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api
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Switch to res.data instead of req.results.data

pull/274/head
Diana Shkolnikov 9 years ago
parent
1752155e0d
commit
f63533dd9c
2 changed files with 103 additions and 115 deletions
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  1. 58
      middleware/confidenceScoreReverse.js
  2. 108
      test/unit/middleware/confidenceScoreReverse.js

58
middleware/confidenceScoreReverse.js
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@ -3,19 +3,23 @@ var _ = require('lodash');
// these are subjective terms, but wanted to add shortcuts to denote something
// about importance
var EXACT = 1.0;
var EXCELLENT = 0.9;
var GOOD = 0.8;
var OKAY = 0.7;
var POOR = 0.6;
var NONE = 0.5;
var INVALID = 0.0;
var SCORES = {
EXACT: 1.0,
EXCELLENT: 0.9,
GOOD: 0.8,
OKAY: 0.7,
POOR: 0.6,
NONE: 0.5,
INVALID: 0.0
};
var _1_METER = 1;
var _10_METERS = 10;
var _100_METERS = 100;
var _250_METERS = 250;
var _1_KILOMETER = 1000;
var BUCKETS = {
_1_METER: 1,
_10_METERS: 10,
_100_METERS: 100,
_250_METERS: 250,
_1_KILOMETER: 1000
};
function setup() {
return computeScores;
@ -23,38 +27,38 @@ function setup() {
function computeScores(req, res, next) {
// do nothing if no result data set
if (!req.results || !req.results.data) {
if (!res.data || !res.data) {
return next();
}
// loop through data items and determine confidence scores
req.results.data = req.results.data.map(computeConfidenceScore.bind(null, req));
res.data = res.data.map(computeConfidenceScore);
next();
}
function computeConfidenceScore(req, hit) {
function computeConfidenceScore(hit) {
// non-number or invalid distance should be given confidence 0.0
if (!_.isFinite(hit.distance) || hit.distance < 0) {
hit.confidence = INVALID;
hit.confidence = SCORES.INVALID;
return hit;
}
var distance = hit.distance * 1000.0;
// figure out which range the distance lies in and assign confidence accordingly
if (distance < _1_METER) {
hit.confidence = EXACT;
} else if (distance < _10_METERS) {
hit.confidence = EXCELLENT;
} else if (distance < _100_METERS) {
hit.confidence = GOOD;
} else if (distance < _250_METERS) {
hit.confidence = OKAY;
} else if (distance < _1_KILOMETER) {
hit.confidence = POOR;
if (distance < BUCKETS._1_METER) {
hit.confidence = SCORES.EXACT;
} else if (distance < BUCKETS._10_METERS) {
hit.confidence = SCORES.EXCELLENT;
} else if (distance < BUCKETS._100_METERS) {
hit.confidence = SCORES.GOOD;
} else if (distance < BUCKETS._250_METERS) {
hit.confidence = SCORES.OKAY;
} else if (distance < BUCKETS._1_KILOMETER) {
hit.confidence = SCORES.POOR;
} else {
hit.confidence = NONE;
hit.confidence = SCORES.NONE;
}
return hit;

