mirror of
https://github.com/Nezumi-2711/astrbot_plugin_qq_group_daily_analysis.git
synced 2026-09-22 13:38:43 +00:00
[v1.9.0] (活跃度可视化) 生成 24h 时间段活跃情况分析
This commit is contained in:
回归天空
@@ -3,7 +3,7 @@
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# QQ群日常分析插件
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[](https://github.com/SXP-Simon/astrbot-qq-group-daily-analysis)
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[](https://github.com/SXP-Simon/astrbot-qq-group-daily-analysis)
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[](https://github.com/AstrBotDevs/AstrBot)
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[](LICENSE)
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@@ -144,6 +144,9 @@ _✨ 一个基于AstrBot的智能群聊分析插件，能够生成精美的群
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### v1.8.0
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- 修复表情统计情况
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### v1.9.0
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- 生成 24h 时间段活跃情况分析
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## 许可证
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MIT License
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@@ -216,6 +216,8 @@ class QQGroupDailyAnalysis(Star):
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logger.error(f"群分析失败: {e}", exc_info=True)
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yield event.plain_result(f"❌ 分析失败: {str(e)}。请检查网络连接和LLM配置，或联系管理员")
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@filter.command("设置格式")
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@filter.permission_type(PermissionType.ADMIN)
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async def set_output_format(self, event: AiocqhttpMessageEvent, format_type: str = ""):
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@@ -366,7 +368,7 @@ class QQGroupDailyAnalysis(Star):
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• 最大查询轮数: {max_rounds}
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💡 可用命令: enable, disable, status, reload, test
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💡 支持的输出格式: image, text, pdf
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💡 支持的输出格式: image, text, pdf (图片和PDF包含活跃度可视化)
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💡 其他命令: /设置格式, /安装PDF""")
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+1
-1
@@ -13,6 +13,6 @@ help: | # 插件的帮助信息
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命令：
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/群分析 [天数] - 分析群聊活动
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/分析设置 [操作] - 管理设置（enable/disable/status/test）
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version: v1.8.0 # 插件版本号。格式：v1.1.1 或者 v1.1
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version: v1.9.0 # 插件版本号。格式：v1.1.1 或者 v1.1
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author: SXP-Simon # 作者
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repo: https://github.com/SXP-Simon/astrbot-qq-group-daily-analysis # 插件的仓库地址
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@@ -8,7 +8,8 @@ from datetime import datetime, timedelta
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from typing import List, Dict, Optional
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from collections import defaultdict
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from astrbot.api import logger
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from ...src.models.data_models import GroupStatistics, TokenUsage, EmojiStatistics
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from ...src.models.data_models import GroupStatistics, TokenUsage, EmojiStatistics, ActivityVisualization
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from ...src.visualization.activity_charts import ActivityVisualizer
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class MessageHandler:
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@@ -16,6 +17,7 @@ class MessageHandler:
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def __init__(self, config_manager):
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self.config_manager = config_manager
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self.activity_visualizer = ActivityVisualizer()
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self.bot_qq_id = None
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async def set_bot_qq_id(self, bot_instance):
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@@ -189,6 +191,9 @@ class MessageHandler:
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most_active_hour = max(hour_counts.items(), key=lambda x: x[1])[0] if hour_counts else 0
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most_active_period = f"{most_active_hour:02d}:00-{(most_active_hour+1)%24:02d}:00"
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# 生成活跃度可视化数据
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activity_visualization = self.activity_visualizer.generate_activity_visualization(messages)
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return GroupStatistics(
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message_count=len(messages),
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total_characters=total_chars,
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@@ -197,5 +202,6 @@ class MessageHandler:
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golden_quotes=[],
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emoji_count=emoji_statistics.total_emoji_count, # 保持向后兼容
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emoji_statistics=emoji_statistics,
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activity_visualization=activity_visualization,
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token_usage=TokenUsage()
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)
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@@ -57,6 +57,16 @@ class EmojiStatistics:
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return self.face_count + self.mface_count + self.bface_count + self.sface_count + self.other_emoji_count
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@dataclass
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class ActivityVisualization:
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"""活跃度可视化数据结构"""
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hourly_activity: dict = field(default_factory=dict) # {hour: count}
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daily_activity: dict = field(default_factory=dict) # {date: count}
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user_activity_ranking: list = field(default_factory=list) # 用户活跃度排行
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peak_hours: list = field(default_factory=list) # 高峰时段
