pulpo-config 2.0.2

Simple configuration library

pulpo-config

Overview

The Config class provides a robust and flexible way to manage configuration settings in Python applications. It offers a simple interface to load, retrieve, and set configuration parameters, making it ideal for projects that require dynamic configuration handling.

Key Features

Easy Initialization

• Initialize with a dictionary of options or a JSON file.
• Automatically loads options from a file if a file path is provided.

Flexible Option Retrieval

• Retrieve configuration values with support for nested keys.
• Environment variable substitution for values starting with $ENV.

Command-Line Argument Processing

• Seamlessly integrates with argparse to update configurations from command-line arguments.
• Accepts arguments as a dictionary or argparse.Namespace object.

JSON and String Representation

• Convert configurations to a JSON string or a standard string representation for easy debugging and logging.

Specialized Value Retrieval

• Get configuration values as boolean or integer types with getAsBool and getAsInt.
• Handles type conversion and validation internally.

Dynamic Configuration Setting

• Set configuration values with support for nested keys.
• Automatically creates intermediate dictionaries if needed.

Benefits

• Flexibility: Easily manage configurations with varying levels of complexity.
• Simplicity: Streamline configuration management without extensive boilerplate code.
• Compatibility: Works seamlessly with common Python libraries like argparse.
• Extensibility: Customize and extend for more complex use cases or specific project needs.

Basic Usage

from pulpo_config import Config

# Can load values manually through a dictionary..
config = Config(options={"database": {"host": "localhost", "port": 3306}})

# Or can load values manually..
config.set("api_key", "your-api-key")
config.set('database.host', 'localhost')

# Or can load options from a JSON config file
config = Config(json_file_path="config.json")

# Or can load from command line parameters
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--debug_mode', type=str)
config.process_args(parser)

# Retrieve a simple configuration value
api_key = config.get("api_key")

# Retrieve a simple configuration value
is_debug_mode = config.getAsBool("debug_mode")

# Retrieve a nested configuration value
db_host = config.get("database.host")

API

Terms: Config vs Options

In this library, I use the following terms:

• config: higher level class that offers ability to set/get, but also ability to load from a variety of sources or convenience methods
• options: low level dictionary of key-value pairs, used to initialize Config. An options dictionary is used as the internal data store for the Config implementation

Constructor

Config can be initialized with a dictionary or json formatted config file

• Config(options: dict = None, json_file_path: str = None)
  • With no parameters, will create a Config with no values
  • If options supplied, will initialize with the supplied key-value pairs. Note that this does support nest key-value structures.
  • What if options is modified after being used to initialize Config? Read here.
  • If json_file_path will load values from json formatted config file

Load from sources

There are a set of methods to load from others sources. Each for these will copy key-value pairs from parameter to Config and return the instance of Config (to support chain calls). For example:

config = Config().fromOptions(options).fromKeyValue('k', 'v').fromJsonFile('config.json')

• fromOptions(self, options: dict = None)
  • load Config with the supplied key-value pairs. Note that this does support nest key-value structures.
• fromKeyValue(self, key: str, value: typing.Any)
  • load Config with the supplied key-value pair.
• fromJsonFile(self, file_path: str)
  • load Config with the content from the supplied json file
• fromYamlFile(self, file_path: str)
  • load Config with the content from the supplied yaml file
• fromArgumentParser(self, args: dict)
  • load Config with command line arguments.
  • args can be either argparser or argparser.namepspace (the output from argparser.parse())

Load from sources

There are a set of methods to load from others sources. Each for these will copy key-value pairs from parameter to Config and return the instance of Config (to support chain calls). For example:

config = Config().fromOptions(options).fromKeyValue('k', 'v').fromJsonFile('config.json')

