bom2table/src/bom2table.js
Nick Playfair 06b0d59d5f Refactor table code
Use array map instead of nest loops to generate table
2021-03-07 19:23:35 +00:00

159 lines
3.6 KiB
JavaScript

/* eslint-disable array-callback-return */
// Modules
const beautify = require('js-beautify').html;
const csv = require('csvtojson');
// Configuration
// Which components should we remove from the BOM?
const rejectedParts = [
'TP1',
'TP2',
'TP3',
'G',
'U$1',
'S1',
'J1',
'J2',
'INPUT',
];
// Return false if the Part value of the object passed in is in the list to remove
function isJunk(element) {
return !rejectedParts.includes(element.Part);
}
function getPartType(partName) {
// console.log(partName.Part);
if (partName.Part.match(/^C\d/) != null) {
return 'C';
// eslint-disable-next-line no-else-return
} else if (partName.Part.match(/^R\d/) != null) {
return 'R';
}
return 'Q';
}
function getJSONParts(allParts) {
const jsonParts = {};
const C = {};
const R = {};
const Q = {};
allParts.map((partEntry) => {
switch (getPartType(partEntry)) {
case 'C':
C[partEntry.Part] = partEntry.Value;
break;
case 'R':
R[partEntry.Part] = partEntry.Value;
break;
default:
Q[partEntry.Part] = partEntry.Value;
}
});
jsonParts.C = C;
jsonParts.R = R;
jsonParts.Q = Q;
return jsonParts;
}
// Format the HTML nicely and output to a pre code block
function displayMarkup() {
const tableCode = document.querySelector('table').outerHTML;
const markup = document.getElementById('markup');
markup.innerText = beautify(tableCode);
}
// Table functions
function clearTable() {
document.querySelector('table').innerHTML = '';
}
function generateTableHead(table, data) {
const thead = table.createTHead();
const row = thead.insertRow();
// Populate Header row
data.map((key) => {
const th = document.createElement('th');
const text = document.createTextNode(key);
th.appendChild(text);
row.appendChild(th);
});
}
function generateTableBody(table, data) {
data.map((component) => {
const row = table.insertRow();
// Insert Part Name
const partName = row.insertCell();
const partNameText = document.createTextNode(component.Part);
partName.appendChild(partNameText);
// Insert Part Value
const partVal = row.insertCell();
const partValText = document.createTextNode(component.Value);
partVal.appendChild(partValText);
});
}
function makeTable(csvString) {
csv({
delimiter: ';',
includeColumns: /(Part|Value)/,
ignoreEmpty: true,
})
.fromString(csvString)
.then((jsonObj) => {
// Create array containing only relevant parts
const parts = jsonObj.filter(isJunk);
console.log(parts);
const table = document.querySelector('table');
const headerData = Object.keys(parts[0]);
generateTableBody(table, parts);
generateTableHead(table, headerData);
displayMarkup();
})
.catch((e) => {
console.error(e);
});
}
// Create a JSON object for Contentful
function makeJSON(csvString) {
csv({
delimiter: ';',
includeColumns: /(Part|Value)/,
ignoreEmpty: true,
})
.fromString(csvString)
.then((res) => {
const object = res.filter(isJunk);
const parts = getJSONParts(object);
document.getElementById('jsonObject').innerText = JSON.stringify(
parts,
null,
2,
);
})
.catch((e) => {
console.error(e);
});
}
function handleFiles() {
const csvFilePath = this.files[0];
const reader = new FileReader();
reader.readAsText(csvFilePath);
reader.onload = () => {
clearTable();
makeTable(reader.result);
makeJSON(reader.result);
};
}
const csvPicker = document.getElementById('csvFile');
csvPicker.addEventListener('change', handleFiles, false);