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viewController.py
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from flask import Blueprint, render_template, Response
from flask.ext.security import login_required, current_user
from flask.ext.admin import Admin
from flask.ext.admin.contrib.mongoengine import ModelView
import infinity
import flask, time, subprocess, json,calendar
from infinity import app, Site, Aggr_data, Device, Data, Minute, Hour, Day, Month, Site_data,Site_data_min, \
Site_data_hour, Site_data_day, Site_data_month
from wtforms.fields import TextField
# from flask import Flask
# from htmlmin.main import minify
from htmlmin.minify import html_minify
import dataController
class ReadonlyTextField(TextField):
def __call__(self, *args, **kwargs):
kwargs.setdefault('readonly', True)
return super(ReadonlyTextField, self).__call__(*args, **kwargs)
# from monary import Monary
# from collections import defaultdict
# import numpy
INTERVAL_INIT = 60*60
STREAM_INTERVAL = 1*60
MAX_POINTS = 100
DISTANCE_STEP = 2
DISTANCE_MAX = 10
NOW = int(time.time())
start = NOW - INTERVAL_INIT
end = NOW
# site = 'btsA'
# site = 'Catalina'
site = 'Catalina_LongBeach'
link = 'Catalina_LongBeach'
deviceType = 'CPE'
streamInterval = 1000
updateInterval = 6000
from flask.ext.assets import Environment, Bundle
assets = Environment(app)
# Route calls from app to viewController
viewController = Blueprint('viewController', __name__, template_folder='templates')
#Create Custom Admin views
class UserView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class RoleView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class Aggr_dataView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class MinuteView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class HourView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class DayView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class MonthView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class Site_data_minView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class Site_data_hourView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class Site_data_dayView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class Site_data_monthView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class AuditView(ModelView):
def is_accessible(self):
return current_user.is_authenticated() and current_user.has_role('Root')
class CompanyView(ModelView):
column_exclude_list = ('users')
form_excluded_columns = ('users')
class DeviceView(ModelView):
# if current_user.has_role('Root'):
form_widget_args = {
'name':{
'disabled':True
},
'url':{
'disabled':True
},
'type':{
'disabled':True
},
'site':{
'disabled':True
},
'connId':{
'disabled':True
}
}
def is_accessible(self):
return current_user.is_authenticated()
class SiteView(ModelView):
# if current_user.has_role('Root'):
form_widget_args = {
'name':{
'disabled':True
},
'deviceList':{
'disabled':True
}
}
def is_accessible(self):
return current_user.is_authenticated()
# Add Admin Views
def adminViews(app):
# Create admin
admin = Admin(app, 'Infinity Admin')
# if current_user.is_authenticated() and current_user.has_role('Root'):
# Add admin views
admin.add_view(UserView(infinity.User))
admin.add_view(RoleView(infinity.Role))
admin.add_view(CompanyView(infinity.Company))
admin.add_view(ModelView(infinity.Tag))
admin.add_view(DeviceView(infinity.Device))
admin.add_view(SiteView(infinity.Site))
admin.add_view(ModelView(infinity.Data))
admin.add_view(ModelView(infinity.Site_data))
admin.add_view(Aggr_dataView(infinity.Aggr_data))
admin.add_view(MinuteView(infinity.Minute))
admin.add_view(HourView(infinity.Hour))
admin.add_view(DayView(infinity.Day))
admin.add_view(MonthView(infinity.Month))
admin.add_view(Site_data_minView(infinity.Site_data_min))
admin.add_view(Site_data_hourView(infinity.Site_data_hour))
admin.add_view(Site_data_dayView(infinity.Site_data_day))
admin.add_view(Site_data_monthView(infinity.Site_data_month))
# admin.add_view(ModelView(infinity.Config))
# admin.add_view(ModelView(infinity.Firmware))
# admin.add_view(ModelView(infinity.Freq))
# admin.add_view(ModelView(infinity.Power))
# admin.add_view(ModelView(infinity.Ssid))
# admin.add_view(ModelView(infinity.Job))
admin.add_view(ModelView(infinity.Beagle))
admin.add_view(ModelView(infinity.Router))
admin.add_view(ModelView(infinity.Event))
admin.add_view(AuditView(infinity.Audit))
# Setup Admin Views
# @login_required # if not logged in, login.html will be the default page
adminViews(app)
# Route main page
class ReadonlyTextField(TextField):
def __call__(self, *args, **kwargs):
kwargs.setdefault('readonly', True)
return super(ReadonlyTextField, self).__call__(*args, **kwargs)
@app.route('/')
@login_required # if not logged in, login.html will be the default page
def home():
# now=datetime.datetime.now()
# yesterday = now - datetime.timedelta(days=20)
# now_js = time.mktime(now.timetuple()) * 1000
# yesterday_js = time.mktime(yesterday.timetuple()) * 1000
NOW = int(time.time())
