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☝🏼👇🏼 Sorting the ComicVine search matches

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Rishi Ghan
2021-08-03 08:48:10 -07:00
parent 802dee8857
commit 7c3035fcd5
6 changed files with 29 additions and 133 deletions
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7
src/client/shared/utils/filenameparser.utils.ts
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@@ -68,7 +68,6 @@ export const preprocess = (inputString: string) => {
export const tokenize = (inputString: string) => {
const doc = nlp(inputString);
const sentence = doc.sentences().json();
const number = doc.numbers().fractions();
// regexes to match constituent parts of the search string
// and isolate the search terms
@@ -147,8 +146,8 @@ export const tokenize = (inputString: string) => {
export const extractNumerals = (inputString: string): MatchArray[string] => {
// Searches through the given string left-to-right, building an ordered list of
// "issue number-like" re.match objects. For example, this method finds
// matches substrings like: 3, #4, 5a, 6.00, 10.0b, .5, -1.0
// "issue number-like" re.match objects. For example, this method finds
// matches substrings like: 3, #4, 5a, 6.00, 10.0b, .5, -1.0
const matches: MatchArray[string] = [];
xregexp.forEach(inputString, /(^|[_\s#])(-?\d*\.?\d\w*)/gmu, (match) => {
matches.push(match);
@@ -156,7 +155,7 @@ export const extractNumerals = (inputString: string): MatchArray[string] => {
return matches;
};
export const refineQuery = (inputString) => {
export const refineQuery = (inputString: string) => {
const queryObj = tokenize(inputString);
const removedYears = xor(
queryObj.sentence_tokens.normalized,