Skip to main content

simplified environment variable parsing

Project description

environs: simplified environment variable parsing

Latest version Build Status marshmallow 2/3 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 COORDINATES=23.3,50.0
export LOG_LEVEL=DEBUG

Parse them with environs...

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]

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 keyword argument)
  • env.dict (accepts optional subcast keyword argument)
  • env.json
  • env.datetime
  • env.date
  • env.timedelta (assumes value is an integer in seconds)
  • env.url
  • env.uuid
  • env.log_level
  • env.path (casts to a pathlib.Path)

Reading .env files

# .env
DEBUG=true
PORT=4567

Call Env.read_env before parsing variables.

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

# 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)

Proxied variables

# export MAILGUN_LOGIN=sloria
# export SMTP_LOGIN={{MAILGUN_LOGIN}}

smtp_login = env("SMTP_LOGIN")  # =>'sloria'

Validation

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


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

# using marshmallow validators
from marshmallow.validate import OneOf

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
from marshmallow.validate import Length, Email

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

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

# 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("enum")
def enum_parser(value, choices):
    if value not in choices:
        raise environs.EnvError("Invalid!")
    return value


color = env.enum("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 and env.dj_email_url to parse the DATABASE_URL and EMAIL_URL environment variables, respectively.

# 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"]

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 proxied 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

environs-5.2.0.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

environs-5.2.0-py2.py3-none-any.whl (9.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file environs-5.2.0.tar.gz.

File metadata

  • Download URL: environs-5.2.0.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for environs-5.2.0.tar.gz
Algorithm Hash digest
SHA256 045eb19ebe73604546d0c6c0c050c73c72be34c51c19994856c7b388d9ac3439
MD5 85ca9a15ae5bc6446a6277c94be7e971
BLAKE2b-256 f1ca9e3c8ea417d0b022a92f8dcf23243e0c3d00424fa85fcb3edb2497217d5c

See more details on using hashes here.

Provenance

File details

Details for the file environs-5.2.0-py2.py3-none-any.whl.

File metadata

  • Download URL: environs-5.2.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2

File hashes

Hashes for environs-5.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 59a24b9619e225c0da784ccfd13ae7763a3889bb53eb7e6fb5689290a731183f
MD5 f6bb82f4ef6b10af7fc034991905cc65
BLAKE2b-256 765dc87984ebf2f652d9f38d800c5a29c36808368576563f5ab41f46c5b4c3da

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page