def screening_geog_pie_data(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
geog_list = [None, 'COUNTRY','STATE','DISTRICT','BLOCK','VILLAGE', 'DUMMY']
if(geog not in geog_list[:-1]):
raise Http404()
get_req_url = request.META['QUERY_STRING']
get_req_url = [i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id']
get_req_url.append("geog="+geog_list[geog_list.index(geog)+1].lower())
url = "/analytics/screening_module?"
scr_geog = run_query(shared_sql.overview(geog,id, from_date, to_date, partners,'screening'))
geog_name = run_query_dict(shared_sql.child_geog_list(geog,id, from_date, to_date),'id')
return_val = []
return_val.append(['title','value','url'])
for item in scr_geog:
if(geog is None or geog.upper()!= "VILLAGE"):
temp_get_req_url = get_req_url[:]
temp_get_req_url.append("id="+str(item['id']))
return_val.append([geog_name[item['id']][0], float(item['tot_scr']), url+'&'.join(temp_get_req_url)])
else:
return_val.append([geog_name[item['id']][0], float(item['tot_scr']), ''])
return HttpResponse(json.dumps(return_val))
def adoption_geog_pie_data(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
geog_list = [None,'COUNTRY','STATE','DISTRICT','BLOCK','VILLAGE', 'DUMMY']
if(geog not in geog_list[:-1]):
raise Http404()
get_req_url = request.META['QUERY_STRING']
get_req_url = [i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id']
get_req_url.append("geog="+geog_list[geog_list.index(geog)+1].lower())
url = "/analytics/adoption_module?"
ado_prod = run_query(shared_sql.overview(geog,id, from_date, to_date, partners, 'adoption'))
geog_name = run_query_dict(shared_sql.child_geog_list(geog, id, from_date, to_date),'id')
return_val = []
return_val.append(['name','value','url'])
for item in ado_prod:
if(geog is None or geog.upper()!= "VILLAGE"):
temp_get_req_url = get_req_url[:]
temp_get_req_url.append("id="+str(item['id']))
return_val.append([geog_name[item['id']][0], float(item['tot_ado']) ,url+'&'.join(temp_get_req_url)])
else:
return_val.append([geog_name[item['id']][0], float(item['tot_ado']), ''])
return HttpResponse(json.dumps(return_val))
def pie_chart_data(sqlFunc, pieNameDict, desc, **args):
rs = run_query_dict(sqlFunc(**args), 'pie_key')
str_list = [['Gender', 'value']]
if not rs:
return HttpResponse(json.dumps(str_list))
for key, value in pieNameDict.iteritems():
if (key in rs):
str_list.append([value, rs[key][0]])
else:
str_list.append([value, 0])
return HttpResponse(json.dumps(str_list))
def pie_chart_data(sqlFunc,pieNameDict, desc, **args):
rs = run_query_dict(sqlFunc(**args),'pie_key')
str_list = [['Gender','value']]
if not rs:
return HttpResponse(json.dumps(str_list))
for key, value in pieNameDict.iteritems():
if(key in rs):
str_list.append([value,rs[key][0]])
else:
str_list.append([value,0])
return HttpResponse(json.dumps(str_list))
def overview_line_graph(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
if ('type' in request.GET):
graph_type = request.GET.getlist('type')
else:
graph_type = ['prod', 'screen', 'prac', 'person', 'adopt']
if ('prod' in graph_type):
vid_prod_rs = run_query_dict(
shared_sql.overview_line_chart(type='production',
geog=geog,
id=id,
from_date=from_date,
to_date=to_date,
partners=partners), 'date')
else:
vid_prod_rs = []
if ('screen' in graph_type):
sc_rs = run_query_dict(
shared_sql.overview_line_chart(type='screening',
geog=geog,
id=id,
from_date=from_date,
to_date=to_date,
partners=partners), 'date')
else:
sc_rs = []
if ('adopt' in graph_type):
adopt_rs = run_query_dict(
shared_sql.overview_line_chart(type='adoption',
geog=geog,
id=id,
from_date=from_date,
to_date=to_date,
partners=partners), 'date')
else:
adopt_rs = []
if ('prac' in graph_type):
prac_rs = run_query_dict(
shared_sql.overview_line_chart(type='practice',
geog=geog,
id=id,
from_date=from_date,
to_date=to_date,
partners=partners), 'date')
else:
prac_rs = []
if ('person' in graph_type):
person_rs = run_query_dict(
shared_sql.overview_line_chart(type='person',
geog=geog,
id=id,
from_date=from_date,
to_date=to_date,
partners=partners), 'date')
else:
person_rs = []
start_date = today = datetime.date.today()
if vid_prod_rs:
start_date = min(start_date, *(vid_prod_rs.keys()))
if sc_rs:
start_date = min(start_date, *(sc_rs.keys()))
if adopt_rs:
start_date = min(start_date, *(adopt_rs.keys()))
