LLM 胜利了！！！！！！

konabot/common/ptimeparse/README.md

@@ -0,0 +1,3 @@
+# 已废弃
+
+坏枪用简单的 LLM + 提示词工程，完成了这 200 块的 `qwen3-coder-plus` 都搞不定的 nb 功能

konabot/common/ptimeparse/__init__.py

@@ -9,7 +9,6 @@ import datetime
 from typing import Optional
 
 from .expression import TimeExpression
-from .err import TokenUnhandledException, MultipleSpecificationException
 
 
 def parse(text: str, now: Optional[datetime.datetime] = None) -> datetime.datetime:
@@ -57,18 +56,3 @@ class Parser:
         """
         return TimeExpression.parse(text, self.now)
 
-    def digest_chinese_number(self, text: str) -> tuple[str, int]:
-        """
-        Parse a Chinese number from the beginning of text and return the rest and the parsed number.
-        
-        This matches the interface of the original digest_chinese_number method.
-        
-        Args:
-            text: Text that may start with a Chinese number
-            
-        Returns:
-            Tuple of (remaining_text, parsed_number)
-        """
-        from .chinese_number import ChineseNumberParser
-        parser = ChineseNumberParser()
-        return parser.digest(text)

konabot/common/ptimeparse/ptime_ast.py

@@ -2,10 +2,9 @@
 Abstract Syntax Tree (AST) nodes for the time expression parser.
 """
 
-from abc import ABC, abstractmethod
+from abc import ABC
-from typing import Optional, List
+from typing import Optional
 from dataclasses import dataclass
-import datetime
 
 
 @dataclass

konabot/common/ptimeparse/semantic.py

@@ -10,7 +10,7 @@ from .ptime_ast import (
     TimeExpressionNode, DateNode, TimeNode, 
     RelativeDateNode, RelativeTimeNode, WeekdayNode, NumberNode
 )
-from .err import TokenUnhandledException, MultipleSpecificationException
+from .err import TokenUnhandledException
 
 
 class SemanticAnalyzer:

konabot/plugins/bilibili_fetch/__init__.py

@@ -6,34 +6,25 @@ from nonebot_plugin_alconna import Reference, Reply, UniMsg
 from nonebot.adapters import Event
 
 
-matcher_fix = on_message()
-
 pattern = (
     r"^(?:(?:av|cv)\d+|BV[a-zA-Z0-9]{10})|"
     r"(?:b23\.tv|bili(?:22|23|33|2233)\.cn|\.bilibili\.com|QQ小程序(?:]|]|\])哔哩哔哩).{0,500}"
 )
 
 
-@matcher_fix.handle()
+def _rule(msg: UniMsg):
-async def _(msg: UniMsg, event: Event):
     to_search = msg.exclude(Reply, Reference).dump(json=True)
     to_search2 = msg.exclude(Reply, Reference).extract_plain_text()
     if not re.search(pattern, to_search) and not re.search(pattern, to_search2):
-        return
+        return False
+    return True
 
+
+matcher_fix = on_message(rule=_rule)
+
+@matcher_fix.handle()
+async def _(event: Event):
     from nonebot_plugin_analysis_bilibili import handle_analysis
 
     await handle_analysis(event)
 
-    # b_url: str
-    # b_page: str | None
-    # b_time: str | None
-    #
-    # from nonebot_plugin_analysis_bilibili.analysis_bilibili import extract as bilibili_extract
-    #
-    # b_url, b_page, b_time = bilibili_extract(to_search)
-    # if b_url is None:
-    #     return
-    #
-    # await matcher_fix.send(await UniMessage().text(b_url).export())
-

konabot/plugins/nya_echo/__init__.py

@@ -1,9 +1,10 @@
 from nonebot import on_message
-from nonebot_plugin_alconna import UniMessage, UniMsg
+from nonebot_plugin_alconna import UniMessage
 
-evt = on_message()
+from konabot.common.nb.match_keyword import match_keyword
+
+evt = on_message(rule=match_keyword("喵"))
 
 @evt.handle()
-async def _(msg: UniMsg):
+async def _():
-    if msg.extract_plain_text() == "喵":
+    await evt.send(await UniMessage().text("喵").export())
-        await evt.send(await UniMessage().text("喵").export())

konabot/plugins/simple_notify/__init__.py

@@ -1,9 +1,9 @@
+import re
 import aiohttp
 import asyncio as asynkio
 from math import ceil
 from pathlib import Path
 from typing import Any
-import datetime
 
 import nanoid
 import nonebot
@@ -14,9 +14,10 @@ from nonebot_plugin_alconna import Alconna, Args, Subcommand, UniMessage, UniMsg
 from pydantic import BaseModel
 
 from konabot.common.longtask import DepLongTaskTarget, LongTask, create_longtask, handle_long_task, longtask_data
-from konabot.common.ptimeparse import parse
+from konabot.common.nb.match_keyword import match_keyword
+from konabot.plugins.simple_notify.ask_llm import ask_ai
 
-evt = on_message()
+evt = on_message(rule=match_keyword(re.compile("^.+提醒我.+$")))
 
 (Path(__file__).parent.parent.parent.parent / "data").mkdir(exist_ok=True)
 DATA_FILE_PATH = Path(__file__).parent.parent.parent.parent / "data" / "notify.json"
@@ -76,21 +77,12 @@ async def _(msg: UniMsg, mEvt: Event, target: DepLongTaskTarget):
         return
 
     text = msg.extract_plain_text()
-    if "提醒我" not in text:
-        return
-
     segments = text.split("提醒我", maxsplit=1)
     if len(segments) != 2:
         return
 