start = NOW - INTERVAL_INIT
end = NOW
ctx = {
'chart_url':'/chart',
'histogram_url':'/histogram',
'path_url':'/path',
'lastpoint_url':'/lastpoint',
'stream_url':'/stream',
'chart_url_site':'/chart_site',
'histogram_url_site':'/histogram_site',
'path_url_site':'/path_site',
'lastpoint_url_site':'/lastpoint_site',
'stream_url_site':'/stream_site',
'data' :chart_view_init(),
'histogram':generate_histogram_init(),
'path' :generate_path_init(),
'stream' :stream_view_init(),
'links_url':'/links',
# 'onSite' :'false',
'site' :site,
'link' :site,
'fromTime' :start*1000,
'toTime' :end*1000,
'lastTime' :end*1000,
'type' :deviceType,
'streamInterval':streamInterval,
'updateInterval':updateInterval
}
# if current_user.has_role('Root'):
# ctx['devices_url'] = '/devices'
# else:
# ctx['devices_url'] = '/devices?type=CPE'
ctx['devices_url'] = '/devices'
dataController.startdata()
# fromTime = calendar.timegm(start.timetuple()) * 1000
# toTime = calendar.timegm(end.timetuple()) * 1000
# ctx['fromTime']= fromTime
# ctx['toTime']= toTime
return html_minify(render_template('index.html',**ctx))
# return render_template('index.html',**ctx)
@app.route('/lastpoint', methods= ['POST','GET'])
@login_required
def lastPoint():
lastTime = int(flask.request.args.get('lastTime'))/1000
site = flask.request.args.get('site')
query_set = Aggr_data.objects(time__gte = lastTime, site = site ).order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
for ob in query_set:
# if ob:
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))])
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
return data_dumps # if there is no data it will return zero
@app.route('/lastpoint_site', methods= ['POST','GET'])
@login_required
def lastPoint_site():
lastTime = int(flask.request.args.get('lastTime'))/1000
site = flask.request.args.get('site')
query_set = Site_data.objects(time__gte = lastTime, name = site ).order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
for ob in query_set:
# if ob:
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))])
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
return data_dumps # if there is no data it will return zero
@app.route('/chart', methods= ['POST','GET'])
@login_required
def chart_view():
toTime = int(flask.request.args.get('toTime'))/1000
fromTime = int(flask.request.args.get('fromTime'))/1000
site = flask.request.args.get('site')
if fromTime == toTime:
fromTime = toTime - INTERVAL_INIT
# type = flask.request.args.get('type')
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
range = toTime - fromTime
# 25 min range loads second data - 15s x 4 x 25 = 100 pts
if (range < 5 * 60 ):
query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)> 100:
# query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# 100 min range loads minute data - 100 mins = 1hr 40 mins
elif (range < 100 * 60 ):
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# 4 day range loads hourly data - 100 hours ~ 4 days
elif (range < 25 * 3600 ):
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# 1 yr range loads daily data = 100 days ~ 3.5 months
elif (range < 30 * 24 * 3600 ):
query_set = Day.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# greater range loads monthly data
else:
query_set = Month.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Day.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# else :
# # query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# # only('time',"data","cap","distance").order_by('time')
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# if len(query_set) < 100 :
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
app.logger.info("chart size is %s " % len(query_set))
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
# data = []
for ob in query_set:
# cap = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.cap)))
# # data.append(list(s))
# data = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.data)))
# distance = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.distance)))
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))]) # multiple by 1.5 to see if data is changing
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
# data_jsonify = flask.jsonify(**data) # same as flask.Response but doesn't quite work
return data_dumps
@app.route('/chart_site', methods= ['POST','GET'])
@login_required
def chart_view_site():
toTime = int(flask.request.args.get('toTime'))/1000
fromTime = int(flask.request.args.get('fromTime'))/1000
site = flask.request.args.get('site')
if fromTime == toTime:
fromTime = toTime - INTERVAL_INIT
# type = flask.request.args.get('type')
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
range = toTime - fromTime
# 25 min range loads second data - 25 x 4
if (range < 5 * 60 ):
query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)> 100:
