def to_mp3(string, name):
url = 'https://aiapi.jd.com/jdai/tts_vip'
skey = 'ae90bdffed42ed109865ca2f16a0b8c2'
bodyStr = string.encode('utf-8')
params = {
'Service-Type': 'synthesis',
'Request-Id': '2c4dc6e2-e1c5-11e8-a867-040973d59110',
'Sequence-Id': '-1',
'Protocol': '1',
'Net-State': '2',
'Applicator': '1',
'Property':
'{"platform":"Linux","version":"0.0.0.1","parameters":{"aue":"3","vol":"1.0","sr":"24000","sp":"0.8","tim":"0","tte":"1"}}',
'appkey': 'e408b88d69dcd1039d9a02b7d4a3500b',
'secretkey': skey,
'sign': wx_sdk.sign(skey)
}
print('接口调用中……')
response = wx_sdk.wx_post_req(url, params, bodyStr=bodyStr)
rep = response.json()
print(rep)
mp = rep['result']['audio']
code = rep['code']
remain = rep['remain']
msg = rep['msg']
print('返回状态码是：{}\n调用次数还剩：{}次\n{}'.format(code, remain, msg))
mp = base64.b64decode(mp)
print('开始写入……')
with open(r'{}.mp3'.format(name), 'wb') as mpwrite:
mpwrite.write(mp)
print('{}\n mp3文件【写入成功！】'.format(name))
def download_jd_proxies():
import wx_sdk
url = 'https://way.jd.com/jisuapi/proxy'
params = {
'num': '5',
'area': '',
'areaex': '',
'port': '8080,5000',
'portex': '3306',
'protocol': '1',
'type': '1',
'appkey': '73c7fe53401ea0f9a94871455e805a7b'
}
resp = wx_sdk.wx_post_req(url, params)
print(resp.content.decode())
content = resp.json().get('result').get('result').get('list')
proxies_list = []
for proxy in content:
ip = proxy['ip']
proxies = {
'http': 'http://%s' % ip,
'https': 'http://%s' % ip,
}
proxies_list.append(proxies)
print('proxies_list: ', proxies_list)
return proxies_list
def to_mp3(string, name):
"""
将传入的string字符串处理成mp3音频文件
@param string: 要转换的文字
@param name: 要保存的mp3的名称
@return: 无返回
"""
try:
url = 'https://aiapi.jd.com/jdai/tts_vip'
skey = 'ae90bdffed42ed109865ca2f16a0b8c2' # 这个secretkey京东的控制台可以查看到
print('输入的文字内容为：\n{}\n{}'.format(string, '*' * 50))
bodyStr = string.encode('utf-8') # 传入接口处理的文字，需要先编码成utf-8字节码
params = {
'Service-Type': 'synthesis',
'Request-Id': '2c4dc6e2-e1c5-11e8-a867-040973d59110',
'Sequence-Id': '-1',
'Protocol': '1',
'Net-State': '2',
'Applicator': '1',
'Property':
'{"platform":"Linux","version":"0.0.0.1","parameters":{"aue":"3","vol":"1.0","sr":"24000","sp":"0.9","tim":"0","tte":"1"}}',
'appkey': 'e408b88d69dcd1039d9a02b7d4a3500b',
'secretkey': skey,
'sign': wx_sdk.sign(skey) # 这是SDK自带的方法，用于生成sign值的。
}
print('接口调用中……')
response = wx_sdk.wx_post_req(url, params,
bodyStr=bodyStr) # 这个是SDK写的方式，直接调用。
rep = response.json() # 通过json格式解析一下返回体，更好的进行后续处理。
code = rep['code']
remain = rep['remain']
msg = rep['msg']
print('返回状态码是：{}\n调用次数还剩：{}次\n{}'.format(code, remain, msg))
# print(rep)
mp = rep['result']['audio'] # 因为json解析后就是一个字典，其中audio是嵌套字典，所以取值有两层。
mp = base64.b64decode(
mp
) # 查看京东接口文档，发现音频是base64编码方式，这里要用到base64库中的b64decode方法，直接传字符串即可解码。
print('MP3文件开始写入……')
# 下面先判断文件夹是否存在，不存在就创建一个，os模块中os.path.exists()判断
if not os.path.exists(r'..\mp3'): #
os.mkdir(r'..\mp3')
# 使用相对路径来处理，便于程序的移植
with open(r'..\mp3\{}.mp3'.format(name), 'wb') as mpwrite:
mpwrite.write(mp)
print('{}\n mp3文件【写入成功！】'.format(name))
