def edit(id):
cust_id = request.args.get('cust_id', None)
if cust_id == None or cust_id == '':
return render_template("login.html")
cust_id = cust_id.strip().lower()
cust = getCustomerModel().authenticate(cust_id)
if cust == None:
logging.error('\'' + cust_id + '\' is invalid customer Organization. ')
return render_template("login.html", error_msg='Error: Invalid User Organization')
book = getResponseModel().read(id, cust_id)
if request.method == 'POST':
data = request.form.to_dict(flat=True)
orgdata = getResponseModel().read(id, cust_id=cust_id)
book = getResponseModel().update(data['resp_name'], orgdata['res_category'], data['response_text'], data['tags'], orgdata['resp_tags'], modifiedflag=True, done=True, id=id, cust_id=cust_id)
print (orgdata['resp_name'])
'''
trainlist = getTrainingModel().list_by_respcategory(orgdata['resp_name'], cust_id=cust_id)
for resp in trainlist:
if (resp != None) and (len(resp) > 0) :
for resp_item in resp:
getTrainingModel().update(data['tags'], resp_item['query'], resp_item['response'], resp_item['query_category'], resp_category=resp_item['resp_category'], done=True, id=resp_item['id'], cust_id=cust_id)
'''
return redirect(url_for('.view', cust_id=cust_id, id=book['id']))
return render_template("form.html", cust_id=cust_id, action="Edit", book=book)
def extractFeedbackData_default(self, src_cust_id='default'):
logging.info ('extractFeedbackData_default : Started : ' + str(src_cust_id))
trainlog = get_model()
traindata = getTrainingModel()
next_page_token = 0
token = None
cust_list, next_page_token2 = getCustomerModel().list(done=True)
while next_page_token != None:
intent_logs, next_page_token = trainlog.list(log_type='feedback', cursor=token, cust_id=src_cust_id, done=True)
token = next_page_token
for intent_log in intent_logs:
intents_data = intent_log["json_data"]
intents_data_json = json.loads(intents_data)
selected_response_id = intents_data_json["selected_response_id"]
cust_id = intents_data_json["ticket_data"]['currentAccount']['subdomain']
id = intents_data_json["ticket_data"]['id']
for cust_id_x in cust_list:
if cust_id_x['cust_name'] == cust_id:
train_data = traindata.read(id, cust_id=cust_id)
response_data = getResponseModel().read(selected_response_id, cust_id=cust_id)
if train_data != None and response_data != None:
traindata.update(train_data["tags"], train_data["query"], train_data["response"], query_category=train_data['query_category'], resp_category=response_data['res_category'], feedback_flag=True, done=True, id=train_data['id'], cust_id=cust_id)
trainlog.delete(intent_log['id'], cust_id=src_cust_id)
print('Updating Feedback : ' , id, cust_id)
logging.info ('extractFeedbackData_default : Completed : ' + str(src_cust_id))
def removeRespDuplicate(self, cust_id):
logging.info('removeRespDuplicate : Started ' + str(cust_id))
tickets_learn = tickets_learner()
resp_model = getResponseModel()
resp_data = tickets_learn.getResponseData(cust_id=cust_id)
for resp_logs in resp_data:
for resp_logx in resp_logs:
for resp_logy in resp_logs:
if (resp_logx['id'] == resp_logy['id']
or resp_logx['modifiedflag'] == True
or resp_logx['defaultflag'] == True):
continue
respx_list = resp_logx['tags'].split()
respy_list = resp_logy['tags'].split()
count = 0
for items in respx_list:
if items in respy_list:
count += 1
#diff_cent = int((len(respx_list) - count) * 100 / len(respx_list))
if (count == len(respx_list)):
resp_model.delete(resp_logx['id'], cust_id)
logging.info('Deleting Duplicate Response id : ' +
str(resp_logx['id']) + ' Over ' +
str(resp_logy['id']))
logging.info('removeRespDuplicate : Completed ' + str(cust_id))
def delete(id):
cust_id = request.args.get('cust_id', None)
if cust_id == None or cust_id == '':
return render_template("login.html")
cust_id = cust_id.strip().lower()
cust = getCustomerModel().authenticate(cust_id)
if cust == None:
logging.error('\'' + cust_id + '\' is invalid customer Organization. ')
