feat remove：删除数值化关系，更新默认模型，删除旧脚本，新增一栏统计项
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SengokuCola
@@ -166,6 +166,7 @@ class StatisticOutputTask(AsyncTask):
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self.stat_period: List[Tuple[str, timedelta, str]] = [
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("all_time", now - deploy_time, "自部署以来"), # 必须保留"all_time"
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("last_7_days", timedelta(days=7), "最近7天"),
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("last_3_days", timedelta(days=3), "最近3天"),
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("last_24_hours", timedelta(days=1), "最近24小时"),
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("last_3_hours", timedelta(hours=3), "最近3小时"),
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("last_hour", timedelta(hours=1), "最近1小时"),
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@@ -781,45 +782,216 @@ class StatisticOutputTask(AsyncTask):
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<p class=\"info-item\"><strong>总请求数: </strong>{stat_data[TOTAL_REQ_CNT]}</p>
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<p class=\"info-item\"><strong>总花费: </strong>{stat_data[TOTAL_COST]:.4f} ¥</p>
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<h2>按模型分类统计</h2>
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<table>
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<thead><tr><th>模型名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr></thead>
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<tbody>
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{model_rows}
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</tbody>
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</table>
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<div style="display: flex; flex-wrap: wrap; gap: 20px; margin: 20px 0;">
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<div style="flex: 1; min-width: 300px;">
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<h2>按模型分类统计</h2>
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<table>
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<thead><tr><th>模型名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr></thead>
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<tbody>
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{model_rows}
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</tbody>
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</table>
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</div>
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<div style="flex: 1; min-width: 300px;">
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<h3>模型调用次数分布</h3>
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<canvas id="modelPieChart_{div_id}" width="300" height="300"></canvas>
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</div>
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</div>
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<h2>按模块分类统计</h2>
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<table>
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<thead>
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<tr><th>模块名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr>
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</thead>
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<tbody>
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{module_rows}
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</tbody>
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</table>
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<div style="display: flex; flex-wrap: wrap; gap: 20px; margin: 20px 0;">
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<div style="flex: 1; min-width: 300px;">
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<h2>按模块分类统计</h2>
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<table>
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<thead>
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<tr><th>模块名称</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr>
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</thead>
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<tbody>
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{module_rows}
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</tbody>
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</table>
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</div>
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<div style="flex: 1; min-width: 300px;">
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<h3>模块调用次数分布</h3>
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<canvas id="modulePieChart_{div_id}" width="300" height="300"></canvas>
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</div>
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</div>
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<h2>按请求类型分类统计</h2>
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<table>
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<thead>
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<tr><th>请求类型</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr>
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</thead>
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<tbody>
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{type_rows}
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</tbody>
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</table>
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<div style="display: flex; flex-wrap: wrap; gap: 20px; margin: 20px 0;">
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<div style="flex: 1; min-width: 300px;">
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<h2>按请求类型分类统计</h2>
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<table>
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<thead>
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<tr><th>请求类型</th><th>调用次数</th><th>输入Token</th><th>输出Token</th><th>Token总量</th><th>累计花费</th><th>平均耗时(秒)</th><th>标准差(秒)</th></tr>
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</thead>
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<tbody>
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{type_rows}
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</tbody>
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</table>
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</div>
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<div style="flex: 1; min-width: 300px;">
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<h3>请求类型分布</h3>
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<canvas id="typePieChart_{div_id}" width="300" height="300"></canvas>
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</div>
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</div>
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<h2>聊天消息统计</h2>
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<table>
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<thead>
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<tr><th>联系人/群组名称</th><th>消息数量</th></tr>
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</thead>
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<tbody>
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{chat_rows}
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</tbody>
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</table>
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<div style="display: flex; flex-wrap: wrap; gap: 20px; margin: 20px 0;">
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<div style="flex: 1; min-width: 300px;">
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<h2>聊天消息统计</h2>
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<table>
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<thead>
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<tr><th>联系人/群组名称</th><th>消息数量</th></tr>
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</thead>
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<tbody>
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{chat_rows}
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</tbody>
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</table>
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</div>
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<div style="flex: 1; min-width: 300px;">
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<h3>消息分布</h3>
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<canvas id="chatPieChart_{div_id}" width="300" height="300"></canvas>
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</div>
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</div>
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<script>
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// 为当前统计卡片创建饼图
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createPieCharts_{div_id}();
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function createPieCharts_{div_id}() {{
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const colors = ['#3498db', '#e74c3c', '#2ecc71', '#f39c12', '#9b59b6', '#1abc9c', '#34495e', '#e67e22', '#95a5a6', '#f1c40f'];
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// 模型调用次数饼图
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const modelData = {{
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labels: {[f'"{model_name}"' for model_name in sorted(stat_data[REQ_CNT_BY_MODEL].keys())]},
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datasets: [{{
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data: {[stat_data[REQ_CNT_BY_MODEL][model_name] for model_name in sorted(stat_data[REQ_CNT_BY_MODEL].keys())]},
