import {Mongo} from "meteor/mongo"; import {Meteor} from "meteor/meteor"; import { Roles } from 'meteor/alanning:roles'; import {check} from "meteor/check"; import {Sites} from "/imports/api/sites"; import {parse} from "csv-parse"; export const Staff = new Mongo.Collection('staff'); if (Meteor.isServer) { // This code only runs on the server Meteor.publish('staff', function(siteId) { return Staff.find({siteId}); }); } Meteor.methods({ 'staff.add'(firstName, lastName, email, siteId) { if(Roles.userIsInRole(Meteor.userId(), "admin", {anyScope:true})) { Staff.insert({firstName, lastName, email, siteId}); } }, 'staff.remove'(_id) { if(Roles.userIsInRole(Meteor.userId(), "admin", {anyScope:true})) { //TODO: Need to first verify there are no checked out assets to the staff member. } }, /** * Assumes that the ID field is a unique ID that never changes for staff. * This must be true in order for duplicate staff to be avoided. * Will automatically update staff data, including the site he/she is associated with. * * Expects the CSV string to contain comma delimited data in the form: * ID, email, first name, last name * * The query in Aeries is: `LIST STF ID FN LN EM PSC`. * A more complete Aeries query: `LIST STF ID FN LN EM BY FN IF PSC = 5` * Note that you will want to run this query for each school, and the district. The example above sets the school to #5 (PSC). * Run the query in Aeries as a `Report`, select TXT, and upload here. * * Aeries adds a header per 'page' of data (I think 35 entries per page). * Example: * Anderson Valley Jr/Sr High School,6/11/2022 * 2021-2022,Page 1 * StuEmail,Student ID,First Name,Last Name,Grade,First Name Alias,Last Name Alias * @type: Currently only supports 'CSV' or 'Aeries Text Report' */ 'staff.loadCsv'(csv, type, siteId) { if(Roles.userIsInRole(Meteor.userId(), "admin", {anyScope:true})) { check(csv, String); check(siteId, String); let site = Sites.findOne({_id: siteId}); if(site) { let cleanCsv; let lines = csv.split(/\r?\n/); let pageHeader = type === 'Aeries Text Report' ? lines[0] : null; // Skip the repeating header lines for an Aeries text report. let skip = type === 'CSV' ? 1 : 0; // Skip the first line of a CSV file (headers). // Remove headers from the CSV. for(const line of lines) { if (skip > 0) skip--; else if (pageHeader && line === pageHeader) { skip = 2; } else { if(!cleanCsv) cleanCsv = ""; else cleanCsv += '\r\n'; cleanCsv += line; } } //console.log(cleanCsv); // Note: This doesn't work because some values are quoted and contain commas as a value character. // Parse the CSV (now without any headers). // lines = cleanCsv.split(/\r\n/); // for(const line of lines) { // let values = line.split(/\s*,\s*/); // // if(values.length >= 5) { // let id = values[0]; // let email = values[1]; // let firstName = values[2]; // let lastName = values[3]; // let grade = parseInt(values[4], 10); // let firstNameAlias = ""; // let active = true; // // if(values.length > 5) firstNameAlias = values[5]; // // let student = {siteId, email, id, firstName, lastName, grade, firstNameAlias, active}; // // // console.log(student); // // Update or insert in the db. // console.log("Upserting: " + student); // Students.upsert({id}, {$set: student}); // } // } const bound = Meteor.bindEnvironment((callback) => {callback();}); parse(cleanCsv, {}, function(err, records) { bound(() => { if(err) console.error(err); else { let foundIds = new Set(); let duplicates = []; console.log("Found " + records.length + " records."); for(const values of records) { let id = values[0]; let email = values[1]; let firstName = values[2]; let lastName = values[3]; let grade = parseInt(values[4], 10); let firstNameAlias = ""; let active = true; if(values.length > 5) firstNameAlias = values[5]; let staff = {siteId, email, id, firstName, lastName, active}; // Track the staff ID's and record duplicates. This is used to ensure our counts are accurate later. if(foundIds.has(staff.id)) { duplicates.push(staff.id); } else { foundIds.add(staff.id); } //console.log(staff); try { Staff.upsert({id: staff.id}, {$set: staff}); } catch(err) { console.error(err); } } console.log(duplicates.length + " records were duplicates:"); console.log(duplicates); } }); }) } else { console.log("Failed to find the site with the ID: " + siteId); } } } });