{"repo": "asd123pwj/asdtools", "files": {"asdTools/Tools/API/XFYunAPI_TTS.py": {"f5e531b5d94d5c4e308555c1099de4dd165c047b": {"t": 1785674326.991185, "n": 5689, "h": "d6b578c5a4e18806", "c": "# 由讯飞云提供的DEMO：https://www.xfyun.cn/doc/tts/online_tts/API.html#%E8%B0%83%E7%94%A8%E7%A4%BA%E4%BE%8B\n# -*- coding:utf-8 -*-\n#\n#   author: iflytek\n#\n#  本demo测试时运行的环境为：Windows + Python3.7\n#  本demo测试成功运行时所安装的第三方库及其版本如下：\n#   cffi==1.12.3\n#   gevent==1.4.0\n#   greenlet==0.4.15\n#   pycparser==2.19\n#   six==1.12.0\n#   websocket==0.2.1\n#   websocket-client==0.56.0\n#   合成小语种需要传输小语种文本、使用小语种发音人vcn、tte=unicode以及修改文本编码方式\n#  错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）\n# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #\nimport websocket\nimport datetime\nimport hashlib\nimport base64\nimport hmac\nimport json\nfrom urllib.parse import urlencode\nimport time\nimport ssl\nfrom wsgiref.handlers import format_date_time\nfrom datetime import datetime\nfrom time import mktime\nimport _thread as thread\nimport os\nfrom asdTools.Secret.key import XFYunAPIKeyTTS, XFYunAPISecretTTS, XFYunAPPID\nimport pyaudio\nfrom functools import partial\n\n\nSTATUS_FIRST_FRAME = 0  # 第一帧的标识\nSTATUS_CONTINUE_FRAME = 1  # 中间帧标识\nSTATUS_LAST_FRAME = 2  # 最后一帧的标识\n\n\nclass Ws_Param(object):\n    # 初始化\n    def __init__(self, APPID, APIKey, APISecret, Text):\n        self.APPID = APPID\n        self.APIKey = APIKey\n        self.APISecret = APISecret\n        self.Text = Text\n\n        # 公共参数(common)\n        self.CommonArgs = {\"app_id\": self.APPID}\n        # 业务参数(business)，更多个性化参数可在官网查看\n        self.BusinessArgs = {\"aue\": \"raw\", \"auf\": \"audio/L16;rate=16000\", \"vcn\": \"xiaoyan\", \"tte\": \"utf8\"}\n        self.Data = {\"status\": 2, \"text\": str(base64.b64encode(self.Text.encode('utf-8')), \"UTF8\")}\n        #使用小语种须使用以下方式，此处的unicode指的是 utf16小端的编码方式，即\"UTF-16LE\"”\n        #self.Data = {\"status\": 2, \"text\": str(base64.b64encode(self.Text.encode('utf-16')), \"UTF8\")}\n\n    # 生成url\n    def create_url(self):\n        url = 'wss://tts-api.xfyun.cn/v2/tts'\n        # 生成RFC1123格式的时间戳\n        now = datetime.now()\n        date = format_date_time(mktime(now.timetuple()))\n\n        # 拼接字符串\n        signature_origin = \"host: \" + \"ws-api.xfyun.cn\" + \"\\n\"\n        signature_origin += \"date: \" + date + \"\\n\"\n        signature_origin += \"GET \" + \"/v2/tts \" + \"HTTP/1.1\"\n        # 进行hmac-sha256进行加密\n        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),\n                                 digestmod=hashlib.sha256).digest()\n        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')\n\n        authorization_origin = \"api_key=\\\"%s\\\", algorithm=\\\"%s\\\", headers=\\\"%s\\\", signature=\\\"%s\\\"\" % (\n            self.APIKey, \"hmac-sha256\", \"host date request-line\", signature_sha)\n        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')\n        # 将请求的鉴权参数组合为字典\n        v = {\n            \"authorization\": authorization,\n            \"date\": date,\n            \"host\": \"ws-api.xfyun.cn\"\n        }\n        # 拼接鉴权参数，生成url\n        url = url + '?' + urlencode(v)\n        # print(\"date: \",date)\n        # print(\"v: \",v)\n        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致\n        # print('websocket url :', url)\n        return url\n\ndef on_message(ws, message):\n    try:\n        message =json.loads(message)\n        code = message[\"code\"]\n        sid = message[\"sid\"]\n        audio = message[\"data\"][\"audio\"]\n        audio = base64.b64decode(audio)\n        status = message[\"data\"][\"status\"]\n        # print(\"----\\n\\n\")\n        # print(message)\n        if status == 2:\n            print(\"ws is closed\")\n            ws.close()\n        if code != 0:\n            errMsg = message[\"message\"]\n            print(\"sid:%s call error:%s code is:%s\" % (sid, errMsg, code))\n        else:\n\n            # with open('./demo.pcm', 'ab') as f:\n            #     f.write(audio)\n            play_audio(audio)\n\n    except Exception as e:\n        print(\"receive msg,but parse exception:\", e)\n\n# 收到websocket错误的处理\ndef on_error(ws, error):\n    print(\"### error:\", error)\n\n\n# 收到websocket关闭的处理\ndef on_close(ws, *args):\n    print(\"### closed ###\")\n\n\n# 收到websocket连接建立的处理\ndef on_open(ws, wsParam=None):\n    def run(*args):\n        d = {\"common\": wsParam.CommonArgs,\n             \"business\": wsParam.BusinessArgs,\n             \"data\": wsParam.Data,\n             }\n        d = json.dumps(d)\n        # print(\"------>开始发送文本数据\")\n        ws.send(d)\n        if os.path.exists('./demo.pcm'):\n            os.remove('./demo.pcm')\n\n    thread.start_new_thread(run, ())\n\ndef play_audio(audio_data):\n    p = pyaudio.PyAudio()\n    stream = p.open(format=pyaudio.paInt16,\n                    channels=1,\n                    rate=16000,\n                    output=True)\n\n    # 播放音频数据\n    stream.write(audio_data)\n\n    stream.stop_stream()\n    stream.close()\n    p.terminate()\n\ndef convert_text_to_audio(Text):\n    wsParam = Ws_Param(APPID=XFYunAPPID, APISecret=XFYunAPISecretTTS,\n                       APIKey=XFYunAPIKeyTTS,\n                       Text=Text)\n    websocket.enableTrace(False)\n    wsUrl = wsParam.create_url()\n    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)\n    ws.on_open = lambda ws: on_open(ws, wsParam)\n    ws.run_forever(sslopt={\"cert_reqs\": ssl.CERT_NONE})\n\nif __name__ == \"__main__\":\n    # 测试时候在此处正确填写相关信息即可运行\n    wsParam = Ws_Param(APPID=XFYunAPPID, APISecret=XFYunAPISecretTTS,\n                       APIKey=XFYunAPIKeyTTS,\n                       Text=\"这是一个语音合成示例\")\n    websocket.enableTrace(False)\n    wsUrl = wsParam.create_url()\n    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)\n    ws.on_open = partial(on_open, wsParam)\n    ws.run_forever(sslopt={\"cert_reqs\": ssl.CERT_NONE})\n"}}, "asdTools/Tools/API/XFYunAPI_Spark_Stream.py": {"f5e531b5d94d5c4e308555c1099de4dd165c047b": {"t": 1785674327.547385, "n": 4561, "h": "9cec30a590441e79", "c": "import _thread as thread\nimport base64\nimport datetime\nimport hashlib\nimport hmac\nimport json\nfrom urllib.parse import urlparse\nimport ssl\nfrom datetime import datetime\nfrom time import mktime\nfrom urllib.parse import urlencode\nfrom wsgiref.handlers import format_date_time\nimport websocket\nfrom asdTools.Secret.key import XFYunAPIKeySpark, XFYunAPISecretSpark, XFYunAPPID\n\nclass Ws_Param(object):\n    # 初始化\n    def __init__(self):\n        self.APPID = XFYunAPPID\n        self.APIKey = XFYunAPIKeySpark\n        self.APISecret = XFYunAPISecretSpark\n        self.gpt_url = \"ws://spark-api.xf-yun.com/v1.1/chat\"\n        self.host = urlparse(self.gpt_url).netloc\n        self.path = urlparse(self.gpt_url).path\n\n    # 生成url\n    def create_url(self):\n        # 生成RFC1123格式的时间戳\n        now = datetime.now()\n        date = format_date_time(mktime(now.timetuple()))\n\n        # 拼接字符串\n        signature_origin = \"host: \" + self.host + \"\\n\"\n        signature_origin += \"date: \" + date + \"\\n\"\n        signature_origin += \"GET \" + self.path + \" HTTP/1.1\"\n\n        # 进行hmac-sha256进行加密\n        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),\n                                 digestmod=hashlib.sha256).digest()\n\n        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')\n\n        authorization_origin = f'api_key=\"{self.APIKey}\", algorithm=\"hmac-sha256\", headers=\"host date request-line\", signature=\"{signature_sha_base64}\"'\n\n        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')\n\n        # 将请求的鉴权参数组合为字典\n        v = {\n            \"authorization\": authorization,\n            \"date\": date,\n            \"host\": self.host\n        }\n        # 拼接鉴权参数，生成url\n        url = self.gpt_url + '?' + urlencode(v)\n        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致\n        return url\n\n\n# 收到websocket错误的处理\ndef on_error(ws, error, *args):\n    print(\"### error:\", error)\n\n\n# 收到websocket关闭的处理\ndef on_close(ws):\n    pass\n    # print(\"### closed ###\")\n\n\n# 收到websocket连接建立的处理\ndef on_open(ws):\n    thread.start_new_thread(run, (ws,))\n\n\ndef run(ws, *args):\n    data = json.dumps(gen_params(\n        appid=ws.appid, \n        question=ws.question, \n        history=ws.history,\n        max_length=ws.max_length,\n        temperature=ws.temperature))\n    ws.send(data)\n\n\n# 收到websocket消息的处理\ndef on_message(ws, message):\n    # print(message)\n    data = json.loads(message)\n    code = data['header']['code']\n    if code != 0:\n        print(f'请求错误: {code}, {data}')\n        ws.close()\n    else:\n        choices = data[\"payload\"][\"choices\"]\n        status = choices[\"status\"]\n        content = choices[\"text\"][0][\"content\"]\n        # print(content, end='')\n        ws.response += content\n        if status == 2:\n            ws.history.append([ws.question, ws.response])\n            ws.result =  ws.response\n            ws.response = \"\"\n            ws.close()\n\n\ndef gen_params(appid, question, history=None, max_length=2048, temperature=0.01):\n    \"\"\"\n    通过appid和用户的提问来生成请参数\n    \"\"\"\n    data = {\n        \"header\": {\n            \"app_id\": appid,\n            \"uid\": \"1234\"\n        },\n        \"parameter\": {\n            \"chat\": {\n                \"domain\": \"general\",\n                \"random_threshold\": 0.5,\n                \"max_tokens\": max_length,\n                \"auditing\": \"default\",\n                \"temperature\": temperature,\n            }\n        },\n        \"payload\": {\n            \"message\": {\n                \"text\": []\n            }\n        }\n    }\n    for his in history:\n        data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"user\", \"content\": his[0]})\n        data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"assistant\", \"content\": his[1]})\n    data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"user\", \"content\": question})\n    return data\n\n\ndef call_spark(question, history=[], max_length=2048, temperture=0.01):\n    wsParam = Ws_Param()\n    websocket.enableTrace(False)\n    wsUrl = wsParam.create_url()\n    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)\n    ws.appid = XFYunAPPID\n    ws.history = history\n    ws.max_length = max_length\n    ws.temperture = temperture\n    ws.response = \"\"\n    ws.question = question\n    ws.run_forever(sslopt={\"cert_reqs\": ssl.CERT_NONE})\n    return ws.result, ws.history\n\n\nif __name__ == \"__main__\":\n    # 测试时候在此处正确填写相关信息即可运行\n    result, history = call_spark(\"请回答‘你好’\")\n    result, history = call_spark(\"请回答'我在'\", history)\n    print(result)"}}, "asdTools/Tools/API/XFYunAPI_Spark.py": {"f5e531b5d94d5c4e308555c1099de4dd165c047b": {"t": 1785674328.6901126, "n": 4564, "h": "a65f3a13ef3f6d5d", "c": "import _thread as thread\nimport base64\nimport datetime\nimport hashlib\nimport hmac\nimport json\nfrom urllib.parse import urlparse\nimport ssl\nfrom datetime import datetime\nfrom time import mktime\nfrom urllib.parse import urlencode\nfrom wsgiref.handlers import format_date_time\nimport websocket\nfrom asdTools.Secret.key import XFYunAPIKeySpark, XFYunAPISecretSpark, XFYunAPPID\n\nclass Ws_Param(object):\n    # 初始化\n    def __init__(self):\n        self.APPID = XFYunAPPID\n        self.APIKey = XFYunAPIKeySpark\n        self.APISecret = XFYunAPISecretSpark\n        self.gpt_url = \"ws://spark-api.xf-yun.com/v1.1/chat\"\n        self.host = urlparse(self.gpt_url).netloc\n        self.path = urlparse(self.gpt_url).path\n\n    # 生成url\n    def create_url(self):\n        # 生成RFC1123格式的时间戳\n        now = datetime.now()\n        date = format_date_time(mktime(now.timetuple()))\n\n        # 拼接字符串\n        signature_origin = \"host: \" + self.host + \"\\n\"\n        signature_origin += \"date: \" + date + \"\\n\"\n        signature_origin += \"GET \" + self.path + \" HTTP/1.1\"\n\n        # 进行hmac-sha256进行加密\n        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),\n                                 digestmod=hashlib.sha256).digest()\n\n        