spock-config 2.1.2

Spock is a framework designed to help manage complex parameter configurations for Python applications

Managing complex configurations any other way would be highly illogical...

About

spock is a framework that helps manage complex parameter configurations during research and development of Python applications. spock lets you focus on the code you need to write instead of re-implementing boilerplate code like creating ArgParsers, reading configuration files, implementing traceability etc.

In short, spock configurations are defined by simple and familiar class-based structures. This allows spock to support inheritance, read from multiple markdown formats, and allow hierarchical configuration by composition.

Quick Install

Requires Python 3.6+

pip install spock-config

Version(s)

All prior versions are available on PyPi. If legacy API and backend support is needed please install a pre v2.0.0+ version. We recommend refactoring your code to the new API and backend instead as legacy versions will be missing recent features, bugfixes, and hotfixes.

• v2.0.0+: Dropped support for legacy backend and API semantics
• v1.1.0-v1.2.1: New API with support for legacy backend and legacy API semantics
• v1.0.0: Legacy API and backend

News

See Releases for more information.

March 18th, 2021

• Support for Google docstring style annotation of spock class (and Enums) and attributes
• Added in ability to print docstring annotated help information to command line with --help argument

March 1st, 2021

• Removed legacy backend and API (dataclasses and custom typed interface)
• Updated markdown save call to support advanced types so that saved configurations are now valid spock config input files
• Changed tuples to support length restrictions

Documentation

Current documentation and more information can be found here.

Example spock usage is located here.

Key Features

• Simple Declaration: Type checked parameters are defined within a @spock decorated class. Supports required/optional and automatic defaults.
• Easily Managed Parameter Groups: Each class automatically generates its own object within a single namespace.
• Parameter Inheritance: Classes support inheritance allowing for complex configurations derived from a common base set of parameters.
• Complex Types: Nested Lists/Tuples, List/Tuples of Enum of @spock classes, List of repeated @spock classes
• Multiple Configuration File Types: Configurations are specified from YAML, TOML, or JSON files.
• Hierarchical Configuration: Compose from multiple configuration files via simple include statements.
• Command-Line Overrides: Quickly experiment by overriding a value with automatically generated command line arguments.
• Immutable: All classes are frozen preventing any misuse or accidental overwrites.
• Tractability and Reproducibility: Save runtime parameter configuration to YAML, TOML, or JSON with a single chained command (with extra runtime info such as Git info, Python version, machine FQDN, etc). The saved markdown file can be used as the configuration input to reproduce prior runtime configurations.

Main Contributors

Nicholas Cilfone, Siddharth Narayanan

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spock is developed and maintained by the Artificial Intelligence Center of Excellence at Fidelity Investments.