def cdr_realtime(request): """Call realtime view **Attributes**: * ``template`` - cdr/realtime.html * ``form`` - SwitchForm * ``mongodb_collection`` - MONGO_CDRSTATS['CONC_CALL_AGG'] (map-reduce collection) **Logic Description**: get all call records from mongodb collection for concurrent analytics """ logging.debug("CDR realtime view start") query_var = {} switch_id = 0 list_switch = Switch.objects.all() form = SwitchForm(request.POST or None) if form.is_valid(): switch_id = int(getvar(request, "switch_id")) if switch_id and switch_id != 0: query_var["value.switch_id"] = switch_id now = datetime.now() start_date = datetime(now.year, now.month, now.day, 0, 0, 0, 0) end_date = datetime(now.year, now.month, now.day, 23, 59, 59, 999999) query_var["value.call_date"] = {"$gte": start_date, "$lt": end_date} if not request.user.is_superuser: # not superuser query_var["value.accountcode"] = request.user.userprofile.accountcode # calls_in_day = mongodb.conc_call_agg.find(query_var).sort([('_id.g_Millisec', -1)]) calls_in_day = {} final_data = [] for d in calls_in_day: dt = int(d["_id"]["g_Millisec"]) final_data.append((dt, int(d["value"]["numbercall__max"]))) logging.debug("Realtime view end") variables = { "form": form, "final_data": final_data, "list_switch": list_switch, "colorgraph1": "180, 0, 0", "colorgraph2": "0, 180, 0", "colorgraph3": "0, 0, 180", "realtime_graph_maxcall": settings.REALTIME_Y_AXIS_LIMIT, } return render_to_response("cdr/graph_realtime.html", variables, context_instance=RequestContext(request))
def cdr_realtime(request): """Call realtime view **Attributes**: * ``template`` - cdr/realtime.html * ``form`` - SwitchForm * ``mongodb_collection`` - MONGO_CDRSTATS['CONC_CALL_AGG'] (map-reduce collection) **Logic Description**: get all call records from mongodb collection for concurrent analytics """ logging.debug('CDR realtime view start') query_var = {} switch_id = 0 list_switch = Switch.objects.all() form = SwitchForm(request.POST or None) if form.is_valid(): switch_id = int(getvar(request, 'switch_id')) if switch_id and switch_id != 0: query_var['value.switch_id'] = switch_id now = datetime.now() start_date = datetime(now.year, now.month, now.day, 0, 0, 0, 0) end_date = datetime(now.year, now.month, now.day, 23, 59, 59, 999999) query_var['value.call_date'] = {'$gte': start_date, '$lt': end_date} if not request.user.is_superuser: # not superuser query_var['value.accountcode'] = request.user.userprofile.accountcode # calls_in_day = mongodb.conc_call_agg.find(query_var).sort([('_id.g_Millisec', -1)]) calls_in_day = {} final_data = [] for d in calls_in_day: dt = int(d['_id']['g_Millisec']) final_data.append((dt, int(d['value']['numbercall__max']))) logging.debug('Realtime view end') variables = { 'form': form, 'final_data': final_data, 'list_switch': list_switch, 'colorgraph1': '180, 0, 0', 'colorgraph2': '0, 180, 0', 'colorgraph3': '0, 0, 180', 'realtime_graph_maxcall': settings.REALTIME_Y_AXIS_LIMIT, } return render_to_response('cdr/graph_realtime.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))