-    notify_time, notify_text = segments
+    target_time, notify_text = await ask_ai(text)
-    try:
+    if target_time is None:
-        target_time = parse(notify_time)
-        logger.info(f"从 {notify_time} 解析出了时间：{target_time}")
-    except Exception:
-        logger.info(f"无法从 {notify_time} 中解析出时间")
-        return
-    if not notify_text:
         return
 
     await create_longtask(

konabot/plugins/simple_notify/ask_llm.py

@@ -0,0 +1,120 @@
+import datetime
+import json
+import re
+
+from loguru import logger
+
+from konabot.common.llm import get_llm
+
+
+SYSTEM_PROMPT = """你是一个专门解析提醒请求的助手。请分析用户输入，识别其中是否包含提醒信息，并输出标准化的JSON格式结果。
+
+输入格式通常是："现在是zzzz；xxxx提醒我yyyy"，其中：
+- zzzz 是系统将发给你的当前时间
+- xxxx 是用户提供的时间信息
+- yyyy 是提醒内容
+
+输出要求：
+- 必须是有效的JSON对象
+- 包含以下字段：
+  * datetime: 如果是绝对时间，填入ISO 8601格式的日期时间字符串；否则为null
+  * datetime_delta: 如果是相对时间，填入ISO 8601持续时间格式；否则为null
+  * datetime_delta_minus: 如果时间偏移量是负数，则此项为 true，否则为 false
+  * content: 提醒内容的字符串
+  * is_notice: 布尔值，表示这是否是真正的提醒请求
+
+时间处理规则：
+- 绝对时间示例：如果 xxxx 输入了非常明确的时间点，如"2024年12月25日" → 转换为具体datetime
+- 相对时间示例：如果 xxxx 没有输入非常明确的时间点，如"10分钟后"、"2小时后"、"3天后" → 转换为datetime_delta
+- 如果用户输入了需要计算的时间，你需要计算出正确的结果，如"10分钟后的8分钟前"  → 转换为 “PT2M”
+- zzzz 是系统提供的时间，每句话肯定都有，这不是你判断相对或绝对时间的依据，需严格按照 xxx 来判断
+- datetime和datetime_delta有且仅有一个不为null
+
+时间格式要求：
+- datetime: "YYYY-MM-DDTHH:MM:SS" (ISO 8601)
+- datetime_delta: "PTxHxMxS" 格式 (如"PT1H30M"表示1小时30分钟)
+
+判断标准：
+- is_notice=true: 明确包含时间+提醒内容的请求
+- is_notice=false: 闲聊、疑问句、或不符合提醒格式的内容
+
+示例：
+用户："明天下午2点提醒我开会"
+输出：{"datetime": "2024-01-16T14:00:00", "datetime_delta": null, 
+"datetime_delta_minus": false, "content": "开会", "is_notice": true}
+
+用户："5分钟后提醒我关火"
+输出：{"datetime": null, "datetime_delta": "PT5M", "datetime_delta_minus": false, "content": "关火", "is_notice": true}
+
+用户："5分钟前提醒我关火"
+输出：{"datetime": null, "datetime_delta": "PT5M", "datetime_delta_minus": true, "content": "关火", "is_notice": true}
+
+用户："昨天提醒我关火"
+输出：{"datetime": null, "datetime_delta": "PT1D", "datetime_delta_minus": true, "content": "关火", "is_notice": true}
+
+用户："什么是提醒功能？"
+输出：{"datetime": null, "datetime_delta": null, "datetime_delta_minus": false, "content": "", "is_notice": false}
+
+请严格按照上述格式输出JSON，不要添加任何其他文字说明。现在是 DATETIME"""
+
+pt_pattern = re.compile(
+    r"^PT"
+    r"((?P<day>\d+)D)?"
+    r"((?P<hour>\d+)H)?"
+    r"((?P<minute>\d+)M)?"
+    r"((?P<second>\d+)S)?$"
+)
+
+
+def tryint(s: str | None):
+    if s:
+        if re.match(r"^\d+$", s):
+            return int(s)
+    return 0
+
+
+async def ask_ai(expression: str, now: datetime.datetime | None = None) -> tuple[datetime.datetime | None, str]:
+    if now is None:
+        now = datetime.datetime.now()
+    prompt = SYSTEM_PROMPT.replace("DATETIME", str(now))
+
+    llm = get_llm()
+    message = await llm.chat([
+        { "role": "system", "content": prompt },
+        { "role": "user", "content": expression },
+    ])
+    result = message.content
+    if result is None:
+        return (None, "")
+
+    try:
+        data = json.loads(result)
+    except json.JSONDecodeError:
+        logger.info(f"提醒功能：解析 AI 返回值时出现问题 raw={result}")
+        return (None, "")
+
+    datetime_absolute = data.get("datetime", None)
+    datetime_delta = data.get("datetime_delta", None)
+    content = data.get("content", "")
+    is_notice = data.get("is_notice", False)
+
+    if not is_notice:
+        return (None, "")
+    if datetime_absolute:
+        try:
+            return (datetime.datetime.strptime(datetime_absolute, "%Y-%m-%dT%H:%M:%S"), content)
+        except ValueError:
+            pass
+
+    if datetime_delta and (match := pt_pattern.match(datetime_delta)):
+        days = tryint(match.group("day"))
+        hours = tryint(match.group("hour"))
+        minutes = tryint(match.group("minute"))
+        seconds = tryint(match.group("second"))
+
+        dt = datetime.timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
+        return (now + dt, content)
+
+    logger.warning(f"提醒功能：解析 AI 返回值时没有找到解析方法 raw={result}")
+    return (None, "")
+