{% extends "base.html" %}
{% block title %}客户端 {{ client }} - Squid Manager{% endblock %}
{% block head %}
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
{% endblock %}

{% block content %}
<div class="page-header">
    <h1>👤 客户端详情: <code>{{ client }}</code></h1>
    <div class="page-actions">
        <a href="{{ url_for('logs_view', client=client) }}" class="btn btn-small btn-secondary">📋 查看该客户端的原始日志</a>
        <a href="{{ url_for('dashboard') }}" class="btn btn-small btn-secondary">← 返回仪表盘</a>
    </div>
</div>

{# P2-4: per-client 24h trend. When the client has no rows in the parsed
   log, render an empty-state card instead of empty charts so the page
   is informative (and so we don't ship a 0-axis Chart.js graph). #}
{% if not has_data %}
<div class="card">
    <div class="card-empty">
        <div class="empty-icon">🔍</div>
        <h2>未找到该客户端的日志</h2>
        <p>已加载的日志范围内没有来自 <code>{{ client }}</code> 的请求记录。</p>
        <p class="meta-text">可能原因: 客户端拼写错误、尚未产生流量、或日志已被归档。</p>
        <p>
            <a href="{{ url_for('logs_view') }}" class="btn btn-secondary">去日志查询</a>
            <a href="{{ url_for('logs_sync') }}" class="btn btn-primary"
               onclick="event.preventDefault(); fetch('{{ url_for('logs_sync') }}', {method:'POST'}).then(r=>location.reload());">
                🔄 立即同步日志
            </a>
        </p>
    </div>
</div>
{% else %}

<!-- KPI cards: 总请求 / 总流量 / 首次 / 最后 / 平均请求大小 -->
<div class="kpi-grid">
    <div class="kpi-card kpi-blue">
        <div class="kpi-label">总请求数</div>
        <div class="kpi-value">{{ trend.total_requests | thousands }}</div>
        <div class="kpi-meta">该客户端的累计请求</div>
    </div>
    <div class="kpi-card kpi-purple">
        <div class="kpi-label">总流量</div>
        <div class="kpi-value">{{ format_bytes(trend.total_bytes) }}</div>
        <div class="kpi-meta">原始字节数 {{ trend.total_bytes | thousands }}</div>
    </div>
    <div class="kpi-card kpi-green">
        <div class="kpi-label">平均请求大小</div>
        <div class="kpi-value">{{ format_bytes(trend.avg_size_bytes) }}</div>
        <div class="kpi-meta">{{ '%.0f' % trend.avg_size_bytes }} 字节/请求</div>
    </div>
    <div class="kpi-card kpi-orange">
        <div class="kpi-label">首次出现</div>
        <div class="kpi-value" style="font-size:1.2em;">
            {% if trend.time_start %}
                {{ trend.time_start.strftime('%m-%d %H:%M') }}
            {% else %}
                -
            {% endif %}
        </div>
        <div class="kpi-meta">{% if trend.time_start %}{{ trend.time_start.strftime('%Y-%m-%d %H:%M:%S UTC') }}{% else %}-{% endif %}</div>
    </div>
    <div class="kpi-card kpi-red">
        <div class="kpi-label">最后出现</div>
        <div class="kpi-value" style="font-size:1.2em;">
            {% if trend.time_end %}
                {{ trend.time_end.strftime('%m-%d %H:%M') }}
            {% else %}
                -
            {% endif %}
        </div>
        <div class="kpi-meta">{% if trend.time_end %}{{ trend.time_end.strftime('%Y-%m-%d %H:%M:%S UTC') }}{% else %}-{% endif %}</div>
    </div>
    <div class="kpi-card kpi-cyan">
        <div class="kpi-label">Top 主机数</div>
        <div class="kpi-value">{{ trend.top_hosts | length }}</div>
        <div class="kpi-meta">访问过的目标主机</div>
    </div>
</div>

<!-- 24h hourly trend - dual axis: requests + bytes -->
<div class="card chart-card">
    <h3 class="card-title">📈 24h 趋势 (按 UTC 小时聚合)</h3>
    <div class="chart-container">
        <canvas id="clientHourlyChart" height="100"></canvas>
    </div>
    <p class="meta-text">
        横轴 = UTC 小时 (00-23) · 左轴 = 请求数 · 右轴 = 流量 (MB)。
        与仪表盘的 24h 折线结构一致，方便横向对比整体流量。
    </p>
</div>

<div class="grid-2">
    <!-- Top hosts (click to drill into logs) -->
    <div class="card">
        <h3 class="card-title">🌍 Top 目标主机 (按请求数)</h3>
        {% if trend.top_hosts %}
        <table class="data-table">
            <thead><tr><th>#</th><th>目标主机</th><th>请求数</th><th>流量</th></tr></thead>
            <tbody>
            {% for h in trend.top_hosts %}
            <tr>
                <td>{{ loop.index }}</td>
                <td>
                    <a href="{{ url_for('logs_view', host=h.host, client=client) }}"
                       title="查看该客户端对该主机的全部日志">{{ h.host }}</a>
                </td>
                <td>{{ h.count | thousands }}</td>
                <td>{{ format_bytes(h.bytes) }}</td>
            </tr>
            {% endfor %}
            </tbody>
        </table>
        {% else %}
        <p class="meta-text">无目标主机数据。</p>
        {% endif %}
    </div>

