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https://github.com/TriM-Organization/LiteyukiBot-TriM.git
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✨ orm框架新增@db.on_save回调函数,用于检测数据库更新时的变动
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@ -257,7 +257,6 @@ async def _(result: Arparma, bot: T_Bot, event: T_MessageEvent, matcher: Matcher
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"""
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api_name = result.main_args.get("api")
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args: tuple[str] = result.main_args.get("args", ()) # 类似于url参数,但每个参数间用空格分隔,空格是%20
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print(args)
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args_dict = {}
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for arg in args:
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@ -392,8 +391,9 @@ need_group_id = (
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"send_msg",
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"set_group_card",
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"set_group_name",
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"set_group_special_title",
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"get_group_member_info",
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"get_group_member_list",
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"get_group_honor_info"
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)
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)
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@ -1,6 +1,7 @@
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import asyncio
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import random
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import nonebot
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from nonebot import Bot, on_message, get_driver, require
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from nonebot.internal.matcher import Matcher
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from nonebot.permission import SUPERUSER
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@ -38,8 +39,6 @@ async def _(result: Arparma, event: T_MessageEvent, matcher: Matcher):
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if get_message_type(event) == "group":
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group_id = event.group_id
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probability = result.main_args.get("probability")
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# 保存到内存
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group_reply_probability[group_id] = probability
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# 保存到数据库
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group: Group = group_db.where_one(Group(), "group_id = ?", group_id, default=Group(group_id=str(group_id)))
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group.config["reply_probability"] = probability
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@ -49,6 +48,19 @@ async def _(result: Arparma, event: T_MessageEvent, matcher: Matcher):
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return
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@group_db.on_save
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def _(model: Group):
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"""
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在数据库更新时,更新内存中的回复概率
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Args:
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model:
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Returns:
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"""
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group_reply_probability[model.group_id] = model.config.get("reply_probability", default_reply_probability)
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@driver.on_bot_connect
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async def _(bot: Bot):
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global nicknames
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@ -85,7 +97,7 @@ async def _(event: T_MessageEvent, bot: Bot, state: T_State, matcher: Matcher):
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reply = reply.replace("。", "||").replace(",", "||").replace("!", "||").replace("?", "||")
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replies = reply.split("||")
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for r in replies:
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if r: # 防止空字符串
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if r: # 防止空字符串
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await asyncio.sleep(random.random() * 2)
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await matcher.send(r)
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else:
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@ -2,9 +2,9 @@ import os
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import pickle
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import sqlite3
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from types import NoneType
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from typing import Any
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from typing import Any, Callable
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from packaging.version import parse
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import inspect
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import nonebot
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import pydantic
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from pydantic import BaseModel
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@ -31,6 +31,8 @@ class Database:
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self.conn = sqlite3.connect(db_name)
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self.cursor = self.conn.cursor()
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self._on_save_callbacks = []
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def where_one(self, model: LiteModel, condition: str = "", *args: Any, default: Any = None) -> LiteModel | Any | None:
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"""查询第一个
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Args:
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@ -94,6 +96,9 @@ class Database:
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else:
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self._save(model.dump(by_alias=True))
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for callback in self._on_save_callbacks:
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callback(model)
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def _save(self, obj: Any) -> Any:
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# obj = copy.deepcopy(obj)
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if isinstance(obj, dict):
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@ -156,7 +161,7 @@ class Database:
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if field.startswith(self.BYTES_PREFIX):
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if isinstance(value, bytes):
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new_obj[field.replace(self.BYTES_PREFIX, "")] = self._load(pickle.loads(value))
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else: # 从value字段可能为None,fix at 2024/6/13
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else: # 从value字段可能为None,fix at 2024/6/13
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pass
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# 暂时不作处理,后面再修
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@ -301,6 +306,32 @@ class Database:
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result = self.cursor.execute(f"SELECT * FROM {table_name} WHERE id = ?", (foreign_id,)).fetchone()
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return dict(zip(fields, result))
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def on_save(self, func: Callable[[LiteModel | Any], None]):
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"""
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装饰一个可调用对象使其在储存数据模型时被调用
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Args:
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func:
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Returns:
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"""
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def wrapper(model):
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# 检查被装饰函数声明的model类型和传入的model类型是否一致
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sign = inspect.signature(func)
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if param := sign.parameters.get("model"):
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if isinstance(model, param.annotation):
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pass
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else:
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return
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else:
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return
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result = func(model)
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for callback in self._on_save_callbacks:
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callback(result)
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return result
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self._on_save_callbacks.append(wrapper)
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return wrapper
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TYPE_MAPPING = {
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int : "INTEGER",
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float : "REAL",
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