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🤖 自动格式化代码 [skip ci]

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github-actions[bot]
2025-06-22 10:22:57 +00:00
parent 06927f89a0
commit 0bccb2f2c8
1 changed files with 78 additions and 61 deletions
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139
src/chat/utils/statistic.py
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@@ -478,7 +478,6 @@ class StatisticOutputTask(AsyncTask):
HFC_AVG_TIME_BY_ACTION: defaultdict(lambda: {"decision": 0, "action": 0, "total": 0}),
HFC_AVG_TIME_BY_VERSION: defaultdict(lambda: {"decision": 0, "action": 0, "total": 0}),
HFC_ACTIONS_BY_CHAT: defaultdict(lambda: defaultdict(int)), # 群聊×动作交叉统计
}
for period_key, _ in collect_period
}
@@ -486,28 +485,28 @@ class StatisticOutputTask(AsyncTask):
try:
import json
from pathlib import Path
hfc_stats_file = Path("data/hfc/time.json")
if not hfc_stats_file.exists():
logger.info("HFC统计文件不存在，跳过HFC统计")
return stats
# 读取HFC统计数据
with open(hfc_stats_file, 'r', encoding='utf-8') as f:
with open(hfc_stats_file, "r", encoding="utf-8") as f:
hfc_data = json.load(f)
# 处理每个chat_id和版本的统计数据
for stats_key, chat_stats in hfc_data.items():
for _stats_key, chat_stats in hfc_data.items():
chat_id = chat_stats.get("chat_id", "unknown")
version = chat_stats.get("version", "unknown")
last_updated_str = chat_stats.get("last_updated")
if not last_updated_str:
continue
# 解析最后更新时间
try:
last_updated = datetime.fromisoformat(last_updated_str.replace('Z', '+00:00'))
last_updated = datetime.fromisoformat(last_updated_str.replace("Z", "+00:00"))
if last_updated.tzinfo:
last_updated = last_updated.replace(tzinfo=None)
except:
@@ -527,7 +526,7 @@ class StatisticOutputTask(AsyncTask):
overall = chat_stats.get("overall", {})
total_records = overall.get("total_records", 0)
avg_step_times = overall.get("avg_step_times", {})
# 计算决策时间和动作时间
action_time = avg_step_times.get("执行动作", 0)
total_time = overall.get("avg_total_time", 0)
@@ -544,25 +543,40 @@ class StatisticOutputTask(AsyncTask):
count = action_data.get("count", 0)
action_step_times = action_data.get("avg_step_times", {})
action_total_time = action_data.get("avg_total_time", 0)
# 计算该动作类型的决策时间和动作时间
action_exec_time = action_step_times.get("执行动作", 0)
action_decision_time = max(0, action_total_time - action_exec_time)
for period_key in applicable_periods:
stats[period_key][HFC_CYCLES_BY_ACTION][action_type] += count
# 群聊×动作交叉统计
stats[period_key][HFC_ACTIONS_BY_CHAT][chat_id][action_type] += count
# 累加时间统计（用于后续计算加权平均）
# 这里我们需要重新设计数据结构来存储累计值
if chat_id not in stats[period_key][HFC_AVG_TIME_BY_CHAT]:
stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id] = {"decision": 0, "action": 0, "total": 0, "count": 0}
stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id] = {
"decision": 0,
"action": 0,
"total": 0,
"count": 0,
}
if action_type not in stats[period_key][HFC_AVG_TIME_BY_ACTION]:
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type] = {"decision": 0, "action": 0, "total": 0, "count": 0}
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type] = {
"decision": 0,
"action": 0,
"total": 0,
"count": 0,
}
if version not in stats[period_key][HFC_AVG_TIME_BY_VERSION]:
stats[period_key][HFC_AVG_TIME_BY_VERSION][version] = {"decision": 0, "action": 0, "total": 0, "count": 0}
stats[period_key][HFC_AVG_TIME_BY_VERSION][version] = {
"decision": 0,
"action": 0,
"total": 0,
"count": 0,
}
# 累加加权值（时间*数量）
stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["decision"] += decision_time * total_records
@@ -570,7 +584,9 @@ class StatisticOutputTask(AsyncTask):
stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["total"] += total_time * total_records
stats[period_key][HFC_AVG_TIME_BY_CHAT][chat_id]["count"] += total_records
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["decision"] += action_decision_time * count
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["decision"] += (
action_decision_time * count
)
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["action"] += action_exec_time * count
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["total"] += action_total_time * count
stats[period_key][HFC_AVG_TIME_BY_ACTION][action_type]["count"] += count
@@ -593,11 +609,11 @@ class StatisticOutputTask(AsyncTask):
stats[period_key][stat_type][key] = {
"decision": time_data["decision"] / count,
"action": time_data["action"] / count,
"total": time_data["total"] / count
"total": time_data["total"] / count,
}
else:
stats[period_key][stat_type][key] = {"decision": 0, "action": 0, "total": 0}
return stats
def _collect_all_statistics(self, now: datetime) -> Dict[str, Dict[str, Any]]:
@@ -643,25 +659,29 @@ class StatisticOutputTask(AsyncTask):
# 跳过已删除的SUCCESS_RATE相关key
if key in ["hfc_success_rate_by_chat", "hfc_success_rate_by_action", "hfc_success_rate_by_version"]:
continue
# 确保当前统计数据中存在该key
if key not in stat["all_time"]:
continue
if isinstance(val, dict):
# 是字典类型，则进行合并
for sub_key, sub_val in val.items():
# 检查是否是HFC的嵌套字典时间数据
if key in [HFC_AVG_TIME_BY_CHAT, HFC_AVG_TIME_BY_ACTION, HFC_AVG_TIME_BY_VERSION] and isinstance(sub_val, dict):
if key in [
HFC_AVG_TIME_BY_CHAT,
HFC_AVG_TIME_BY_ACTION,
HFC_AVG_TIME_BY_VERSION,
] and isinstance(sub_val, dict):
# 对于HFC时间数据，需要特殊处理
if sub_key not in stat["all_time"][key]:
stat["all_time"][key][sub_key] = {"decision": 0, "action": 0, "total": 0, "count": 0}
# 如果历史数据是已经计算过的平均值（没有count字段），需要跳过或重新处理
if "count" not in sub_val:
logger.debug(f"历史数据{key}.{sub_key}是平均值格式，跳过合并以避免错误计算")
continue
# 合并累计的加权时间数据
for time_type, time_val in sub_val.items():
if time_type in stat["all_time"][key][sub_key]:
@@ -670,7 +690,7 @@ class StatisticOutputTask(AsyncTask):
# 对于群聊×动作交叉统计的二层嵌套字典，需要特殊处理
if sub_key not in stat["all_time"][key]:
stat["all_time"][key][sub_key] = {}
# 合并二层嵌套的动作数据
for action_type, action_count in sub_val.items():
if action_type in stat["all_time"][key][sub_key]:
@@ -699,7 +719,7 @@ class StatisticOutputTask(AsyncTask):
"decision": time_data["decision"] / count,
"action": time_data["action"] / count,
"total": time_data["total"] / count,
"count": count # 保留count字段
"count": count, # 保留count字段
}
stat["all_time"][stat_type][key] = avg_data
else:
@@ -911,7 +931,7 @@ class StatisticOutputTask(AsyncTask):
# 添加图表内容
chart_data = self._generate_chart_data(stat)
tab_content_list.append(self._generate_chart_tab(chart_data))
# 添加HFC统计内容
tab_content_list.append(self._generate_hfc_stats_tab(stat))
@@ -1164,29 +1184,30 @@ class StatisticOutputTask(AsyncTask):
def _generate_hfc_stats_tab(self, stat: dict[str, Any]) -> str:
"""生成HFC统计选项卡HTML内容"""
def _get_chat_display_name(chat_id):
"""获取聊天显示名称"""
try:
# 首先尝试从chat_stream获取真实群组名称
from src.chat.message_receive.chat_stream import get_chat_manager
chat_manager = get_chat_manager()
if chat_id in chat_manager.streams:
stream = chat_manager.streams[chat_id]
if stream.group_info and hasattr(stream.group_info, 'group_name'):
if stream.group_info and hasattr(stream.group_info, "group_name"):
group_name = stream.group_info.group_name
if group_name and group_name.strip():
return group_name.strip()
elif stream.user_info and hasattr(stream.user_info, 'user_nickname'):
elif stream.user_info and hasattr(stream.user_info, "user_nickname"):
user_name = stream.user_info.user_nickname
if user_name and user_name.strip():
return user_name.strip()
# 如果从chat_stream获取失败，回退到name_mapping
if chat_id in self.name_mapping:
return self.name_mapping[chat_id][0]
# 最后回退到chat_id
return chat_id
except Exception as e:
@@ -1196,28 +1217,28 @@ class StatisticOutputTask(AsyncTask):
return self.name_mapping[chat_id][0]
else:
return chat_id
def _generate_overview_section(data, title):
"""生成总览部分"""
total_cycles = data.get(HFC_TOTAL_CYCLES, 0)
if total_cycles == 0:
return f"<h3>{title}</h3><p>暂无HFC数据</p>"
def _generate_chat_action_table(actions_by_chat):
"""生成群聊×动作选择率表格"""
if not actions_by_chat:
return "<h4>按群聊的动作选择率</h4><p>暂无数据</p>"
# 获取所有动作类型
all_actions = set()
for chat_actions in actions_by_chat.values():
all_actions.update(chat_actions.keys())
if not all_actions:
return "<h4>按群聊的动作选择率</h4><p>暂无数据</p>"
all_actions = sorted(all_actions)
# 生成表头
action_headers = ""
for action in all_actions:
@@ -1225,27 +1246,27 @@ class StatisticOutputTask(AsyncTask):
if action == "no_reply":
action_display = "不回复"
action_headers += f"<th>{action_display}</th>"
# 生成表格行
table_rows = ""
for chat_id in sorted(actions_by_chat.keys()):
chat_actions = actions_by_chat[chat_id]
chat_total = sum(chat_actions.values())
if chat_total == 0:
continue
chat_display_name = _get_chat_display_name(chat_id)
table_rows += f"<tr><td>{chat_display_name}</td>"
# 为每个动作生成百分比
for action in all_actions:
count = chat_actions.get(action, 0)
percentage = (count / chat_total * 100) if chat_total > 0 else 0
table_rows += f"<td>{count} ({percentage:.1f}%)</td>"
table_rows += f"<td>{chat_total}</td></tr>"
return f"""
<h4>按群聊的动作选择率</h4>
<table>
@@ -1258,7 +1279,7 @@ class StatisticOutputTask(AsyncTask):
</table>
<p class="info-item"><strong>说明：</strong>显示每个群聊中不同动作类型的选择次数及占比。</p>
"""
cycles_by_chat = data.get(HFC_CYCLES_BY_CHAT, {})
cycles_by_action = data.get(HFC_CYCLES_BY_ACTION, {})
cycles_by_version = data.get(HFC_CYCLES_BY_VERSION, {})
@@ -1266,7 +1287,7 @@ class StatisticOutputTask(AsyncTask):
avg_time_by_action = data.get(HFC_AVG_TIME_BY_ACTION, {})
avg_time_by_version = data.get(HFC_AVG_TIME_BY_VERSION, {})
actions_by_chat = data.get(HFC_ACTIONS_BY_CHAT, {})
# 按群聊统计表格
chat_rows = ""
for chat_id in sorted(cycles_by_chat.keys()):
@@ -1284,7 +1305,7 @@ class StatisticOutputTask(AsyncTask):
<td>{action_time:.2f}s</td>
<td>{total_time:.2f}s</td>
</tr>"""
# 按动作类型统计表格 - 添加说明
action_rows = ""
for action_type in sorted(cycles_by_action.keys()):
@@ -1305,7 +1326,7 @@ class StatisticOutputTask(AsyncTask):
<td>{action_time:.2f}s</td>
<td>{total_time:.2f}s</td>
</tr>"""
# 按版本统计表格
version_rows = ""
for version in sorted(cycles_by_version.keys()):
@@ -1322,7 +1343,7 @@ class StatisticOutputTask(AsyncTask):
<td>{action_time:.2f}s</td>
<td>{total_time:.2f}s</td>
</tr>"""
return f"""
<h3>{title} (总循环数: {total_cycles})</h3>
@@ -1359,27 +1380,23 @@ class StatisticOutputTask(AsyncTask):
{_generate_chat_action_table(actions_by_chat)}
"""
# 生成指定时间段的统计
sections = []
# 定义要显示的时间段及其描述（所有时间在最上方）
time_periods = [
("all_time", "全部时间"),
("last_24_hours", "最近24小时"),
("last_7_days", "最近7天")
]
time_periods = [("all_time", "全部时间"), ("last_24_hours", "最近24小时"), ("last_7_days", "最近7天")]
for period_key, period_desc in time_periods:
period_data = stat.get(period_key, {})
if period_data.get(HFC_TOTAL_CYCLES, 0) > 0: # 只显示有数据的时间段
sections.append(_generate_overview_section(period_data, period_desc))
if not sections:
sections.append("<h3>暂无HFC数据</h3><p>系统中还没有HFC循环记录</p>")
sections_html = "<br/>".join(sections)
return f"""
<div id="hfc_stats" class="tab-content">
<h2>HFC (Heart Flow Chat) 统计</h2>
@@ -1722,7 +1739,7 @@ class AsyncStatisticOutputTask(AsyncTask):
def _collect_message_count_for_period(self, collect_period: List[Tuple[str, datetime]]) -> Dict[str, Any]:
return StatisticOutputTask._collect_message_count_for_period(self, collect_period)
def _collect_hfc_data_for_period(self, collect_period: List[Tuple[str, datetime]]) -> Dict[str, Any]:
return StatisticOutputTask._collect_hfc_data_for_period(self, collect_period)
@@ -1745,6 +1762,6 @@ class AsyncStatisticOutputTask(AsyncTask):
def _generate_chart_tab(self, chart_data: dict) -> str:
return StatisticOutputTask._generate_chart_tab(self, chart_data)
def _generate_hfc_stats_tab(self, stat: dict[str, Any]) -> str:
return StatisticOutputTask._generate_hfc_stats_tab(self, stat)