2020-06-12 08:22:36 +03:00
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import Service, {inject as service} from '@ember/service';
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2022-02-03 01:11:11 +03:00
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import classic from 'ember-classic-decorator';
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2020-06-12 08:22:36 +03:00
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import validator from 'validator';
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2020-07-06 15:28:30 +03:00
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import {isEmpty} from '@ember/utils';
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2020-06-12 08:22:36 +03:00
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2022-02-03 01:11:11 +03:00
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@classic
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export default class MemberImportValidatorService extends Service {
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2022-02-03 22:04:43 +03:00
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@service ajax;
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@service membersUtils;
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2022-02-03 01:11:11 +03:00
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2022-02-03 22:04:43 +03:00
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@service ghostPaths;
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2020-06-12 08:22:36 +03:00
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2020-12-09 22:32:31 +03:00
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check(data) {
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2020-07-06 15:28:30 +03:00
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let sampledData = this._sampleData(data);
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let mapping = this._detectDataTypes(sampledData);
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2020-12-09 22:32:31 +03:00
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return mapping;
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2022-02-03 01:11:11 +03:00
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}
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2020-07-06 15:28:30 +03:00
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/**
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2022-10-13 06:17:12 +03:00
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* Method implements following sampling logic:
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2020-07-06 15:28:30 +03:00
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* Locate 10 non-empty cells from the start/middle(ish)/end of each column (30 non-empty values in total).
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* If the data contains 30 rows or fewer, all rows should be validated.
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*
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* @param {Array} data JSON objects mapped from CSV file
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*/
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_sampleData(data, validationSampleSize = 30) {
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let validatedSet = [{}];
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if (data && data.length > validationSampleSize) {
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let sampleKeys = Object.keys(data[0]);
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sampleKeys.forEach(function (key) {
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const nonEmptyKeyEntries = data.filter(entry => !isEmpty(entry[key]));
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let sampledEntries = [];
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if (nonEmptyKeyEntries.length <= validationSampleSize) {
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sampledEntries = nonEmptyKeyEntries;
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} else {
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// take 3 equal parts from head, tail and middle of the data set
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const partitionSize = validationSampleSize / 3;
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const head = data.slice(0, partitionSize);
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const tail = data.slice((data.length - partitionSize), data.length);
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const middleIndex = Math.floor(data.length / 2);
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const middleStartIndex = middleIndex - 2;
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const middleEndIndex = middleIndex + 3;
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const middle = data.slice(middleStartIndex, middleEndIndex);
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validatedSet.push(...head);
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validatedSet.push(...middle);
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validatedSet.push(...tail);
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}
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sampledEntries.forEach((entry, index) => {
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if (!validatedSet[index]) {
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validatedSet[index] = {};
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}
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validatedSet[index][key] = entry[key];
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});
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});
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2020-06-12 08:22:36 +03:00
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} else {
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2020-07-06 15:28:30 +03:00
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validatedSet = data;
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2020-06-12 08:22:36 +03:00
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}
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2020-07-06 15:28:30 +03:00
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return validatedSet;
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2022-02-03 01:11:11 +03:00
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}
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2020-07-06 15:28:30 +03:00
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/**
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2020-07-09 11:52:12 +03:00
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* Detects supported data types and auto-detects following two needed for validation:
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2020-07-06 15:28:30 +03:00
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* 1. email
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* 2. stripe_customer_id
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*
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* Returned "mapping" object contains mappings that could be accepted by the API
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* to map validated types.
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* @param {Array} data sampled data containing non empty values
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*/
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_detectDataTypes(data) {
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2020-07-09 11:52:12 +03:00
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const supportedTypes = [
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'email',
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'name',
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'note',
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'subscribed_to_emails',
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'labels',
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'created_at'
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];
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const autoDetectedTypes = [
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2020-12-09 22:32:31 +03:00
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'email'
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2020-07-09 11:52:12 +03:00
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];
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2020-07-06 15:28:30 +03:00
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let mapping = {};
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let i = 0;
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// loopping through all sampled data until needed data types are detected
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while (i <= (data.length - 1)) {
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if (mapping.email && mapping.stripe_customer_id) {
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break;
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}
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let entry = data[i];
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for (const [key, value] of Object.entries(entry)) {
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if (!mapping.email && validator.isEmail(value)) {
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mapping.email = key;
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continue;
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}
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2020-08-20 06:04:35 +03:00
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if (!mapping.name && /name/.test(key)) {
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mapping.name = key;
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continue;
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}
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2020-07-09 11:52:12 +03:00
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if (!mapping[key] && supportedTypes.includes(key) && !(autoDetectedTypes.includes(key))) {
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mapping[key] = key;
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}
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2020-07-06 15:28:30 +03:00
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}
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i += 1;
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}
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return mapping;
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2020-06-12 08:22:36 +03:00
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}
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2022-02-03 01:11:11 +03:00
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}
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