A command line interface for wrapper for @ng2react/core that converts AngularJS components to React using OpenAI.
npm install -g @ng2react/cling2r [comand] --help
Commands:
ng2react search <file> Finds angular components in a file
ng2react convert <file> <componentName> Converts angular components to react
ng2react generateReactTest <file> Converts angular components to react
ng2react convert <file> <componentName>
Converts angular components to react
Positionals:
file The file containing the component [string] [required]
componentName The file to convert [string] [required]
Options:
--version Show version number [boolean]
--cwd The current working directory
[string] [default: "/Users/maxbilbow/repos/dissertation/ng2react/cli"]
--quiet Suppresses all logging [boolean]
--verbose Outputs more information [boolean]
--help Show help [boolean]
--apiKey The openai api key [string]
--model The openai model to use [string] [default: "gpt-4"]
--organization The openai model to use [string]
--sourceRoot The source root where all AngularJS JS and HTML are located
[string]
--temperature The temperature to use when generating text, between 0 and 2
[number] [default: 0.2]
--customPrompt Custom rules (Markdown) that will be used instead of the
default rules regarding pattern conversion. [string]
--targetLanguage Target language for code generation. If none provided, the
source language will be used.
[string] [choices: "javascript", "typescript"]
ng2react generateReactTest <file>
Converts angular components to react
Positionals:
file The file containing the component [string] [required]
Options:
--version Show version number [boolean]
--cwd The current working directory
[string] [default: "/Users/maxbilbow/repos/dissertation/ng2react/cli"]
--quiet Suppresses all logging [boolean]
--verbose Outputs more information [boolean]
--help Show help [boolean]
--apiKey The openai api key [string]
--model The openai model to use [string] [default: "gpt-4"]
--organization The openai model to use [string]
--temperature The temperature to use when generating text, between 0 and 2
[number] [default: 0.2]
--targetLanguage Target language for code generation. If none provided, the
source language will be used.
[string] [choices: "javascript", "typescript"]
If you wish to integrate this into your own application, you can use the JSON API by adding the --json flag.
For response types, see the JSON schemas:
type SearchResult = {
result: {
name: string
file: string
location: {
start: number
end: number
}
}[]
}type ConvertResult = {
result: readonly {
jsx: string
markdown: string
}[]
}