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/**
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*
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* Basic confidence score should be computed and returned for each item in the results.
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* The score should range between 0-1, and take into consideration as many factors as possible.
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*
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* Some factors to consider:
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*
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* - number of results from ES
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* - fallback status (aka layer match between expected and actual)
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*/
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var check = require('check-types');
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var logger = require('pelias-logger').get('api-confidence');
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function setup() {
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return computeScores;
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}
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function computeScores(req, res, next) {
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// do nothing if no result data set or if the query is not of the fallback variety
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// later add disambiguation to this list
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if (check.undefined(req.clean) || check.undefined(res) ||
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check.undefined(res.data) || check.undefined(res.meta) ||
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res.meta.query_type !== 'fallback') {
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return next();
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}
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// loop through data items and determine confidence scores
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res.data = res.data.map(computeConfidenceScore.bind(null, req));
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next();
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}
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/**
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* Check all types of things to determine how confident we are that this result
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* is correct.
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*
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* @param {object} req
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* @param {object} hit
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* @returns {object}
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*/
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function computeConfidenceScore(req, hit) {
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// if parsed text doesn't exist, which it never should, just assign a low confidence and move on
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if (!req.clean.hasOwnProperty('parsed_text')) {
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hit.confidence = 0.1;
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hit.match_type = 'unknown';
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return hit;
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}
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// start with a confidence level of 1 because we trust ES queries to be accurate
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hit.confidence = 1.0;
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// in the case of fallback there might be deductions
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hit.confidence *= checkFallbackLevel(req, hit);
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// truncate the precision
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hit.confidence = Number((hit.confidence).toFixed(3));
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return hit;
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}
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function checkFallbackLevel(req, hit) {
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if (checkFallbackOccurred(req, hit)) {
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hit.match_type = 'fallback';
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// if we know a fallback occurred, deduct points based on layer granularity
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switch (hit.layer) {
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case 'venue':
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case 'address':
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logger.warn('Fallback scenarios should not result in address or venue records!', req.clean.parsed_text);
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return 0.8;
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case 'street':
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return 0.8;
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case 'locality':
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case 'borough':
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case 'neighbourhood':
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return 0.6;
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case 'macrocounty':
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case 'county':
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case 'localadmin':
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return 0.4;
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case 'region':
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return 0.3;
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case 'country':
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case 'dependency':
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case 'macroregion':
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return 0.1;
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default:
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return 0.1;
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}
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}
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hit.match_type = 'exact';
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return 1.0;
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}
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function checkFallbackOccurred(req, hit) {
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return (requestedAddress(req) && hit.layer !== 'address') ||
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(requestedStreet(req) && hit.layer !== 'street') ||
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(requestedCity(req) && hit.layer !== 'locality');
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}
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function requestedAddress(req) {
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// house number and street name were specified
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return req.clean.parsed_text.hasOwnProperty('number') &&
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req.clean.parsed_text.hasOwnProperty('street');
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}
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function requestedStreet(req) {
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// only street name was specified
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return !req.clean.parsed_text.hasOwnProperty('number') &&
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req.clean.parsed_text.hasOwnProperty('street');
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}
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function requestedCity(req) {
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return req.clean.parsed_text.hasOwnProperty('city');
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}
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module.exports = setup;
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