Skip to main content

No project description provided

Project description

Envolved

Envolved is a library to make environment variable parsing powerful and effortless.

from envolved import EnvVar

# create an env var with an int value
foo: EnvVar[int] = EnvVar('FOO', type=int, default=0)
value_of_foo = foo.get()  # this method will check for the environment variable FOO, and parse it as an int

# we can also have some more complex parsers
from typing import List, Optional
from envolved.parsers import JsonParser

foo = EnvVar('FOO', type=JsonParser(List[float]))
foo.get()  # now we will parse the value of FOO as a JSON list, and ensure that all its inner values are numbers

# we can also use schemas to combine multiple environment variables
from envolved import Schema
from dataclasses import dataclass


@dataclass
# say we want the environment to describe a ConnectionSetting
class ConnectionSetting:
    host: str
    port: int
    user: Optional[str]
    password: Optional[str]
    
# note that schemas work with any factory or class that annotates its constructor, dataclass is used for simplicity

class ConnectionSettingSchema(Schema, type=ConnectionSetting):
    host = EnvVar('hostname') 
    # we now define an env var inside the schema. Its suffix will be "hostname", and its type will be inferred from the
    # type's annotation
    port = EnvVar()  # if we like the parameter name as the env var suffix, we can leave the env var empty
    user: str = EnvVar('username')  # we can annotate the schema members to override the type inference
    password = EnvVar(type=str, default=None)  # we can set a default to show that the type var may be missing

connection_settings: EnvVar[ConnectionSetting] = EnvVar('service_', type=ConnectionSettingSchema)
service_connection_settings: ConnectionSetting = connection_settings.get() 
# this will look in 4 environment variables:
# host will be extracted from service_hostname
# port will be extracted from service_port, then converted to an int
# user will be extracted from service_username
# password will be extracted from service_password, and will default to None
# finally, ConnectionSetting will be called with the parameters

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

envolved-0.2.0.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

envolved-0.2.0-py3-none-any.whl (13.4 kB view details)

Uploaded Python 3

File details

Details for the file envolved-0.2.0.tar.gz.

File metadata

  • Download URL: envolved-0.2.0.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.6 Linux/5.4.0-1032-azure

File hashes

Hashes for envolved-0.2.0.tar.gz
Algorithm Hash digest
SHA256 95df64acc08f1e664cf3a340ebb62b4d8ebb04f62f6dcd1ec8632199d08b2943
MD5 93f0432edfda67cc460f862d94917262
BLAKE2b-256 52505ce87aaa71854a7520c1144775946373ab3bef280051a71f20e2df2ca761

See more details on using hashes here.

File details

Details for the file envolved-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: envolved-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 13.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.6 Linux/5.4.0-1032-azure

File hashes

Hashes for envolved-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c9541f80bb92221e1b4266e153f3afb750b42a3a439553cf83068fe5bf494341
MD5 016adc62c8bab95b90c19a4ec6b533e1
BLAKE2b-256 ca989f44da92e1acb067224a8ddf7336fe288097bd2d03375e7cb3371599e22e

See more details on using hashes here.

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