kangkang/康康/Features/Capture/UnifiedCaptureFlow.swift

import SwiftUI
import SwiftData
import UIKit

/// 拍报告 → VL 识别 → 编辑 → 保存(图 + 结构化文本)
/// 一条统一流程,替代原 A1-A3 / B1-B5 两套 mockup。
///
/// 状态机:
/// ```
/// idle → captured(images) → analyzing → editing(parsed, assets)
///                              ↓ 失败
///                          editing(empty, assets)
/// editing → saved → dismiss
/// ```
struct UnifiedCaptureFlow: View {
    @Environment(\.modelContext) private var ctx
    let onClose: () -> Void

    @State private var phase: Phase = .idle

    enum Phase {
        case idle
        case analyzing(images: [UIImage])
        case editing(parsed: ParsedReport,
                     assets: [FileVault.SavedAsset],
                     warning: String?)
    }

    var body: some View {
        NavigationStack {
            content
                .background(Tj.Palette.sand.ignoresSafeArea())
                .toolbar {
                    ToolbarItem(placement: .topBarLeading) {
                        Button("取消") { onClose() }
                            .foregroundStyle(Tj.Palette.text)
                    }
                }
                .navigationTitle(phaseTitle)
                .navigationBarTitleDisplayMode(.inline)
        }
    }

    private var phaseTitle: String {
        switch phase {
        case .idle:       return "拍摄报告"
        case .analyzing:  return "本地识别中…"
        case .editing:    return "核对识别结果"
        }
    }

    @ViewBuilder
    private var content: some View {
        switch phase {
        case .idle:
            captureEntry
        case .analyzing(let images):
            AnalyzingView(images: images)
        case .editing(let parsed, let assets, let warning):
            CaptureReviewForm(
                parsed: parsed,
                assets: assets,
                warning: warning,
                onSave: { final in saveAll(parsed: final, assets: assets) },
                onCancel: onClose
            )
        }
    }

    // MARK: - 入口:相机 / 相册

    private var captureEntry: some View {
        #if targetEnvironment(simulator)
        PhotoPickerSheet(
            onFinish: { startAnalyze(images: $0) },
            onCancel: onClose
        )
        #else
        if DocumentScannerView.isSupported {
            DocumentScannerView(
                onFinish: { startAnalyze(images: $0) },
                onCancel: onClose
            )
            .ignoresSafeArea()
        } else {
            PhotoPickerSheet(
                onFinish: { startAnalyze(images: $0) },
                onCancel: onClose
            )
        }
        #endif
    }

    // MARK: - 启动识别

    private func startAnalyze(images: [UIImage]) {
        guard !images.isEmpty else { onClose(); return }
        phase = .analyzing(images: images)
        Task {
            do {
                let result = try await CaptureService.shared.analyze(images: images)
                await MainActor.run {
                    phase = .editing(
                        parsed: result.parsed,
                        assets: result.assets,
                        warning: result.parsed.isEmpty
                            ? "识别没有读出指标,请手动补充"
                            : nil
                    )
                }
            } catch let CaptureError.parseFailed(msg) {
                // 解析失败:仍然展示编辑表单,只是 indicators 为空,assets 已保存
                await fallbackToManual(images: images, msg: "VL 输出无法解析:\(msg)")
            } catch let CaptureError.inferenceFailed(msg) {
                await fallbackToManual(images: images, msg: "推理失败:\(msg)")
            } catch let CaptureError.modelNotReady {
                await fallbackToManual(images: images, msg: "VL 模型未就绪,先手动录入")
            } catch CaptureError.writeAssetFailed {
                await MainActor.run {
                    phase = .editing(
                        parsed: .empty(),
                        assets: [],
                        warning: "图片保存失败,手动录入并保留文本"
                    )
                }
            } catch {
                await fallbackToManual(images: images, msg: "未知错误:\(error.localizedDescription)")
            }
        }
    }

    private func fallbackToManual(images: [UIImage], msg: String) async {
        // 即便 VL 失败,图片应当已经写入了 Vault(在 CaptureService.analyze 第 1 步)。
        // 但若是 writeAsset 之前的失败(modelNotReady / inferenceFailed),
        // 这里再补一次写,保证图不丢。
        var assets: [FileVault.SavedAsset] = []
        for img in images {
            if let a = try? FileVault.shared.writeJPEG(img) { assets.append(a) }
        }
        await MainActor.run {
            phase = .editing(
                parsed: .empty(),
                assets: assets,
                warning: msg
            )
        }
    }

    // MARK: - 持久化

    private func saveAll(parsed final: ParsedReport,
                         assets: [FileVault.SavedAsset]) {
        let report = Report(
            title: final.title.isEmpty ? "拍摄识别" : final.title,
            type: ReportType(rawValue: final.typeRaw) ?? .other,
            reportDate: final.reportDate,
            institution: final.institution.isEmpty ? nil : final.institution,
            summary: final.summary.isEmpty ? nil : final.summary,
            pageCount: final.pageCount
        )
        ctx.insert(report)

        // 关联 Asset
        for a in assets {
            let asset = Asset(relativePath: a.relativePath, bytes: a.bytes)
            ctx.insert(asset)
            report.assets.append(asset)
        }

        // 关联 Indicator
        for ind in final.indicators {
            let i = Indicator(
                name: ind.name,
                value: ind.value,
                unit: ind.unit,
                range: ind.range,
                status: ind.status,
                capturedAt: final.reportDate,
                report: report
            )
            ctx.insert(i)
        }

        try? ctx.save()
        onClose()
    }
}

// MARK: - 分析中视图

private struct AnalyzingView: View {
    let images: [UIImage]

    var body: some View {
        VStack(spacing: 20) {
            Spacer()
            if let first = images.first {
                Image(uiImage: first)
                    .resizable()
                    .scaledToFit()
                    .frame(maxHeight: 240)
                    .clipShape(RoundedRectangle(cornerRadius: Tj.Radius.md, style: .continuous))
                    .overlay(
                        RoundedRectangle(cornerRadius: Tj.Radius.md, style: .continuous)
                            .strokeBorder(Tj.Palette.line, lineWidth: 1)
                    )
                    .overlay(
                        RoundedRectangle(cornerRadius: Tj.Radius.md, style: .continuous)
                            .fill(.ultraThinMaterial)
                            .overlay(
                                ProgressView().tint(Tj.Palette.ink).scaleEffect(1.4)
                            )
                    )
            }
            VStack(spacing: 6) {
                Text("本地识别中")
                    .font(.tjH2())
                    .foregroundStyle(Tj.Palette.text)
                Text("\(images.count) 页 · 100% 本地推理")
                    .font(.system(size: 12))
                    .foregroundStyle(Tj.Palette.text3)
            }
            Spacer()
        }
        .padding(.horizontal, 20)
        .frame(maxWidth: .infinity, maxHeight: .infinity)
    }
}