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activity_heatmap_data: dict = field(default_factory=dict) # 热力图数据
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@dataclass
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class GroupStatistics:
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"""群聊统计数据结构"""
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@@ -67,4 +77,5 @@ class GroupStatistics:
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golden_quotes: List[GoldenQuote]
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emoji_count: int # 保持向后兼容
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emoji_statistics: EmojiStatistics = field(default_factory=EmojiStatistics)
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activity_visualization: ActivityVisualization = field(default_factory=ActivityVisualization)
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token_usage: TokenUsage = field(default_factory=TokenUsage)
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@@ -10,6 +10,7 @@ from typing import Dict, Optional
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from pathlib import Path
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from astrbot.api import logger
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from .templates import HTMLTemplates
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from ..visualization.activity_charts import ActivityVisualizer
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class ReportGenerator:
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@@ -17,6 +18,7 @@ class ReportGenerator:
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def __init__(self, config_manager):
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self.config_manager = config_manager
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self.activity_visualizer = ActivityVisualizer()
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async def generate_image_report(self, analysis_result: Dict, group_id: str, html_render_func) -> Optional[str]:
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"""生成图片格式的分析报告"""
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@@ -32,6 +34,8 @@ class ReportGenerator:
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logger.error(f"生成图片报告失败: {e}")
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return None
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async def generate_pdf_report(self, analysis_result: Dict, group_id: str) -> Optional[str]:
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"""生成PDF格式的分析报告"""
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try:
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@@ -113,6 +117,7 @@ class ReportGenerator:
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stats = analysis_result["statistics"]
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topics = analysis_result["topics"]
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user_titles = analysis_result["user_titles"]
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activity_viz = stats.activity_visualization
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# 构建话题HTML
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topics_html = ""
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@@ -166,6 +171,11 @@ class ReportGenerator:
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</div>
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"""
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# 生成活跃度可视化HTML
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hourly_chart_html = self.activity_visualizer.generate_hourly_chart_html(
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activity_viz.hourly_activity
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)
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# 返回扁平化的渲染数据
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return {
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"current_date": datetime.now().strftime('%Y年%m月%d日'),
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@@ -178,11 +188,15 @@ class ReportGenerator:
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"topics_html": topics_html,
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"titles_html": titles_html,
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"quotes_html": quotes_html,
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"hourly_chart_html": hourly_chart_html,
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"total_tokens": stats.token_usage.total_tokens,
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"prompt_tokens": stats.token_usage.prompt_tokens,
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"completion_tokens": stats.token_usage.completion_tokens
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}
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def _render_html_template(self, template: str, data: Dict, use_jinja_style: bool = False) -> str:
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"""HTML模板渲染，支持两种占位符格式
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@@ -66,6 +66,103 @@ class HTMLTemplates:
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.quote-author { font-size: 0.9em; color: #4299e1; font-weight: 600; margin-bottom: 8px; text-align: right; }
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.quote-reason { font-size: 0.8em; color: #666666; font-style: normal; background: rgba(66, 153, 225, 0.1); padding: 8px 12px; border-radius: 12px; border-left: 3px solid #4299e1; }
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.footer { background: linear-gradient(135deg, #3182ce 0%, #2c5282 100%); color: #ffffff; text-align: center; padding: 32px; font-size: 0.8em; font-weight: 300; letter-spacing: 0.5px; opacity: 0.9; }
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/* 活跃度可视化样式 - 重新设计 */
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.activity-section {
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background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%);
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padding: 40px;
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border-radius: 20px;
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margin: 40px 0;
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border: 1px solid #e2e8f0;
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box-shadow: 0 4px 20px rgba(0, 0, 0, 0.05);
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}
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.activity-chart-container {
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background: #ffffff;
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padding: 32px;
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border-radius: 16px;
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border: 1px solid #e2e8f0;
