pymlconf Package

config_manager Module

class pymlconf.config_manager.ConfigManager(init_value=None, dirs=None, files=None, filename_as_namespace=True, extension='.conf', root_file_name='root', missing_file_behavior=2, encoding='utf-8', context=None, builtin=None)[source]

Bases: pymlconf.config_nodes.ConfigDict

The main class which exposes pymlconf package.

Example:

from pymlconf import ConfigManager
from os import path
config =  ConfigManager('''
    server:
        host: localhost
        port: 4455
    ''','conf','builtins/defaults.conf')

print config.server.host
print config.server.port
Parameters:
  • init_value (str or dict) – Initial configuration value that you can pass it before reading the files and directories.can be ‘yaml string’ or python dictionary.
  • dirs (str or list) – Python list or a string that contains semi-colon separated list of directories which contains configuration files with specified extension(default *.conf).
  • files (str or list) – Python list or a string that contains semi-colon separated list of files which contains yaml configuration entries.
  • filename_as_namespace (bool) – when loading dirs, use the filename as a namespace. default: true.
  • extension (str) – File extension to search for configuration files, in dirs parameter, default ‘.conf’
  • root_file_name (str) – Filename to treat as root configuration file, so it loads first, and do not uses the filename as namespaces.
  • missing_file_behavior (integer 0:ignore, 1:throw error, 2:warning) – What should do when a file was not found, set to 0 (zero) to ignore. default to warning(2)
  • context (dict) – dictionary to format the yaml before parsing in pre processor.
  • builtin (str or dict) – Same as the init_value, but it will be loaded before the loading the init_value, helps to implement builtin config pattern.

New in version 0.6.0a: The builtin parameter was added.

default_extension = '.conf'
load_dirs(dirs, filename_as_namespace=True)[source]

load directories which contains configuration files with specified extension, and merge it by current ConfigManager instance

Parameters:
  • dirs (list,string) – Dirs to search for configuration files.
  • filename_as_namespace (bool) – when loading dirs, use the filename as a namespace. default: true.
load_files(files, filename_as_namespace=False)[source]

load files which contains yaml configuration entries.and merge it by current ConfigManager instance

Parameters:
  • files (list) – files to load and merge into existing configuration instance
  • filename_as_namespace (bool) – when loading files, use the filename as a namespace. default: false.
loaddirs(dirs, filename_as_namespace=True)

load directories which contains configuration files with specified extension, and merge it by current ConfigManager instance

Parameters:
  • dirs (list,string) – Dirs to search for configuration files.
  • filename_as_namespace (bool) – when loading dirs, use the filename as a namespace. default: true.
loadfiles(files, filename_as_namespace=False)

load files which contains yaml configuration entries.and merge it by current ConfigManager instance

Parameters:
  • files (list) – files to load and merge into existing configuration instance
  • filename_as_namespace (bool) – when loading files, use the filename as a namespace. default: false.

config_nodes Module

class pymlconf.config_nodes.ConfigDict(*args, **kwargs)[source]

Bases: collections.OrderedDict, pymlconf.config_nodes.Mergable

Configuration node that represents python dictionary data.

can_merge(data)[source]
copy()[source]
classmethod empty()[source]
class pymlconf.config_nodes.ConfigList(*args, **kwargs)[source]

Bases: list, pymlconf.config_nodes.Mergable

Configuration node that represents the python list data.

can_merge(data)[source]
copy()[source]
classmethod empty()[source]
class pymlconf.config_nodes.ConfigNamespace(*args, **kwargs)[source]

Bases: pymlconf.config_nodes.ConfigDict, pymlconf.config_nodes.Mergable

Configuration node that represents the configuration namespace node.

class pymlconf.config_nodes.Mergable(data=None, context=None)[source]

Bases: object

Base class for all configuration nodes, so all configuration nodes are mergable

Parameters:data (list or dict) – Initial value to constract a mergable instance. default: None.
can_merge(data)[source]

Determines whenever can merge with the passed argument or not.

Parameters:data (any) – An object to test.
Returns:bool
copy()[source]

When implemented, returns copy of current config instance.

Returns:Mergable
classmethod empty()[source]

When implemented, returns an empty instance of drived Mergable class.

Returns:Mergable
classmethod make_mergable_if_possible(data, context)[source]

Makes an object mergable if possible. Returns the virgin object if cannot convert it to a mergable instance.

Returns:Mergable or type(data)
merge(*args)[source]

Merges this instance with new instances, in-place.

Parameters:*args (iterable) – Configuration values to merge with current instance.

errors Module

exception pymlconf.errors.ConfigFileNotFoundError(filename)[source]

Bases: pymlconf.errors.ConfigurationError

exception pymlconf.errors.ConfigFileSyntaxError(filename, inner_exception)[source]

Bases: pymlconf.errors.ConfigurationError

exception pymlconf.errors.ConfigKeyError(key)[source]

Bases: pymlconf.errors.ConfigurationError, AttributeError

exception pymlconf.errors.ConfigurationAlreadyInitializedError(message)[source]

Bases: pymlconf.errors.ConfigurationError

exception pymlconf.errors.ConfigurationError(message)[source]

Bases: Exception

exception pymlconf.errors.ConfigurationMergeError(message)[source]

Bases: pymlconf.errors.ConfigurationError, ValueError

exception pymlconf.errors.ConfigurationNotInitializedError(message)[source]

Bases: pymlconf.errors.ConfigurationError