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feat：修复了action变更，修改了默认配置，提升版本号

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This commit is contained in:
SengokuCola
2025-05-27 12:41:23 +08:00
parent 57c9dacb99
commit 890a7b6505
19 changed files with 163 additions and 90 deletions
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40
changelogs/changelog.md
View File

@@ -2,7 +2,8 @@
## [0.7.0] -2025-6-1
- 重构数据库，弃用MongoDB，采用轻量sqlite,无需额外安装
- 重构HFC，可扩展的聊天模式
- 重构HFC，可扩展的聊天模式，支持独立的表达模式
- HFC，丰富HFC的决策信息，更好的把握聊天内容
- HFC初步支持插件v0.1（测试版）
- 重构表情包模块
- 移除日程系统
@@ -26,6 +27,20 @@
- 插件：禁言动作
- 表达器：装饰语言风格
- 可通过插件添加和自定义HFC部件（目前只支持action定义）
- 为专注模式添加关系线索
- 在专注模式下，麦麦可以决定自行发送语音消息（需要搭配tts适配器）
- 优化reply，减少复读
**新增表达方式学习**
- 在专注模式下，麦麦可以有独特的表达方式
- 自主学习群聊中的表达方式，更贴近群友
- 可自定义的学习频率和开关
- 根据人设生成额外的表达方式
**聊天管理**
- 移除不在线状态
- 大幅精简聊天状态切换规则，减少复杂度
- 移除聊天限额数量
**插件系统**
- 添加示例插件
@@ -35,27 +50,14 @@
**人格**
- 简化了人格身份的配置
**语音**
- 麦麦可以决定自行发送语音消息（需要搭配tts适配器）
**新增表达方式学习**
- 自主学习群聊中的表达方式，更贴近群友
- 可自定义的学习频率和开关
- 根据人设生成额外的表达方式
**聊天管理**
- 移除不在线状态
- 大幅精简聊天状态切换规则，减少复杂度
- 移除聊天限额数量
**数据库重构**
- 移除了默认使用MongoDB，采用轻量sqlite
- 无需额外安装数据库
- 提供迁移脚本
- 移除了默认使用MongoDB，采用轻量sqlite
- 无需额外安装数据库
- 提供迁移脚本
**优化**
- 移除日程系统，减少幻觉（将会在未来版本回归）
- 移除主心流思考和LLM进入聊天判定
- 移除日程系统，减少幻觉（将会在未来版本回归）
- 移除主心流思考和LLM进入聊天判定
## [0.6.3-fix-4] - 2025-5-18

11
src/chat/emoji_system/emoji_manager.py
View File

@@ -149,7 +149,7 @@ class MaiEmoji:
emotion_str = ",".join(self.emotion) if self.emotion else ""
Emoji.create(
hash=self.hash,
emoji_hash=self.hash,
full_path=self.full_path,
format=self.format,
description=self.description,
@@ -367,7 +367,9 @@ class EmojiManager:
return cls._instance
def __init__(self) -> None:
self._initialized = None
if self._initialized:
return # 如果已经初始化过，直接返回
self._scan_task = None
self.vlm = LLMRequest(model=global_config.model.vlm, temperature=0.3, max_tokens=1000, request_type="emoji")
@@ -389,6 +391,7 @@ class EmojiManager:
raise RuntimeError("数据库连接失败")
_ensure_emoji_dir()
Emoji.create_table(safe=True) # Ensures table exists
self._initialized = True
def _ensure_db(self) -> None:
"""确保数据库已初始化"""
@@ -467,7 +470,7 @@ class EmojiManager:
selected_emoji, similarity, matched_emotion = random.choice(top_emojis)
# 更新使用次数
self.record_usage(selected_emoji.emoji_hash)
self.record_usage(selected_emoji.hash)
_time_end = time.time()
@@ -796,7 +799,7 @@ class EmojiManager:
# 删除选定的表情包
logger.info(f"[决策] 删除表情包: {emoji_to_delete.description}")
delete_success = await self.delete_emoji(emoji_to_delete.emoji_hash)
delete_success = await self.delete_emoji(emoji_to_delete.hash)
if delete_success:
# 修复：等待异步注册完成

2
src/chat/focus_chat/expressors/exprssion_learner.py
View File

@@ -5,7 +5,7 @@ from src.common.logger_manager import get_logger
from src.llm_models.utils_model import LLMRequest
from src.config.config import global_config
from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_random, build_anonymous_messages
from src.chat.focus_chat.heartflow_prompt_builder import Prompt, global_prompt_manager
from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
import os
import json