# query_set = Site_data_min.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap","distance").order_by('time')
# 100 min range loads minute data
elif (range < 100 * 60 ):
query_set = Site_data_min.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
# only('time',"data","cap","distance").order_by('time')
# 100 hrs range loads hourly data
elif (range < 25 * 3600 ):
query_set = Site_data_hour.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_min.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
# only('time',"data","cap","distance").order_by('time')
# 100 day range loads daily data
elif (range < 30 * 24 * 3600 ):
query_set = Site_data_day.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_hour.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_min.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
# only('time',"data","cap","distance").order_by('time')
# greater range loads monthly data
else:
query_set = Site_data_month.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_day.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_hour.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
if len(query_set)< 12:
query_set = Site_data_min.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if len(query_set)< 50:
# query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
# only('time',"data","cap","distance").order_by('time')
# else :
# # query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# # only('time',"data","cap","distance").order_by('time')
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site ).\
# only('time',"data","cap").order_by('time')
# if len(query_set) < 100 :
# query_set = Site_data.objects(time__gt = fromTime, time__lt = toTime, name = site ).\
# only('time',"data","cap","distance").order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
# data = []
app.logger.info("chart_site size is %s " % len(query_set))
for ob in query_set:
# cap = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.cap)))
# # data.append(list(s))
# data = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.data)))
# distance = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.distance)))
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))]) # multiple by 1.5 to see if data is changing
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
# data_jsonify = flask.jsonify(**data) # same as flask.Response but doesn't quite work
return data_dumps
def chart_view_init():
# global start, end
now = int(time.time())
start = now - INTERVAL_INIT
end = now
# if start == end:
# start = end - INTERVAL_INIT
query_set = Minute.objects(time__gt = start, time__lt = end, site = site ).\
only('time',"data","cap","distance").order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
# if query_set:
# start = query_set[0].time
# end = query_set[len(query_set)-1].time
# # data =[]
for ob in query_set:
# t = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.data)),
# float("{0:.2f}".format(ob.cap)),float("{0:.2f}".format(ob.distance)))
# s = (calendar.timegm(ob.time.timetuple()) * 1000,float("{0:.2f}".format(ob.data)))
# data.append(list(s))
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))]) # multiple by 1.5 to see if data is changing
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
return data
@app.route('/stream', methods= ['POST','GET'])
@login_required
def stream_view():
# global start, end
startStream = int(time.time())-STREAM_INTERVAL
endStream = int(time.time())
site = flask.request.args.get('site')
type = flask.request.args.get('type')
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
query_set = Aggr_data.objects(time__gt = startStream, time__lt = endStream, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if query_set:
# pass
# else:
# query_set = Aggr_data.objects(time__gt = start, time__lt = end, site = site ).\
# only('time',"data","cap","distance").order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
for ob in query_set:
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))])
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
return data_dumps
@app.route('/stream_site', methods= ['POST','GET'])
@login_required
def stream_view_site():
# global start, end
startStream = int(time.time())-STREAM_INTERVAL
endStream = int(time.time())
site = flask.request.args.get('site')
type = flask.request.args.get('type')
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
query_set = Site_data.objects(time__gt = startStream, time__lt = endStream, name = site ).\
only('time',"data","cap","distance").order_by('time')
# if query_set:
# pass
# else:
# query_set = Site_data.objects(time__gt = start, time__lt = end, name = site ).\
# only('time',"data","cap","distance").order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
for ob in query_set:
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))])
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
data_dumps = Response(json.dumps(data), mimetype='application/json')
