feat:加入聊天频率控制相关api

This commit is contained in:
SengokuCola
2025-08-15 13:46:06 +08:00
parent 44fff4ed8a
commit 52ec28677e
6 changed files with 357 additions and 272 deletions

View File

@@ -115,274 +115,6 @@ class ChatConfig(ConfigBase):
- focus_value_adjust 控制专注思考能力数值越低越容易专注消耗token也越多
"""
def get_current_focus_value(self, chat_stream_id: Optional[str] = None) -> float:
"""
根据当前时间和聊天流获取对应的 focus_value
"""
if not self.focus_value_adjust:
return self.focus_value
if chat_stream_id:
stream_focus_value = self._get_stream_specific_focus_value(chat_stream_id)
if stream_focus_value is not None:
return stream_focus_value
global_focus_value = self._get_global_focus_value()
if global_focus_value is not None:
return global_focus_value
return self.focus_value
def get_current_talk_frequency(self, chat_stream_id: Optional[str] = None) -> float:
"""
根据当前时间和聊天流获取对应的 talk_frequency
Args:
chat_stream_id: 聊天流ID格式为 "platform:chat_id:type"
Returns:
float: 对应的频率值
"""
if not self.talk_frequency_adjust:
return self.talk_frequency
# 优先检查聊天流特定的配置
if chat_stream_id:
stream_frequency = self._get_stream_specific_frequency(chat_stream_id)
if stream_frequency is not None:
return stream_frequency
# 检查全局时段配置(第一个元素为空字符串的配置)
global_frequency = self._get_global_frequency()
return self.talk_frequency if global_frequency is None else global_frequency
def _get_global_focus_value(self) -> Optional[float]:
"""
获取全局默认专注度配置
Returns:
float: 专注度值,如果没有配置则返回 None
"""
for config_item in self.focus_value_adjust:
if not config_item or len(config_item) < 2:
continue
# 检查是否为全局默认配置(第一个元素为空字符串)
if config_item[0] == "":
return self._get_time_based_focus_value(config_item[1:])
return None
def _get_time_based_focus_value(self, time_focus_list: list[str]) -> Optional[float]:
"""
根据时间配置列表获取当前时段的专注度
Args:
time_focus_list: 时间专注度配置列表,格式为 ["HH:MM,focus_value", ...]
Returns:
float: 专注度值,如果没有配置则返回 None
"""
from datetime import datetime
current_time = datetime.now().strftime("%H:%M")
current_hour, current_minute = map(int, current_time.split(":"))
current_minutes = current_hour * 60 + current_minute
# 解析时间专注度配置
time_focus_pairs = []
for time_focus_str in time_focus_list:
try:
time_str, focus_str = time_focus_str.split(",")
hour, minute = map(int, time_str.split(":"))
focus_value = float(focus_str)
minutes = hour * 60 + minute
time_focus_pairs.append((minutes, focus_value))
except (ValueError, IndexError):
continue
if not time_focus_pairs:
return None
# 按时间排序
time_focus_pairs.sort(key=lambda x: x[0])
# 查找当前时间对应的专注度
current_focus_value = None
for minutes, focus_value in time_focus_pairs:
if current_minutes >= minutes:
current_focus_value = focus_value
else:
break
# 如果当前时间在所有配置时间之前,使用最后一个时间段的专注度(跨天逻辑)
if current_focus_value is None and time_focus_pairs:
current_focus_value = time_focus_pairs[-1][1]
return current_focus_value
def _get_time_based_frequency(self, time_freq_list: list[str]) -> Optional[float]:
"""
根据时间配置列表获取当前时段的频率
Args:
time_freq_list: 时间频率配置列表,格式为 ["HH:MM,frequency", ...]
Returns:
float: 频率值,如果没有配置则返回 None
"""
from datetime import datetime
current_time = datetime.now().strftime("%H:%M")