47
src/chat/focus_chat/info_processors/action_processor.py
View File

@@ -56,45 +56,57 @@ class ActionProcessor(BaseProcessor):
all_actions = None
hfc_obs = None
chat_obs = None
# 收集所有观察对象
for obs in observations:
if isinstance(obs, HFCloopObservation):
hfc_obs = obs
if isinstance(obs, ChattingObservation):
chat_obs = obs
# 合并所有动作变更
merged_action_changes = {"add": [], "remove": []}
reasons = []
# 处理HFCloopObservation
if hfc_obs:
obs = hfc_obs
# 创建动作信息
all_actions = obs.all_actions
action_changes = await self.analyze_loop_actions(obs)
if action_changes["add"] or action_changes["remove"]:
action_info.set_action_changes(action_changes)
# 设置变更原因
reasons = []
# 合并动作变更
merged_action_changes["add"].extend(action_changes["add"])
merged_action_changes["remove"].extend(action_changes["remove"])
# 收集变更原因
if action_changes["add"]:
reasons.append(f"添加动作{action_changes['add']}因为检测到大量无回复")
if action_changes["remove"]:
reasons.append(f"移除动作{action_changes['remove']}因为检测到连续回复")
action_info.set_reason(" | ".join(reasons))
# 处理ChattingObservation
if chat_obs and all_actions is not None:
obs = chat_obs
action_changes = {"add": [], "remove": []}
# 检查动作的关联类型
chat_context = chat_manager.get_stream(obs.chat_id).context
type_mismatched_actions = []
for action_name in all_actions.keys():
data = all_actions[action_name]
if data.get("associated_types"):
if not chat_context.check_types(data["associated_types"]):
action_changes["remove"].append(action_name)
type_mismatched_actions.append(action_name)
logger.debug(f"{self.log_prefix} 动作 {action_name} 关联类型不匹配，移除该动作")
if len(action_changes["remove"]) > 0:
action_info.set_action_changes(action_changes)
# 设置变更原因
reasons = []
if action_info.get_reason():
reasons.append(action_info.get_reason())
if action_changes["remove"]:
reasons.append(f"移除动作{action_changes['remove']}因为关联类型不匹配")
action_info.set_reason(" | ".join(reasons))
if type_mismatched_actions:
# 合并到移除列表中
merged_action_changes["remove"].extend(type_mismatched_actions)
reasons.append(f"移除动作{type_mismatched_actions}因为关联类型不匹配")
# 如果有任何动作变更，设置到action_info中
if merged_action_changes["add"] or merged_action_changes["remove"]:
action_info.set_action_changes(merged_action_changes)
action_info.set_reason(" | ".join(reasons))
processed_infos.append(action_info)
@@ -129,7 +141,8 @@ class ActionProcessor(BaseProcessor):
# 检查no_reply比例
if len(recent_cycles) >= 5 and (no_reply_count / len(recent_cycles)) >= 0.8:
result["add"].append("exit_focus_chat")
if global_config.chat.chat_mode == "auto":
result["add"].append("exit_focus_chat")
# 获取最近三次的reply状态
last_three = reply_sequence[-3:] if len(reply_sequence) >= 3 else reply_sequence

