pull/1318/head
SengokuCola 2025-10-25 16:05:58 +08:00
commit 3f7f3da4d1
3 changed files with 60 additions and 37 deletions

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@ -21,6 +21,10 @@ def init_prompt():
如果用户觉得你的发言过于频繁请输出"过于频繁"否则输出"正常"
如果用户觉得你的发言过少请输出"过少"否则输出"正常"
**你只能输出以下三个词之一不要输出任何其他文字解释或标点**
- 正常
- 过于频繁
- 过少
""",
"frequency_adjust_prompt",
)
@ -103,13 +107,18 @@ class FrequencyControl:
logger.info(f"频率调整 reasoning_content: {reasoning_content}")
final_value_by_api = frequency_api.get_current_talk_value(self.chat_id)
if "过于频繁" in response:
logger.info(f"频率调整: 过于频繁,调整值到{final_value_by_api}")
self.talk_frequency_adjust = max(0.1, min(3.0, self.talk_frequency_adjust * 0.8))
elif "过少" in response:
logger.info(f"频率调整: 过少,调整值到{final_value_by_api}")
self.talk_frequency_adjust = max(0.1, min(3.0, self.talk_frequency_adjust * 1.2))
self.last_frequency_adjust_time = time.time()
# LLM依然输出过多内容时取消本次调整。合法最多4个字但有的模型可能会输出一些markdown换行符等需要长度宽限
if len(response) < 20:
if "过于频繁" in response:
logger.info(f"频率调整: 过于频繁,调整值到{final_value_by_api}")
self.talk_frequency_adjust = max(0.1, min(3.0, self.talk_frequency_adjust * 0.8))
elif "过少" in response:
logger.info(f"频率调整: 过少,调整值到{final_value_by_api}")
self.talk_frequency_adjust = max(0.1, min(3.0, self.talk_frequency_adjust * 1.2))
self.last_frequency_adjust_time = time.time()
else:
logger.info(f"频率调整response不符合要求取消本次调整")
class FrequencyControlManager:
"""频率控制管理器,管理多个聊天流的频率控制实例"""

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@ -519,29 +519,32 @@ class StatisticOutputTask(AsyncTask):
last_all_time_stat = None
if "last_full_statistics" in local_storage:
# 如果存在上次完整统计数据,则使用该数据进行增量统计
last_stat: Dict[str, Any] = local_storage["last_full_statistics"] # 上次完整统计数据 # type: ignore
try:
if "last_full_statistics" in local_storage:
# 如果存在上次完整统计数据,则使用该数据进行增量统计
last_stat: Dict[str, Any] = local_storage["last_full_statistics"] # 上次完整统计数据 # type: ignore
# 修复 name_mapping 数据类型不匹配问题
# JSON 中存储为列表,但代码期望为元组
raw_name_mapping = last_stat["name_mapping"]
self.name_mapping = {}
for chat_id, value in raw_name_mapping.items():
if isinstance(value, list) and len(value) == 2:
# 将列表转换为元组
self.name_mapping[chat_id] = (value[0], value[1])
elif isinstance(value, tuple) and len(value) == 2:
# 已经是元组,直接使用
self.name_mapping[chat_id] = value
else:
# 数据格式不正确,跳过或使用默认值
logger.warning(f"name_mapping 中 chat_id {chat_id} 的数据格式不正确: {value}")
continue
last_all_time_stat = last_stat["stat_data"] # 上次完整统计的统计数据
last_stat_timestamp = datetime.fromtimestamp(last_stat["timestamp"]) # 上次完整统计数据的时间戳
self.stat_period = [item for item in self.stat_period if item[0] != "all_time"] # 删除"所有时间"的统计时段
self.stat_period.append(("all_time", now - last_stat_timestamp, "自部署以来的"))
# 修复 name_mapping 数据类型不匹配问题
# JSON 中存储为列表,但代码期望为元组
raw_name_mapping = last_stat["name_mapping"]
self.name_mapping = {}
for chat_id, value in raw_name_mapping.items():
if isinstance(value, list) and len(value) == 2:
# 将列表转换为元组
self.name_mapping[chat_id] = (value[0], value[1])
elif isinstance(value, tuple) and len(value) == 2:
# 已经是元组,直接使用
self.name_mapping[chat_id] = value
else:
# 数据格式不正确,跳过或使用默认值
logger.warning(f"name_mapping 中 chat_id {chat_id} 的数据格式不正确: {value}")
continue
last_all_time_stat = last_stat["stat_data"] # 上次完整统计的统计数据
last_stat_timestamp = datetime.fromtimestamp(last_stat["timestamp"]) # 上次完整统计数据的时间戳
self.stat_period = [item for item in self.stat_period if item[0] != "all_time"] # 删除"所有时间"的统计时段
self.stat_period.append(("all_time", now - last_stat_timestamp, "自部署以来的"))
except Exception as e:
logger.warning(f"加载上次完整统计数据失败,进行全量统计,错误信息:{e}")
stat_start_timestamp = [(period[0], now - period[1]) for period in self.stat_period]

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@ -29,12 +29,19 @@ def compress_messages(messages: list[Message], img_target_size: int = 1 * 1024 *
:return: 转换后的图片数据
"""
try:
image = Image.open(image_data)
image = Image.open(io.BytesIO(image_data))
if image.format and (image.format.upper() in ["JPEG", "JPG", "PNG", "WEBP"]):
# 静态图像转换为JPEG格式
# 仅在非动图时进行格式转换
if (
not getattr(image, "is_animated", False)
and image.format
and (image.format.upper() in ["JPEG", "JPG", "PNG", "WEBP"])
):
reformated_image_data = io.BytesIO()
image.save(reformated_image_data, format="JPEG", quality=95, optimize=True)
img_to_save = image
if img_to_save.mode in ("RGBA", "LA", "P"):
img_to_save = img_to_save.convert("RGB")
img_to_save.save(reformated_image_data, format="JPEG", quality=95, optimize=True)
image_data = reformated_image_data.getvalue()
return image_data
@ -50,20 +57,22 @@ def compress_messages(messages: list[Message], img_target_size: int = 1 * 1024 *
:return: 缩放后的图片数据
"""
try:
image = Image.open(image_data)
image = Image.open(io.BytesIO(image_data))
# 原始尺寸
original_size = (image.width, image.height)
# 计算新的尺寸
new_size = (int(original_size[0] * scale), int(original_size[1] * scale))
# 计算新的尺寸防止为0
new_w = max(1, int(original_size[0] * scale))
new_h = max(1, int(original_size[1] * scale))
new_size = (new_w, new_h)
output_buffer = io.BytesIO()
if getattr(image, "is_animated", False):
# 动态图片,处理所有帧
frames = []
new_size = (new_size[0] // 2, new_size[1] // 2) # 动图,缩放尺寸再打折
new_size = (max(1, new_size[0] // 2), max(1, new_size[1] // 2)) # 动图,缩放尺寸再打折
for frame_idx in range(getattr(image, "n_frames", 1)):
image.seek(frame_idx)
new_frame = image.copy()
@ -83,6 +92,8 @@ def compress_messages(messages: list[Message], img_target_size: int = 1 * 1024 *
else:
# 静态图片,直接缩放保存
resized_image = image.resize(new_size, Image.Resampling.LANCZOS)
if resized_image.mode in ("RGBA", "LA", "P"):
resized_image = resized_image.convert("RGB")
resized_image.save(output_buffer, format="JPEG", quality=95, optimize=True)
return output_buffer.getvalue(), original_size, new_size