c47e62b658
工程开了 SWIFT_DEFAULT_ACTOR_ISOLATION=MainActor，这三个纯值类型 enum 会被推成 MainActor 隔离，跨 actor 使用时报错： - CustomMetricNameConflict (CustomMetricEditor) - SeriesKind (SeriesBucket) - ExportTrendBuilder.Direction 已随 v1.1 (build 6) 一同编译上传。 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
256 lines
9.4 KiB
Swift
256 lines
9.4 KiB
Swift
import SwiftUI
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import SwiftData
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import Foundation
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/// 趋势桶的来源类别。
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/// - `.monitor`:长期监测预设 / 自定义 / 血压(按 seriesKey 分组)。
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/// - `.lab`:任意出现 ≥2 次的化验/手动/报告指标(按 name+unit 分组,无 seriesKey)。
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nonisolated enum SeriesKind { case monitor, lab }
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/// 长期监测系列在 Trends 折线图里的展示桶。
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/// 单系列(血糖/体重/...)= 1 个 SeriesLine;血压特殊 = 收缩 + 舒张 2 条线同卡。
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struct SeriesBucket: Identifiable {
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let id: String
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let title: String
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let unit: String
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let lines: [SeriesLine]
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let latestDate: Date
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let kind: SeriesKind
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struct SeriesLine: Identifiable {
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let id: String
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let seriesKey: String
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let label: String?
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let color: Color
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let points: [Point]
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let referenceRange: ClosedRange<Double>?
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var latestPoint: Point? { points.last }
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}
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struct Point: Identifiable, Hashable {
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let id: String
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let date: Date
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let value: Double
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let status: IndicatorStatus
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}
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}
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extension SeriesBucket {
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/// 把全表 Indicator(无 seriesKey 的会被跳过)折成 SeriesBucket 列表。
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/// 同 seriesKey 内按 capturedAt 升序;BP 两个 key 合并成一个 bucket;
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/// `minPoints` 以下的系列不返回,默认 2(单点不画线)。
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static func build(from indicators: [Indicator],
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profile: UserProfile? = nil,
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customMetrics: [CustomMonitorMetric] = [],
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minPoints: Int = 2) -> [SeriesBucket] {
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var buckets: [String: [Indicator]] = [:]
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for i in indicators {
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guard let key = i.seriesKey, !key.isEmpty else { continue }
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buckets[key, default: []].append(i)
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}
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// 合并血压
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let bpKeys: Set<String> = ["bp.systolic", "bp.diastolic"]
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let bpHasEnoughPoints = (buckets["bp.systolic"]?.count ?? 0) >= minPoints
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var results: [SeriesBucket] = []
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if bpHasEnoughPoints {
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results.append(buildBP(from: buckets, profile: profile))
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}
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for k in bpKeys { buckets.removeValue(forKey: k) }
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let customByKey: [String: CustomMonitorMetric] = Dictionary(
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uniqueKeysWithValues: customMetrics.map { ($0.seriesKey, $0) }
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)
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for (key, items) in buckets {
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guard items.count >= minPoints else { continue }
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if let bucket = buildSingle(key: key, items: items,
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profile: profile,
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custom: customByKey[key]) {
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results.append(bucket)
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}
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}
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// —— lab 段:任何没有 seriesKey 的指标,按 name+unit 归并;同名出现 ≥minPoints 次即成趋势。
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var labBuckets: [String: [Indicator]] = [:]
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for i in indicators {
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if let key = i.seriesKey, !key.isEmpty { continue } // seriesKey 指标只进 monitor 段
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let nk = normalizedKey(name: i.name, unit: i.unit)
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guard !nk.isEmpty else { continue }
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labBuckets[nk, default: []].append(i)
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}
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for (_, items) in labBuckets {
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guard items.count >= minPoints else { continue }
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if let bucket = buildLab(items: items) {
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results.append(bucket)
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}
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}
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return results.sorted { $0.latestDate > $1.latestDate }
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}
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/// name+unit 归一化:trim + 小写 + 折叠内部空白。空名返回空串(调用方跳过)。
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static func normalizedKey(name: String, unit: String) -> String {
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func norm(_ s: String) -> String {
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s.trimmingCharacters(in: .whitespacesAndNewlines)
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.lowercased()
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.components(separatedBy: .whitespacesAndNewlines)
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.filter { !$0.isEmpty }
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.joined(separator: " ")
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}
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let n = norm(name)
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guard !n.isEmpty else { return "" }
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return n + "|" + norm(unit)
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}
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/// 解析参考范围字符串 → ClosedRange。支持 "3.9-6.1" / "3.9~6.1" / "3.9 - 6.1"。
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/// 单边("<5.2" / ">40" / "≤120")暂返回 nil(图不画带,正常)。
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static func parseRange(_ raw: String) -> ClosedRange<Double>? {
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let s = raw.replacingOccurrences(of: "～", with: "~")
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.replacingOccurrences(of: "~", with: "-")
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guard let regex = try? NSRegularExpression(
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pattern: #"(\d+(?:\.\d+)?)\s*-\s*(\d+(?:\.\d+)?)"#
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) else { return nil }
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let range = NSRange(s.startIndex..<s.endIndex, in: s)
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guard let m = regex.firstMatch(in: s, range: range),
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let r1 = Range(m.range(at: 1), in: s),
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let r2 = Range(m.range(at: 2), in: s),
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let lo = Double(s[r1]), let hi = Double(s[r2]),
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lo <= hi else { return nil }
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return lo...hi
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}
