✨ 新增查分段指令 (#121)

* 忽略 .idea 文件夹

* 新增查分段指令

* 修复未知段位可能导致程序无限死循环的异常

* 我 keys 呢

* 🎨 整理 import

* 🎨 规范引号

* 🐛 记得await

* ⚡️ 一些优化

* 🐛 多个逗号

* 🚨 修正typing hint

* 🐛 返回值是 tuple 哦

* 🐛 少个逗号

* 🐛 你得删前缀啊

* 🐛 怎么能用 is 呢

* 🐛 记得await

* 试图匹配查询格式

* 💬 小改返回消息样式

* 🎨 修改变量名

* 🐛 修复查询大写问题

* 🐛 使用 get_db 获取数据库对象

---------

Co-authored-by: scdhh <wallfjjd@gmail.com>

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/__init__.py

@@ -8,7 +8,7 @@ from .processor import Processor
 
 IOBind = on_regex(pattern=r'^io绑定|^iobind', flags=I, permission=GROUP)
 IOStats = on_regex(pattern=r'^io查|^iostats', flags=I, permission=GROUP)
-
+IORank = on_regex(pattern=r'^io段位|^iorank', flags=I, permission=GROUP)
 
 @IOBind.handle()
 async def _(event: MessageEvent, matcher: Matcher):
@@ -30,3 +30,11 @@ async def _(event: MessageEvent, matcher: Matcher):
             qq_number=event.sender.user_id
         )
     )
+
+@IORank.handle()
+async def _(event: MessageEvent, matcher: Matcher):
+    await matcher.finish(
+        await Processor.handle_rank(
+            message=event.raw_message
+        )
+    )

nonebot_plugin_tetris_stats/game_data_processor/io_data_processor/processor.py

@@ -1,3 +1,4 @@
+import math
 from asyncio import gather
 from typing import Any
 
@@ -6,7 +7,8 @@ from nonebot.log import logger
 from ...utils.database import DataBase
 from ...utils.message_analyzer import (
     handle_bind_message,
-    handle_stats_query_message
+    handle_rank_message,
+    handle_stats_query_message,
 )
 from .request import Request
 
@@ -43,6 +45,82 @@ class Processor:
         logger.error('预期外行为, 请上报GitHub')
         return '出现预期外行为，请查看后台信息'
 
+    @classmethod
+    async def handle_rank(cls, message: str):
+        query_rank = await handle_rank_message(message)
+        rank_info = await DataBase.query_rank_info_today(rank=query_rank.lower())
+
+        if rank_info is None:
+            ranks_percentiles = {
+                'x': 1,
+                'u': 5,
+                'ss': 11,
+                's+': 17,
+                's': 23,
+                's-': 30,
+                'a+': 38,
+                'a': 46,
+                'a-': 54,
+                'b+': 62,
+                'b': 70,
+                'b-': 78,
+                'c+': 84,
+                'c': 90,
+                'c-': 95,
+                'd+': 97.5,
+                'd': 100,
+            }
+
+            if query_rank.lower() not in (i for i in ranks_percentiles.keys()):
+                return '未知段位'
+
+            result = await Request.request('https://ch.tetr.io/api/users/lists/league/all')
+            users: list = result[2]['data']['users']
+
+            def avg(rank_users: list, column: str, playercount: int | None = None) -> float:
+                return sum(i['league'][column] for i in rank_users) / (playercount or len(rank_users))
+
+            for rank, percentile in ranks_percentiles.items():
+                offset = math.floor((percentile / 100) * len(users)) - 1
+                tr = users[offset]['league']['rating']
+
+                rank_users = list(filter(lambda x: x['league']['rank'] == rank, users))
+                playercount = len(rank_users)
+
+                avg_apm = avg(rank_users, 'apm', playercount)
+                avg_pps = avg(rank_users, 'pps', playercount)
+                avg_vs = avg(rank_users, 'vs', playercount)
+
+                await DataBase.write_rank_info_today(
+                    rank=rank,
+                    trline=tr,
+                    playercount=playercount,
+                    avgapm=avg_apm,
+                    avgpps=avg_pps,
+                    avgvs=avg_vs
+                    )
+
+            return await Processor.handle_rank(message=message)
+        else:
+            avg_apm = round(rank_info[3], 2)
+            avg_pps = round(rank_info[4], 2)
+            avg_vs = round(rank_info[5], 2)
+            avg_lpm = round((avg_pps * 24), 2)
+            avg_apl = round((avg_apm / avg_lpm), 2)
+            avg_adpm = round((avg_vs * 0.6), 2)
+            avg_adpl = round((avg_adpm / avg_lpm), 2)
+
+            message = f'{query_rank.upper()} 段, 分数线 {round(rank_info[1], 2)} TR, {rank_info[2]} 名玩家'
+            message += f'\n对比昨日趋势: {rank_info[0]}'
+            message += '\n'
+            message += f"\nL'PM: {avg_lpm} ( {avg_pps} pps )"
+            message += f'\nAPM: {avg_apm} ( x{avg_apl} )'
+            message += f'\nADPM: {avg_adpm} ( x{avg_adpl} ) ( {avg_vs}vs )'
+            message += '\n'
+            message += f'\n数据更新时间: {rank_info[6]}'
+
+        return message
+
     @classmethod
     async def handle_query(cls, message: str, qq_number: int | None):
         '''处理查询消息'''
@@ -69,9 +147,9 @@ class Processor:
 
     @classmethod
     async def get_user_data(
-        cls,
-        user_name: str | None = None,
-        user_id: str | None = None
+            cls,
+            user_name: str | None = None,
+            user_id: str | None = None
     ) -> tuple[bool, bool, dict[str, Any]]:
         '''获取用户数据'''
         if user_name is not None and user_id is None:
@@ -84,9 +162,9 @@ class Processor:
 
     @classmethod
     async def get_solo_data(
-        cls,
-        user_name: str | None = None,
-        user_id: str | None = None
+            cls,
+            user_name: str | None = None,
+            user_id: str | None = None
     ) -> tuple[bool, bool, dict[str, Any]]:
         '''获取Solo数据'''
         if user_name is not None and user_id is None:
@@ -165,9 +243,9 @@ class Processor:
 
     @classmethod
     async def generate_message(
-        cls,
-        user_name: str | None = None,
-        user_id: str | None = None
+            cls,
+            user_name: str | None = None,
+            user_id: str | None = None
     ) -> str:
         '''生成消息'''
         user_data, solo_data = await gather(