typed-configparser 1.1.0

A typed configparser

typed-configparser

typed-configparser is an extension of the standard configparser module with support for typed configurations using dataclasses. It leverages Python's type hints and dataclasses to provide a convenient way of parsing and validating configuration files.

Features

✓ Fully typed.
✓ Use dataclasses to parse the configuration file.
✓ Support for almost all python built-in data types - int, float, str, list, tuple, dict and complex data types using Union and Optional.
✓ Supports almost all features of dataclasses including field level init flag, post_init method, InitVars and more.
✓ Built on top of configparser, hence retains all functionalities of configparser.
✓ Support for optional values (optional values are automatically set to None if not provided).
✓ Smarter defaults (see below).

Installation

You can install typed_configparser using pip:

pip install typed-configparser

Usage

examples/basic.py

# This is a complete example and should work as is

from typing import List
from typed_configparser import ConfigParser
from dataclasses import dataclass


@dataclass
class BASIC:
    option1: int
    option2: str
    option3: float
    option4: List[str]


config = """
[BASIC]
option1 = 10
option2 = value2
option3 = 5.2
option4 = [foo,bar]
"""

parser = ConfigParser()
parser.read_string(config)
section = parser.parse_section(using_dataclass=BASIC)

print(section)

BASIC(option1=10, option2=value2, option3=5.2, option4=['foo', 'bar'])

examples/unions_and_optionals.py

# This is a complete example and should work as is

from typing import List, Union, Optional, Dict, Tuple
from typed_configparser import ConfigParser
from dataclasses import dataclass, field


@dataclass
class DEFAULT_EXAMPLE:
    option1: int
    option2: Union[List[Tuple[str, str]], List[int]]
    option3: Dict[str, str] = field(default_factory=lambda: {"default_key": "default_value"})
    option4: Optional[float] = None


config = """
[DEFAULT]
option1 = 20
option2 = default_value2

[MY_SECTION_1]
option2 = [10,20]
option4 = 5.2

[MY_SECTION_2]
option2 = [(value2a, value2b), (value2c, value2b), (value2c, value2d)]
option3 = {key: value}
option4 = none
"""

parser = ConfigParser()
parser.read_string(config)
my_section_1 = parser.parse_section(using_dataclass=DEFAULT_EXAMPLE, section_name="MY_SECTION_1")
my_section_2 = parser.parse_section(using_dataclass=DEFAULT_EXAMPLE, section_name="MY_SECTION_2")

print(my_section_1)
print(my_section_2)

DEFAULT_EXAMPLE(option1=20, option2=[10, 20], option3={'default_key': 'default_value'}, option4=5.2)
DEFAULT_EXAMPLE(option1=20, option2=[('value2a', 'value2b'), ('value2c', 'value2b'), ('value2c', 'value2d')], option3={'key': 'value'}, option4=None)

Check example directory for more examples.

Defaults

• configparser includes sensible defaults options which allows you to declare a [DEFAULT] section in the config file for fallback values.
• typed_configparser goes a step further and allows you to set a final (last) level of defaults at dataclass level.

License

MIT License

Contribution

If you are interested in contributing to typed_configparser, please take a look at the contributing guidelines.