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Load YAML configs with environment variables interpolation

Project description

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Build Codecov Black Formatter PyPI - Python Version MIT License

Piny is YAML config loader with environment variables interpolation for Python.

Keep your app’s configuration in a YAML file. Mark up sensitive data in the config as environment variables. Set environment variables on application deployment. Now let the Piny load your config and interpolate environment variables in it.

Piny is developed with Docker and Kubernetes in mind, though it’s not limited to any deployment system.

Rationale

Piny combines readability and versioning you get when using config files, and security that environment variables provide. Read more about this approach in the blog post.

Help

See documentation for more details.

Installation

Just run:

pip install -U piny

Usage

Set your environment variables, add them to your YAML configuration file:

db:
  login: user
  password: ${DB_PASSWORD}
mail:
  login: user
  password: ${MAIL_PASSWORD:-my_default_password}
sentry:
  dsn: ${VAR_NOT_SET}

Then load your config:

from piny import YamlLoader

config = YamlLoader(path="config.yaml").load()
print(config)
# {'db': {'login': 'user', 'password': 'my_db_password'},
# 'mail': {'login': 'user', 'password': 'my_default_password'},
# 'sentry': {'dsn': None}}

You may want to discourage Bash-style envs with defaults in your configs. In such case, use a StrictMatcher:

from piny import YamlLoader, StrictMatcher

config = YamlLoader(path="config.yaml", matcher=StrictMatcher).load()

Both strict and default matchers produce None value if environment variable matched is not set in the system (and no default syntax used in the case of default matcher).

Validation

Piny supports optional data validation using third-party libraries: Marshmallow, Pydantic, Trafaret.

import marshmallow as ma
from piny import MarshmallowValidator, StrictMatcher, YamlLoader

class DBSchema(ma.Schema):
    login = ma.fields.String(required=True)
    password = ma.fields.String()

class ConfigSchema(ma.Schema):
    db = ma.fields.Nested(DBSchema)

config = YamlLoader(
    path="database.yaml",
    matcher=StrictMatcher,
    validator=MarshmallowValidator,
    schema=ConfigSchema,
    strict=True
).load(many=False)

Exceptions

LoadingError is thrown when something goes wrong with reading or parsing YAML-file. ValidationError is a wrapper for exceptions raised by the libraries for optional data validation. Original exception can be accessed by origin attribute. It comes in handy when you need more than just an original exception message (e.g. a dictionary of validation errors).

Both exceptions inherit from the ConfigError.

Best practices

  • Maintain a healthy security/convenience balance for your config

  • Mark up entity as an environment variable in your YAML if and only if it really is a secret (login/passwords, private API keys, crypto keys, certificates, or maybe DB hostname too? You decide)

  • When loading config file, validate your data. Piny supports a few popular data validation tools.

  • Store your config files in the version control system along with your app’s code.

  • Environment variables are set by whoever is responsible for the deployment. Modern orchestration systems like Kubernetes make it easier to keep envs secure (see Kubernetes Secrets).

Fun facts

Piny is a recursive acronym for Piny Is Not YAML. Not only it’s a library name, but also a name for YAML marked up with environment variables.

Contributing

See CONTRIBUTING.rst.

Changelog

v0.5.2 (2019-06-17)

  • Fix Help section in README.rst (#31) by @pilosus

  • Fix Sphinx release variable (#30) by @pilosus

v0.5.1 (2019-06-17)

  • Fix Sphinx config, fix README.rst image markup (#28) by @pilosus

v0.5.0 (2019-06-17)

  • Sphinx documentation added (#12) by @pilosus

  • Piny artwork added (#6) by Daria Runenkova and @pilosus

v0.4.2 (2019-06-17)

  • Rename parent exception PinyError to ConfigError (#18) by @pilosus

  • Add feature request template for GitHub Issues (#20) by @pilosus

v0.4.1 (2019-06-17)

  • Issue and PR templates added, minor docs fixes (#16) by @pilosus

v0.4.0 (2019-06-16)

  • Data validators support added for Pydantic, Marshmallow (#2) by @pilosus

  • CONTRIBUTING.rst added (#4) by @pilosus

v0.3.1 (2019-06-09)

  • Minor RST syntax fix in README.rst (#9) by @pilosus

v0.3.0 (2019-06-09)

  • README.rst extended with Rationale and Best practices sections (#5) by @pilosus

v0.2.0 (2019-06-09)

  • StrictMatcher added (#3) by @pilosus

v0.1.1 (2019-06-07)

  • CI/CD config minor tweaks

  • README updated

v0.1.0 (2019-06-07)

  • YamlLoader added

  • Makefile added

  • CI/CD minimal pipeline added

v0.0.1 (2019-06-07)

  • Start the project

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