dyncfg is a flexible system for managing configuration settings using INI files. It supports both dot notation and dictionary-style access, type conversion, batch updates, auto-reloading, and thread safety. At its core, it is a wrapper around configparser built for humans to reduce mental-load and boilerplate.

This package lets you use configuration files like this:

from dyncfg import DynamicConfig

config = DynamicConfig('my_config.ini')

# Setting values
config.section1.key1 = "value1"
config['section2']['key2'] = 123

# Getting values with type conversion and default values
name = config.user.name.or_default("guest")
port = config.network.port.as_int(8080)
debug_mode = config.debug.enabled.as_bool(False)

# logging a value as we load it
experimental_setting = config["debug"]["experiment"].or_default(False).log().as_bool()


# Removing keys and sections
config.section1.remove('key1')
config.remove_section('section2')

• Dynamic Attribute Access:
  Retrieve and set configuration values using dot notation (e.g. dc.setting = "test").

• Dictionary-Style Access:
  Access sections and keys using indexing (e.g. dc["section1"]["someKey"]).

• Type Conversion:
  Convert configuration values to integer, float, or boolean using methods like as_int(), as_float(), and as_bool().

• Default Values:
  Use the or_default() method to provide default values if a key is empty, with an optional flag to update the configuration.

• Batch Updates:
  Update multiple keys in a section at once with a dictionary.

• Auto-Reload:
  Reload the configuration file if it has been modified externally.

• Removal Methods:
  Remove individual keys or entire sections from the configuration.

• Thread Safety:
  Built-in locking ensures that reading and writing to the configuration file is thread-safe.

You can install dyncfg using pip:

pip install dyncfg

from dyncfg import DynamicConfig

# Initialise the configuration with an INI file.
dc = DynamicConfig("config.ini")

# Set a value in the default section using dot notation.
dc.setting = "test"

# Retrieve a value from the default section.
print(dc.setting)  # Output: test

# Use a default value if a key is empty (without updating the configuration).
print(dc.setting2.or_default("defaultValue"))

# Use a default value and update the configuration if the key is empty.
print(dc.setting3.or_default("newDefault", update=True))

from dyncfg import DynamicConfig
dc = DynamicConfig("config.ini")
# Set a value in a specific section.
dc["section1"].someSetting = "setValue"

# Retrieve a value from that section using dictionary-style access.
print(dc["section1"]["someSetting"].or_default("defaultVal"))  # Output: setValue

from dyncfg import DynamicConfig
dc = DynamicConfig("config.ini")
# Retrieve a configuration value as an integer.
dc.number = "42"
print(dc.number.as_int())  # Output: 42

# Retrieve a configuration value as a float.
dc.pi = "3.14"
print(dc.pi.as_float())  # Output: 3.14

# Retrieve a configuration value as a boolean.
dc.enabled = "true"
print(dc.enabled.as_bool())  # Output: True

from dyncfg import DynamicConfig
dc = DynamicConfig("config.ini")
# Batch update a section with a dictionary.
dc.update_section("section2", {"key1": "value1", "key2": "42"})

# Remove a specific key from a section.
dc.remove_key("section2", "key1")

# Remove an entire section.
dc.remove_section("section2")

from dyncfg import DynamicConfig
dc = DynamicConfig("config.ini")
# Reload configuration from disk.
dc.reload()

• __init__(self, filename: str, default_section: str = 'Default')
  Initialise the configuration system with the given INI file and default section.

• __getitem__(self, section: str) -> Section
  Retrieve a section using dictionary-style access. Creates the section if it does not exist.

• __getattr__(self, name: str) -> ConfigValue
  Get a key from the default section using dot notation.

• __setattr__(self, name: str, value: str)
  Set a key in the default section using dot notation.

• reload(self)
  Reload the configuration file from disk.

• ensure_section(self, section: str)
  Ensure that a section exists in the configuration.

• remove_key(self, section: str, key: str)
  Remove a key from a specified section.

• remove_section(self, section: str)
  Remove an entire section from the configuration.

• update_section(self, section: str, data: dict)
  Batch update keys in a section using a dictionary.

• __getattr__(self, key: str) -> ConfigValue
  Retrieve a key's value within this section using dot notation.

• __setattr__(self, key: str, value: str)
  Set a key’s value within this section.

• __getitem__(self, key: str) -> ConfigValue
  Retrieve a key's value within this section using dictionary-style access.

• __setitem__(self, key: str, value: str)
  Set a key's value within this section using dictionary-style access.

• remove(self, key: str)
  Remove a key from this section.

• keys(self) -> list
  List all keys in this section.

• or_default(self, default_value: str, update: bool = False) -> str
  Return the current value if non-empty; otherwise, return a default value. If update is set to True, update the configuration.

• as_int(self, default: int = 0) -> int
  Convert the value to an integer, or return the specified default if conversion fails.

• as_float(self, default: float = 0.0) -> float
  Convert the value to a float, or return the specified default if conversion fails.

• as_bool(self, default: bool = False) -> bool
  Convert the value to a boolean, or return the specified default if conversion fails.

This project is licensed under the MIT License.