腾讯ai开放平台使用(代码片段)

https://ai.qq.com/

用于计算签名的参数在不同接口之间会有差异，但算法过程固定如下4个步骤。

1.将<key, value>请求参数对按key进行字典升序排序，得到有序的参数对列表N

2.将列表N中的参数对按URL键值对的格式拼接成字符串，得到字符串T（如：key1=value1&key2=value2），URL键值拼接过程value部分需要URL编码，URL编码算法用大写字母，例如%E8，而不是小写%e8

3.将应用密钥以app_key为键名，组成URL键值拼接到字符串T末尾，得到字符串S（如：key1=value1&key2=value2&app_key=密钥)

4.对字符串S进行MD5运算，将得到的MD5值所有字符转换成大写，得到接口请求签名

1.不同接口要求的参数对不一样，计算签名使用的参数对也不一样

2.参数名区分大小写，参数值为空不参与签名

3.URL键值拼接过程value部分需要URL编码

4.签名有效期5分钟，需要请求接口时刻实时计算签名信息

import time
import random
import string
import base64
import hashlib
import requests
from urllib.parse import urlencode
from collections import OrderedDict


class Sign:
    def __init__(self):
        self.app_id = 12345    # APP_ID
        self.app_key = ‘12345‘   # APP_KEY

    @property
    def time_stamp(self):
        t = time.time()
        return int(t)

    def random_string(self, num=16):
        s = string.ascii_lowercase + string.digits
        r = random.sample(s, num)
        return ‘‘.join(r)

    def add_field(self, dic):
        dic[‘app_id‘] = self.app_id
        # 生成时间戳
        dic[‘time_stamp‘] = self.time_stamp
        # 生成随机字符串
        dic[‘nonce_str‘] = self.random_string()
        return dic

    def add_sign(self, dic):
        d = OrderedDict()
        # 将字典进行排序
        for k in sorted(dic):
            d[k] = dic[k]
        # 将排序后的字典进行urlencode编码，得到字符串
        s = urlencode(d, encoding=‘utf-8‘)
        # 把app_key拼接到字符串
        s += ‘&app_key=‘.format(self.app_key)
        md = hashlib.md5()
        md.update(s.encode(‘utf-8‘))
        # 将字符串进行md5运算得到签名
        m = md.hexdigest().upper()
        dic[‘sign‘] = m
        return dic

import time
import random
import string
import base64
import hashlib
import requests
from urllib.parse import urlencode
from collections import OrderedDict


class Sound:
    def __init__(self):
        self.app_id = 12345  # APP_ID
        self.app_key = ‘12345‘  # APP_KEY

    @property
    def time_stamp(self):
        t = time.time()
        return int(t)

    def random_string(self, num=16):
        s = string.ascii_lowercase + string.digits
        r = random.sample(s, num)
        return ‘‘.join(r)

    def add_field(self, dic):
        dic[‘app_id‘] = self.app_id
        dic[‘time_stamp‘] = self.time_stamp
        dic[‘nonce_str‘] = self.random_string()
        return dic

    def add_sign(self, dic):
        d = OrderedDict()
        for k in sorted(dic):
            d[k] = dic[k]
        s = urlencode(d, encoding=‘utf-8‘)
        s += ‘&app_key=‘.format(self.app_key)
        md = hashlib.md5()
        md.update(s.encode(‘utf-8‘))
        m = md.hexdigest().upper()
        dic[‘sign‘] = m
        return dic

    # 合成语音
    def speech_synthesis(self, file_name=None, speaker=6, format=3, volume=0, speed=100, text=None, aht=0, apc=58):
        if text == None:
            text = ‘请输入想要转换的文字！‘
        if file_name == None:
            file_name = ‘test.mp3‘
        dic = 
            ‘aht‘: aht,
            ‘apc‘: apc,
            ‘text‘: text,
            ‘speed‘: speed,
            ‘format‘: format,
            ‘volume‘: volume,
            ‘speaker‘: speaker,
        
        # 生成字典
        dic = self.add_field(dic)
        # 获得签名后的字典
        dic = self.add_sign(dic)
        # 发post请求，把获得签名后的字典作为data
        ret = requests.post(url=‘https://api.ai.qq.com/fcgi-bin/aai/aai_tts‘, data=dic).json()
        # 将请求结果中的音频数据进行base64解码，然后写入文件
        with open(file_name, ‘wb‘) as f:
            audio = base64.b64decode(ret[‘data‘][‘speech‘])
            f.write(audio)


if __name__ == ‘__main__‘:
    s = Sound()
    s.speech_synthesis(file_name=‘001.mp3‘, text=‘我爱你，中国！‘)