- hexi core: message handling, rate limiting, cooldown, plugin manager - Custom plugins: BF stats, daily check-in, quotes, persona cards, etc. - Community plugins vendored under hexi/plugins with local fixes - Web admin frontends (learning-chat, persona-admin), unified hexi/web - Tests for rate_limit/cooldown/memes/persona; poetry.lock Co-Authored-By: Claude <noreply@anthropic.com>
110 lines
3.6 KiB
Python
110 lines
3.6 KiB
Python
import functools
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import json
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from functools import cached_property
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from typing import List, Optional, TYPE_CHECKING
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try:
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import ujson as json
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except ImportError:
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import json
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try:
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import jieba_fast as jieba
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import jieba_fast.analyse as jieba_analyse
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except ImportError:
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import jieba
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import jieba.analyse as jieba_analyse
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from nonebot import require
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require("nonebot_plugin_orm")
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from nonebot_plugin_orm import Model
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from sqlalchemy import BigInteger, Boolean, Integer, Text, ForeignKey, Index
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from sqlalchemy.types import JSON
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from .config import config_manager
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config = config_manager.config
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JSON_DUMPS = functools.partial(json.dumps, ensure_ascii=False)
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jieba.setLogLevel(jieba.logging.INFO)
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jieba.load_userdict(config.dictionary)
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class ChatMessage(Model):
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__tablename__ = "learning_chat_message"
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__table_args__ = (
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Index("ix_message_group_time", "group_id", "time"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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group_id: Mapped[int] = mapped_column(BigInteger)
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user_id: Mapped[int] = mapped_column(BigInteger)
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message_id: Mapped[int] = mapped_column(BigInteger)
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message: Mapped[str] = mapped_column(Text)
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raw_message: Mapped[str] = mapped_column(Text)
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plain_text: Mapped[str] = mapped_column(Text)
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time: Mapped[int] = mapped_column(Integer)
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@cached_property
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def is_plain_text(self) -> bool:
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return "[CQ:" not in self.message
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@cached_property
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def keyword_list(self) -> List[str]:
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if not self.is_plain_text and not len(self.plain_text):
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return []
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return jieba_analyse.extract_tags(self.plain_text, topK=config.KEYWORDS_SIZE)
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@cached_property
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def keywords(self) -> str:
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if not self.is_plain_text and not len(self.plain_text):
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return self.message
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return (
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self.message if len(self.keyword_list) < 2 else " ".join(self.keyword_list)
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)
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class ChatContext(Model):
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__tablename__ = "learning_chat_context"
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__table_args__ = (
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Index("ix_context_keywords_time", "keywords", "time"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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keywords: Mapped[str] = mapped_column(Text)
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time: Mapped[int] = mapped_column(Integer)
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count: Mapped[int] = mapped_column(Integer, default=1)
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answers: Mapped[List["ChatAnswer"]] = relationship(back_populates="context")
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class ChatAnswer(Model):
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__tablename__ = "learning_chat_answer"
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__table_args__ = (
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Index("ix_answer_keywords_time", "keywords", "time"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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keywords: Mapped[str] = mapped_column(Text)
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group_id: Mapped[int] = mapped_column(BigInteger)
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count: Mapped[int] = mapped_column(Integer, default=1)
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time: Mapped[int] = mapped_column(Integer)
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messages: Mapped[list] = mapped_column(JSON, default=list)
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context_id: Mapped[Optional[int]] = mapped_column(
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Integer, ForeignKey("learning_chat_context.id"), nullable=True
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)
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context: Mapped[Optional[ChatContext]] = relationship(back_populates="answers")
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class ChatBlackList(Model):
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__tablename__ = "learning_chat_blacklist"
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__table_args__ = (
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Index("ix_blacklist_keywords", "keywords"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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keywords: Mapped[str] = mapped_column(Text)
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global_ban: Mapped[bool] = mapped_column(Boolean, default=False)
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ban_group_id: Mapped[list] = mapped_column(JSON, default=list) |