Metadata-Version: 2.1
Name: spock-config
Version: 2.2.2
Summary: Spock is a framework designed to help manage complex parameter configurations for Python applications
Home-page: https://github.com/fidelity/spock
Author: FMR LLC
License: UNKNOWN
Download-URL: https://github.com/fidelity/spock
Project-URL: Source, https://github.com/fidelity/spock
Project-URL: Documentation, https://fidelity.github.io/spock/
Project-URL: Bug Tracker, https://fidelity.github.io/spock/issues
Keywords: configuration,argparse,parameters,machine learning,deep learning,reproducibility
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: attrs (==21.2.0)
Requires-Dist: GitPython (==3.1.18)
Requires-Dist: pytomlpp (==1.0.3)
Requires-Dist: pyYAML (==5.4.1)
Provides-Extra: s3
Requires-Dist: boto3 (==1.18.16) ; extra == 's3'
Requires-Dist: botocore (==1.21.16) ; extra == 's3'
Requires-Dist: hurry.filesize (==0.9) ; extra == 's3'
Requires-Dist: s3transfer (==0.5.0) ; extra == 's3'
Provides-Extra: tune
Requires-Dist: optuna (==2.9.1) ; extra == 'tune'

[![Spock](https://raw.githubusercontent.com/fidelity/spock/master/resources/images/logo.png)](https://fidelity.github.io/spock/)
> Managing complex configurations any other way would be highly illogical...

[![License](https://img.shields.io/badge/License-Apache%202.0-9cf)](https://opensource.org/licenses/Apache-2.0)
[![Python](https://img.shields.io/badge/python-3.6+-informational.svg)]()
[![Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![PyPI version](https://badge.fury.io/py/spock-config.svg)](https://badge.fury.io/py/spock-config)
[![Coverage Status](https://coveralls.io/repos/github/fidelity/spock/badge.svg?branch=master)](https://coveralls.io/github/fidelity/spock?branch=master)
![Tests](https://github.com/fidelity/spock/workflows/pytest/badge.svg?branch=master)
![Docs](https://github.com/fidelity/spock/workflows/docs/badge.svg)

## 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, automatically generate cmd-line arguments, and allow 
hierarchical configuration by composition.

## Key Features

* [Simple Declaration](https://fidelity.github.io/spock/docs/basic_tutorial/Define/): 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](https://fidelity.github.io/spock/docs/advanced_features/Inheritance/): Classes support 
  inheritance allowing for complex configurations derived from a common base set of parameters.
* [Complex Types](https://fidelity.github.io/spock/docs/advanced_features/Advanced-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](https://fidelity.github.io/spock/docs/advanced_features/Composition/): Compose from 
  multiple configuration files via simple include statements.
* [Command-Line Overrides](https://fidelity.github.io/spock/docs/advanced_features/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 (to the extent they can be in 
  Python).
* [Tractability and Reproducibility](https://fidelity.github.io/spock/docs/basic_tutorial/Saving/): 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.
* [Hyper-Parameter Tuner Addon](https://fidelity.github.io/spock/docs/addons/tuner/About.html): Provides a unified
  interface for defining hyper-parameters (via `@spockTuner` decorator) that supports various tuning/algorithm 
  backends (Optuna, WIP: Ax)
* [S3 Addon](https://fidelity.github.io/spock/docs/addons/S3/): Automatically detects `s3://` URI(s) and handles loading 
  and saving `spock` configuration files when an active `boto3.Session` is passed in (plus any additional 
  `S3Transfer` configurations)

## Quick Install

Requires Python 3.6+

| Base | w/ S3 Extension | w/ Hyper-Parameter Tuner |
|------|-----------------|--------------------------|
| `pip install spock-config` | `pip install spock-config[s3]` | `pip install spock-config[tune]` |

## Quick Start & Documentation

Refer to the quick-start guide [here](https://fidelity.github.io/spock/docs/Quick-Start/).

Current documentation and more information can be found [here](https://fidelity.github.io/spock/).

Example `spock` usage is located [here](https://github.com/fidelity/spock/blob/master/examples).

## News/Releases

See [Releases](https://github.com/fidelity/spock/releases) for more information.

#### July 21, 2021
* Added hyper-parameter tuning support with `pip install spock-config[tune]`
* Hyper-parameter tuning backend support for Optuna define-and-run API (WIP for Ax)

#### May 6th, 2021
* Added S3 support with `pip install spock-config[s3]`
* S3 addon supports automatically handling loading/saving from paths defined with `s3://` URI(s) by passing in an
active `boto3.Session`

#### 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


### Original Implementation

[Nicholas Cilfone](https://github.com/ncilfone), [Siddharth Narayanan](https://github.com/sidnarayanan)
___
`spock` is developed and maintained by the **Artificial Intelligence Center of Excellence at Fidelity Investments**.