30
src/chat/focus_chat/info_processors/self_processor.py
View File

@@ -15,6 +15,7 @@ from src.chat.heart_flow.observation.hfcloop_observation import HFCloopObservati
from typing import Dict
from src.chat.focus_chat.info.info_base import InfoBase
from src.chat.focus_chat.info.self_info import SelfInfo
from src.chat.utils.utils import get_recent_group_speaker
logger = get_logger("processor")
@@ -22,7 +23,7 @@ logger = get_logger("processor")
def init_prompt():
indentify_prompt = """
{name_block}
你是一个AI，但是你伪装成了一个人类，你的人格是，{prompt_personality}。
你是一个AI，但是你伪装成了一个人类，你的人格是，{prompt_personality}
{indentify_block}
{relation_prompt}
@@ -100,12 +101,27 @@ class SelfProcessor(BaseProcessor):
如果return_prompt为True:
tuple: (current_mind, past_mind, prompt) 当前想法、过去的想法列表和使用的prompt
"""
for observation in observations:
if isinstance(observation, ChattingObservation):
is_group_chat = observation.is_group_chat
chat_target_info = observation.chat_target_info
chat_target_name = "对方" # 私聊默认名称
person_list = observation.person_list
memory_str = ""
if running_memorys:
memory_str = "以下是当前在聊天中，你回忆起的记忆：\n"
for running_memory in running_memorys:
memory_str += f"{running_memory['topic']}: {running_memory['content']}\n"
relation_prompt = ""
for person in person_list:
if len(person) >= 3 and person[0] and person[1]:
relation_prompt += await relationship_manager.build_relationship_info(person,is_id=True)
if observations is None:
observations = []
@@ -135,9 +151,17 @@ class SelfProcessor(BaseProcessor):
personality_block = individuality.get_personality_prompt(x_person=2, level=2)
identity_block = individuality.get_identity_prompt(x_person=2, level=2)
relation_prompt = ""
if is_group_chat:
relation_prompt_init = "在这个群聊中，你：\n"
else:
relation_prompt_init = ""
for person in person_list:
relation_prompt += await relationship_manager.build_relationship_info(person, is_id=True)
if relation_prompt:
relation_prompt = relation_prompt_init + relation_prompt
else:
relation_prompt = relation_prompt_init + "没有特别在意的人\n"
prompt = (await global_prompt_manager.get_prompt_async("indentify_prompt")).format(
name_block=name_block,
@@ -148,6 +172,8 @@ class SelfProcessor(BaseProcessor):
time_now=time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),
chat_observe_info=chat_observe_info,
)
# print(prompt)
content = ""
try:

33
src/chat/focus_chat/planners/planner.py
View File

@@ -36,6 +36,8 @@ def init_prompt():
{mind_info_block}
{cycle_info_block}
{action_available_block}
请综合分析聊天内容和你看到的新消息，参考聊天规划，选择合适的action:
{action_options_text}
@@ -43,6 +45,8 @@ def init_prompt():
你必须从上面列出的可用action中选择一个，并说明原因。
你的决策必须以严格的 JSON 格式输出，且仅包含 JSON 内容，不要有任何其他文字或解释。
{moderation_prompt}
请你以下面格式输出你选择的action：
{{
"action": "action_name",
@@ -104,6 +108,7 @@ class ActionPlanner:
add_actions = info.get_add_actions()
remove_actions = info.get_remove_actions()
reason = info.get_reason()
print(f"{self.log_prefix} 动作变更: {add_actions} {remove_actions} {reason}")
# 处理动作的增加
for action_name in add_actions:
@@ -120,6 +125,14 @@ class ActionPlanner:
if action in remove_actions:
action = "no_reply"
reasoning = f"之前选择的动作{action}已被移除，原因: {reason}"
using_actions = self.action_manager.get_using_actions()
action_available_block = ""
for action_name, action_info in using_actions.items():
action_description = action_info["description"]
action_available_block += f"\n你在聊天中可以使用{action_name}，这个动作的描述是{action_description}\n"
action_available_block += "注意，除了上述动作选项之外，你在群聊里不能做其他任何事情，这是你能力的边界\n"
# 继续处理其他信息
for info in all_plan_info:
@@ -142,11 +155,11 @@ class ActionPlanner:
# 获取当前可用的动作
current_available_actions = self.action_manager.get_using_actions()
# 如果没有可用动作，直接返回no_reply
if not current_available_actions:
logger.warning(f"{self.log_prefix}没有可用的动作，将使用no_reply")
# 如果没有可用动作或只有no_reply动作，直接返回no_reply
if not current_available_actions or (len(current_available_actions) == 1 and "no_reply" in current_available_actions):
action = "no_reply"
reasoning = "没有可用的动作"
reasoning = "没有可用的动作" if not current_available_actions else "只有no_reply动作可用，跳过规划"
logger.info(f"{self.log_prefix}{reasoning}")
return {
"action_result": {"action_type": action, "action_data": action_data, "reasoning": reasoning},
"current_mind": current_mind,
@@ -164,6 +177,7 @@ class ActionPlanner:
current_available_actions=current_available_actions, # <-- Pass determined actions
cycle_info=cycle_info, # <-- Pass cycle info
extra_info=extra_info,
action_available_block=action_available_block,
)
# --- 调用 LLM (普通文本生成) ---
@@ -249,6 +263,7 @@ class ActionPlanner:
chat_target_info: Optional[dict], # Now passed as argument
observed_messages_str: str,
current_mind: Optional[str],
action_available_block: str,
current_available_actions: Dict[str, ActionInfo],
cycle_info: Optional[str],
extra_info: list[str],
@@ -306,7 +321,13 @@ class ActionPlanner:
action_options_block += using_action_prompt
extra_info_block = "\n".join(extra_info)
extra_info_block = f"以下是一些额外的信息，现在请你阅读以下内容，进行决策\n{extra_info_block}\n以上是一些额外的信息，现在请你阅读以下内容，进行决策"
if extra_info:
extra_info_block = f"以下是一些额外的信息，现在请你阅读以下内容，进行决策\n{extra_info_block}\n以上是一些额外的信息，现在请你阅读以下内容，进行决策"
else:
extra_info_block = ""
moderation_prompt_block = "请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。"
planner_prompt_template = await global_prompt_manager.get_prompt_async("planner_prompt")
prompt = planner_prompt_template.format(
@@ -318,7 +339,9 @@ class ActionPlanner:
mind_info_block=mind_info_block,
cycle_info_block=cycle_info,
action_options_text=action_options_block,
action_available_block=action_available_block,
extra_info_block=extra_info_block,
moderation_prompt=moderation_prompt_block,
)
return prompt

