//One universal basic required here to get things going once loaded
window.onload = function () {
    //restoreDefaultValues(); //Un-comment this if you want to start with defaults
    Main();
};
//Any global variables go here


//Main is hard wired as THE place to start calculating when input changes
//It does no calculations itself, it merely sets them up, sends off variables, gets results and, if necessary, plots them.
function Main() {
    saveSettings();

    //Send all the inputs as a structured object
    //If you need to convert to, say, SI units, do it here!
    const inputs = {
        R: sliders.SlideR.value / 1e6, //From μm 
        sigma: sliders.Slidesigma.value / 1000, //From mN/m
        h: sliders.Slideh.value / 1e6, //From μm 
        phimin: sliders.Slidephimin.value,
        Droplet: sliders.SlideDroplet.value / 1e6, //From μm 
        Deltarho: sliders.SlideDeltarho.value,
   }

    //Send inputs off to CalcIt where the names are instantly available
    //Get all the resonses as an object, result
    const result = CalcIt(inputs)

    //Set all the text box outputs
    document.getElementById('tBlock').value = result.tBlock; 

    //Do all relevant plots by calling plotIt - if there's no plot, nothing happens
    //plotIt is part of the app infrastructure in app.new.js
    if (result.plots) {
        for (let i = 0; i < result.plots.length; i++) {
            plotIt(result.plots[i], result.canvas[i]);
        }
    }

    //You might have some other stuff to do here, but for most apps that's it for CalcIt!
}

//Here's the app calculation
//The inputs are just the names provided - their order in the curly brackets is unimportant!
//By convention the input values are provided with the correct units within Main
function CalcIt({ R, sigma, h, phimin, Droplet, Deltarho }) {
    let Plot=[], phi, phieff, tau, sigR=sigma/R
    for (phi=phimin; phi<0.9; phi+=0.01){
        phieff=Math.min(0.999,Math.pow(1/(Math.pow(phi,-0.33333)-1.105/2*h/R),3))
        tau=Math.max(0,sigR*Math.pow(phieff,0.33333)*(-0.08-0.114*Math.log10(1-phieff)))
        Plot.push({x:phi,y:tau})
    }
    const tBlock=10*Droplet*Deltarho
    //Now set up all the graphing data detail by detail.
    let plotData = [Plot]
    let lineLabels = ["Yield Stress"]//,"Plot1","Plot2","Plot3"] //An array of labels for each dataset
    const prmap = {
        plotData: plotData,
        lineLabels: lineLabels,
        xLabel: "φ& ", //Label for the x axis, with an & to separate the units
        yLabel: "τ0& Pa", //Label for the y axis, with an & to separate the units
        y2Label: undefined, //Label for the y2 axis, null if not needed
        yAxisL1R2: [1, 2], //Array to say which axis each dataset goes on. Blank=Left=1
        logX: false, //Is the x-axis in log form?
        xTicks: undefined, //We can define a tick function if we're being fancy
        logY: false, //Is the y-axis in log form?
        yTicks: undefined, //We can define a tick function if we're being fancy
        legendPosition: 'top', //Where we want the legend - top, bottom, left, right
        xMinMax: [,], //Set min and max, e.g. [-10,100], leave one or both blank for auto
        yMinMax: [0,], //Set min and max, e.g. [-10,100], leave one or both blank for auto
        y2MinMax: [0,], //Set min and max, e.g. [-10,100], leave one or both blank for auto
        xSigFigs: 'F2', //These are the sig figs for the Tooltip readout. A wide choice!
        ySigFigs: 'F1', //F for Fixed, P for Precision, E for exponential
    };

    //Now we return everything - text boxes, plot and the name of the canvas, which is 'canvas' for a single plot

    return {
        plots: [prmap],
        canvas: ['canvas'],
        tBlock: tBlock.toFixed(3)
    };

}