def calculate_act_acd(total_calls, total_duration):
"""Calculate aggregation on some metrics:
- ACH: Average Call per Hour
- ACD: Average Call Duration
>>> calculate_act_acd(5, 100)
{'ACD': '00:20', 'ACH': 0.0}
"""
ACH = math.floor(total_calls / 24)
if total_calls == 0:
ACD = 0
else:
ACD = int_convert_to_minute(math.floor(total_duration / total_calls))
return {'ACH': ACH, 'ACD': ACD}
def calculate_act_acd(total_calls, total_duration):
"""Calculate aggregation on some metrics:
- ACH: Average Call per Hour
- ACD: Average Call Duration
>>> calculate_act_acd(5, 100)
{'ACD': '00:20', 'ACH': 0.0}
"""
ACH = math.floor(total_calls / 24)
if total_calls == 0:
ACD = 0
else:
ACD = int_convert_to_minute(math.floor(total_duration / total_calls))
return {'ACH': ACH, 'ACD': ACD}
def cdr_dashboard(request):
"""CDR dashboard on the last 24 hours
**Attributes**:
* ``template`` - cdr/dashboard.html
* ``form`` - SwitchForm
**Logic Description**:
Display calls aggregated information for the last 24hours, several report will be
created and displayed such as hourly call report and hangup cause/country analytics.
"""
logging.debug('CDR dashboard view start')
form = SwitchForm(request.POST or None)
if form.is_valid():
logging.debug('CDR dashboard view with search option')
switch_id = int(getvar(request, 'switch_id'))
else:
switch_id = 0
# Get list of calls/duration for each of the last 24 hours
(calls_hour_aggr, total_calls, total_duration, total_billsec, total_buy_cost, total_sell_cost) = custom_sql_matv_voip_cdr_aggr_last24hours(request.user, switch_id)
# Build chart data for last 24h calls
(xdata, ydata, ydata2, ydata3, ydata4, ydata5) = ([], [], [], [], [], [])
for i in calls_hour_aggr:
start_time = (time.mktime(calls_hour_aggr[i]['calltime'].timetuple()) * 1000)
xdata.append(start_time)
ydata.append(int(calls_hour_aggr[i]['nbcalls']))
ydata2.append(int(calls_hour_aggr[i]['duration']/60))
ydata3.append(int(calls_hour_aggr[i]['billsec']/60))
ydata4.append(int(calls_hour_aggr[i]['buy_cost']))
ydata5.append(int(calls_hour_aggr[i]['sell_cost']))
tooltip_date = "%d %b %y %H:%M %p"
extra_serie1 = {"tooltip": {"y_start": "", "y_end": " calls"}, "date_format": tooltip_date}
extra_serie2 = {"tooltip": {"y_start": "", "y_end": " min"}, "date_format": tooltip_date}
extra_serie3 = {"tooltip": {"y_start": "", "y_end": " min"}, "date_format": tooltip_date}
extra_serie4 = {"tooltip": {"y_start": "", "y_end": ""}, "date_format": tooltip_date}
extra_serie5 = {"tooltip": {"y_start": "", "y_end": ""}, "date_format": tooltip_date}
kwargs1 = {}
kwargs1['bar'] = True
final_chartdata = {
'x': xdata,
'name1': 'Calls', 'y1': ydata, 'extra1': extra_serie1, 'kwargs1': kwargs1,
'name2': 'Duration', 'y2': ydata2, 'extra2': extra_serie2,
'name3': 'Billsec', 'y3': ydata3, 'extra3': extra_serie3,
'name4': 'Buy cost', 'y4': ydata4, 'extra4': extra_serie4,
'name5': 'Sell cost', 'y5': ydata5, 'extra5': extra_serie5,
}
final_charttype = "linePlusBarChart"
# Get top 5 of country calls for last 24 hours
country_data = custom_sql_aggr_top_country_last24hours(request.user, switch_id, limit=5)
# Build pie chart data for last 24h calls per country
(xdata, ydata) = ([], [])
for country in country_data:
xdata.append(get_country_name(country["country_id"]))
ydata.append(percentage(country["nbcalls"], total_calls))
color_list = ['#FFC36C', '#FFFF9D', '#BEEB9F', '#79BD8F', '#FFB391']
extra_serie = {"tooltip": {"y_start": "", "y_end": " %"}, "color_list": color_list}
country_analytic_chartdata = {'x': xdata, 'y1': ydata, 'extra1': extra_serie}
country_analytic_charttype = "pieChart"
country_extra = {