return data_dumps
def stream_view_init():
# global start, end
startStream = int(time.time())-STREAM_INTERVAL
endStream = int(time.time())
# global start, end
query_set = Aggr_data.objects(time__gt = startStream, time__lt = endStream, site = site ).\
only('time',"data","cap","distance").order_by('time')
# if query_set:
# pass
# else:
# query_set = Aggr_data.objects(time__gt = start, time__lt = end, site = site ).\
# only('time',"data","cap","distance").order_by('time')
data = {}
data["cap"]=[]
data["data"]=[]
data["distance"]=[]
for ob in query_set:
t = ob.time*1000
data["cap"].append([t,float("{0:.2f}".format(ob.cap))])
data["data"].append([t,float("{0:.2f}".format(ob.data))])
data["distance"].append([t,float("{0:.2f}".format(ob.distance))])
return data
@app.route('/devices', methods=['POST','GET'])
@login_required
def get_devices_and_data():
device_type = flask.request.args.get('type')
response_data = []
if device_type is None:
for site in Site.objects:
# recordObjects = Site_data.objects(name=site.name).order_by('-time').limit(5) # todo: limit # of records to 5
record = Site_data.objects(name=site.name).order_by('-time').first() # todo: limit # of records to 5
if record:
# cpeDevice = Device.objects(type = 'CPE',site = site.name).first()
# if len(recordObjects) > 3:
# record = recordObjects [2] # don't take the latest timestamp data, but a few seconds earlier
response_data.append({"site":record.name,"tx":"{:.2f}".format(record.tx), "rx":"{:.2f}".format(record.rx),
"cap":"{:.2f}".format(record.cap), "data":"{:.2f}".format(record.data),
# "coverage":record.coverage,"distance":"{:.2f}".format(record.distance),
"lat":record.geo[0], "lng":record.geo[1], "time":record.time * 1000,"type":record.type})
# btsDevice = Device.objects(type = 'BTS',connId = cpeDevice.connId).first()
# response_data.append({"site":btsDevice.site,"tx":"{:.2f}".format(record.tx), "rx":"{:.2f}".format(record.rx),
# "cap":"{:.2f}".format(record.cap), "data":"{:.2f}".format(record.data),
# "coverage":record.coverage,"distance":"{:.2f}".format(record.distance),
# "lat":btsDevice.lat, "lng":btsDevice.lng, "time":record.time * 1000, "type":'BTS'})
data_dumps= Response(json.dumps(response_data), mimetype='application/json')
return data_dumps
@app.route('/links', methods=['POST','GET'])
@login_required
def get_links():
response_data = []
timeStamp = int(flask.request.args.get('time'))/1000
for device in Device.objects:
if device.type == 'CPE':
record = Data.objects(deviceName = device.name).order_by('-time').first()
if record:
record = Aggr_data.objects(site = record.linkName, time = record.time).first()
site = Site.objects(deviceList__icontains = device.name).first()
if site and record:
siteRecord = Site_data.objects(name = site.name, time = record.time).first()
if siteRecord:
btsDevice = Device.objects(connId = record.site, type = 'BTS').first()
# btsRecord = Aggr_data.objects(site = btsDevice.site).order_by('-time').first()
# # distance = distance_in_miles(record.geo,btsRecord.geo)
if btsDevice is None:
app.logger.error("There is NO bts device corresponding to link %s " % record.site)
else:
response_data.append({"connId":record.site,"tx":"{:.2f}".format(record.tx),
"rx":"{:.2f}".format(record.rx),"cap":"{:.2f}".format(record.cap),
"data":"{:.2f}".format(record.data),
"lat":siteRecord.geo[0], "lng":siteRecord.geo[1], "lat1":btsDevice.lat, "lng1":btsDevice.lng,
"time":record.time * 1000, "distance":"{:.2f}".format(record.distance)})
else:
app.logger.error("There is NO aggr_data corresponding to cpe %s" % device.name)
else:
app.logger.error("There is NO data corresponding to cpe %s " % device.name)
data_dumps= Response(json.dumps(response_data), mimetype='application/json')
return data_dumps
# data_jsonify= flask.jsonify(*response_data)
# if (data_jsonify==data_dumps):
# print "data_jsonify is equal to data_dumps"
# return Response(json.dumps(response_data), mimetype='application/json')
# return flask.jsonify(*response_data) # same as flask.Response but doesn't work
def generate_histogram_init():
# toTimeStamp = datetime.datetime.now()
# fromTimeStamp = toTimeStamp-datetime.timedelta(days=15)
# site = 'ShipA'
now = int(time.time())
start = now - INTERVAL_INIT
end = now
data = {}
data["avg_cap"]=[]
data["records"]=[]
data["distance"]=[]
total_records = len(Minute.objects(time__gt = start, time__lt = end, site = site ))
if total_records == 0: # prevent divide by zero condition
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Minute.objects(time__gt = start, time__lt = end,
site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Minute.objects(time__gt = start, time__lt = end, site = site
, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
