import Foundation /// VL 模型(Qwen3-VL)用于体检 / 化验单识别的 prompt 模板。 /// 输出契约:严格 JSON,无任何解释文字、markdown 围栏或前后缀。 /// 解析失败 → CaptureService 回退到手动录入(§3.2 失败回退红线)。 enum VLPrompts { /// 输出 JSON 的字段定义(写进 prompt 里教模型): /// ``` /// { /// "title": "春季年度体检", // 报告抬头,无则 "拍摄识别" /// "type": "checkup|lab|imaging|prescription|other", /// "report_date": "YYYY-MM-DD", // 报告日期(无则今天) /// "institution": "XX 医院", // 可空字符串 /// "page_count": 1, /// "summary": "整体趋势短句", // 可空字符串 /// "indicators": [ /// { /// "name": "低密度脂蛋白", /// "value": "3.84", /// "unit": "mmol/L", /// "range": "< 3.40", /// "status": "high|low|normal" /// } /// ] /// } /// ``` /// `kind` 字段省略 —— UI 由 indicators 数量决定走 A2(单项)或 B3(多项)。 /// VL 模型不知"今天"是哪天,且 few-shot 示例里写死了日期, /// 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。 static func reportExtraction(today: Date = .now) -> String { let f = DateFormatter() f.locale = Locale(identifier: "en_US_POSIX") f.dateFormat = "yyyy-MM-dd" let todayStr = f.string(from: today) return reportExtractionTemplate.replacingOccurrences(of: "{{TODAY}}", with: todayStr) } private static let reportExtractionTemplate: String = #""" 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。 今天的日期是 {{TODAY}}。 JSON schema(严格): { "title": string, "type": "checkup" | "lab" | "imaging" | "prescription" | "other", "report_date": "YYYY-MM-DD", "institution": string, "page_count": number, "summary": string, "indicators": [ { "name": string, "value": string, "unit": string, "range": string, "status": "high" | "low" | "normal" } ] } 规则: - status 根据 value 与 range 自己判断:value > range 上限 → "high",< 下限 → "low",否则 → "normal"。 - 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。 - 无法识别的字段填空字符串(institution / summary)。 - 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。 - 不要发明指标。看不清的整行跳过。 - 化验单一般 type = "lab",体检套餐 = "checkup"。 示例 1(化验单 · 单项): 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」 输出: {"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"}]} 示例 2(体检 · 多项): 输入: 一份春季体检,3 项可读 输出: {"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"}]} 现在请识别图片并输出 JSON: """# }