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')\n\n        authorization_origin = f'api_key=\"{self.APIKey}\", algorithm=\"hmac-sha256\", headers=\"host date request-line\", signature=\"{signature_sha_base64}\"'\n\n        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')\n\n        # 将请求的鉴权参数组合为字典\n        v = {\n            \"authorization\": authorization,\n            \"date\": date,\n            \"host\": self.host\n        }\n        # 拼接鉴权参数，生成url\n        url = self.gpt_url + '?' + urlencode(v)\n        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致\n        return url\n\n\n# 收到websocket错误的处理\ndef on_error(ws, error, *args):\n    print(\"### error:\", error)\n\n\n# 收到websocket关闭的处理\ndef on_close(ws):\n    pass\n    # print(\"### closed ###\")\n\n\n# 收到websocket连接建立的处理\ndef on_open(ws):\n    thread.start_new_thread(run, (ws,))\n\n\ndef run(ws, *args):\n    data = json.dumps(gen_params(\n        appid=ws.appid, \n        question=ws.question, \n        history=ws.history,\n        max_length=ws.max_length,\n        temperature=ws.temperature))\n    ws.send(data)\n\n\n# 收到websocket消息的处理\ndef on_message(ws, message):\n    # print(message)\n    data = json.loads(message)\n    code = data['header']['code']\n    if code != 0:\n        print(f'请求错误: {code}, {data}')\n        ws.close()\n    else:\n        choices = data[\"payload\"][\"choices\"]\n        status = choices[\"status\"]\n        content = choices[\"text\"][0][\"content\"]\n        # print(content, end='')\n        ws.response += content\n        if status == 2:\n            ws.history.append([ws.question, ws.response])\n            ws.result =  ws.response\n            ws.response = \"\"\n            ws.close()\n\n\ndef gen_params(appid, question, history=None, max_length=2048, temperature=0.01):\n    \"\"\"\n    通过appid和用户的提问来生成请参数\n    \"\"\"\n    data = {\n        \"header\": {\n            \"app_id\": appid,\n            \"uid\": \"1234\"\n        },\n        \"parameter\": {\n            \"chat\": {\n                \"domain\": \"general\",\n                \"random_threshold\": 0.5,\n                \"max_tokens\": max_length,\n                \"auditing\": \"default\",\n                \"temperature\": temperature,\n            }\n        },\n        \"payload\": {\n            \"message\": {\n                \"text\": []\n            }\n        }\n    }\n    for his in history:\n        data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"user\", \"content\": his[0]})\n        data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"assistant\", \"content\": his[1]})\n    data[\"payload\"][\"message\"][\"text\"].append({\"role\": \"user\", \"content\": question})\n    return data\n\n\ndef call_spark(question, history=[], max_length=2048, temperature=0.01):\n    wsParam = Ws_Param()\n    websocket.enableTrace(False)\n    wsUrl = wsParam.create_url()\n    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)\n    ws.appid = XFYunAPPID\n    ws.history = history\n    ws.max_length = max_length\n    ws.temperature = temperature\n    ws.response = \"\"\n    ws.question = question\n    ws.run_forever(sslopt={\"cert_reqs\": ssl.CERT_NONE})\n    return ws.result, ws.history\n\n\nif __name__ == \"__main__\":\n    # 测试时候在此处正确填写相关信息即可运行\n    result, history = call_spark(\"请回答‘你好’\")\n    result, history = call_spark(\"请回答'我在'\", history)\n    print(result)"}}, "asdTools/Tools/API/XFYunAPI_ASR.py": {"f5e531b5d94d5c4e308555c1099de4dd165c047b": {"t": 1785674328.9759414, "n": 4359, "h": "9469ef70e29d604c", "c": "# -*- coding: utf-8 -*-\nfrom asdTools.Secret.key import XFYunAPPID, XFYunAPISecretASR\nfrom asdTools.Classes.Base.BaseModel import BaseModel\nimport requests\nimport hashlib\nimport urllib\nimport base64\nimport hmac\nimport json\nimport time\nimport os\n\nlfasr_host = 'https://raasr.xfyun.cn/v2/api'\n# 请求的接口名\napi_upload = '/upload'\napi_get_result = '/getResult'\n\n\nclass RequestApi(object):\n    def __init__(self, appid, secret_key, upload_file_path):\n        self.appid = appid\n        self.secret_key = secret_key\n        self.upload_file_path = upload_file_path\n        self.ts = str(int(time.time()))\n        self.signa = self.get_signa()\n\n    def get_signa(self):\n        appid = self.appid\n        secret_key = self.secret_key\n        m2 = hashlib.md5()\n        m2.update((appid + self.ts).encode('utf-8'))\n        md5 = m2.hexdigest()\n        md5 = bytes(md5, encoding='utf-8')\n        # 以secret_key为key, 上面的md5为msg， 使用hashlib.sha1加密结果为signa\n        signa = hmac.new(secret_key.encode('utf-8'), md5, hashlib.sha1).digest()\n        signa = base64.b64encode(signa)\n        signa = str(signa, 'utf-8')\n        return signa\n\n\n    def upload(self):\n        print(\"上传部分：\")\n        upload_file_path = self.upload_file_path\n        file_len = os.path.getsize(upload_file_path)\n        file_name = os.path.basename(upload_file_path)\n\n        param_dict = {}\n        param_dict['appId'] = self.appid\n        param_dict['signa'] = self.signa\n        param_dict['ts'] = self.ts\n        param_dict[\"fileSize\"] = file_len\n        param_dict[\"fileName\"] = file_name\n        param_dict[\"duration\"] = \"200\"\n        # print(\"upload参数：\", param_dict)\n        data = open(upload_file_path, 'rb').read(file_len)\n\n        response = requests.post(url =lfasr_host + api_upload+\"?\"+urllib.parse.urlencode(param_dict),\n                                headers = {\"Content-type\":\"application/json\"},data=data)\n        # print(\"upload_url:\",response.request.url)\n        result = json.loads(response.text)\n        # print(\"upload resp:\", result)\n        return result\n\n\n    def get_result(self):\n        uploadresp = self.upload()\n        orderId = uploadresp['content']['orderId']\n        param_dict = {}\n        param_dict['appId'] = self.appid\n        param_dict['signa'] = self.signa\n        param_dict['ts'] = self.ts\n        param_dict['orderId'] = orderId\n        param_dict['resultType'] = \"transfer,predict\"\n        # print(\"\")\n        # print(\"查询部分：\")\n        # print(\"get result参数：\", param_dict)\n        status = 3\n        # 建议使用回调的方式查询结果，查询接口有请求频率限制\n        while status == 3:\n            response = requests.post(url=lfasr_host + api_get_result + \"?\" + urllib.parse.urlencode(param_dict),\n                                     headers={\"Content-type\": \"application/json\"})\n            # print(\"get_result_url:\",response.request.url)\n            result = json.loads(response.text)\n            # print(result)\n            status = result['content']['orderInfo']['status']\n            # print(\"status=\",status)\n            if status == 4:\n                break\n            time.sleep(5)\n        # print(\"get_result resp:\",result)\n        return result\n\ndef convert_audio_to_txt(audio_file):\n    api = RequestApi(appid=XFYunAPPID,\n                     secret_key=XFYunAPISecretASR,\n                     upload_file_path=audio_file)\n    json_recover = BaseModel()\n    response = api.get_result()\n    info = json.loads(response[\"content\"][\"orderResult\"])\n    lattice_data = json_recover.convert_val_adaptive(info[\"lattice\"])\n    text = \"\"\n    for sentence in lattice_data:\n        for word in sentence[\"json_1best\"][\"st\"][\"rt\"][0][\"ws\"]:\n            text += word[\"cw\"][0][\"w\"]\n    return text\n\n\n# 输入讯飞开放平台的appid，secret_key和待转写的文件路径\nif __name__ == '__main__':\n    api = RequestApi(appid=XFYunAPPID,\n                     secret_key=XFYunAPISecretASR,\n                     upload_file_path=r\"F:\\0_DATA\\1_DATA\\CODE\\PYTHON\\202304_RJB_C4\\other\\audio\\lfasr_涉政.wav\")\n    json_recover = BaseModel()\n    response = api.get_result()\n    info = json.loads(response[\"content\"][\"orderResult\"])\n    lattice_data = json_recover.convert_val_adaptive(info[\"lattice\"])\n    text = \"\"\n    for sentence in lattice_data:\n        for word in sentence[\"json_1best\"][\"st\"][\"rt\"][0][\"ws\"]:\n            text += word[\"cw\"][0][\"w\"]\n    # text = \"\".join([item['ws'][0]['cw'][0]['w'] for item in lattice_data])\n    0\n"}}}}