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box-shadow: 0 2px 12px rgba(0, 0, 0, 0.04);
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}
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.chart-header {
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display: flex;
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align-items: center;
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justify-content: space-between;
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margin-bottom: 32px;
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padding-bottom: 16px;
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border-bottom: 2px solid #f0f2f5;
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}
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.chart-title {
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font-size: 1.4em;
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font-weight: 600;
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color: #2d3748;
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display: flex;
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align-items: center;
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gap: 12px;
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}
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.chart-subtitle {
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color: #7f8c8d;
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font-size: 0.9em;
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font-weight: 400;
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}
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.hour-bar-container {
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display: flex;
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align-items: center;
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margin: 10px 0;
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height: 20px;
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transition: all 0.2s ease;
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}
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.hour-bar-container:hover {
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background: #f8f9fa;
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border-radius: 8px;
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padding: 0 8px;
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}
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.hour-label {
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width: 55px;
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text-align: left;
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color: #4a5568;
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font-size: 13px;
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font-weight: 500;
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flex-shrink: 0;
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}
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.bar-wrapper {
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display: flex;
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align-items: center;
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flex-grow: 1;
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gap: 12px;
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min-width: 0;
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}
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.bar {
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height: 10px;
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background: linear-gradient(90deg, #4299e1 0%, #667eea 100%);
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border-radius: 6px;
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transition: all 0.3s ease-out;
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display: flex;
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justify-content: flex-end;
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align-items: center;
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overflow: hidden;
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box-shadow: 0 2px 8px rgba(66, 153, 225, 0.2);
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}
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.bar:hover {
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transform: scaleY(1.2);
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box-shadow: 0 4px 12px rgba(66, 153, 225, 0.3);
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}
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.hourly-value-outside {
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color: #4a5568;
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font-size: 12px;
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font-weight: 600;
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flex-shrink: 0;
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min-width: 30px;
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text-align: right;
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}
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.hourly-value-inside {
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color: white;
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font-size: 11px;
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padding: 0 8px;
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font-weight: 600;
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white-space: nowrap;
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text-shadow: 0 1px 2px rgba(0,0,0,0.2);
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}
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@media (min-width: 1400px) { .container { max-width: 1400px; } .topics-grid { grid-template-columns: repeat(3, 1fr); } .users-grid { grid-template-columns: repeat(3, 1fr); } }
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@media (max-width: 768px) { body { padding: 10px; } .container { margin: 0; max-width: 100%; } .header { padding: 24px 20px; } .header h1 { font-size: 1.8em; } .content { padding: 20px; } .topics-grid { grid-template-columns: 1fr; } .users-grid { grid-template-columns: 1fr; } .stats-grid { grid-template-columns: 1fr 1fr; gap: 12px; } .stat-card { padding: 20px 16px; } .topic-item { padding: 20px; } .user-title { flex-direction: column; align-items: flex-start; gap: 12px; padding: 16px; min-height: auto; } .user-info { width: 100%; } .user-reason { text-align: left; max-width: none; margin-left: 0; margin-top: 8px; } }
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</style>
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@@ -90,6 +187,16 @@ class HTMLTemplates:
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<div class="label">最活跃时段</div>
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</div>
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</div>
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<!-- 活跃度可视化部分 - 重新设计 -->
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<div class="activity-chart-container">
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<div class="chart-header">
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<div>
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<div class="chart-title">⏱️ 24小时活跃度分布</div>
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</div>
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</div>
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{{ hourly_chart_html | safe }}
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</div>
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<div class="section">
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<h2 class="section-title">💬 热门话题</h2>
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<div class="topics-grid">{{ topics_html | safe }}</div>
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@@ -157,6 +264,72 @@ class HTMLTemplates:
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.quote-author { font-size: 14px; color: #4299e1; font-weight: 600; margin-bottom: 8px; text-align: right; }
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.quote-reason { font-size: 12px; color: #666666; background: rgba(66, 153, 225, 0.1); padding: 8px 12px; border-radius: 6px; border-left: 3px solid #4299e1; }
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.footer { background: #f8f9ff; color: #666666; text-align: center; padding: 20px; font-size: 12px; border-radius: 8px; margin-top: 40px; }
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/* PDF活跃度可视化样式 - 集成版本 */
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.activity-chart-container {
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background: #f8f9ff;
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padding: 20px;
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border-radius: 8px;
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border: 1px solid #e2e8f0;
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margin-top: 20px;
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page-break-inside: avoid;
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}
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.chart-header {
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margin-bottom: 15px;
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padding-bottom: 8px;
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border-bottom: 1px solid #e2e8f0;
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}
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.chart-title {
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font-size: 16px;
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font-weight: 600;
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color: #2d3748;
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}
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.hour-bar-container {
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display: flex;
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align-items: center;
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margin: 6px 0;
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height: 16px;
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}
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.hour-label {
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width: 45px;
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text-align: left;
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color: #4a5568;
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font-size: 11px;
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font-weight: 500;
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flex-shrink: 0;
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}
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.bar-wrapper {
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display: flex;
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align-items: center;
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flex-grow: 1;
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gap: 8px;
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min-width: 0;
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}
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.bar {
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height: 6px;
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background-color: #4299e1;
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border-radius: 3px;
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display: flex;
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justify-content: flex-end;
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align-items: center;
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overflow: hidden;
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}
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.hourly-value-outside {
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color: #4a5568;
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font-size: 10px;
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font-weight: 600;
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flex-shrink: 0;
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min-width: 25px;
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text-align: right;
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}
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.hourly-value-inside {
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color: white;
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font-size: 9px;
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padding: 0 4px;
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font-weight: 600;
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white-space: nowrap;
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}
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@media print { body { font-size: 12px; } .container { padding: 10px; } .header { padding: 20px; } .section { margin-bottom: 30px; } .stats-grid { grid-template-columns: repeat(2, 1fr); } }
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</style>
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</head>
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@@ -178,7 +351,15 @@ class HTMLTemplates:
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<div class="time">{most_active_period}</div>
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<div class="label">最活跃时段</div>
