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log:修改一些log

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This commit is contained in:
SengokuCola
2025-09-25 19:07:35 +08:00
parent 1ddedc1dc6
commit 20013a1a2c
13 changed files with 43 additions and 722 deletions
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2
src/chat/brain_chat/brain_planner.py
View File

@@ -492,7 +492,7 @@ class BrainPlanner:
action.action_data = action.action_data or {}
action.action_data["loop_start_time"] = loop_start_time
logger.info(
logger.debug(
f"{self.log_prefix}规划器决定执行{len(actions)}个动作: {' '.join([a.action_type for a in actions])}"
)

13
src/chat/heart_flow/heartFC_chat.py
View File

@@ -154,13 +154,16 @@ class HeartFChatting:
# 记录循环信息和计时器结果
timer_strings = []
for name, elapsed in cycle_timers.items():
formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒"
if elapsed < 0.1:
# 不显示小于0.1秒的计时器
continue
formatted_time = f"{elapsed:.2f}秒"
timer_strings.append(f"{name}: {formatted_time}")
logger.info(
f"{self.log_prefix} 第{self._current_cycle_detail.cycle_id}次思考,"
f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒" # type: ignore
+ (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "")
f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒;" # type: ignore
+ (f"详情: {'; '.join(timer_strings)}" if timer_strings else "")
)
async def _loopbody(self): # sourcery skip: hoist-if-from-if
@@ -346,8 +349,8 @@ class HeartFChatting:
)
logger.info(
f"{self.log_prefix}决定执行{len(action_to_use_info)}个动作: {' '.join([a.action_type for a in action_to_use_info])}"
)
f"{self.log_prefix} 决定执行{len(action_to_use_info)}个动作: {' '.join([a.action_type for a in action_to_use_info])}"
)
# 3. 并行执行所有动作
action_tasks = [

43
src/chat/replyer/group_generator.py
View File

@@ -215,29 +215,30 @@ class DefaultReplyer:
traceback.print_exc()
return False, llm_response
async def build_relation_info(self, chat_content: str, sender: str, person_list: List[Person]):
if not global_config.relationship.enable_relationship:
return ""
#移动到 relation插件中构建
# async def build_relation_info(self, chat_content: str, sender: str, person_list: List[Person]):
# if not global_config.relationship.enable_relationship:
# return ""
if not sender:
return ""
# if not sender:
# return ""
if sender == global_config.bot.nickname:
return ""
# if sender == global_config.bot.nickname:
# return ""
# 获取用户ID
person = Person(person_name=sender)
if not is_person_known(person_name=sender):
logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
return f"你完全不认识{sender}，不理解ta的相关信息。"
# # 获取用户ID
# person = Person(person_name=sender)
# if not is_person_known(person_name=sender):
# logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
# return f"你完全不认识{sender}，不理解ta的相关信息。"
sender_relation = await person.build_relationship(chat_content)
others_relation = ""
for person in person_list:
person_relation = await person.build_relationship()
others_relation += person_relation
# sender_relation = await person.build_relationship(chat_content)
# others_relation = ""
# for person in person_list:
# person_relation = await person.build_relationship()
# others_relation += person_relation
return f"{sender_relation}\n{others_relation}"
# return f"{sender_relation}\n{others_relation}"
async def build_expression_habits(self, chat_history: str, target: str) -> Tuple[str, List[int]]:
# sourcery skip: for-append-to-extend
@@ -680,8 +681,8 @@ class DefaultReplyer:
if person.is_known:
person_list_short.append(person)
for person in person_list_short:
print(person.person_name)
# for person in person_list_short:
# print(person.person_name)
chat_talking_prompt_short = build_readable_messages(
message_list_before_short,
@@ -956,7 +957,7 @@ class DefaultReplyer:
prompt
)
logger.debug(f"replyer生成内容: {content}")
logger.info(f"使用{model_name}生成回复内容: {content}")
return content, reasoning_content, model_name, tool_calls
async def get_prompt_info(self, message: str, sender: str, target: str):

