Files
OSGKeyboard/OSGKeyboardShared/Services/AppGroupStore.swift
T
Rocky 7f059dbd45 feat: TypeWhisper Flow sessions, Phase 4 UX, and GitHub Pages privacy site
Migrate keyboard dictation to continuous Flow sessions with auto-start,
tap-to-toggle recording, 60s countdown, five-step onboarding, and App Group
IPC. Add docs/ GitHub Pages site with en/zh privacy policy for App Store compliance.
2026-06-19 18:05:50 +08:00

131 lines
4.7 KiB
Swift

// AppGroupStore.swift
// OSGKeyboard · Shared
//
// Convenience wrapper around App Group UserDefaults for non-Published reads.
// Used by the keyboard extension (no SwiftUI) to read config without
// instantiating an ObservableObject.
//
// `apiKey` is NOT read from UserDefaults — see `Keychain.swift`. We
// share access between the host app and the keyboard extension via a
// shared keychain-access-group declared in both targets' entitlements.
import Foundation
public struct AppGroupStore: @unchecked Sendable {
public let defaults: UserDefaults
public init(defaults: UserDefaults? = nil) {
if let defaults {
self.defaults = defaults
return
}
// Never hard-crash on implicit construction sites (e.g. default
// service initializers). If App Group is unavailable, use .standard
// so callers can still surface a user-facing setup error.
self.defaults = AppGroup.isAvailable ? AppGroup.defaults : .standard
}
// MARK: - Keys
private enum Key {
static let providerId = "config.providerId"
static let baseURL = "config.baseURL"
static let model = "config.model"
static let systemPrompt = "config.systemPrompt"
static let modeId = "config.modeId"
static let localeId = "config.localeId"
static let engineMode = "config.engineMode"
}
// MARK: - Reads
public var providerId: String {
defaults.string(forKey: Key.providerId) ?? "openai"
}
public var baseURL: String {
defaults.string(forKey: Key.baseURL) ?? LLMProvider.provider(id: providerId).defaultBaseURL
}
/// API key lives in the Keychain (cross-process, encrypted at rest).
/// Returns "" when nothing is stored so the LLMClient can surface a
/// `noAPIKey` error rather than firing off an obviously-bad request.
public var apiKey: String {
Keychain.apiKey() ?? ""
}
public var model: String {
defaults.string(forKey: Key.model) ?? LLMProvider.provider(id: providerId).defaultModel
}
public var systemPrompt: String {
defaults.string(forKey: Key.systemPrompt) ?? Self.defaultSystemPrompt(for: providerId)
}
public var modeId: String {
defaults.string(forKey: Key.modeId) ?? "polish"
}
public var localeId: String {
defaults.string(forKey: Key.localeId) ?? "auto"
}
/// "local" → on-device ASR only, no LLM polishing.
/// "cloud" → ASR + LLM polish (default behaviour).
public var engineMode: String {
defaults.string(forKey: Key.engineMode) ?? "cloud"
}
// MARK: - Writes
public func setModeId(_ id: String) {
defaults.set(id, forKey: Key.modeId)
}
public func setLocaleId(_ id: String) {
defaults.set(id, forKey: Key.localeId)
}
public func setEngineMode(_ mode: String) {
defaults.set(mode, forKey: Key.engineMode)
}
// MARK: - Client
public func makeClient() -> LLMClient {
OpenAICompatibleClient(
baseURL: baseURL,
apiKey: apiKey,
model: model
)
}
// MARK: - Defaults
/// Per-provider default system prompt. We bias the prompt by the
/// provider's *primary* language so Chinese LLMs naturally return
/// Chinese for Chinese input, and English LLMs stay terse.
public static func defaultSystemPrompt(for providerId: String) -> String {
switch providerId {
case "zhipu", "moonshot", "qwen", "deepseek":
return """
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:
1) 保留原意,不编造事实;保持输入语言。
2) 添加恰当的标点、大小写、段落。
3) 当用户枚举"第一…第二…第三…"时,使用 markdown 列表。
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)。
5) 只输出润色后的正文,不要解释、不要加引号。
"""
default:
return """
You are a voice-input polishing assistant. The user has spoken informally; rewrite their dictation as clean written text:
1) Preserve the user's original intent and meaning; do not invent facts.
2) Add proper punctuation, capitalization, and paragraph breaks.
3) When the user enumerates items ("first ... second ... third"), output a markdown list.
4) Keep the output concise — do not exceed 1.5x the spoken length. Drop filler words (um, uh, like).
5) Output in the same language as the input. No quotes, no explanation, no preamble.
"""
}
}
}