Upload ext_voice.py

不知道/回收站/ext_voice.py

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+'''
+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)