def addToResult(self, result):
waitTime = int(total_seconds(self.waitEnd - self.waitStart))
# default value is '-', displayed if no data for waitingTime were available from EventLogs
if isinstance(result['avgWaitTime'], int):
result['avgWaitTime'] = (result['avgWaitTime'] + waitTime) / 2
else:
result['avgWaitTime'] = waitTime
# calculate 'queued' stat
if waitTime >= WaitingTimeFilter.QUEUED_THRESHOLD:
result['queued'] += 1
def render(cls, listOfObjects):
dictStats = OrderedDict()
listOfChats, listOfEvents = listOfObjects
for chat in listOfChats:
key = str(chat.id)
# init new entry in dictStats, if necessary
if key not in dictStats:
dictStats[key] = cls._empty_dict_entry()
clientParticipant = chat.getClient()
staffParticipant = chat.getStaff()
dictStats[key]['date'] = chat.start_time
dictStats[key]['id'] = chat.id
if chat.hasQuestionnaire():
dictStats[key]['questionnairesSubmitted'] = 1
# was client Participant blocked?
if not clientParticipant is None and clientParticipant.blocked is True:
dictStats[key]['blocked'] = 1
# staff member and client assigned to this Conversation?
if not staffParticipant is None and not clientParticipant is None:
dictStats[key]['assigned'] = 1
# did both Participants chat?
if chat.hasInteraction():
dictStats[key]['interaction'] = 1
if not clientParticipant is None:
dictStats[key]['clientIP'] = clientParticipant.ip_hash
dictStats[key]['clientName'] = chat.client_name()
dictStats[key]['staffName'] = chat.staff_name()
dictStats[key]['subject'] = chat.subject
# chatting time
duration = chat.duration()
if isinstance(duration, datetime.timedelta):
dictStats[key]['avgChatTime'] = int(total_seconds(duration))
# process EventLogs
EventLogProcessor(listOfEvents, [WaitingTimeFlatFilter()]).run(dictStats)
return dictStats
def extract_value(cls, obj, context=None):
try:
duration_minutes = total_seconds(obj.duration()) / 60.0
if duration_minutes >= 0.0 and duration_minutes < 5.0:
return _('0-5')
elif duration_minutes >= 5.0 and duration_minutes < 10.0:
return _('5-10')
elif duration_minutes >= 10.0 and duration_minutes < 15.0:
return _('10-15')
elif duration_minutes >= 15.0 and duration_minutes < 25.0:
return _('15-25')
elif duration_minutes >= 25.0 and duration_minutes < 45.0:
return _('25-45')
elif duration_minutes >= 45.0:
return _('45+')
else:
return Report.OTHER_COLUMN
except:
return Report.OTHER_COLUMN
def render(cls, listOfObjects):
dictStats = OrderedDict()
listOfChats, listOfEvents = listOfObjects
for chat in listOfChats:
# determine key under which to place `chat` in `dictStats`
key = chat.hourAgg
# init new entry in dictStats, if necessary
if key not in dictStats:
dictStats[key] = cls._empty_dict_entry()
try:
dictStats[key]['date'], dictStats[key]['hour'] = key.split(" ")
dictStats[key]['date'] = formats.date_format(datetime.datetime.strptime(dictStats[key]['date'], '%Y-%m-%d').date(), 'SHORT_DATE_FORMAT')
dictStats[key]['hour'] = int(dictStats[key]['hour'])
except:
pass
clientParticipant = chat.getClient()
staffParticipant = chat.getStaff()
if not clientParticipant is None:
# track unique IPs, unless there was no Participant in the Conversation
if clientParticipant.ip_hash not in dictStats[key]['ipTable']:
dictStats[key]['ipTable'][clientParticipant.ip_hash] = 0
# was client Participant blocked?
if clientParticipant.blocked is True:
dictStats[key]['blocked'] += 1
if chat.hasQuestionnaire():
dictStats[key]['questionnairesSubmitted'] += 1
# staff member and client assigned to this Conversation?
if not staffParticipant is None and not clientParticipant is None:
dictStats[key]['assigned'] += 1
# did both Participants chat?
if chat.hasInteraction():
dictStats[key]['interaction'] += 1
# chatting time
duration = chat.duration()
if isinstance(duration, datetime.timedelta):
dictStats[key]['avgChatTime'] += int(total_seconds(duration))
dictStats[key]['numChatTime'] += 1
# count this Chat object
dictStats[key]['totalCount'] += 1
# post-processing
for key in dictStats.iterkeys():
# count unique IPs
dictStats[key]['uniqueIPs'] = len(dictStats[key]['ipTable'].keys())
del dictStats[key]['ipTable']
# calc avg chat time
try:
dictStats[key]['avgChatTime'] = dictStats[key]['avgChatTime'] / dictStats[key]['numChatTime']
except ZeroDivisionError:
dictStats[key]['avgChatTime'] = "-"
del dictStats[key]['numChatTime']
# process EventLogs
EventLogProcessor(listOfEvents, [WaitingTimeFilter()]).run(dictStats)
return dictStats