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backgroundColor: colors[:len(stat_data[REQ_CNT_BY_MODEL])],
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borderColor: colors[:len(stat_data[REQ_CNT_BY_MODEL])],
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borderWidth: 2
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}}]
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}};
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new Chart(document.getElementById('modelPieChart_{div_id}'), {{
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type: 'pie',
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data: modelData,
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options: {{
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responsive: true,
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plugins: {{
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legend: {{
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position: 'bottom'
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}},
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tooltip: {{
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callbacks: {{
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label: function(context) {{
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const total = context.dataset.data.reduce((a, b) => a + b, 0);
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const percentage = ((context.parsed / total) * 100).toFixed(1);
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return context.label + ': ' + context.parsed + ' (' + percentage + '%)';
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}}
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}}
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}}
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}}
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}}
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}});
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// 模块调用次数饼图
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const moduleData = {{
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labels: {[f'"{module_name}"' for module_name in sorted(stat_data[REQ_CNT_BY_MODULE].keys())]},
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datasets: [{{
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data: {[stat_data[REQ_CNT_BY_MODULE][module_name] for module_name in sorted(stat_data[REQ_CNT_BY_MODULE].keys())]},
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backgroundColor: colors[:len(stat_data[REQ_CNT_BY_MODULE])],
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borderColor: colors[:len(stat_data[REQ_CNT_BY_MODULE])],
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borderWidth: 2
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}}]
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}};
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new Chart(document.getElementById('modulePieChart_{div_id}'), {{
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type: 'pie',
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data: moduleData,
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options: {{
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responsive: true,
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plugins: {{
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legend: {{
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position: 'bottom'
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}},
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tooltip: {{
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callbacks: {{
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label: function(context) {{
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const total = context.dataset.data.reduce((a, b) => a + b, 0);
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const percentage = ((context.parsed / total) * 100).toFixed(1);
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return context.label + ': ' + context.parsed + ' (' + percentage + '%)';
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}}
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}}
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}}
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}}
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}}
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}});
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// 请求类型分布饼图
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const typeData = {{
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labels: {[f'"{req_type}"' for req_type in sorted(stat_data[REQ_CNT_BY_TYPE].keys())]},
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datasets: [{{
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data: {[stat_data[REQ_CNT_BY_TYPE][req_type] for req_type in sorted(stat_data[REQ_CNT_BY_TYPE].keys())]},
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backgroundColor: colors[:len(stat_data[REQ_CNT_BY_TYPE])],
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borderColor: colors[:len(stat_data[REQ_CNT_BY_TYPE])],
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borderWidth: 2
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}}]
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}};
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new Chart(document.getElementById('typePieChart_{div_id}'), {{
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type: 'pie',
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data: typeData,
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options: {{
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responsive: true,
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plugins: {{
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legend: {{
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position: 'bottom'
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}},
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tooltip: {{
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callbacks: {{
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label: function(context) {{
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const total = context.dataset.data.reduce((a, b) => a + b, 0);
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const percentage = ((context.parsed / total) * 100).toFixed(1);
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return context.label + ': ' + context.parsed + ' (' + percentage + '%)';
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}}
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}}
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}}
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}}
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}}
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}});
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// 聊天消息分布饼图
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const chatData = {{
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labels: {[f'"{self.name_mapping[chat_id][0]}"' for chat_id in sorted(stat_data[MSG_CNT_BY_CHAT].keys())]},
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datasets: [{{
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data: {[stat_data[MSG_CNT_BY_CHAT][chat_id] for chat_id in sorted(stat_data[MSG_CNT_BY_CHAT].keys())]},
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backgroundColor: colors[:len(stat_data[MSG_CNT_BY_CHAT])],
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borderColor: colors[:len(stat_data[MSG_CNT_BY_CHAT])],
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borderWidth: 2
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}}]
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}};
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new Chart(document.getElementById('chatPieChart_{div_id}'), {{
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type: 'pie',
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data: chatData,
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options: {{
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responsive: true,
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plugins: {{
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legend: {{
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position: 'bottom'
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}},
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tooltip: {{
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callbacks: {{
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label: function(context) {{
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const total = context.dataset.data.reduce((a, b) => a + b, 0);
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const percentage = ((context.parsed / total) * 100).toFixed(1);
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return context.label + ': ' + context.parsed + ' (' + percentage + '%)';
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}}
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}}
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}}
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}}
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}}
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}});
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}}
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</script>
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</div>
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"""
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