NODE_ENV='invalid'
# export EMAIL='^_^'

from environs import Env
from marshmallow.validate import OneOf, Email, Length, Range

env = Env(eager=False)

TTL = env.int("TTL", validate=Range(min=0, max=100))
NODE_ENV = env.str(
    "NODE_ENV",
    validate=OneOf(
        ["production", "development"], error="NODE_ENV must be one of: {choices}"
    ),
)
EMAIL = env.str("EMAIL", validate=[Length(min=4), Email()])

env.seal()
# environs.EnvValidationError: Environment variables invalid: {'TTL': ['Must be greater than or equal to 0 and less than or equal to 100.'], 'NODE_ENV': ['NODE_ENV must be one of: production, development'], 'EMAIL': ['Shorter than minimum length 4.', 'Not a valid email address.']}

env.seal() validates all parsed variables and prevents further parsing (calling a parser method will raise an error).

Serialization

# serialize to a dictionary of simple types (numbers and strings)
env.dump()
# {'COORDINATES': [23.3, 50.0],
# 'ENABLE_FEATURE_X': False,
# 'ENABLE_LOGIN': True,
# 'GITHUB_REPOS': ['webargs', 'konch', 'ped'],
# 'GITHUB_USER': 'sloria',
# 'MAX_CONNECTIONS': 100,
# 'MYAPP_HOST': 'lolcathost',
# 'MYAPP_PORT': 3000,
# 'SHIP_DATE': '1984-06-25',
# 'TTL': 42}

Defining custom parser behavior

furl('https://myapp.com') # Custom parsers can take extra keyword arguments @env.parser_for("choice") def choice_parser(value, choices): if value not in choices: raise environs.EnvError("Invalid!") return value color = env.choice("COLOR", choices=["black"]) # => raises EnvError">
# export DOMAIN='http://myapp.com'
# export COLOR=invalid

from furl import furl

# Register a new parser method for paths
@env.parser_for("furl")
def furl_parser(value):
    return furl(value)


domain = env.furl("DOMAIN")  # => furl('https://myapp.com')


# Custom parsers can take extra keyword arguments
@env.parser_for("choice")
def choice_parser(value, choices):
    if value not in choices:
        raise environs.EnvError("Invalid!")
    return value


color = env.choice("COLOR", choices=["black"])  # => raises EnvError

Usage with Flask

# myapp/settings.py

from environs import Env

env = Env()
env.read_env()

# Override in .env for local development
DEBUG = env.bool("FLASK_DEBUG", default=False)
# SECRET_KEY is required
SECRET_KEY = env.str("SECRET_KEY")

Load the configuration after you initialize your app.

# myapp/app.py

from flask import Flask

app = Flask(__name__)
app.config.from_object("myapp.settings")

For local development, use a .env file to override the default configuration.

# .env
DEBUG=true
SECRET_KEY="not so secret"

Note: Because environs depends on python-dotenv, the flask CLI will automatically read .env and .flaskenv files.

Usage with Django

environs includes a number of helpers for parsing connection URLs. To install environs with django support:

pip install environs[django]

Use env.dj_db_url, env.dj_cache_url and env.dj_email_url to parse the DATABASE_URL, CACHE_URL and EMAIL_URL environment variables, respectively.

For more details on URL patterns, see the following projects that environs is using for converting URLs.

Basic example:

# myproject/settings.py
from environs import Env

env = Env()
env.read_env()

# Override in .env for local development
DEBUG = env.bool("DEBUG", default=False)
# SECRET_KEY is required
SECRET_KEY = env.str("SECRET_KEY")

# Parse database URLs, e.g.  "postgres://localhost:5432/mydb"
DATABASES = {"default": env.dj_db_url("DATABASE_URL")}

# Parse email URLs, e.g. "smtp://"
email = env.dj_email_url("EMAIL_URL", default="smtp://")
EMAIL_HOST = email["EMAIL_HOST"]
EMAIL_PORT = email["EMAIL_PORT"]
EMAIL_HOST_PASSWORD = email["EMAIL_HOST_PASSWORD"]
EMAIL_HOST_USER = email["EMAIL_HOST_USER"]
EMAIL_USE_TLS = email["EMAIL_USE_TLS"]

# Parse cache URLS, e.g "redis://localhost:6379/0"
CACHES = {"default": env.dj_cache_url("CACHE_URL")}

For local development, use a .env file to override the default configuration.

# .env
DEBUG=true
SECRET_KEY="not so secret"

For a more complete example, see django_example.py in the examples/ directory.

Why...?

Why envvars?

See The 12-factor App section on configuration.

Why not os.environ?

While os.environ is enough for simple use cases, a typical application will need a way to manipulate and validate raw environment variables. environs abstracts common tasks for handling environment variables.

environs will help you

  • cast envvars to the correct type
  • specify required envvars
  • define default values
  • validate envvars
  • parse list and dict values
  • parse dates, datetimes, and timedeltas
  • parse expanded variables
  • serialize your configuration to JSON, YAML, etc.

Why another library?

