d2c77d5c51
主体:多语言支持(简体中文源 + 英/日/韩)
- 基础设施:Localizable.xcstrings(String Catalog,sourceLanguage=zh-Hans)
+ pbxproj developmentRegion/knownRegions 注册 en/ja/ko
- 全部硬编码 Locale("zh_CN") → Locale.current;中文 dateFormat → Date.FormatStyle(跟随系统)
- UI 中文字面量统一为 String(appLoc:)(显式绑定所选语言 bundle+locale,即时切换)
Text 字面量走环境 \.locale + Bundle 重定向
- 549 个 catalog key 全部 en/ja/ko 翻译完成(0 未翻译)
- App 内语言切换:我的 → 语言(LanguageManager + 即时生效,无需重启)
- 双用预设(症状/监测指标/慢病)本地化:static→computed 避免缓存
注:本提交为 WIP,一并打包了并行进行的功能模块
(HealthExport 健康导出、Security/Face ID 锁、DiaryAssist 日记 AI 辅助)
及 App 图标、CLAUDE.md、docs/scripts。
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
85 lines
3.7 KiB
Swift
85 lines
3.7 KiB
Swift
import Foundation
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/// VL 模型(Qwen3-VL)用于体检 / 化验单识别的 prompt 模板。
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/// 输出契约:严格 JSON,无任何解释文字、markdown 围栏或前后缀。
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/// 解析失败 → CaptureService 回退到手动录入(§3.2 失败回退红线)。
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enum VLPrompts {
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/// 输出 JSON 的字段定义(写进 prompt 里教模型):
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/// ```
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/// {
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/// "title": "春季年度体检", // 报告抬头,无则 "拍摄识别"
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/// "type": "checkup|lab|imaging|prescription|other",
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/// "report_date": "YYYY-MM-DD", // 报告日期(无则今天)
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/// "institution": "XX 医院", // 可空字符串
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/// "page_count": 1,
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/// "summary": "整体趋势短句", // 可空字符串
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/// "indicators": [
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/// {
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/// "name": "低密度脂蛋白",
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/// "value": "3.84",
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/// "unit": "mmol/L",
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/// "range": "< 3.40",
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/// "status": "high|low|normal"
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/// }
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/// ]
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/// }
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/// ```
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/// `kind` 字段省略 —— UI 由 indicators 数量决定走 A2(单项)或 B3(多项)。
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/// VL 模型不知"今天"是哪天,且 few-shot 示例里写死了日期,
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/// 必须把当天日期显式注入 prompt,模型在无报告日期时才会用对正确的回退值。
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static func reportExtraction(today: Date = .now) -> String {
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let f = DateFormatter()
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f.locale = Locale(identifier: "en_US_POSIX")
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f.dateFormat = "yyyy-MM-dd"
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let todayStr = f.string(from: today)
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return reportExtractionTemplate.replacingOccurrences(of: "{{TODAY}}", with: todayStr)
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}
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private static let reportExtractionTemplate: String = #"""
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你是一个医学体检报告识别助手。请只输出一段合法 JSON,不要解释、不要 markdown 围栏、不要任何前后缀文字。
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今天的日期是 {{TODAY}}。
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JSON schema(严格):
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{
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"title": string,
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"type": "checkup" | "lab" | "imaging" | "prescription" | "other",
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"report_date": "YYYY-MM-DD",
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"institution": string,
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"page_count": number,
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"summary": string,
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"indicators": [
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{
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"name": string,
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"value": string,
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"unit": string,
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"range": string,
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"status": "high" | "low" | "normal"
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}
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]
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}
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规则:
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- status 根据 value 与 range 自己判断:value > range 上限 → "high",< 下限 → "low",否则 → "normal"。
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- range 字段保留原文(如 "< 3.40"、"3.9 - 6.1"、"0 - 5"),不要解析成区间对象。
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- 无法识别的字段填空字符串(institution / summary)。
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- report_date 必须从图片中识别;实在看不清就填上面给出的「今天」({{TODAY}})。下面示例里的日期只是格式参考,不要直接抄。
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- 不要发明指标。看不清的整行跳过。
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- 化验单一般 type = "lab",体检套餐 = "checkup"。
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示例 1(化验单 · 单项):
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输入: 一张化验单照片,只能看清「低密度脂蛋白 3.84 mmol/L 参考 <3.40」
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输出:
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{"title":"低密度脂蛋白单项","type":"lab","report_date":"2026-05-25","institution":"","page_count":1,"summary":"","indicators":[{"name":"低密度脂蛋白","value":"3.84","unit":"mmol/L","range":"< 3.40","status":"high"}]}
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示例 2(体检 · 多项):
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输入: 一份春季体检,3 项可读
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输出:
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{"title":"春季年度体检","type":"checkup","report_date":"2026-04-12","institution":"协和医院","page_count":1,"summary":"血脂偏高、其他正常","indicators":[{"name":"低密度脂蛋白","value":"3.84","unit":"mmol/L","range":"< 3.40","status":"high"},{"name":"谷丙转氨酶","value":"32","unit":"U/L","range":"9 - 50","status":"normal"},{"name":"空腹血糖","value":"5.2","unit":"mmol/L","range":"3.9 - 6.1","status":"normal"}]}
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现在请识别图片并输出 JSON:
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"""#
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}
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