🔍 CV match scorer WIP
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@@ -158,7 +158,6 @@ export const extractNumerals = (inputString: string): MatchArray[string] => {
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export const refineQuery = (inputString) => {
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const queryObj = tokenize(inputString);
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console.log("QWEQWEQWE", queryObj);
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const removedYears = xor(
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queryObj.sentence_tokens.normalized,
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queryObj.years.yearMatches,
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@@ -1,17 +1,50 @@
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import { each, isUndefined, isNull } from "lodash";
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const stringSimilarity = require("string-similarity");
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/*
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* MIT License
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*
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* Copyright (c) 2015 Rishi Ghan
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*
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The MIT License (MIT)
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export const matchScorer = (searchMatches, searchQuery) => {
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Copyright (c) 2015 Rishi Ghan
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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*/
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/*
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* Revision History:
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* Initial: 2021/07/29 Rishi Ghan
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*/
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import { each, map, isUndefined, isNull, assign } from "lodash";
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const stringSimilarity = require("string-similarity");
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import axios from "axios";
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export const matchScorer = (searchMatches, searchQuery, rawFileDetails) => {
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// 1. Check if it exists in the db (score: 0)
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// 2. Check if issue name matches strongly (score: ++)
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// 3. Check if issue number matches strongly (score: ++)
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// 4. Check if issue covers hash match strongly (score: +++)
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// 5. Check if issue year matches strongly (score: +)
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const score = 0;
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each(searchMatches, (match, idx) => {
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console.log("SEARCH QUERY IN SMS:", searchQuery);
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console.log("MATCH NAME:", match);
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match.score = 0;
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each(searchMatches, (match, idx) => {
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// check for the issue name match
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if (
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!isNull(searchQuery.issue.searchParams.searchTerms.name) &&
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!isNull(match.name)
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@@ -21,7 +54,6 @@ export const matchScorer = (searchMatches, searchQuery) => {
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match.name,
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);
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match.score = issueNameScore;
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console.log("name score" + idx + ":", issueNameScore);
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}
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// issue number matches
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@@ -33,12 +65,37 @@ export const matchScorer = (searchMatches, searchQuery) => {
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parseInt(searchQuery.issue.searchParams.searchTerms.number, 10) ===
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parseInt(match.issue_number, 10)
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) {
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match.score += 2;
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console.log(match.score);
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match.score += 1;
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}
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}
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});
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return searchMatches;
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// check for the issue name match
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return match;
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});
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return searchMatches;
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};
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export const compareCoverImageHashes = (original, matches) => {
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// cover matches
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// calculate the image hashes of the covers and compare the Levenshtein Distance
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each(matches, async (match) => {
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const result = await axios.request({
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url: "http://localhost:3000/api/imagetransformation/calculateLevenshteinDistance",
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method: "POST",
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data: {
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imagePath: original.path,
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imagePath2: match.image.small_url,
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options: {
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match_id: match.id,
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},
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},
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});
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if (result.data.levenshteinDistance === 0) {
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match.score += 4;
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} else {
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match.score -= 4;
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}
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});
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return matches;
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};
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