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private static func buildLab(items: [Indicator]) -> SeriesBucket? {
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let sorted = items.sorted { $0.capturedAt < $1.capturedAt }
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guard let latest = sorted.last else { return nil }
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let points = sorted.compactMap { point(from: $0) }
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guard points.count >= 2 else { return nil } // 值无法解析为数字的会被丢弃,可能不足 2 点
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let line = SeriesLine(
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id: "lab:\(latest.name)",
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seriesKey: "lab:\(latest.name)",
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label: nil,
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color: Tj.Palette.teal,
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points: points,
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referenceRange: parseRange(latest.range)
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)
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return SeriesBucket(
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id: "lab:\(normalizedKey(name: latest.name, unit: latest.unit))",
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title: latest.name,
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unit: latest.unit,
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lines: [line],
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latestDate: latest.capturedAt,
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kind: .lab
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)
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}
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private static func buildSingle(key: String,
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items: [Indicator],
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profile: UserProfile?,
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custom: CustomMonitorMetric? = nil) -> SeriesBucket? {
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let sorted = items.sorted { $0.capturedAt < $1.capturedAt }
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guard let latest = sorted.last else { return nil }
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// 优先 custom,其次 builtin metric,最后 fallback 到 Indicator 自身
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let metric = monitorMetric(for: key)
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let field = metric?.fields.first { $0.seriesKey == key }
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let title = custom?.name
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?? metric?.displayName
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?? sorted.first?.name
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?? key
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let unit = custom?.unit.nonEmptyOr(nil)
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?? field?.unit
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?? sorted.first?.unit
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?? ""
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let range = custom?.referenceRange
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?? field.flatMap { metric?.effectiveRange(for: $0, profile: profile) }
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let line = SeriesLine(
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id: key,
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seriesKey: key,
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label: nil,
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color: Tj.Palette.teal,
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points: sorted.compactMap { point(from: $0) },
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referenceRange: range
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)
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return SeriesBucket(
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id: key,
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title: title,
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unit: unit,
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lines: [line],
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latestDate: latest.capturedAt,
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kind: .monitor
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)
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}
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private static func buildBP(from buckets: [String: [Indicator]],
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profile: UserProfile?) -> SeriesBucket {
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let m = MonitorMetric.bloodPressure
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let sysField = m.fields[0]
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let diaField = m.fields[1]
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let sysItems = (buckets["bp.systolic"] ?? []).sorted { $0.capturedAt < $1.capturedAt }
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let diaItems = (buckets["bp.diastolic"] ?? []).sorted { $0.capturedAt < $1.capturedAt }
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let sysLine = SeriesLine(
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id: "bp.systolic",
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seriesKey: "bp.systolic",
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label: String(appLoc: "收缩"),
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color: Tj.Palette.teal,
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points: sysItems.compactMap { point(from: $0) },
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referenceRange: m.effectiveRange(for: sysField, profile: profile)
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)
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let diaLine = SeriesLine(
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id: "bp.diastolic",
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seriesKey: "bp.diastolic",
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label: String(appLoc: "舒张"),
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color: Tj.Palette.leaf,
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points: diaItems.compactMap { point(from: $0) },
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referenceRange: m.effectiveRange(for: diaField, profile: profile)
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)
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let latest = max(
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sysItems.last?.capturedAt ?? .distantPast,
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diaItems.last?.capturedAt ?? .distantPast
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)
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// 只保留有数据点的线:某一路(收缩/舒张)为空时不画空线 + 残缺图例。
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let lines = [sysLine, diaLine].filter { !$0.points.isEmpty }
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return SeriesBucket(
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id: "bp",
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title: String(appLoc: "血压"),
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unit: "mmHg",
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lines: lines,
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latestDate: latest,
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kind: .monitor
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)
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}
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private static func point(from i: Indicator) -> Point? {
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guard let v = Double(i.value.trimmingCharacters(in: .whitespaces)) else { return nil }
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return Point(
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id: "\(i.persistentModelID)",
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date: i.capturedAt,
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value: v,
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status: i.status
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)
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}
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private static func monitorMetric(for seriesKey: String) -> MonitorMetric? {
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MonitorMetric.allCases.first { m in
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m.fields.contains { $0.seriesKey == seriesKey }
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}
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}
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}
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private extension String {
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/// 空串 → fallback;非空 → 自身。
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func nonEmptyOr(_ fallback: String?) -> String? {
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trimmingCharacters(in: .whitespaces).isEmpty ? fallback : self
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}
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}
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