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import Foundation
import NaturalLanguage
/// Detects whether a caption is in a language the reader probably doesn't read,
/// which drives the "translate" affordance under a gallery description.
///
/// This exists as an actor because `NLLanguageRecognizer` is far too slow to run
/// inline during a scroll: profiling measured 2.6ms average and 13.4ms worst
/// case per call, against a 16.7ms frame budget — a single bad call could drop a
/// frame on its own. Running it off the main actor keeps it out of the way, and
/// memoizing by text means the repeated work disappears too, since the same
/// captions come back every time a card leaves and re-enters the lazy stack.
actor LanguageDetector {
static let shared = LanguageDetector()
private var cache: [String: Bool] = [:]
/// Cap chosen to comfortably cover a long scrolling session without letting
/// the cache grow unbounded. Cleared wholesale rather than evicting LRU —
/// a rebuild is cheap now that it's off the main thread.
private static let cacheLimit = 500
/// Fewer letters than this and the recogniser is guessing. It will still
/// name a language confidently for a caption that is only "#35mm" or an
/// emoji, which is how an offer to translate ends up under a caption that
/// has no prose in it at all.
private static let minimumLetters = 8
func isForeign(_ text: String) -> Bool {
if let cached = cache[text] {
return cached
}
let result = detect(text)
if cache.count >= Self.cacheLimit {
cache.removeAll(keepingCapacity: true)
}
cache[text] = result
return result
}
private func detect(_ text: String) -> Bool {
guard text.unicodeScalars.count(where: { CharacterSet.letters.contains($0) }) >= Self.minimumLetters else {
return false
}
let recognizer = NLLanguageRecognizer()
recognizer.processString(text)
guard let detected = recognizer.dominantLanguage?.rawValue else { return false }
let preferred = Locale.preferredLanguages.first ?? "en"
return !preferred.hasPrefix(detected)
}
}