{% extends "base.html" %}
{% block title %}日志导入 - Squid Manager{% endblock %}
{% block head %}
{% if imported %}
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
{% endif %}
{% endblock %}
{% block content %}
<div class="page-header">
    <h1>📥 日志导入分析</h1>
</div>

{% if not imported %}
<div class="card">
    <p class="card-desc">将 Squid access.log 内容粘贴到下方文本框，系统将解析并展示完整分析结果。
    适用于离线日志分析或一次性诊断。</p>
    <form method="post">
        <div class="form-group">
            <label>日志内容</label>
            <textarea name="log_text" rows="20" class="form-input monospace"
                      placeholder="1783841223.438   2488 172.16.12.232 TCP_MISS_ABORTED/000 0 GET http://169.254.169.254/metadata/instance/compute - HIER_DIRECT/169.254.169.254 -
1783841225.683   4564 172.16.237.9 TCP_TUNNEL/200 10197 CONNECT default.exp-tas.com:443 - HIER_DIRECT/13.107.5.93 -
..."></textarea>
        </div>
        <div class="form-actions">
            <button type="submit" class="btn btn-primary">📊 开始分析</button>
            <a href="{{ url_for('dashboard') }}" class="btn btn-secondary">取消</a>
        </div>
    </form>
</div>
{% else %}

<div class="page-header">
    <h2>分析结果</h2>
    <div class="page-actions">
        <span class="meta-text">共解析 {{ entries | length }} 条 / {{ raw_lines | length }} 行</span>
        <a href="{{ url_for('logs_import') }}" class="btn btn-small btn-secondary">📥 重新导入</a>
    </div>
</div>

<div class="kpi-grid">
    <div class="kpi-card kpi-blue">
        <div class="kpi-label">总请求数</div>
        <div class="kpi-value">{{ stats.total_requests | thousands }}</div>
    </div>
    <div class="kpi-card kpi-green">
        <div class="kpi-label">缓存命中率</div>
        <div class="kpi-value">{{ '%.1f' % (stats.hit_ratio * 100) }}%</div>
    </div>
    <div class="kpi-card kpi-purple">
        <div class="kpi-label">总流量</div>
        <div class="kpi-value">{{ format_bytes(stats.total_bytes) }}</div>
    </div>
    <div class="kpi-card kpi-orange">
        <div class="kpi-label">平均响应</div>
        <div class="kpi-value">{{ format_duration(stats.avg_elapsed_ms) }}</div>
    </div>
    <div class="kpi-card kpi-red">
        <div class="kpi-label">拒绝率</div>
        <div class="kpi-value">{{ '%.2f' % (stats.denied_rate * 100) }}%</div>
    </div>
    <div class="kpi-card kpi-yellow">
        <div class="kpi-label">中断率</div>
        <div class="kpi-value">{{ '%.2f' % (stats.aborted_rate * 100) }}%</div>
    </div>
</div>

<div class="grid-2">
    <div class="card chart-card">
        <h3 class="card-title">🏷️ 结果码分布</h3>
        <div class="chart-container"><canvas id="resultChart" height="200"></canvas></div>
    </div>
    <div class="card chart-card">
        <h3 class="card-title">🚀 方法分布</h3>
        <div class="chart-container"><canvas id="methodChart" height="200"></canvas></div>
    </div>
</div>

<div class="grid-2">
    <div class="card">
        <h3 class="card-title">👥 Top 客户端</h3>
        <table class="data-table">
            <thead><tr><th>#</th><th>IP</th><th>请求数</th><th>流量</th></tr></thead>
            <tbody>
            {% for c in stats.top_clients[:15] %}
            <tr><td>{{ loop.index }}</td><td>{{ c.client }}</td><td>{{ c.count }}</td><td>{{ format_bytes(c.bytes) }}</td></tr>
            {% endfor %}
            </tbody>
        </table>
    </div>
    <div class="card">
        <h3 class="card-title">🌍 Top 目标主机</h3>
        <table class="data-table">
            <thead><tr><th>#</th><th>主机</th><th>请求数</th><th>流量</th></tr></thead>
            <tbody>
            {% for h in stats.top_hosts[:15] %}
            <tr><td>{{ loop.index }}</td><td>{{ h.host }}</td><td>{{ h.count }}</td><td>{{ format_bytes(h.bytes) }}</td></tr>
            {% endfor %}
            </tbody>
        </table>
    </div>
</div>

<div class="card">
    <h3 class="card-title">📋 原始日志 (前 200 条)</h3>
    <div class="table-scroll">
    <table class="data-table log-table">
        <thead><tr><th>时间</th><th>客户端</th><th>结果</th><th>HTTP</th><th>方法</th><th>大小</th><th>URL</th><th>层级</th></tr></thead>
        <tbody>
        {% for e in entries[:200] %}
        <tr>
            <td class="time-cell">{{ e.timestamp_local.strftime('%H:%M:%S') if e.timestamp_local else e.time }}</td>
            <td>{{ e.client }}</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{% else %}gray{% endif %}">{{ e.result_code }}</span></td>
            <td>{{ e.http_code or '-' }}</td>
            <td>{{ e.method }}</td>
            <td>{{ format_bytes(e.size) }}</td>
            <td class="url-cell" title="{{ e.url }}">{{ e.url }}</td>
            <td><code>{{ e.hier_code }}</code></td>
        </tr>
        {% endfor %}
        </tbody>
    </table>
    </div>
</div>

{% endif %}
{% endblock %}

{% block scripts %}
{% if imported %}
<script>
const COLORS = ['#3b82f6','#ef4444','#10b981','#f59e0b','#8b5cf6','#ec4899','#06b6d4','#84cc16','#f97316','#6366f1','#14b8a6','#a855f7','#eab308','#22c55e','#64748b','#0ea5e9'];
function makeDoughnut(id, data) {
    const ctx = document.getElementById(id).getContext('2d');
    new Chart(ctx, {
        type: 'doughnut',
        data: { labels: data.map(d=>d[0]), datasets: [{ data: data.map(d=>d[1]), backgroundColor: COLORS, borderWidth:1, borderColor:'#1e293b' }] },
        options: { responsive:true, maintainAspectRatio:false, plugins: { legend: { position:'right', labels:{color:'#cbd5e1',font:{size:11}} } } }
    });
}
window.addEventListener('DOMContentLoaded', () => {
    makeDoughnut('resultChart', {{ stats.by_result | tojson }});
    makeDoughnut('methodChart', {{ stats.by_method | tojson }});
});
</script>
{% endif %}
{% endblock %}