There are many great Python libraries for parsing environment variables. In fact, most of the credit for environs' public API goes to the authors of envparse and django-environ.

environs aims to meet three additional goals:

  1. Make it easy to extend parsing behavior and develop plugins.
  2. Leverage the deserialization and validation functionality provided by a separate library (marshmallow).
  3. Clean up redundant API.

See this GitHub issue which details specific differences with envparse.

License

MIT licensed. See the LICENSE file for more details.

Owner
Steven Loria
Always a student, forever a junior developer
Steven Loria
Read configuration settings from python configuration files.

Maison Read configuration settings from python configuration files. Motivation When developing a python application, e.g a command-line tool, it can b

9 Jan 04, 2023
Dag-bakery - Dag Bakery enables the capability to define Airflow DAGs via YAML.

DAG Bakery - WIP 🔧 dag-bakery aims to simplify our DAG development by removing all the boilerplate and duplicated code when defining multiple DAG cro

Typeform 2 Jan 08, 2022
Apt2sbom python package generates SPDX or YAML files

Welcome to apt2sbom This package contains a library and a CLI tool to convert a Ubuntu software package inventory to a software bill of materials. You

Eliot Lear 15 Nov 13, 2022
A helper for organizing Django project settings by relying on well established programming patterns.

django-configurations django-configurations eases Django project configuration by relying on the composability of Python classes. It extends the notio

Jazzband 955 Jan 05, 2023
Tools to assist with the configuration and maintenance of fapolicyd.

Tools to assist with the configuration and maintenance of fapolicyd.

Concurrent Technologies Corporation (CTC) 7 Dec 27, 2022
A set of Python scripts and notebooks to help administer and configure Workforce projects.

Workforce Scripts A set of Python scripts and notebooks to help administer and configure Workforce projects. Notebooks Several example Jupyter noteboo

Esri 75 Sep 09, 2022
Simple dataclasses configuration management for Python with hocon/json/yaml/properties/env-vars/dict support.

Simple dataclasses configuration management for Python with hocon/json/yaml/properties/env-vars/dict support, based on awesome and lightweight pyhocon parsing library.

Teo Stocco 62 Dec 23, 2022
🤫 Easily manage configs and secrets in your Python projects (with CLI support)

Installation pip install confidential How does it work? Confidential manages secrets for your project, using AWS Secrets Manager. First, store a secr

Candid™️ 63 Oct 30, 2022
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.

Django-environ django-environ allows you to use Twelve-factor methodology to configure your Django application with environment variables. import envi

Daniele Faraglia 2.7k Jan 03, 2023
A YAML validator for Programming Historian lessons.

phyaml A simple YAML validator for Programming Historian lessons. USAGE: python3 ph-lesson-yaml-validator.py lesson.md The script automatically detect

Riva Quiroga 1 Nov 07, 2021
Scooch Configures Object Oriented Class Hierarchies for python

Scooch Scooch Configures Object Oriented Class Hierarchies for python. A good place to start with Scooch is at the documentation found here. Scooch is

Pandora Media, Inc. 6 Dec 20, 2022
Secsie is a configuration language made for speed, beauty, and ease of use.

secsie-conf pip3 install secsie-conf Secsie is a configuration language parser for Python, made for speed and beauty. Instead of writing config files

Noah Broyles 3 Feb 19, 2022
Event Coding for the HV Protocol MEG datasets

Scripts for QA and trigger preprocessing of NIMH HV Protocol Install pip install git+https://github.com/nih-megcore/hv_proc Usage hv_process.py will

2 Nov 14, 2022
Yamale (ya·ma·lē) - A schema and validator for YAML.

Yamale (ya·ma·lē) ⚠️ Ensure that your schema definitions come from internal or trusted sources. Yamale does not protect against intentionally maliciou

23andMe 534 Dec 21, 2022
Pyleri is an easy-to-use parser created for SiriDB

Python Left-Right Parser Pyleri is an easy-to-use parser created for SiriDB. We first used lrparsing and wrote jsleri for auto-completion and suggesti

Cesbit 106 Dec 06, 2022
Generate config files and qr codes for wireguard vpn

wireguard config generator for python Generate config files and qr codes for wireguard vpn You will need to install qrcode and pillow in python and yo

18 Dec 02, 2022
KConfig Browser is a graphical application which allows you to modify KDE configuration files found in ~/.config

kconfig_browser KConfig Browser is a graphical application which allows you to modify KDE configuration files found in ~/.config Screenshot Why I crea

11 Sep 15, 2022
Strict separation of config from code.

Python Decouple: Strict separation of settings from code Decouple helps you to organize your settings so that you can change parameters without having

Henrique Bastos 2.3k Dec 30, 2022
An application pulls configuration information from JSON files generated

AP Provisioning Automation An application pulls configuration information from JSON files generated by Ekahau and then uses Netmiko to configure the l

Cisco GVE DevNet Team 1 Dec 17, 2021
A compact library for Python 3.10x that allows users to configure their SimPads real-time

SimpadLib v1.0.6 What is this? This is a python library programmed by Ashe Muller that allows users to interface directly with their SimPad devices, a

Ashe Muller 2 Jan 08, 2022