Simple YAML configuration file parser with easy access for structured data
Project description
EnvYAML |
Simple YAML configuration file parser with easy access for structured data
Why
Modern configuration file become to be more and more complex, flexible and readable. YAML file format are perfect to store configuration, but had no option to pass environment variables. They give flexibility, readability and provide option to store complex data structure. This project aim to simplify usage of the YAML file and environment variables as program configuration file with easy config key access.
Install
pip install envyaml
Basic usage
Let's assume we had a project with this config file env.yaml
# env.yaml
project:
name: "${PROJECT_NAME}-${PROJECT_ID}"
database:
host: $DATABASE_HOST
port: 3301
username: username
password: $DATABASE_PASSWORD
database: test
table:
user: table_user
blog: table_blog
query: |-
SELECT * FROM "users" WHERE "user" = $1 AND "login" = $2 AND "pwd" = $3
insert: |-
INSERT INTO "{table}" (user, login) VALUES ($1, $2)
redis:
host: $REDIS_HOST|127.0.0.1
port: 5040
db: $REDIS_DB|3 # with default value
config:
expire: 300
prefix: $REDIS_PREFIX
empty_env: $NOT_EXIST_ENV_VARIABLE
Environment variables set to
PROJECT_NAME=simple-hello
PROJECT_ID=42
DATABASE_HOST=xxx.xxx.xxx.xxx
DATABASE_PASSWORD=super-secret-password
REDIS_PREFIX=state
Parse file with EnvYAML
from envyaml import EnvYAML
# read file env.yaml and parse config
env = EnvYAML('env.yaml')
# access project name
print(env['project.name'])
# >> simple-hello-42
# access whole database section
print(env['database'])
# {
# 'database': 'test',
# 'host': 'xxx.xxx.xxx.xxx',
# 'password': 'super-secret-password',
# 'port': 3301,
# 'table':
# {
# 'blog': 'table_blog',
# 'user': 'table_user'
# },
# 'username': 'username'
# }
# access database host value as key item
print(env['database.host'])
# >> xxx.xxx.xxx.xxx
# access database user table value as key item
print(env['database.table.user'])
# >> table_user
# get sql query with $1,$2,$3 variables
print(env['database.query'])
# >> SELECT * FROM "users" WHERE "user" = $1 AND "login" = $2 AND "pwd" = $3
# using default values if variable not defined
# one example is redis host and redis port, when $REDIS_HOST not set then default value will be used
print(env['redis.host'])
# >> 127.0.0.1
# one example is redis host and redis port, when $REDIS_DB not set then default value will be used
print(env['redis.db'])
# >> 3
# access list items by number
print(env['list_test'][0])
# >> one
# access list items by number as key
print(env['list_test.1'])
# >> two
# test if you have key
print('redis.port' in env)
# >> True
Access config with get
function and default value
print(env.get('not.exist.value', 'default'))
# >> default
print(env.get('empty_env', 'default'))
# >> default
print(env['empty_env'])
# >> None
Use format
function to update placeholder
print(env.format('database.insert', table="users"))
# >> INSERT INTO "users" (user, login) VALUES ($1, $2)
Strict mode
This mode is enable by default and prevent from declaring variables that
not exist in environment variables
or .env
file. This leads to have runtime ValueError exception when variables
not define with message Strict mode enabled, variable $VAR not defined!
. To disable strict mode
specify strict=False
to EnvYAML object
License
MIT licensed. See the LICENSE file for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for envyaml-1.1.201202-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1182296dc9ec92d01a08d954b10268a303d40fe824cf01f5243e686bb26110a9 |
|
MD5 | ed56ea7573162670918a432f89f769b9 |
|
BLAKE2b-256 | a5804031d791ee2d479cc9f1f5ea73d6986bf434119cd7fe8aaa1304143e77ab |