Load toml/yaml/json config files into classes for a typed config (type hinting etc.)
Project description
Configuraptor
Table of Contents
Installation
pip install configuraptor
Usage
Configuraptor can be used to load your config files into structured Python classes.
# examples/example_from_readme.toml
[config]
name = "Hello World!"
[config.reference]
number = 42
numbers = [41, 43]
string = "42"
Could be loaded into Python classes using the following code:
# examples/example_from_readme.py
from configuraptor import load_into, TypedConfig
######################
# with basic classes #
######################
class SomeRegularClass:
number: int
numbers: list[int]
string: str
class Config:
name: str
reference: SomeRegularClass
if __name__ == '__main__':
my_config = load_into(Config, "example_from_readme.toml") # or .json, .yaml
print(my_config.name)
# Hello World!
print(my_config.reference.numbers)
# [41, 43]
########################
# alternative notation #
########################
class SomeOtherRegularClass:
number: int
numbers: list[int]
string: str
class OtherConfig(TypedConfig):
name: str
reference: SomeRegularClass
if __name__ == '__main__':
my_config = OtherConfig.load("example_from_readme.toml") # or .json, .yaml
print(my_config.name)
# Hello World!
print(my_config.reference.numbers)
# [41, 43]
# TypedConfig has an extra benefit of allowing .update:
my_config.update(numbers=[68, 70])
The second argument of .load_into
and the first argument of .load
(which is "example_from_readme.toml"
in the
examples above), can be either a string or a Path to a file, a raw dictionary with data or empty.
If it is left empty, the pyproject.toml
will be used. You can supply a key='tool.mytool.myconf'
to specify which
section of the file should be read.
More examples can be found in examples.
Supported Config File Types
.toml
: supports the most types (strings, numbers, booleans, datetime, lists/arrays, dicts/tables);.json
: supports roughly the same types as toml (except datetime);.yaml
: supports roughly the same types as toml, backwards compatible with JSON;.env
: only supports strings. You can useconvert_types=True
to try to convert to your annotated types;.ini
: only supports strings. You can useconvert_types=True
to try to convert to your annotated types;
For other file types, a custom Loader can be written. See examples/readme.md#Custom File Types
License
configuraptor
is distributed under the terms of the MIT license.
Changelog
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
File details
Details for the file configuraptor-1.16.0.tar.gz
.
File metadata
- Download URL: configuraptor-1.16.0.tar.gz
- Upload date:
- Size: 541.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.24.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43002551586ce697735c5ff266b129aea4c34265401f5bf7f988f3a5362e7be4 |
|
MD5 | 9d4cc4f665f2e2046072600aba889e9a |
|
BLAKE2b-256 | 66edb49d5c38de21460f6184abf144d2f65cd0e63d033d96ceea09f046d1cec8 |
File details
Details for the file configuraptor-1.16.0-py3-none-any.whl
.
File metadata
- Download URL: configuraptor-1.16.0-py3-none-any.whl
- Upload date:
- Size: 20.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.24.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 74ea9cf2fc4fa82a60b0c99e2088f8dd74e66f32fc36c86bc75bfb55497fe2e7 |
|
MD5 | 23f3c531e86300f871f50a719907429c |
|
BLAKE2b-256 | 6578563d89d51fd9101751a60d727e54e496c6b57f39285f61f8d9bc05bbd816 |