return render_template("login.html", error_msg='Error: Invalid User Organization')
dataitm = getResponseModel().read(id, cust_id)
'''
trainlist = getTrainingModel().list_by_respcategory(dataitm['resp_name'], cust_id=cust_id, done=True)
for resp in trainlist:
if (resp != None) and (len(resp) > 0) :
for resp_item in resp:
getTrainingModel().delete(resp_item['id'], cust_id=cust_id)
'''
getResponseModel().delete(id, cust_id)
return redirect(url_for('.list', cust_id=cust_id))
def view(id):
cust_id = request.args.get('cust_id', None)
if cust_id == None or cust_id == '':
return render_template("login.html")
cust_id = cust_id.strip().lower()
cust = getCustomerModel().authenticate(cust_id)
if cust == None:
logging.error('\'' + cust_id + '\' is invalid customer Organization. ')
return render_template("login.html")
book = getResponseModel().read(id, cust_id)
return render_template("view.html", cust_id=cust_id, book=book)
def extractFeedbackData_cust(self, cust_id):
logging.info ('extractFeedbackData_cust : Started : ' + str(cust_id))
trainlog = get_model()
traindata = getTrainingModel()
respdata = getResponseModel()
tickets_learn = tickets_learner()
ticket_struct = []
trainlog_struct = []
intent_data = tickets_learn.getTrainingLog(cust_id=cust_id, log_type = 'feedback', done=None)
len_traindata = 0
for intent_logs in intent_data:
len_traindata += len (intent_logs)
for intent_log in intent_logs:
intents_data = intent_log["json_data"]
intents_data_json = json.loads(intents_data)
selected_response_id = intents_data_json["selected_response_id"]
selected_response_prob = (intents_data_json["selected_response_prob"]/100) if 'selected_response_prob' in intents_data_json else 0
cust_id = intents_data_json["ticket_data"]['currentAccount']['subdomain']
id = intents_data_json["ticket_data"]['id']
train_data = traindata.read(id, cust_id=cust_id)
response_data = respdata.read(selected_response_id, cust_id=cust_id)
if train_data != None and response_data != None:
'''
traindata.update(train_data["tags"], train_data['query'], response_data["response_text"], query_category=train_data['query_category'],
resp_category=train_data['resp_category'], feedback_resp=response_data['res_category'],
feedback_flag=True, feedback_prob=selected_response_prob, predict_prob = train_data['predict_prob'],
done=True, id=train_data['id'], cust_id=cust_id)
'''
ticket_struct.append({'id' : train_data['id'], 'query' : train_data['query'], 'query_category' : train_data['query_category'],
'response': response_data["response_text"], 'resp_category': train_data['resp_category'],
'feedback_resp' : response_data['res_category'], 'feedback_flag' : True, 'feedback_prob' : selected_response_prob,
'predict_prob': train_data['predict_prob'] if 'predict_prob' in train_data else 0,
'done' : train_data['done'], 'tags' : train_data['tags']})
trainlog_struct.append({'id' : intent_log['id'], 'type': intent_log['type'], 'created': intent_log['created'],
'json_data': intent_log['json_data'], 'done': False})
print('Updating Feedback : ' , id, cust_id)
logging.info ('No of Training Data Processing : ' + str(len_traindata))
if (len (ticket_struct) > 1):
ticket_pd = pd.DataFrame(ticket_struct)
trainlog_pd = pd.DataFrame(trainlog_struct)
ticket_pd = ticket_pd.drop_duplicates(subset=['id'], keep='last')
trainlog_pd = trainlog_pd.drop_duplicates(subset=['id'], keep='last')
traindata.batchUpdate(ticket_pd, cust_id)
trainlog.batchUpdate(trainlog_pd, cust_id)
logging.info ('extractFeedbackData_cust : Completed : ' + str(cust_id))
def populateResponseData(self, cust_id):
logging.info('populateResponseData : Started ' + str(cust_id))
try:
tx = self.ticket_pd['response_cluster']
except KeyError as err:
logging.error("populateResponseData : " + str(err))
return
resp_model = getResponseModel()
last_id = 9999
tickets_learn = tickets_learner()
resp_data = tickets_learn.getResponseData(cust_id=cust_id,
modifiedflag=False,
defaultflag=False)
for resp_logs in resp_data:
for resp_log in resp_logs:
resp_model.delete(resp_log['id'], cust_id)
last_id = resp_log['id']
rep_index = int(last_id) + 1
for index, item in self.ticket_pd.iterrows():
if item['select_response'] == 'true' and item['select_tags'].strip(
) != '' and item['response_summary'].strip(
) != '' and item['response_tags'] != '':
resptitle = item['response_title'] if (
item['response_title'] != '') else (cust_id +
'_Response_' +
str(rep_index))
resp_model.create(resptitle,
str(cust_id + '_Response_' + str(rep_index)),
item['response_summary'],
item['select_tags'],
item['response_tags'],
done=True,
id=rep_index,
cust_id=cust_id)
rep_index += 1
self.removeRespDuplicate(cust_id)
csvfile = self.ticket_pd.to_csv()
self.storage.put_bucket(csvfile,
str("SmartReply_DataFrame_" + str(cust_id)),
filetype='csv')
logging.info('populateResponseData : Completed ' + str(cust_id))
return
def add():
cust_id = request.args.get('cust_id', None)
if cust_id == None or cust_id == '':
return render_template("login.html")
cust_id = cust_id.strip().lower()
cust = getCustomerModel().authenticate(cust_id)
if cust == None:
logging.error('\'' + cust_id + '\' is invalid customer Organization. ')
return render_template("login.html")
if request.method == 'POST':
data = request.form.to_dict(flat=True)
book = getResponseModel().create(data['resp_name'], data['resp_name'].strip().lower().replace(" ", "_"), data['response_text'], data['tags'], data['tags'], modifiedflag=True, done=True, id=None, cust_id=cust_id)
traindata = getTrainingModel().create(data['tags'], '', data['response_text'], query_category='', resp_category=data['resp_name'].strip().lower().replace(" ", "_"), done=True, id=None, cust_id=cust_id)
return redirect(url_for('.view', cust_id=cust_id, id=book['id']))
return render_template("form.html", cust_id=cust_id, action="Add", book={})
def uploadArticles():
logging.info('uploadArticles : ')
cust_id = ''
received_data = request.json
#print (received_data)
try:
cust_id = received_data['ticket_data']['currentAccount']['subdomain']
except KeyError as err:
logging.error(err)
return '200'
cust = getCustomerModel().authenticate(cust_id.strip().lower(), newflag=False)
if cust == None:
cust_id = 'default'
else:
cust_id = cust['cust_name']
logging.info('Customer Id : ' + str(cust_id))
response_struct = []
article_data = received_data['article_data']
respdata = getResponseModel()
for items in article_data:
response_text = str(items['body'])
resp_name = items['title'].split()[:5]
resp_name = ' '.join(resp_name).title().replace(" ", "_")
utils_class = UtilityClass()
response_text = utils_class.cleanhtml(response_text)
if len(response_text) > 600:
response_text = str ('Please find response for your query at following link. \n ' + items['html_url'])
response_struct.append({'id' : items['id'], 'resp_name': resp_name, 'res_category': str(cust_id + '_Article_' + str(items['id'])),
'response_text' : response_text, 'tags' : items['title'],
'modifiedflag': False, 'defaultflag' : False, 'resp_tags' : '', 'created': datetime.datetime.utcnow(),
'done': True})
if (len (response_struct) > 1):
response_pd = pd.DataFrame(response_struct)
respdata.batchUpdate(response_pd, cust_id)
return '200'
def list():
token = request.args.get('page_token', None)
cust_id = request.args.get('cust_id', None)
error_msg = request.args.get('error_msg', None)
if error_msg == None:
error_msg = ''
if cust_id == None or cust_id == '':
return render_template("login.html")
cust_id = cust_id.strip().lower()
cust = getCustomerModel().authenticate(cust_id)
if cust == None:
logging.error('\'' + cust_id + '\' is invalid customer Organization. ')
return render_template("login.html")
if token:
token = token.encode('utf-8')
books, next_page_token = getResponseModel().list(cursor=token, cust_id=cust_id, done=True, modifiedflag=None, defaultflag=None)
return render_template(
"list.html", cust_id=cust_id, error_msg=error_msg,
books=books,
next_page_token=next_page_token)
