def get_iss_info_by_input(req):
"""
GET current iss information: Location, Passing by given coordinates, or People aboard
from command-line input
"""
user_request = utils.process_request(req)
print(user_request)
def upvote(): try: df = utils.read_data(FILE) if len(request.form["search_type"]) > 0 and isinstance(request.form["search_type"], str) == True and str(request.form["search_type"]) in ["label_choice", "name_choice", "research_choice"]: search_type = request.form["search_type"] if search_type == "label_choice": send_msg = request.form["wine_name"] answer = str(send_msg) elif search_type == "name_choice": answer = df.loc[df['name'] == str(request.form["wine_name"])] answer = answer[['name', 'image', 'pays','region', 'appelation', 'domaine', 'millesime', 'couleur','description']].head(10) elif search_type == "research_choice": couleur = str(request.form["couleur"]) pays = str(request.form["pays"]) want = str(request.form["want"]) want = utils.remove_stop_words(want, STOP) want = str(utils.process_request(want)) answer = utils.generate_research_choice(df, couleur, pays) if len(want) > 0: answer = utils.treat_input(answer,want,'clean_text') else: pass else: pass return utils.generate_answer(answer) else: return False except: return False
def post(self, request, format=None):
try:
utils.validate_request_data(request)
except ValueError as e:
response_data = dict()
# standard format to be followed for custom exceptions
response_data[
'message'] = "Exception : " + e.__class__.__name__ + " :- " + e.__str__(
)
utils.LOGGER.error("Validation during validation: " +
response_data['message'])
return Response(response_data, status=status.HTTP_400_BAD_REQUEST)
finally:
pass
# process the request as per action value passed in body
return utils.process_request(request)
def predict_api():
try:
model = pd.read_pickle(os.path.join(fix_path(), "models/model.pkl"))
logging.info("RFregressor version: ",
pkg_resources.get_distribution("scikit-learn"))
# observation = observation.encode() # this code is for scenario where data is encoded as str in POST
# observation = pickle.loads(base64.b64decode(observation))
# request = open('request.json', 'rb') # todo - comment out if not testing locally
observation = request.json
observation = process_request(observation=observation)
pred = model.get_prediction(observation)
return jsonify({"bitcoin prediction": str(pred)})
except Exception as ex:
logging.error("No model was found, so run /train")
def decrypt():
return process_request(request, "decrypt")
def initialise():
return process_request(request, "initialise")
try:
if jdata['channel'] == 'twilio':
print("Channel = Twilio")
result = twilio_password_reset(data)
print("sleeping for 20 seconds")
time.sleep(20)
print("sending email")
send_email(result)
asid = jdata['asid']
csid = jdata['csid']
url = jdata['redirect_url_success']
print("routing call")
twilio_route_call(asid, csid, url)
else:
result = process_request(data)
print(result)
scData = dict(cData)
scData['hangUp'] = True
bot_data = {
'text':
'Your password has been reset and an email will be sent to your manager containingg the new password.',
'channelData': {
'hangUp': True
},
'address': jdata['address']
}
send_to_queue(bot_data, 'send-to-bot')
send_email(result)