if prac_rs:
start_date = min(start_date, *(prac_rs.keys()))
if person_rs:
start_date = min(start_date, *(person_rs.keys()))
diff = (today - start_date).days
str_list = []
sum_vid = sum_sc = sum_adopt = sum_prac = sum_person = 0
for i in range(0, diff + 1):
iter_date = start_date + datetime.timedelta(days=i)
if iter_date in vid_prod_rs:
sum_vid += vid_prod_rs[iter_date][0]
if iter_date in sc_rs:
sum_sc += sc_rs[iter_date][0]
if iter_date in adopt_rs:
sum_adopt += adopt_rs[iter_date][0]
if iter_date in prac_rs:
sum_prac += prac_rs[iter_date][0]
if iter_date in person_rs:
sum_person += person_rs[iter_date][0]
append_str = [str(iter_date)]
if ('prod' in graph_type): append_str.append(float(sum_vid))
if ('screen' in graph_type): append_str.append(float(sum_sc))
if ('adopt' in graph_type): append_str.append(float(sum_adopt))
if ('prac' in graph_type): append_str.append(float(sum_prac))
if ('person' in graph_type): append_str.append(float(sum_person))
str_list.append(append_str)
#For settings
header = ['date']
if ('prod' in graph_type):
header.append('Total videos produced')
if ('screen' in graph_type):
header.append('Total disseminations')
if ('adopt' in graph_type):
header.append('Total adoptions')
if ('prac' in graph_type):
header.append('Total practices')
if ('person' in graph_type):
header.append('Total viewers')
str_list.insert(0, header)
return HttpResponse(json.dumps(str_list))
def overview_module(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
geog_list = [None,'COUNTRY','STATE','DISTRICT','BLOCK','VILLAGE']
if(geog is not None and geog not in geog_list):
raise Http404()
geog_child = geog_par = "NULL"
if geog != None:
geog_par = geog_list[geog_list.index(geog)-1]
if geog != "VILLAGE":
geog_child = geog_list[geog_list.index(geog)+1]
#Constructing table data
vid_prod = run_query_dict(shared_sql.overview(type='production',geog=geog,id=id, from_date = from_date, to_date=to_date, partners=partners),'id');
vid_screening = run_query_dict(shared_sql.overview(type='screening',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
adoption = run_query_dict(shared_sql.overview(type='adoption',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_prac = run_query_dict(shared_sql.overview(type='practice',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_per = run_query_dict(shared_sql.overview(type='person',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_vil = run_query_dict(shared_sql.overview(type='village',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
#Merging all dictionaries (vid_prod, tot_prac, etc) into one big one 'table_data'
table_data = run_query(shared_sql.child_geog_list(geog=geog,id=id, from_date = from_date, to_date=to_date))
for i in table_data:
if i['id'] in vid_prod:
i['tot_pro'] = vid_prod[i['id']][0]
else:
i['tot_pro'] = 0
if i['id'] in adoption:
i['tot_ado'] = adoption[i['id']][0]
else:
i['tot_ado'] = 0
if i['id'] in vid_screening:
i['tot_scr'] = vid_screening[i['id']][0]
else:
i['tot_scr'] = 0
if i['id'] in tot_prac:
i['tot_pra'] = tot_prac[i['id']][0]
else:
i['tot_pra'] = 0
if i['id'] in tot_per:
i['tot_per'] = tot_per[i['id']][0]
else:
i['tot_per'] = 0
if i['id'] in tot_vil:
i['tot_vil'] = tot_vil[i['id']][0]
else:
i['tot_vil'] = 0
i['geog'] = geog_child
#par_geog is summed data in the below table
par_geog_data = {}
par_geog_data['tot_vid'] = reduce(lambda x,y: x+y, map(lambda x: x[0], vid_prod.values()), 0)
par_geog_data['tot_scr'] = reduce(lambda x,y: x+y, map(lambda x: x[0], vid_screening.values()), 0)
par_geog_data['tot_per'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_per.values()), 0)
par_geog_data['tot_pra'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_prac.values()), 0)
par_geog_data['tot_vil'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_vil.values()), 0)
par_geog_data['tot_ado'] = reduce(lambda x,y: x+y, map(lambda x: x[0], adoption.values()), 0)
par_geog_data['name'], par_geog_data['id'] = get_parent_geog_id(geog, id)
par_geog_data['geog'] = geog_par
#country data is the top-data
country_data = {}
#Total Person Group
country_data.update(run_query(overview_analytics_sql.overview_tot_pg(geog, id, from_date, to_date, partners))[0])
if(to_date):
date_var = to_date
else:
date_var = (datetime.datetime.utcnow() - datetime.timedelta(1)).strftime('%Y-%m-%d')
