Config handler for code-declared and file-defined settings.
Project description
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
- settings are declared in the class and defined in setup()
- settings MUST be declared with a type hint. example:
my_var: int
- settings can only be of allowed data type
- settings not declared in code are ignored in the config file (and are removed on the next save, same for commented out settings)
- settings can be
None
if they are set to null in the config, regardles of the type hint - 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
- 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"
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()
save()
Saves config to file
steps:
- pre_process()
- save to file
- 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:
load()
- if file exists then continue else stop here
save()
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:
- converting unsupported data type to a native or supported type
- converting absolute paths to relative (keeps them short in the config file)
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:
- creating unsupported data type from native or supported type
- converting relative paths to absolute (keeps them short in the config file)
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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