| { |
| "name": "ValidModel", |
| "version": "0.1.0", |
| "swift_version": "4.1", |
| "platforms": { |
| "ios": "8.0" |
| }, |
| "summary": "ValidModel empowers model validation and autogeneration.", |
| "description": "ValidModel enhances application models and makes data safer to handle and easier to reason about.\n\nIn many cases projects are stuffed with 'mocks'. They provide good value\nhowever it comes with a price of extra development and maintanence that mock loading system\nand mock files require (source code that loads mock data, mock data files that are supposed to match model's format).\n\nIn a nutshell ValidModel proposes a different workflow when working with application models and it boils down to an ideas of Validation.\nAssume having a model with clearly defined min-max range values for the properties of the model.\nBy just knowing min-max limits information it is easy to:\n - confirm that given model instance contains correct values that application knows how to deal with.\n - generate new instance of this model for easy testing, N times (whether you work on UI edge case or API is not available, it is just like an object from mock data, but autogenerated, N times).", |
| "homepage": "https://github.com/ReImpl/ValidModel", |
| "license": { |
| "type": "MIT", |
| "file": "LICENSE" |
| }, |
| "authors": { |
| "kernel": "kernel@reimplement.mobi" |
| }, |
| "source": { |
| "git": "https://github.com/ReImpl/ValidModel.git", |
| "tag": "0.1.0" |
| }, |
| "subspecs": [ |
| { |
| "name": "Base", |
| "source_files": "ValidModel/Classes/Base/**/*.{swift}" |
| }, |
| { |
| "name": "Extended", |
| "dependencies": { |
| "ValidModel/Base": [ |
| |
| ], |
| "Fakery": [ |
| |
| ] |
| }, |
| "source_files": "ValidModel/Classes/Extended/**/*.{swift}" |
| } |
| ] |
| } |
