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239 lines
7.3 KiB
Markdown
239 lines
7.3 KiB
Markdown
---
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sidebar_position: 3
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description: 响应规则的使用
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---
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# Alconna 响应规则
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以下为一个简单的使用示例:
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```python
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from nonebot_plugin_alconna.adapters import At
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from nonebot.adapters.onebot.v12 import Message
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from nonebot_plugin_alconna.adapters.onebot12 import Image
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from nonebot_plugin_alconna import AlconnaMatches, on_alconna
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from nonebot.adapters.onebot.v12 import MessageSegment as Ob12MS
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from arclet.alconna import Args, Option, Alconna, Arparma, MultiVar, Subcommand
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alc = Alconna(
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["/", "!"],
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"role-group",
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Subcommand(
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"add",
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Args["name", str],
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Option("member", Args["target", MultiVar(At)]),
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),
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Option("list"),
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)
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rg = on_alconna(alc, auto_send_output=True)
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@rg.handle()
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async def _(result: Arparma = AlconnaMatches()):
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if result.find("list"):
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img = await gen_role_group_list_image()
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await rg.finish(Message([Image(img)]))
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if result.find("add"):
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group = await create_role_group(result["add.name"])
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if result.find("add.member"):
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ats: tuple[Ob12MS, ...] = result["add.member.target"]
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group.extend(member.data["user_id"] for member in ats)
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await rg.finish("添加成功")
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```
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## 响应器使用
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`on_alconna` 的所有参数如下:
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- `command: Alconna | str`: Alconna 命令
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- `skip_for_unmatch: bool = True`: 是否在命令不匹配时跳过该响应
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- `auto_send_output: bool = False`: 是否自动发送输出信息并跳过响应
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- `output_converter: TConvert | None = None`: 输出信息字符串转换为消息序列方法
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- `aliases: set[str | tuple[str, ...]] | None = None`: 命令别名, 作用类似于 `on_command` 中的 aliases
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- `comp_config: CompConfig | None = None`: 补全会话配置, 不传入则不启用补全会话
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- `use_origin: bool = False`: 是否使用未经 to_me 等处理过的消息
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`on_alconna` 返回的是 `Matcher` 的子类 `AlconnaMatcher`,其拓展了四类方法:
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- `.assign(path, value, or_not)`: 用于对包含多个选项/子命令的命令的分派处理
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- `.got_path(path, prompt)`: 在 `got` 方法的基础上,会以 path 对应的参数为准,读取传入 message 的最后一个消息段并验证转换
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- `.set_path_arg(key, value)`, `.get_path_arg(key)`: 类似 `set_arg` 和 `got_arg`,为 `got_path` 的特化版本
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用例:
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```python
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from arclet.alconna import Alconna, Option, Args
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from nonebot_plugin_alconna import on_alconna, AlconnaMatch, Match, AlconnaMatcher, AlconnaArg
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login = on_alconna(Alconna(["/"], "login", Args["password?", str], Option("-r|--recall")))
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@login.assign("recall")
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async def login_exit():
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await login.finish("已退出")
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@login.assign("password")
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async def login_handle(matcher: AlconnaMatcher, pw: Match[str] = AlconnaMatch("password")):
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matcher.set_path_arg("password", pw.result)
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@login.got_path("password", prompt="请输入密码")
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async def login_got(password: str = AlconnaArg("password")):
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assert password
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await login.send("登录成功")
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```
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## 依赖注入
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`Alconna` 的解析结果会放入 `Arparma` 类中,或用户指定的 `Duplication` 类。
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`nonebot_plugin_alconna` 提供了一系列的依赖注入函数,他们包括:
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- `AlconnaResult`: `CommandResult` 类型的依赖注入函数
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- `AlconnaMatches`: `Arparma` 类型的依赖注入函数
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- `AlconnaDuplication`: `Duplication` 类型的依赖注入函数
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- `AlconnaMatch`: `Match` 类型的依赖注入函数
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- `AlconnaQuery`: `Query` 类型的依赖注入函数
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- `AlconnaExecResult`: 提供挂载在命令上的 callback 的返回结果 (`Dict[str, Any]`) 的依赖注入函数
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可以看到,本插件提供了几类额外的模型:
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- `CommandResult`: 解析结果,包括了源命令 `source: Alconna` ,解析结果 `result: Arparma`,以及可能的输出信息 `output: str | None` 字段
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- `Match`: 匹配项,表示参数是否存在于 `all_matched_args` 内,可用 `Match.available` 判断是否匹配,`Match.result` 获取匹配的值
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- `Query`: 查询项,表示参数是否可由 `Arparma.query` 查询并获得结果,可用 `Query.available` 判断是否查询成功,`Query.result` 获取查询结果
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同时,基于 [`Annotated` 支持](https://github.com/nonebot/nonebot2/pull/1832), 添加了两类注解:
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- `AlcMatches`:同 `AlconnaMatches`
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- `AlcResult`:同 `AlconnaResult`
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- `AlcExecResult`: 同 `AlconnaExecResult`
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实例:
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```python
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...
