def video_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 not in geog_list):
raise Http404()
tot_vid = run_query_raw(
shared_sql.get_totals(geog, id, from_date, to_date, partners,
"tot_vid"))[0][0]
tot_vid = 0 if tot_vid is None else tot_vid
tot_vids_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']
# prod_duration_ls = map(lambda x: x[0], run_query_raw(video_analytics_sql.video_prod_duration(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners)))
# tot_avg = float(sum(prod_duration_ls))/len(prod_duration_ls) if prod_duration_ls else 0
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
get_req_url = '&'.join([
i for i in get_req_url.split('&') if i[:4] != 'geog' and i[:2] != 'id'
])
return render(request, 'video_module.html',dict(search_box_params = search_box_params,\
tot_video=tot_vid,\
tot_vids_screened=tot_vids_screened, \
#tot_average= tot_avg, \
get_req_url = get_req_url
))
def adoption_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 not in geog_list):
raise Http404()
totals = run_query(shared_sql.get_totals(geog, id, from_date, to_date, partners, values_to_fetch=['tot_att', 'tot_ado', 'tot_scr']))[0]
#total adoptions, total distinct practice adopted, distinct farmer adopting
main_stats = run_query(adoption_analytics_sql.adoption_tot_ado(geog, id, from_date, to_date, partners))[0]
main_stats['tot_ado'] = totals['tot_ado'] if totals['tot_ado'] is not None else 0
#Adoption rate
date_var = to_date if to_date else str(datetime.date.today())
adopt_rate_data = run_query(shared_sql.adoption_rate_totals(geog, id, date_var, partners))[0]
if(adopt_rate_data and adopt_rate_data['tot_per']):
main_stats.update(adopt_rate = (adopt_rate_data['tot_adopt_per']*100)/adopt_rate_data['tot_per'])
main_stats.update(avg_ado_per_farmer = adopt_rate_data['tot_active_adop'] / adopt_rate_data['tot_per'])
else:
main_stats.update(adopt_rate = 0)
main_stats.update(avg_ado_per_farmer = 0)
#Probability of Adoption
if(totals['tot_att'] and main_stats['tot_ado']):
main_stats.update(adopt_prob = float(main_stats['tot_ado'])/float(totals['tot_att']) * 100)
else:
main_stats.update(adopt_prob = 0)
#Number of practices repeated adopted by same farmer
repeat_pract_per = run_query_raw(adoption_analytics_sql.adoption_repeat_adoption_practice_count(geog, id, from_date, to_date, partners))
if repeat_pract_per != None and main_stats['tot_farmers']:
main_stats.update(repeat_pract = float(repeat_pract_per[0][0] * 100)/main_stats['tot_farmers'])
else:
main_stats.update(repeat_pract = 0)
#Avg adoption per Video
tot_vids_seen = run_query(video_analytics_sql.video_tot_scr(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners))[0]['count']
if tot_vids_seen and main_stats['tot_ado']:
main_stats.update(avg_ado_per_vid = float(main_stats['tot_ado']) / tot_vids_seen)
else:
main_stats.update(avg_ado_per_vid = 0)
#Avg adoption per Screening
if(totals['tot_scr'] and main_stats['tot_ado']):
main_stats.update(avg_ado_per_scr = float(main_stats['tot_ado']) / float(totals['tot_scr']))
else:
main_stats.update(avg_ado_per_scr = 0)
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
get_req_url = '&'.join([i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id'])
return render_to_response('adoption_module.html', dict(search_box_params = search_box_params,
get_req_url = get_req_url,
**main_stats
))
def adoption_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 not in geog_list):
raise Http404()
totals = run_query(shared_sql.get_totals(geog, id, from_date, to_date, partners, values_to_fetch=['tot_att', 'tot_ado', 'tot_scr']))[0]
#total adoptions, total distinct practice adopted, distinct farmer adopting
main_stats = run_query(adoption_analytics_sql.adoption_tot_ado(geog, id, from_date, to_date, partners))[0]
main_stats['tot_ado'] = totals['tot_ado'] if totals['tot_ado'] is not None else 0
#Adoption rate
date_var = to_date if to_date else (datetime.datetime.utcnow() - datetime.timedelta(1)).strftime('%Y-%m-%d')
adopt_rate_data = run_query(shared_sql.adoption_rate_totals(geog, id, date_var, partners))[0]
if(adopt_rate_data and adopt_rate_data['tot_per']):
main_stats.update(adopt_rate = (adopt_rate_data['tot_adopt_per']*100)/adopt_rate_data['tot_per'])
main_stats.update(avg_ado_per_farmer = adopt_rate_data['tot_active_adop'] / adopt_rate_data['tot_per'])
else:
main_stats.update(adopt_rate = 0)
main_stats.update(avg_ado_per_farmer = 0)
#Probability of Adoption
if(totals['tot_att'] and main_stats['tot_ado']):
main_stats.update(adopt_prob = float(main_stats['tot_ado'])/float(totals['tot_att']) * 100)
else:
main_stats.update(adopt_prob = 0)
#Number of practices repeated adopted by same farmer
repeat_pract_per = run_query_raw(adoption_analytics_sql.adoption_repeat_adoption_practice_count(geog, id, from_date, to_date, partners))
if repeat_pract_per != None and main_stats['tot_farmers']:
main_stats.update(repeat_pract = float(repeat_pract_per[0][0] * 100)/main_stats['tot_farmers'])
else:
main_stats.update(repeat_pract = 0)
#Avg adoption per Video
tot_vids_seen = run_query(video_analytics_sql.video_tot_scr(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners))[0]['count']
if tot_vids_seen and main_stats['tot_ado']:
main_stats.update(avg_ado_per_vid = float(main_stats['tot_ado']) / tot_vids_seen)
else:
main_stats.update(avg_ado_per_vid = 0)
#Avg adoption per Screening
if(totals['tot_scr'] and main_stats['tot_ado']):
main_stats.update(avg_ado_per_scr = float(main_stats['tot_ado']) / float(totals['tot_scr']))
else:
main_stats.update(avg_ado_per_scr = 0)
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
get_req_url = '&'.join([i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id'])
return render_to_response('adoption_module.html', dict(search_box_params = search_box_params,
get_req_url = get_req_url,
**main_stats
))
def video_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 not in geog_list):
raise Http404()
tot_vid = run_query_raw(shared_sql.get_totals(geog, id, from_date, to_date, partners, "tot_vid"))[0][0];
tot_vid = 0 if tot_vid is None else tot_vid
tot_vids_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']
prod_duration_ls = map(lambda x: x[0], run_query_raw(video_analytics_sql.video_prod_duration(geog=geog,id=id,from_date=from_date,to_date=to_date,partners=partners)))
tot_avg = float(sum(prod_duration_ls))/len(prod_duration_ls) if prod_duration_ls else 0
search_box_params = views.common.get_search_box(request)
get_req_url = request.META['QUERY_STRING']
get_req_url = '&'.join([i for i in get_req_url.split('&') if i[:4]!='geog' and i[:2]!='id'])
return render_to_response('video_module.html',dict(search_box_params = search_box_params,\
tot_video=tot_vid,\
tot_vids_screened=tot_vids_screened, \
tot_average= tot_avg, \
get_req_url = get_req_url
))
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 \
))
