def callback():
# get X-Line-Signature header value
signature = request.headers['X-Line-Signature']
# get request body as text
body = request.get_data(as_text=True)
app.logger.info("Request body: " + body)
# handle webhook body
try:
handler.handle(body, signature)
except InvalidSignatureError:
abort(400)rom flask import Flask, request, abort
def main():
try:
imagefile = request.get_data()
....
parse = {}
parse['id'] = imagefile['id']
base64.b64encode
parse['image'] =
img = cv2.imread(imagefile)
npimg=np.array(img)
image=npimg.copy()
image=cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
# load the neural net. Should be local to this method as its multi-threaded endpoint
nets = load_model(CFG, Weights)
do_prediction(image, nets, Lables)
except Exception as e:
print("Exception {}".format(e))
def lookup_psk(psk):
return request.get_data(config.server_ip, "/api/v1.0/psk/",
config.uid + "/" + psk, create_xauth_token())
def get_data_param():
'''
获取请求的参数
:return: get_data获取未经处理的原始数据，如果是json，则返回json，有序
'''
return request.get_data()
def value_stock():
stock = input("Type stock ticker to evaluate: ")
financials = get_financials(stock)
balance_sheet = get_balance_sheet(stock)
stock_dict = get_data(financials,balance_sheet)
return stock_dict