# @app.route('/histogram')
# @login_required
# def generate_histogram():
#
# toTimeStamp = int(flask.request.args.get('toTime'))/1000
# fromTimeStamp = int(flask.request.args.get('fromTime'))/1000
# site = flask.request.args.get('site')
# type = flask.request.args.get('type')
# if fromTimeStamp == toTimeStamp:
# fromTimeStamp = toTimeStamp - INTERVAL_INIT
# # if type == 'BTS':
# # site = Device.objects(site = site).first()
# # site = Device.objects(connId = site.connId, type = 'CPE').first().site
# data = {}
# data["avg_cap"]=[]
# data["records"]=[]
# data["distance"]=[]
#
# total_records = len(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
# if total_records == 0:
# total_records=1
# step=DISTANCE_STEP
# for x in range(step,DISTANCE_MAX,step):
# data["records"].append( len( Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
# site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
# data["avg_cap"].append(float("{0:.2f}".format(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site
# , distance__lt = x, distance__gte = x-step).average('cap'))))
# data["distance"].append(x)
# data_dumps= Response(json.dumps(data), mimetype='application/json')
# return data_dumps
@app.route('/histogram')
@login_required
def generate_histogram():
toTimeStamp = int(flask.request.args.get('toTime'))/1000
fromTimeStamp = int(flask.request.args.get('fromTime'))/1000
site = flask.request.args.get('site')
if fromTimeStamp == toTimeStamp:
fromTimeStamp = toTimeStamp - INTERVAL_INIT
data = {}
data["avg_cap"]=[]
data["records"]=[]
data["distance"]=[]
range = toTimeStamp - fromTimeStamp
if (range < 24 * 3600 ):
total_records = len(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
histogramLinkMin(fromTimeStamp,toTimeStamp,site,total_records,data)
elif (range < 30 * 24 * 3600 ):
total_records = len(Hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
histogramLinkMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkHour(fromTimeStamp,toTimeStamp,site,total_records,data)
elif (range < 365 * 24 * 3600 ):
total_records = len(Day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
histogramLinkMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkHour(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkDay(fromTimeStamp,toTimeStamp,site,total_records,data)
else:
total_records = len(Month.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
if total_records < 12:
total_records = len(Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site ))
histogramLinkMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkHour(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkDay(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramLinkMonth(fromTimeStamp,toTimeStamp,site,total_records,data)
data_dumps= Response(json.dumps(data), mimetype='application/json')
return data_dumps
@app.route('/histogram_site')
@login_required
def generate_histogram_site():
toTimeStamp = int(flask.request.args.get('toTime'))/1000
fromTimeStamp = int(flask.request.args.get('fromTime'))/1000
site = flask.request.args.get('site')
# type = flask.request.args.get('type')
if fromTimeStamp == toTimeStamp:
fromTimeStamp = toTimeStamp - INTERVAL_INIT
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
data = {}
data["avg_cap"]=[]
data["records"]=[]
data["distance"]=[]
range = toTimeStamp - fromTimeStamp
if (range < 24 * 3600 ):
total_records = len(Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
histogramSiteMin(fromTimeStamp,toTimeStamp,site,total_records,data)
elif (range < 30 * 24 * 3600 ):
total_records = len(Site_data_hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
histogramSiteMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteHour(fromTimeStamp,toTimeStamp,site,total_records,data)
elif (range < 365 * 24 * 3600 ):
total_records = len(Site_data_day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
histogramSiteMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteHour(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteDay(fromTimeStamp,toTimeStamp,site,total_records,data)
else:
total_records = len(Site_data_month.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
if total_records < 12:
total_records = len(Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
histogramSiteMin(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteHour(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteDay(fromTimeStamp,toTimeStamp,site,total_records,data)
else :
histogramSiteMonth(fromTimeStamp,toTimeStamp,site,total_records,data)
# total_records = len(Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, name = site ))
# doc = Site_data_min()
# histSiteMin(fromTimeStamp,toTimeStamp,site,total_records,data,doc)
# if total_records == 0:
# total_records=1
# step=DISTANCE_STEP
# for x in range(step,DISTANCE_MAX,step):
# # data["records"].append( len( Site_data.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
# # name = site , cap__lt = x, cap__gte = x-step) )*100/total_records )
# # # data["avg_cap"].append(float("{0:.2f}".format(Aggr_data.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp, site = site
# # # , distance__lt = x, distance__gte = x-step).average('cap'))))
# # data["avg_cap"].append(x)
# data["records"].append( len( Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
# name = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
# data["avg_cap"].append(float("{0:.2f}".format(Site_data_min.objects(time__gt = fromTimeStamp,
# time__lt = toTimeStamp,name = site, distance__lt = x, distance__gte = x-step).average('cap'))))
# data["distance"].append(x)
#
data_dumps= Response(json.dumps(data), mimetype='application/json')