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from nonebot import require
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require("nonebot_plugin_alconna")
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...
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from nonebot_plugin_alconna import (
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on_alconna,
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Match,
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Query,
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AlconnaMatch,
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AlconnaQuery,
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AlconnaMatches,
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AlcResult
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)
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from arclet.alconna import Alconna, Args, Option, Arparma
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test = on_alconna(
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Alconna(
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"test",
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Option("foo", Args["bar", int]),
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Option("baz", Args["qux", bool, False])
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),
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auto_send_output=True
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)
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@test.handle()
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async def handle_test1(result: AlcResult):
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await test.send(f"matched: {result.matched}")
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await test.send(f"maybe output: {result.output}")
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@test.handle()
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async def handle_test2(result: Arparma = AlconnaMatches()):
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await test.send(f"head result: {result.header_result}")
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await test.send(f"args: {result.all_matched_args}")
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@test.handle()
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async def handle_test3(bar: Match[int] = AlconnaMatch("bar")):
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if bar.available:
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await test.send(f"foo={bar.result}")
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@test.handle()
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async def handle_test4(qux: Query[bool] = AlconnaQuery("baz.qux", False)):
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if qux.available:
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await test.send(f"baz.qux={qux.result}")
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```
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## 消息段标注
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示例中使用了消息段标注,其中 `At` 属于通用标注,而 `Image` 属于 `onebot12` 适配器下的标注。
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消息段标注会匹配特定的 `MessageSegment`:
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```python
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...
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ats: tuple[Ob12MS, ...] = result["add.member.target"]
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group.extend(member.data["user_id"] for member in ats)
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```
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:::tip
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通用标注与适配器标注的区别在于,通用标注会匹配多个适配器中相似类型的消息段。
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通用标注返回的是 `nonebot_plugin_alconna.adapters` 中定义的 `Segment` 模型:
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```python
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class Segment:
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"""基类标注"""
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origin: MessageSegment
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class At(Segment):
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"""At对象, 表示一类提醒某用户的元素"""
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target: str
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class Emoji(Segment):
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"""Emoji对象, 表示一类表情元素"""
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id: str
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name: Optional[str]
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class Media(Segment):
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url: Optional[str]
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id: Optional[str]
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class Image(Media):
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"""Image对象, 表示一类图片元素"""
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class Audio(Media):
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"""Audio对象, 表示一类音频元素"""
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class Voice(Media):
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"""Voice对象, 表示一类语音元素"""
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class Video(Media):
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"""Video对象, 表示一类视频元素"""
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class File(Segment):
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"""File对象, 表示一类文件元素"""
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id: str
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name: Optional[str] = field(default=None)
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```
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:::
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## 特殊装饰器
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`nonebot_plugin_alconna` 提供 了一个 `funcommand` 装饰器, 其用于将一个接受任意参数,
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返回 `str` 或 `Message` 或 `MessageSegment` 的函数转换为命令响应器。
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```python
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from nonebot_plugin_alconna import funcommand
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@funcommand()
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async def echo(msg: str):
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return msg
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```
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其等同于
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```python
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from arclet.alconna import Alconna, Args
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from nonebot_plugin_alconna import on_alconna, AlconnaMatch, Match
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echo = on_alconna(Alconna("echo", Args["msg", str]))
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@echo.handle()
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async def echo_exit(msg: Match[str] = AlconnaMatch("msg")):
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await echo.finish(msg.result)
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```
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