const { contextBridge, ipcRenderer, webUtils } = require('electron')

try {
    contextBridge.exposeInMainWorld("explorer", {
        onFileDrop: (file) => webUtils.getPathForFile(file)
    })
    contextBridge.exposeInMainWorld("extractor", {
            extract: (file) => {

let q =  // TODO get rid of this example code and have the actual json object be sent
{
    video: {
        module: "extraction-video-to-audio", // The name of the module, idk if we ever implement other extraction modules, the default one is extraction-video-to-audio
        inputVideoPath: file.inputVideoPath, // See script.js on line 27 for an example of what this should look like
        outputType: file.outputType // The file format to be used for the audio output file, such as wav, mp3, flac and so on
    },
    transcription:{
        module: "String" // The module name of the transcription model you want to use
    },
    document:{
        module: "String", // The module name of the AI model you want to use to create the document
        styles: [ // An array of all the document styles/prompts you want to have the document be processed with
            {
                prompt: "String",
            }
        ]
    }
}
            // ipcRenderer.send("file_submit", {module:"extraction-video-to-audio", parameter:file})
            ipcRenderer.send("file_submit", q)
        }
    })
    contextBridge.exposeInMainWorld("electronAPI", {
        getFilePath: (file) => {return webUtils.getPathForFile(file)}
    })

    ipcRenderer.on("progress", (event, resp) => {
        alert(`Finished step ${resp.curstep} of ${resp.totalsteps}`)
    })
    ipcRenderer.on("error", (event, err) => {alert(err)})
} catch (error) {
    console.log("Error in preload.js");
}