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</div>
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<!-- 活跃度可视化部分 - 集成到基础统计 -->
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<div class="activity-chart-container">
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<div class="chart-header">
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<div class="chart-title">⏱️ 活跃度分布</div>
|
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</div>
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{hourly_chart_html}
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</div>
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</div>
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<div class="section">
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<h2 class="section-title">💬 热门话题</h2>
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{topics_html}
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||||
@@ -0,0 +1,7 @@
|
||||
"""
|
||||
可视化模块
|
||||
"""
|
||||
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from .activity_charts import ActivityVisualizer
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__all__ = ['ActivityVisualizer']
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@@ -0,0 +1,165 @@
|
||||
"""
|
||||
群聊活跃度可视化模块
|
||||
参考 astrbot_plugin_github_analyzer 的实现方式
|
||||
"""
|
||||
|
||||
from datetime import datetime, timedelta
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||||
from collections import defaultdict
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||||
from typing import Dict, List, Any
|
||||
from ..models.data_models import ActivityVisualization
|
||||
|
||||
|
||||
class ActivityVisualizer:
|
||||
"""活跃度可视化器"""
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def generate_activity_visualization(self, messages: List[Dict]) -> ActivityVisualization:
|
||||
"""生成活跃度可视化数据 - 专注于小时级别分析"""
|
||||
hourly_activity = defaultdict(int)
|
||||
user_activity = defaultdict(int)
|
||||
emoji_activity = defaultdict(int) # 每小时表情统计
|
||||
|
||||
# 分析消息数据
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||||
for msg in messages:
|
||||
# 时间分析 - 只关注小时
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||||
msg_time = datetime.fromtimestamp(msg.get("time", 0))
|
||||
hour = msg_time.hour
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||||
# # 用户分析
|
||||
# sender = msg.get("sender", {})
|
||||
# user_id = str(sender.get("user_id", ""))
|
||||
# nickname = sender.get("nickname", "") or sender.get("card", "")
|
||||
|
||||
# 统计每小时消息数
|
||||
hourly_activity[hour] += 1
|
||||
|
||||
# # 统计用户活跃度
|
||||
# user_activity[user_id] = {
|
||||
# "nickname": nickname,
|
||||
# "count": user_activity.get(user_id, {}).get("count", 0) + 1
|
||||
# }
|
||||
|
||||
# 统计每小时表情数
|
||||
for content in msg.get("message", []):
|
||||
if content.get("type") in ["face", "mface", "bface", "sface"]:
|
||||
emoji_activity[hour] += 1
|
||||
elif content.get("type") == "image":
|
||||
data = content.get("data", {})
|
||||
summary = data.get("summary", "")
|
||||
if "动画表情" in summary or "表情" in summary:
|
||||
emoji_activity[hour] += 1
|
||||
|
||||
# 生成用户活跃度排行
|
||||
user_ranking = []
|
||||
for user_id, data in user_activity.items():
|
||||
user_ranking.append({
|
||||
"user_id": user_id,
|
||||
"nickname": data["nickname"],
|
||||
"message_count": data["count"]
|
||||
})
|
||||
user_ranking.sort(key=lambda x: x["message_count"], reverse=True)
|
||||
|
||||
# 找出高峰时段（活跃度最高的3个小时）
|
||||
peak_hours = sorted(hourly_activity.items(), key=lambda x: x[1], reverse=True)[:3]
|
||||
peak_hours = [{"hour": hour, "count": count} for hour, count in peak_hours]
|
||||
|
||||
return ActivityVisualization(
|
||||
hourly_activity=dict(hourly_activity),
|
||||
daily_activity={}, # 不使用日期分析
|
||||
user_activity_ranking=user_ranking[:10], # 前10名
|
||||
peak_hours=peak_hours,
|
||||
activity_heatmap_data=self._generate_hourly_heatmap_data(hourly_activity, emoji_activity)
|
||||
)
|
||||
|
||||
def _generate_hourly_heatmap_data(self, hourly_activity: dict, emoji_activity: dict) -> dict:
|
||||
"""生成小时级热力图数据"""
|
||||
# 计算活跃度等级
|
||||
max_hourly = max(hourly_activity.values()) if hourly_activity else 1
|
||||
max_emoji = max(emoji_activity.values()) if emoji_activity else 1
|
||||
|
||||
return {
|
||||
"hourly_max": max_hourly,
|
||||
"emoji_max": max_emoji,
|
||||
"hourly_normalized": {
|
||||
hour: (count / max_hourly) * 100
|
||||
for hour, count in hourly_activity.items()
|
||||
},
|
||||
"emoji_normalized": {
|
||||
hour: (emoji_activity.get(hour, 0) / max_emoji) * 100
|
||||
for hour in range(24)
|
||||
},
|
||||
"activity_levels": self._calculate_activity_levels(hourly_activity)
|
||||
}
|
||||
|
||||
def _calculate_activity_levels(self, hourly_activity: dict) -> dict:
|
||||
"""计算活跃度等级"""
|
||||
if not hourly_activity:
|
||||
return {}
|
||||
|
||||
max_count = max(hourly_activity.values())
|
||||
levels = {}
|
||||
|
||||
for hour in range(24):
|
||||
count = hourly_activity.get(hour, 0)
|
||||
if count == 0:
|
||||
level = "inactive"
|
||||
elif count <= max_count * 0.3:
|
||||
level = "low"
|
||||
elif count <= max_count * 0.7:
|
||||
level = "medium"
|
||||
else:
|
||||
level = "high"
|
||||
levels[hour] = level
|
||||
|
||||
return levels
|
||||
|
||||
def generate_hourly_chart_html(self, hourly_activity: dict) -> str:
|
||||
"""生成每小时活动分布的HTML图表"""
|
||||
html_parts = []
|
||||
max_activity = max(hourly_activity.values()) if hourly_activity else 1
|
||||
threshold_percentage = 20 # 数值显示阈值
|
||||
|
||||
for hour in range(24):
|
||||
count = hourly_activity.get(hour, 0)
|
||||
percentage = (count / max_activity) * 100 if max_activity > 0 else 0
|
||||
|
||||
if count > 0 and percentage >= threshold_percentage:
|
||||
# 活动数较多，数值显示在条形图内部
|
||||
html_segment = f"""
|
||||
<div class="hour-bar-container">
|
||||
<span class="hour-label">{hour:02d}:00</span>
|
||||
<div class="bar-wrapper">
|
||||
<div class="bar" style="width: {percentage}%;">
|
||||
<span class="hourly-value-inside">({count})</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
elif count > 0:
|
||||
# 活动数较少，数值显示在条形图外部
|
||||
html_segment = f"""
|
||||
<div class="hour-bar-container">
|
||||
<span class="hour-label">{hour:02d}:00</span>
|
||||
<div class="bar-wrapper">
|
||||
<div class="bar" style="width: {percentage}%;"></div>
|
||||
<span class="hourly-value-outside">({count})</span>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
else:
|
||||
# 无活动
|
||||
html_segment = f"""
|
||||
<div class="hour-bar-container">
|
||||
<span class="hour-label">{hour:02d}:00</span>
|
||||
<div class="bar-wrapper">
|
||||
<span class="hourly-value-outside">({count})</span>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
html_parts.append(html_segment)
|
||||
|
||||
return "".join(html_parts)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user