compassql
Version:
CompassQL visualization query language
51 lines • 1.91 kB
JavaScript
import { isFieldQuery } from '../query/encoding';
export const name = 'fieldOrder';
/**
* Return ranking score based on indices of encoded fields in the schema.
* If there are multiple fields, prioritize field on the lower indices of encodings.
*
* For example, to compare two specs with two encodings each,
* first we compare the field on the 0-th index
* and only compare the field on the 1-th index only if the fields on the 0-th index are the same.
*/
export function score(specM, schema, _) {
const fieldWildcardIndices = specM.wildcardIndex.encodingIndicesByProperty.get('field');
if (!fieldWildcardIndices) {
return {
score: 0,
features: []
};
}
const encodings = specM.specQuery.encodings;
const numFields = schema.fieldSchemas.length;
const features = [];
let totalScore = 0, base = 1;
for (let i = fieldWildcardIndices.length - 1; i >= 0; i--) {
const index = fieldWildcardIndices[i];
const encoding = encodings[index];
// Skip ValueQuery as we only care about order of fields.
let field;
if (isFieldQuery(encoding)) {
field = encoding.field;
}
else { // ignore ValueQuery / AutoCountQuery
continue;
}
const fieldWildcard = specM.wildcardIndex.encodings[index].get('field');
const fieldIndex = schema.fieldSchema(field).index;
// reverse order field with lower index should get higher score and come first
const score = -fieldIndex * base;
totalScore += score;
features.push({
score: score,
type: 'fieldOrder',
feature: `field ${fieldWildcard.name} is ${field} (
});
base *= numFields;
}
return {
score: totalScore,
features: features
};
}
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