return data_dumps
def histogramSiteMin(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Site_data_min.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
name = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Site_data_min.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,name = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramSiteHour(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Site_data_hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
name = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Site_data_hour.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,name = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramSiteDay(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Site_data_day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
name = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Site_data_day.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,name = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramSiteMonth(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Site_data_month.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
name = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Site_data_month.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,name = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramLinkMin(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Minute.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Minute.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,site = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramLinkHour(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Hour.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Hour.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,site = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramLinkDay(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Day.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Day.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,site = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
def histogramLinkMonth(fromTimeStamp, toTimeStamp, site, total_records,data):
if total_records == 0:
total_records=1
step=DISTANCE_STEP
for x in range(step,DISTANCE_MAX,step):
data["records"].append( len( Month.objects(time__gt = fromTimeStamp, time__lt = toTimeStamp,
site = site , distance__lt = x, distance__gte = x-step) )*100/total_records )
data["avg_cap"].append(float("{0:.2f}".format(Month.objects(time__gt = fromTimeStamp,
time__lt = toTimeStamp,site = site, distance__lt = x, distance__gte = x-step).average('cap'))))
data["distance"].append(x)
return data
@app.route('/path')
@login_required
def generate_path():
toTime = int(flask.request.args.get('toTime'))/1000
fromTime = int(flask.request.args.get('fromTime'))/1000
site = flask.request.args.get('site')
type = flask.request.args.get('type')
if fromTime == toTime:
fromTime = toTime - INTERVAL_INIT
# if type == 'BTS':
# site = Device.objects(site = site).first()
# site = Device.objects(connId = site.connId, type = 'CPE').first().site
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )\
# .only('time',"cap","geo","distance","coverage")
# start = 0
# skip = len(query_set)/MAX_POINTS
range = toTime - fromTime
# 25 min range loads second data - 15s x 4 x 25 = 100 pts
if (range < 5 * 60 ):
query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )
# if len(query_set)> 100:
# query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site )
# 100 min range loads minute data - 100 mins = 1hr 40 mins
elif (range < 100 * 60 ):
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site )
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )
# 1 day range loads hourly data
elif (range < 25 * 3600 ):
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site )
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )
# 30 day range loads daily data
elif (range < 30 * 24 * 3600 ):
query_set = Day.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site )
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )
# greater range loads monthly data
else:
query_set = Month.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Day.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Hour.objects(time__gt = fromTime, time__lt = toTime, site = site )
if len(query_set)< 12:
query_set = Minute.objects(time__gt = fromTime, time__lt = toTime, site = site )
# if len(query_set)< 50:
# query_set = Aggr_data.objects(time__gt = fromTime, time__lt = toTime, site = site )