6
src/chat/heart_flow/observation/hfcloop_observation.py
View File

@@ -84,10 +84,4 @@ class HFCloopObservation:
else:
cycle_info_block += "\n你还没看过消息\n"
using_actions = self.action_manager.get_using_actions()
for action_name, action_info in using_actions.items():
action_description = action_info["description"]
cycle_info_block += f"\n你在聊天中可以使用{action_name}，这个动作的描述是{action_description}\n"
cycle_info_block += "注意，除了上述动作选项之外，你在群聊里不能做其他任何事情，这是你能力的边界\n"
self.observe_info = cycle_info_block

2
src/chat/normal_chat/normal_chat_generator.py
View File

@@ -3,7 +3,7 @@ import random
from src.llm_models.utils_model import LLMRequest
from src.config.config import global_config
from src.chat.message_receive.message import MessageThinking
from src.chat.focus_chat.heartflow_prompt_builder import prompt_builder
from src.chat.normal_chat.normal_prompt import prompt_builder
from src.chat.utils.utils import process_llm_response
from src.chat.utils.timer_calculator import Timer
from src.common.logger_manager import get_logger

34
src/chat/focus_chat/heartflow_prompt_builder.py → src/chat/normal_chat/normal_prompt.py
View File

@@ -17,14 +17,14 @@ logger = get_logger("prompt")
def init_prompt():
Prompt(
"""
你有以下信息可供参考：
{structured_info}
以上的消息是你获取到的消息，或许可以帮助你更好地回复。
""",
"info_from_tools",
)
# Prompt(
# """
# 你有以下信息可供参考：
# {structured_info}
# 以上的消息是你获取到的消息，或许可以帮助你更好地回复。
# """,
# "info_from_tools",
# )
Prompt("你正在qq群里聊天，下面是群里在聊的内容：", "chat_target_group1")
Prompt("你正在和{sender_name}聊天，这是你们之前聊的内容：", "chat_target_private1")
@@ -94,9 +94,9 @@ class PromptBuilder:
in_mind_reply=None,
target_message=None,
) -> Optional[str]:
if build_mode == "normal":
return await self._build_prompt_normal(chat_stream, message_txt or "", sender_name)
return None
return await self._build_prompt_normal(chat_stream, message_txt or "", sender_name)
async def _build_prompt_normal(self, chat_stream, message_txt: str, sender_name: str = "某人") -> str:
prompt_personality = individuality.get_prompt(x_person=2, level=2)
@@ -107,7 +107,7 @@ class PromptBuilder:
who_chat_in_group = get_recent_group_speaker(
chat_stream.stream_id,
(chat_stream.user_info.platform, chat_stream.user_info.user_id) if chat_stream.user_info else None,
limit=global_config.focus_chat.observation_context_size,
limit=global_config.normal_chat.max_context_size,
)
elif chat_stream.user_info:
who_chat_in_group.append(
@@ -118,8 +118,8 @@ class PromptBuilder:
for person in who_chat_in_group:
if len(person) >= 3 and person[0] and person[1]:
relation_prompt += await relationship_manager.build_relationship_info(person)
else:
logger.warning(f"Invalid person tuple encountered for relationship prompt: {person}")
mood_prompt = mood_manager.get_mood_prompt()
reply_styles1 = [
("然后给出日常且口语化的回复，平淡一些", 0.4),
@@ -193,6 +193,8 @@ class PromptBuilder:
prompt_ger += "你喜欢用文言文"
if random.random() < 0.04:
prompt_ger += "你喜欢用流行梗"
moderation_prompt_block = "请不要输出违法违规内容，不要输出色情，暴力，政治相关内容，如有敏感内容，请规避。"
# 知识构建
start_time = time.time()
@@ -231,7 +233,7 @@ class PromptBuilder:
keywords_reaction_prompt=keywords_reaction_prompt,
prompt_ger=prompt_ger,
# moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
moderation_prompt="",
moderation_prompt=moderation_prompt_block,
)
else:
template_name = "reasoning_prompt_private_main"
@@ -254,7 +256,7 @@ class PromptBuilder:
keywords_reaction_prompt=keywords_reaction_prompt,
prompt_ger=prompt_ger,
# moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
moderation_prompt="",
moderation_prompt=moderation_prompt_block,
)
# --- End choosing template ---