• fromOptions(self, options: dict = None)
  • load Config with the supplied key-value pairs. Note that this does support nest key-value structures.
• fromKeyValue(self, key: str, value: typing.Any)
  • load Config with the supplied key-value pair.
• fromKeyValueList(self, key_value_list)
  • load Config with supplied key-value pairs.
• fromJsonFile(self, file_path: str)
  • load Config with the content from the supplied json file.
• fromYamlFile(self, file_path: str)
  • load Config with the content from the supplied yaml file.
• fromArgumentParser(self, args: dict)
  • load Config with command line arguments.
  • args can be either argparser or argparser.namepspace (the output from argparser.parse())

process_args

Passing a standard argparser or argparser.namepspace will integrate command line params into the config values

• process_args(self, args: dict)

Set

• set(key: str, value: typing.Any)
  • Will set key=value
  • value can be of any type, and would be returned as set
  • To set a nested value (such as if database option has child option of host), use a .: config.set('database.host', 'localhost')
  • If nested value parent(s) (such as database in the above example) does not exist, those parent(s) will be created.

Get

• get(key: str, default_value: typing.Any = None)
  • Will return the value associated the key
  • If there is not a set value, the the default_value is returned
  • To get a nested value, use a .: config.get('database.host')
• There are also specialized get methods to cast values to specific types
• getAsBool(self, key: str, default_value: typing.Any = None) -> bool
• getAsInt(self, key: str, default_value: int = None) -> int

Keys, Values, Iterator

• keys: returns a list of keys. If the options are nested, will return in dot notation (i.e. ['parent.k1', 'parent.k2'])
• values: returns a dictionary with all key-value pairs.If the options are nested, will return in dot notation (i.e. {'parent.k1': 'v1', 'parent.k2': 'v2'})
• __iter__: iterates over the list of keys (for key in config)

More Usage Patterns

Loading from dictionary

Using fromOptions

from pulpo_config import Config
options={"api_key": "your-api-key", "database": {"host": "localhost", "port": 3306}}
config = Config().fromOptions(options)

api_key = config.get("api_key")    
host = config.get("database.host")   

Using constructor

from pulpo_config import Config
config = Config(options={"api_key": "your-api-key", "database": {"host": "localhost", "port": 3306}}
api_key = config.get("api_key")    
host = config.get("database.host")    

Manually setting config

from pulpo_config import Config
config = Config()
config.set("api_key", "your-api-key")
config.set("database.host", "localhost")
config.set("database.port", 3306)
api_key = config.get("api_key")
host = config.get("database.host")    

Loading from json config file

Most use cases will utilize a config file to store options. Below is a sample config

{
    "api_key": "your-api-key",
    "database": {
        "host": "localhost",
        "port": 3306
    }
}

Load this config file named config.json using the following:

from pulpo_config import Config
config = Config().fromJsonFile(file_path='config.json')
api_key = config.get("api_key")
host = config.get("database.host")    

Loading from command line parameters

In a scenario in which you are using commandline params with argparser, use the following:

from pulpo_config import Config
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--api_key', type=str)
config = Config().fromArgumentParser(parser)
api_key = config.get("api_key")

Get bool values

The getAsBool will cast the value to a bool. For this purpose, the following are considered true: [True, 'TRUE', 'T', '1', 1] (case-insensitive)

if config.getAsBool("enable_feature_x"):
   # do stuff

Get in values

The getAsInt will cast the value to an int.

port = config.getAsInt("database.host")

Extending the Config class

For many application, I prefer to create an application-specific config class, extending from the provided config class. Example:

class MyApplicationConfig(Config):

    def __init__(self, options: dict = None, json_file_path: str = None):
        super().__init__(options=options, json_file_path=json_file_path)

    @property
    def api_key(self: Config) -> str:
        return self.get('api_key')

    @property
    def debug_mode(self: Config) -> str:
        return self.getAsBool('debug_mode', False)

Installation

Pulpo-config is avaiable on PyPi: https://pypi.org/project/pulpo-config/
Install using

pip install pulpo-config