except Exception as error:
print('处理文件《{}》时出错，请查看日志记录'.format(name))
# 并将错误记录写入日志文件
# if not os.path.exists(r'..\mp3\log.txt'):
# os
with open(r'..\log.txt', 'a') as w:
w.write('处理文件{}时出错，请查看日志记录----{}\n报错内容：{}\n'.format(
name, time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),
error))
print(error)
print('*' * 50)
def get_additional_data(*data):
" data: [isbn, inventory]"
isbn = data[0]
inventory = data[1]
url = 'https://way.jd.com/showapi/isbn'
params = {'isbn': isbn, 'appkey': '8b080ec6aae58e0eecf2f42572303851'}
response = wx_sdk.wx_post_req(url, params)
try:
text = json.loads(response.text)
info = text["result"]["showapi_res_body"]["data"]
return [info['isbn'], info['title'], info['price'], inventory]
except:
print(response)
return [isbn, "can't find the title", "no price", inventory]
def msgproc(request):
dirname = 'reco_img/'
if not os.path.exists(dirname):
os.makedirs(dirname)
#fo = open(dirname + request.POST[tempFiles][0]+'.png', 'wb+')
#pic_url[-15:-5]+'.png', 'wb+')
fo = open(dirname + 'imgreco.png', 'wb+')
fo.write(request.FILES['image'].read())
print(request.FILES['image'])
fo.close()
#print(request.FILES['image'])
#print(request.FILES.get('name'))
# for k, v in request.environ.items():
# print(k, v)
import wx_sdk
url = 'https://aiapi.jd.com/jdai/ocr_universal'
#img = 'C:\fakepath\微信图片_20200514220220.jpg'
img = dirname + "微信图片_20200514220235.jpg" # 上传图片的位置
params = {
'appkey': '8cef5cb0ad11b5055526b2c6b374ee7f',
'secretkey': '0a6549c60bf1affd1f85737302d3d757'
}
response = wx_sdk.wx_post_req(url, params, img=img)
# type(response.text))
# #contents=response.text['resultData']
print(response.text)
# print(contents)
contents = []
#a=response.text["result"].json()
a = (json.loads(response.text))["result"]
for x in a["resultData"]:
if x["text"]:
contents.append(x["text"])
#print(contents)
for i in contents:
print(i)
return HttpResponse("成功上传")
# 加载图片,将图片转换为Base64格式
with open('image.jpg', 'rb') as f:
img_Base64 = base64.b64encode(f.read())
img_Base64 = bytes.decode(img_Base64)
f.close()
# 参数赋值
url = 'https://aiapi.jd.com/jdai/garbageImageSearch'
bodyStr = '{ "cityId":"310000", "imgBase64":"%s"}' % img_Base64
params = {
'type': 'json',
'content': 'json string',
'appkey': '7e9ad0497bd9e353119ac73335cbb2bb',
'secretkey': 'f8be422d899c7623cf0818a696942e33',
}
true = True
false = False
response = wx_sdk.wx_post_req(url, params, bodyStr=bodyStr)
dic = eval(response.text)
# 将字典中的garbage_info取出
garbage_info = dic.get('result').get('garbage_info')
#
#for i in garbage_info:
# print(i['confidence'])
# 按垃圾概率从大到小排序
sort = sorted(garbage_info, key=lambda a: a['confidence'], reverse=True)
print(sort[0])
#print(dic)
#!/usr/bin/python
# -*- coding: utf-8 -*-
import wx_sdk
url = 'http://ai.gw.jdcloud.com/wanxianga17/testai'
params = {
'type': 'json',
'content': 'json string',
'appkey': 'aef164550413cde170bd5e07d0c22d57',
'secretkey': '77f17703b63d14d115ed26d507f5a7fa',
}
response = wx_sdk.wx_post_req(url, params)
print(response.text)