6
src/chat/utils/utils_image.py
View File

@@ -83,7 +83,7 @@ class ImageManager:
current_timestamp = time.time()
defaults = {"description": description, "timestamp": current_timestamp}
desc_obj, created = ImageDescriptions.get_or_create(
hash=image_hash, type=description_type, defaults=defaults
image_description_hash=image_hash, type=description_type, defaults=defaults
)
if not created: # 如果记录已存在，则更新
desc_obj.description = description
@@ -150,7 +150,7 @@ class ImageManager:
img_obj.save()
except Images.DoesNotExist:
Images.create(
hash=image_hash,
emoji_hash=image_hash,
path=file_path,
type="emoji",
description=description,
@@ -223,7 +223,7 @@ class ImageManager:
img_obj.save()
except Images.DoesNotExist:
Images.create(
hash=image_hash,
emoji_hash=image_hash,
path=file_path,
type="image",
description=description,

4
src/common/logger.py
View File

@@ -663,11 +663,11 @@ PROCESSOR_STYLE_CONFIG = {
PLANNER_STYLE_CONFIG = {
"advanced": {
"console_format": "<level>{time:HH:mm:ss}</level> | <fg #4DCDFF>规划器</fg #4DCDFF> | <fg #4DCDFF>{message}</fg #4DCDFF>",
"console_format": "<level>{time:HH:mm:ss}</level> | <fg #069AFF>规划器</fg #069AFF> | <fg #069AFF>{message}</fg #069AFF>",
"file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 规划器 | {message}",
},
"simple": {
"console_format": "<level>{time:HH:mm:ss}</level> | <fg #4DCDFF>规划器</fg #4DCDFF> | <fg #4DCDFF>{message}</fg #4DCDFF>",
"console_format": "<level>{time:HH:mm:ss}</level> | <fg #069AFF>规划器</fg #069AFF> | <fg #069AFF>{message}</fg #069AFF>",
"file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | 规划器 | {message}",
},
}

2
src/config/config.py
View File

@@ -45,7 +45,7 @@ TEMPLATE_DIR = "template"
# 考虑到，实际上配置文件中的mai_version是不会自动更新的,所以采用硬编码
# 对该字段的更新，请严格参照语义化版本规范：https://semver.org/lang/zh-CN/
MMC_VERSION = "0.7.0-snapshot.1"
MMC_VERSION = "0.7.0-snapshot.2"
def update_config():

3
src/config/official_configs.py
View File

@@ -181,6 +181,9 @@ class EmojiConfig(ConfigBase):
save_pic: bool = False
"""是否保存图片"""
save_emoji: bool = False
"""是否保存表情包"""
cache_emoji: bool = True
"""是否缓存表情包"""

2
src/individuality/expression_style.py
View File

@@ -83,7 +83,7 @@ class PersonalityExpression:
logger.error(f"删除旧的表达文件 {self.expressions_file_path} 失败: {e}")
if count >= self.max_calculations:
logger.info(f"对于风格 '{current_style_text}' 已达到最大计算次数 ({self.max_calculations})。跳过提取。")
logger.debug(f"对于风格 '{current_style_text}' 已达到最大计算次数 ({self.max_calculations})。跳过提取。")
# 即使跳过，也更新元数据以反映当前风格已被识别且计数已满
self._write_meta_data({"last_style_text": current_style_text, "count": count})
return

