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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N2.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%e83.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 OrderedDictclass Sign:def __init__(self):self.app_id = 12345    # APP_IDself.app_key = '12345'   # APP_KEY
@propertydef time_stamp(self):t = time.time()return int(t)def random_string(self, num=16):s = string.ascii_lowercase + string.digitsr = 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 dicdef 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'] = mreturn dic

import time
import random
import string
import base64
import hashlib
import requests
from urllib.parse import urlencode
from collections import OrderedDictclass Sound:def __init__(self):self.app_id = 12345  # APP_IDself.app_key = '12345'  # APP_KEY
@propertydef time_stamp(self):t = time.time()return int(t)def random_string(self, num=16):s = string.ascii_lowercase + string.digitsr = random.sample(s, num)return ''.join(r)def add_field(self, dic):dic['app_id'] = self.app_iddic['time_stamp'] = self.time_stampdic['nonce_str'] = self.random_string()return dicdef 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'] = mreturn 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dataret = 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！')