current_hour, current_minute = map(int, current_time.split(":"))
current_minutes = current_hour * 60 + current_minute
# 解析时间频率配置
time_freq_pairs = []
for time_freq_str in time_freq_list:
try:
time_str, freq_str = time_freq_str.split(",")
hour, minute = map(int, time_str.split(":"))
frequency = float(freq_str)
minutes = hour * 60 + minute
time_freq_pairs.append((minutes, frequency))
except (ValueError, IndexError):
continue
if not time_freq_pairs:
return None
# 按时间排序
time_freq_pairs.sort(key=lambda x: x[0])
# 查找当前时间对应的频率
current_frequency = None
for minutes, frequency in time_freq_pairs:
if current_minutes >= minutes:
current_frequency = frequency
else:
break
# 如果当前时间在所有配置时间之前,使用最后一个时间段的频率(跨天逻辑)
if current_frequency is None and time_freq_pairs:
current_frequency = time_freq_pairs[-1][1]
return current_frequency
def _get_stream_specific_focus_value(self, chat_stream_id: str) -> Optional[float]:
"""
获取特定聊天流在当前时间的专注度
Args:
chat_stream_id: 聊天流ID哈希值
Returns:
float: 专注度值,如果没有配置则返回 None
"""
# 查找匹配的聊天流配置
for config_item in self.focus_value_adjust:
if not config_item or len(config_item) < 2:
continue
stream_config_str = config_item[0] # 例如 "qq:1026294844:group"
# 解析配置字符串并生成对应的 chat_id
config_chat_id = self._parse_stream_config_to_chat_id(stream_config_str)
if config_chat_id is None:
continue
# 比较生成的 chat_id
if config_chat_id != chat_stream_id:
continue
# 使用通用的时间专注度解析方法
return self._get_time_based_focus_value(config_item[1:])
return None
def _get_stream_specific_frequency(self, chat_stream_id: str):
"""
获取特定聊天流在当前时间的频率
Args:
chat_stream_id: 聊天流ID哈希值
Returns:
float: 频率值,如果没有配置则返回 None
"""
# 查找匹配的聊天流配置
for config_item in self.talk_frequency_adjust:
if not config_item or len(config_item) < 2:
continue
stream_config_str = config_item[0] # 例如 "qq:1026294844:group"
# 解析配置字符串并生成对应的 chat_id
config_chat_id = self._parse_stream_config_to_chat_id(stream_config_str)
if config_chat_id is None:
continue
# 比较生成的 chat_id
if config_chat_id != chat_stream_id:
continue
# 使用通用的时间频率解析方法
return self._get_time_based_frequency(config_item[1:])
return None
def _parse_stream_config_to_chat_id(self, stream_config_str: str) -> Optional[str]:
"""
解析流配置字符串并生成对应的 chat_id
Args:
stream_config_str: 格式为 "platform:id:type" 的字符串
Returns:
str: 生成的 chat_id如果解析失败则返回 None
"""
try:
parts = stream_config_str.split(":")
if len(parts) != 3:
return None
platform = parts[0]
id_str = parts[1]
stream_type = parts[2]
# 判断是否为群聊
is_group = stream_type == "group"
# 使用与 ChatStream.get_stream_id 相同的逻辑生成 chat_id
import hashlib
if is_group:
components = [platform, str(id_str)]
else:
components = [platform, str(id_str), "private"]
key = "_".join(components)
return hashlib.md5(key.encode()).hexdigest()
except (ValueError, IndexError):
return None
def _get_global_frequency(self) -> Optional[float]:
"""
获取全局默认频率配置
Returns:
float: 频率值,如果没有配置则返回 None
"""
for config_item in self.talk_frequency_adjust:
if not config_item or len(config_item) < 2:
continue
# 检查是否为全局默认配置(第一个元素为空字符串)
if config_item[0] == "":
return self._get_time_based_frequency(config_item[1:])
return None
@dataclass