108
test/unit/middleware/confidenceScoreReverse.js
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@ -3,11 +3,11 @@ var confidenceScoreReverse = require('../../../middleware/confidenceScoreReverse
module.exports.tests = {};
module.exports.tests.confidenceScoreReverse = function(test, common) {
test('req without results should not throw exception', function(t) {
var req = {};
test('res without results should not throw exception', function(t) {
var res = {};
try {
confidenceScoreReverse(req, null, function() {});
confidenceScoreReverse(null, res, function() {});
}
catch (e) {
t.fail('an exception should not have been thrown');
@ -18,13 +18,13 @@ module.exports.tests.confidenceScoreReverse = function(test, common) {
});
test('req.results without data should not throw exception', function(t) {
var req = {
test('res.results without data should not throw exception', function(t) {
var res = {
results: {}
};
try {
confidenceScoreReverse(req, null, function() {});
confidenceScoreReverse(null, res, function() {});
}
catch (e) {
t.fail('an exception should not have been thrown');
@ -36,146 +36,130 @@ module.exports.tests.confidenceScoreReverse = function(test, common) {
});
test('0m <= distance < 1m should be given score 1.0', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 0.0000 / 1000.0 },
{ distance: 0.9999 / 1000.0 }
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 1.0, 'score should be exact confidence');
t.equal(req.results.data[1].confidence, 1.0, 'score should be exact confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 1.0, 'score should be exact confidence');
t.equal(res.data[1].confidence, 1.0, 'score should be exact confidence');
t.end();
});
});
test('1m <= distance < 10m should be given score 0.9', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 1.0000 / 1000.0 },
{ distance: 9.9999 / 1000.0 }
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.9, 'score should be excellent confidence');
t.equal(req.results.data[1].confidence, 0.9, 'score should be excellent confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.9, 'score should be excellent confidence');
t.equal(res.data[1].confidence, 0.9, 'score should be excellent confidence');
t.end();
});
});
test('10m <= distance < 100m should be given score 0.8', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 10.0000 / 1000.0 },
{ distance: 99.9999 / 1000.0 }
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.8, 'score should be good confidence');
t.equal(req.results.data[1].confidence, 0.8, 'score should be good confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.8, 'score should be good confidence');
t.equal(res.data[1].confidence, 0.8, 'score should be good confidence');
t.end();
});
});
test('100m <= distance < 250m should be given score 0.7', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 100.0000 / 1000.0 },
{ distance: 249.9999 / 1000.0 }
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.7, 'score should be okay confidence');
t.equal(req.results.data[1].confidence, 0.7, 'score should be okay confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.7, 'score should be okay confidence');
t.equal(res.data[1].confidence, 0.7, 'score should be okay confidence');
t.end();
});
});
test('250m <= distance < 1000m should be given score 0.6', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 250.0000 / 1000.0 },
{ distance: 999.9999 / 1000.0 }
{distance: 250.0000 / 1000.0},
{distance: 999.9999 / 1000.0}
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.6, 'score should be poor confidence');
t.equal(req.results.data[1].confidence, 0.6, 'score should be poor confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.6, 'score should be poor confidence');
t.equal(res.data[1].confidence, 0.6, 'score should be poor confidence');
t.end();
});
});
test('distance >= 1000m should be given score 0.5', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: 1000.0 / 1000.0 },
{ distance: 2000.0 / 1000.0 }
{distance: 1000.0 / 1000.0},
{distance: 2000.0 / 1000.0}
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.5, 'score should be least confidence');
t.equal(req.results.data[1].confidence, 0.5, 'score should be least confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.5, 'score should be least confidence');
t.equal(res.data[1].confidence, 0.5, 'score should be least confidence');
t.end();
});
});
test('distance < 0 (invalid) should be given score 0.0', function(t) {
var req = {
results: {
var res = {
data: [
{ distance: -1.0000 / 1000.0 }
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.0, 'score should be 0.0 confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.0, 'score should be 0.0 confidence');
t.end();
});
});
test('non-number-type (invalid) distance should be given score 0.0', function(t) {
var req = {
results: {
var res = {
data: [
{},
{ distance: [] },
{ distance: {} },
{ distance: 'this is not a number' }
{distance: []},
{distance: {}},
{distance: 'this is not a number'}
]
}
};
confidenceScoreReverse(req, null, function() {
t.equal(req.results.data[0].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(req.results.data[1].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(req.results.data[2].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(req.results.data[3].confidence, 0.0, 'score should be 0.0 confidence');
confidenceScoreReverse(null, res, function() {
t.equal(res.data[0].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(res.data[1].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(res.data[2].confidence, 0.0, 'score should be 0.0 confidence');
t.equal(res.data[3].confidence, 0.0, 'score should be 0.0 confidence');
t.end();
});

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