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@@ -1,136 +0,0 @@
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-let orderCalculator = {
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- display: function(){
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- let to = new Date();
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- to.setDate(to.getDate() + 7);
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- to.setHours(0, 0, 0, 0);
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- from = new Date();
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- from.setDate(from.getDate() + 1);
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- from.setHours(0, 0, 0, 0);
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-
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- document.getElementById("predictDateFrom").valueAsDate = from;
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- document.getElementById("predictDateTo").valueAsDate = to;
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- document.getElementById("predictButton").onclick = ()=>{this.predict()};
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-
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- let selector = document.getElementById("predictSelector");
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- while(selector.children.length > 0){
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- selector.removeChild(selector.firstChild);
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- }
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-
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- for(let i = 0; i < merchant.ingredients.length; i++){
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- let option = document.createElement("option");
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- option.innerText = merchant.ingredients[i].ingredient.name;
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- option.value = merchant.ingredients[i].ingredient.id;
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- selector.appendChild(option);
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- }
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- },
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-
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- predict: function(){
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- let from = document.getElementById("predictDateFrom").valueAsDate;
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- let to = document.getElementById("predictDateTo").valueAsDate;
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- let ingredient = merchant.getIngredient(document.getElementById("predictSelector").value);
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-
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- let data = {
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- to: new Date(),
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- recipes: []
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- }
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-
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- data.from = new Date(data.to.getFullYear() - 1, data.to.getMonth(), data.to.getDate());
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-
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- fetch("/transaction", {
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- method: "post",
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- headers: {
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- "Content-Type": "application/json;charset=utf-8"
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- },
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- body: JSON.stringify(data)
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- })
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- .then(response => response.json())
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- .then((response)=>{
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- if(typeof(response) === "string"){
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- controller.createBanner(response, "error");
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- }else{
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- const options = {
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- task: "regression",
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- debug: false
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- }
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-
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- const nn = ml5.neuralNetwork(options);
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-
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- this.createData(nn, response, ingredient.ingredient);
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- nn.normalizeData();
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- nn.train(()=>{
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- let predictors = [];
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- while(from <= to){
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- predictors.push(nn.predict({
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- month: from.getMonth(),
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- day: from.getDay()
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- }))
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-
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- from.setDate(from.getDate() + 1);
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- }
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-
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- Promise.all(predictors)
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- .then((predictions)=>{
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- let total = 0
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- for(let i = 0; i < predictions.length; i++){
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- total += predictions[i][0].value;
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- }
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-
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- if(isNaN(total)) total = 0;
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- document.getElementById("prediction").innerText = `${total.toFixed(2)} ${ingredient.ingredient.unit.toUpperCase()}`;
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- })
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- .catch((err)=>{
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- controller.createBanner("ERROR: UNABLE TO MAKE PREDICTION", "error");
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- });
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- });
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- }
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- })
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- .catch((err)=>{
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- controller.createBanner("ERROR: UNABLE TO MAKE PREDICTION", "error");
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- });
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- },
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-
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- createData: function(nn, transactions, ingredient){
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- let today = new Date(transactions[transactions.length-1].date);
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- today.setHours(0, 0, 0, 0);
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- let tomorrow = new Date(transactions[transactions.length-1].date);
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- tomorrow.setDate(tomorrow.getDate() + 1);
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- tomorrow.setHours(0, 0, 0, 0);
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- let dailySum = 0;
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-
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- for(let i = transactions.length - 1; i >= 0; i--){
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- transactions[i].date = new Date(transactions[i].date);
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-
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- if(transactions[i].date >= tomorrow){
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- let inputs = {
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- month: today.getMonth(),
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- day: today.getDay()
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- };
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-
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- let output = {quantity: dailySum};
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-
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- nn.addData(inputs, output);
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- dailySum = 0;
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- today.setDate(today.getDate() + 1);
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- tomorrow.setDate(tomorrow.getDate() + 1);
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- }
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-
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- for(let j = 0; j < transactions[i].recipes.length; j++){
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- for(let k = 0; k < merchant.recipes.length; k++){
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- if(merchant.recipes[k].id === transactions[i].recipes[j].recipe){
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- for(let l = 0; l < merchant.recipes[k].ingredients.length; l++){
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- if(merchant.recipes[k].ingredients[l].ingredient === ingredient){
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- dailySum += merchant.recipes[k].ingredients[l].quantity * transactions[i].recipes[j].quantity;
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-
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- break;
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- }
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- }
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-
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- break;
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- }
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- }
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- }
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- }
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- }
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-}
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-
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-module.exports = orderCalculator;
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Lee Morgan