    <!-- Top URLs -->
    <div class="card">
        <h3 class="card-title">🔗 Top URL (访问最多的资源)</h3>
        {% if trend.top_urls %}
        <table class="data-table">
            <thead><tr><th>#</th><th>URL</th><th>访问次数</th></tr></thead>
            <tbody>
            {% for u in trend.top_urls %}
            <tr>
                <td>{{ loop.index }}</td>
                <td class="url-cell">
                    <a href="{{ url_for('logs_view', url=u.url, client=client) }}"
                       title="{{ u.url }}">{{ u.url }}</a>
                </td>
                <td>{{ u.count | thousands }}</td>
            </tr>
            {% endfor %}
            </tbody>
        </table>
        {% else %}
        <p class="meta-text">无 URL 数据。</p>
        {% endif %}
    </div>
</div>

<!-- 最近 50 条请求样本 -->
<div class="card">
    <h3 class="card-title">📜 最近 50 条请求样本</h3>
    {% if trend.samples %}
    <div class="table-scroll">
    <table class="data-table log-table">
        <thead>
        <tr>
            <th>时间</th>
            <th>结果码</th>
            <th>HTTP</th>
            <th>方法</th>
            <th>大小</th>
            <th>耗时</th>
            <th>URL</th>
            <th>层级</th>
        </tr>
        </thead>
        <tbody>
        {% for e in trend.samples %}
        <tr>
            <td class="time-cell">
                {% if e.timestamp %}
                    {{ e.timestamp.strftime('%Y-%m-%d %H:%M:%S') }}
                {% else %}
                    {{ e.time }}
                {% endif %}
            </td>
            <td>
                <span class="badge badge-{% if e.category == 'Hit' %}green{% elif e.category == 'Miss' %}blue{% elif e.category == 'Tunnel' %}cyan{% elif e.category == 'Denied' %}red{% elif e.category == 'Aborted' %}orange{% elif e.category == 'Error' %}red{% else %}gray{% endif %}"
                      title="{{ e.result_description }}">{{ e.result_code }}</span>
            </td>
            <td>
                <span class="badge badge-{% if e.http_code and e.http_code|first == '2' %}green{% elif e.http_code and e.http_code|first == '3' %}blue{% elif e.http_code and e.http_code|first == '4' %}orange{% elif e.http_code and e.http_code|first == '5' %}red{% else %}gray{% endif %}">{{ e.http_code or '-' }}</span>
            </td>
            <td>{{ e.method }}</td>
            <td>{{ format_bytes(e.size) }}</td>
            <td>{{ format_duration(e.elapsed_ms) }}</td>
            <td class="url-cell" title="{{ e.url }}">
                <a href="{{ url_for('logs_view', url=e.url, client=client) }}">{{ e.url }}</a>
            </td>
            <td><code>{{ e.hier_code }}</code></td>
        </tr>
        {% endfor %}
        </tbody>
    </table>
    </div>
    {% else %}
    <p class="meta-text">无样本数据。</p>
    {% endif %}
</div>

<!-- Action bar: 封禁该 IP (WIP - 待 P3-2 实现) -->
<div class="card">
    <h3 class="card-title">🚫 操作</h3>
    <button type="button" class="btn btn-secondary" disabled
            title="WIP: 待实现 P3-2"
            style="opacity:0.55; cursor:not-allowed;">
        🚫 封禁该 IP (WIP: 待实现 P3-2)
    </button>
    <span class="meta-text" style="margin-left:12px;">
        封禁功能将由 P3-2 提供：写入 squid ACL + 重载配置 + 持久化黑名单。
    </span>
</div>

{% endif %}
{% endblock %}

{% block scripts %}
{# Drive the 24h hourly chart. Same dual-axis pattern as the dashboard
   so an operator can mentally diff a single client's curve against the
   global 24h envelope without learning a new visualisation. #}
<script>
const HOURLY = {{ trend.hourly | tojson }};

window.addEventListener('DOMContentLoaded', () => {
    const el = document.getElementById('clientHourlyChart');
    if (!el || !HOURLY || !HOURLY.length) return;
    const ctx = el.getContext('2d');
    new Chart(ctx, {
        type: 'line',
        data: {
            labels: HOURLY.map(h => String(h.hour).padStart(2,'0') + ':00'),
            datasets: [
                {
                    label: '请求数',
                    data: HOURLY.map(h => h.requests),
                    borderColor: '#3b82f6',
                    backgroundColor: 'rgba(59,130,246,0.1)',
                    fill: true,
                    yAxisID: 'y',
                    tension: 0.3
                },
                {
                    label: '流量 (MB)',
                    data: HOURLY.map(h => h.bytes / (1024*1024)),
                    borderColor: '#10b981',
                    backgroundColor: 'rgba(16,185,129,0.1)',
                    fill: true,
                    yAxisID: 'y1',
                    tension: 0.3
                }
            ]
        },
        options: {
            responsive: true,
            maintainAspectRatio: false,
            interaction: { mode: 'index', intersect: false },
            plugins: {
                legend: { labels: { color: '#cbd5e1' } },
                title: {
                    display: true,
                    text: '客户端 {{ client }} · 24h 请求/流量分布',
                    color: '#cbd5e1'
                }
            },
            scales: {
                x: { ticks: { color: '#94a3b8' }, grid: { color: '#1e293b' } },
                y: {
                    type: 'linear', position: 'left',
                    ticks: { color: '#3b82f6' },
                    grid: { color: '#1e293b' },
                    title: { display: true, text: '请求数', color: '#3b82f6' }
                },
                y1: {
                    type: 'linear', position: 'right',
                    ticks: { color: '#10b981' },
                    grid: { display: false },
                    title: { display: true, text: '流量 MB', color: '#10b981' }
                }
            }
        }
    });
});
</script>
{% endblock %}