Delete ext_voice.py

ext_voice.py

@@ -1,168 +0,0 @@
-'''
-启用tecent翻译 可以在YAML 中填入下面的参数
-ng_voice_translate_on : True
-tencentcloud_common_region : "ap-shanghai"
-tencentcloud_common_secretid : "xxxxx"
-tencentcloud_common_secretkey : "xxxxx"
-ng_voice_tar : 'ja'
-'''
-
-from .Extension import Extension
-import urllib, requests, uuid, os, base64
-from aiohttp import request
-from binascii import b2a_base64
-from hashlib import sha1
-from hmac import new
-from random import randint
-from sys import maxsize, version_info
-from time import time
-from nonebot import get_driver
-from aiohttp import request
-from loguru import logger
-from nonebot.exception import ActionFailed
-import asyncio
-
-try:
-    from ujson import loads as loadJsonS
-except:
-    from json import loads as loadJsonS
-
-# 拓展的配置信息，用于ai理解拓展的功能 *必填* 
-ext_config:dict = {
-    "name": "voice",   # 拓展名称，用于标识拓展
-    "arguments": {
-        'sentence': 'str',  # 需要转换的文本
-    },
-    # 拓展的描述信息，用于提示ai理解拓展的功能 *必填* 尽量简短 使用英文更节省token
-    "description": "Send a voice sentence. (usage in response: /#voice&你好#/)",
-    # 参考词，用于上下文参考使用，为空则每次都会被参考(消耗token)
-    "refer_word": [],
-    # 作者信息
-    "author": "KroMiose",
-    # 版本
-    "version": "0.0.2",
-    # 拓展简介
-    "intro": "发送语音消息(支持翻译)",
-}
-
-
-# 自定义扩展
-class CustomExtension(Extension):
-    async def call(self, arg_dict: dict, ctx_data: dict) -> dict:
-        """ 当拓展被调用时执行的函数 *由拓展自行实现*
-        
-        参数:
-            arg_dict: dict, 由ai解析的参数字典 {参数名: 参数值}
-        """
-        custom_config:dict = self.get_custom_config()  # 获取yaml中的配置信息
-        
-        ng_voice_translate_on = custom_config.get('ng_voice_translate_on', False)    # 是否启用翻译
-        tencentcloud_common_region = custom_config.get('tencentcloud_common_region', "ap-shanghai") # 腾讯翻译-地区
-        tencentcloud_common_secretid = custom_config.get('tencentcloud_common_secretid',"xxxxx")    # 腾讯翻译-密钥id
-        tencentcloud_common_secretkey = custom_config.get('tencentcloud_common_secretkey', "xxxxx") # 腾讯翻译-密钥
-        ng_voice_tar = custom_config.get('g_voice_tar', 'ja')   # 翻译目标语言
-        is_base64 = custom_config.get('is_base64', False)   # 是否使用base64编码
-
-        voice_path = 'voice_cache/'
-        # 创建缓存文件夹
-        if not os.path.exists(voice_path):
-            os.mkdir(voice_path)
-
-        # 获取参数
-        raw_text = arg_dict.get('sentence', None)
-
-        # 从这里开始翻译
-
-        # 腾讯翻译-签名
-        config = get_driver().config
-        async def getReqSign(params: dict) -> str:
-            common = {
-                "Action": "TextTranslate",
-                "Region": f"{tencentcloud_common_region}",
-                "Timestamp": int(time()),
-                "Nonce": randint(1, maxsize),
-                "SecretId": f"{tencentcloud_common_secretid}",
-                "Version": "2018-03-21",
-            }
-            params.update(common)
-            sign_str = "POSTtmt.tencentcloudapi.com/?"
-            sign_str += "&".join("%s=%s" % (k, params[k]) for k in sorted(params))
-            secret_key = tencentcloud_common_secretkey
-            if version_info[0] > 2:
-                sign_str = bytes(sign_str, "utf-8")
-                secret_key = bytes(secret_key, "utf-8")
-            hashed = new(secret_key, sign_str, sha1)
-            signature = b2a_base64(hashed.digest())[:-1]
-            if version_info[0] > 2:
-                signature = signature.decode()
-            return signature
-
-
-        async def q_translate(message) -> str:
-            _source_text = message
-            _source = "auto"
-            _target = ng_voice_tar
-            try:
-                endpoint = "https://tmt.tencentcloudapi.com"
-                params = {
-                    "Source": _source,
-                    "SourceText": _source_text,
-                    "Target": _target,
-                    "ProjectId": 0,
-                }
-                params["Signature"] = await getReqSign(params)
-                # 加上超时参数
-                async with request("POST", endpoint, data=params) as resp:  
-                    data = loadJsonS(await asyncio.wait_for(resp.read(), timeout=30))["Response"]
-                    message = data["TargetText"]
-            except ActionFailed as e:
-                logger.warning(
-                    f"ActionFailed {e.info['retcode']} {e.info['msg'].lower()} {e.info['wording']}"
-                )
-            except TimeoutError as e:
-                logger.warning(
-                    f"TimeoutError {e}"
-                )
-            return message
-                
-        
-        # 到这里翻译函数结束
-
-        
-        if ng_voice_translate_on == True :
-            t_result = await q_translate(raw_text)
-        else:
-            t_result = raw_text
-        text = t_result + '~' # 加上一个字符，避免合成语音丢失结尾
-        text = urllib.parse.quote(text) # url编码
-
-        # ! moegoe.azurewebsites.net 是一个公开的语音合成api，非本人搭建，请勿滥用 (tip by KroMiose)
-        # 该api只支持日语，如果传入其它语言，会导致合成结果不可预知
-        # 如果你开启了翻译就没事了
-        url = f"https://moegoe.azurewebsites.net/api/speak?text={text}&id=0"
-
-        # todo: 如果需要使用本地的语音合成api，请取消注释下面的代码，并自行改为您的api地址，将填入合成文本的地方改为{text}
-        # url = f"http://127.0.0.1:23211/to_voice?text={text}"
-
-        # 下载语音文件
-        r = requests.get(url)
-        file_name = f"{voice_path}{uuid.uuid1()}.ogg"
-        if is_base64:
-            audio_data = base64.b64decode(r.content)
-        else:
-            audio_data = r.content
-
-        with open(file_name, "wb") as f:
-            f.write(audio_data)
-
-        local_url = f"file:///{os.path.abspath(file_name)}"
-
-        if text is not None:
-            return {
-                'voice': local_url,             # 语音url
-                'text': f"[语音消息] {raw_text}",    # 文本
-            }
-        return {}
-
-    def __init__(self, custom_config: dict):
-        super().__init__(ext_config.copy(), custom_config)