🤖 自动格式化代码 [skip ci]
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@@ -7,7 +7,7 @@ from src.common.logger import get_logger
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from src.manager.async_task_manager import AsyncTask
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from ...common.database.database import db # This db is the Peewee database instance
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from ...common.database.database_model import OnlineTime, LLMUsage, Messages, ChatStreams # Import the Peewee model
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from ...common.database.database_model import OnlineTime, LLMUsage, Messages # Import the Peewee model
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from src.manager.local_store_manager import local_storage
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logger = get_logger("maibot_statistic")
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@@ -253,9 +253,9 @@ class StatisticOutputTask(AsyncTask):
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request_type = record.request_type or "unknown"
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user_id = record.user_id or "unknown" # user_id is TextField, already string
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model_name = record.model_name or "unknown"
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# 提取模块名:如果请求类型包含".",取第一个"."之前的部分
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module_name = request_type.split('.')[0] if '.' in request_type else request_type
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module_name = request_type.split(".")[0] if "." in request_type else request_type
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stats[period_key][REQ_CNT_BY_TYPE][request_type] += 1
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stats[period_key][REQ_CNT_BY_USER][user_id] += 1
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@@ -789,19 +789,19 @@ class StatisticOutputTask(AsyncTask):
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"""生成图表数据"""
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now = datetime.now()
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chart_data = {}
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# 支持多个时间范围
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time_ranges = [
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("6h", 6, 10), # 6小时,10分钟间隔
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("6h", 6, 10), # 6小时,10分钟间隔
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("12h", 12, 15), # 12小时,15分钟间隔
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("24h", 24, 15), # 24小时,15分钟间隔
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("48h", 48, 30), # 48小时,30分钟间隔
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]
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for range_key, hours, interval_minutes in time_ranges:
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range_data = self._collect_interval_data(now, hours, interval_minutes)
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chart_data[range_key] = range_data
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return chart_data
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def _collect_interval_data(self, now: datetime, hours: int, interval_minutes: int) -> dict:
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@@ -810,56 +810,56 @@ class StatisticOutputTask(AsyncTask):
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start_time = now - timedelta(hours=hours)
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time_points = []
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current_time = start_time
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while current_time <= now:
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time_points.append(current_time)
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current_time += timedelta(minutes=interval_minutes)
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# 初始化数据结构
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total_cost_data = [0] * len(time_points)
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cost_by_model = {}
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cost_by_module = {}
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message_by_chat = {}
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time_labels = [t.strftime("%H:%M") for t in time_points]
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interval_seconds = interval_minutes * 60
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# 查询LLM使用记录
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query_start_time = start_time
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for record in LLMUsage.select().where(LLMUsage.timestamp >= query_start_time):
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record_time = record.timestamp
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# 找到对应的时间间隔索引
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time_diff = (record_time - start_time).total_seconds()
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interval_index = int(time_diff // interval_seconds)
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if 0 <= interval_index < len(time_points):
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# 累加总花费数据
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cost = record.cost or 0.0
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total_cost_data[interval_index] += cost
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# 累加按模型分类的花费
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model_name = record.model_name or "unknown"
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if model_name not in cost_by_model:
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cost_by_model[model_name] = [0] * len(time_points)
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cost_by_model[model_name][interval_index] += cost
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# 累加按模块分类的花费
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request_type = record.request_type or "unknown"
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module_name = request_type.split('.')[0] if '.' in request_type else request_type
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module_name = request_type.split(".")[0] if "." in request_type else request_type
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if module_name not in cost_by_module:
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cost_by_module[module_name] = [0] * len(time_points)
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cost_by_module[module_name][interval_index] += cost
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# 查询消息记录
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query_start_timestamp = start_time.timestamp()
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for message in Messages.select().where(Messages.time >= query_start_timestamp):
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message_time_ts = message.time
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# 找到对应的时间间隔索引
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time_diff = message_time_ts - query_start_timestamp
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interval_index = int(time_diff // interval_seconds)
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if 0 <= interval_index < len(time_points):
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# 确定聊天流名称
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chat_name = None
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@@ -869,81 +869,89 @@ class StatisticOutputTask(AsyncTask):
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chat_name = message.user_nickname or f"用户{message.user_id}"
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else:
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continue
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if not chat_name:
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continue
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# 累加消息数
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if chat_name not in message_by_chat:
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message_by_chat[chat_name] = [0] * len(time_points)
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message_by_chat[chat_name][interval_index] += 1
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return {
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"time_labels": time_labels,
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"total_cost_data": total_cost_data,
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"cost_by_model": cost_by_model,
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"cost_by_module": cost_by_module,
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"message_by_chat": message_by_chat
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"message_by_chat": message_by_chat,
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}
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def _generate_chart_tab(self, chart_data: dict) -> str:
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"""生成图表选项卡HTML内容"""
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# 生成不同颜色的调色板
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colors = [
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'#3498db', '#e74c3c', '#2ecc71', '#f39c12', '#9b59b6',
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'#1abc9c', '#34495e', '#e67e22', '#95a5a6', '#f1c40f'
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"#3498db",
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"#e74c3c",
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"#2ecc71",
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"#f39c12",
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"#9b59b6",
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"#1abc9c",
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"#34495e",
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"#e67e22",
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"#95a5a6",
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"#f1c40f",
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]
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# 默认使用24小时数据生成数据集
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default_data = chart_data['24h']
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default_data = chart_data["24h"]
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# 为每个模型生成数据集
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model_datasets = []
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for i, (model_name, cost_data) in enumerate(default_data['cost_by_model'].items()):
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for i, (model_name, cost_data) in enumerate(default_data["cost_by_model"].items()):
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color = colors[i % len(colors)]
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model_datasets.append(f'''{{
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model_datasets.append(f"""{{
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label: '{model_name}',
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data: {cost_data},
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borderColor: '{color}',
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backgroundColor: '{color}20',
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tension: 0.4,
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fill: false
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}}''')
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model_datasets_str = ',\n '.join(model_datasets)
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}}""")
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",\n ".join(model_datasets)
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# 为每个模块生成数据集
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module_datasets = []
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for i, (module_name, cost_data) in enumerate(default_data['cost_by_module'].items()):
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for i, (module_name, cost_data) in enumerate(default_data["cost_by_module"].items()):
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color = colors[i % len(colors)]
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module_datasets.append(f'''{{
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module_datasets.append(f"""{{
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label: '{module_name}',
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data: {cost_data},
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borderColor: '{color}',
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backgroundColor: '{color}20',
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tension: 0.4,
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fill: false
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}}''')
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module_datasets_str = ',\n '.join(module_datasets)
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}}""")
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",\n ".join(module_datasets)
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# 为每个聊天流生成消息数据集
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message_datasets = []
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for i, (chat_name, message_data) in enumerate(default_data['message_by_chat'].items()):
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for i, (chat_name, message_data) in enumerate(default_data["message_by_chat"].items()):
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color = colors[i % len(colors)]
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message_datasets.append(f'''{{
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message_datasets.append(f"""{{
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label: '{chat_name}',
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data: {message_data},
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borderColor: '{color}',
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backgroundColor: '{color}20',
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tension: 0.4,
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fill: false
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}}''')
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message_datasets_str = ',\n '.join(message_datasets)
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return f'''
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}}""")
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",\n ".join(message_datasets)
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return f"""
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<div id="charts" class="tab-content">
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<h2>数据图表</h2>
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@@ -1139,4 +1147,4 @@ class StatisticOutputTask(AsyncTask):
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}});
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</script>
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</div>
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'''
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"""
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