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%% v1.1 正式技术方案 — 4 个时序图
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%% ========== 时序 ①：点选-广播-落库 ==========
sequenceDiagram
    autonumber
    actor Emp as 员工
    participant MB as MessageBubble
    participant Store as ConversationStore
    participant WS as ws._handle_option_select
    participant DB as PostgreSQL
    participant WSM as ws_manager
    participant Obs as BackendObserver
    participant Task as process_h5_ai_reply

    Emp->>MB: 点击 option
    MB->>Store: sendOptionSelect(value, label, sourceId, qId, oId)
    Note over Store: lastSentOptionContent=label<br/>optionSubmitting=true<br/>5 重 UUID 守卫判定
    Store->>WS: option_select(6 字段 + client_msg_id)
    WS->>WS: UUID 校验
    WS->>DB: BEGIN + pg_advisory_xact_lock
    WS->>DB: SELECT 5s 内同 UUID
    alt 5s 内重复命中
        DB-->>WS: dup row returned
        WS-->>Store: 无副作用，结束
    else 首次受理
        WS->>DB: INSERT Message(msg_type=option_select)
        DB-->>WS: commit_ts = T1
        Note over WS,WSM: ★ v1.1 T03: 同步推员工端
        WS->>WSM: broadcast_to_employees([employee_id], new_message)
        WSM-->>Store: new_message (employee 端)
        Store->>Store: trackProcessedMessageId + push message
        Note over Store: 员工立即看到 ✓ 气泡
        WS->>WSM: broadcast(new_message) - 坐席
        WSM-->>Obs: 记录 broadcast_ts = T2
        Obs-->>Obs: option_select_broadcast_latency_ms = T2 - T1
        WS->>Task: create_task(process_h5_ai_reply)
    end

%% ========== 时序 ②：AI 回复回流 ==========

sequenceDiagram
    autonumber
    participant Dify as Dify Workflow
    participant Task as process_h5_ai_reply
    participant DB as PostgreSQL
    participant WSM as ws_manager
    participant WS as H5 useH5WebSocket
    participant Store as ConversationStore
    participant MB as MessageBubble

    Dify-->>Task: 返回结构化 reply (ai_text 或 still_thinking)
    alt Dify 正常返回
        Task->>DB: INSERT Message(ai_text)
        DB-->>Task: commit
    else Dify 超时 ≥ 15s
        Note over Task: ★ v1.1 T03: still_thinking 兜底<br/>主动补发 option_select_confirm
        Task->>WSM: broadcast_to_employees(option_select_confirm)
    end
    Task->>WSM: broadcast_to_employees(ai_reply)
    WSM->>WS: ai_reply { type: "ai_reply", data: {...} }
    WS->>Store: handleAiReply(data)
    Note over Store: ★ v1.1 Bug 4 软校验:<br/>conversation_id 不匹配 → console.warn<br/>但不再 return<br/>仅 message_id 已去重才 return
    Store->>Store: trackProcessedMessageId(message_id)
    Store->>Store: messages.value.push(finalMessage)
    Store-->>MB: reactive 触发重渲
    MB->>MB: 显示 AI 答案气泡（打字机逐字）
    Note over MB: ★ v1.1 T02 派生:<br/>isOptionSelected 从 messages 过滤<br/>不再依赖内存 ref

%% ========== 时序 ③：视觉分组 ==========

sequenceDiagram
    autonumber
    actor Emp as 员工
    participant Store as ConversationStore
    participant Panel as ChatPanel
    participant MB as MessageBubble

    Note over Store: messages 序列示例:<br/>[ai_structured Q1]<br/>[option_select Q1.optA] 第 1 次<br/>[ai_text 回复1]<br/>[option_select Q1.optB] 第 2 次（重选）<br/>[ai_text 回复2]

    Emp->>Store: 选 Q1.optB
    Store->>Store: sendOptionSelect → WS send
    Note over Store: groupedMessagesByQuestion (v1.1 ★)<br/>按 question_id 相邻聚合<br/>折叠 Q1.optA，激活 Q1.optB

    Panel->>MB: v-for msg in groupedMessages
    MB->>MB: option_select 模板加 data-question-id
    alt collapsed (历史同题选项)
        MB->>MB: class=message-bubble--option-select collapsed<br/>背景灰底 + 折叠图标 ▾
    else active (本次选项)
        MB->>MB: class=message-bubble--option-select active<br/>蓝底 + ✓
    end
    MB->>MB: ai_text 紧随其后，按时间顺序独立出现
    Note over MB: 3 个 UI 元素顺序独立:<br/>① ✓当前 ② AI 思考占位 ③ AI 答案

%% ========== 时序 ④：时延监控 ==========

sequenceDiagram
    autonumber
    actor Emp as 员工 (Chromium A)
    actor Agent as 坐席 (Chromium B)
    participant H5Emp as H5 useH5WebSocket
    participant H5Agt as H5 useH5WebSocket
    participant WS as ws._handle_option_select
    participant WSM as ws_manager
    participant Obs as BackendObserver
    participant Script as measure-option-latency.mjs

    Script->>Script: 启动双 context + login 双方
    Script->>Script: t0_start = performance.now()

    Emp->>H5Emp: click option
    H5Emp->>WS: option_select payload (含 client_msg_id UUID)
    H5Emp->>H5Emp: 记录 client_send_ts = T0

    WS->>WSM: broadcast_to_employees + broadcast
    WSM->>H5Agt: new_message(option_select)
    H5Agt->>H5Agt: 渲染 ✓ 气泡
    H5Agt->>Script: postMessage { event: 'rendered', ts: T_agent }

    H5Emp->>H5Emp: 收到自己的 new_message (员工端)
    H5Emp->>Obs: POST /api/backend-observer/record<br/>{metric: 'option_select_e2e_latency_ms',<br/>value: T_agent - T0}
    WSM->>Obs: 记录 option_select_persist_latency_ms (commit_ts)<br/>记录 option_select_broadcast_latency_ms (broadcast_ts)

    Script->>Script: t1_end = performance.now() (员工点击 → 坐席渲染)
    Script->>Obs: GET /api/backend-observer/metrics?name=option_select_*
    Obs-->>Script: 4 个指标样本
    Script->>Script: p50/p95 计算 + 告警 (>100ms warning)
    Script->>Script: 输出 report.json