Make suggestor suggest according to cldr annotations
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3 changed files with 64 additions and 19 deletions
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@ -13,10 +13,10 @@
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export default data => {
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const emojiCurry = suggestEmoji(data.emoji)
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const usersCurry = data.store && suggestUsers(data.store)
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return input => {
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return (input, nameKeywordLocalizer) => {
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const firstChar = input[0]
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if (firstChar === ':' && data.emoji) {
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return emojiCurry(input)
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return emojiCurry(input, nameKeywordLocalizer)
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}
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if (firstChar === '@' && usersCurry) {
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return usersCurry(input)
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@ -25,34 +25,34 @@ export default data => {
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}
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}
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export const suggestEmoji = emojis => input => {
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export const suggestEmoji = emojis => (input, nameKeywordLocalizer) => {
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const noPrefix = input.toLowerCase().substr(1)
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return emojis
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.filter(({ displayText }) => displayText.toLowerCase().match(noPrefix))
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.sort((a, b) => {
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let aScore = 0
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let bScore = 0
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.map(emoji => ({ ...emoji, ...nameKeywordLocalizer(emoji) }))
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.filter((emoji) => (emoji.names.concat(emoji.keywords)).filter(kw => kw.toLowerCase().match(noPrefix)).length)
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.map(k => {
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let score = 0
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// An exact match always wins
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aScore += a.displayText.toLowerCase() === noPrefix ? 200 : 0
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bScore += b.displayText.toLowerCase() === noPrefix ? 200 : 0
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score += Math.max(...k.names.map(name => name.toLowerCase() === noPrefix ? 200 : 0), 0)
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// Prioritize custom emoji a lot
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aScore += a.imageUrl ? 100 : 0
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bScore += b.imageUrl ? 100 : 0
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score += k.imageUrl ? 100 : 0
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// Prioritize prefix matches somewhat
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aScore += a.displayText.toLowerCase().startsWith(noPrefix) ? 10 : 0
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bScore += b.displayText.toLowerCase().startsWith(noPrefix) ? 10 : 0
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score += Math.max(...k.names.map(kw => kw.toLowerCase().startsWith(noPrefix) ? 10 : 0), 0)
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// Sort by length
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aScore -= a.displayText.length
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bScore -= b.displayText.length
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score -= k.displayText.length
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k.score = score
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return k
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})
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.sort((a, b) => {
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// Break ties alphabetically
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const alphabetically = a.displayText > b.displayText ? 0.5 : -0.5
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return bScore - aScore + alphabetically
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return b.score - a.score + alphabetically
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})
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}
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