#Operational Village (Last 60 days)
country_data.update(vil_oper = run_query(targets_sql.get_village_operational(geog, id, date_var, partners))[0]['count'])
tot_val = views.screening_analytics.get_dist_attendees_avg_att_avg_sc(geog, id, from_date, to_date, partners, ['avg_sc_per_day', 'avg_att_per_sc']);
#Average attendance
#Average Screening
country_data.update(avg_att = tot_val['avg_att_per_sc'])
country_data.update(avg_scr = tot_val['avg_sc_per_day'])
#Adoption Rate
country_data.update(adopt_rate = views.adoption_analytics.adoption_rate(geog, id, to_date, partners))
#Distinct videos screened
country_data.update(vid_screened = run_query(video_analytics_sql.video_tot_scr(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners))[0]['count'])
#search box params are the parameters for the search box i.e. dates, geography drop-down and partners if any
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
# print get_req_url
get_req_url = '&'.join([i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id'])
if(geog_child != "NULL"):
header_geog = geog_child
else:
header_geog = "Village"
return render(request, 'overview_module.html', dict(search_box_params = search_box_params, \
country_data = country_data, \
table_data = table_data, \
par_geog_data = par_geog_data, \
get_req_url = get_req_url, \
header_geog = header_geog \
))
def overview_module(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
geog_list = [None,'COUNTRY','STATE','DISTRICT','BLOCK','VILLAGE']
if(geog is not None and geog not in geog_list):
raise Http404()
geog_child = geog_par = "NULL"
if geog != None:
geog_par = geog_list[geog_list.index(geog)-1]
if geog != "VILLAGE":
geog_child = geog_list[geog_list.index(geog)+1]
#Constructing table data
vid_prod = run_query_dict(shared_sql.overview(type='production',geog=geog,id=id, from_date = from_date, to_date=to_date, partners=partners),'id');
vid_screening = run_query_dict(shared_sql.overview(type='screening',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
adoption = run_query_dict(shared_sql.overview(type='adoption',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_prac = run_query_dict(shared_sql.overview(type='practice',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_per = run_query_dict(shared_sql.overview(type='person',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
tot_vil = run_query_dict(shared_sql.overview(type='village',geog=geog,id=id,from_date = from_date, to_date=to_date, partners=partners),'id');
#Merging all dictionaries (vid_prod, tot_prac, etc) into one big one 'table_data'
table_data = run_query(shared_sql.child_geog_list(geog=geog,id=id, from_date = from_date, to_date=to_date, partners=partners))
for i in table_data:
if i['id'] in vid_prod:
i['tot_pro'] = vid_prod[i['id']][0]
else:
i['tot_pro'] = 0
if i['id'] in adoption:
i['tot_ado'] = adoption[i['id']][0]
else:
i['tot_ado'] = 0
if i['id'] in vid_screening:
i['tot_scr'] = vid_screening[i['id']][0]
else:
i['tot_scr'] = 0
if i['id'] in tot_prac:
i['tot_pra'] = tot_prac[i['id']][0]
else:
i['tot_pra'] = 0
if i['id'] in tot_per:
i['tot_per'] = tot_per[i['id']][0]
else:
i['tot_per'] = 0
if i['id'] in tot_vil:
i['tot_vil'] = tot_vil[i['id']][0]
else:
i['tot_vil'] = 0
i['geog'] = geog_child
#par_geog is summed data in the below table
par_geog_data = {}
par_geog_data['tot_vid'] = reduce(lambda x,y: x+y, map(lambda x: x[0], vid_prod.values()), 0)
par_geog_data['tot_scr'] = reduce(lambda x,y: x+y, map(lambda x: x[0], vid_screening.values()), 0)
par_geog_data['tot_per'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_per.values()), 0)
par_geog_data['tot_pra'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_prac.values()), 0)
par_geog_data['tot_vil'] = reduce(lambda x,y: x+y, map(lambda x: x[0], tot_vil.values()), 0)
par_geog_data['tot_ado'] = reduce(lambda x,y: x+y, map(lambda x: x[0], adoption.values()), 0)
par_geog_data['name'], par_geog_data['id'] = get_parent_geog_id(geog, id)
par_geog_data['geog'] = geog_par
#country data is the top-data
country_data = {}
#Total Person Group
country_data.update(run_query(overview_analytics_sql.overview_tot_pg(geog, id, from_date, to_date, partners))[0])
if(to_date):
date_var = to_date
else:
date_var = (datetime.datetime.utcnow() - datetime.timedelta(1)).strftime('%Y-%m-%d')
#Operational Village (Last 60 days)
country_data.update(vil_oper = run_query(targets_sql.get_village_operational(geog, id, date_var, partners))[0]['count'])
tot_val = views.screening_analytics.get_dist_attendees_avg_att_avg_sc(geog, id, from_date, to_date, partners, ['avg_sc_per_day', 'avg_att_per_sc']);
#Average attendance
#Average Screening
country_data.update(avg_att = tot_val['avg_att_per_sc'])
country_data.update(avg_scr = tot_val['avg_sc_per_day'])
#Adoption Rate
country_data.update(adopt_rate = views.adoption_analytics.adoption_rate(geog, id, to_date, partners))
#Distinct videos screened
country_data.update(vid_screened = run_query(video_analytics_sql.video_tot_scr(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners))[0]['count'])
#search box params are the parameters for the search box i.e. dates, geography drop-down and partners if any
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
print get_req_url
get_req_url = '&'.join([i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id'])
if(geog_child != "NULL"):
header_geog = geog_child
else:
header_geog = "Village"
return render_to_response('overview_module.html', dict(search_box_params = search_box_params, \
country_data = country_data, \
table_data = table_data, \
par_geog_data = par_geog_data, \
get_req_url = get_req_url, \
header_geog = header_geog \
))
def overview_line_graph(request):
geog, id = get_geog_id(request)
from_date, to_date, partners = get_dates_partners(request)
if('type' in request.GET):
graph_type = request.GET.getlist('type')
else:
graph_type = ['prod', 'screen', 'prac', 'person', 'adopt']
if('prod' in graph_type):
vid_prod_rs = run_query_dict(shared_sql.overview_line_chart(type='production',geog=geog,id=id, from_date=from_date, to_date=to_date, partners=partners),'date');
else:
vid_prod_rs = []
if('screen' in graph_type):
sc_rs = run_query_dict(shared_sql.overview_line_chart(type='screening',geog=geog,id=id, from_date=from_date, to_date=to_date, partners=partners),'date');
else:
sc_rs = []
if('adopt' in graph_type):
adopt_rs = run_query_dict(shared_sql.overview_line_chart(type='adoption',geog=geog,id=id, from_date=from_date, to_date=to_date, partners=partners),'date');
else:
adopt_rs = []
if('prac' in graph_type):
prac_rs = run_query_dict(shared_sql.overview_line_chart(type='practice',geog=geog,id=id, from_date=from_date, to_date=to_date, partners=partners),'date');
else:
prac_rs = []
if('person' in graph_type):
person_rs = run_query_dict(shared_sql.overview_line_chart(type='person',geog=geog,id=id, from_date=from_date, to_date=to_date, partners=partners),'date');
else:
person_rs = []
start_date = today = datetime.date.today()
if vid_prod_rs:
start_date = min(start_date, *(vid_prod_rs.keys()))
if sc_rs:
start_date = min(start_date,*(sc_rs.keys()))
if adopt_rs:
start_date = min(start_date,*(adopt_rs.keys()))
if prac_rs:
start_date = min(start_date,*(prac_rs.keys()))
if person_rs:
start_date = min(start_date,*(person_rs.keys()))
diff = (today - start_date).days
str_list = []
sum_vid = sum_sc = sum_adopt =sum_prac = sum_person = 0
for i in range(0,diff+1):
iter_date = start_date + datetime.timedelta(days=i)
if iter_date in vid_prod_rs:
sum_vid += vid_prod_rs[iter_date][0]
if iter_date in sc_rs:
sum_sc += sc_rs[iter_date][0]
if iter_date in adopt_rs:
sum_adopt += adopt_rs[iter_date][0]
if iter_date in prac_rs:
sum_prac += prac_rs[iter_date][0]
if iter_date in person_rs:
sum_person += person_rs[iter_date][0]
append_str = [str(iter_date)]
if('prod' in graph_type): append_str.append(float(sum_vid))
if('screen' in graph_type): append_str.append(float(sum_sc))
if('adopt' in graph_type): append_str.append(float(sum_adopt))
if('prac' in graph_type): append_str.append(float(sum_prac))
if('person' in graph_type): append_str.append(float(sum_person))
str_list.append(append_str)
#For settings
header=['date']
if('prod' in graph_type):
header.append('Total videos produced')
if('screen' in graph_type):
header.append('Total disseminations')
if('adopt' in graph_type):
header.append('Total adoptions')
if('prac' in graph_type):
header.append('Total practices')
if('person' in graph_type):
header.append('Total viewers')
str_list.insert(0,header)
return HttpResponse(json.dumps(str_list))