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A python library for handling code-declared and file-defined settings.

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Badger_Config_Handler

A python library for handling code-declared and file-defined settings.

Supports saving to JSON and YAML files.

Installation

Install from PyPi

pip install badger-config-handler

Rules and limitations

  1. settings are declared in the class and defined in setup()
  2. settings MUST be declared with a type hint. example: my_var: int
  3. settings can only be of allowed data type
  4. settings not declared in code are ignored in the config file (and are removed on the next save, same for commented out settings)
  5. settings can be None if they are set to null in the config, regardles of the type hint
  6. settings without a default value set in setup() are not saved to the config file, but they can still be set from the config file
  7. settings default value set in setup() must be of exactly the same type as declared using the type hints. (ex. a Path can not be set as str, see example config)
  8. The root_path and parent_section propertys are NOT available in setup()

Example config

from pathlib import Path
from badger_config_handler import Badger_Config_Base, Badger_Config_Section

class Sub_Section(Badger_Config_Section):
    section_var: str
    section_float: float

    section_path: Path

    def setup(self):
        self.section_var = "section"
        self.section_float = 20.3
        # self.section_path = "relative/sub/path" <- this is not allowed
        self.section_path = Path("relative/sub/path")

    def post_process(self):
        self.section_path = self.make_absolute_to_root(
            relative_path = self.section_path, 
            enforce_in_root = True
        )# becomes "path/to/project/root/relative/sub/path"

    def pre_process(self):
        self.section_path = self.make_relative_to_root(
            absolute_path = self.section_path
        )# turns back to "relative/sub/path"


class base(Badger_Config_Base):
    my_var: str
    my_int: int
    my_none: str
    
    sub_section: Sub_Section # NOT Badger_Config_Section

    def setup(self):
        self.my_var = "test"
        self.my_int = 50
        self.my_none = None
        
        self.sub_section = Sub_Section(section_name="sub")

config = My_Base(
    config_file_path="path/to/config.json",
    root_path="path/to/project/root"
)

config.save()
config.load()
config.sync()

Allowed data types

native

the file handlers have native support for these types and are used as is, no conversion is done on these values

  • string
  • int
  • float
  • bool
  • None / null

supported

Badger_Config_Section

converted using

  • serialize: {VAR}.to_dict()
  • de-serialize: Badger_Config_Section.from_dict({VAR})

datetime.datetime

converted using

  • serialize: {VAR}.isoformat()
  • de-serialize: datetime.fromisoformat({VAR})

pathlib.Path

converted using

  • serialize: str({VAR})
  • de-serialize: pathlib.Path({VAR})

Collections

NOTE:

It is recommended to use a Config Section instead of Collections.

If collections are used items should be of native type only, if they are not of native type they are serialized but can NOT be de-serialize.

Code using these values must handle these cases.

dict

list




Config Base


Property's


_config_file_path

path to the config file


ALLOWED_FILE_TYPES

all allowed file extensions



Function's


setup()

see Config_Section.setup()


save()

Saves config to file

steps:

  1. pre_process()
  2. save to file
  3. post_process()

load()

Load config from file

Parameters:

param type required default Note
auto_create bool True Create config file if not found
safe_load see bool True ! UNTESTED !

sync()

Sync config with file

runs:

  1. load()
    • if file exists then continue else stop here
  2. save()
  3. load()

this adds new config fields to the file or removes old ones

Parameters:

same as load()




Config Section


Property's


section_name

name of the current section


root_path

by default the project root path or overridden by the parent section


parent_section

reference to the parent section (if it exists)



Function's


setup()

Replacement for __init__()

should be used to set default values

NOTE: the propertys root_path and parent_section are NOT available during this


pre_process()

Pre process values before save()

Warning: the function should be written in a way that running it multiple times in a row doesn't cause problems

useful for:


post_process()

post process values after load()

Warning: the function should be written in a way that running it multiple times in a row doesn't cause problems

useful for:


make_absolute_to_root(Path, bool)

Help function to make a setting Path absolute to the sections root_path

Paths settings can escape the root_path using something like ../../secrets.json.
To avoid that use enforce_in_root.

Parameters:

param type required default
relative_path Path x
enforce_in_root bool True

make_relative_to_root(Path)

Help function to make a setting Path relative to the sections root_path

Parameters:

param type required default
absolute_path Path x

to_dict(bool)

converts all values to a dictionary

Parameters:

param type required default
convert_to_native bool True

from_dict()

Reconstruct Config Section from dictionary

Parameters:

param type description required default
data dict[str, native] the dict representation of this section (as generated from to_dict(True) ) x
safe_load bool ! UNTESTED !
True -> Only variables that already exist in the class are set (uses hasattr)
False -> New variables can be set from config file
True
danger_convert bool ! UNTESTED !
For details see docs of _native_to_var()
False

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A python library for handling code-declared and file-defined settings.

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