'x_is_date': False,
'x_axis_format': '',
'tag_script_js': True,
'jquery_on_ready': True,
}
# Get top 10 of hangup cause calls for last 24 hours
hangup_cause_data = custom_sql_aggr_top_hangup_last24hours(request.user, switch_id)
# hangup analytic pie chart data
(xdata, ydata) = ([], [])
for hangup_cause in hangup_cause_data:
xdata.append(str(get_hangupcause_name(hangup_cause["hangup_cause_id"])))
ydata.append(str(percentage(hangup_cause["nbcalls"], total_calls)))
color_list = ['#2A343F', '#7E8282', '#EA9664', '#30998F', '#449935']
extra_serie = {"tooltip": {"y_start": "", "y_end": " %"}, "color_list": color_list}
hangup_analytic_chartdata = {'x': xdata, 'y1': ydata, 'extra1': extra_serie}
hangup_analytic_charttype = "pieChart"
hangup_extra = country_extra
logging.debug("Result calls_hour_aggr %d" % len(calls_hour_aggr))
logging.debug("Result hangup_cause_data %d" % len(hangup_cause_data))
logging.debug("Result country_data %d" % len(country_data))
# Calculate the Average Time of Call
metric_aggr = calculate_act_acd(total_calls, total_duration)
final_extra = {
'x_is_date': True,
'x_axis_format': '%H:%M',
# 'x_axis_format': '%d %b %Y',
'tag_script_js': True,
'jquery_on_ready': True,
'focus_enable': True,
}
logging.debug('CDR dashboard view end')
variables = {
'total_calls': total_calls,
'total_duration': int_convert_to_minute(total_duration),
'total_buy_cost': total_buy_cost,
'total_sell_cost': total_sell_cost,
'metric_aggr': metric_aggr,
'country_data': country_data,
'hangup_analytic': hangup_cause_data,
'form': form,
'final_chartdata': final_chartdata,
'final_charttype': final_charttype,
'final_chartcontainer': 'final_container',
'final_extra': final_extra,
'hangup_analytic_charttype': hangup_analytic_charttype,
'hangup_analytic_chartdata': hangup_analytic_chartdata,
'hangup_chartcontainer': 'hangup_piechart_container',
'hangup_extra': hangup_extra,
'country_analytic_charttype': country_analytic_charttype,
'country_analytic_chartdata': country_analytic_chartdata,
'country_chartcontainer': 'country_piechart_container',
'country_extra': country_extra,
}
return render_to_response('cdr/dashboard.html', variables, context_instance=RequestContext(request))
def cdr_dashboard(request):
"""CDR dashboard on the last 24 hours
**Attributes**:
* ``template`` - cdr/dashboard.html
* ``form`` - SwitchForm
**Logic Description**:
Display calls aggregated information for the last 24hours, several report will be
created and displayed such as hourly call report and hangup cause/country analytics.
"""
logging.debug('CDR dashboard view start')
form = SwitchForm(request.POST or None)
if form.is_valid():
logging.debug('CDR dashboard view with search option')
switch_id = int(getvar(request, 'switch_id'))
else:
switch_id = 0
# Get list of calls/duration for each of the last 24 hours
(calls_hour_aggr, total_calls, total_duration, total_billsec, total_buy_cost, total_sell_cost) = custom_sql_matv_voip_cdr_aggr_last24hours(request.user, switch_id)
# Build chart data for last 24h calls
(xdata, ydata, ydata2, ydata3, ydata4, ydata5) = ([], [], [], [], [], [])
for i in calls_hour_aggr:
start_time = (time.mktime(calls_hour_aggr[i]['calltime'].timetuple()) * 1000)
xdata.append(start_time)
ydata.append(int(calls_hour_aggr[i]['nbcalls']))
ydata2.append(int(calls_hour_aggr[i]['duration']/60))
ydata3.append(int(calls_hour_aggr[i]['billsec']/60))
ydata4.append(int(calls_hour_aggr[i]['buy_cost']))
ydata5.append(int(calls_hour_aggr[i]['sell_cost']))
tooltip_date = "%d %b %y %H:%M %p"
extra_serie1 = {"tooltip": {"y_start": "", "y_end": " calls"}, "date_format": tooltip_date}
