df1c5ff32c
Replace MLX GPU inference with CoreML bundles so transcription continues while the host app is backgrounded. Adds model download and warm-up, vendored Qwen3Speech, and updates onboarding, settings, and copy for the ~1.6 GB CoreML package (iOS 18+).
154 lines
5.7 KiB
Swift
154 lines
5.7 KiB
Swift
// AppGroupStore.swift
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// OSGKeyboard · Shared
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//
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// Convenience wrapper around App Group UserDefaults for non-Published reads.
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// Used by the keyboard extension (no SwiftUI) to read config without
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// instantiating an ObservableObject.
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//
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// `apiKey` is NOT read from UserDefaults — see `Keychain.swift`. We
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// share access between the host app and the keyboard extension via a
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// shared keychain-access-group declared in both targets' entitlements.
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import Foundation
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public struct AppGroupStore: @unchecked Sendable {
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public let defaults: UserDefaults
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public init(defaults: UserDefaults? = nil) {
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if let defaults {
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self.defaults = defaults
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return
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}
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// Never hard-crash on implicit construction sites (e.g. default
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// service initializers). If App Group is unavailable, use .standard
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// so callers can still surface a user-facing setup error.
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self.defaults = AppGroup.isAvailable ? AppGroup.defaults : .standard
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}
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// MARK: - Keys
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private enum Key {
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static let providerId = "config.providerId"
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static let baseURL = "config.baseURL"
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static let model = "config.model"
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static let systemPrompt = "config.systemPrompt"
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static let modeId = "config.modeId"
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static let localeId = "config.localeId"
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static let engineMode = "config.engineMode"
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static let localASRBackend = "config.localASRBackend"
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static let uiLanguage = "config.uiLanguage"
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}
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// MARK: - Reads
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public var providerId: String {
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defaults.string(forKey: Key.providerId) ?? "openai"
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}
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public var baseURL: String {
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defaults.string(forKey: Key.baseURL) ?? LLMProvider.provider(id: providerId).defaultBaseURL
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}
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/// API key lives in the Keychain (cross-process, encrypted at rest).
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/// Returns "" when nothing is stored so the LLMClient can surface a
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/// `noAPIKey` error rather than firing off an obviously-bad request.
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public var apiKey: String {
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Keychain.apiKey() ?? ""
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}
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public var model: String {
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defaults.string(forKey: Key.model) ?? LLMProvider.provider(id: providerId).defaultModel
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}
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public var systemPrompt: String {
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defaults.string(forKey: Key.systemPrompt) ?? Self.defaultSystemPrompt(for: providerId)
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}
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public var modeId: String {
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defaults.string(forKey: Key.modeId) ?? "polish"
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}
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public var localeId: String {
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defaults.string(forKey: Key.localeId) ?? "auto"
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}
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/// "local" → on-device ASR only (raw transcript delivery).
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/// "cloud" → ASR + LLM polish (default behaviour).
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public var engineMode: String {
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defaults.string(forKey: Key.engineMode) ?? "cloud"
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}
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/// Which on-device ASR engine backs the "local" engine mode. Falls
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/// back to the iOS SpeechAnalyzer path so legacy installs (which
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/// never wrote this key) keep working.
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public var localASRBackend: LocalASRBackend {
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let raw = defaults.string(forKey: Key.localASRBackend) ?? LocalASRBackend.speechAnalyzer.rawValue
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return LocalASRBackend(rawValue: raw) ?? .speechAnalyzer
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}
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/// Host-app UI language override (`auto` / `en` / `zh-Hans`).
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public var uiLanguage: AppUILanguage {
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AppUILanguage.fromStored(defaults.string(forKey: Key.uiLanguage))
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}
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// MARK: - Writes
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public func setModeId(_ id: String) {
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defaults.set(id, forKey: Key.modeId)
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}
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public func setLocaleId(_ id: String) {
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defaults.set(id, forKey: Key.localeId)
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}
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public func setEngineMode(_ mode: String) {
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defaults.set(mode, forKey: Key.engineMode)
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}
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public func setLocalASRBackend(_ backend: LocalASRBackend) {
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defaults.set(backend.rawValue, forKey: Key.localASRBackend)
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}
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public func setUILanguage(_ language: AppUILanguage) {
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defaults.set(language.rawValue, forKey: Key.uiLanguage)
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}
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// MARK: - Client
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public func makeClient() -> LLMClient {
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OpenAICompatibleClient(
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baseURL: baseURL,
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apiKey: apiKey,
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model: model
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)
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}
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// MARK: - Defaults
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/// Per-provider default system prompt. We bias the prompt by the
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/// provider's *primary* language so Chinese LLMs naturally return
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/// Chinese for Chinese input, and English LLMs stay terse.
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public static func defaultSystemPrompt(for providerId: String) -> String {
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switch providerId {
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case "zhipu", "moonshot", "qwen", "deepseek":
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return """
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你是一位语音输入润色助手。请将用户的口述改写为干净的中文(或英文)书面文字:
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1) 保留原意,不编造事实;保持输入语言。
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2) 添加恰当的标点、大小写、段落。
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3) 当用户枚举"第一…第二…第三…"时,使用 markdown 列表。
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4) 简洁,不超出原长 1.5 倍;可去掉无意义的口头禅(嗯、啊、那个)。
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5) 只输出润色后的正文,不要解释、不要加引号。
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"""
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default:
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return """
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You are a voice-input polishing assistant. The user has spoken informally; rewrite their dictation as clean written text:
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1) Preserve the user's original intent and meaning; do not invent facts.
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2) Add proper punctuation, capitalization, and paragraph breaks.
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3) When the user enumerates items ("first ... second ... third"), output a markdown list.
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4) Keep the output concise — do not exceed 1.5x the spoken length. Drop filler words (um, uh, like).
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5) Output in the same language as the input. No quotes, no explanation, no preamble.
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"""
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}
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}
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}
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