6
src/chat/replyer/private_generator.py
View File

@@ -563,8 +563,8 @@ class PrivateReplyer:
if person.is_known:
person_list_short.append(person)
for person in person_list_short:
print(person.person_name)
# for person in person_list_short:
# print(person.person_name)
chat_talking_prompt_short = build_readable_messages(
message_list_before_short,
@@ -829,7 +829,7 @@ class PrivateReplyer:
prompt
)
logger.debug(f"replyer生成内容: {content}")
logger.info(f"使用 {model_name} 生成回复内容: {content}")
return content, reasoning_content, model_name, tool_calls
async def get_prompt_info(self, message: str, sender: str, target: str):

6
src/common/logger.py
View File

@@ -363,8 +363,8 @@ MODULE_COLORS = {
"planner": "\033[36m",
"relation": "\033[38;5;139m", # 柔和的紫色，不刺眼
# 聊天相关模块
"normal_chat": "\033[38;5;81m", # 亮蓝绿色
"heartflow": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
"hfc": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
"bc": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
"sub_heartflow": "\033[38;5;207m", # 粉紫色
"subheartflow_manager": "\033[38;5;201m", # 深粉色
"background_tasks": "\033[38;5;240m", # 灰色
@@ -372,8 +372,6 @@ MODULE_COLORS = {
"chat_stream": "\033[38;5;51m", # 亮青色
"message_storage": "\033[38;5;33m", # 深蓝色
"expressor": "\033[38;5;166m", # 橙色
# 专注聊天模块
"memory_activator": "\033[38;5;117m", # 天蓝色
# 插件系统
"plugins": "\033[31m", # 红色
"plugin_api": "\033[33m", # 黄色

2
src/llm_models/utils_model.py
View File

@@ -148,6 +148,8 @@ class LLMRequest:
)
logger.debug(f"LLM请求总耗时: {time.time() - start_time}")
logger.debug(f"LLM生成内容: {response}")
content = response.content
reasoning_content = response.reasoning_content or ""
tool_calls = response.tool_calls

4
src/person_info/person_info.py
View File

@@ -466,8 +466,8 @@ class Person:
<分类1><分类2><分类3>......
如果没有相关的分类，请输出<none>"""
response, _ = await relation_selection_model.generate_response_async(prompt)
print(prompt)
print(response)
# print(prompt)
# print(response)
category_list = extract_categories_from_response(response)
if "none" not in category_list:
for category in category_list:

4
src/plugin_system/apis/llm_api.py
View File

@@ -66,8 +66,8 @@ async def generate_with_model(
Tuple[bool, str, str, str]: (是否成功, 生成的内容, 推理过程, 模型名称)
"""
try:
model_name_list = model_config.model_list
logger.info(f"[LLMAPI] 使用模型集合 {model_name_list} 生成内容")
# model_name_list = model_config.model_list
# logger.info(f"[LLMAPI] 使用模型集合 {model_name_list} 生成内容")
logger.debug(f"[LLMAPI] 完整提示词: {prompt}")
llm_request = LLMRequest(model_set=model_config, request_type=request_type)

2
src/plugin_system/apis/send_api.py
View File

@@ -100,7 +100,7 @@ async def _send_to_target(
anchor_message: Union["MessageRecv", None] = None
if reply_message:
anchor_message = db_message_to_message_recv(reply_message)
logger.info(f"[SendAPI] 找到匹配的回复消息，发送者: {anchor_message.message_info.user_info.user_id}") # type: ignore
logger.debug(f"[SendAPI] 找到匹配的回复消息，发送者: {anchor_message.message_info.user_info.user_id}") # type: ignore
if anchor_message:
anchor_message.update_chat_stream(target_stream)
assert anchor_message.message_info.user_info, "用户信息缺失"

1
src/plugin_system/core/tool_use.py
View File

@@ -180,7 +180,6 @@ class ToolExecutor:
tool_results.append(tool_info)
used_tools.append(tool_name)
logger.info(f"{self.log_prefix}工具{tool_name}执行成功，类型: {tool_info['type']}")
preview = content[:200]
logger.debug(f"{self.log_prefix}工具{tool_name}结果内容: {preview}...")
except Exception as e: