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Runch: refined munch. With generic typing support.

Project description

Runch

Refined munch. Provides basic munch functionality with additional generic typing support and runtime validation.

Installation

pip install runch

Usage

from runch import RunchModel, RunchConfigReader

class ExampleConfig(RunchModel):
    db_host: str
    db_port: int
    db_user: str
    db_password: str
    db_name: str

# Read config from file.                 ↓ square brackets
example_config_reader = RunchConfigReader[ExampleConfig](
#                                         ^^^^^^^^^^^^^ Config model class name
    config_name="example_config_file",  # without extension
    config_dir="example_config_dir",    # default is os.environ.get("RUNCH_CONFIG_DIR", "./etc")
    config_ext="yaml"                   # default is "yaml"
    config_encoding="utf-8"             # default is "utf-8"
)
example_config = example_config_reader.read()

print(example_config.config.db_host)  # with awesome intellicode support & runtime validation!
$ touch example_config_dir/example_config_file.yaml
db_host: localhost
db_port: 5432
db_user: user
db_password: password
db_name: database

Supported File Formats

  • YAML
  • JSON
  • TOML
  • arbitrary file formats with custom reader, specified via the custom_config_loader param of RunchConfigReader.__init__(). The custom reader should be a callable that takes a str-type file content and returns a dictionary.

Model Generator

$ python -m runch <config_name> [config_ext]

Manual:

Generate a model definition from a config file.

config_name: the name of the config file without the extension.
config_ext: the extension of the config file. Default is `yaml`.

Use RUNCH_CONFIG_DIR environment variable to specify the directory of the config files. Default is `./etc`.

Example:
    python -m runch my_config
    python -m runch my_config yaml

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