3
src/llm_models/utils_model.py
View File

@@ -435,7 +435,7 @@ class LLMRequest:
logger.error(
f"模型 {self.model_name} 错误码: {response.status} - {error_code_mapping.get(response.status)}"
)
raise RuntimeError("服务器负载过高，模型恢复失败QAQ")
raise RuntimeError("服务器负载过高，模型回复失败QAQ")
else:
logger.warning(f"模型 {self.model_name} 请求限制(429)，等待{wait_time}秒后重试...")
raise RuntimeError("请求限制(429)")
@@ -459,6 +459,7 @@ class LLMRequest:
logger.error(
f"模型 {self.model_name} 错误码: {response.status} - {error_code_mapping.get(response.status)}"
)
print(response)
# 尝试获取并记录服务器返回的详细错误信息
try:
error_json = await response.json()

5
src/main.py
View File

@@ -96,11 +96,6 @@ class MainSystem:
personality_core=global_config.personality.personality_core,
personality_sides=global_config.personality.personality_sides,
identity_detail=global_config.identity.identity_detail,
height=global_config.identity.height,
weight=global_config.identity.weight,
age=global_config.identity.age,
gender=global_config.identity.gender,
appearance=global_config.identity.appearance,
)
logger.success("个体特征初始化成功")

19
src/person_info/relationship_manager.py
View File

@@ -297,6 +297,8 @@ class RelationshipManager:
relationship_value = await person_info_manager.get_value(person_id, "relationship_value")
level_num = self.calculate_level_num(relationship_value)
relation_value_prompt = ""
if level_num == 0 or level_num == 5:
relationship_level = ["厌恶", "冷漠以对", "认识", "友好对待", "喜欢", "暧昧"]
relation_prompt2_list = [
@@ -307,9 +309,9 @@ class RelationshipManager:
"积极回复",
"友善和包容的回复",
]
return f"你{relationship_level[level_num]}{person_name}，打算{relation_prompt2_list[level_num]}。\n"
relation_value_prompt = f"你{relationship_level[level_num]}{person_name}，打算{relation_prompt2_list[level_num]}。"
elif level_num == 2:
return ""
relation_value_prompt = ""
else:
if random.random() < 0.6:
relationship_level = ["厌恶", "冷漠以对", "认识", "友好对待", "喜欢", "暧昧"]
@@ -321,9 +323,18 @@ class RelationshipManager:
"积极回复",
"友善和包容的回复",
]
return f"你{relationship_level[level_num]}{person_name}，打算{relation_prompt2_list[level_num]}。\n"
relation_value_prompt = f"你{relationship_level[level_num]}{person_name}，打算{relation_prompt2_list[level_num]}。"
else:
return ""
relation_value_prompt = ""
if relation_value_prompt:
nickname_str = await person_info_manager.get_value(person_id, "nickname")
platform = await person_info_manager.get_value(person_id, "platform")
relation_prompt = f"{relation_value_prompt}，ta在{platform}上的昵称是{nickname_str}。\n"
else:
relation_prompt = ""
return relation_prompt
@staticmethod
def calculate_level_num(relationship_value) -> int:

2
src/plugins/test_plugin_pic/actions/pic_action.py
View File

@@ -153,7 +153,7 @@ class PicAction(PluginAction):
if encode_success:
base64_image_string = encode_result
send_success = await self.send_message(type="emoji", data=base64_image_string)
send_success = await self.send_message(type="image", data=base64_image_string)
if send_success:
await self.send_message_by_expressor("图片表情已发送！")
return True, "图片表情已发送"

2
template/bot_config_template.toml
View File

@@ -104,7 +104,7 @@ learning_interval = 300 # 学习间隔 单位秒
max_reg_num = 40 # 表情包最大注册数量
do_replace = true # 开启则在达到最大数量时删除（替换）表情包，关闭则达到最大数量时不会继续收集表情包
check_interval = 120 # 检查表情包（注册，破损，删除）的时间间隔(分钟)
save_pic = false # 是否保存图片
save_pic = true # 是否保存图片
cache_emoji = true # 是否缓存表情包
steal_emoji = true # 是否偷取表情包，让麦麦可以发送她保存的这些表情包
content_filtration = false # 是否启用表情包过滤，只有符合该要求的表情包才会被保存