extra_serie2 = {"tooltip": {"y_start": "", "y_end": " min"}, "date_format": tooltip_date}
extra_serie3 = {"tooltip": {"y_start": "", "y_end": " min"}, "date_format": tooltip_date}
extra_serie4 = {"tooltip": {"y_start": "", "y_end": ""}, "date_format": tooltip_date}
extra_serie5 = {"tooltip": {"y_start": "", "y_end": ""}, "date_format": tooltip_date}
kwargs1 = {}
kwargs1['bar'] = True
final_chartdata = {
'x': xdata,
'name1': 'Calls', 'y1': ydata, 'extra1': extra_serie1, 'kwargs1': kwargs1,
'name2': 'Duration', 'y2': ydata2, 'extra2': extra_serie2,
'name3': 'Billsec', 'y3': ydata3, 'extra3': extra_serie3,
'name4': 'Buy cost', 'y4': ydata4, 'extra4': extra_serie4,
'name5': 'Sell cost', 'y5': ydata5, 'extra5': extra_serie5,
}
final_charttype = "linePlusBarChart"
# Get top 5 of country calls for last 24 hours
country_data = custom_sql_aggr_top_country_last24hours(request.user, switch_id, limit=5)
# Build pie chart data for last 24h calls per country
(xdata, ydata) = ([], [])
for country in country_data:
xdata.append(get_country_name(country["country_id"]))
ydata.append(percentage(country["nbcalls"], total_calls))
color_list = ['#FFC36C', '#FFFF9D', '#BEEB9F', '#79BD8F', '#FFB391']
extra_serie = {"tooltip": {"y_start": "", "y_end": " %"}, "color_list": color_list}
country_analytic_chartdata = {'x': xdata, 'y1': ydata, 'extra1': extra_serie}
country_analytic_charttype = "pieChart"
country_extra = {
'x_is_date': False,
'x_axis_format': '',
'tag_script_js': True,
'jquery_on_ready': True,
}
# Get top 10 of hangup cause calls for last 24 hours
hangup_cause_data = custom_sql_aggr_top_hangup_last24hours(request.user, switch_id)
# hangup analytic pie chart data
(xdata, ydata) = ([], [])
for hangup_cause in hangup_cause_data:
xdata.append(str(get_hangupcause_name(hangup_cause["hangup_cause_id"])))
ydata.append(str(percentage(hangup_cause["nbcalls"], total_calls)))
color_list = ['#2A343F', '#7E8282', '#EA9664', '#30998F', '#449935']
extra_serie = {"tooltip": {"y_start": "", "y_end": " %"}, "color_list": color_list}
hangup_analytic_chartdata = {'x': xdata, 'y1': ydata, 'extra1': extra_serie}
hangup_analytic_charttype = "pieChart"
hangup_extra = country_extra
logging.debug("Result calls_hour_aggr %d" % len(calls_hour_aggr))
logging.debug("Result hangup_cause_data %d" % len(hangup_cause_data))
logging.debug("Result country_data %d" % len(country_data))
# Calculate the Average Time of Call
metric_aggr = calculate_act_acd(total_calls, total_duration)
final_extra = {
'x_is_date': True,
'x_axis_format': '%H:%M',
# 'x_axis_format': '%d %b %Y',
'tag_script_js': True,
'jquery_on_ready': True,
'focus_enable': True,
}
logging.debug('CDR dashboard view end')
variables = {
'total_calls': total_calls,
'total_duration': int_convert_to_minute(total_duration),
'total_buy_cost': total_buy_cost,
'total_sell_cost': total_sell_cost,
'metric_aggr': metric_aggr,
'country_data': country_data,
'hangup_analytic': hangup_cause_data,
'form': form,
'final_chartdata': final_chartdata,
'final_charttype': final_charttype,
'final_chartcontainer': 'final_container',
'final_extra': final_extra,
'hangup_analytic_charttype': hangup_analytic_charttype,
'hangup_analytic_chartdata': hangup_analytic_chartdata,
'hangup_chartcontainer': 'hangup_piechart_container',
'hangup_extra': hangup_extra,
'country_analytic_charttype': country_analytic_charttype,
'country_analytic_chartdata': country_analytic_chartdata,
'country_chartcontainer': 'country_piechart_container',
'country_extra': country_extra,
}
return render_to_response('cdr/dashboard.html', variables, context_instance=RequestContext(request))