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61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
import ujson as json
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from nonebot.plugin import PluginMetadata
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from nonebot_plugin_alconna import Alconna, Args, Arparma, on_alconna
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from nonebot_plugin_saa import Text
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from nonebot_plugin_session import EventSession
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from zhenxun.configs.utils import PluginExtraData
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from zhenxun.services.log import logger
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from zhenxun.utils.http_utils import AsyncHttpx
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__plugin_meta__ = PluginMetadata(
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name="能不能好好说话",
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description="能不能好好说话，说人话",
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usage="""
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说人话
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指令：
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nbnhhsh [文本]
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能不能好好说话 [文本]
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""".strip(),
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extra=PluginExtraData(author="HibiKier", version="0.1", aliases={"nbnhhsh"}).dict(),
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)
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URL = "https://lab.magiconch.com/api/nbnhhsh/guess"
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_matcher = on_alconna(
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Alconna("nbnhhsh", Args["text", str]),
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aliases={"能不能好好说话"},
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priority=5,
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block=True,
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)
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@_matcher.handle()
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async def _(session: EventSession, arparma: Arparma, text: str):
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response = await AsyncHttpx.post(
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URL,
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data=json.dumps({"text": text}), # type: ignore
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timeout=5,
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headers={"content-type": "application/json"},
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)
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try:
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data = response.json()
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tmp = ""
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result = ""
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for x in data:
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trans = ""
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if x.get("trans"):
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trans = x["trans"][0]
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elif x.get("inputting"):
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trans = "，".join(x["inputting"])
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tmp += f'{x["name"]} -> {trans}\n'
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result += trans
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logger.info(
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f" 发送能不能好好说话: {text} -> {result}",
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arparma.header_result,
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session=session,
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)
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await Text(f"{tmp}={result}").send(reply=True)
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except (IndexError, KeyError):
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await Text("没有找到对应的翻译....").send()
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